Publications by authors named "Steve Michel"

Article Synopsis
  • GrainGenes is a key USDA database that supports global research on small grains like wheat, barley, rye, and oats, focusing on genetic improvement and community needs.
  • The platform enhances its data by following standards for accessibility and interoperability, provides an intuitive interface, and integrates with other biological databases for better research outcomes.
  • With over 2,900 curated gene records and extensive gene models and maps, GrainGenes continuously updates its resources, including tutorials on YouTube to help users navigate its data effectively.*
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Although absconsion from secure forensic settings is uncommon, it can have serious consequences for the patient, the hospital, and the public. To assess risk of absconding in this population, using empirically based literature and clinical expertise, the authors designed a 28-item structured professional judgment measure, the Booth Evaluation of Absconding Tool (BEAT). To evaluate the psychometric properties of the BEAT, we completed a blinded, case-matched, retrospective study of absconders ( = 57) and non-absconders ( = 26) between 2009 and 2017.

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Article Synopsis
  • GrainGenes is a global online resource that offers curated datasets on wheat, barley, rye, and oats, aiding researchers in their studies since 1992.
  • The platform has recently updated its interface and added new datasets, tools for data analysis, and enhanced genome assemblies for various crops.
  • GrainGenes also provides training materials and advanced tools like GSP and PIECE2 to facilitate user access and research in crop improvement.
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Triosephosphate isomerase (TPI) deficiency is a fatal genetic disorder characterized by hemolytic anemia and neurological dysfunction. Although the enzyme defect in TPI was discovered in the 1960s, the exact etiology of the disease is still debated. Some aspects indicate the disease could be caused by insufficient enzyme activity, whereas other observations indicate it could be a protein misfolding disease with tissue-specific differences in TPI activity.

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The regulation of gene expression in response to nutrient availability is fundamental to the genotype-phenotype relationship. The metabolic-genetic make-up of the cell, as reflected in auxotrophy, is hence likely to be a determinant of gene expression. Here, we address the importance of the metabolic-genetic background by monitoring transcriptome, proteome and metabolome in a repertoire of 16 Saccharomyces cerevisiae laboratory backgrounds, combinatorially perturbed in histidine, leucine, methionine and uracil biosynthesis.

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Background: Studying the survival of yeast in stationary phase, known as chronological lifespan, led to the identification of molecular ageing factors conserved from yeast to higher organisms. To identify functional interactions among yeast chronological ageing genes, we conducted a haploproficiency screen on the basis of previously identified long-living mutants. For this, we created a library of heterozygous Saccharomyces cerevisiae double deletion strains and aged them in a competitive manner.

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There is growing evidence that the metabolic network is an integral regulator of cellular physiology. Dynamic changes in metabolite concentrations, metabolic flux, or network topology act as reporters of biological or environmental signals, and are required for the cell to trigger an appropriate biological reaction. Changes in the metabolic network are recognized by specific sensory macromolecules and translated into a transcriptional or translational response.

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The combination of functional genomics with next generation sequencing facilitates new experimental strategies for addressing complex biological phenomena. Here, we report the identification of a gain-of-function allele of peroxiredoxin (thioredoxin peroxidase, Tsa1p) via whole-genome re-sequencing of a dominantSaccharomyces cerevisiae mutant obtained by chemical mutagenesis. Yeast strain K6001, a screening system for lifespan phenotypes, was treated with ethyl methanesulfonate (EMS).

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Synopsis of recent research by authors named "Steve Michel"

  • Steve Michel's research focuses on genetics and genomics, with significant contributions to the field of small grains genetics as evidenced by his work on the GrainGenes database, which serves as a vital resource for geneticists and breeders.
  • His studies also address psychometric evaluations in forensic settings, specifically developing and validating tools to assess the risk of patient absconding, highlighting the importance of empirical data in mental health assessments.
  • Additionally, Michel investigates metabolic processes and gene expression in model organisms such as Saccharomyces cerevisiae, exploring the interactions between genetic backgrounds and metabolic states, which informs broader understandings of gene regulation and aging.