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Series GSE183356 Query DataSets for GSE183356
Status Public on Sep 03, 2021
Title Molecular Profiling of COVID-19 Autopsies Uncovers Novel Disease Mechanisms [Digital Spatial Profiling data]
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Our work illustrates how high-resolution molecular and spatial profiling of COVID-19 patient tissues collected during rapid autopsies can serve as a hypothesisgenerating tool to identify key mediators driving the pathophysiology of COVID-19 for diagnostic and therapeutic target testing. Here we employ bulk RNA sequencing to identify key regulators of COVID-19 and list specific mediators for further study as potential diagnostic and therapeutic targets. We use single-nuclei RNA sequencing to highlight the diversity and heterogeneity of coronavirus receptors within the brain, suggesting that it will be critical to expand the focus from ACE2 to include other receptors, such as BSG and ANPEP, and we perform digital spatial profiling of lung and lymph node tissue to compare two patients with different clinical courses and symptomatology.
 
Overall design Total 120 regions of interest from 10 scans (five per patient).

*** FASTQ raw data files have been requested. ***
 
Contributor(s) Cordon-Cardo C, Sebra R
Citation(s) 34506752
Submission date Sep 03, 2021
Last update date Apr 27, 2024
Contact name Robert Sebra
Organization name Icahn School of Medicine at Mount Sinai
Department Genetics and Genomic Sciences
Street address One Gustave L. Levy Place
City New York
State/province NY
ZIP/Postal code 10029
Country USA
 
Platforms (1)
GPL30587 Nanostring GeoMx Digital Spatial Profiling (DSP) Platform
Samples (120)
GSM5556118 Patient 2 Spleen Scan 26688 A11 ROI 001
GSM5556119 Patient 2 Spleen Scan 26688 A11 ROI 002
GSM5556120 Patient 2 Spleen Scan 26688 A11 ROI 003
This SubSeries is part of SuperSeries:
GSE182299 Molecular Profiling of COVID-19 Autopsies Uncovers Novel Disease Mechanisms
Relations
BioProject PRJNA760348

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
GSE183356_RAW.tar 4.6 Mb (http)(custom) TAR (of DCC)
Processed data included within Sample table

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