Id |
Subject |
Object |
Predicate |
Lexical cue |
T464 |
0-12 |
Sentence |
denotes |
STAR★Methods |
T465 |
14-33 |
Sentence |
denotes |
Key Resources Table |
T466 |
34-71 |
Sentence |
denotes |
REAGENT or RESOURCE SOURCE IDENTIFIER |
T467 |
72-90 |
Sentence |
denotes |
Biological Samples |
T468 |
91-288 |
Sentence |
denotes |
M. mulatta lung, bone marrow, brain, colon, ileum, jejunum, liver, lung, peripheral blood, spleen, thymus, tonsil, and lymph nodes from various sites Washington National Primate Research Center N/A |
T469 |
289-373 |
Sentence |
denotes |
Human lung tissue from surgical excess University of KwaZulu-Natal IRB Code:BE024/09 |
T470 |
374-538 |
Sentence |
denotes |
Human non-inflamed ileal pinch biopsies Multi-center clinical study, approved by the Institutional Review Board at Boston Children’s Hospital IRB Code:IRB-P00030890 |
T471 |
539-604 |
Sentence |
denotes |
Human nasal lavage University of Massachusetts Medical School N/A |
T472 |
605-715 |
Sentence |
denotes |
Human nasal scraping, polyp scrapings, ethmoid sinus surgical tissue samples Partners HealthCare Institute N/A |
T473 |
716-809 |
Sentence |
denotes |
M. fascicularis lung and granulomatous tissue University of Pittsburgh School of Medicine N/A |
T474 |
810-820 |
Sentence |
denotes |
Antibodies |
T475 |
821-876 |
Sentence |
denotes |
anti-ACE2 human antibody, goat polyclonal R&D Cat#AF933 |
T476 |
877-904 |
Sentence |
denotes |
Bacterial and Virus Strains |
T477 |
905-934 |
Sentence |
denotes |
MHV-68 Adler et al., 2000 N/A |
T478 |
935-1009 |
Sentence |
denotes |
Mycobacterium Tuberculosis, Modified Erdman Strain Martin et al., 2017 N/A |
T479 |
1010-1055 |
Sentence |
denotes |
Chemicals, Peptides, and Recombinant Proteins |
T480 |
1056-1094 |
Sentence |
denotes |
2-Mercaptoethanol Sigma Cat#M3148-25ML |
T481 |
1095-1122 |
Sentence |
denotes |
RLT Buffer QIAGEN Cat#79216 |
T482 |
1123-1158 |
Sentence |
denotes |
dNTP New England BioLabs Cat#N0447L |
T483 |
1159-1203 |
Sentence |
denotes |
RNase Inhibitor Fisher Scientific Cat#AM2696 |
T484 |
1204-1262 |
Sentence |
denotes |
Maxima RNaseH-minus RT Enzyme Fisher Scientific Cat#EP0753 |
T485 |
1263-1290 |
Sentence |
denotes |
MgCl2 Sigma Cat#63069-100ML |
T486 |
1291-1318 |
Sentence |
denotes |
Betaine Sigma Cat#B0300-5VL |
T487 |
1319-1379 |
Sentence |
denotes |
AMPure RNAClean XP RNA-SPRI beads Beckman Coulter Cat#A63987 |
T488 |
1380-1427 |
Sentence |
denotes |
AMPure XP SPRI beads Beckman Coulter Cat#A63881 |
T489 |
1428-1468 |
Sentence |
denotes |
Guanidinium thiocyanate Sigma Cat#AM9422 |
T490 |
1469-1493 |
Sentence |
denotes |
Sarkosyl Sigma Cat#L7414 |
T491 |
1494-1538 |
Sentence |
denotes |
Exonuclease I New England BioLabs Cat#M0293S |
T492 |
1539-1585 |
Sentence |
denotes |
Klenow Fragment New England BioLabs Cat#M0212L |
T493 |
1586-1615 |
Sentence |
denotes |
DNase I Roche Cat#10104159001 |
T494 |
1616-1661 |
Sentence |
denotes |
Collagenase IV Life Technologies Cat#17104019 |
T495 |
1662-1697 |
Sentence |
denotes |
Collagenase D Roche Cat#11088858001 |
T496 |
1698-1730 |
Sentence |
denotes |
Liberase TM Roche Cat#5401119001 |
T497 |
1731-1764 |
Sentence |
denotes |
TrypLE Thermo Fisher Cat#12604013 |
T498 |
1765-1802 |
Sentence |
denotes |
ACK Buffer Thermo Fisher Cat#A1049201 |
T499 |
1803-1829 |
Sentence |
denotes |
IFN-α Biolegend Cat#752802 |
T500 |
1830-1867 |
Sentence |
denotes |
Dispase II Thermo Fisher Cat#17105041 |
T501 |
1868-1909 |
Sentence |
denotes |
Elastase Worthington Biochem Cat#LS002292 |
T502 |
1910-1968 |
Sentence |
denotes |
Pneumacult-Ex serum-free media StemCell Technologies, Inc. |
T503 |
1969-1978 |
Sentence |
denotes |
Cat#05040 |
T504 |
1979-2011 |
Sentence |
denotes |
IL-4, human Biolegend Cat#574002 |
T505 |
2012-2045 |
Sentence |
denotes |
IL17A, human Biolegend Cat#570502 |
T506 |
2046-2078 |
Sentence |
denotes |
IFNγ, human Biolegend Cat#570202 |
T507 |
2079-2111 |
Sentence |
denotes |
IFNγ, mouse Peprotech Cat#315-05 |
T508 |
2112-2144 |
Sentence |
denotes |
IFNα, human Biolegend Cat#592702 |
T509 |
2145-2177 |
Sentence |
denotes |
IFNα, mouse Biolegend Cat#752802 |
T510 |
2178-2217 |
Sentence |
denotes |
IFNβ, mouse R&D Systems Cat#8234-MB-010 |
T511 |
2218-2244 |
Sentence |
denotes |
Critical Commercial Assays |
T512 |
2245-2308 |
Sentence |
denotes |
Nextera XT DNA Library Preparation Kit Illumina Cat#FC-131-1096 |
T513 |
2309-2364 |
Sentence |
denotes |
High Sensitivity D5000 ScreenTape Agilent Cat#5067-5592 |
T514 |
2365-2421 |
Sentence |
denotes |
Qubit dsDNA High-Sensitivity kit ThermoFisher Cat#Q32854 |
T515 |
2422-2489 |
Sentence |
denotes |
NextSeq 500/550 High Output v2 (75 cycles) Illumina Cat#FC-404-2005 |
T516 |
2490-2540 |
Sentence |
denotes |
NovaSeq 6000 S2 (100 cycles) Illumina Cat#20012862 |
T517 |
2541-2595 |
Sentence |
denotes |
Kapa HiFi HotStart ReadyMix Kapa Biosystems Cat#KK2602 |
T518 |
2596-2654 |
Sentence |
denotes |
MACOSKO-2011-10 mRNA Capture Beads ChemGenes Cat#NC0927472 |
T519 |
2655-2716 |
Sentence |
denotes |
Tumor Dissociation Kit, Human Miltenyi Biotec Cat#130-095-929 |
T520 |
2717-2767 |
Sentence |
denotes |
Chromium Single Cell 3′ v2 10X Genomics Cat#120237 |
T521 |
2768-2782 |
Sentence |
denotes |
Deposited Data |
T522 |
2783-2897 |
Sentence |
denotes |
scRNA-seq Processed Data This paper https://singlecell.broadinstitute.org/single_cell?scpbr=the-alexandria-project |
T523 |
2898-3018 |
Sentence |
denotes |
scRNA-seq Processed Data This paper https://drive.google.com/drive/folders/1bxCIqNeZ7wLuVOT16gphwj98_cc9KhrV?usp=sharing |
T524 |
3019-3128 |
Sentence |
denotes |
scRNA-seq Processed Data This paper https://chanzuckerberg.github.io/cellxgene/posts/cellxgene_cziscience_com |
T525 |
3129-3222 |
Sentence |
denotes |
scRNA-seq Processed Data This paper https://singlecell.broadinstitute.org/single_cell/covid19 |
T526 |
3223-3333 |
Sentence |
denotes |
scRNA-seq Processed Data (all species) and FASTQ files (for NHP and murine datasets) This paper GEO: GSE148829 |
T527 |
3334-3543 |
Sentence |
denotes |
scRNA-seq data from human nasal mucosa Ordovas-Montanes et al., 2018 https://singlecell.broadinstitute.org/single_cell/study/SCP253/allergic-inflammatory-memory-in-human-respiratory-epithelial-progenitor-cells |
T528 |
3544-3681 |
Sentence |
denotes |
Human reference genome NCBI build 38 (GRCh38) Genome Reference Consortium http://www.ncbi.nlm.nih.gov/projects/genome/assembly/grc/human/ |
T529 |
3682-3810 |
Sentence |
denotes |
Human reference genome NCBI build 19 Genome Reference Consortium http://www.ncbi.nlm.nih.gov/projects/genome/assembly/grc/human/ |
T530 |
3811-3939 |
Sentence |
denotes |
Mouse reference genome NCBI build 10 Genome Reference Consortium http://www.ncbi.nlm.nih.gov/projects/genome/assembly/grc/mouse/ |
T531 |
3940-4116 |
Sentence |
denotes |
Macaca mulatta reference genome assembly 8.0.1, annotation 102 NCBI Eukaryotic Genome Annotation Pipeline https://www.ncbi.nlm.nih.gov/genome/annotation_euk/Macaca_mulatta/102/ |
T532 |
4117-4299 |
Sentence |
denotes |
Macaca fascicularis reference genome assembly 5, annotation 101 NCBI Eukaryotic Genome Annotation Pipeline https://www.ncbi.nlm.nih.gov/genome/annotation_euk/Macaca_fascicularis/101/ |
T533 |
4300-4370 |
Sentence |
denotes |
Interferome Database Rusinova et al., 2013 http://www.interferome.org/ |
T534 |
4371-4461 |
Sentence |
denotes |
RNA-seq from human lung explants ± ex vivo IAV infection Matos et al., 2019 GEO: GSE135069 |
T535 |
4462-4557 |
Sentence |
denotes |
RNA-seq from human nasal epithelial cells Giovannini-Chami et al., 2012 GEO: GSE19190, GSE22147 |
T536 |
4558-4578 |
Sentence |
denotes |
Experimental Models: |
T537 |
4579-4589 |
Sentence |
denotes |
Cell Lines |
T538 |
4590-4596 |
Sentence |
denotes |
Human: |
T539 |
4597-4628 |
Sentence |
denotes |
Passage 4 BEAS-2B ATCC CRL-9609 |
T540 |
4629-4649 |
Sentence |
denotes |
Experimental Models: |
T541 |
4650-4667 |
Sentence |
denotes |
Organisms/Strains |
T542 |
4668-4717 |
Sentence |
denotes |
Mouse: C57BL/6J The Jackson Laboratory Cat#000664 |
T543 |
4718-4800 |
Sentence |
denotes |
Mouse: C57BL/6, IFNγR−/− B6.129S7-Ifngr1tm1Agt/J The Jackson Laboratory Cat#003288 |
T544 |
4801-4817 |
Sentence |
denotes |
Oligonucleotides |
T545 |
4818-4966 |
Sentence |
denotes |
SMART-seq2 2 3′ Oligo-dT Primer: /5Biosg/AAG CAG TGG TAT CAA CGC AGA GTA CTT TTT TTT TTT TTT TTT TTT TTT TTT TTT TVN Integrated DNA Technologies N/A |
T546 |
4967-5060 |
Sentence |
denotes |
SMART-seq2 5′ TSO: AAG CAG TGG TAT CAA CGC AGA GTA CAT rGrGrG Integrated DNA Technologies N/A |
T547 |
5061-5153 |
Sentence |
denotes |
SMART-seq2 and Seq-Well ISPCR:AAG CAG TGG TAT CAA CGC AGA GT Integrated DNA Technologies N/A |
T548 |
5154-5257 |
Sentence |
denotes |
Custom Read 1 Primer: GCC TGT CCG CGG AAG CAG TGG TAT CAA CGC AGA GTA C Integrated DNA Technologies N/A |
T549 |
5258-5349 |
Sentence |
denotes |
Seq-Well 5′ TSO: AAG CAG TGG TAT CAA CGC AGA GTG AAT rGrGrG Integrated DNA Technologies N/A |
T550 |
5350-5512 |
Sentence |
denotes |
Seq-Well Custom P5-SMART PCR hybrid oligo: AAT GAT ACG GCG ACC ACC GAG ATC TAC ACG CCT GTC CGC GGA AGC AGT GGT ATC AAC GCA GAG TAC Integrated DNA Technologies N/A |
T551 |
5513-5614 |
Sentence |
denotes |
Seq-Well dN-SMRT oligo: AAG CAG TGG TAT CAA CGC AGA GTG ANN NGG NNN B Integrated DNA Technologies N/A |
T552 |
5615-5638 |
Sentence |
denotes |
Software and Algorithms |
T553 |
5639-5678 |
Sentence |
denotes |
R R Core Team https://www.r-project.org |
T554 |
5679-5758 |
Sentence |
denotes |
R package – Seurat v2.3.4 and v3.1.0 Github https://github.com/satijalab/seurat |
T555 |
5759-5818 |
Sentence |
denotes |
Scanpy Wolf et al., 2018 https://github.com/theislab/scanpy |
T556 |
5819-5887 |
Sentence |
denotes |
R package – SCDE Bioconductor http://bioconductor.org/packages/scde/ |
T557 |
5888-5965 |
Sentence |
denotes |
Prism 6 GraphPad Software https://www.graphpad.com/scientific-software/prism/ |
T558 |
5966-6011 |
Sentence |
denotes |
STAR Github https://github.com/alexdobin/STAR |
T559 |
6012-6097 |
Sentence |
denotes |
Uniform Manifold Approximation and Projection Github https://github.com/lmcinnes/umap |
T560 |
6098-6155 |
Sentence |
denotes |
Rtsne CRAN https://cran.r-project.org/web/packages/Rtsne/ |
T561 |
6157-6178 |
Sentence |
denotes |
Resource Availability |
T562 |
6180-6192 |
Sentence |
denotes |
Lead Contact |
T563 |
6193-6372 |
Sentence |
denotes |
Further information and requests for resources and reagents should be directed to and will be fulfilled by Dr. Jose Ordovas-Montanes (jose.ordovas-montanes@childrens.harvard.edu). |
T564 |
6374-6396 |
Sentence |
denotes |
Materials Availability |
T565 |
6397-6445 |
Sentence |
denotes |
This study did not generate new unique reagents. |
T566 |
6447-6473 |
Sentence |
denotes |
Data and Code Availability |
T567 |
6474-6715 |
Sentence |
denotes |
In Table S9 , we provide a guide to all datasets analyzed in this paper as well as links to each individual dataset for download with the main landing page here: https://singlecell.broadinstitute.org/single_cell?scpbr=the-alexandria-project. |
T568 |
6716-6920 |
Sentence |
denotes |
To download the data from the portal, follow the link to the visualization page, sign in a free account in the portal using a Google apps enabled email address, and select the ‘Download’ tab in the study. |
T569 |
6921-7026 |
Sentence |
denotes |
Downloadable datasets include both raw and normalized cell x gene matrices, as well as relevant metadata. |
T570 |
7027-7186 |
Sentence |
denotes |
These datasets are additionally available here to facilitate downloading: https://drive.google.com/drive/folders/1bxCIqNeZ7wLuVOT16gphwj98_cc9KhrV?usp=sharing. |
T571 |
7187-7491 |
Sentence |
denotes |
We have also posted these cell x gene matrices to Chan Zuckerberg Initiative cellxgene (https://chanzuckerberg.github.io/cellxgene/posts/cellxgene_cziscience_com) and the Broad Institute Single Cell COVID-19 portal (https://singlecell.broadinstitute.org/single_cell/covid19) as leading community efforts. |
T572 |
7492-7635 |
Sentence |
denotes |
FASTQ files and cell x gene matrices for NHP and murine datasets, and cell x gene matrices for human datasets, are available at GEO: GSE148829. |
T573 |
7636-7695 |
Sentence |
denotes |
In this same table, we further highlight four access types. |
T574 |
7696-8183 |
Sentence |
denotes |
1. published datasets where everything is available (1 study); 2. unpublished datasets where everything is available (2 studies, 19,670 new cells for download), 3. unpublished datasets where ACE2+ cell subsets, and the necessary subsets to contextualize those cells (i.e., epithelial cells for type II pneumocytes) are fully available (5 studies, 17,986 new cells for download); and, 4. those unpublished datasets where expression is shared for ACE2/TMPRSS2 (2 studies, 9,112 new cells). |
T575 |
8184-8359 |
Sentence |
denotes |
For those unpublished datasets where only specific subsets of cells or genes are available, full expression matrices are available upon request for COVID-19 related questions. |
T576 |
8360-8448 |
Sentence |
denotes |
All data included in the present study can be visualized using the following web viewer: |
T577 |
8449-8528 |
Sentence |
denotes |
https://singlecell.broadinstitute.org/single_cell?scpbr=the-alexandria-project. |
T578 |
8529-8898 |
Sentence |
denotes |
As we gain further insight and feedback from our own groups, collaborators, and investigators, we will continue to provide updates on our resource websites, including the utility of in vitro systems, such as organoids (Mead et al., 2018), for the study of SARS-CoV-2: http://shaleklab.com/resource/covid-19-resources/ and www.ordovasmontaneslab.com/covid-19-resources/. |
T579 |
8899-9088 |
Sentence |
denotes |
We also note that there are several ongoing efforts unified together through the HCA Lung Biological Network group that we will reference and to which we will link as they become available. |
T580 |
9089-9209 |
Sentence |
denotes |
No custom code was used to analyze these data and all methods and packages used are cited in the Method Details section. |
T581 |
9211-9249 |
Sentence |
denotes |
Experimental Model and Subject Details |
T582 |
9251-9276 |
Sentence |
denotes |
Human Intestinal Biopsies |
T583 |
9277-9509 |
Sentence |
denotes |
For human intestinal biopsies from the terminal ileum, the subjects were enrolled on a multi-center clinical study, which was approved by the Institutional Review Board at Boston Children’s Hospital (protocol number: IRB-P00030890). |
T584 |
9510-9634 |
Sentence |
denotes |
Full information related to subject age/developmental stage and sex found in metadata associated with provided raw datasets. |
T585 |
9636-9664 |
Sentence |
denotes |
Human Lungs, Surgical Excess |
T586 |
9665-9893 |
Sentence |
denotes |
Samples were obtained through indicated lung lobe resection or diagnostic procedures in collaboration with clinicians at the Department of Cardiothoracic Surgery at Inkosi Albert Luthuli Central Hospital in Durban, South Africa. |
T587 |
9894-9946 |
Sentence |
denotes |
Informed consent was obtained from each participant. |
T588 |
9947-10061 |
Sentence |
denotes |
The study protocol was approved by the University of KwaZulu-Natal Institutional Review Board (approval BE024/09). |
T589 |
10062-10186 |
Sentence |
denotes |
Full information related to subject age/developmental stage and sex found in metadata associated with provided raw datasets. |
T590 |
10188-10220 |
Sentence |
denotes |
Human Nasal Polyps and Scrapings |
T591 |
10221-10499 |
Sentence |
denotes |
For inferior turbinate nasal scrapings, polyp scrapings, and ethmoid sinus surgical tissue samples, the Partners HealthCare Institutional Review Board (Boston, Massachusetts), approved the study and all subjects provided written informed consent (Ordovas-Montanes et al., 2018). |
T592 |
10500-10624 |
Sentence |
denotes |
Full information related to subject age/developmental stage and sex found in metadata associated with provided raw datasets. |
T593 |
10626-10676 |
Sentence |
denotes |
Human Nasal Washes, Healthy and Influenza Infected |
T594 |
10677-10855 |
Sentence |
denotes |
The Institutional Review Board of the University of Massachusetts Medical School (Worcester, Massachusetts) approved the study and all subjects provided written informed consent. |
T595 |
10857-10907 |
Sentence |
denotes |
Cell Culture of Primary Basal Cells and Cell Lines |
T596 |
10908-11282 |
Sentence |
denotes |
Human basal cells from non-polyp surgical resections from ethmoid sinus, BEAS-2B cells (ATCC), or mouse tracheal basal cells were placed into culture at a number of 10,000 cells seeded at passage 3 and cultured at confluence in 96 well flat-bottom collagen-coated tissue culture plates (Corning 3596) for 48 h in Pneumacult-Ex serum-free media (StemCell Technologies, Inc.). |
T597 |
11283-11327 |
Sentence |
denotes |
All cells were incubated at 37°C and 5% CO2. |
T598 |
11329-11360 |
Sentence |
denotes |
Non-Human Primates (M. mulatta) |
T599 |
11361-11583 |
Sentence |
denotes |
Healthy and SHIV-infected non-human primate (M. mulatta) work was conducted at the Washington National Primate Research Center (WaNPRC), an AAALAC accredited program, in accordance with the regulations detailed in the U.S. |
T600 |
11584-11726 |
Sentence |
denotes |
Department of Agriculture Animal Welfare Act and in the Guide for the Care and Use of Laboratory Animals of the National Institutes of Health. |
T601 |
11727-11815 |
Sentence |
denotes |
It was approved by University of Washington Institutional Animal Care and Use Committee. |
T602 |
11816-11892 |
Sentence |
denotes |
Expanded cohort characteristics described previously (Colonna et al., 2018). |
T603 |
11893-12017 |
Sentence |
denotes |
Full information related to subject age/developmental stage and sex found in metadata associated with provided raw datasets. |
T604 |
12019-12055 |
Sentence |
denotes |
Non-Human Primates (M. fascicularis) |
T605 |
12056-12294 |
Sentence |
denotes |
Tissues from Mycobacterium tuberculosis-infected non-human primates (M. fascicularis) were conducted at the University of Pittsburgh School of Medicine, an AAALAC accredited program, in accordance with the regulations detailed in the U.S. |
T606 |
12295-12437 |
Sentence |
denotes |
Department of Agriculture Animal Welfare Act and in the Guide for the Care and Use of Laboratory Animals of the National Institutes of Health. |
T607 |
12438-12562 |
Sentence |
denotes |
Full information related to subject age/developmental stage and sex found in metadata associated with provided raw datasets. |
T608 |
12564-12619 |
Sentence |
denotes |
Mouse Nasal and Olfactory Epithelium and Tracheal Cells |
T609 |
12620-12822 |
Sentence |
denotes |
C57BL/6J mice purchased from Jackson laboratory (Bar Harbor, ME, USA) were maintained within Ragon Institute’s HPPF barrier facility and all experiments were conducted with institutional IACUC approval. |
T610 |
12823-12904 |
Sentence |
denotes |
In this study, mice were 8-10 weeks of age, representing male and female animals. |
T611 |
12906-12934 |
Sentence |
denotes |
Mouse Lungs, MHV68 Infection |
T612 |
12935-13015 |
Sentence |
denotes |
C57BL/6 mice were purchased from Charles River Laboratories (Sulzfeld, Germany). |
T613 |
13016-13263 |
Sentence |
denotes |
IFNγR−/− mice on C57BL/6 background (C57BL/6, IFNγR−/− B6.129S7-Ifngr1 tm1Agt/J) were originally obtained from the Jackson Laboratory (Bar Harbor, ME, USA) and subsequently bred and propagated under SPF conditions at the Helmholtz Zentrum München. |
T614 |
13264-13430 |
Sentence |
denotes |
Animals with different genotypes were kept in the same animal room for the time of the experiment including an adaptation period prior to the start of the experiment. |
T615 |
13431-13535 |
Sentence |
denotes |
All animal experiments were in compliance with the German Animal Welfare Act (German Federal Law §8 Abs. |
T616 |
13536-13624 |
Sentence |
denotes |
1 TierSchG), and the protocols were approved by the local Animal Care and Use Committee. |
T617 |
13626-13640 |
Sentence |
denotes |
Method Details |
T618 |
13642-13717 |
Sentence |
denotes |
Methods of Sample Collection and Tissue Preparation for Single-Cell RNA-Seq |
T619 |
13719-13784 |
Sentence |
denotes |
NHP Ileum, Jejunum, Colon, Liver, Tonsil, Thymus, and Lung Tissue |
T620 |
13785-13948 |
Sentence |
denotes |
Animals were perfused with 0.5 L of PBS/kg immediately following euthanasia, tissues were isolated and placed in RPMI + 10% FBS and kept on ice until dissociation. |
T621 |
13949-14096 |
Sentence |
denotes |
Tissue sections were digested by mincing and incubating with collagenase IV (Life Technologies) and DNase I (Roche) at 37°C for 1 h with agitation. |
T622 |
14097-14327 |
Sentence |
denotes |
Digested tissue was passed through a 100 μm metal strainer, cells were pelleted by centrifugation at 300 g, rinsed with RPMI + 10% FBS, counted, and prepared as a single cell suspension for scRNA-seq using Seq-Well v1 (see below). |
T623 |
14329-14368 |
Sentence |
denotes |
NHP Lymphoid Organs, Bone Marrow, PBMCs |
T624 |
14369-14541 |
Sentence |
denotes |
All lymph nodes, spleen, and bone marrow were ground through a metal strainer, transferred to a conical in RPMI + 10% FBS, and pelleted by centrifugation at 400 g x 10 min. |
T625 |
14542-14644 |
Sentence |
denotes |
LN-derived cells were resuspended in RPMI + 10% FBS, counted and prepared as a single cell suspension. |
T626 |
14645-14765 |
Sentence |
denotes |
Spleen, bone marrow, and PBMCs were subjected to ACK lysis for 10 min at room temperature, quenched with RPMI + 10% FBS. |
T627 |
14766-14925 |
Sentence |
denotes |
PBMCs and bone marrow derived cells were purified over a ficoll gradient (GE Healthcare) by centrifuging at 400 g for 20 min at room temperature with no brake. |
T628 |
14926-15038 |
Sentence |
denotes |
Cells were then resuspended in RPMI + 10% FBS, counted, and diluted for scRNA-seq using Seq-Well v1 (see below). |
T629 |
15040-15084 |
Sentence |
denotes |
NHP Tuberculosis Infected Lung and Granuloma |
T630 |
15085-15218 |
Sentence |
denotes |
Ten Mycobacterium tuberculosis infected (Martin et al., 2017) adult non-human primates (M. fascicularis) were included in this study. |
T631 |
15219-15461 |
Sentence |
denotes |
A piece of lung tissue (without any grossly visible pathology) and 4 individual TB lung granulomas per animal were excised at necropsy and enzymatically dissociated using the GentleMacs system (Tumor dissociation kit, human; Miltenyi Biotec). |
T632 |
15462-15586 |
Sentence |
denotes |
Single cell suspensions were resuspended in RPMI + 10% FBS, counted and diluted for scRNA-seq using Seq-Well S3 (see below). |
T633 |
15588-15605 |
Sentence |
denotes |
Human Lung Tissue |
T634 |
15606-15758 |
Sentence |
denotes |
Surgical samples from diseased lung tissue (n = 3 TB+HIV+; n = 3 TB+; n = 2 non-infected patients) were processed as described in (Ardain et al., 2019). |
T635 |
15759-16028 |
Sentence |
denotes |
Briefly, each sample was collected into cold RP-10 (RPMI (Sigma-Aldrich) + 10% FBS), minced, and incubated for 25-30 min at 37°C with digestion buffer containing collagenase D (Sigma-Aldrich), DNase I (Sigma-Aldrich) in RPMI 1640 (Sigma-Aldrich) with 10% FBS (Hyclone). |
T636 |
16029-16185 |
Sentence |
denotes |
Following incubation, samples were homogenized using a GentleMACS, filtered using a 70 μm metal strainer, and pelleted by centrifugation at 400 g for 5 min. |
T637 |
16186-16394 |
Sentence |
denotes |
After obtaining the pellet, cells were resuspended in RP-10, passed through another 70μm strainer (Corning), stained with trypan blue, and then counted and diluted for scRNA-seq using Seq-Well S3 (see below). |
T638 |
16396-16407 |
Sentence |
denotes |
Human Ileum |
T639 |
16408-16497 |
Sentence |
denotes |
Single-cell suspensions were collected from biopsies as described (Smillie et al., 2019). |
T640 |
16498-16647 |
Sentence |
denotes |
Briefly, biopsies were rinsed in cold PBS, the epithelial layer was separated from the underlying lamina propria by end over end rotation for 15 min. |
T641 |
16648-16842 |
Sentence |
denotes |
The lamina propria and epithelial fractions were digested separately, using Liberase TM (Roche) and DNase I (Roche) for the lamina propria, and TrypLE (ThermoFisher) for the epithelial fraction. |
T642 |
16843-16975 |
Sentence |
denotes |
Following digestion, cells were pelleted by centrifugation, subjected to ACK lysis for 3 min, and filtered through a 40 μm strainer. |
T643 |
16976-17111 |
Sentence |
denotes |
Following centrifugation, the cells were counted and prepared as a single cell suspension for scRNA-seq using 10X 3′ v2 (10X Genomics). |
T644 |
17113-17145 |
Sentence |
denotes |
Nasal Mucosa and Nasal Scrapings |
T645 |
17146-17287 |
Sentence |
denotes |
Surgical samples from ethmoid sinus and nasal scraping of the inferior turbinate were processed as described (Ordovas-Montanes et al., 2018). |
T646 |
17288-17518 |
Sentence |
denotes |
Briefly, each sample was collected into cold RPMI (Corning), minced and incubated for 30 min (15 min for nasal scrapings) at 37°C with digestion buffer containing collagenase IV (Worthington), DNase I (Roche) in RPMI with 10% FBS. |
T647 |
17519-17576 |
Sentence |
denotes |
Samples were triturated and digestion quenched with EDTA. |
T648 |
17577-17886 |
Sentence |
denotes |
Cells were filtered using a 70 μm metal strainer and pelleted by centrifugation at 500 g, rinsed with PBS, and subjected to red blood cell (RBC) lysis using ACK buffer (ThermoFisher) for 3 min on ice, and finally pelleted prepared as a single cell suspension for scRNA-seq using Seq-Well v1 or S3 (see below). |
T649 |
17888-17930 |
Sentence |
denotes |
Interferon Treatment of Mouse Nasal Mucosa |
T650 |
17931-18064 |
Sentence |
denotes |
Mice received either 200ng of IFNα (Biolegend 752802) or saline intranasally (each group n = 2 mice), and were sacrificed 12 h later. |
T651 |
18065-18164 |
Sentence |
denotes |
Respiratory and olfactory mucosa were isolated as in (Davidson et al., 2004, Dunston et al., 2013). |
T652 |
18165-18307 |
Sentence |
denotes |
Briefly, using surgical tools under a dissecting microscope, the skull bones surrounding the nasal tissue of skinned mouse heads were removed. |
T653 |
18308-18387 |
Sentence |
denotes |
The respiratory and olfactory mucosa were collected in RPMI media with 10% FBS. |
T654 |
18388-18502 |
Sentence |
denotes |
Cells were digested in media containing Liberase TM (Roche) and DNase I (Roche) for 30 min at 37°C with agitation. |
T655 |
18503-18643 |
Sentence |
denotes |
Cells were filtered using a 70 μm strainer, washed with EDTA-containing media to quench enzymatic digestion, and pelleted by centrifugation. |
T656 |
18644-18820 |
Sentence |
denotes |
RBCs were lysed using ACK buffer (ThermoFisher) for 2 min, cells were again pelleted, counted, and prepared as a diluted single cell suspension for scRNA-seq using Seq-Well S3. |
T657 |
18822-18847 |
Sentence |
denotes |
MHV68 Infected Mouse Lung |
T658 |
18848-18932 |
Sentence |
denotes |
Mice were housed in individually ventilated cages during the MHV68 infection period. |
T659 |
18933-19033 |
Sentence |
denotes |
MHV68 stocks were grown and quantified by plaque assay as previously described (Adler et al., 2000). |
T660 |
19034-19159 |
Sentence |
denotes |
Mice were infected intranasally (i.n.) with 5 × 10∗4 plaque forming units of MHV68 diluted in PBS in a total volume of 30 μl. |
T661 |
19160-19245 |
Sentence |
denotes |
Prior to i.n. infection, mice were anesthetized with medetomidine–midazolam–fentanyl. |
T662 |
19246-19382 |
Sentence |
denotes |
At the predetermined time points, mice were sacrificed by cervical dislocation and lung tissue was processed for subsequent experiments. |
T663 |
19383-19610 |
Sentence |
denotes |
All lobes were removed, minced and transferred for mild enzymatic digestion for 20-30 min at 37°C in an enzymatic mix containing Dispase (50 caseinolytic U/mL), Collagenase (2 mg/mL), Elastase (1 mg/mL), and DNase I (30 μg/mL). |
T664 |
19611-19707 |
Sentence |
denotes |
Single cells were harvested by straining the digested tissue suspension through a 70μm strainer. |
T665 |
19708-19819 |
Sentence |
denotes |
After centrifugation at 300 x g for 5 min, single cells were counted, and prepared as a single cell suspension. |
T666 |
19820-19951 |
Sentence |
denotes |
For Drop-seq, cells were aliquoted in PBS supplemented with 0.04% of bovine serum albumin at a final concentration of 100 cells/μl. |
T667 |
19953-19992 |
Sentence |
denotes |
Nasal Washes during Influenza Infection |
T668 |
19993-20507 |
Sentence |
denotes |
Nasal washes were obtained from adult healthy controls and from adults with diagnosis of acute influenza A or B by rapid antigen test (Flu A or B antigen, direct fluorescence antigen test) and/or by respiratory virus panel (PCR testing for influenza A, influenza A H1, influenza A H3, influenza B, adenovirus, metapneumovirus, respiratory syncytial virus A, respiratory syncytial virus B, rhino/enterovirus, parainfluenza 1, parainfluenza 2, parainfluenza 3), who show symptoms up to seven days (Cao et al., 2020). |
T669 |
20508-20622 |
Sentence |
denotes |
Samples were obtained by irrigation of each naris with up to 10 mL of saline, and collected in a single container. |
T670 |
20623-20697 |
Sentence |
denotes |
The sample was then transported to the research laboratory for processing. |
T671 |
20698-20838 |
Sentence |
denotes |
Upon receipt, the sample was immediately stored on ice and 10 mL cell growth media (DMEM or RPMI1640 with 10% fetal bovine serum) was added. |
T672 |
20839-20938 |
Sentence |
denotes |
The material was strained using a 40 μm nylon cell strainer (Corning) into a 50 mL centrifuge tube. |
T673 |
20939-20989 |
Sentence |
denotes |
Cells were pelleted at 1300 rpm for 10 min at 4°C. |
T674 |
20990-21179 |
Sentence |
denotes |
All but 1 mL of supernatant was discarded, the pellet resuspended in the remaining 1 mL of supernatant, and material was transferred to an Eppendorf tube and pelleted at 2000 rpm for 5 min. |
T675 |
21180-21447 |
Sentence |
denotes |
If the pellet contained visible blood, 200 μL of RBC lysis solution (ACK buffer, Thermo Fisher) was added to resuspend the pellet and incubated at room temperature for 2 min, after which 1 mL of cell media was added, and the cells were pelleted at 2000 rpm for 5 min. |
T676 |
21448-21564 |
Sentence |
denotes |
The final pellet was resuspended in up to 1 mL of media and quantified before performing scRNA-seq with Seq-Well v1. |
T677 |
21566-21624 |
Sentence |
denotes |
Methods to Generate Single-Cell and Bulk RNA-seq Libraries |
T678 |
21626-21637 |
Sentence |
denotes |
Seq-Well v1 |
T679 |
21638-21697 |
Sentence |
denotes |
Seq-Well was performed as described (Gierahn et al., 2017). |
T680 |
21698-21816 |
Sentence |
denotes |
Single cells were diluted to 15,000 cells in 200 μL RPMI + 10% FBS and deposited onto a pre-functionalized PDMS array. |
T681 |
21817-21923 |
Sentence |
denotes |
15,000 cells were deposited onto the top of each PDMS array and let settle by gravity into distinct wells. |
T682 |
21924-22019 |
Sentence |
denotes |
The array was gently washed with PBS, and sealed using a functionalized polycarbonate membrane. |
T683 |
22020-22235 |
Sentence |
denotes |
Seq-Well arrays were sealed in a dry 37°C oven for 40 min, and submerged in a lysis buffer containing guanidium thiocyanate (Sigma), EDTA, 1% beta-mercaptoethanol and sarkosyl (Sigma) for 20 min at room temperature. |
T684 |
22236-22726 |
Sentence |
denotes |
Arrays were transferred to hybridization buffer containing NaCl (Fisher Scientific) and agitated for 40 min at room temperature, mRNA capture beads with mRNA hybridized were collected from each Seq-Well array, and beads were resuspended in a master mix for reverse transcription containing Maxima H Minus Reverse Transcriptase and buffer, dNTPs, RNase inhibitor, a 5′ template switch oligonucleotide, and PEG for 30 min at room temperature, and overnight at 52°C with end-over-end rotation. |
T685 |
22727-22787 |
Sentence |
denotes |
Exonuclease digestion and PCR were carried out as described. |
T686 |
22788-22922 |
Sentence |
denotes |
Post-whole transcriptome amplification workup involved AMPure XP SPRI bead cleanup occurred at a 0.6 x volume ratio, followed by 0.8x. |
T687 |
22923-23086 |
Sentence |
denotes |
Library size was analyzed using an Agilent Tapestation hsD5000 kit, confirming the expected peak at ∼1000 bp, and absence of smaller peaks corresponding to primer. |
T688 |
23087-23295 |
Sentence |
denotes |
Libraries were quantified using Qubit High-Sensitivity DNA kit and prepared for Illumina sequencing using Nextera XT DNA Sample Preparation kit using 900 pg of cDNA library as input to tagmentation reactions. |
T689 |
23296-23424 |
Sentence |
denotes |
Amplified final libraries were purified twice with AMPure XP SPRI beads as before, with a volume ratio of 0.6x followed by 0.8x. |
T690 |
23425-23618 |
Sentence |
denotes |
Libraries from 2-3 Seq-Well arrays were pooled and sequenced together using a NextSeq 500/550 High Output v2 kit (75 cycles) using a paired end read structure with custom read 1 primer: read 1: |
T691 |
23619-23636 |
Sentence |
denotes |
20 bases, read 2: |
T692 |
23637-23660 |
Sentence |
denotes |
50 bases, read 1 index: |
T693 |
23661-23669 |
Sentence |
denotes |
8 bases. |
T694 |
23671-23682 |
Sentence |
denotes |
Seq-Well S3 |
T695 |
23683-23770 |
Sentence |
denotes |
Seq-Well S3 modified the following protocol steps from v1, above (Hughes et al., 2019). |
T696 |
23771-23861 |
Sentence |
denotes |
First, hybridization buffer was supplanted with 8% (v/v) polyethylene glycol (PEG, Sigma). |
T697 |
23862-23986 |
Sentence |
denotes |
Second, after exonuclease digestion, bead-associated cDNA was denatured for 5 min in 0.2 mM NaOH with end over end rotation. |
T698 |
23987-24239 |
Sentence |
denotes |
Next, beads were washed with TE + 0.01% tween-20, and second strand synthesis was carried out by resuspending beads in a master mix containing Klenow Fragment (NEB), dNTPs, PEG, and the dN-SMRT oligonucleotide to enable random priming off of the beads. |
T699 |
24241-24250 |
Sentence |
denotes |
10X v2 3′ |
T700 |
24251-24388 |
Sentence |
denotes |
Single cells were loaded onto 3′ library chips as per the manufacturers protocol for Chromium Single Cell 3′ Library (v2) (10X Genomics). |
T701 |
24389-24653 |
Sentence |
denotes |
Each biopsy was sequenced on two channels of the 10X Chromium Single Cell Platform, one for the epithelial fraction and the other for the lamina propria fraction in order to recover sufficient numbers of epithelial and lamina propria cells for downstream analyses. |
T702 |
24654-24761 |
Sentence |
denotes |
An input of 6,000 single cells was added to each channel with a recovery rate of approximately 2,000 cells. |
T703 |
24763-24771 |
Sentence |
denotes |
Drop-seq |
T704 |
24772-24866 |
Sentence |
denotes |
Drop-seq experiments were performed according to the original protocol (Macosko et al., 2015). |
T705 |
24867-24993 |
Sentence |
denotes |
Briefly, single cells (100/μl) were co-encapsulated in droplets with barcoded beads (120/μl, ChemGenes) at rates of 4000 μl/h. |
T706 |
24994-25108 |
Sentence |
denotes |
Droplet emulsions were collected for 10-20 min/each prior to droplet breakage by perfluorooctanol (Sigma-Aldrich). |
T707 |
25109-25229 |
Sentence |
denotes |
After breakage, beads were harvested and the hybridized mRNA transcripts reverse transcribed (Maxima RT, Thermo Fisher). |
T708 |
25230-25306 |
Sentence |
denotes |
Exonuclease digestion and PCR were carried out as described (12 PCR cycles). |
T709 |
25307-25473 |
Sentence |
denotes |
For each sample, 1 ng of pre-amplified cDNA from an estimated 1000 cells was tagmented by Nextera XT (Illumina) with a custom P5-primer (Integrated DNA Technologies). |
T710 |
25474-25564 |
Sentence |
denotes |
Single-cell libraries were sequenced in a 100 bp paired-end run on the Illumina HiSeq4000. |
T711 |
25566-25593 |
Sentence |
denotes |
Smart-Seq2 for Bulk RNA-Seq |
T712 |
25594-25696 |
Sentence |
denotes |
Population RNA-seq was performed as described (Ordovas-Montanes et al., 2018, Trombetta et al., 2014). |
T713 |
25697-25993 |
Sentence |
denotes |
Briefly, RNA from population lysates was purified using AMPure RNA Clean Spri beads (Beckman Coulter) at a 2.2x volume ratio, and mixed with oligo-dT primer, dNTPs (NEB), and RNase inhibitor (Fisher Scientific) at 72°C for 3 min on a thermal cycler to anneal the 3′ primer to polyadenylated mRNA. |
T714 |
25994-26326 |
Sentence |
denotes |
Reverse transcription was carried out in a master mix of Maxima RNaseH-minus RT enzyme and buffer (Fisher Scientific), MgCl2 (Sigma), Betaine (Sigma), RNase inhibitor, and a 5′ template switch oligonucleotide, and PCR was carried out using KAPA HiFi HotStart ReadyMix (Kapa Biosystems) and IS PCR primer and amplified for 18 cycles. |
T715 |
26327-26421 |
Sentence |
denotes |
Libraries were purified using AMPure XP SPRI beads at a volume ratio of 0.8x followed by 0.9x. |
T716 |
26422-26566 |
Sentence |
denotes |
Library size was assessed using a High-Sensitivity DNA chip (Agilent Bioanalyzer), confirming the expected size distribution of ∼1,000-2,000 bp. |
T717 |
26567-26767 |
Sentence |
denotes |
Tagmentation reactions were carried out with the Nextera XT DNA Sample Preparation Kit (Illumina) using 250 pg of cDNA per single cell as input, with modified manufacturer’s instructions as described. |
T718 |
26768-26982 |
Sentence |
denotes |
Libraries were purified twice with AMPure XP SPRI beads at a volume ratio of 0.9x, size distribution assessed using a High Sensitivity DNA chip (Agilent Bioanalyzer) and Qubit High-Sensitivity DNA kit (Invitrogen). |
T719 |
26983-27141 |
Sentence |
denotes |
Libraries were pooled and sequenced using NextSeq500/550 High Output v2 kits (75 cycles, Illumina) using 30-30 paired end sequencing with 8-mer dual indexing. |
T720 |
27143-27190 |
Sentence |
denotes |
Human and Mouse Basal Cell Cytokine Stimulation |
T721 |
27191-27225 |
Sentence |
denotes |
Data represented in Figures 5A–5L: |
T722 |
27226-27334 |
Sentence |
denotes |
Cytokines were added for 12 h overnight at increasing doses (0, 0.1, 0.5, 1, 2, 5, 10 ng/mL) of IL-4 (human: |
T723 |
27335-27368 |
Sentence |
denotes |
Biolegend 574002), IL-17A (human: |
T724 |
27369-27400 |
Sentence |
denotes |
Biolegend 570502), IFNγ (human: |
T725 |
27401-27425 |
Sentence |
denotes |
Biolegend 570202; mouse: |
T726 |
27426-27457 |
Sentence |
denotes |
Peprotech 315-05), IFNα (human: |
T727 |
27458-27482 |
Sentence |
denotes |
Biolegend 592702; mouse: |
T728 |
27483-27543 |
Sentence |
denotes |
Biolegend 752802), or IFNβ (mouse: R&D Systems 8234-MB-010). |
T729 |
27544-27594 |
Sentence |
denotes |
Each condition was run as a biological triplicate. |
T730 |
27595-27935 |
Sentence |
denotes |
Data represented in Figure S3C-K: cytokines were added for 12 h overnight at increasing doses (0, 0.1, 0.5, 1, 5, 10 ng/mL) of human IL-4 (Biolegend 574004), IL-13 (Biolegend 571104), IFNα (Biolegend 592704), IFNγ (Biolegend 570204), IL-17A (Biolegend 570504), or IL-1β (Biolegend 579404) (each condition run as a biological quadruplicate). |
T731 |
27936-28059 |
Sentence |
denotes |
All populations were lysed in 50 μL lysis buffer (RLT + 1% BME, QIAGEN and Sigma, respectively) and snap frozen on dry ice. |
T732 |
28060-28164 |
Sentence |
denotes |
Bulk RNA-seq was performed as described previously and summarized above (Ordovas-Montanes et al., 2018). |
T733 |
28165-28368 |
Sentence |
denotes |
Populations were sequenced to an average ± SEM read depth of 3.95 ± 0.11 million reads per sample, with an average ± SEM alignment percentage to either hg19 or mm10 reference transcriptomes of 71 ± 0.3%. |
T734 |
28369-28451 |
Sentence |
denotes |
All samples met quality thresholds regarding genomic and transcriptomic alignment. |
T735 |
28453-28480 |
Sentence |
denotes |
Western blot for human ACE2 |
T736 |
28481-28624 |
Sentence |
denotes |
Established air-liquid interface cultures from bronchial brushings of four asthmatic patients were treated with 10ng/μL of human IFNγ for 24 h. |
T737 |
28625-28756 |
Sentence |
denotes |
Protein lysates were prepared, and anti-ACE2 human antibody (AF933 R&D goat polyclonal) was used to probe for ACE2 by western blot. |
T738 |
28757-28869 |
Sentence |
denotes |
Bands were normalized to GAPDH as loading control, and fold change was computed based on normalized ACE2 values. |
T739 |
28871-28910 |
Sentence |
denotes |
Quantification and Statistical Analysis |
T740 |
28912-28944 |
Sentence |
denotes |
Non-Human Primate Lung and Ileum |
T741 |
28945-29060 |
Sentence |
denotes |
Libraries corresponding to 7 animals (variable number of tissues per animal) were sequenced using Illumina NextSeq. |
T742 |
29061-29256 |
Sentence |
denotes |
Reads were aligned to the M. mulatta genome assembly 8.0.1 annotation version 102 and processed according to the Drop-Seq Computational Protocol v2.0 (https://github.com/broadinstitute/Drop-seq). |
T743 |
29257-29430 |
Sentence |
denotes |
Data was normalized and scaled using the Seurat R package v2.3.4 (https://satijalab.org/seurat/): transforming the data to loge(UMI+1) and applying a scale factor of 10,000. |
T744 |
29431-29663 |
Sentence |
denotes |
To identify major axes of variation within our data, we first examined only highly variable genes across all cells, yielding approximately 1,000-3,000 variable genes with average expression > 0.1 log-normalized UMI across all cells. |
T745 |
29664-29776 |
Sentence |
denotes |
An approximate principal component analysis was applied to the cells to generate 100 principal components (PCs). |
T746 |
29777-29925 |
Sentence |
denotes |
Using the JackStraw function within Seurat, we identified significant PCs to be used for subsequent clustering and further dimensionality reduction. |
T747 |
29926-30161 |
Sentence |
denotes |
For 2D visualization and cell type clustering, we used a Uniform Manifold Approximation and Projection (UMAP) dimensionality reduction technique (https://github.com/lmcinnes/umap) with “min_dist” set to 0.5 and “n_neighbors” set to 30. |
T748 |
30162-30402 |
Sentence |
denotes |
To identify clusters of transcriptionally similar cells, we employed unsupervised clustering as described above using the FindClusters tool within the Seurat R package with default parameters and k.param set to 10 and resolution set to 0.5. |
T749 |
30403-30688 |
Sentence |
denotes |
Each cluster was sub-clustered to identify more granular cell types, requiring each cell type to express > 25 significantly upregulated genes by differential expression test (FindMarkers implemented in Seurat, setting “test.use” to “bimod,” Bonferroni-adjusted p value cutoff < 0.001). |
T750 |
30689-30869 |
Sentence |
denotes |
Differential expression tests between cells from ACE2 + versus ACE2 - Type II Pneumocytes were conducted using the SCDE R package with default parameters (Kharchenko et al., 2014). |
T751 |
30870-31093 |
Sentence |
denotes |
Expression data for epithelial cells and enterocytes included in this dataset can be visualized and downloaded here: https://singlecell.broadinstitute.org/single_cell/study/SCP807?scpbr=the-alexandria-project#study-summary. |
T752 |
31095-31112 |
Sentence |
denotes |
Human Lung Tissue |
T753 |
31113-31187 |
Sentence |
denotes |
Libraries corresponding to 8 donors were sequenced using Illumina NextSeq. |
T754 |
31188-31348 |
Sentence |
denotes |
Reads were aligned to the hg19 genome assembly and processed according to the Drop-Seq Computational Protocol v2.0 (https://github.com/broadinstitute/Drop-seq). |
T755 |
31349-31522 |
Sentence |
denotes |
Data was normalized and scaled using the Seurat R package v3.1.0 (https://satijalab.org/seurat/), transforming the data to loge(UMI+1) and applying a scale factor of 10,000. |
T756 |
31523-31659 |
Sentence |
denotes |
For each array, we assessed the quality of constructed libraries by examining the distribution of reads, genes and transcripts per cell. |
T757 |
31660-31789 |
Sentence |
denotes |
Variable gene selection, principal components analysis, and selection of significant principal components was performed as above. |
T758 |
31790-31971 |
Sentence |
denotes |
We visualized our results in a two-dimensional space using UMAP (https://github.com/lmcinnes/umap), and annotated each cluster based on the identification of highly expressed genes. |
T759 |
31972-32133 |
Sentence |
denotes |
To further characterize substructure within cell types (for example, T cells), we performed dimensionality reduction (PCA) and clustering over those cells alone. |
T760 |
32134-32429 |
Sentence |
denotes |
Sub-clusters (i.e., clusters within broad cell type classifications) were annotated by cross-referencing cluster-defining genes with curated gene lists and online databases SaVanT (http://newpathways.mcdb.ucla.edu/savant-dev/) and GSEA/MsigDB (https://www.gsea-msigdb.org/gsea/msigdb/index.jsp). |
T761 |
32430-32706 |
Sentence |
denotes |
Proliferating cells from the human lung (Figure 2C) express high levels of mitotic markers, such as MKI67, and represent primarily T cells (CD3D, CD3E), B cells/antibody-secreting cells (IGJ, MZB1, IGHG1), and myeloid cells (CD14, APOE) and represent a composite cell cluster. |
T762 |
32707-32915 |
Sentence |
denotes |
Differential expression analysis between ACE2+ TMPRSS2+ and negative type II pneumocytes was performed in Seurat using a likelihood-ratio test (FindMarkers implemented in Seurat, setting “test.use” to bimod). |
T763 |
32916-33123 |
Sentence |
denotes |
Expression data for epithelial cells included in this dataset can be visualized and downloaded here: https://singlecell.broadinstitute.org/single_cell/study/SCP814?scpbr=the-alexandria-project#study-summary. |
T764 |
33125-33136 |
Sentence |
denotes |
Human Ileum |
T765 |
33137-33310 |
Sentence |
denotes |
Libraries corresponding to 13 donors were sequenced using Illumina NovaSeq S2 with a Read 1 26bp, Read 2 91bp, Index 1 8bp configuration before reads were aligned to GRCh38. |
T766 |
33311-33557 |
Sentence |
denotes |
Each sample was filtered individually for low quality cells and genes by analyzing distributions of reads, transcripts, percent reads mapped to mitochondrial genes, and complexity per cell, then merged as an outer join to create a single dataset. |
T767 |
33558-33670 |
Sentence |
denotes |
Clustering and differential expression tests were processed using Seurat v3.1.0 (https://satijalab.org/seurat/). |
T768 |
33671-33788 |
Sentence |
denotes |
Normalization and variable gene selection was processed with SCTransform (https://github.com/ChristophH/sctransform). |
T769 |
33789-33979 |
Sentence |
denotes |
Clustering for major cell types was performed using Louvain clustering on dimensionally reduced PCA space with resolution set via grid search optimizing for maximum average silhouette score. |
T770 |
33980-34105 |
Sentence |
denotes |
Due to the scale of the dataset, a randomized subsampling from across the dataset was used to calculate the silhouette score. |
T771 |
34106-34419 |
Sentence |
denotes |
We annotated clusters based on highly expressed genes, then sub-clusters were characterized by performing PCA dimensionality reduction and clustering over those cells alone, and annotated based on highly expressed genes found via one-versus-rest differential expression test (Wilcoxon) within the major cell type. |
T772 |
34420-34588 |
Sentence |
denotes |
Differential expression analysis between ACE2 + TMPRSS2 + and negative epithelial cells was performed in Seurat using a Wilcoxon test and Bonferroni p value correction. |
T773 |
34589-34796 |
Sentence |
denotes |
Expression data for epithelial cells included in this dataset can be visualized and downloaded here: https://singlecell.broadinstitute.org/single_cell/study/SCP812?scpbr=the-alexandria-project#study-summary. |
T774 |
34798-34822 |
Sentence |
denotes |
Human Adult Nasal Mucosa |
T775 |
34823-34919 |
Sentence |
denotes |
Sample processing, sequencing, and analysis was performed as in (Ordovas-Montanes et al., 2018). |
T776 |
34920-35113 |
Sentence |
denotes |
Briefly, scRNA-seq cell suspensions were freshly processed using Seq-Well v1 and Seurat v2.3.4 was utilized for computational analyses presented here (Butler et al., 2018, Satija et al., 2015). |
T777 |
35114-35306 |
Sentence |
denotes |
Cell by gene matrix and R code for initialization of object available to download as Supplemental Data and Supplementary Tables here https://www.nature.com/articles/s41586-018-0449-8 and here: |
T778 |
35307-35496 |
Sentence |
denotes |
http://shaleklab.com/resource/mapping-allergic-inflammation/? and visualized here: https://singlecell.broadinstitute.org/single_cell/study/SCP253?scpbr=the-alexandria-project#study-summary. |
T779 |
35497-35760 |
Sentence |
denotes |
Scores for various cytokines acting on human airway epithelial cells were calculated based on gene lists derived for (Ordovas-Montanes et al., 2018), calculated using AddModuleScore function Seurat, and effect size calculated by Cohen’s d, as previously reported. |
T780 |
35762-35828 |
Sentence |
denotes |
Granulomatous Tissue from Mycobacterium Tuberculosis Infected NHPs |
T781 |
35829-35944 |
Sentence |
denotes |
Libraries corresponding to 10 animals (variable number of tissues/animal) were sequenced using Illumina NovaSeq S2. |
T782 |
35945-36091 |
Sentence |
denotes |
Data was aligned using the Dropseq-tools pipeline on Terra (app.terra.bio) to M. fascicularis reference genome assembly 5, annotation version 101. |
T783 |
36092-36207 |
Sentence |
denotes |
Clustering was performed using Leiden clustering in the Scanpy (scanpy.readthedocs.io) package (Wolf et al., 2018). |
T784 |
36208-36264 |
Sentence |
denotes |
Cell type labels were assigned using known marker genes. |
T785 |
36265-36411 |
Sentence |
denotes |
In this analysis, we include all epithelial cell subsets (secretory, multiciliated, type II pneumocytes, and type I pneumocytes) from all samples. |
T786 |
36412-36675 |
Sentence |
denotes |
Differential expression between ACE2 + TMPRSS2 + cells and other cells of the matched cell subtype (e.g., Secretory Cells) were performed using the “bimod” likelihood-ratio test within each cell subtype and filtered on Benjamini-Hochberg-corrected p value < 0.05. |
T787 |
36676-36776 |
Sentence |
denotes |
Expression data for epithelial cells included in this dataset can be visualized and downloaded here: |
T788 |
36777-36883 |
Sentence |
denotes |
https://singlecell.broadinstitute.org/single_cell/study/SCP806?scpbr=the-alexandria-project#study-summary. |
T789 |
36885-36916 |
Sentence |
denotes |
Basal Cell Cytokine Stimulation |
T790 |
36917-36998 |
Sentence |
denotes |
Libraries corresponding to 279 populations were sequenced using Illumina NextSeq. |
T791 |
36999-37179 |
Sentence |
denotes |
Reads were aligned to the hg19 or mm10 genome assembly using the cumulus platform https://cumulus-doc.readthedocs.io/en/0.12.0/smart_seq_2.html and output as TPM using RSEM v1.3.2. |
T792 |
37180-37268 |
Sentence |
denotes |
Populations were transformed to transcripts per 10K reads and log2(1+TP10K) transformed. |
T793 |
37269-37405 |
Sentence |
denotes |
ACE2 expression by stimulation condition and dose were assessed using one-way ANOVA with post hoc testing using a Bonferroni correction. |
T794 |
37406-37670 |
Sentence |
denotes |
Plots were generated using ggplot2, and transcriptome-wide differential expression was calculated using the Seurat R package v3.1.0 (https://satijalab.org/seurat), function FindMarkers with test.use = ”bimod.” Expression data can be visualized and downloaded here: |
T795 |
37671-37763 |
Sentence |
denotes |
https://singlecell.broadinstitute.org/single_cell/study/SCP822?scpbr=the-alexandria-project. |
T796 |
37765-37807 |
Sentence |
denotes |
Interferon Treatment of Mouse Nasal Mucosa |
T797 |
37808-37971 |
Sentence |
denotes |
Libraries corresponding to 4 mice, with 2 Seq-Well arrays per mouse were sequenced using Illumina NextSeq as described (Gierahn et al., 2017, Hughes et al., 2019). |
T798 |
37972-38123 |
Sentence |
denotes |
Reads were aligned to the mm10 genome and processed according to the Drop-Seq Computational Protocol v2.0 (https://github.com/broadinstitute/Drop-seq). |
T799 |
38124-38297 |
Sentence |
denotes |
Data was normalized and scaled using the Seurat R package v2.3.4 (https://satijalab.org/seurat/): transforming the data to loge(UMI+1) and applying a scale factor of 10,000. |
T800 |
38298-38364 |
Sentence |
denotes |
Cells with fewer than 1000 UMIs and 500 unique genes were removed. |
T801 |
38365-38525 |
Sentence |
denotes |
To identify major axes of variation within our data, we first examined only highly variable genes across all cells, yielding approximately 5,000 variable genes. |
T802 |
38526-38638 |
Sentence |
denotes |
An approximate principal component analysis was applied to the cells to generate 200 principal components (PCs). |
T803 |
38639-38824 |
Sentence |
denotes |
Using a combination of the Jackstraw function in Seurat and observing the “elbow” of the standard deviations of PCs, we chose the top 70 PCs for subsequent clustering and visualization. |
T804 |
38825-39035 |
Sentence |
denotes |
For 2D visualization, we used a Uniform Manifold Approximation and Projection (UMAP) dimensionality reduction technique (https://github.com/lmcinnes/umap) with “min_dist” set to 0.3 and “n_neighbors” set to 50. |
T805 |
39036-39250 |
Sentence |
denotes |
To identify clusters of transcriptionally similar cells, we employed unsupervised clustering as described above using the FindClusters tool within the Seurat R package with default parameters and k.param set to 10. |
T806 |
39251-39344 |
Sentence |
denotes |
Resolution was chosen based on maximization of the average silhouette width across all cells. |
T807 |
39345-39583 |
Sentence |
denotes |
Clusters were merged if a cell type expressed fewer than 25 significantly upregulated genes by differential expression test (FindAllMarkers implemented in Seurat, setting “test.use” to “bimod,” Bonferroni-adjusted p value cutoff < 0.001). |
T808 |
39584-39744 |
Sentence |
denotes |
Differential expression tests between cells from saline-treated or IFNa-treated mice were assessed using the FindMarkers function with “test.use” set to “bimod. |
T809 |
39745-39796 |
Sentence |
denotes |
This dataset can be visualized and downloaded here: |
T810 |
39797-39903 |
Sentence |
denotes |
https://singlecell.broadinstitute.org/single_cell/study/SCP832?scpbr=the-alexandria-project#study-summary. |
T811 |
39905-39950 |
Sentence |
denotes |
Lung from MHV68-Infected WT and IFNγR KO Mice |
T812 |
39951-40083 |
Sentence |
denotes |
Libraries corresponding to 14 mice were aligned to a custom reference genome encompassing both murine (mm10) and herpes virus genes: |
T813 |
40084-40188 |
Sentence |
denotes |
84 known genes from MHV68 were retrieved from NCBI (NCBI: txid33708) and added to the mm10 mouse genome. |
T814 |
40189-40348 |
Sentence |
denotes |
Reads were aligned to the custom joint genome and processed according to the Drop-Seq Computational Protocol v2.0 (https://github.com/broadinstitute/Drop-seq). |
T815 |
40349-40493 |
Sentence |
denotes |
Barcodes with < 200 unique genes, > 20,000 UMI counts, and > 30% of transcript counts derived from mitochondrially encoded genes were discarded. |
T816 |
40494-40751 |
Sentence |
denotes |
Data analysis was performed using the Scanpy Package following the common procedure, the expression matrices were normalized using scran’s size factor based approach and log transformed via scanpy’s pp.log1p() function (Lun et al., 2016, Wolf et al., 2018). |
T817 |
40752-40937 |
Sentence |
denotes |
SoupX was utilized to reduce ambient RNA bias, using default parameters with pCut set to 0.3, and was applied to each sample before merging the count matrices (Young and Behjati, 2020). |
T818 |
40938-40985 |
Sentence |
denotes |
UMI per cell and cell cycle were regressed out. |
T819 |
40986-41224 |
Sentence |
denotes |
Highly variable genes were selected by running pp.highly_variable_genes() for each sample separately, returning the top 4,000 variable genes per sample, and genes identified in variable in > 5 samples were retained, yielding 14,305 genes. |
T820 |
41225-41412 |
Sentence |
denotes |
Next, only Epcam+ cells were considered, principal components (PCs) were calculated using only the selected variable genes, and 6 PCs were used to perform unsupervised Louvain clustering. |
T821 |
41413-41564 |
Sentence |
denotes |
Type I Pneumocytes were excluded from this analysis based on uniformly negative expression of Ace2, resulting in a final dataset subset of 5,558 cells. |
T822 |
41565-41639 |
Sentence |
denotes |
Cells were identified as infected if at least one viral read was detected. |
T823 |
41641-41680 |
Sentence |
denotes |
Nasal Washes during Influenza Infection |
T824 |
41681-41764 |
Sentence |
denotes |
Sample processing, sequencing, and analysis was performed as in (Cao et al., 2020). |
T825 |
41765-41847 |
Sentence |
denotes |
Reads were aligned to the GRCh37 reference genome combined with influenza genomes. |
T826 |
41848-42033 |
Sentence |
denotes |
Mapped reads from each sample were then corrected for Drop-seq barcode synthesis error using the Drop-seq core computational tools developed by the McCarroll Lab (Macosko et al., 2015). |
T827 |
42034-42195 |
Sentence |
denotes |
Genes were quantified using End Sequence Analysis Toolkit (ESAT, github/garber-lab/ESAT) with parameters -wlen 100 -wOlap 50 -wExt 0 -scPrep (Derr et al., 2016). |
T828 |
42196-42393 |
Sentence |
denotes |
Finally, UMIs that likely result from sequencing errors were corrected by merging any UMIs that were observed only once and have 1 hamming distance from a UMI detected by two or more aligned reads. |
T829 |
42394-42453 |
Sentence |
denotes |
Only cell barcodes with more than 1,000 UMIs were analyzed. |
T830 |
42454-42522 |
Sentence |
denotes |
Cell barcodes with mostly erythrocyte genes (HBA, HBB) were removed. |
T831 |
42523-42609 |
Sentence |
denotes |
From here on, the remaining cell barcodes in the matrix would be referred to as cells. |
T832 |
42610-42704 |
Sentence |
denotes |
The final gene by cell matrix was normalized using the scran package v3.10 (Lun et al., 2016). |
T833 |
42705-42900 |
Sentence |
denotes |
The normalized matrix was used for dimensionality reduction by first selecting variable genes that had a high coefficient of variance (CV) and were expressed (> = 1 UMI) by more than three cells. |
T834 |
42901-43129 |
Sentence |
denotes |
Influenza viral genes, interferon stimulated genes, and cell cycle related genes were removed from the variable gene list in order to minimize the impact of viral responses and mitosis on clustering and cell type identification. |
T835 |
43130-43340 |
Sentence |
denotes |
This resulted in the selection of 2484 variable genes. t-distributed stochastic neighbor embedding (tSNE) was applied to the first ten principal components (PCs), which explained 95% of the total data variance. |
T836 |
43341-43529 |
Sentence |
denotes |
Density clustering (Rodriguez and Laio, 2014) was performed on the resulting tSNE coordinates and identified four major clusters: epithelial cells, neutrophils, macrophages and leukocytes. |
T837 |
43530-43690 |
Sentence |
denotes |
The epithelial cell cluster and the leukocyte cluster were then re-clustered independently, as described above, to identify populations within each metacluster. |
T838 |
43691-43885 |
Sentence |
denotes |
Specifically, the epithelial cell cluster was re-embedded using 2629 variable genes selected by the same criteria mentioned in the previous section and 13 PCs that explained 95% of the variance. |
T839 |
43886-43959 |
Sentence |
denotes |
Density clustering over the epithelial cell subset revealed ten clusters. |
T840 |
43960-44090 |
Sentence |
denotes |
Differential gene expression analysis using edgeR (Robinson et al., 2010) was performed to identify marker genes for each cluster. |
T841 |
44091-44400 |
Sentence |
denotes |
Influenza-infected and bystander cells were identified after correcting for sample-specific distribution of ambient influenza mRNA contamination and predicted cells most likely to be infected identified using a hurdle zero inflated negative binomial (ZINB) model and a support vector machine (SVM) classifier. |
T842 |
44402-44454 |
Sentence |
denotes |
Power Calculations for Detection of Rare Transcripts |
T843 |
44455-44712 |
Sentence |
denotes |
We conducted the following statistical analysis to estimate the effects of various factors on our ability to make confident claims regarding the presence/absence of transcripts of interest (e.g., ACE2), both within individual cells and clusters (Figure S6). |
T844 |
44713-44856 |
Sentence |
denotes |
Specifically, we investigated the roles of capture/reverse transcription efficiency, ACE2 expression level, sequencing depth, and cell numbers. |
T845 |
44857-45113 |
Sentence |
denotes |
Taken together, the results of this power analysis are in agreement with other efforts to model biological and technical sources of zero-inflation within scRNA-seq data (e.g., https://satijalab.org/howmanycells and Kharchenko et al., 2014, Svensson, 2020). |
T846 |
45114-45313 |
Sentence |
denotes |
We began by quantifying how likely we are to capture and transcribe at least one ACE2 mRNA molecule, as a function of the number ACE2 mRNA molecules per cell and a protocol’s efficiency (Figure S6A). |
T847 |
45314-45680 |
Sentence |
denotes |
Drop-Seq has a capture/transcription efficiency of ∼10% (as estimated using ERCC spike ins; see (Macosko et al., 2015), and the experimental platforms used in this study are either equivalent (e.g., Seq-Well v1, (Gierahn et al., 2017) or superior (e.g., 10-fold better unique molecule detection, 5-fold better gene detection using Seq-Well S3;(Hughes et al., 2019)). |
T848 |
45681-45808 |
Sentence |
denotes |
Most relevant to this context, inferior turbinate scrapings were processed using both Seq-Well v1 and Seq-Well S3 (Figure S3B). |
T849 |
45809-45928 |
Sentence |
denotes |
Importantly, Seq-Well S3 provided > two-fold increase in the detection frequency of rare ACE2 transcripts (i.e., ACE2+: |
T850 |
45929-46137 |
Sentence |
denotes |
4.7% for v1 versus 9.8% for S3), making it reasonable to expect that such improvements in single-cell experimental technologies have yielded corresponding improvements in capture and transcription efficiency. |
T851 |
46138-46647 |
Sentence |
denotes |
Based on Drop-Seq’s 10% efficiency, even if ACE2 is expressed at the low level of 5 mRNA molecules per cell (a reasonable order-of-magnitude estimate, given that non-human primate ileum cells had a maximum of 10 ACE2 unique molecules per cell observed via sequencing and an average of 1.93 molecules per cell in expressing cells, see Figures 3B and 3C), our experimental platforms have a minimum likelihood of 41% to capture and reverse transcribe at least one ACE2 mRNA molecule in any given individual cell. |
T852 |
46648-46889 |
Sentence |
denotes |
This likelihood rapidly increases if we estimate higher efficiencies for improved scRNA-seq technologies (e.g., 67% likelihood within any individual cell at 20% capture/transcription efficiency, 76% likelihood at 25% efficiency, Figure S6A). |
T853 |
46890-47197 |
Sentence |
denotes |
Thus, while transcript drop-out may reduce the fraction of positive cells, with the capture and transcription efficiencies of improved single-cell technologies, the impact is likely to be minor (reads are likely underestimated by up to a factor of ∼2.5x), given a sufficient depth of sequencing (see below). |
T854 |
47198-47385 |
Sentence |
denotes |
We note that this impacts both clusters deemed to contain and not contain ACE2+ cells, and suggests our percentages are likely lower bounds for true expression (within a factor of ∼2.5x). |
T855 |
47386-47565 |
Sentence |
denotes |
Next, we examined the probability of sequencing an ACE2 transcript as a function of read depth and ACE2’s fractional abundance in each single cell within our sequencing libraries. |
T856 |
47566-48106 |
Sentence |
denotes |
First, across two different tissues (non-human primate ileum and lung, representing a high expresser of ACE2 and low expresser, respectively), we calculated the proportion of unique ACE2 molecules in our ACE2+ cells (defined as any cell with at least 1 UMI aligning to ACE2) as a fraction of total reads within individual cells to provide an order-of-magnitude estimate for average ACE2 abundance in our single-cell sequencing libraries (i.e., the probability that a read within a cell corresponds to a unique molecule of ACE2, Figure S6B). |
T857 |
48107-48448 |
Sentence |
denotes |
We highlight that by calculating probabilities based on ACE2 unique molecules divided by an individual cell’s total reads, we are providing a conservative estimate for the probability of observing ACE2 as a function of sequencing depth (e.g., as compared to basing these probabilities on ACE2 non-UMI-collapsed reads divided by total reads). |
T858 |
48449-48591 |
Sentence |
denotes |
Next, we obtained information on the number of reads in these cell populations to provide estimates of average sequencing depths (Figure S6C). |
T859 |
48592-48876 |
Sentence |
denotes |
Using the mean fractional abundances of ACE2 from each tissue (Figure S6B) and the mean read depths for all genes (Figure S6C), we calculated the probability of detecting at least 1 ACE2 molecule (i.e., P(detecting > 0 ACE2 molecules) = 1 - (1 - ACE2 fractional abundance)Read depth). |
T860 |
48877-49109 |
Sentence |
denotes |
This results in a 93.7% probability in ileum-derived cell libraries that contain ACE2, and a 76.0% probability for lung-derived cell libraries, indicating that our sequencing depths are sufficient to detect ACE2+ cells (Figure S6D). |
T861 |
49110-49339 |
Sentence |
denotes |
To further evaluate whether our ability to detect ACE2+ cells was an artifact of sequencing depth, we compared the number of ACE2+ cells in a cluster to the mean number of reads across all cells in that same cluster (Figure S6E). |
T862 |
49340-49673 |
Sentence |
denotes |
We did not observe any significant correlation: the ileum cell cluster with the highest number of ACE2+ cells had the lowest sequencing depth of all ileum clusters, and the lung cell cluster with the highest number of ACE2+ cells was approximately average in its read depth (on a log-log scale, Pearson’s r = −0.31, non-significant). |
T863 |
49674-50205 |
Sentence |
denotes |
Further, when comparing ACE2+ cells to ACE2- cells within a given tissue, we did not observe a positive correlation between read depth and ACE2 status (i.e., mean ± standard error of the mean, SEM, reads among all lung cells = 28,512 ± 344; mean ± SEM reads among ACE2+ lung cells = 28,553 ± 2,988; mean ± SEM reads among all ileum cells = 14,864 ± 288; mean ± SEM reads among ACE2+ ileum cells = 10,591 ± 441, full statistics on cell depth among ACE2+ cells compared to ACE2- cells of the same cell type can be found in Table S9). |
T864 |
50206-50349 |
Sentence |
denotes |
Thus, we can be confident that the observed differences in ACE2+ proportions across clusters are not driven by differences in sequencing depth. |
T865 |
50350-50472 |
Sentence |
denotes |
Finally, we investigated how observed differences in ACE2+ proportions across clusters might be affected by cell sampling. |
T866 |
50473-50895 |
Sentence |
denotes |
Using the proportion of ACE2+ cells in a “typical” cluster annotated as being ACE2 positive (i.e., 6.8% in non-human primate type II pneumocytes, Figure 1), we calculated the cluster sizes needed to be confident that the probability of observing zero to a few positive cells is unlikely to have arisen by random chance (probabilities calculated under a negative binomial distribution with parameter p = 0.068, Figure S6E). |
T867 |
50896-51081 |
Sentence |
denotes |
We found that as cluster sizes approach and exceed 100 cells, the probability of observing zero to a few positive cells rapidly approaches zero, if we assume 6.8% of cells are positive. |
T868 |
51082-51699 |
Sentence |
denotes |
Further, to examine our confidence in estimating an approximate upper bound (ignoring the impact of protocol inefficiencies discussed above) for the fraction of cells positive in a cluster as a function of the number of cells in that cluster, we also calculated the probability of observing zero (and its complement, probability of observing at least 1) ACE2+ cells as a function of cluster size across true positive proportions ranging from 0.1% to 10% (probabilities calculated under a negative binomial distribution with parameter p = 0.001 to 0.1, representing hypothetical proportions of ACE2+ cells Figure S6F). |
T869 |
51700-51940 |
Sentence |
denotes |
Given our typical cluster sizes (on the order of hundreds of cells, exact values provided in Table S9), we find that for us to observe 0 ACE2+ cells in a cluster due to sampling artifacts, the fraction of true positives must be ∼1% or less. |
T870 |
51941-52137 |
Sentence |
denotes |
Thus, these complementary approaches demonstrate that our observed variations in ACE2+ cell proportions across clusters likely reflect underlying biological differences, rather than random chance. |
T871 |
52139-52158 |
Sentence |
denotes |
Statistical Testing |
T872 |
52159-52380 |
Sentence |
denotes |
Parameters such as sample size, number of replicates, number of independent experiments, measures of center, dispersion, and precision (mean ± SEM) and statistical significances are reported in Figures and Figure Legends. |
T873 |
52381-52433 |
Sentence |
denotes |
A p value less than 0.05 was considered significant. |
T874 |
52434-52598 |
Sentence |
denotes |
Where appropriate, a Bonferroni or FDR correction was used to account for multiple tests, alternative correction methods are noted in the figure legends or Methods. |
T875 |
52599-52744 |
Sentence |
denotes |
All statistical tests corresponding to differential gene expression are described above and completed using R language for Statistical Computing. |