GSE211749: Gene expresssion analysis in liver and white adipose tissues from miR-322-503-351 knock out mice.

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
Liver
GSM6500649 GSM6500650 GSM6500651
GSM6500652 GSM6500653 GSM6500654
White adipose tissue
GSM6500655 GSM6500656 GSM6500657
GSM6500658 GSM6500659 GSM6500660
Description

Submission Date: Aug 22, 2022

Summary: To investigate the effect of miR-503 in aging associated type 2 diabetes, target genes of miR-503 need to be investigated. The global miR-322-503-351 deletion (KO) mouse was constructed, and RNA-seq was then performed on aged mouse liver and white adipose tissue (WAT).

GEO Accession ID: GSE211749

PMID: No Pubmed ID

Description

Submission Date: Aug 22, 2022

Summary: To investigate the effect of miR-503 in aging associated type 2 diabetes, target genes of miR-503 need to be investigated. The global miR-322-503-351 deletion (KO) mouse was constructed, and RNA-seq was then performed on aged mouse liver and white adipose tissue (WAT).

GEO Accession ID: GSE211749

PMID: No Pubmed ID

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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.