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Identification of Three Novel Splicing Variants and Expression Analysis of Chicken GPR1 Gene.
- Source :
- BioMed Research International; 1/22/2017, Vol. 2017, p1-10, 10p
- Publication Year :
- 2017
-
Abstract
- GPR1 is a G protein-coupled receptor that plays critical roles in eukaryotic cells: typically, response to glucose stimulation, lipid accumulation, and transmitting nutrition signals to cAMP pathway. However, the alternative splicing of the GPR1 gene and its expression pattern in chicken tissues and ovarian follicles were unknown. In our current study, we used RACE-PCR to identify three GPR1 variants, including the full-length variant (GPR1-va1) and two alternatively spliced variants (GPR1-va2, GPR1-vb). Quantitative real-time PCR examined the expression pattern of GPR1 mRNA in chicken tissues and ovarian follicles. The result reveals that the coding sequence of the three variants cDNA is 1053, 1053, and 627 bp in length, encoding 350, 350, and 208 amino acids, respectively. The three variants of GPR1 show similar tissue distributions; GPR1 expression was abundant in the abdominal fat, lung, and heart. With the follicular development, the expression of GPR1 gene gradually increased, and GPR1-va1 and GPR1-va2 spliced variants expression in F2 were significantly higher than in F5, F4, and prehierarchical follicles (P<0.05). Taken together, we found three novel variants of GPR1, and the results of GPR1 expression profiling in adipose tissues and ovarian follicles suggest that GPR1 may play a significant role in the lipid accumulation and progression of follicular development. [ABSTRACT FROM AUTHOR]
- Subjects :
- AMINO acid analysis
DNA analysis
RNA analysis
ANIMAL experimentation
CELL receptors
ELECTROPHORESIS
BIOLOGICAL evolution
GENE expression
GENETICS
GENETIC techniques
LIPIDS
RESEARCH methodology
OVARIES
POLYMERASE chain reaction
POULTRY
PROBABILITY theory
RESEARCH funding
STATISTICS
TISSUE culture
DATA analysis
DATA analysis software
GENE expression profiling
DESCRIPTIVE statistics
SEQUENCE analysis
ONE-way analysis of variance
Subjects
Details
- Language :
- English
- ISSN :
- 23146133
- Volume :
- 2017
- Database :
- Complementary Index
- Journal :
- BioMed Research International
- Publication Type :
- Academic Journal
- Accession number :
- 120861679
- Full Text :
- https://doi.org/10.1155/2017/1074054