GSE148697: Identification of Lead Drug Candidates for COVID-19 based on Drug Screening Using Human Pluripotent Stem Cell-Derived Cells/Organoids

Gene Expression Data Explorer
Info Gene counts are sourced from ARCHS4, which provides uniform alignment of GEO samples. You can learn more about ARCHS4 and its pipeline here.
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GROUP CONDITION SAMPLES
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GSM4476801 GSM4476802 GSM4476803
GSM4476798 GSM4476799 GSM4476800
Description

Submission Date: Apr 15, 2020

Summary: We systematically probed which cell types are permissive to SARS-CoV-2 infection. Transcriptomic analysis following SARS-CoV-2 infection of hPSC-derived lung organoids revealed upregulation of chemokines but not type I/III interferon signaling, similar to what was seen in primary human COVID-19 pulmonary infection.

GEO Accession ID: GSE148697

PMID: 32511403

Description

Submission Date: Apr 15, 2020

Summary: We systematically probed which cell types are permissive to SARS-CoV-2 infection. Transcriptomic analysis following SARS-CoV-2 infection of hPSC-derived lung organoids revealed upregulation of chemokines but not type I/III interferon signaling, similar to what was seen in primary human COVID-19 pulmonary infection.

GEO Accession ID: GSE148697

PMID: 32511403

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Precomputed Differential Gene Expression

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Differential Gene Expression Analysis
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Bulk RNA-seq Appyter

This pipeline enables you to analyze and visualize your bulk RNA sequencing datasets with an array of downstream analysis and visualization tools. The pipeline includes: PCA analysis, Clustergrammer interactive heatmap, library size analysis, differential gene expression analysis, enrichment analysis, and L1000 small molecule search.