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Al-Dasim, F. M.

Publications and source records attributed to Al-Dasim, F. M..

2 recordsLinked to original sources

Identification of human genetic variants controlling circular RNA expression

Circular RNAs (circRNAs) are abundant in eukaryotic transcriptomes and have been linked to various human disorders. However, understanding genetic control of circular RNA expression is in early stages. Here we present the first integrated analysis of circRNAs and genome sequence variation from lymphoblastoid cell lines of the 1000 genomes project. We identified thousands of circRNAs in the RNA-seq data and show their association with local single nucleotide polymorphic sites, referred to as circQTLs, which influence the circRNA transcript abundance. Strikingly, we found that circQTLs exist independently of eQTLs with most circQTLs having no effect on mRNA expression. Only a fraction of the polymorphic sites are shared and linked to both circRNA and mRNA expression with mostly similar effects on circular and linear RNA. A shared intronic QTL, rs55928920, of HMSD gene drives the circular and linear expression in opposite directions, potentially modulating circRNA levels at the expense of mRNA. Finally, circQTLs and eQTLs are largely independent and exist in separate linkage disequilibrium (LD) blocks with circQTLs highly enriched for functional genomic elements and regulatory regions. This study reveals a previously uncharacterized role of DNA sequence variation in human circular RNA regulation.

genomics

TGF-β Mediated Cell Adhesion Dynamics and Epithelial to Mesenchymal Transition in 3D and 2D Ovarian Cancer Models

BackgroundThree-dimensional (3D) tumor cultures in vitro have recently regained attention as they have been acclaimed to have higher similarity to in vivo tumors than cells grown in conventional monolayers (2D). Cancer cells in 2D monolayers fail to mimic the exact tumor microenvironment existing in the real clinical samples. The 3D anchorage-independent cancer models can better explain the cell adhesion properties in ovarian cancer cells.\n\nResultsTranscriptome profiling of 3D models compared to 2D models in various cancer cell lines shows differential expression of TGF-{beta}-mediated and cell adhesion pathways. Presence of TGF-{beta} in these cell lines shows an increased invasion potential which is specific to cell type. We decided to choose two ovarian cancer cell lines as model systems to study Epithelial to Mesenchymal Transition (EMT) and cancer invasion based on their invasion potential and ability to switch the cadherins expression. TGF-{beta} modulation in EMT and cancer invasion was successfully depicted in both 2D and 3D models of SKOV3 and CAOV3 cell lines. Functional evaluations in 3D and 2D models demonstrate that the addition of the exogenous TGF-{beta} can induce EMT and invasion in cancer cells by turning them into aggressive phenotypes. TGF-{beta} receptor kinase I inhibitor (LY364947) can revert TGF-{beta} effect in these cells.\n\nConclusionsIn a nutshell, TGF-{beta} can induce EMT and migration, increase aggressiveness, increase cell survival, alter cell characteristics, remodel the Extracellular Matrix (ECM) and increase cell metabolism favorable for tumor invasion and metastasis.

cancer biology