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MINTbase v2.0: a comprehensive database for tRNA-derived fragments that includes nuclear and mitochondrial fragments from all The Cancer Genome Atlas projects

MINTbase is a repository that comprises nuclear and mitochondrial tRNA-derived fragments (‘tRFs’) found in multiple human tissues. The original version of MINTbase comprised tRFs obtained from 768 transcriptomic datasets. We used our deterministic and exhaustive tRF mining pipeline to process all of...

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Autores principales: Pliatsika, Venetia, Loher, Phillipe, Magee, Rogan, Telonis, Aristeidis G, Londin, Eric, Shigematsu, Megumi, Kirino, Yohei, Rigoutsos, Isidore
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753276/
https://www.ncbi.nlm.nih.gov/pubmed/29186503
http://dx.doi.org/10.1093/nar/gkx1075
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author Pliatsika, Venetia
Loher, Phillipe
Magee, Rogan
Telonis, Aristeidis G
Londin, Eric
Shigematsu, Megumi
Kirino, Yohei
Rigoutsos, Isidore
author_facet Pliatsika, Venetia
Loher, Phillipe
Magee, Rogan
Telonis, Aristeidis G
Londin, Eric
Shigematsu, Megumi
Kirino, Yohei
Rigoutsos, Isidore
author_sort Pliatsika, Venetia
collection PubMed
description MINTbase is a repository that comprises nuclear and mitochondrial tRNA-derived fragments (‘tRFs’) found in multiple human tissues. The original version of MINTbase comprised tRFs obtained from 768 transcriptomic datasets. We used our deterministic and exhaustive tRF mining pipeline to process all of The Cancer Genome Atlas datasets (TCGA). We identified 23 413 tRFs with abundance of ≥ 1.0 reads-per-million (RPM). To facilitate further studies of tRFs by the community, we just released version 2.0 of MINTbase that contains information about 26 531 distinct human tRFs from 11 719 human datasets as of October 2017. Key new elements include: the ability to filter tRFs on-the-fly by minimum abundance thresholding; the ability to filter tRFs by tissue keywords; easy access to information about a tRF’s maximum abundance and the datasets that contain it; the ability to generate relative abundance plots for tRFs across cancer types and convert them into embeddable figures; MODOMICS information about modifications of the parental tRNA, etc. Version 2.0 of MINTbase contains 15x more datasets and nearly 4x more distinct tRFs than the original version, yet continues to offer fast, interactive access to its contents. Version 2.0 is available freely at http://cm.jefferson.edu/MINTbase/.
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spelling pubmed-57532762018-01-05 MINTbase v2.0: a comprehensive database for tRNA-derived fragments that includes nuclear and mitochondrial fragments from all The Cancer Genome Atlas projects Pliatsika, Venetia Loher, Phillipe Magee, Rogan Telonis, Aristeidis G Londin, Eric Shigematsu, Megumi Kirino, Yohei Rigoutsos, Isidore Nucleic Acids Res Database Issue MINTbase is a repository that comprises nuclear and mitochondrial tRNA-derived fragments (‘tRFs’) found in multiple human tissues. The original version of MINTbase comprised tRFs obtained from 768 transcriptomic datasets. We used our deterministic and exhaustive tRF mining pipeline to process all of The Cancer Genome Atlas datasets (TCGA). We identified 23 413 tRFs with abundance of ≥ 1.0 reads-per-million (RPM). To facilitate further studies of tRFs by the community, we just released version 2.0 of MINTbase that contains information about 26 531 distinct human tRFs from 11 719 human datasets as of October 2017. Key new elements include: the ability to filter tRFs on-the-fly by minimum abundance thresholding; the ability to filter tRFs by tissue keywords; easy access to information about a tRF’s maximum abundance and the datasets that contain it; the ability to generate relative abundance plots for tRFs across cancer types and convert them into embeddable figures; MODOMICS information about modifications of the parental tRNA, etc. Version 2.0 of MINTbase contains 15x more datasets and nearly 4x more distinct tRFs than the original version, yet continues to offer fast, interactive access to its contents. Version 2.0 is available freely at http://cm.jefferson.edu/MINTbase/. Oxford University Press 2018-01-04 2017-11-23 /pmc/articles/PMC5753276/ /pubmed/29186503 http://dx.doi.org/10.1093/nar/gkx1075 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Pliatsika, Venetia
Loher, Phillipe
Magee, Rogan
Telonis, Aristeidis G
Londin, Eric
Shigematsu, Megumi
Kirino, Yohei
Rigoutsos, Isidore
MINTbase v2.0: a comprehensive database for tRNA-derived fragments that includes nuclear and mitochondrial fragments from all The Cancer Genome Atlas projects
title MINTbase v2.0: a comprehensive database for tRNA-derived fragments that includes nuclear and mitochondrial fragments from all The Cancer Genome Atlas projects
title_full MINTbase v2.0: a comprehensive database for tRNA-derived fragments that includes nuclear and mitochondrial fragments from all The Cancer Genome Atlas projects
title_fullStr MINTbase v2.0: a comprehensive database for tRNA-derived fragments that includes nuclear and mitochondrial fragments from all The Cancer Genome Atlas projects
title_full_unstemmed MINTbase v2.0: a comprehensive database for tRNA-derived fragments that includes nuclear and mitochondrial fragments from all The Cancer Genome Atlas projects
title_short MINTbase v2.0: a comprehensive database for tRNA-derived fragments that includes nuclear and mitochondrial fragments from all The Cancer Genome Atlas projects
title_sort mintbase v2.0: a comprehensive database for trna-derived fragments that includes nuclear and mitochondrial fragments from all the cancer genome atlas projects
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753276/
https://www.ncbi.nlm.nih.gov/pubmed/29186503
http://dx.doi.org/10.1093/nar/gkx1075
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