Johnathon Li
University of California, Davis
12 Papers
16 Citations
Johnathon Li is an academic researcher from University of California, Davis. The author has contributed to research in topics: Proteome & Gill. The author has an hindex of 6, co-authored 12 publications.
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Papers
Quantitative Molecular Phenotyping of Gill Remodeling in a Cichlid Fish Responding to Salinity Stress
TL;DR: Molecular phenotyping reveals novel insight into proteome changes that underlie the remodeling of tilapia gill epithelium in response to environmental salinity change, and has been identified as a novel key component of molecular phenotype restructuring during salinity-induced gill remodeling.
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Derivation and Osmotolerance Characterization of Three Immortalized Tilapia (Oreochromis mossambicus) Cell Lines
TL;DR: The newly established tilapia cells lines represent valuable tools for studying molecular mechanisms involved in the osmotic stress response of euryhaline fish.
Development of a Gill Assay Library for Ecological Proteomics of Threespine Sticklebacks (Gasterosteus aculeatus).
TL;DR: The results reported reveal that this assay library provides comprehensive insight into population-specific stickleback gill proteomes, and paves the way for accurate and reproducible network analyses of environmental context-dependent proteome dynamics in complex organisms.
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Population-specific renal proteomes of marine and freshwater three-spined sticklebacks.
TL;DR: A dense biochemical network was revealed, which promotes the synthesis of the organic osmolytes betaine, sorbitol, trimethylamine oxid (TMAO), and urea, and demonstrates significantly higher levels of synchronized abundance control in marine sticklebacks.
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Population‐specific plasma proteomes of marine and freshwater three‐spined sticklebacks (Gasterosteus aculeatus)
Dietmar Kültz,Johnathon Li,Xuezhen Zhang,Xuezhen Zhang,Fernando Villarreal,Tuan Pham,Darlene Paguio +6 more
TL;DR: Molecular phenotypes that distinguish resident marine three‐spined sticklebacks from landlocked freshwater and the identification of population‐specific environmental contexts and selective pressures that cause plasma proteome diversification are revealed by label‐free quantitative proteomics.
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