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Updated: Jan 22, 2026

Quantitative Analysis of Chromatin Proteomes in Disease
Published on: December 28, 2012
Quantitative proteomics analysis of differentially expressed proteins in activated B-cell-like diffuse large B-cell
Hai-Xia Gao1, Aijiang Nuerlan1, Gulinaer Abulajiang2
1Department of Pathology, The First Affiliated Hospital of Xinjiang Medical University, No. 137 Liyushan Southern Road, Urumqi, The Xinjiang Uygur Autonomous Region of China, 830054, PR China; Xinjiang Medical University, No. 393 Xinyi Road, Urumqi, The Xinjiang Uygur Autonomous Region of China, 830011, PR China.
This study identified differentially expressed proteins in activated B-cell-like diffuse large B-cell lymphoma (ABC-DLBCL) using iTRAQ quantitative proteomics. These findings offer new insights into ABC-DLBCL pathogenesis and potential therapeutic targets.
Area of Science:
- * Hematology
- * Oncology
- * Proteomics
Background:
- * Diffuse large B-cell lymphoma (DLBCL) is an aggressive non-Hodgkin lymphoma (NHL) with varied outcomes.
- * Activated B-cell-like DLBCL (ABC-DLBCL) is a subtype with unclear pathogenesis.
- * Current treatments cure half of DLBCL cases, but one-third relapse.
Purpose of the Study:
- * To investigate differentially expressed proteins in ABC-DLBCL using iTRAQ quantitative proteomics.
- * To identify novel protein biomarkers associated with ABC-DLBCL development.
- * To provide insights into the molecular mechanisms driving ABC-DLBCL.
Main Methods:
- * Quantitative proteomics (iTRAQ) was employed on 7 ABC-DLBCL samples and 8 control lymph node samples.
- * Protein-protein interaction (PPI) network analysis, Gene Ontology (GO), and KEGG pathway analysis were performed.
- * Validation of six key proteins (HSP90AB1, GNA13, LAMB2, LAMA5, YWHAZ, IKBKB) using PRM and TCGA data.
Main Results:
- * A total of 5974 proteins were identified.
- * 131 proteins were upregulated and 204 were downregulated in ABC-DLBCL compared to controls (P < 0.05, fold change > 1.2).
- * Expression levels of six target proteins were significantly different between groups, validating iTRAQ findings.
Conclusions:
- * This study is the first to use iTRAQ technology to identify proteins associated with ABC-DLBCL.
- * The identified proteins and pathways offer new perspectives on ABC-DLBCL pathogenesis.
- * Targeting these proteins may improve treatment strategies and reduce mortality in DLBCL patients.
- * Further research is needed to elucidate the functional roles of these proteins in ABC-DLBCL.
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