The Landscape of Long Noncoding RNAs in the Human Transcriptome
By Matthew K. Iyer, Y. Niknafs, Rohit Malik, Udit Singhal, Anirban Sahu, Yasuyuki Hosono, T. Barrette, John R. Prensner, Joseph R Evans, Shuang G Zhao and 9 more. Nature Genetics, 2015
2,524 citations recorded by the source corpus.
Long noncoding RNAs (lncRNAs) are emerging as important regulators of tissue physiology and disease processes including cancer. To delineate genome-wide lncRNA expression, we curated 7,256 RNA sequencing (RNA-seq) libraries from tumors, normal tissues and cell lines comprising over 43 Tb of sequence from 25 independent studies. We applied ab initio assembly methodology to this data set, yielding a consensus human transcriptome of 91,013 expressed genes. Over 68% (58,648) of genes were classified as lncRNAs, of which 79% were previously unannotated. About 1% (597) of the lncRNAs harbored ultraconserved elements, and 7% (3,900) overlapped disease-associated SNPs. To prioritize lineage-specific, disease-associated lncRNA expression, we employed non-parametric differential expression testing and nominated 7,942 lineage- or cancer-associated lncRNA genes. The lncRNA landscape characterized here may shed light on normal biology and cancer pathogenesis and may be valuable for future biomarker development.
Subfields: Cancer Research, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/c9f8f7995253057b5509aca1a3f898155c6f8846
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Citations in the corpus
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- Comprehensive Genomic Characterization of Long Non-Coding RNAs across Human Cancers (2015, background): “In addition to the fact that they are highly deregulated in tumors (Akrami et al., 2013; Calin et al., 2007; Du et al., 2013; Iyer et al., 2015; Kim et al., 2014; Li et al., 2015; Ling et al., 2013; Prensner et al., 2011; Trimarchi et al., 2014; Xing et al., 2014), lncRNAs have been found to act as…”
- GENCODE: reference annotation for the human and mouse genomes in 2023 (2022, background): “These panels target a large number of GENCODE-unannotated elements in external ncRNA catalogues such as Bigtranscriptome (31), FANTOMCat (32) and miTranscriptome (33) and computational predictions.”
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