Cargando…

DBTSS/DBKERO for integrated analysis of transcriptional regulation

DBTSS (Database of Transcriptional Start Sites)/DBKERO (Database of Kashiwa Encyclopedia for human genome mutations in Regulatory regions and their Omics contexts) is the database originally initiated with the information of transcriptional start sites and their upstream transcriptional regulatory r...

Descripción completa

Detalles Bibliográficos
Autores principales: Suzuki, Ayako, Kawano, Shin, Mitsuyama, Toutai, Suyama, Mikita, Kanai, Yae, Shirahige, Katsuhiko, Sasaki, Hiroyuki, Tokunaga, Katsushi, Tsuchihara, Katsuya, Sugano, Sumio, Nakai, Kenta, Suzuki, Yutaka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753362/
https://www.ncbi.nlm.nih.gov/pubmed/29126224
http://dx.doi.org/10.1093/nar/gkx1001
_version_ 1783290259622068224
author Suzuki, Ayako
Kawano, Shin
Mitsuyama, Toutai
Suyama, Mikita
Kanai, Yae
Shirahige, Katsuhiko
Sasaki, Hiroyuki
Tokunaga, Katsushi
Tsuchihara, Katsuya
Sugano, Sumio
Nakai, Kenta
Suzuki, Yutaka
author_facet Suzuki, Ayako
Kawano, Shin
Mitsuyama, Toutai
Suyama, Mikita
Kanai, Yae
Shirahige, Katsuhiko
Sasaki, Hiroyuki
Tokunaga, Katsushi
Tsuchihara, Katsuya
Sugano, Sumio
Nakai, Kenta
Suzuki, Yutaka
author_sort Suzuki, Ayako
collection PubMed
description DBTSS (Database of Transcriptional Start Sites)/DBKERO (Database of Kashiwa Encyclopedia for human genome mutations in Regulatory regions and their Omics contexts) is the database originally initiated with the information of transcriptional start sites and their upstream transcriptional regulatory regions. In recent years, we updated the database to assist users to elucidate biological relevance of the human genome variations or somatic mutations in cancers which may affect the transcriptional regulation. In this update, we facilitate interpretations of disease associated genomic variation, using the Japanese population as a model case. We enriched the genomic variation dataset consisting of the 13,368 individuals collected for various genome-wide association studies and the reference epigenome information in the surrounding regions using a total of 455 epigenome datasets (four tissue types from 67 healthy individuals) collected for the International Human Epigenome Consortium (IHEC). The data directly obtained from the clinical samples was associated with that obtained from various model systems, such as the drug perturbation datasets using cultured cancer cells. Furthermore, we incorporated the results obtained using the newly developed analytical methods, Nanopore/10x Genomics long-read sequencing of the human genome and single cell analyses. The database is made publicly accessible at the URL (http://dbtss.hgc.jp/).
format Online
Article
Text
id pubmed-5753362
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-57533622018-01-05 DBTSS/DBKERO for integrated analysis of transcriptional regulation Suzuki, Ayako Kawano, Shin Mitsuyama, Toutai Suyama, Mikita Kanai, Yae Shirahige, Katsuhiko Sasaki, Hiroyuki Tokunaga, Katsushi Tsuchihara, Katsuya Sugano, Sumio Nakai, Kenta Suzuki, Yutaka Nucleic Acids Res Database Issue DBTSS (Database of Transcriptional Start Sites)/DBKERO (Database of Kashiwa Encyclopedia for human genome mutations in Regulatory regions and their Omics contexts) is the database originally initiated with the information of transcriptional start sites and their upstream transcriptional regulatory regions. In recent years, we updated the database to assist users to elucidate biological relevance of the human genome variations or somatic mutations in cancers which may affect the transcriptional regulation. In this update, we facilitate interpretations of disease associated genomic variation, using the Japanese population as a model case. We enriched the genomic variation dataset consisting of the 13,368 individuals collected for various genome-wide association studies and the reference epigenome information in the surrounding regions using a total of 455 epigenome datasets (four tissue types from 67 healthy individuals) collected for the International Human Epigenome Consortium (IHEC). The data directly obtained from the clinical samples was associated with that obtained from various model systems, such as the drug perturbation datasets using cultured cancer cells. Furthermore, we incorporated the results obtained using the newly developed analytical methods, Nanopore/10x Genomics long-read sequencing of the human genome and single cell analyses. The database is made publicly accessible at the URL (http://dbtss.hgc.jp/). Oxford University Press 2018-01-04 2017-11-08 /pmc/articles/PMC5753362/ /pubmed/29126224 http://dx.doi.org/10.1093/nar/gkx1001 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
Suzuki, Ayako
Kawano, Shin
Mitsuyama, Toutai
Suyama, Mikita
Kanai, Yae
Shirahige, Katsuhiko
Sasaki, Hiroyuki
Tokunaga, Katsushi
Tsuchihara, Katsuya
Sugano, Sumio
Nakai, Kenta
Suzuki, Yutaka
DBTSS/DBKERO for integrated analysis of transcriptional regulation
title DBTSS/DBKERO for integrated analysis of transcriptional regulation
title_full DBTSS/DBKERO for integrated analysis of transcriptional regulation
title_fullStr DBTSS/DBKERO for integrated analysis of transcriptional regulation
title_full_unstemmed DBTSS/DBKERO for integrated analysis of transcriptional regulation
title_short DBTSS/DBKERO for integrated analysis of transcriptional regulation
title_sort dbtss/dbkero for integrated analysis of transcriptional regulation
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753362/
https://www.ncbi.nlm.nih.gov/pubmed/29126224
http://dx.doi.org/10.1093/nar/gkx1001
work_keys_str_mv AT suzukiayako dbtssdbkeroforintegratedanalysisoftranscriptionalregulation
AT kawanoshin dbtssdbkeroforintegratedanalysisoftranscriptionalregulation
AT mitsuyamatoutai dbtssdbkeroforintegratedanalysisoftranscriptionalregulation
AT suyamamikita dbtssdbkeroforintegratedanalysisoftranscriptionalregulation
AT kanaiyae dbtssdbkeroforintegratedanalysisoftranscriptionalregulation
AT shirahigekatsuhiko dbtssdbkeroforintegratedanalysisoftranscriptionalregulation
AT sasakihiroyuki dbtssdbkeroforintegratedanalysisoftranscriptionalregulation
AT tokunagakatsushi dbtssdbkeroforintegratedanalysisoftranscriptionalregulation
AT tsuchiharakatsuya dbtssdbkeroforintegratedanalysisoftranscriptionalregulation
AT suganosumio dbtssdbkeroforintegratedanalysisoftranscriptionalregulation
AT nakaikenta dbtssdbkeroforintegratedanalysisoftranscriptionalregulation
AT suzukiyutaka dbtssdbkeroforintegratedanalysisoftranscriptionalregulation