Literature DB >> 22496490

Transcriptional profiling of the bovine hepatic response to experimentally induced E. coli mastitis.

Hanne B H Jørgensen1, Bart Buitenhuis, Christine M Røntved, Li Jiang, Klaus L Ingvartsen, Peter Sørensen.   

Abstract

The mammalian liver works to keep the body in a state of homeostasis and plays an important role in systemic acute phase response to infections. In this study we investigated the bovine hepatic acute phase response at the gene transcription level in dairy cows with experimentally Escherichia coli-induced mastitis. At time = 0, each of 16 periparturient dairy cows received 20-40 colony-forming units of live E. coli in one front quarter of the udder. A time series of liver biopsies was collected at -144, 12, 24, and 192 h relative to time of inoculation. Changes in transcription levels in response to E. coli inoculation were analyzed using the Bovine Genome Array and tested significant for 408 transcripts over the time series [adjusted p ≤ 0.05, abs(fold-change) > 2]. After 2-D clustering, transcripts represented three distinct transcription profiles: 1) regulation of gene transcription and apoptosis, 2) responses to cellular stress invoked by reactive metabolites, and 3) metabolism and turnover of proteins. The results showed that the liver went through a period of perturbations to its normal homeostatic condition during the first 24 h following the E. coli-induced intra-mammary inflammation. In previous studies, bacterial lipopolysaccharide, LPS, was used for intramammary stimulation to mimic E. coli infection. Comparing responses to LPS and E. coli, induced biochemical processes were similar but not identical (94 and 85% similarity between corresponding samples at early and late acute phase, respectively), but their kinetics were not. A notable difference concerned transcription of factors associated with oxidative stress in E. coli-induced liver responses.

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Year:  2012        PMID: 22496490     DOI: 10.1152/physiolgenomics.00084.2011

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  7 in total

1.  Acute mammary and liver transcriptome responses after an intramammary Escherichia coli lipopolysaccharide challenge in postpartal dairy cows.

Authors:  Andrea Minuti; Zheng Zhou; Daniel E Graugnard; Sandra L Rodriguez-Zas; Alejandro R Palladino; Felipe C Cardoso; Erminio Trevisi; Juan J Loor
Journal:  Physiol Rep       Date:  2015-04

2.  Changes in various metabolic parameters in blood and milk during experimental Escherichia coli mastitis for primiparous Holstein dairy cows during early lactation.

Authors:  Kasey M Moyes; Torben Larsen; Peter Sørensen; Klaus L Ingvartsen
Journal:  J Anim Sci Biotechnol       Date:  2014-10-17

3.  Integrating Sequence-based GWAS and RNA-Seq Provides Novel Insights into the Genetic Basis of Mastitis and Milk Production in Dairy Cattle.

Authors:  Lingzhao Fang; Goutam Sahana; Guosheng Su; Ying Yu; Shengli Zhang; Mogens Sandø Lund; Peter Sørensen
Journal:  Sci Rep       Date:  2017-03-30       Impact factor: 4.379

4.  MicroRNA-guided prioritization of genome-wide association signals reveals the importance of microRNA-target gene networks for complex traits in cattle.

Authors:  Lingzhao Fang; Peter Sørensen; Goutam Sahana; Frank Panitz; Guosheng Su; Shengli Zhang; Ying Yu; Bingjie Li; Li Ma; George Liu; Mogens Sandø Lund; Bo Thomsen
Journal:  Sci Rep       Date:  2018-06-19       Impact factor: 4.379

5.  Identification of novel molecular markers of mastitis caused by Staphylococcus aureus using gene expression profiling in two consecutive generations of Chinese Holstein dairy cattle.

Authors:  Di Wang; Lei Liu; Serafino M A Augustino; Tao Duan; Thomas J Hall; David E MacHugh; Jinhuan Dou; Yi Zhang; Yachun Wang; Ying Yu
Journal:  J Anim Sci Biotechnol       Date:  2020-09-11

6.  The Impact of Intramammary Escherichia coli Challenge on Liver and Mammary Transcriptome and Cross-Talk in Dairy Cows during Early Lactation Using RNAseq.

Authors:  K M Moyes; P Sørensen; M Bionaz
Journal:  PLoS One       Date:  2016-06-23       Impact factor: 3.240

7.  Hepatic Transcriptome Analysis Identifies Divergent Pathogen-Specific Targeting-Strategies to Modulate the Innate Immune System in Response to Intramammary Infection.

Authors:  Annika Heimes; Johanna Brodhagen; Rosemarie Weikard; Hans-Martin Seyfert; Doreen Becker; Marie M Meyerholz; Wolfram Petzl; Holm Zerbe; Martina Hoedemaker; Laura Rohmeier; Hans-Joachim Schuberth; Marion Schmicke; Susanne Engelmann; Christa Kühn
Journal:  Front Immunol       Date:  2020-04-29       Impact factor: 7.561

  7 in total

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