Literature DB >> 33231677

GTRD: an integrated view of transcription regulation.

Semyon Kolmykov1,2,3, Ivan Yevshin1,2, Mikhail Kulyashov1,2,4, Ruslan Sharipov1,2,4, Yury Kondrakhin1,2, Vsevolod J Makeev5,6,7,8, Ivan V Kulakovskiy5,8,9, Alexander Kel1,10,11, Fedor Kolpakov1,2.   

Abstract

The Gene Transcription Regulation Database (GTRD; http://gtrd.biouml.org/) contains uniformly annotated and processed NGS data related to gene transcription regulation: ChIP-seq, ChIP-exo, DNase-seq, MNase-seq, ATAC-seq and RNA-seq. With the latest release, the database has reached a new level of data integration. All cell types (cell lines and tissues) presented in the GTRD were arranged into a dictionary and linked with different ontologies (BRENDA, Cell Ontology, Uberon, Cellosaurus and Experimental Factor Ontology) and with related experiments in specialized databases on transcription regulation (FANTOM5, ENCODE and GTEx). The updated version of the GTRD provides an integrated view of transcription regulation through a dedicated web interface with advanced browsing and search capabilities, an integrated genome browser, and table reports by cell types, transcription factors, and genes of interest.
© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

Entities:  

Year:  2021        PMID: 33231677     DOI: 10.1093/nar/gkaa1057

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  26 in total

1.  scREMOTE: Using multimodal single cell data to predict regulatory gene relationships and to build a computational cell reprogramming model.

Authors:  Andy Tran; Pengyi Yang; Jean Y H Yang; John T Ormerod
Journal:  NAR Genom Bioinform       Date:  2022-03-15

2.  CircleBase: an integrated resource and analysis platform for human eccDNAs.

Authors:  Xiaolu Zhao; Leisheng Shi; Shasha Ruan; Wenjian Bi; Yifan Chen; Lin Chen; Yifan Liu; Mingkun Li; Jie Qiao; Fengbiao Mao
Journal:  Nucleic Acids Res       Date:  2022-01-07       Impact factor: 16.971

3.  Transcription Factor Signatures May Predict the Prognosis and Status of the Immune Microenvironment of Primary Lower-Grade Gliomas.

Authors:  Peidong Liu; Ruojie Wu; Jinhao Zhang; Yiming Zhang; Chen Zhang; Lei Chen; Shengping Yu; Xuejun Yang
Journal:  Int J Gen Med       Date:  2021-11-16

4.  [Expression characteristics and functional analysis of ELK3 in gastric cancer].

Authors:  L Zhou; Y Wu; L Xin
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2021-08-31

5.  BioUML-towards a universal research platform.

Authors:  Fedor Kolpakov; Ilya Akberdin; Ilya Kiselev; Semyon Kolmykov; Yury Kondrakhin; Mikhail Kulyashov; Elena Kutumova; Sergey Pintus; Anna Ryabova; Ruslan Sharipov; Ivan Yevshin; Sergey Zhatchenko; Alexander Kel
Journal:  Nucleic Acids Res       Date:  2022-05-10       Impact factor: 19.160

6.  Long non-coding RNA Tug1 modulates mitochondrial and myogenic responses to exercise in skeletal muscle.

Authors:  Adam J Trewin; Jessica Silver; Hayley T Dillon; Paul A Della Gatta; Lewan Parker; Danielle S Hiam; Yin Peng Lee; Mark Richardson; Glenn D Wadley; Séverine Lamon
Journal:  BMC Biol       Date:  2022-07-18       Impact factor: 7.364

7.  Nuclear receptor NR5A2 negatively regulates cell proliferation and tumor growth in nervous system malignancies.

Authors:  Dimitrios Gkikas; Dimitris Stellas; Alexia Polissidis; Theodora Manolakou; Maroula G Kokotou; George Kokotos; Panagiotis K Politis
Journal:  Proc Natl Acad Sci U S A       Date:  2021-09-28       Impact factor: 11.205

8.  ReMap 2022: a database of Human, Mouse, Drosophila and Arabidopsis regulatory regions from an integrative analysis of DNA-binding sequencing experiments.

Authors:  Fayrouz Hammal; Pierre de Langen; Aurélie Bergon; Fabrice Lopez; Benoit Ballester
Journal:  Nucleic Acids Res       Date:  2022-01-07       Impact factor: 16.971

9.  Prognostic signature composed of transcription factors accurately predicts the prognosis of gastric cancer patients.

Authors:  Liqiang Zhou; Zhiqing Chen; You Wu; Hao Lu; Lin Xin
Journal:  Cancer Cell Int       Date:  2021-07-07       Impact factor: 5.722

10.  Statistical estimates of multiple transcription factors binding in the model plant genomes based on ChIP-seq data.

Authors:  Arthur I Dergilev; Nina G Orlova; Oxana B Dobrovolskaya; Yuriy L Orlov
Journal:  J Integr Bioinform       Date:  2021-12-21
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.