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Development and evaluation of a milk protein transcript depletion method for differential transcriptome analysis in mammary gland tissue
BACKGROUND: In the mammary gland transcriptome of lactating dairy cows genes encoding milk proteins are highly abundant, which can impair the detection of lowly expressed transcripts and can bias the outcome in global transcriptome analyses. Therefore, the aim of this study was to develop and evalua...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6530097/ https://www.ncbi.nlm.nih.gov/pubmed/31117949 http://dx.doi.org/10.1186/s12864-019-5781-3 |
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author | Brodhagen, Johanna Weikard, Rosemarie Thom, Ulrike Heimes, Annika Günther, Juliane Hadlich, Frieder Zerbe, Holm Petzl, Wolfgang Meyerholz, Marie M. Hoedemaker, Martina Schuberth, Hans-Joachim Engelmann, Susanne Kühn, Christa |
author_facet | Brodhagen, Johanna Weikard, Rosemarie Thom, Ulrike Heimes, Annika Günther, Juliane Hadlich, Frieder Zerbe, Holm Petzl, Wolfgang Meyerholz, Marie M. Hoedemaker, Martina Schuberth, Hans-Joachim Engelmann, Susanne Kühn, Christa |
author_sort | Brodhagen, Johanna |
collection | PubMed |
description | BACKGROUND: In the mammary gland transcriptome of lactating dairy cows genes encoding milk proteins are highly abundant, which can impair the detection of lowly expressed transcripts and can bias the outcome in global transcriptome analyses. Therefore, the aim of this study was to develop and evaluate a method to deplete extremely highly expressed transcripts in mRNA from lactating mammary gland tissue. RESULTS: Selective RNA depletion was performed by hybridization of antisense oligonucleotides targeting genes encoding the caseins (CSN1S1, CSN1S2, CSN2 and CSN3) and whey proteins (LALBA and PAEP) within total RNA followed by RNase H-mediated elimination of the respective transcripts. The effect of the RNA depletion procedure was monitored by RNA sequencing analysis comparing depleted and non-depleted RNA samples from Escherichia coli (E. coli) challenged and non-challenged udder tissue of lactating cows in a proof of principle experiment. Using RNase H-mediated RNA depletion, the ratio of highly abundant milk protein gene transcripts was reduced in all depleted samples by an average of more than 50% compared to the non-depleted samples. Furthermore, the sensitivity for discovering transcripts with marginal expression levels and transcripts not yet annotated was improved. Finally, the sensitivity to detect significantly differentially expressed transcripts between non-challenged and challenged udder tissue was increased without leading to an inadvertent bias in the pathogen challenge-associated biological signaling pathway patterns. CONCLUSIONS: The implementation of selective RNase H-mediated RNA depletion of milk protein gene transcripts from the mammary gland transcriptome of lactating cows will be highly beneficial to establish comprehensive transcript catalogues of the tissue that better reflects its transcriptome complexity. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-019-5781-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6530097 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65300972019-05-28 Development and evaluation of a milk protein transcript depletion method for differential transcriptome analysis in mammary gland tissue Brodhagen, Johanna Weikard, Rosemarie Thom, Ulrike Heimes, Annika Günther, Juliane Hadlich, Frieder Zerbe, Holm Petzl, Wolfgang Meyerholz, Marie M. Hoedemaker, Martina Schuberth, Hans-Joachim Engelmann, Susanne Kühn, Christa BMC Genomics Research Article BACKGROUND: In the mammary gland transcriptome of lactating dairy cows genes encoding milk proteins are highly abundant, which can impair the detection of lowly expressed transcripts and can bias the outcome in global transcriptome analyses. Therefore, the aim of this study was to develop and evaluate a method to deplete extremely highly expressed transcripts in mRNA from lactating mammary gland tissue. RESULTS: Selective RNA depletion was performed by hybridization of antisense oligonucleotides targeting genes encoding the caseins (CSN1S1, CSN1S2, CSN2 and CSN3) and whey proteins (LALBA and PAEP) within total RNA followed by RNase H-mediated elimination of the respective transcripts. The effect of the RNA depletion procedure was monitored by RNA sequencing analysis comparing depleted and non-depleted RNA samples from Escherichia coli (E. coli) challenged and non-challenged udder tissue of lactating cows in a proof of principle experiment. Using RNase H-mediated RNA depletion, the ratio of highly abundant milk protein gene transcripts was reduced in all depleted samples by an average of more than 50% compared to the non-depleted samples. Furthermore, the sensitivity for discovering transcripts with marginal expression levels and transcripts not yet annotated was improved. Finally, the sensitivity to detect significantly differentially expressed transcripts between non-challenged and challenged udder tissue was increased without leading to an inadvertent bias in the pathogen challenge-associated biological signaling pathway patterns. CONCLUSIONS: The implementation of selective RNase H-mediated RNA depletion of milk protein gene transcripts from the mammary gland transcriptome of lactating cows will be highly beneficial to establish comprehensive transcript catalogues of the tissue that better reflects its transcriptome complexity. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-019-5781-3) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-22 /pmc/articles/PMC6530097/ /pubmed/31117949 http://dx.doi.org/10.1186/s12864-019-5781-3 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Brodhagen, Johanna Weikard, Rosemarie Thom, Ulrike Heimes, Annika Günther, Juliane Hadlich, Frieder Zerbe, Holm Petzl, Wolfgang Meyerholz, Marie M. Hoedemaker, Martina Schuberth, Hans-Joachim Engelmann, Susanne Kühn, Christa Development and evaluation of a milk protein transcript depletion method for differential transcriptome analysis in mammary gland tissue |
title | Development and evaluation of a milk protein transcript depletion method for differential transcriptome analysis in mammary gland tissue |
title_full | Development and evaluation of a milk protein transcript depletion method for differential transcriptome analysis in mammary gland tissue |
title_fullStr | Development and evaluation of a milk protein transcript depletion method for differential transcriptome analysis in mammary gland tissue |
title_full_unstemmed | Development and evaluation of a milk protein transcript depletion method for differential transcriptome analysis in mammary gland tissue |
title_short | Development and evaluation of a milk protein transcript depletion method for differential transcriptome analysis in mammary gland tissue |
title_sort | development and evaluation of a milk protein transcript depletion method for differential transcriptome analysis in mammary gland tissue |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6530097/ https://www.ncbi.nlm.nih.gov/pubmed/31117949 http://dx.doi.org/10.1186/s12864-019-5781-3 |
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