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      TransmiR v3.0: an updated transcription factor-microRNA regulation database

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          Abstract

          microRNAs (miRNAs) are active in various biological processes by mediating gene expression, and the full investigation of miRNA transcription is crucial for understanding the mechanisms underlying miRNA deregulation in pathological conditions. Here an updated TransmiR v3.0 database is presented with more comprehensive miRNA transcription regulation information, which contains 5095 transcription factor (TF) -miRNA regulations curated from 2285 papers and >6 million TF–miRNA regulations derived from ChIP-seq data. Currently, TransmiR v3.0 covers 3260 TFs, 4253 miRNAs and 514 433 TF–miRNA regulation pairs across 29 organisms. Additionally, motif scanning of TF loci on promoter sequences of miRNAs from multiple species is employed to predict TF–miRNA regulations, generating 284 527 predicted TF–miRNA regulations. Besides the significant growth of data volume, we also improve the annotations for TFs and miRNAs by introducing the TF family, TFBS motif, and expression profiles for several species. Moreover, the functionality of the TransmiR v3.0 online database is enhanced, including allowing batch search for flexible queries and offering more extensive disease-specific, as well as newly sex-specific TF–miRNA regulation networks in the ‘Network’ module. TransmiR v3.0 provides a useful resource for studying miRNA biogenesis regulation and can be freely accessed at http://www.cuilab.cn/transmir.

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          Most cited references36

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          miRBase: from microRNA sequences to function

          Abstract miRBase catalogs, names and distributes microRNA gene sequences. The latest release of miRBase (v22) contains microRNA sequences from 271 organisms: 38 589 hairpin precursors and 48 860 mature microRNAs. We describe improvements to the database and website to provide more information about the quality of microRNA gene annotations, and the cellular functions of their products. We have collected 1493 small RNA deep sequencing datasets and mapped a total of 5.5 billion reads to microRNA sequences. The read mapping patterns provide strong support for the validity of between 20% and 65% of microRNA annotations in different well-studied animal genomes, and evidence for the removal of >200 sequences from the database. To improve the availability of microRNA functional information, we are disseminating Gene Ontology terms annotated against miRBase sequences. We have also used a text-mining approach to search for microRNA gene names in the full-text of open access articles. Over 500 000 sentences from 18 542 papers contain microRNA names. We score these sentences for functional information and link them with 12 519 microRNA entries. The sentences themselves, and word clouds built from them, provide effective summaries of the functional information about specific microRNAs. miRBase is publicly and freely available at http://mirbase.org/.
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            MicroRNA therapeutics: towards a new era for the management of cancer and other diseases

            MicroRNAs (miRNAs) are small non-coding RNAs that can modulate mRNA expression. Insights into the roles of miRNAs in development and disease have led to the development of new therapeutic approaches that are based on miRNA mimics or agents that inhibit their functions (antimiRs), and the first such approaches have entered the clinic. This Review discusses the role of different miRNAs in cancer and other diseases, and provides an overview of current miRNA therapeutics in the clinic.
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              Is Open Access

              The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge

              The Cancer Genome Atlas (TCGA) is a public funded project that aims to catalogue and discover major cancer-causing genomic alterations to create a comprehensive “atlas” of cancer genomic profiles. So far, TCGA researchers have analysed large cohorts of over 30 human tumours through large-scale genome sequencing and integrated multi-dimensional analyses. Studies of individual cancer types, as well as comprehensive pan-cancer analyses have extended current knowledge of tumorigenesis. A major goal of the project was to provide publicly available datasets to help improve diagnostic methods, treatment standards, and finally to prevent cancer. This review discusses the current status of TCGA Research Network structure, purpose, and achievements.

                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 2025
                12 November 2024
                12 November 2024
                : 53
                : D1
                : D318-D323
                Affiliations
                School of Sports Medicine, Wuhan Institute of Physical Education , No.461 Luoyu Rd. Wuchang District, WuHan 430079 Hubei Province, China
                Department of Biomedical Informatics, Center for Noncoding RNA Medicine, State Key Laboratory of Vascular Homeostasis and Remodeling, School of Basic Medical Sciences, Peking University , 38 Xueyuan Rd, Beijing 100191, China
                Department of Biochemistry and Biophysics, School of Basic Medical Sciences, Peking University Health Science Center , Beijing 100191, China
                School of Sports Medicine, Wuhan Institute of Physical Education , No.461 Luoyu Rd. Wuchang District, WuHan 430079 Hubei Province, China
                Department of Biomedical Informatics, Center for Noncoding RNA Medicine, State Key Laboratory of Vascular Homeostasis and Remodeling, School of Basic Medical Sciences, Peking University , 38 Xueyuan Rd, Beijing 100191, China
                Medical College of Shihezi University, Bei-Er-Lu , Shihezi, Xinjiang 832000, China
                Department of Biomedical Informatics, Center for Noncoding RNA Medicine, State Key Laboratory of Vascular Homeostasis and Remodeling, School of Basic Medical Sciences, Peking University , 38 Xueyuan Rd, Beijing 100191, China
                Author notes
                To whom the correspondence should be addressed. Email: yangsh@ 123456bjmu.edu.cn
                Correspondence may also be addressed to Qinghua Cui. Email: cuiqinghua@ 123456bjmu.edu.cn
                Correspondence may also be addressed to Jun Zhang. Email: zhangjunyc@ 123456163.com
                Correspondence may also be addressed to Chunmei Cui. Tel: +86 10 82801001; Fax: +86 10 82801001; Email: ccm328@ 123456bjmu.edu.cn

                The first two authors should be regarded as Joint First Authors.

                Author information
                https://orcid.org/0000-0001-6223-5225
                Article
                gkae1081
                10.1093/nar/gkae1081
                11701595
                39530226
                1d7ee23f-98c7-4563-86f4-043836936bf3
                © The Author(s) 2024. 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-NonCommercial License ( https://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 reprints@ 123456oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@ 123456oup.com .

                History
                : 23 October 2024
                : 21 October 2024
                : 05 August 2024
                Page count
                Pages: 6
                Funding
                Funded by: National Natural Science Foundation of China, DOI 10.13039/501100001809;
                Award ID: 32301239
                Award ID: 62025102
                Award ID: 81921001
                Funded by: Xinjiang Production and Construction Corps, DOI 10.13039/501100009967;
                Award ID: 2023AB057
                Award ID: 2023ZD037
                Award ID: 2022ZD001
                Funded by: China Postdoctoral Science Foundation, DOI 10.13039/501100002858;
                Award ID: 2023M740151
                Categories
                AcademicSubjects/SCI00010
                Database Issue

                Genetics
                Genetics

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