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Christopher M. Overall

Researcher at University of British Columbia

Publications -  314
Citations -  31412

Christopher M. Overall is an academic researcher from University of British Columbia. The author has contributed to research in topics: Matrix metalloproteinase & Proteases. The author has an hindex of 90, co-authored 302 publications receiving 28860 citations. Previous affiliations of Christopher M. Overall include University of Toronto & Canadian Institutes of Health Research.

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Journal ArticleDOI

Traumatic brain injury induced matrix metalloproteinase2 cleaves CXCL12α (stromal cell derived factor 1α) and causes neurodegeneration.

TL;DR: It is hypothesized that TBI leads to MMP2 activation and cleavage of the N-terminal 4 amino acid residues of CXCL12α with generation of the highly neurotoxic fragment SDF-1(5-67), and the cleaved form of SDF leads to apoptotic cell death in neurons.
Journal ArticleDOI

Absolute proteomic quantification of the activity state of proteases and proteolytic cleavages using proteolytic signature peptides and isobaric tags.

TL;DR: A method for the absolute quantification of proteolysis that is compatible with existing quantitative proteomic applications and could be applied on a protein-family wide scale is described.
Book ChapterDOI

Identification of cellular MMP substrates using quantitative proteomics: isotope-coded affinity tags (ICAT) and isobaric tags for relative and absolute quantification (iTRAQ).

TL;DR: Two protein labeling techniques, Isotope-Coded Affinity Tags (ICAT and Isobaric Tags for Relative and Absolute Quantification (iTRAQ) are used successfully to identify novel matrix metalloproteinase (MMP) substrates in cell culture systems.
Journal ArticleDOI

Precision De Novo Peptide Sequencing Using Mirror Proteases of Ac-LysargiNase and Trypsin for Large-scale Proteomics.

TL;DR: The developed acetylated LysargiNase, with superior activity and stability, provides complementary ion types compared with trypsin for MS/MS analysis and a novel de novo sequencing algorithm, pNovoM, which performed with higher efficiency and accuracy compared with other software tools.