GSE134870: RNA-Seq of human adipose tissue (siNT vs siRND3 KD)

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
Adipose
GSM3974498 GSM3974499 GSM3974500 GSM3974501 GSM3974502 GSM3974503
GSM3974492 GSM3974493 GSM3974494 GSM3974495 GSM3974496 GSM3974497
Description

Submission Date: Jul 25, 2019

Summary: Total RNA-Seq of Human adipose tissue were sequenced on the Illumina HiSeq4000 platform

GEO Accession ID: GSE134870

PMID: No Pubmed ID

Description

Submission Date: Jul 25, 2019

Summary: Total RNA-Seq of Human adipose tissue were sequenced on the Illumina HiSeq4000 platform

GEO Accession ID: GSE134870

PMID: No Pubmed ID

Visualize Samples

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

Precomputed Differential Gene Expression

Info Differential expression signatures are automatically computed using the limma R package. More options for differential expression are available to compute below.

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Perturbation Condition

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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.