Functional annotation of human long noncoding RNAs via molecular phenotyping
Publikation: Beitrag in Fachzeitschrift › Forschungsartikel › Beigetragen › Begutachtung
Beitragende
- RIKEN
- Università degli Studi di Trieste
- RAS - Engelhardt Institute of Molecular Biology
- RAS - Institute of Protein Research
- University of Toronto
- National University of Singapore
- University of Edinburgh
- Aalborg University
- Imperial College London
- Medical Research Council (MRC)
- Max-Delbrück-Centrum für Molekulare Medizin (MDC)
- Russian Academy of Sciences
- Hiroshima University
- Barcelona Institute of Science and Technology (BIST)
- University of Cape Town
- McGill University
- University of Birmingham
- Stanford University
- ETH Zurich
- Johns Hopkins University
- Weizmann Institute of Science
- IRCCS Fondazione Santa Lucia - Roma
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE)
- Osaka University
Abstract
Long noncoding RNAs (lncRNAs) constitute the majority of transcripts in the mammalian genomes, and yet, their functions remain largely unknown. As part of the FANTOM6 project, we systematically knocked down the expression of 285 lncRNAs in human dermal fibroblasts and quantified cellular growth, morphological changes, and transcriptomic responses using Capped Analysis of Gene Expression (CAGE). Antisense oligonucleotides targeting the same lncRNAs exhibited global concordance, and the molecular phenotype, measured by CAGE, recapitulated the observed cellular phenotypes while providing additional insights on the affected genes and pathways. Here, we disseminate the largest-todate lncRNA knockdown data set with molecular phenotyping (over 1000 CAGE deep-sequencing libraries) for further exploration and highlight functional roles for ZNF213-AS1 and lnc-KHDC3L-2.
Details
Originalsprache | Englisch |
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Seiten (von - bis) | 1060-1072 |
Seitenumfang | 13 |
Fachzeitschrift | Genome Research |
Jahrgang | 30 |
Ausgabenummer | 7 |
Frühes Online-Datum | 27 Juli 2020 |
Publikationsstatus | Veröffentlicht - 27 Juli 2020 |
Peer-Review-Status | Ja |
Externe IDs
PubMed | 32718982 |
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