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Gregory Michaud

Publications and source records attributed to Gregory Michaud.

6 recordsLinked to original sources

Global analysis of protein phosphorylation in yeast.

Protein phosphorylation is estimated to affect 30% of the proteome and is a major regulatory mechanism that controls many basic cellular processes. Until recently, our biochemical understanding of protein phosphorylation on a global scale has been extremely limited; only one half of the yeast kinases have known in vivo substrates and the phosphorylating kinase is known for less than 160 phosphoproteins. Here we describe, with the use of proteome chip technology, the in vitro substrates recognized by most yeast protein kinases: we identified over 4,000 phosphorylation events involving 1,325 different proteins. These substrates represent a broad spectrum of different biochemical functions and cellular roles. Distinct sets of substrates were recognized by each protein kinase, including closely related kinases of the protein kinase A family and four cyclin-dependent kinases that vary only in their cyclin subunits. Although many substrates reside in the same cellular compartment or belong to the same functional category as their phosphorylating kinase, many others do not, indicating possible new roles for several kinases. Furthermore, integration of the phosphorylation results with protein-protein interaction and transcription factor binding data revealed novel regulatory modules. Our phosphorylation results have been assembled into a first-generation phosphorylation map for yeast. Because many yeast proteins and pathways are conserved, these results will provide insights into the mechanisms and roles of protein phosphorylation in many eukaryotes.

Eukaryotic Cells↗

Biomarker discovery using protein microarray technology platforms: antibody-antigen complex profiling.

Protein microarrays represent an important new tool in proteomic systems biology. This review focuses on the contributions of protein microarrays to the discovery of novel disease biomarkers through antibody-based assays. Of particular interest is the use of protein microarrays for immune response profiling, through which a disease-specific antibody repertoire may be defined. The antigens and antibodies revealed by these studies are useful for clinical assay development, with enormous potential to aid in diagnosis, prognosis, disease staging and treatment selection. The discovery and characterization of novel biomarkers specifically tailored to disease type and stage are expected to enable personalized medicine by facilitating preventative medicine, predictive diagnostics and individualized curative therapies.

Allergens↗

Protein microarrays: a new tool for profiling antibody cross-reactivity.

Antibody cross-reactivity can compromise interpretation of experiments and derail therapeutic antibody development. Standard techniques such as immunohistochemistry or Western analysis provide important but often inadequate approaches to assess antibody specificity. Protein microarrays are providing a new approach to rapidly characterize antibody cross-reactivity against 1,000s of proteins simultaneously. This review will focus on reported examples of antibody cross-reactivity, methods used to characterize them, and the recent development and use of protein microarrays for assessing antibody specificity.

Animals↗

Effectiveness of early implantation of cardioverter defibrillator for postoperative ventricular tachyarrhythmia.

The effectiveness of implantable cardioverter defibrillators (ICDs) implanted in the early postoperative period after cardiac surgery for ventricular tachyarrhythmias is unknown, because all of the major trials excluded this patient population. Thus, a 10-year retrospective study was conducted of patients who had ICDs implanted for de novo postoperative ventricular tachyarrhythmias during the index admission for cardiac surgery. There was a high rate of early recurrence of ventricular tachyarrhythmia treated by defibrillators, and this finding questions the exclusion of this important patient population from large trials.

Aged↗