NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE162911 Query DataSets for GSE162911
Status Public on Apr 11, 2021
Title A single-cell and spatial atlas of autopsy tissues reveals pathology and cellular targets of SARS-CoV-2 [gene expression levels]
Organisms Homo sapiens; blank sample
Experiment type Expression profiling by high throughput sequencing
Other
Summary The SARS-CoV-2 pandemic has caused over 1 million deaths globally, mostly due to acute lung injury and acute respiratory distress syndrome, or direct complications resulting in multiple-organ failures. Little is known about the host tissue immune and cellular responses associated with COVID-19 infection, symptoms, and lethality. To address this, we collected tissues from 11 organs during the clinical autopsy of 17 individuals who succumbed to COVID-19, resulting in a tissue bank of approximately 420 specimens. We generated comprehensive cellular maps capturing COVID-19 biology related to patients’ demise through single-cell and single-nucleus RNA-Seq of lung, kidney, liver and heart tissues, and further contextualized our findings through spatial RNA profiling of distinct lung regions. We developed a computational framework that incorporates removal of ambient RNA and automated cell type annotation to facilitate comparison with other healthy and diseased tissue atlases. In the lung, we uncovered significantly altered transcriptional programs within the epithelial, immune and stromal compartments and cell intrinsic changes in multiple cell types relative to lung tissue from healthy controls. We observed evidence of alveolar type 2 (AT2) differentiation replacing depleted alveolar type 1 (AT1) lung epithelial cells, as previously seen in fibrosis, and a concomitant increase in myofibroblasts reflective of defective tissue repair. Viral reads were enriched in lung mononuclear phagocytic cells and endothelial cells, and these cells expressed distinct viral RNA host response transcriptional programs. We corroborated the compositional and transcriptional changes in lung tissue through spatial analysis of RNA profiles in situ and distinguished unique tissue host responses between regions with and without viral RNA, and in COVID-19 donor tissues relative to healthy lung. Finally, we analyzed genetic regions implicated in COVID-19 GWAS with transcriptomic data to implicate specific cell types and genes associated with disease severity. Overall, our COVID-19 cell atlas is a foundational dataset to better understand the biological impact of SARS-CoV-2 infection across the human body and empowers the identification of new therapeutic interventions and prevention strategies.
 
Overall design This dataset contains gene expression levels from ROIs from 9 SARS-CoV-2 infected patient LUL FFPE samples collected during rapid autopsy, and 3 non-infected control parenchyma samples. In addition to this core sample set we report one trachea CTA slide, one heart left ventricle WTA slide, one LUL CTA repeat with different segmentation, one LLL slide and one RUL slide. Up to 26 ROIs were collected within each patient sample, segmented to AOIs according to the descriptions below. In total we report n = 375 AOIs for CTA and n = 409 AOIs for WTA. RNA Scope on serial sections was used to guide ROI selection. Additional sample properties, and mapping to protein data in this super series is reported in sheets of Nanostring_Count_Matrices.xlsx.
 
Contributor(s) Delorey TM, Ziegler CG, Heimberg G, Normand R, Yang Y, Segerstolpe A, Abbondanza D, Fleming SJ, Subramanian A, Jagadeesh KA, Dey K, Slyper M, Montoro DT, Pira-Juarez Y, Phillips D, Sen P, Bloom-Ackerman Z, Ganna A, Gomez J, Normandin E, Naderi P, Popov Y, Niezen S, Tsai L, Siddle KJ, Sud M, Tran VM, Vellarikkal SK, Amir-Zilbertstein L, Atri DS, Barkas N, Brook OR, Chen J, Divakar P, Dorceus P, Engreitz JM, Fitzgerald DM, Fropf R, Gazal S, Gould J, Grzyb J, Harvey T, Hecht J, Jane-Valbuena J, Leney-Greene M, Ma H, McCabe C, McLoughlin DE, Miller EM
Citation(s) 33915569
Submission date Dec 09, 2020
Last update date Jul 11, 2021
Contact name Samouil Farhi
Organization name Broad Institute of MIT and Harvard
Street address 415 Main St.
City Cambridge
State/province Massachusetts
ZIP/Postal code 02142
Country USA
 
Platforms (4)
GPL21697 NextSeq 550 (Homo sapiens)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
GPL29487 Illumina NovaSeq 6000 (blank sample)
Samples (784)
GSM4965186 DSP-1001660004759-A01 (Blank control)
GSM4965187 DSP-1001660004759-A02 (D22_Parenchyma_ROI1_PanCK+)
GSM4965188 DSP-1001660004759-A03 (D22_Parenchyma_ROI1_PanCK-)
This SubSeries is part of SuperSeries:
GSE163530 A single-cell and spatial atlas of autopsy tissues reveals pathology and cellular targets of SARS-CoV-2
Relations
BioProject PRJNA683801
SRA SRP297414

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE162911_GeoMx_COVID19_v1.0.pkc.gz 9.1 Kb (ftp)(http) PKC
GSE162911_GeoMx_WTA_COVID19_v1.0.pkc.gz 2.1 Mb (ftp)(http) PKC
GSE162911_Nanostring_Count_Matrices.xlsx 189.8 Mb (ftp)(http) XLSX
GSE162911_RAW.tar 35.3 Mb (http)(custom) TAR (of DCC)
GSE162911_VnV_GeoMx_Hs_CTA_v1.2.pkc.gz 684.2 Kb (ftp)(http) PKC
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file
Processed data are available on Series record
| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap