Advertisement
MCP
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
QUICK SEARCH:   [advanced]


     

Originally published In Press as doi:10.1074/mcp.R500011-MCP200 on March 1, 2005.
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Supplemental Data
Right arrow All Versions of this Article:
R500011-MCP200v1
4/4/458    most recent
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Glossary
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Maziarz, M.
Right arrow Articles by Emili, A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Maziarz, M.
Right arrow Articles by Emili, A.
Social Bookmarking
Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?

Molecular & Cellular Proteomics 4:458-474, 2005.
© 2005 by The American Society for Biochemistry and Molecular Biology, Inc.

Review

Integrating Global Proteomic and Genomic Expression Profiles Generated from Islet {alpha} Cells

Opportunities and Challenges to Deriving Reliable Biological Inferences*,S

Marlena Maziarz{ddagger},§,¶, Clement Chung||,¶, Daniel J. Drucker{ddagger},§ and Andrew Emili||,**,{ddagger}{ddagger}

From the {ddagger} Banting and Best Diabtetes Centre, University of Toronto, Toronto, Ontario, Canada; § Department of Medicine, Toronto General Hospital, Toronto, Ontario, Canada; and || Program in Proteomics and Bioinformatics, Banting and Best Department of Medical Research, University of Toronto, Toronto, Ontario M5G 1L6, Canada

Systematic profiling of expressed gene products represents a promising research strategy for elucidating the molecular phenotypes of islet cells. To this end, we have combined complementary genomic and proteomic methods to better assess the molecular composition of murine pancreatic islet glucagon-producing {alpha}TC-1 cells as a model system, with the expectation of bypassing limitations inherent to either technology alone. Gene expression was measured with an Affymetrix MG_U74Av2 oligonucleotide array, while protein expression was examined by performing high-resolution gel-free shotgun MS/MS on a nuclear-enriched cell extract. Both analyses were carried out in triplicate to control for experimental variability. Using a stringent detection p value cutoff of 0.04, 48% of all potential mRNA transcripts were predicted to be expressed (probes classified as present in at least two of three replicates), while 1,651 proteins were identified with high-confidence using rigorous database searching. Although 762 of 888 cross-referenced cognate mRNA-protein pairs were jointly detected by both platforms, a sizeable number (126) of gene products was detected exclusively by MS alone. Conversely, marginal protein identifications often had convincing microarray support. Based on these findings, we present an operational framework for both interpreting and integrating dual genomic and proteomic datasets so as to obtain a more reliable perspective into islet {alpha} cell function.

{ddagger}{ddagger} To whom correspondence should be addressed: CH Best Institute, Room 402, 112 College Street, Toronto, Ontario, Canada M5G 1L6. Tel.: 416-946-7281; Fax: 416-978-8528; E-mail: andrew.emili{at}utoronto.ca


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?


This article has been cited by other articles:


Home page
 Hum Mol GenetHome page
J. H. Lee, B. Bugarija, E. J. Millan, N. M. Walton, J. Gaetz, C. J. Fernandes, W.-H. Yu, N. Mekel-Bobrov, T. W. Vallender, G. E. Snyder, et al.
Systematic identification of cis-silenced genes by trans complementation
Hum. Mol. Genet., March 1, 2009; 18(5): 835 - 846.
[Abstract] [Full Text] [PDF]

Home page
 Mol. Cell. ProteomicsHome page
A. J. K. Williamson, D. L. Smith, D. Blinco, R. D. Unwin, S. Pearson, C. Wilson, C. Miller, L. Lancashire, G. Lacaud, V. Kouskoff, et al.
Quantitative Proteomics Analysis Demonstrates Post-transcriptional Regulation of Embryonic Stem Cell Differentiation to Hematopoiesis
Mol. Cell. Proteomics, March 1, 2008; 7(3): 459 - 472.
[Abstract] [Full Text] [PDF]

Home page
 J. Lipid Res.Home page
T. A. Drake and P. Ping
Thematic review series: Systems Biology Approaches to Metabolic and Cardiovascular Disorders. Proteomics approaches to the systems biology of cardiovascular diseases
J. Lipid Res., January 1, 2007; 48(1): 1 - 8.
[Abstract] [Full Text] [PDF]

Home page
 Proc. Natl. Acad. Sci. USAHome page
P. D. Mack, A. Kapelnikov, Y. Heifetz, and M. Bender
Mating-responsive genes in reproductive tissues of female Drosophila melanogaster
PNAS, July 5, 2006; 103(27): 10358 - 10363.
[Abstract] [Full Text] [PDF]

Home page
 Mol. Cell. ProteomicsHome page
A. I. Nesvizhskii and R. Aebersold
Interpretation of Shotgun Proteomic Data: The Protein Inference Problem
Mol. Cell. Proteomics, October 1, 2005; 4(10): 1419 - 1440.
[Abstract] [Full Text] [PDF]


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 All ASBMB Journals   Journal of Biological Chemistry 
 Journal of Lipid Research   ASBMB Today 
Copyright © 2005 by the American Society for Biochemistry and Molecular Biology.
Advertisement
spacer
Advertisement
Advertisement