Co-expression network analysis to identify pluripotency biomarkers in bovine and porcine embryos

Research output: Contribution to conferencePosterResearchpeer-review

Standard

Co-expression network analysis to identify pluripotency biomarkers in bovine and porcine embryos. / Mazzoni, Gianluca; Freude, Karla Kristine; Hall, Vanessa Jane; Mashayekhi-Nezamabadi, Kaveh; Hyttel, Poul; Dinnyés, András; Kadarmideen, Haja.

2015. Poster session presented at 23rd Annual International Conference on Intelligent Systems for Molecular Biology and the 14th European Conference on Computational Biology, Dublin, Ireland.

Research output: Contribution to conferencePosterResearchpeer-review

Harvard

Mazzoni, G, Freude, KK, Hall, VJ, Mashayekhi-Nezamabadi, K, Hyttel, P, Dinnyés, A & Kadarmideen, H 2015, 'Co-expression network analysis to identify pluripotency biomarkers in bovine and porcine embryos', 23rd Annual International Conference on Intelligent Systems for Molecular Biology and the 14th European Conference on Computational Biology, Dublin, Ireland, 10/07/2015 - 14/07/2015.

APA

Mazzoni, G., Freude, K. K., Hall, V. J., Mashayekhi-Nezamabadi, K., Hyttel, P., Dinnyés, A., & Kadarmideen, H. (2015). Co-expression network analysis to identify pluripotency biomarkers in bovine and porcine embryos. Poster session presented at 23rd Annual International Conference on Intelligent Systems for Molecular Biology and the 14th European Conference on Computational Biology, Dublin, Ireland.

Vancouver

Mazzoni G, Freude KK, Hall VJ, Mashayekhi-Nezamabadi K, Hyttel P, Dinnyés A et al. Co-expression network analysis to identify pluripotency biomarkers in bovine and porcine embryos. 2015. Poster session presented at 23rd Annual International Conference on Intelligent Systems for Molecular Biology and the 14th European Conference on Computational Biology, Dublin, Ireland.

Author

Mazzoni, Gianluca ; Freude, Karla Kristine ; Hall, Vanessa Jane ; Mashayekhi-Nezamabadi, Kaveh ; Hyttel, Poul ; Dinnyés, András ; Kadarmideen, Haja. / Co-expression network analysis to identify pluripotency biomarkers in bovine and porcine embryos. Poster session presented at 23rd Annual International Conference on Intelligent Systems for Molecular Biology and the 14th European Conference on Computational Biology, Dublin, Ireland.1 p.

Bibtex

@conference{0dcd2d4ee1a847c5a9b6e8090818039d,
title = "Co-expression network analysis to identify pluripotency biomarkers in bovine and porcine embryos",
abstract = "Differentiated somatic cells can be reprogrammed in induced pluripotent stem cells (iPSCs); a cell type with great potentials in regenerative medicine and in vitro disease modeling. In the pig, we have developed iPSCs, but proper culture conditions for maintaining pluripotency over time are still lacking. Hence, there is a need for a more fundamental dissection of the pluripotency apparatus in the pig as well as in cattle.The aim of this study is to analyze RNA-seq data to increase the knowledge about biological pathways in porcine and bovine embryonic pluripotent cell populations exploiting the mouse data as proof of principle. In particular we studied cell populations from three different stages of pluripotency after fertilization: the inner cell mass, the epithelial epiblast and the gastrulating epiblast. Reads quality was checked with FASTQC, then the reads were pre-processed using Prinseq and mapped with STAR aligner ending up with a minimum of 80% of uniquely mapped reads per sample. Post mapping quality control with Qualimap showed a minimum of 60% of reads mapped in the exonic regions per sample. Finally the expression levels were estimated using HTSeq.Gene co-expression will be analyzed using a weighted network based method to identify highly co-expressed genes (module) and hub genes. Then modules with a potential role in pluripotency will be identified with an enrichment procedure and regulator genes identified with LemonTree algorithm. Finally differential wiring of the modules among species will be evaluated.ACKNOWLEDGEMENTS: we thank for the financial support from the EU project PluriSys, HEALTH-2007-B-223485.",
author = "Gianluca Mazzoni and Freude, {Karla Kristine} and Hall, {Vanessa Jane} and Kaveh Mashayekhi-Nezamabadi and Poul Hyttel and Andr{\'a}s Dinny{\'e}s and Haja Kadarmideen",
year = "2015",
language = "English",
note = "23rd Annual International Conference on Intelligent Systems for Molecular Biology and the 14th European Conference on Computational Biology, ISMB/ECCB ; Conference date: 10-07-2015 Through 14-07-2015",

}

RIS

TY - CONF

T1 - Co-expression network analysis to identify pluripotency biomarkers in bovine and porcine embryos

AU - Mazzoni, Gianluca

AU - Freude, Karla Kristine

AU - Hall, Vanessa Jane

AU - Mashayekhi-Nezamabadi, Kaveh

AU - Hyttel, Poul

AU - Dinnyés, András

AU - Kadarmideen, Haja

PY - 2015

Y1 - 2015

N2 - Differentiated somatic cells can be reprogrammed in induced pluripotent stem cells (iPSCs); a cell type with great potentials in regenerative medicine and in vitro disease modeling. In the pig, we have developed iPSCs, but proper culture conditions for maintaining pluripotency over time are still lacking. Hence, there is a need for a more fundamental dissection of the pluripotency apparatus in the pig as well as in cattle.The aim of this study is to analyze RNA-seq data to increase the knowledge about biological pathways in porcine and bovine embryonic pluripotent cell populations exploiting the mouse data as proof of principle. In particular we studied cell populations from three different stages of pluripotency after fertilization: the inner cell mass, the epithelial epiblast and the gastrulating epiblast. Reads quality was checked with FASTQC, then the reads were pre-processed using Prinseq and mapped with STAR aligner ending up with a minimum of 80% of uniquely mapped reads per sample. Post mapping quality control with Qualimap showed a minimum of 60% of reads mapped in the exonic regions per sample. Finally the expression levels were estimated using HTSeq.Gene co-expression will be analyzed using a weighted network based method to identify highly co-expressed genes (module) and hub genes. Then modules with a potential role in pluripotency will be identified with an enrichment procedure and regulator genes identified with LemonTree algorithm. Finally differential wiring of the modules among species will be evaluated.ACKNOWLEDGEMENTS: we thank for the financial support from the EU project PluriSys, HEALTH-2007-B-223485.

AB - Differentiated somatic cells can be reprogrammed in induced pluripotent stem cells (iPSCs); a cell type with great potentials in regenerative medicine and in vitro disease modeling. In the pig, we have developed iPSCs, but proper culture conditions for maintaining pluripotency over time are still lacking. Hence, there is a need for a more fundamental dissection of the pluripotency apparatus in the pig as well as in cattle.The aim of this study is to analyze RNA-seq data to increase the knowledge about biological pathways in porcine and bovine embryonic pluripotent cell populations exploiting the mouse data as proof of principle. In particular we studied cell populations from three different stages of pluripotency after fertilization: the inner cell mass, the epithelial epiblast and the gastrulating epiblast. Reads quality was checked with FASTQC, then the reads were pre-processed using Prinseq and mapped with STAR aligner ending up with a minimum of 80% of uniquely mapped reads per sample. Post mapping quality control with Qualimap showed a minimum of 60% of reads mapped in the exonic regions per sample. Finally the expression levels were estimated using HTSeq.Gene co-expression will be analyzed using a weighted network based method to identify highly co-expressed genes (module) and hub genes. Then modules with a potential role in pluripotency will be identified with an enrichment procedure and regulator genes identified with LemonTree algorithm. Finally differential wiring of the modules among species will be evaluated.ACKNOWLEDGEMENTS: we thank for the financial support from the EU project PluriSys, HEALTH-2007-B-223485.

UR - https://www.iscb.org/cms_addon/conferences/ismbeccb2015/posterlist.php?cat=O

M3 - Poster

T2 - 23rd Annual International Conference on Intelligent Systems for Molecular Biology and the 14th European Conference on Computational Biology

Y2 - 10 July 2015 through 14 July 2015

ER -

ID: 138432786