Literature DB >> 24315321

Technical note: Selecting the best references in gene expression experiments in liver of cows receiving glucogenic supplements during the transition period.

M Ostrowska1, B Żelazowska2, K Słoniewski2, Z M Kowalski3, L Zwierzchowski2.   

Abstract

Measuring gene expression is a commonly used method to monitor the reaction of cells and tissues to changing nutritional or physiological conditions. Selection of appropriate reference genes is a crucial point in gene expression experiments using real-time PCR techniques. Expression of the "ideal" reference gene should not be affected by the experimental treatments or physiological state of the tissue, organ, or the whole organism. Many programs are available from which to choose the most stable reference gene. In this study, 4 algorithms--ΔCt, BestKeeper, NormFinder, and geNorm--were used to assess the expression stability of 5 candidate reference genes: β-actin (ACTB), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), ribosomal protein S9 (RPS9), ribosomal protein L32 (RPL32), and TATA-box-binding protein (TBP), for use in an experiment aimed at measuring gene expression in the liver of cows fed glucogenic supplements in the transition from pregnancy to lactation. The results demonstrated that RPS9 and RPL32 were the most stably expressed in the liver under the conditions of the present experiment; the least stably expressed was ACTB.
Copyright © 2014 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  glucogenic supplement; liver; reference gene; transition period

Mesh:

Year:  2013        PMID: 24315321     DOI: 10.3168/jds.2013-7220

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  2 in total

1.  The effect of immunological status, in-vitro treatment and culture time on expression of eleven candidate reference genes in bovine blood mononuclear cells.

Authors:  Mehdi Emam; Kathleen Thompson-Crispi; Bonnie Mallard
Journal:  BMC Immunol       Date:  2015-05-30       Impact factor: 3.615

2.  Transcriptome Analysis Reveals that Vitamin A Metabolism in the Liver Affects Feed Efficiency in Pigs.

Authors:  Yunxia Zhao; Ye Hou; Fei Liu; An Liu; Lu Jing; Changzhi Zhao; Yu Luan; Yuanxin Miao; Shuhong Zhao; Xinyun Li
Journal:  G3 (Bethesda)       Date:  2016-11-08       Impact factor: 3.154

  2 in total

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