GSE185011: The expression of mRNA and lncRNA in peripheral blood mononuclear cells (PBMCs) of diabetes mellitus, diabetic retinopathy (DR), diabetic peripheral neuropathy (DPN) and diabetic nephropathy (DN) patients

Gene Expression Data Explorer
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GROUP CONDITION SAMPLES
Peripheral blood mononuclear cells
GSM5603427 GSM5603428 GSM5603429 GSM5603430 GSM5603431 GSM5603432 GSM5603433 GSM5603434 GSM5603435 GSM5603436 GSM5603437 GSM5603438 GSM5603439 GSM5603440 GSM5603441 GSM5603442 GSM5603443 GSM5603444 GSM5603445 GSM5603446 GSM5603447 GSM5603448 GSM5603449 GSM5603450 GSM5603451
Description

Submission Date: Sep 29, 2021

Summary: DR, DPN and DN are common complications in diabetes, and the differentially expressed mRNAs and lncRNAs in these diabetic complications may help to identify the molecular markers for the onset and progression of diseases.

In our study, high-throughput sequencing technique was used to analyze the expression profile of mRNA and lncRNA in the peripheral blood of health control, T2DM, DR, DPN and DN patients, in order to determine the

differentially expressed transcriptomic profiles changes in diabetic complications and identify the shared and specific biological signaling pathways related to DR, DPN and DN.

GEO Accession ID: GSE185011

PMID: 35989592

Description

Submission Date: Sep 29, 2021

Summary: DR, DPN and DN are common complications in diabetes, and the differentially expressed mRNAs and lncRNAs in these diabetic complications may help to identify the molecular markers for the onset and progression of diseases.

In our study, high-throughput sequencing technique was used to analyze the expression profile of mRNA and lncRNA in the peripheral blood of health control, T2DM, DR, DPN and DN patients, in order to determine the

differentially expressed transcriptomic profiles changes in diabetic complications and identify the shared and specific biological signaling pathways related to DR, DPN and DN.

GEO Accession ID: GSE185011

PMID: 35989592

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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.