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
Female CD-1 mice
GSM4556361 GSM4556362 GSM4556363 GSM4556364
GSM4556358 GSM4556359 GSM4556360
GSM4556365 GSM4556366 GSM4556367 GSM4556368
GSM4556355 GSM4556356 GSM4556357
GSM4556351 GSM4556352 GSM4556353 GSM4556354
GSM4556347 GSM4556348 GSM4556349 GSM4556350
Male CD-1 mice
GSM4556369 GSM4556370 GSM4556371 GSM4556372
GSM4556373 GSM4556374 GSM4556375 GSM4556376
Description

Submission Date: May 15, 2020

Summary: We report the RNA-sequencing analysis of hepatic RNA isolated from CD-1 mice following gestational exposure to 500ppb CdCl2. We show that gestational Cd exposure alters the hepatic gene expression of female, but not male offspring in numerous pathways related to oxidative stress and mitochondrial dysfunction leading to endoplasmic reticulum stress that ultimately drives metabolic disruption of insulin signaling.

GEO Accession ID: GSE150679

PMID: 33259630

Description

Submission Date: May 15, 2020

Summary: We report the RNA-sequencing analysis of hepatic RNA isolated from CD-1 mice following gestational exposure to 500ppb CdCl2. We show that gestational Cd exposure alters the hepatic gene expression of female, but not male offspring in numerous pathways related to oxidative stress and mitochondrial dysfunction leading to endoplasmic reticulum stress that ultimately drives metabolic disruption of insulin signaling.

GEO Accession ID: GSE150679

PMID: 33259630

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.

Signatures:

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Control Condition

Perturbation Condition

Only conditions with at least 1 replicate are available to select

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.