GSE144274: RNA sequencing of healthy and diseased (idiopathic pulmonary hypertension) human pulmonary artery smooth muscle cells

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
cell type: human pulmonary artery smooth muscle cells
GSM4284785 GSM4284786 GSM4284787 GSM4284788
GSM4284789 GSM4284790 GSM4284791 GSM4284792
Description

Submission Date: Jan 27, 2020

Summary: We performed RNA-seq to analyze gene expression in human PASMCs (Pulmonary arterial smooth muscle cells) isolated from subjects without disease and from subjects with IPAH (idiopathic pulmonary hypertension)

GEO Accession ID: GSE144274

PMID: 32337710

Description

Submission Date: Jan 27, 2020

Summary: We performed RNA-seq to analyze gene expression in human PASMCs (Pulmonary arterial smooth muscle cells) isolated from subjects without disease and from subjects with IPAH (idiopathic pulmonary hypertension)

GEO Accession ID: GSE144274

PMID: 32337710

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Info Visualizations are precomputed using the Python package scanpy on the top 5000 most variable genes.

Precomputed Differential Gene Expression

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Differential Gene Expression Analysis
Info Differential expression signatures can be computed using DESeq2 or characteristic direction.
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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.