Genome ResearchGenomicsPeer-reviewed journal article
Functional Annotation of Human Long Non-Coding RNAs via Molecular Phenotyping
Jordan A. RamilowskiiD, Chi Wai YipiD, Saumya AgrawaliD, Jen-Chien ChangiD, Yari CianiiD, Ivan V. KulakovskiyiD, Mickaël MendeziD, Jasmine Li Ching Ooi, John F. OuyangiD, Nick ParkinsoniD, Andreas PetriiD, Leonie RoosiD, Jessica SeveriniD, Kayoko YasuzawaiD, Imad AbugessaisaiD, Altuna AkaliniD, Ivan AntonoviD, Erik ArneriD, Alessandro BonettiiD, Hidemasa U. BonoiD, Beatrice BorsariiD, Frank BrombacheriD, Christopher J. F. CameroniD, Carlo Vittorio CannistraciiD, Ryan Cardenas, , Chinatsu Yamamoto
- Citations
- 178
Abstract
Long non-coding RNAs (lncRNAs) constitute the majority of transcripts in the mammalian genomes and yet, their functions remain largely unknown. We systematically knockdown 285 lncRNAs expression 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 lncRNA 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 to-date lncRNA knockdown dataset with molecular phenotyping (over 1,000 CAGE deep-sequencing libraries) for further exploration and highlight functional roles for ZNF213-AS1 and lnc-KHDC3L-2.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- approach: statistical model
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