Integrative Single-Cell and Bulk Transcriptomic Analysis Reveals Ribosome Biogenesis-Associated Molecular Subtypes and Immune Characteristics in Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) exhibits substantial molecular heterogeneity. We integrated single-cell and bulk transcriptomic data to investigate associations between ribosome biogenesis-related (RiboSis-related) gene expression and the molecular and immune characteristics of HCC. GLUL+ hepatocytes had the highest RiboSis-related gene-set score among hepatocyte subpopulations, and ligand–receptor analysis inferred an MDK–SDC2 interaction between ALDOA+ and GLUL+ hepatocytes. Feature selection identified four candidate genes, with subsequent subtype analysis highlighting BOP1 and EXOSC4. The two molecular subtypes differed in RiboSis-related gene expression, immune cell signature scores, mutation profiles, checkpoint gene expression, and TIDE scores. Immunohistochemistry showed higher BOP1 and EXOSC4 staining in HCC than in paired adjacent tissues. EXOSC4 staining was lower in HBV-associated than in non-viral HCC within the tissue microarray. These findings associate RiboSis-related expression with distinct molecular and inferred immune features in HCC. The clinical relevance of these subtypes for immunotherapy and the functional roles of BOP1 and EXOSC4 require further validation.

Authors

Institutions

Publication Details

Journal
Biology
Published
2026-11-08
DOI
https://doi.org/10.3390/biology15212034
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Integrative Single-Cell and Bulk Transcriptomic Analysis Reveals Ribosome Biogenesis-Associated Molecular Subtypes and Immune Characteristics in Hepatocellular Carcinoma

Shangdi Zhang, Yicheng Ma, Zejing Liu, Jing Yang et al.
Biology
Hepatocellular Carcinoma Treatment and Prognosis
article

Integrative Single-Cell and Bulk Transcriptomic Analysis Reveals Ribosome Biogenesis-Associated Molecular Subtypes and Immune Characteristics in Hepatocellular Carcinoma

Shangdi Zhang, Yicheng Ma, Zejing Liu, Jing Yang, Hongwei Gao, Shan Gao, Linjing Li
article en

Abstract

Hepatocellular carcinoma (HCC) exhibits substantial molecular heterogeneity. We integrated single-cell and bulk transcriptomic data to investigate associations between ribosome biogenesis-related (RiboSis-related) gene expression and the molecular and immune characteristics of HCC. GLUL+ hepatocytes had the highest RiboSis-related gene-set score among hepatocyte subpopulations, and ligand–receptor analysis inferred an MDK–SDC2 interaction between ALDOA+ and GLUL+ hepatocytes. Feature selection identified four candidate genes, with subsequent subtype analysis highlighting BOP1 and EXOSC4. The two molecular subtypes differed in RiboSis-related gene expression, immune cell signature scores, mutation profiles, checkpoint gene expression, and TIDE scores. Immunohistochemistry showed higher BOP1 and EXOSC4 staining in HCC than in paired adjacent tissues. EXOSC4 staining was lower in HBV-associated than in non-viral HCC within the tissue microarray. These findings associate RiboSis-related expression with distinct molecular and inferred immune features in HCC. The clinical relevance of these subtypes for immunotherapy and the functional roles of BOP1 and EXOSC4 require further validation.

BiologyVol. 15(21)
Lanzhou University Second Hospital (CN), Lanzhou University (CN)
Hepatocellular Carcinoma Treatment and Prognosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon