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Next Generation Sequencing Facilitates Quantitative Analysis of Control and rhCYGB treated liver and HHSteC transcriptomes

ABSTRACT: This SuperSeries is composed of the SubSeries listed below.

ORGANISM(S): Mus musculus Homo sapiens

PROVIDER: GSE156780 | GEO | 2020/08/25

REPOSITORIES: GEO

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Similar Datasets

Next Generation Sequencing Facilitates Quantitative Analysis of Control and rhCYGB treated liver transcriptomes [DDC]

Project description:Purpose: The goal of this study is to investigate the effect of recombinant human Cytoglobin (rhCYGB) on liver fibrosis induced by DDC diet in mice. Method: mRNA profiles of liver tissue of DDC-control mice and liver tissue of DDC-rhCYGB treated mice treated were generated by deep sequencing. Results: The RNA-seq data confirmed that extracellular matrix-encoding genes and fibrosis-related genes were down-regulated by the His-CYGB treatment.

2020-08-25 | GSE156778 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Control and rhCYGB treated liver transcriptomes [TAA]

Project description:Purpose: The goal of this study is to investigate the effect of recombinant human Cytoglobin (rhCYGB) on liver fibrosis induced by TAA in mice. Method: mRNA profiles of liver tissues from TAA-control mice and TAA-rhCYGB treated mice were generated by deep sequencing. Results: The RNA-seq data confirmed that extracellular matrix-encoding genes and fibrosis-related genes were down-regulated by the rhCYGB treatment.

2020-08-25 | GSE156777 | GEO

next generation sequencing facilitates quantitative analysis of control and TKO liver transcriptomes

Project description:We used RNAseq to analyse the transcriptomes of cycling and quiescent livers from cTKO (Rblox/lox;p130lox/lox;p107?/?) and control mice. mRNA profiles of cycling and quiescent control and TKO liver tissue were generated by deep sequencing in duplicate

2014-07-12 | E-GEOD-43631 | biostudies-arrayexpress

Next-generation sequencing facilitates quantitative analysis of wild-type and Nrl(-/-) retinal transcriptomes.

Project description: Not available

| S-EPMC3233386 | biostudies-literature

Next Generation Sequencing Facilitates Quantitative Analysis of Control and rhCYGB treated liver transcriptomes [DDC]

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of Control and rhCYGB treated liver transcriptomes [DDC]

| PRJNA659011 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of Control and rhCYGB treated liver transcriptomes [TAA]

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of Control and rhCYGB treated liver transcriptomes [TAA]

| PRJNA659012 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of HHSteCs and HHSteC treated rhCYGB [HSC]

Project description:Purpose: Hepatic stellate cells (HSCs) plays an important role in liver fibrosis. Recombinant human Cytoglobin (rhCYGB) can inhibit the activation of HSCs. The goal of this study is to investigate the rhCYGB targeted signalling pathways regulating the activation of HSCs. Method: mRNA profiles of HHSteCs control and HHSteCs treated with rhCYGB (80 µg/ml, for 48 hour) were generated by deep sequencing. Results: The RNA-seq data confirmed that extracellular matrix-encoding genes and fibrosis-related genes were down-regulated by the His-CYGB treatment. The top of up-regulated genes following His-CYGB treatment were interferon (IFN)-stimulated genes (ISGs), implying IFN signaling in His-CYGB treatment.

2020-08-25 | GSE156779 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Control and rhCYGB treated in MIA PaCa-2 cell line

Project description:Purpose: The goal of this study is to investigate the inhibitor effect of Cytoglobin on pancreatic cancer Method: mRNA profiles of control and rhCYGB treated pancreatic cancer cells were generated by deep sequencing. Results: The RNA-seq data confirmed that extracellular matrix-encoding genes and cell cycle regulated genes were down-regulated by the His-CYGB treatment.

2022-05-11 | GSE178358 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Control and rhCYGB treated liver and HHSteC transcriptomes

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of Control and rhCYGB treated liver and HHSteC transcriptomes

| PRJNA659008 | ENA

next generation sequencing facilitates quantitative analysis of control and TKO liver transcriptomes

Project description:We used RNAseq to analyse the transcriptomes of cycling and quiescent livers from cTKO (Rblox/lox;p130lox/lox;p107/) and control mice.

2014-07-12 | GSE43631 | GEO

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