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The role of long noncoding RNAs in T-cell acute lymphoblastic leukemia

ABSTRACT: T-cell acute lymphoblastic leukemia (T-ALL) is genetically heterogeneous and can be classified into genetic subclasses based on protein coding gene expression profiles. Thus far, long noncoding RNAs (lncRNAs), representing one of the largest fractions of the human transcriptome, remained unexplored as genetics markers for distinct T-ALL subtypes. Therefore, we here determined, for the first time, lncRNA expression profiles in lymphoblasts of 64 T-ALL patients and identified a robust set of lncRNAs that discriminate previously established genetic subtypes of human T-ALL. Half of these lncRNAs were positively correlated with the expression levels of neighboring protein coding genes located in their immediate vicinity, hinting towards cis-regulatory functions. In addition, gene set enrichment analysis showed that these lncRNA signatures were also recapitulated in human T-ALL cell lines representative for the different genetic subclasses, suggesting that these tumor lines could serve as valuable in vitro cellular model systems for further functional lncRNA studies. Finally, comparison of T-ALL lncRNA signatures with those from stage-specific normal developing human thymocytes revealed multiple ectopically expressed, putative oncogenic lncRNAs. Our data identify lncRNAs novel genetic markers in T-ALL biology and warrant further in depth investigations towards landscaping of their specific role in thymopoiesis and leukemogenesis.

ORGANISM(S): Homo sapiens

PROVIDER: GSE74272 | GEO | 2016/05/17

SECONDARY ACCESSION(S): PRJNA299676

REPOSITORIES: GEO

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Project description:Background: Long non-coding RNAs (lncRNAs) are increasingly implicated as gene regulators and may ultimately be more numerous than protein-coding genes in the human genome. Despite large numbers of reported lncRNAs, reference annotations are likely incomplete due to their lower and tighter tissue-specific expression compared to mRNAs. An unexplored factor potentially confounding lncRNA identification is inter-individual expression variability. Here, we characterize lncRNA natural expression variability in human primary granulocytes. Results: We annotate granulocyte lncRNAs and mRNAs in RNA-seq data from ten healthy individuals, identifying multiple lncRNAs absent from reference annotations, and use this to investigate three known features (higher tissue-specificity, lower expression, and reduced splicing efficiency) of lncRNAs relative to mRNAs. Expression variability was examined in seven individuals sampled three times at one or more than one month intervals. We show that lncRNAs display significantly more inter-individual expression variability compared to mRNAs. We confirm this finding in 2 independent human datasets by analyzing multiple tissues from the GTEx project and lymphoblastoid cell lines from the GEUVADIS project. Using the latter dataset we also show that including more human donors into the transcriptome annotation pipeline allows identification of an increasing number of lncRNAs, but minimally affects mRNA gene number. Conclusions: A comprehensive annotation of lncRNAs is known to require an approach that is sensitive to low and tight tissue-specific expression. Here we show that increased inter-individual expression variability is an additional general lncRNA feature to consider when creating a comprehensive annotation of human lncRNAs or proposing their use as prognostic or disease markers. We used PolyA+ RNA-seq data from human primary granulocytes of 10 healthy individuals to de novo annotate lncRNAs and mRNAs in this cell type and ribosomal depleted (total) RNA-seq data from seven of these individuals sampled three times to analyze lncRNA amd mRNA expression variability

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The role of long noncoding RNAs in T-cell acute lymphoblastic leukemia

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