Literature DB >> 31028388

SEanalysis: a web tool for super-enhancer associated regulatory analysis.

Feng-Cui Qian1, Xue-Cang Li1, Jin-Cheng Guo2, Jian-Mei Zhao1, Yan-Yu Li1, Zhi-Dong Tang1, Li-Wei Zhou1, Jian Zhang1, Xue-Feng Bai1, Yong Jiang1, Qi Pan1, Qiu-Yu Wang1,2, En-Min Li1, Chun-Quan Li1, Li-Yan Xu2, De-Chen Lin3.   

Abstract

Super-enhancers (SEs) have prominent roles in biological and pathological processes through their unique transcriptional regulatory capability. To date, several SE databases have been developed by us and others. However, these existing databases do not provide downstream or upstream regulatory analyses of SEs. Pathways, transcription factors (TFs), SEs, and SE-associated genes form complex regulatory networks. Therefore, we designed a novel web server, SEanalysis, which provides comprehensive SE-associated regulatory network analyses. SEanalysis characterizes SE-associated genes, TFs binding to target SEs, and their upstream pathways. The current version of SEanalysis contains more than 330 000 SEs from more than 540 types of cells/tissues, 5042 TF ChIP-seq data generated from these cells/tissues, DNA-binding sequence motifs for ∼700 human TFs and 2880 pathways from 10 databases. SEanalysis supports searching by either SEs, samples, TFs, pathways or genes. The complex regulatory networks formed by these factors can be interactively visualized. In addition, we developed a customizable genome browser containing >6000 customizable tracks for visualization. The server is freely available at http://licpathway.net/SEanalysis.
© The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2019        PMID: 31028388      PMCID: PMC6602466          DOI: 10.1093/nar/gkz302

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


  47 in total

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Journal:  Science       Date:  2004-02-27       Impact factor: 47.728

2.  Core transcriptional regulatory circuitry in human embryonic stem cells.

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Journal:  Cell       Date:  2005-09-23       Impact factor: 41.582

3.  Variation in homeodomain DNA binding revealed by high-resolution analysis of sequence preferences.

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Journal:  Cell       Date:  2008-06-27       Impact factor: 41.582

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5.  Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.

Authors:  Ben Langmead; Cole Trapnell; Mihai Pop; Steven L Salzberg
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Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

7.  Core transcriptional regulatory circuitry in human hepatocytes.

Authors:  Duncan T Odom; Robin D Dowell; Elizabeth S Jacobsen; Lena Nekludova; P Alexander Rolfe; Timothy W Danford; David K Gifford; Ernest Fraenkel; Graeme I Bell; Richard A Young
Journal:  Mol Syst Biol       Date:  2006-05-02       Impact factor: 11.429

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Journal:  Nucleic Acids Res       Date:  2009-08-25       Impact factor: 16.971

9.  MEME SUITE: tools for motif discovery and searching.

Authors:  Timothy L Bailey; Mikael Boden; Fabian A Buske; Martin Frith; Charles E Grant; Luca Clementi; Jingyuan Ren; Wilfred W Li; William S Noble
Journal:  Nucleic Acids Res       Date:  2009-05-20       Impact factor: 16.971

10.  Model-based analysis of ChIP-Seq (MACS).

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Journal:  Genome Biol       Date:  2008-09-17       Impact factor: 13.583

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  16 in total

1.  Bromodomain-containing protein 4 regulates interleukin-34 expression in mouse ovarian cancer cells.

Authors:  Nanumi Han; Delnur Anwar; Naoki Hama; Takuto Kobayashi; Hidefumi Suzuki; Hidehisa Takahashi; Haruka Wada; Ryo Otsuka; Muhammad Baghdadi; Ken-Ichiro Seino
Journal:  Inflamm Regen       Date:  2020-10-14

2.  VARAdb: a comprehensive variation annotation database for human.

Authors:  Qi Pan; Yue-Juan Liu; Xue-Feng Bai; Xiao-Le Han; Yong Jiang; Bo Ai; Shan-Shan Shi; Fan Wang; Ming-Cong Xu; Yue-Zhu Wang; Jun Zhao; Jia-Xin Chen; Jian Zhang; Xue-Cang Li; Jiang Zhu; Guo-Rui Zhang; Qiu-Yu Wang; Chun-Quan Li
Journal:  Nucleic Acids Res       Date:  2021-01-08       Impact factor: 16.971

3.  LncSEA: a platform for long non-coding RNA related sets and enrichment analysis.

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Journal:  Nucleic Acids Res       Date:  2021-01-08       Impact factor: 16.971

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Authors:  Nathalia Almeida; Matthew W H Chung; Elena M Drudi; Elise N Engquist; Eva Hamrud; Abigail Isaacson; Victoria S K Tsang; Fiona M Watt; Francesca M Spagnoli
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5.  ESR1 mutant breast cancers show elevated basal cytokeratins and immune activation.

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Journal:  Nat Commun       Date:  2022-04-19       Impact factor: 17.694

6.  Myeloma-specific superenhancers affect genes of biological and clinical relevance in myeloma.

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Journal:  Blood Cancer J       Date:  2021-02-12       Impact factor: 11.037

Review 7.  Super-enhancer-mediated core regulatory circuitry in human cancer.

Authors:  Yuan Jiang; Yan-Yi Jiang; De-Chen Lin
Journal:  Comput Struct Biotechnol J       Date:  2021-05-05       Impact factor: 7.271

Review 8.  A STAT3 of Addiction: Adipose Tissue, Adipocytokine Signalling and STAT3 as Mediators of Metabolic Remodelling in the Tumour Microenvironment.

Authors:  Rose Kadye; Mihlali Stoffels; Sidne Fanucci; Siso Mbanxa; Earl Prinsloo
Journal:  Cells       Date:  2020-04-22       Impact factor: 6.600

Review 9.  The emerging role of super enhancer-derived noncoding RNAs in human cancer.

Authors:  Yutong Wang; Hui Nie; Xiaoyun He; Zhiming Liao; Yangying Zhou; Jianhua Zhou; Chunlin Ou
Journal:  Theranostics       Date:  2020-09-02       Impact factor: 11.556

10.  Characterization of super-enhancer-associated functional lncRNAs acting as ceRNAs in ESCC.

Authors:  Qiu-Yu Wang; Liu Peng; Yang Chen; Lian-Di Liao; Jia-Xin Chen; Meng Li; Yan-Yu Li; Feng-Cui Qian; Yue-Xin Zhang; Fan Wang; Chun-Quan Li; De-Chen Lin; Li-Yan Xu; En-Min Li
Journal:  Mol Oncol       Date:  2020-06-20       Impact factor: 6.603

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