Proteomics

Dataset Information

0

Primary Myeloma Proteomics using Micro IST method


ABSTRACT: The myeloma cell surface proteome (“surfaceome�) not only determines tumor interaction with the microenvironment but serves as an emerging arena for therapeutic development. Here, we use glycoprotein capture proteomics to first define surface markers most-enriched on myeloma when compared to B-cell malignancy models, revealing unexpected biological signatures unique to malignant plasma cells. We next integrate our proteomic dataset with existing transcriptome databases, nominating CCR10 and TXNDC11 as possible monotherapeutic targets and CD48 as a promising co-target for increasing avidity of BCMA-directed cellular therapies. We further identify potential biomarkers of resistance to proteasome inhibitors and lenalidomide including changes in CD53, EVI2B, CD10, and CD33. Comparison of short-term treatment with chronic resistance delineates large differences in surface proteome profile under each type of drug exposure. Finally, we develop a miniaturized version of the surface proteomics protocol and present the first surface proteomic profile of a primary MM patient plasma cell sample. Our dataset provides a unique resource to advance the biological, therapeutic, and diagnostic understanding of myeloma. Note that this is a data supplement to PXD022553.

INSTRUMENT(S): Orbitrap Fusion Lumos, Q Exactive Plus

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): B Cell, Cell Culture, Blood

DISEASE(S): Multiple Myeloma

SUBMITTER: Ian Ferguson  

LAB HEAD: Arun Wiita

PROVIDER: PXD032031 | Pride | 2022-05-27

REPOSITORIES: Pride

Similar Datasets

2022-05-27 | PXD022553 | Pride
2013-09-05 | E-GEOD-46816 | biostudies-arrayexpress
2010-05-19 | E-GEOD-15867 | biostudies-arrayexpress
2013-07-31 | E-GEOD-41276 | biostudies-arrayexpress
2010-11-02 | E-GEOD-21349 | biostudies-arrayexpress
2012-03-27 | E-GEOD-36825 | biostudies-arrayexpress
2011-01-20 | E-GEOD-26760 | biostudies-arrayexpress
2012-03-27 | E-GEOD-36824 | biostudies-arrayexpress
2013-12-07 | E-MTAB-1401 | biostudies-arrayexpress
2014-12-23 | E-GEOD-58133 | biostudies-arrayexpress