Proteomics

Dataset Information

Micro cell surface proteomics myeloma


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.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): B Cell, Cell Suspension Culture, Bone Marrow

DISEASE(S): Multiple Myeloma

SUBMITTER: Ian Ferguson  

LAB HEAD: Arun P. Wiita

PROVIDER: PXD022553 | Pride | 2022-05-27

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
OxidationMSites_25M_input_MM_patient_sample.txt Txt
Q20170428-02.raw Raw
Q20170428-04.raw Raw
Q20170525-08.raw Raw
Q20170525-10.raw Raw
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