Although antisense transcription is a widespread event in the mammalian genome, double-stranded RNA (dsRNA) formation between sense and antisense transcripts is very rare and mechanisms that control dsRNA remain unknown. By characterizing the FGF-2 regulated transcriptome in normal and cancer cells, we identified sense and antisense transcripts IER3 and IER3-AS1 that play a critical role in FGF-2 controlled oncogenic pathways. We show that IER3 and IER3-AS1 regulate each other's transcription through HnRNPK-mediated post-transcriptional regulation.
View Article and Find Full Text PDFMassive data produced due to the advent of next-generation sequencing (NGS) technology is widely used for biological researches and medical diagnosis. The crucial step in NGS analysis is read alignment or mapping which is computationally intensive and complex. The mapping bias tends to affect the downstream analysis, including detection of polymorphisms.
View Article and Find Full Text PDFAnalysis of large data sets using computational and mathematical tools have become a central part of biological sciences. Large amounts of data are being generated each year from different biological research fields leading to a constant development of software and algorithms aimed to deal with the increasing creation of information. The BioMet Toolbox 2.
View Article and Find Full Text PDFAspergillus terreus is a filamentous ascomycota, which is prominent for its production of lovastatin, an antihypercholesterolemic drug. The commercial importance of lovastatin with annual sales of billions of dollars made us to focus on lovastatin biosynthetic cluster proteins. The analysis of these lovastatin biosynthetic cluster proteins with different perspectives such as physicochemical property, structure based analysis and functional studies were done to find out the role and function of every protein involved in the lovastatin biosynthesis pathway.
View Article and Find Full Text PDFUnlabelled: The advent of genomic and proteomic technologies in this post-genomic era has urged the researchers to develop novel research strategies against cancer by targeting the human genes that would greatly facilitate to identify more promising treatment and to develop accurate early diagnosis for cancer. To harness the power of cancer genetic information towards better treatment we have developed a cancer gene database called CanGeneBase (CGB). It is a comprehensive data collection of cancer-related genes with the intention of helping the researchers to stay on a single platform to gain exclusive information on the genes of their interest.
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