Literature DB >> 26407994

Emerging Proteomic Technologies Provide Enormous and Underutilized Potential for Brain Cancer Research.

Qiang Tian1, Vineet Sangar1, Nathan D Price2.   

Abstract

High-throughput technologies present immense opportunities to characterize brain cancer biology at a systems level. However, proteomic studies of brain cancers are still relatively scarce. Here we discuss the latest proteomic technologies, their application to profiling and quantitation of brain proteomes and how we expect these technologies will be applied to study brain cancer proteomes in the future. Mass spectrometry based proteomics with increased specificity, coverage and throughput will be pervasive in proteomics investigations of brain. Generated data needs to be captured by the curation of databases, and application of creative data analysis strategies is needed to provide meaningful insights into brain functions and associated pathologies. Overall, proteomics applications to brain cancers are in the earliest stages and the expanded use of these technologies holds enormous potential to improve our understanding of brain functions and pathologies.
© 2016 by The American Society for Biochemistry and Molecular Biology, Inc.

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Year:  2015        PMID: 26407994      PMCID: PMC4739660          DOI: 10.1074/mcp.R115.053884

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  38 in total

1.  Single-cell proteomic chip for profiling intracellular signaling pathways in single tumor cells.

Authors:  Qihui Shi; Lidong Qin; Wei Wei; Feng Geng; Rong Fan; Young Shik Shin; Deliang Guo; Leroy Hood; Paul S Mischel; James R Heath
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-27       Impact factor: 11.205

2.  DNA-encoded antibody libraries: a unified platform for multiplexed cell sorting and detection of genes and proteins.

Authors:  Ryan C Bailey; Gabriel A Kwong; Caius G Radu; Owen N Witte; James R Heath
Journal:  J Am Chem Soc       Date:  2007-01-30       Impact factor: 15.419

3.  Single-cell trajectory detection uncovers progression and regulatory coordination in human B cell development.

Authors:  Sean C Bendall; Kara L Davis; El-Ad David Amir; Michelle D Tadmor; Erin F Simonds; Tiffany J Chen; Daniel K Shenfeld; Garry P Nolan; Dana Pe'er
Journal:  Cell       Date:  2014-04-24       Impact factor: 41.582

4.  Cytometry by time-of-flight shows combinatorial cytokine expression and virus-specific cell niches within a continuum of CD8+ T cell phenotypes.

Authors:  Evan W Newell; Natalia Sigal; Sean C Bendall; Garry P Nolan; Mark M Davis
Journal:  Immunity       Date:  2012-01-27       Impact factor: 31.745

5.  SWATH analysis of the synaptic proteome in Alzheimer's disease.

Authors:  Rachel Yoon Kyung Chang; Naomi Etheridge; Amanda S Nouwens; Peter R Dodd
Journal:  Neurochem Int       Date:  2015-05-06       Impact factor: 3.921

6.  Quantitative proteomic analysis reveals effects of epidermal growth factor receptor (EGFR) on invasion-promoting proteins secreted by glioblastoma cells.

Authors:  Vineet Sangar; Cory C Funk; Ulrike Kusebauch; David S Campbell; Robert L Moritz; Nathan D Price
Journal:  Mol Cell Proteomics       Date:  2014-07-05       Impact factor: 5.911

7.  N- and O-glycosylation in the murine synaptosome.

Authors:  Jonathan C Trinidad; Ralf Schoepfer; Alma L Burlingame; Katalin F Medzihradszky
Journal:  Mol Cell Proteomics       Date:  2013-07-01       Impact factor: 5.911

8.  PI3K/AKT activation induces PTEN ubiquitination and destabilization accelerating tumourigenesis.

Authors:  Min-Sik Lee; Man-Hyung Jeong; Hyun-Woo Lee; Hyun-Ji Han; Aram Ko; Stephen M Hewitt; Jae-Hoon Kim; Kyung-Hee Chun; Joon-Yong Chung; Cheolju Lee; Hanbyoul Cho; Jaewhan Song
Journal:  Nat Commun       Date:  2015-07-17       Impact factor: 14.919

Review 9.  Aberrant methylation patterns in cancer: a clinical view.

Authors:  Alja Videtic Paska; Petra Hudler
Journal:  Biochem Med (Zagreb)       Date:  2015-06-05       Impact factor: 2.313

10.  The evidence of glioblastoma heterogeneity.

Authors:  Akio Soeda; Akira Hara; Takahiro Kunisada; Shin-ichi Yoshimura; Toru Iwama; Deric M Park
Journal:  Sci Rep       Date:  2015-01-27       Impact factor: 4.379

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  1 in total

1.  Neuroproteomics: How Many Angels can be Identified in an Extract from the Head of a Pin?

Authors:  Jeffery L Twiss; Mike Fainzilber
Journal:  Mol Cell Proteomics       Date:  2016-01-04       Impact factor: 5.911

  1 in total

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