PXD022182 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Proteomics-based approach reveals the involvement of SERPINB9 in recurrent and relapsed multiple myeloma |
Description | Multiple myeloma (MM) is a common hematological malignancy with poorly understood recurrence and relapse mechanisms. Notably, bortezomib resistance leading to relapse makes MM treatment significantly challenging. To clarify the drug resistance mechanism, we employed a quantitative proteomics approach to identify differentially expressed protein candidates implicated in bortezomib-resistant recurrent and relapsed MM (RRMM). Bone marrow biopsy specimens from five patients newly diagnosed with MM (NDMM) were compared with those from five patients diagnosed with bortezomib-resistant RRMM using tandem mass tag-mass spectrometry (TMT-MS). Subcellular localization and functional classification of the differentially expressed proteins were determined by gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and hierarchical clustering. Top candidates identified were validated with parallel reaction monitoring (PRM) analysis using tissue samples from 11 NDMM and 8 RRMM patients, followed by comparison with the NCBI Gene Expression Omnibus (GEO) dataset of 10 MM patients and 10 healthy controls (Accession No.: GSE80608). Thirty-four differentially expressed proteins in RRMM, including proteinase inhibitor 9 (SERPINB9) were identified by TMT-MS. Subsequent functional enrichment analyses of the identified protein candidates indicated their involvement in regulating cellular metabolism, apoptosis, programmed cell death, lymphocyte-mediated immunity, and defense response pathways in RRMM. The top protein candidate SERPINB9 was confirmed by PRM analysis as well as by comparison with an NCBI GEO dataset. We elucidated the proteome landscape of bortezomib-resistant RRMM and identified SERPINB9 as a promising novel therapeutic target. Our results provide a resource for future studies on the mechanism of RRMM. |
HostingRepository | PRIDE |
AnnounceDate | 2021-03-03 |
AnnouncementXML | Submission_2021-03-03_01:20:26.134.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Lina Quan |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | No PTMs are included in the dataset |
Instrument | Q Exactive |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2020-10-26 02:49:45 | ID requested | |
⏵ 1 | 2021-03-03 01:20:26 | announced | |
Publication List
Chen Y, Quan L, Jia C, Guo Y, Wang X, Zhang Y, Jin Y, Liu A, Proteomics-Based Approach Reveals the Involvement of SERPINB9 in Recurrent and Relapsed Multiple Myeloma. J Proteome Res, 20(5):2673-2686(2021) [pubmed] |
Keyword List
submitter keyword: multiple myeloma |
recurrence and relapse |
proteomics |
parallel reaction monitoring |
SERPINB9 |
Contact List
Aichun Liu |
contact affiliation | Hematology Department, Harbin Medical University Cancer Hospital |
contact email | aichun2002@hotmail.com |
lab head | |
Lina Quan |
contact affiliation | Harbin Medical University Cancer Hospital |
contact email | alina1123@yeah.net |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD022182
- Label: PRIDE project
- Name: Proteomics-based approach reveals the involvement of SERPINB9 in recurrent and relapsed multiple myeloma