Publications by authors named "S P Schrimpf"

Article Synopsis
  • Complex traits are influenced by multiple genes and signaling pathways, such as apoptosis and MAPK, but how genetic variation affects these pathways at the translation level is not well understood.
  • This study used Caenorhabditis elegans to investigate how natural genetic variation impacts protein levels in key developmental signaling pathways through QTL mapping.
  • The findings revealed that about half of the tested genes showed significant changes in protein abundance, highlighting the role of genetic variation in affecting signaling pathways and phenotypic outcomes.
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Natural genetic variation is the raw material of evolution and influences disease development and progression. An important question is how this genetic variation translates into variation in protein abundance. To analyze the effects of the genetic background on gene and protein expression in the nematode Caenorhabditis elegans, we quantitatively compared the two genetically highly divergent wild-type strains N2 and CB4856.

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Model organisms are an important tool for the development and validation of analytical approaches for proteomics and for the study of basic mechanisms of biological processes. The Initiative on Model Organism Proteomics (iMOP) organized a session during the 11th HUPO World Congress in Boston in 2012, highlighting the potential of proteomics studies in model organism for the elucidation of important mechanisms regulating the interaction of humans with its environment. Major subjects were the use of model organisms for the study of molecular events triggering the interaction of host organisms with the surrounding microbiota and the elucidation of the complex influence of nutrition on the health of human beings.

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Article Synopsis
  • * The database compiles extensive phenotypic, molecular, and genotypic data from various C. elegans strains and different developmental stages, facilitating genotype-phenotype studies and association mapping.
  • * WormQTL supports easy data upload and download in common formats and is accessible to both biologists and bioinformaticians, encouraging contributions from researchers in the field.
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