Prolactin (PRL) effects are mediated by membrane receptors (PRLR) of which the long (PRLR-L) and short form (PRLR-S) predominate. Our objective was to compare the distribution pattern of PRLR-L and PRLR-S transcripts and their ratio in adipose (AD), liver (LV), mammary (MG) and pituitary (PG) tissues of stationary (SC, n = 8) and hypergravity (HG, n = 8) exposed periparturient rats. Pregnant rats were exposed to 2 g force from day 11 of gestation (G11) through post partum day 1 (P1). PRLR-L mRNA expression compared to PRLR-S was greater (P < 0.001) in AD, MG and PG but was lower (P < 0.001) in LV in both HG and SC animals at P1. The ratio of PRLR-L/PRLR-S mRNA in the AD, LV, MG and PG was not different between HG and SC rats. In summary, these data reveal that the hypergravity-induced downregulation of PRLR is not directly triggered by deranged distribution of PRLR isoforms.

Download full-text PDF

Source

Publication Analysis

Top Keywords

tissue-specific variation
4
variation expression
4
expression prolactin
4
prolactin receptor
4
receptor gene
4
gene subtypes
4
subtypes hypergravity-exposed
4
rats
4
hypergravity-exposed rats
4
rats prolactin
4

Similar Publications

Unlabelled: Although tryptophan (Trp) is the largest and most structurally complex amino acid, it is the least abundant in the proteome. Its distinct indole ring and high carbon content enable it to generate various biologically active metabolites such as serotonin, kynurenine (Kyn), and indole-3-pyruvate (I3P). Dysregulation of Trp metabolism has been implicated in diseases ranging from depression to cancer.

View Article and Find Full Text PDF

Brassica villosa is characterized by its dense hairiness and high resistance against the fungal pathogen Sclerotinia sclerotiorum. Information on the genetic and molecular mechanisms governing trichome development in B. villosa is rare.

View Article and Find Full Text PDF

Comprehensive multi-tissue epigenome atlas in sheep: A resource for complex traits, domestication, and breeding.

Imeta

December 2024

State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Afairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology Lanzhou University Lanzhou China.

Article Synopsis
  • The study highlights the need for a comprehensive functional annotation of the sheep genome to better understand agronomic traits, particularly regarding tail fat weight.
  • Researchers created an extensive dataset combining transcriptomic, epigenomic, whole-genome, and phenotypic data across multiple sheep breeds, identifying over 750,000 functional elements, with 60% being novel.
  • Key findings include tissue-specific regulatory elements related to sensory and immune functions and a specific genetic variant linked to tail fat deposition, paving the way for future complex trait studies in sheep.
View Article and Find Full Text PDF

Quantifying the regulatory potential of genetic variants via a hybrid sequence-oriented model with SVEN.

Nat Commun

December 2024

State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Biomedical Pioneering Innovative Center (BIOPIC) and Beijing Advanced Innovation Center for Genomics (ICG), Center for Bioinformatics (CBI), Peking University, 100871, Beijing, China.

Deciphering how noncoding DNA determines gene expression is critical for decoding the functional genome. Understanding the transcription effects of noncoding genetic variants are still major unsolved problems, which is critical for downstream applications in human genetics and precision medicine. Here, we integrate regulatory-specific neural networks and tissue-specific gradient-boosting trees to build SVEN: a hybrid sequence-oriented architecture that can accurately predict tissue-specific gene expression level and quantify the tissue-specific transcriptomic impacts of structural variants across more than 350 tissues and cell lines.

View Article and Find Full Text PDF

RNA sequencing (RNA-seq) is widely adopted for transcriptome analysis but has inherent biases that hinder the comprehensive detection and quantification of alternative splicing. To address this, we present an efficient targeted RNA-seq method that greatly enriches for splicing-informative junction-spanning reads. Local splicing variation sequencing (LSV-seq) utilizes multiplexed reverse transcription from highly scalable pools of primers anchored near splicing events of interest.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!