Plasma proteomic profiling of bacterial cold-water disease-resistant and -susceptible rainbow trout lines and biomarker discovery
Ontology highlight
ABSTRACT:
INSTRUMENT(S): Orbitrap Fusion
ORGANISM(S): Danio Rerio (zebrafish) (brachydanio Rerio)
TISSUE(S): Blood Plasma
SUBMITTER: 
Sheng Zhang
LAB HEAD: Sheng Zhang
PROVIDER: PXD041308 | Pride | 2023-10-13
REPOSITORIES: Pride
Dataset's files
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| Dave10314447Set1_F1.raw | Raw | |||
| Dave10314447Set1_F10.raw | Raw | |||
| Dave10314447Set1_F2.raw | Raw | |||
| Dave10314447Set1_F3.raw | Raw | |||
| Dave10314447Set1_F4.raw | Raw |
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2020-04-30 | E-MTAB-8959 | biostudies-arrayexpress
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2015-02-18 | E-GEOD-65990 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the SubSeries listed below. Growth in fishes is a complex trait, controlled by both genetic and environmental factors, that impacts many components of fitness. Gene expression studies may lead to the identification of candidate genes for growth and microarrays offer the opportunity to examine the expression of thousands of genes simultaneously. Gene expression differences in the liver and white muscle were examined in normally growing, 15 month-old, large and small size-selected rainbow trout (Oncorhynchus mykiss) derived from two different seasonal spawning groups (Sept. and Dec.). Examination of the gene expression differences in both liver and white muscle tissue allowed us to assess the seasonal influences upon gene expression patterns that occur in this species, and facilitated the identification of genes that may possess similar expression patterns regardless of seasonal effects. The analysis of global gene expression in large and small fish reared under standard conditions provides an understanding of typical growth patterns that may be observed in this species. The identification of candidate genes by this study may provide insight into the mechanisms of growth in fishes and may help to identify candidate genes for growth.
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