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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
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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.
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Overall design |
178 snap-frozen explant liver samples and/or biopsies were processed for RNA sequencing on the Illumina NovaSeq6000 system.
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Contributor(s) |
Zeybel M, Atak D, Mardinoglu A, Yang H |
Citation missing |
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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
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Organization name |
KTH Royal Institute of Technology/Science For Life Laboratory
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Department |
Systems Biology
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Lab |
Sysmedicine
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Street address |
Tomtebodavägen 23A
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City |
Solna |
State/province |
Stockholm |
ZIP/Postal code |
171 65 Country |
Country |
Sweden |
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Platforms (1) |
GPL24676 |
Illumina NovaSeq 6000 (Homo sapiens) |
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Samples (177)
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Relations |
BioProject |
PRJNA1154708 |