Searching the Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

Quantification of the N-glycosylated secretome by super-SILAC during breast cancer progression and in human blood samples.

Paul J Boersema | Tamar Geiger | Jacek R Wisniewski | Matthias Mann
Molecular & cellular proteomics : MCP | 2013

Cells secrete a large number of proteins to communicate with their surroundings. Furthermore, plasma membrane proteins and intracellular proteins can be released into the extracellular space by regulated or non-regulated processes. Here, we profiled the supernatant of 11 cell lines that are representative of different stages of breast cancer development by specifically capturing N-glycosylated peptides using the N-glyco FASP technology. For accurate quantification we developed a super-SILAC mix from several labeled breast cancer cell lines and used it as an internal standard for all samples. In total, 1398 unique N-glycosylation sites were identified and quantified. Enriching for N-glycosylated peptides focused the analysis on classically secreted and membrane proteins. N-glycosylated secretome profiles correctly clustered the different cell lines to their respective cancer stage, suggesting that biologically relevant differences were detected. Five different profiles of glycoprotein dynamics during cancer development were detected, and they contained several proteins with known roles in breast cancer. We then used the super-SILAC mix in plasma, which led to the quantification of a large number of the previously identified N-glycopeptides in this important body fluid. The combination of quantifying the secretome of cancer cell lines and of human plasma with a super-SILAC approach appears to be a promising new approach for finding markers of disease.

Pubmed ID: 23090970

Research resources used in this publication

None found

Antibodies used in this publication

None found

Associated grants

None

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


MCF-10A (tool)

RRID:CVCL_0598

Cell line MCF-10A is a Spontaneously immortalized cell line with a species of origin Homo sapiens

View all literature mentions

HCC1937 (tool)

RRID:CVCL_0290

Cell line HCC1937 is a Cancer cell line with a species of origin Homo sapiens (Human)

View all literature mentions

HCC1143 (tool)

RRID:CVCL_1245

Cell line HCC1143 is a Cancer cell line with a species of origin Homo sapiens (Human)

View all literature mentions

HCC1569 (tool)

RRID:CVCL_1255

Cell line HCC1569 is a Cancer cell line with a species of origin Homo sapiens (Human)

View all literature mentions

MDA-MB-453 (tool)

RRID:CVCL_0418

Cell line MDA-MB-453 is a Cancer cell line with a species of origin Homo sapiens (Human)

View all literature mentions