Literature DB >> 29281000

A high-resolution map of the human small non-coding transcriptome.

Tobias Fehlmann1, Christina Backes1, Julia Alles2, Ulrike Fischer2, Martin Hart2, Fabian Kern1, Hilde Langseth3, Trine Rounge3, Sinan Ugur Umu3, Mustafa Kahraman1,4, Thomas Laufer4, Jan Haas5,6,7, Cord Staehler1, Nicole Ludwig2, Matthias Hübenthal8, Benjamin Meder5,6,7, Andre Franke8, Hans-Peter Lenhof9, Eckart Meese2, Andreas Keller1.   

Abstract

Motivation: Although the amount of small non-coding RNA-sequencing data is continuously increasing, it is still unclear to which extent small RNAs are represented in the human genome.
Results: In this study we analyzed 303 billion sequencing reads from nearly 25 000 datasets to answer this question. We determined that 0.8% of the human genome are reliably covered by 874 123 regions with an average length of 31 nt. On the basis of these regions, we found that among the known small non-coding RNA classes, microRNAs were the most prevalent. In subsequent steps, we characterized variations of miRNAs and performed a staged validation of 11 877 candidate miRNAs. Of these, many were actually expressed and significantly dysregulated in lung cancer. Selected candidates were finally validated by northern blots. Although isolated miRNAs could still be present in the human genome, our presented set likely contains the largest fraction of human miRNAs. Contact: c.backes@mx.uni-saarland.de or andreas.keller@ccb.uni-saarland.de. Supplementary information: Supplementary data are available at Bioinformatics online.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 29281000     DOI: 10.1093/bioinformatics/btx814

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  11 in total

1.  miRSwitch: detecting microRNA arm shift and switch events.

Authors:  Fabian Kern; Jeremy Amand; Ilya Senatorov; Alina Isakova; Christina Backes; Eckart Meese; Andreas Keller; Tobias Fehlmann
Journal:  Nucleic Acids Res       Date:  2020-07-02       Impact factor: 16.971

2.  Large-scale validation of miRNAs by disease association, evolutionary conservation and pathway activity.

Authors:  Tobias Fehlmann; Thomas Laufer; Christina Backes; Mustafa Kahramann; Julia Alles; Ulrike Fischer; Marie Minet; Nicole Ludwig; Fabian Kern; Tim Kehl; Valentina Galata; Aneta Düsterloh; Hannah Schrörs; Jochen Kohlhaas; Robert Bals; Hanno Huwer; Lars Geffers; Rejko Krüger; Rudi Balling; Hans-Peter Lenhof; Eckart Meese; Andreas Keller
Journal:  RNA Biol       Date:  2018-12-26       Impact factor: 4.652

3.  Competitive learning suggests circulating miRNA profiles for cancers decades prior to diagnosis.

Authors:  Andreas Keller; Tobias Fehlmann; Christina Backes; Fabian Kern; Randi Gislefoss; Hilde Langseth; Trine B Rounge; Nicole Ludwig; Eckart Meese
Journal:  RNA Biol       Date:  2020-06-16       Impact factor: 4.652

4.  An estimate of the total number of true human miRNAs.

Authors:  Julia Alles; Tobias Fehlmann; Ulrike Fischer; Christina Backes; Valentina Galata; Marie Minet; Martin Hart; Masood Abu-Halima; Friedrich A Grässer; Hans-Peter Lenhof; Andreas Keller; Eckart Meese
Journal:  Nucleic Acids Res       Date:  2019-04-23       Impact factor: 16.971

5.  miEAA 2.0: integrating multi-species microRNA enrichment analysis and workflow management systems.

Authors:  Fabian Kern; Tobias Fehlmann; Jeffrey Solomon; Louisa Schwed; Nadja Grammes; Christina Backes; Kendall Van Keuren-Jensen; David Wesley Craig; Eckart Meese; Andreas Keller
Journal:  Nucleic Acids Res       Date:  2020-07-02       Impact factor: 16.971

6.  A pig BodyMap transcriptome reveals diverse tissue physiologies and evolutionary dynamics of transcription.

Authors:  Long Jin; Qianzi Tang; Silu Hu; Zhongxu Chen; Xuming Zhou; Bo Zeng; Yuhao Wang; Mengnan He; Yan Li; Lixuan Gui; Linyuan Shen; Keren Long; Jideng Ma; Xun Wang; Zhengli Chen; Yanzhi Jiang; Guoqing Tang; Li Zhu; Fei Liu; Bo Zhang; Zhiqing Huang; Guisen Li; Diyan Li; Vadim N Gladyshev; Jingdong Yin; Yiren Gu; Xuewei Li; Mingzhou Li
Journal:  Nat Commun       Date:  2021-06-17       Impact factor: 14.919

7.  A 10-year prediagnostic follow-up study shows that serum RNA signals are highly dynamic in lung carcinogenesis.

Authors:  Sinan Uğur Umu; Hilde Langseth; Andreas Keller; Eckart Meese; Åslaug Helland; Robert Lyle; Trine B Rounge
Journal:  Mol Oncol       Date:  2020-01-10       Impact factor: 6.603

8.  Common diseases alter the physiological age-related blood microRNA profile.

Authors:  Tobias Fehlmann; Benoit Lehallier; Nicholas Schaum; Oliver Hahn; Mustafa Kahraman; Yongping Li; Nadja Grammes; Lars Geffers; Christina Backes; Rudi Balling; Fabian Kern; Rejko Krüger; Frank Lammert; Nicole Ludwig; Benjamin Meder; Bastian Fromm; Walter Maetzler; Daniela Berg; Kathrin Brockmann; Christian Deuschle; Anna-Katharina von Thaler; Gerhard W Eschweiler; Sofiya Milman; Nir Barziliai; Matthias Reichert; Tony Wyss-Coray; Eckart Meese; Andreas Keller
Journal:  Nat Commun       Date:  2020-11-24       Impact factor: 14.919

9.  CoolMPS: evaluation of antibody labeling based massively parallel non-coding RNA sequencing.

Authors:  Yongping Li; Tobias Fehlmann; Adam Borcherding; Snezana Drmanac; Sophie Liu; Laura Groeger; Chongjun Xu; Matthew Callow; Christian Villarosa; Alexander Jorjorian; Fabian Kern; Nadja Grammes; Eckart Meese; Hui Jiang; Radoje Drmanac; Nicole Ludwig; Andreas Keller
Journal:  Nucleic Acids Res       Date:  2021-01-25       Impact factor: 16.971

10.  The crucial choice of reference genes: identification of miR-191-5p for normalization of miRNAs expression in bone marrow mesenchymal stromal cell and HS27a/HS5 cell lines.

Authors:  É Costé; F Rouleux-Bonnin
Journal:  Sci Rep       Date:  2020-10-20       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.