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.
Enter gene symbol:

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GROUP CONDITION SAMPLES
fibroblast
GSM4861264 GSM4861265 GSM4861266
GSM4861280 GSM4861281 GSM4861282 GSM4861318 GSM4861319 GSM4861320
GSM4861286 GSM4861287 GSM4861323 GSM4861324 GSM4861325
GSM4861258 GSM4861259 GSM4861260
GSM4861283 GSM4861284 GSM4861285 GSM4861321 GSM4861322
GSM4861277 GSM4861278 GSM4861279 GSM4861315 GSM4861316 GSM4861317
GSM4861261 GSM4861262 GSM4861263
heart tissue
GSM4861296 GSM4861297 GSM4861298
GSM4861288 GSM4861289 GSM4861290 GSM4861291 GSM4861292 GSM4861293 GSM4861294 GSM4861295
GSM4861299 GSM4861300 GSM4861301 GSM4861302 GSM4861303 GSM4861304 GSM4861305 GSM4861306 GSM4861307 GSM4861308 GSM4861309 GSM4861310 GSM4861311 GSM4861312 GSM4861313 GSM4861314
GSM4861267 GSM4861268 GSM4861269 GSM4861270 GSM4861271 GSM4861272 GSM4861273 GSM4861274 GSM4861275 GSM4861276
Description

Submission Date: Oct 26, 2020

Summary: Molecular changes underlying the failing heart in chronic kidney disease (CKD) remains largely undefined. To date, a severe paucity of translational studies investigating these changes utilizing human heart tissues from kidney failure patients exists. Moreover, no studies have examined alterations of the cardiac cytoskeleton in CKD, despite its central role in regulating organelle function, bioenergetics and myocardial remodeling. In this 3-arm cross-sectional controlled cohort study, we compared donor heart tissues from dialysis patients, to patients with hypertension with relatively preserved GFR, and healthy controls. We present evidence for transcriptomic changes in the hearts of dialysis patients, involving cytoskeletal dysregulation and dysfunction of mitochondrial bioenergetics.

GEO Accession ID: GSE160145

PMID: 35179046

Description

Submission Date: Oct 26, 2020

Summary: Molecular changes underlying the failing heart in chronic kidney disease (CKD) remains largely undefined. To date, a severe paucity of translational studies investigating these changes utilizing human heart tissues from kidney failure patients exists. Moreover, no studies have examined alterations of the cardiac cytoskeleton in CKD, despite its central role in regulating organelle function, bioenergetics and myocardial remodeling. In this 3-arm cross-sectional controlled cohort study, we compared donor heart tissues from dialysis patients, to patients with hypertension with relatively preserved GFR, and healthy controls. We present evidence for transcriptomic changes in the hearts of dialysis patients, involving cytoskeletal dysregulation and dysfunction of mitochondrial bioenergetics.

GEO Accession ID: GSE160145

PMID: 35179046

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.