Christoph H. Borchers

Prof. Dr. Christoph H. Borchers

Department Oncology, Faculty of Medicine, McGill University, Montreal, QC H3G 1Y6, Canada
orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2015 in Analytica Chimica Acta
Verified
Journal Article
Closed access
JHJun Han
Jun Han
KLKaren Lin
Karen Lin
CSCarita Sequeira
Carita Sequeira
Christoph H. BorchersChristoph H. Borchers
Christoph H. Borchers

1 August 2009 in Molecular & Cellular Proteomics
Verified
Journal Article
Open access
PDF file
MKMichael A. Kuzyk
Michael A. Kuzyk
DSDerek Smith
Derek Smith
JYJuncong Yang
Juncong Yang
TCTyra J. Cross
Tyra J. Cross
AJAngela M. Jackson
Angela M. Jackson
Christoph H. BorchersChristoph H. Borchers
Christoph H. Borchers
Mass spectrometry-based multiple reaction monitoring (MRM) quantitation of proteins can dramatically impact the discovery and quantitation of biomarkers via rapid, targeted, multiplexed protein expression profiling of clinical samples. A mixture of 45 peptide standards, easily adaptable to common plasma proteomics work flows, was created to permit absolute quantitation of 45 endogenous proteins in human plasma trypsin digests. All experiments were performed on simple tryptic digests of human EDTA-plasma without prior affinity depletion or enrichment. Stable isotope-labeled standard peptides were added immediately following tryptic digestion because addition of stable isotope-labeled standard peptides prior to trypsin digestion was found to generate elevated and unpredictable results. Proteotypic tryptic peptides containing isotopically coded amino acids ([13C6]Arg or [13C6]Lys) were synthesized for all 45 proteins. Peptide purity was assessed by capillary zone electrophoresis, and the peptide quantity was determined by amino acid analysis. For maximum sensitivity and specificity, instrumental parameters were empirically determined to generate the most abundant precursor ions and y ion fragments. Concentrations of individual peptide standards in the mixture were optimized to approximate endogenous concentrations of analytes and to ensure the maximum linear dynamic range of the MRM assays. Excellent linear responses (r > 0.99) were obtained for 43 of the 45 proteins with attomole level limits of quantitation (<20% coefficient of variation) for 27 of the 45 proteins. Analytical precision for 44 of the 45 assays varied by <10%. LC-MRM/MS analyses performed on 3 different days on different batches of plasma trypsin digests resulted in coefficients of variation of <20% for 42 of the 45 assays. Concentrations for 39 of the 45 proteins are within a factor of 2 of reported literature values. This mixture of internal standards has many uses and can be applied to the characterization of trypsin digestion kinetics and plasma protein expression profiling because 31 of the 45 proteins are putative biomarkers of cardiovascular disease.

19 August 2010 in Journal of Proteome Research
Verified
Journal Article
Closed access
JPJennifer L. Proc
Jennifer L. Proc
MKMichael A. Kuzyk
Michael A. Kuzyk
DHDarryl B. Hardie
Darryl B. Hardie
JYJuncong Yang
Juncong Yang
DSDerek S. Smith
Derek S. Smith
Christoph H. BorchersChristoph H. Borchers
Christoph H. Borchers

20 March 2014 in Molecular Oncology
Verified
Journal Article
Open access
CPCarol E. Parker
Carol E. Parker
Christoph H. BorchersChristoph H. Borchers
Christoph H. Borchers
In its early years, mass spectrometry (MS)‐based proteomics focused on the cataloging of proteins found in different species or different tissues. By 2005, proteomics was being used for protein quantitation, typically based on “proteotypic” peptides which act as surrogates for the parent proteins. Biomarker discovery is usually done by non‐targeted “shotgun” proteomics, using relative quantitation methods to determine protein expression changes that correlate with disease (output given as “up‐or‐down regulation” or “fold‐increases”). MS‐based techniques can also perform “absolute” quantitation which is required for clinical applications (output given as protein concentrations). Here we describe the differences between these methods, factors that affect the precision and accuracy of the results, and some examples of recent studies using MS‐based proteomics to verify cancer‐related biomarkers.

2 December 2009 in Journal of Mass Spectrometry
Verified
Journal Article
Closed access
PDF file
MEMonica H. Elliott
Monica H. Elliott
DSDerek S. Smith
Derek S. Smith
CPCarol E. Parker
Carol E. Parker
Christoph H. BorchersChristoph H. Borchers
Christoph H. Borchers

1 April 2012 in Proteomics
Verified
Journal Article
Closed access
PDF file
DDDominik Domanski
Dominik Domanski
APAndrew J. Percy
Andrew J. Percy
JYJuncong Yang
Juncong Yang
ACAndrew G. Chambers
Andrew G. Chambers
JHJohn S. Hill
John S. Hill
Christoph H. BorchersChristoph H. Borchers
Christoph H. Borchers