Proteomics

Dataset Information

0

Super-SILAC Allows Classification of Diffuse Large B-cell Lymphoma Subtypes by Their Protein Expression Profiles


ABSTRACT: Correct classification of cancer patients into subtypes is a prerequisite for acute diagnosis and effective treatment. Currently this classification relies mainly on histological assessment, but gene expression analysis bymicroarrays has shown great promise. Here we show that high accuracy, quantitative proteomics can robustly segregate cancer subtypes directly at the level of expressed proteins. We investigated two histologically indistinguishable subtypes of diffuse large B-cell lymphoma (DLBCL): activated Bcell- like (ABC) and germinal-center B-cell-like (GCB) subtypes, by first developing a general lymphoma stable isotope labeling with amino acids in cell culture (SILAC) mix from heavy stable isotope-labeled cell lines. This super- SILAC mix was combined with cell lysates from five ABCDLBCL and five GCB-DLBCL cell lines. Shotgun proteomic analysis on a linear ion trap Orbitrap mass spectrometer with high mass accuracy at the MS and MS/MS levels yielded a proteome of more than 7,500 identified proteins. High accuracy of quantification allowed robust separation of subtypes by principal component analysis. The main contributors to the classification included proteins known to be differentially expressed between the subtypes such as the transcription factors IRF4 and SPI1/ PU.1, cell surface markers CD44 and CD27, as well as novel candidates. We extracted a signature of 55 proteins that segregated subtypes and contained proteins connected to functional differences between the ABC and GCB-DLBCL subtypes, including many NF-kappa B-regulated genes. Shortening the analysis time to single-shot analysis combined with use of the new linear quadrupole Orbitrap analyzer (Q Exactive) also clearly differentiated between the subtypes. These results show that high resolution shotgun proteomics combined with super-SILAC-based quantification is a promising new technology for tumor characterization and classification.

INSTRUMENT(S): LTQ Orbitrap Velos, Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): B Cell, Cell Culture

DISEASE(S): Lymphoma

SUBMITTER: Mario Oroshi  

LAB HEAD: Matthias Mann

PROVIDER: PXD002098 | Pride | 2015-04-24

REPOSITORIES: Pride

Dataset's files

Source:
altmetric image

Publications

Super-SILAC allows classification of diffuse large B-cell lymphoma subtypes by their protein expression profiles.

Deeb Sally J SJ   D'Souza Rochelle C J RC   Cox Jürgen J   Schmidt-Supprian Marc M   Mann Matthias M  

Molecular & cellular proteomics : MCP 20120321 5


Correct classification of cancer patients into subtypes is a prerequisite for acute diagnosis and effective treatment. Currently this classification relies mainly on histological assessment, but gene expression analysis by microarrays has shown great promise. Here we show that high accuracy, quantitative proteomics can robustly segregate cancer subtypes directly at the level of expressed proteins. We investigated two histologically indistinguishable subtypes of diffuse large B-cell lymphoma (DLB  ...[more]

Similar Datasets

2016-08-25 | PXD000332 | Pride
2018-12-14 | PXD009380 | Pride
2013-12-16 | E-GEOD-50721 | biostudies-arrayexpress
2013-12-16 | E-GEOD-50723 | biostudies-arrayexpress
2013-07-09 | E-GEOD-45495 | biostudies-arrayexpress
2016-03-10 | MSV000079572 | MassIVE
2016-01-05 | PXD002619 | Pride
2012-09-19 | GSE32918 | GEO
2012-09-19 | E-GEOD-32918 | biostudies-arrayexpress
2013-07-09 | GSE45495 | GEO