GSE108796: Analysis of gene expression in co-culture of PBMCs with Hepatocellular carcinoma by High-Throughput Sequencing

Gene Expression Data Explorer
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GROUP CONDITION SAMPLES
PBMCs
GSM2913328 GSM2913329 GSM2913330
GSM2913325 GSM2913326 GSM2913327
GSM2913331 GSM2913332 GSM2913333
Description

Submission Date: Jan 05, 2018

Summary: Objectives: To characterize the transcripts profile of PBMCs when co-cultured with HCC cell lines using High-Throughput Sequencing and To validate the differentially expressed genes via quantitative reverse transcription polymerase chain reaction (qRT-PCR) in PBMCs of HCC pateints.

Methods: Transcription profiles of PBMC (control) and PBMC co-cultured with liver cancer cell lines (treatment) were generated by deep sequencing, in triplicate, using Illumina Illumina HiSeq 4000.

Results and conclusion: Transcriptome analysis of PBMCs has revealed the presence of biological process alterations when co-cultured with HCC cell lines and qRT-PCR validation have indicated that four genes were up-reglurated in HCC patients when compared with healthy donors including IL1b, INHBA, PLOD2, PRG4.

GEO Accession ID: GSE108796

PMID: No Pubmed ID

Description

Submission Date: Jan 05, 2018

Summary: Objectives: To characterize the transcripts profile of PBMCs when co-cultured with HCC cell lines using High-Throughput Sequencing and To validate the differentially expressed genes via quantitative reverse transcription polymerase chain reaction (qRT-PCR) in PBMCs of HCC pateints.

Methods: Transcription profiles of PBMC (control) and PBMC co-cultured with liver cancer cell lines (treatment) were generated by deep sequencing, in triplicate, using Illumina Illumina HiSeq 4000.

Results and conclusion: Transcriptome analysis of PBMCs has revealed the presence of biological process alterations when co-cultured with HCC cell lines and qRT-PCR validation have indicated that four genes were up-reglurated in HCC patients when compared with healthy donors including IL1b, INHBA, PLOD2, PRG4.

GEO Accession ID: GSE108796

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.