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      ChIPBase v3.0: the encyclopedia of transcriptional regulations of non-coding RNAs and protein-coding genes

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          Abstract

          Non-coding RNAs (ncRNAs) are emerging as key regulators of various biological processes. Although thousands of ncRNAs have been discovered, the transcriptional mechanisms and networks of the majority of ncRNAs have not been fully investigated. In this study, we updated ChIPBase to version 3.0 ( https://rnasysu.com/chipbase3/) to provide the most comprehensive transcriptional regulation atlas of ncRNAs and protein-coding genes (PCGs). ChIPBase has identified ∼151 187 000 regulatory relationships between ∼171 600 genes and ∼3000 regulators by analyzing ∼55 000 ChIP-seq datasets, which represent a 30-fold expansion. Moreover, we de novo identified ∼29 000 motif matrices of transcription factors. In addition, we constructed a novel ‘Enhancer’ module to predict ∼1 837 200 regulation regions functioning as poised, active or super enhancers under ∼1300 conditions. Importantly, we constructed exhaustive coexpression maps between regulators and their target genes by integrating expression profiles of ∼65 000 normal and ∼15 000 tumor samples. We built a ‘Disease’ module to obtain an atlas of the disease-associated variations in the regulation regions of genes. We also constructed an ‘EpiInter’ module to explore potential interactions between epitranscriptome and epigenome. Finally, we designed ‘Network’ module to provide extensive and gene-centred regulatory networks. ChIPBase will serve as a useful resource to facilitate integrative explorations and expand our understanding of transcriptional regulation.

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          Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities.

          Genome-scale studies have revealed extensive, cell type-specific colocalization of transcription factors, but the mechanisms underlying this phenomenon remain poorly understood. Here, we demonstrate in macrophages and B cells that collaborative interactions of the common factor PU.1 with small sets of macrophage- or B cell lineage-determining transcription factors establish cell-specific binding sites that are associated with the majority of promoter-distal H3K4me1-marked genomic regions. PU.1 binding initiates nucleosome remodeling, followed by H3K4 monomethylation at large numbers of genomic regions associated with both broadly and specifically expressed genes. These locations serve as beacons for additional factors, exemplified by liver X receptors, which drive both cell-specific gene expression and signal-dependent responses. Together with analyses of transcription factor binding and H3K4me1 patterns in other cell types, these studies suggest that simple combinations of lineage-determining transcription factors can specify the genomic sites ultimately responsible for both cell identity and cell type-specific responses to diverse signaling inputs. Copyright 2010 Elsevier Inc. All rights reserved.
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            NCBI GEO: archive for functional genomics data sets—update

            The Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo/) is an international public repository for high-throughput microarray and next-generation sequence functional genomic data sets submitted by the research community. The resource supports archiving of raw data, processed data and metadata which are indexed, cross-linked and searchable. All data are freely available for download in a variety of formats. GEO also provides several web-based tools and strategies to assist users to query, analyse and visualize data. This article reports current status and recent database developments, including the release of GEO2R, an R-based web application that helps users analyse GEO data.
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              The Cancer Genome Atlas Pan-Cancer analysis project.

              The Cancer Genome Atlas (TCGA) Research Network has profiled and analyzed large numbers of human tumors to discover molecular aberrations at the DNA, RNA, protein and epigenetic levels. The resulting rich data provide a major opportunity to develop an integrated picture of commonalities, differences and emergent themes across tumor lineages. The Pan-Cancer initiative compares the first 12 tumor types profiled by TCGA. Analysis of the molecular aberrations and their functional roles across tumor types will teach us how to extend therapies effective in one cancer type to others with a similar genomic profile.
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                Author and article information

                Contributors
                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                06 January 2023
                18 November 2022
                18 November 2022
                : 51
                : D1
                : D46-D56
                Affiliations
                Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, School of Life Sciences, Sun Yat-sen University , Guangzhou 510275, P.R. China
                Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, School of Life Sciences, Sun Yat-sen University , Guangzhou 510275, P.R. China
                Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, School of Life Sciences, Sun Yat-sen University , Guangzhou 510275, P.R. China
                Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, School of Life Sciences, Sun Yat-sen University , Guangzhou 510275, P.R. China
                Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, School of Life Sciences, Sun Yat-sen University , Guangzhou 510275, P.R. China
                Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, School of Life Sciences, Sun Yat-sen University , Guangzhou 510275, P.R. China
                Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, School of Life Sciences, Sun Yat-sen University , Guangzhou 510275, P.R. China
                Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, School of Life Sciences, Sun Yat-sen University , Guangzhou 510275, P.R. China
                Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, School of Life Sciences, Sun Yat-sen University , Guangzhou 510275, P.R. China
                Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, School of Life Sciences, Sun Yat-sen University , Guangzhou 510275, P.R. China
                Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, School of Life Sciences, Sun Yat-sen University , Guangzhou 510275, P.R. China
                Department of Systems Biology, Beckman Research Institute of City of Hope , Monrovia, CA 91016, USA
                Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, School of Life Sciences, Sun Yat-sen University , Guangzhou 510275, P.R. China
                Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, School of Life Sciences, Sun Yat-sen University , Guangzhou 510275, P.R. China
                Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, School of Life Sciences, Sun Yat-sen University , Guangzhou 510275, P.R. China
                The Fifth Affiliated Hospital, Sun Yat-sen University , Zhuhai 519000, P.R. China
                Author notes
                To whom correspondence should be addressed. Tel: +86 20 84112399; Fax: +86 20 84036551; Email: yangjh7@ 123456mail.sysu.edu.cn
                Correspondence may also be addressed to Bin Li. Email: libin73@ 123456mail.sysu.edu.cn
                Correspondence may also be addressed to Lianghu Qu. Email: lssqlh@ 123456mail.sysu.edu.cn
                Correspondence may also be addressed to Keren Zhou. Email: kzhou@ 123456coh.org
                Correspondence may also be addressed to Shurong Liu. Email: liushr27@ 123456mail.sysu.edu.cn
                Author information
                https://orcid.org/0000-0002-7152-1095
                https://orcid.org/0000-0001-7905-3399
                https://orcid.org/0000-0003-3657-2863
                https://orcid.org/0000-0003-3863-2786
                Article
                gkac1067
                10.1093/nar/gkac1067
                9825553
                36399495
                eeb995ed-d323-4907-a1f2-11f5a305440b
                © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 25 October 2022
                : 22 October 2022
                : 17 September 2022
                Page count
                Pages: 11
                Funding
                Funded by: National Key Research and Development Program of China, DOI 10.13039/501100012166;
                Award ID: 2019YFA0802202
                Award ID: 2022YFA1300020
                Funded by: National Natural Science Foundation of China, DOI 10.13039/501100001809;
                Award ID: 91940304
                Award ID: 31971228
                Award ID: 31770879
                Award ID: 31970604
                Award ID: 31900903
                Award ID: 32225011
                Award ID: 32100467
                Funded by: Youth science and technology innovation talent of Guangdong TeZhi plan;
                Award ID: 2019TQ05Y181
                Funded by: Guangdong Province;
                Award ID: 2021A1515010542
                Funded by: Guangzhou city;
                Award ID: 202002030351
                Award ID: 201904020041
                Categories
                AcademicSubjects/SCI00010
                Database Issue

                Genetics
                Genetics

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