Transcriptomics

Dataset Information

0

Molecular regulation of photoinduced seasonal changes in Japanese Quail (Coturnix japonica) energy rheostasis.


ABSTRACT: The neuroendocrine regulation of seasonal energy homeostasis and rheostasis are widely studied. However, the molecular pathways underlying tissue-specific adaptations remain poorly described. We conducted an experiment to examine long-term rheostatic changes in energy stability using the well-characterized photoperiodic response of the Japanese quail. We exposed quails to photoperiodic transitions simulating the annual photic cycle and examined the morphology and fat deposition in liver, and white adipose tissue. To identify molecular substrates during the vernal transition in lipid accumulation, we conducted transcriptomic analyses of white adipose and liver tissues. We identified transcripts involved in adipocyte growth (Cysteine Rich Angiogenic Inducer 61, Very Low Density Lipoprotein Receptor) and obesity-linked disease resistance (Insulin-Like Growth Factor Binding Protein 2, Apolipoprotein D) increase expression in anticipation of body mass gain. In the liver, under long photoperiods, transcripts involved in fatty acid (FA) synthesis (Fatty Acid Synthase, Fatty Acid Desaturase 2) were down-regulated. Parallel upregulation of hepatic Fatty Acid Translocase and Pyruvate Dehydrogenase Kinase 4 expression suggests increased circulatory FA uptake and a switch from glucose to FA utilization. Overall, we have identified tissue-specific biochemical and molecular changes that drive photoperiod-induced adipogenesis in quails. These findings can be use to determine conserved pathways that enable animals to accumulate fat without developing metabolic diseases.

ORGANISM(S): Coturnix japonica

PROVIDER: GSE270939 | GEO | 2024/07/01

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2015-07-01 | E-GEOD-63198 | biostudies-arrayexpress
2014-01-08 | E-GEOD-50424 | biostudies-arrayexpress
2015-07-01 | GSE63198 | GEO
2023-05-31 | MSV000092073 | MassIVE
2016-05-18 | E-GEOD-73290 | biostudies-arrayexpress
2023-05-10 | PXD039894 | Pride
2023-02-10 | PXD033508 | Pride
2022-10-13 | GSE183239 | GEO
2024-08-29 | GSE262618 | GEO
2010-06-08 | E-GEOD-21952 | biostudies-arrayexpress