Dataset Information

N-linked glycosylation enrichment for in-depth cell surface proteomics and the classification of diffuse large B-cell lymphoma subtypes

ABSTRACT: The classification of histologically similar yet molecularly distinct tumors into specific subtypes remains a clinically challenging task. Classification of such tumors into distinct entities based on their cell surface protein expression profiles has been hindered by the lack of an unbiased global approach. Here we use N-glyco FASP, a recently developed mass spectrometric approach based on lectin-enrichment of N-linked glycoproteins, in conjunction with a super-SILAC based quantitative strategy, on patient derived diffuse large B-cell lymphoma cell lines. We mapped 2383 glycosites on more than 1300 proteins, which were highly enriched for cell membrane proteins. The resulting sub-proteome was highly enriched for cell membrane proteins. This N-glyco sub-proteome alone allowed the segregation of the ABC from the GCB subtypes of diffuse large B-cell lymphoma, which before gene expression studies had been considered one disease entity. Encouragingly, many of the glycopeptides driving the segregation belong to proteins previously characterized as segregators in a deep proteome study of these subtypes (S. J. Deeb et al MCP 2012 PMID 22442255). This conforms to the high correlation that we observed between the expression level of the glycosites and their corresponding proteins. Detailed examination of glycosites and glycoprotein expression levels uncovered, amongst other interesting findings, enrichment of transcription factor binding motifs, including known NF-kappa-B related ones. Thus, enrichment of a class of post-translationally modified peptides can classify cancer types as well as reveal cancer specific mechanistic changes.

INSTRUMENT(S): LTQ Orbitrap Velos

ORGANISM(S): Homo Sapiens (human)

SUBMITTER: Mario Oroshi

LAB HEAD: Matthias Mann

PROVIDER: PXD000332 | Pride | 2016-08-25

REPOSITORIES: Pride

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Publications

N-linked glycosylation enrichment for in-depth cell surface proteomics of diffuse large B-cell lymphoma subtypes.

Deeb Sally J SJ Cox Juergen J Schmidt-Supprian Marc M Mann Matthias M

Molecular & cellular proteomics : MCP 20131104 1

Global analysis of lymphoma genome integrity and transcriptomes tremendously advanced our understanding of their biology. Technological advances in mass spectrometry-based proteomics promise to complete the picture by allowing the global quantification of proteins and their post-translational modifications. Here we use N-glyco FASP, a recently developed mass spectrometric approach using lectin-enrichment, in conjunction with a super-SILAC approach to quantify N-linked glycoproteins in lymphoma c ...[more]

PMID: 24190977

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Project description:Non-small cell lung cancer (NSCLC) cell lines are widely used model systems to study molecular aspects of lung cancer. Comparative and in-depth proteome expression data across many NSCLC cell lines has not been generated yet, but would be of utility for the investigation of candidate targets and markers in oncogenesis. We employed a SILAC reference approach to perform replicate proteome quantifications across 23 distinct NSCLC cell lines. On average, close to 4000 distinct proteins were identified and quantified per cell line. These included many known targets and diagnostic markers, indicating that our proteome expression data represents a useful resource for NSCLC pre-clinical research. To assess proteome diversity within the NSCLC cell line panel, we performed hierarchical clustering and principal component analysis of proteome expression data. Our results indicate that general proteome diversity among NSCLC cell lines supersedes potential effects common to K-Ras or epidermal growth factor receptor (EGFR) oncoprotein expression. However, we observed partial segregation of EGFR or KRAS mutant cell lines for certain principal components, which reflected biological differences according to gene ontology enrichment analyses. Moreover, statistical analysis revealed several proteins that were significantly overexpressed in KRAS or EGFR mutant cell lines. Biological significance Despite enormous progress in molecular characterization and targeted therapy NSCLC represents a major cause for cancer-related deaths. While pre-clinical models such as NSCLC cell lines have been studied on the genomic and transcriptional level, proteome composition is poorly characterized. We conducted quantitative profiling across 23 NSCLC cell lines and studied global proteome diversity in relation to the presence of oncogenic KRAS or EGFR mutations. Notably, in-depth bioinformatics analysis pointed to prominent biological processes as well as up-regulated proteins in KRAS and EGFR mutant cells, highlighting the utility of cancer cell proteomics to identify target or biomarker candidates in the context of specific oncogenic mechanisms.

Project description:Dysregulation of glyco-gene expression in cancer can lead to aberrant glycans and glycoconjugates, which in turn can promote tumorigenesis. Cervical cancer display augmentation of aberrant sialylated glycans and increase of glyco-genes, which encoded enzymes participate in the sialylation pathways. Besides sialiltranferases, other glyco-genes, analyzed individually are reported as altered in cervical cancer. Here we show a comprehensive analysis of glyco-gene expression in cervical cancer to obtain a wide scenery of global changes in glycosylation pathways. First, we compared glyco-gene expression between normal tissue and cervical cancer. Second, we analyzed the glycogene expression in subtypes of cc to obtain hallmarks of glyco-gene expression in each case. Our results indicate that in cervical cancer the GPI-anchored biosynthesis is increased in cc while the synthesis of chondroitin and dermatan sulfate are decreased. Moreover, data show that adenocarcinoma displayed a homogenous glyco-gene expression pattern, where chondroitin /dermatan sulfate and heparan sulfate glycogenes are decreased, while keratan sulfate genes are increased. Dysregulation of glyco-gene expression in cancer can lead to aberrant glycans and glycoconjugates, which in turn can promote tumorigenesis. Cervical cancer display augmentation of aberrant sialylated glycans and increase of glyco-genes, which encoded enzymes participate in the sialylation pathways. Besides sialiltranferases, other glyco-genes, analyzed individually are reported as altered in cervical cancer. Here we show a comprehensive analysis of glyco-gene expression in cervical cancer to obtain a wide scenery of global changes in glycosylation pathways. First, we compared glyco-gene expression between normal tissue and cervical cancer. Second, we analyzed the glycogene expression in subtypes of cc to obtain hallmarks of glyco-gene expression in each case. Our results indicate that in cervical cancer the GPI-anchored biosynthesis is increased in cc while the synthesis of chondroitin and dermatan sulfate are decreased. Moreover, data show that adenocarcinoma displayed a homogenous glyco-gene expression pattern, where chondroitin /dermatan sulfate and heparan sulfate glycogenes are decreased, while keratan sulfate genes are increased.

Dataset Information

N-linked glycosylation enrichment for in-depth cell surface proteomics and the classification of diffuse large B-cell lymphoma subtypes

Publications

N-linked glycosylation enrichment for in-depth cell surface proteomics of diffuse large B-cell lymphoma subtypes.

Similar Datasets

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