Unknown

Dataset Information

0

LncRNAs-mRNAs Co-Expression Network Underlying Childhood B-Cell Acute Lymphoblastic Leukaemia: A Pilot Study.


ABSTRACT: Long non-coding RNAs (lncRNAs) are emerging as key gene regulators in the pathogenesis and development of various cancers including B lymphoblastic leukaemia (B-ALL). In this pilot study, we used RNA-Seq transcriptomic data for identifying novel lncRNA-mRNA cooperative pairs involved in childhood B-ALL pathogenesis. We conceived a bioinformatic pipeline based on unsupervised PCA feature extraction approach and stringent statistical criteria to extract potential childhood B-ALL lncRNA signatures. We then constructed a co-expression network of the aberrantly expressed lncRNAs (30) and protein-coding genes (754). We cross-validated our in-silico findings on an independent dataset and assessed the expression levels of the most differentially expressed lncRNAs and their co-expressed mRNAs through ex vivo experiments. Using the guilt-by-association approach, we predicted lncRNA functions based on their perfectly co-expressed mRNAs (Spearman's correlation) that resulted closely disease-associated. We shed light on 24 key lncRNAs and their co-expressed mRNAs which may play an important role in B-ALL pathogenesis. Our results may be of clinical utility for diagnostic and/or prognostic purposes in paediatric B-ALL management.

SUBMITTER: Affinito O 

PROVIDER: S-EPMC7564554 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

lncRNAs-mRNAs Co-Expression Network Underlying Childhood B-Cell Acute Lymphoblastic Leukaemia: A Pilot Study.

Affinito Ornella O   Pane Katia K   Smaldone Giovanni G   Orlandella Francesca Maria FM   Mirabelli Peppino P   Beneduce Giuliana G   Parasole Rosanna R   Ripaldi Mimmo M   Salvatore Marco M   Franzese Monica M  

Cancers 20200902 9


Long non-coding RNAs (lncRNAs) are emerging as key gene regulators in the pathogenesis and development of various cancers including B lymphoblastic leukaemia (B-ALL). In this pilot study, we used RNA-Seq transcriptomic data for identifying novel lncRNA-mRNA cooperative pairs involved in childhood B-ALL pathogenesis. We conceived a bioinformatic pipeline based on unsupervised PCA feature extraction approach and stringent statistical criteria to extract potential childhood B-ALL lncRNA signatures.  ...[more]

Similar Datasets

| S-EPMC6986894 | biostudies-literature
| S-EPMC3816716 | biostudies-literature
| S-EPMC2359674 | biostudies-other
| S-EPMC5725770 | biostudies-other
| S-EPMC4991739 | biostudies-literature
| S-EPMC5589998 | biostudies-literature
| S-EPMC1187145 | biostudies-literature
| S-EPMC8024196 | biostudies-literature
| S-EPMC6341812 | biostudies-literature
| S-EPMC4366894 | biostudies-other