Bioorthogonal Conjugation-Assisted Purification Method for Profiling Cell Surface Proteome

Author(s):  
Guopan Liu ◽  
Ming Ho Choi ◽  
Haiying Ma ◽  
Xuejiao Guo ◽  
Pui-Chi Lo ◽  
...  
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.


PLoS ONE ◽  
2016 ◽  
Vol 11 (8) ◽  
pp. e0159824 ◽  
Author(s):  
Christian Niehage ◽  
Jana Karbanová ◽  
Charlotte Steenblock ◽  
Denis Corbeil ◽  
Bernard Hoflack

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

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

PROTEOMICS ◽  
2006 ◽  
Vol 6 (8) ◽  
pp. 2465-2476 ◽  
Author(s):  
Nicole Hansmeier ◽  
Tzu-Chiao Chao ◽  
Jörn Kalinowski ◽  
Alfred Pühler ◽  
Andreas Tauch

2002 ◽  
Vol 278 (9) ◽  
pp. 7607-7616 ◽  
Author(s):  
Bong Kyung Shin ◽  
Hong Wang ◽  
Anne Marie Yim ◽  
Francois Le Naour ◽  
Franck Brichory ◽  
...  

2018 ◽  
Author(s):  
Kevin K Leung ◽  
Aaron Nguyen ◽  
Tao Shi ◽  
Lin Tang ◽  
Xiaochun Ni ◽  
...  

AbstractMyelodysplastic syndromes (MDS) and acute myeloid leukemia (AML) are diseases of abnormal hematopoietic differentiation with aberrant epigenetic alterations. Azacitidine (AZA) is a DNA methyltransferase inhibitor (DNMTi) widely used to treat MDS and AML, yet the impact of AZA on the cell surface proteome has not been defined. To identify potential therapeutic targets for use in combination with AZA in AML patients, we investigated the effects of AZA treatment on four AML cell lines (KG1a, HL60, HNT34, and AML193), representing different stages of differentiation. The effect of AZA treatment on these cell lines was characterized at three levels: the DNA methylome (methylation array), the transcriptome (gene expression array), and the cell surface proteome (glycoprotein capture with SILAC labeling). Untreated AML cell lines showed substantial overlap in their methylomes, transcriptomes, and cell surface proteomes. AZA treatment globally reduced DNA methylation in all cell lines, but changes in the transcriptome and surface proteome were subtle and differed among the cell lines. Transcriptome analysis identified five commonly up-regulated coding genes upon AZA treatment in all four cell lines, TRPM4 being the only gene encoding a surface protein, and surface proteomics analysis found no commonly regulated proteins. Gene Set Enrichment Analysis (GSEA) of differentially-regulated RNA and surface proteins showed a decrease in metabolism pathways and an increase in immune defense response pathways. As such, AZA treatment in four AML cell lines had diverse effects at the individual gene and protein level, but converged to regulation of metabolism and immune response at the pathway level. Given the heterogeneous response of AZA in the four cell lines at the gene and protein level, we discuss potential therapeutic strategies for combinations with AZA.


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