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A curated transcriptome dataset collection to investigate the development and differentiation of the human placenta and its associated pathologies

Compendia of large-scale datasets made available in public repositories provide a precious opportunity to discover new biomedical phenomena and to fill gaps in our current knowledge. In order to foster novel insights it is necessary to ensure that these data are made readily accessible to research i...

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Autores principales: Marr, Alexandra K., Boughorbel, Sabri, Presnell, Scott, Quinn, Charlie, Chaussabel, Damien, Kino, Tomoshige
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4897750/
https://www.ncbi.nlm.nih.gov/pubmed/27303626
http://dx.doi.org/10.12688/f1000research.8210.2
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author Marr, Alexandra K.
Boughorbel, Sabri
Presnell, Scott
Quinn, Charlie
Chaussabel, Damien
Kino, Tomoshige
author_facet Marr, Alexandra K.
Boughorbel, Sabri
Presnell, Scott
Quinn, Charlie
Chaussabel, Damien
Kino, Tomoshige
author_sort Marr, Alexandra K.
collection PubMed
description Compendia of large-scale datasets made available in public repositories provide a precious opportunity to discover new biomedical phenomena and to fill gaps in our current knowledge. In order to foster novel insights it is necessary to ensure that these data are made readily accessible to research investigators in an interpretable format. Here we make a curated, public, collection of transcriptome datasets relevant to human placenta biology available for further analysis and interpretation via an interactive data browsing interface. We identified and retrieved a total of 24 datasets encompassing 759 transcriptome profiles associated with the development of the human placenta and associated pathologies from the NCBI Gene Expression Omnibus (GEO) and present them in a custom web-based application designed for interactive query and visualization of integrated large-scale datasets ( http://placentalendocrinology.gxbsidra.org/dm3/landing.gsp). We also performed quality control checks using relevant biological markers. Multiple sample groupings and rank lists were subsequently created to facilitate data query and interpretation. Via this interface, users can create web-links to customized graphical views which may be inserted into manuscripts for further dissemination, or e-mailed to collaborators for discussion. The tool also enables users to browse a single gene across different projects, providing a mechanism for  developing new perspectives on the role of a molecule of interest across multiple biological states. The dataset collection we created here is available at: http://placentalendocrinology.gxbsidra.org/dm3.
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spelling pubmed-48977502016-06-13 A curated transcriptome dataset collection to investigate the development and differentiation of the human placenta and its associated pathologies Marr, Alexandra K. Boughorbel, Sabri Presnell, Scott Quinn, Charlie Chaussabel, Damien Kino, Tomoshige F1000Res Data Note Compendia of large-scale datasets made available in public repositories provide a precious opportunity to discover new biomedical phenomena and to fill gaps in our current knowledge. In order to foster novel insights it is necessary to ensure that these data are made readily accessible to research investigators in an interpretable format. Here we make a curated, public, collection of transcriptome datasets relevant to human placenta biology available for further analysis and interpretation via an interactive data browsing interface. We identified and retrieved a total of 24 datasets encompassing 759 transcriptome profiles associated with the development of the human placenta and associated pathologies from the NCBI Gene Expression Omnibus (GEO) and present them in a custom web-based application designed for interactive query and visualization of integrated large-scale datasets ( http://placentalendocrinology.gxbsidra.org/dm3/landing.gsp). We also performed quality control checks using relevant biological markers. Multiple sample groupings and rank lists were subsequently created to facilitate data query and interpretation. Via this interface, users can create web-links to customized graphical views which may be inserted into manuscripts for further dissemination, or e-mailed to collaborators for discussion. The tool also enables users to browse a single gene across different projects, providing a mechanism for  developing new perspectives on the role of a molecule of interest across multiple biological states. The dataset collection we created here is available at: http://placentalendocrinology.gxbsidra.org/dm3. F1000Research 2016-05-11 /pmc/articles/PMC4897750/ /pubmed/27303626 http://dx.doi.org/10.12688/f1000research.8210.2 Text en Copyright: © 2016 Marr AK et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Data Note
Marr, Alexandra K.
Boughorbel, Sabri
Presnell, Scott
Quinn, Charlie
Chaussabel, Damien
Kino, Tomoshige
A curated transcriptome dataset collection to investigate the development and differentiation of the human placenta and its associated pathologies
title A curated transcriptome dataset collection to investigate the development and differentiation of the human placenta and its associated pathologies
title_full A curated transcriptome dataset collection to investigate the development and differentiation of the human placenta and its associated pathologies
title_fullStr A curated transcriptome dataset collection to investigate the development and differentiation of the human placenta and its associated pathologies
title_full_unstemmed A curated transcriptome dataset collection to investigate the development and differentiation of the human placenta and its associated pathologies
title_short A curated transcriptome dataset collection to investigate the development and differentiation of the human placenta and its associated pathologies
title_sort curated transcriptome dataset collection to investigate the development and differentiation of the human placenta and its associated pathologies
topic Data Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4897750/
https://www.ncbi.nlm.nih.gov/pubmed/27303626
http://dx.doi.org/10.12688/f1000research.8210.2
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