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Series GSE276114 Query DataSets for GSE276114
Status Public on Jan 19, 2025
Title Integrative proteo-transcriptomic characterization of advanced fibrosis in chronic liver disease across etiologies
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary While technological advancements have improved our understanding of fibrogenesis, identifying advanced fibrosis in the general population remains challenging due to clinical heterogeneity influenced by underlying causes, comorbidities, and lifestyle factors. A systems-level characterization of metabolic and signaling dysregulation could effectively capture the signatures driving liver fibrosis across different etiologies. In this study, we utilized a data-driven multi-omics approach, encompassing liver transcriptomics and plasma proteomics, to thoroughly characterize patients across the pathological spectrum, from early-stage fibrosis to cirrhosis and associated HCC.
 
Overall design 178 snap-frozen explant liver samples and/or biopsies were processed for RNA sequencing on the Illumina NovaSeq6000 system.
 
Contributor(s) Zeybel M, Atak D, Mardinoglu A, Yang H
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Submission date Aug 30, 2024
Last update date Jan 19, 2025
Contact name Hong Yang
E-mail(s) hong.yang@scilifelab.se
Organization name KTH Royal Institute of Technology/Science For Life Laboratory
Department Systems Biology
Lab Sysmedicine
Street address Tomtebodavägen 23A
City Solna
State/province Stockholm
ZIP/Postal code 171 65 Country
Country Sweden
 
Platforms (1)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (177)
GSM8491342 Liver sample 1
GSM8491343 Liver sample 2
GSM8491344 Liver sample 3
Relations
BioProject PRJNA1154708

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE276114_raw.count.txt.gz 11.4 Mb (ftp)(http) TXT
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Raw data are available in SRA

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