PUBLICATION

Developmental expression patterns of protein kinase A catalytic subunits in zebrafish

Authors
Emerson, S.E., Grebber, B.K., McNelllis, M., Orr, A.R., Deming, P.B., Ebert, A.M.
ID
ZDB-PUB-181127-59
Date
2018
Source
Gene expression patterns : GEP   31: 1-6 (Journal)
Registered Authors
Keywords
Catalytic subunit, Gene expression, In situ hybridization, Neuronal, PKA
MeSH Terms
  • Animals
  • Cyclic AMP-Dependent Protein Kinases/genetics*
  • Cyclic AMP-Dependent Protein Kinases/metabolism
  • Gene Expression Regulation, Developmental*
  • Isoenzymes/genetics
  • Isoenzymes/metabolism
  • Nervous System/embryology
  • Nervous System/metabolism
  • Protein Subunits/genetics
  • Protein Subunits/metabolism
  • Zebrafish
  • Zebrafish Proteins/genetics*
  • Zebrafish Proteins/metabolism
PubMed
30468770 Full text @ Gene Expr. Patterns
Abstract
Protein kinase A (PKA), also known as cAMP dependent protein kinase, is an essential component of many signaling pathways, many of which regulate key developmental processes. Inactive PKA is a tetrameric holoenzyme, comprised of two catalytic (PRKAC), and two regulatory subunits. Upon cAMP binding, the catalytic subunits are released and thereby activated. There are multiple isoforms of PKA catalytic subunits, but their individual roles are not well understood. In order to begin studying their roles in zebrafish development, it is first necessary to identify the spatial and temporal expression profiles for each prkac subunit. Here we evaluate the expression profiles for the four zebrafish prkacs: prkacαa, αb, βa, and βb, at key developmental time points: 24, 48 and 72 h post fertilization. We show that zebrafish prkacs are expressed throughout the developing nervous system, each showing unique expression patterns. This body of work will inform future functional studies into the roles of PKA during development.
Genes / Markers
Figures
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Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Antibodies
Orthology
Engineered Foreign Genes
Mapping