Project description:Identification of the all RNA species coding and non-coding in total RNA Relationship between DNMT1-RNA interactions, DNA methylation and gene expression
Project description:Identification of the all RNA species associated with DNMT1. Using a comparative genome-scale approach we identified and correlated the RNA species physically associated with DNMT1 and proximal to the annotated genes to the methylation status of the corresponding loci and expression levels of the respective genes. This comparative approach delineated the first -DNMT1 centered- 'epitranscriptome' map, a comprehensive map cross-referencing DNMT1-interacting transcripts to (i) DNA methylation and (ii) gene expression profile.
Project description:Non-poly(A) RNA molecules including noncoding RNAs (ncRNAs) comprise the major portion of the total transcribed molecules in the cell. In addition to the mRNAs the ncRNAs also function as ribonucleoprotein particles (RNPs) and carry out biological functions including synthesis of new proteins, RNA processing, genome remodelling and regulation of transcription. We therefore envisaged a comprehensive transcriptome-wide identification of coding and non-coding RNA-binding proteins (RBPs) in the Leishmania spp. Towards this we applied the recently reported orthogonal organic phase separation (OOPS) method in combination with tandem mass tag (TMT) labelling-based quantitative proteomic mass spectrometry (MS) and report herein the most comprehensive identification of RBPs in Leishmania mexicana (L. mexicana) parasites. This study identified novel RNA binding property of thousands of L. mexicana proteins, significantly expanding the RBP landscape of the parasite. Furthermore, we showed that the classical Hsp90 inhibitor tanespimycin differentially regulates the RNA-binding property of hundreds of L. mexicana RBPs, shedding light into hitherto unknown large-scale downstream molecular effects of the small molecule inhibitor in the parasite.
Project description:Identification of the all RNA species associated with DNMT1. Using a comparative genome-scale approach we identified and correlated the RNA species physically associated with DNMT1 and proximal to the annotated genes to the methylation status of the corresponding loci and expression levels of the respective genes. This comparative approach delineated the first -DNMT1 centered- 'epitranscriptome' map, a comprehensive map cross-referencing DNMT1-interacting transcripts to (i) DNA methylation and (ii) gene expression profile. Relationship between DNMT1-RNA interactions, DNA methylation and gene expression
Project description:We describe Smart-seq-total, a method capable of assaying a broad spectrum of coding and non-coding RNA from a single cell. Built upon the template-switch mechanism, Smart-seq-total bears the key feature of its predecessor, Smart-seq2, namely, the ability to capture full-length transcripts with high yield and quality. It outperforms current poly(A)–independent total RNA-seq protocols by capturing transcripts of a broad size range, thus, allowing us to simultaneously analyze protein-coding, long non-coding, microRNA and other non-coding RNA from single cells. We used Smart-seq-total to analyze the total RNAome of human primary fibroblasts, HEK293T and MCF7 cells as well as that of induced murine embryonic stem cells differentiated into embryoid bodies. We show that simultaneous measurement of non-coding RNA and mRNA from the same cell enables elucidation of new roles of non-coding RNA throughout essential processes such as cell cycle or lineage commitment. Moreover, we show that cell types can be distinguished based on the abundance of non-coding transcripts only.
Project description:This is a delay differential equation model showing how non-coding RNA, acting as microRNA (miRNA) sponges in a conserved RNA-transcription factor feedback motif, can five rise to oscillatory behaviour.