Transcriptomic and proteomic analysis of osteogenesis imperfecta disease-specific induced pluripotent stem cells

BACKGROUND: Osteogenesis imperfecta (OI) is a rare genetic bone disorder for which treatment options remain limited. Disease-specific induced pluripotent stem cells (iPSCs) offer a valuable model to investigate its underlying pathological mechanisms. METHODS: Peripheral blood cells from two OI patients were reprogrammed into iPSCs. Transcriptomic sequencing and proteomic analysis were employed to systematically identify differentially expressed genes (DEGs) and proteins (DEPs) between OI-iPSCs and normal iPSCs. Bioinformatics approaches were subsequently applied for enrichment analysis and protein-protein interaction network investigation. RESULTS: OI-iPSCs were successfully established. Integrated multi-omics analysis identified 671 common DEGs and 636 common DEPs. These molecules were significantly enriched in metabolic pathways, with the oxidative phosphorylation pathway being particularly prominent. Further cross-omics screening revealed 22 genes that were differentially expressed at both the mRNA and protein levels. Among these, the focal adhesion protein VCL emerged as a central hub within the protein-protein interaction network. CONCLUSION: Through multi-omics analysis, this study revealed widespread dysregulation of metabolic pathways in OI-iPSCs, suggesting that targeted interventions on specific metabolic pathways may represent a novel therapeutic strategy for OI. VCL emerged as a key candidate molecule, warranting further functional validation in subsequent studies. These findings provide new insights into the mechanisms of OI and potential avenues for therapeutic development.

Authors

Institutions

Publication Details

Journal
BMC Medical Genomics
Published
2026-05-11
DOI
https://doi.org/10.1186/s12920-026-02384-9
Primary Topic
Connective tissue disorders research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Transcriptomic and proteomic analysis of osteogenesis imperfecta disease-specific induced pluripotent stem cells

Chune Mo, Xianliang Hou, Weiwei Gong, Lingyu Huang et al.
BMC Medical Genomics
Connective tissue disorders research
article

Transcriptomic and proteomic analysis of osteogenesis imperfecta disease-specific induced pluripotent stem cells

Chune Mo, Xianliang Hou, Weiwei Gong, Lingyu Huang, Chunhong Li, Ruijun Guo, Minglin Ou, Yu Sha
article en

Abstract

BACKGROUND: Osteogenesis imperfecta (OI) is a rare genetic bone disorder for which treatment options remain limited. Disease-specific induced pluripotent stem cells (iPSCs) offer a valuable model to investigate its underlying pathological mechanisms. METHODS: Peripheral blood cells from two OI patients were reprogrammed into iPSCs. Transcriptomic sequencing and proteomic analysis were employed to systematically identify differentially expressed genes (DEGs) and proteins (DEPs) between OI-iPSCs and normal iPSCs. Bioinformatics approaches were subsequently applied for enrichment analysis and protein-protein interaction network investigation. RESULTS: OI-iPSCs were successfully established. Integrated multi-omics analysis identified 671 common DEGs and 636 common DEPs. These molecules were significantly enriched in metabolic pathways, with the oxidative phosphorylation pathway being particularly prominent. Further cross-omics screening revealed 22 genes that were differentially expressed at both the mRNA and protein levels. Among these, the focal adhesion protein VCL emerged as a central hub within the protein-protein interaction network. CONCLUSION: Through multi-omics analysis, this study revealed widespread dysregulation of metabolic pathways in OI-iPSCs, suggesting that targeted interventions on specific metabolic pathways may represent a novel therapeutic strategy for OI. VCL emerged as a key candidate molecule, warranting further functional validation in subsequent studies. These findings provide new insights into the mechanisms of OI and potential avenues for therapeutic development.

BMC Medical Genomics
Guilin Medical University (CN)
Zero hunger
Openalex Percentile: Top 7%
Connective tissue disorders research
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.

Transcriptomic and proteomic analysis of osteogenesis imperfecta disease-specific induced pluripotent stem cells — Chune Mo, Xianliang Hou, et al. · BMC Medical Genomics (2026) | TGRS Research Map | TGRS