scholarly journals Analysis of Cell Surface Proteome Changes via Label-free, Quantitative Mass Spectrometry

2008 ◽  
Vol 8 (4) ◽  
pp. 624-638 ◽  
Author(s):  
Ralph Schiess ◽  
Lukas N. Mueller ◽  
Alexander Schmidt ◽  
Markus Mueller ◽  
Bernd Wollscheid ◽  
...  
PLoS ONE ◽  
2016 ◽  
Vol 11 (8) ◽  
pp. e0159824 ◽  
Author(s):  
Christian Niehage ◽  
Jana Karbanová ◽  
Charlotte Steenblock ◽  
Denis Corbeil ◽  
Bernard Hoflack

2020 ◽  
Vol 8 (2) ◽  
pp. e000915
Author(s):  
Robyn A A Oldham ◽  
Mary L Faber ◽  
Theodore R Keppel ◽  
Amanda R Buchberger ◽  
Matthew Waas ◽  
...  

BackgroundMultiple myeloma (MM) is characterized by clonal expansion of malignant plasma cells in the bone marrow. While recent advances in treatment for MM have improved patient outcomes, the 5-year survival rate remains ~50%. A better understanding of the MM cell surface proteome could facilitate development of new directed therapies and assist in stratification and monitoring of patient outcomes.MethodsIn this study, we first used a mass spectrometry (MS)-based discovery-driven cell surface capture (CSC) approach to map the cell surface N-glycoproteome of MM cell lines. Next, we developed targeted MS assays, and applied these to cell lines and primary patient samples to refine the list of candidate tumor markers. Candidates of interest detected by MS on MM patient samples were further validated using flow cytometry (FCM).ResultsWe identified 696 MM cell surface N-glycoproteins by CSC, and developed 73 targeted MS detection assays. MS-based validation using primary specimens detected 30 proteins with significantly higher abundance in patient MM cells than controls. Nine of these proteins were identified as potential immunotherapeutic targets, including five that were validated by FCM, confirming their expression on the cell surface of primary MM patient cells.ConclusionsThis MM surface N-glycoproteome will be a valuable resource in the development of biomarkers and therapeutics. Further, we anticipate that our targeted MS assays will have clinical benefit for the diagnosis, stratification, and treatment of MM patients.


2020 ◽  
Author(s):  
Matthew Waas ◽  
Jack Littrell ◽  
Rebekah L. Gundry

AbstractCell surface transmembrane, extracellular, and secreted proteins are high value targets for immunophenotyping, drug development, and studies related to intercellular communication in health and disease. As the number of specific and validated affinity reagents that target this subproteome are limited, mass spectrometry (MS)-based approaches will continue to play a critical role in enabling discovery and quantitation of these molecules. Given the technical considerations that make MS-based cell surface proteome studies uniquely challenging, it can be difficult to select an appropriate experimental approach. To this end, we have integrated multiple prediction strategies and annotations into a single online resource, Compiled Interactive Resource for Extracellular and Surface Studies (CIRFESS). CIRFESS enables rapid interrogation of the human proteome to reveal the cell surface proteome theoretically detectable by current approaches and highlights where current prediction strategies provide concordant and discordant information. We applied CIRFESS to identify the percentage of various subsets of the proteome which are expected to be captured by targeted enrichment strategies, including two established methods and one that is possible but not yet demonstrated. These results will inform the selection of available proteomic strategies and development of new strategies to enhance coverage of the cell surface and extracellular proteome. CIRFESS is available at www.cellsurfer.net/cirfess.


2019 ◽  
Vol 196 ◽  
pp. 33-41 ◽  
Author(s):  
Yanan Li ◽  
Yan Wang ◽  
Jiawei Mao ◽  
Yating Yao ◽  
Keyun Wang ◽  
...  

2013 ◽  
Vol 6 (3) ◽  
pp. 365-376 ◽  
Author(s):  
Andreas Cederlund ◽  
Frank Nylén ◽  
Erica Miraglia ◽  
Peter Bergman ◽  
Gudmundur H. Gudmundsson ◽  
...  

2011 ◽  
Vol 74 (10) ◽  
pp. 1985-1993 ◽  
Author(s):  
Kohji Nagano ◽  
Takashi Shinkawa ◽  
Kuniyasu Kato ◽  
Noriyuki Inomata ◽  
Nami Yabuki ◽  
...  

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