Please use this identifier to cite or link to this item: doi:10.22028/D291-30340
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Title: A high-resolution map of the human small non-coding transcriptome
Author(s): Fehlmann, Tobias
Backes, Christina
Alles, Julia
Fischer, Ulrike
Hart, Martin
Kern, Fabian
Langseth, Hilde
Rounge, Trine
Umu, Sinan Ugur
Kahraman, Mustafa
Laufer, Thomas
Haas, Jan
Staehler, Cord
Ludwig, Nicole
Hübenthal, Matthias
Meder, Benjamin
Franke, Andre
Lenhof, Hans-Peter
Meese, Eckart
Keller, Andreas
Language: English
Title: Bioinformatics
Volume: 34
Issue: 10
Startpage: 1621
Endpage: 1628
Publisher/Platform: Oxford University Press
Year of Publication: 2018
Publikation type: Journal Article
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.
DOI of the first publication: 10.1093/bioinformatics/btx814
URL of the first publication:
Link to this record: hdl:20.500.11880/28748
ISSN: 1367-4811
Date of registration: 20-Feb-2020
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Prof. Dr. Hans-Peter Lenhof
Collections:UniBib – Die Universitätsbibliographie

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