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Biology subjects

Prasanth, K. V.

Publications and source records attributed to Prasanth, K. V..

3 recordsLinked to original sources

Splicing Factor SRSF1 Deficiency in the Liver Triggers NASH-like Pathology via R-Loop Induced DNA Damage and Cell Death

Regulation of RNA processing contributes profoundly to tissue development and physiology. Here, we report that serine-arginine-rich splicing factor 1 (SRSF1) is essential for hepatocyte function and survival. Although SRSF1 is mainly known for its many roles in mRNA metabolism, it is also crucial for maintaining genome stability. We show that acute liver damage in the setting of targeted SRSF1 deletion in mice is primarily mediated by the excessive formation of deleterious RNA-DNA hybrids (R-loops), which induce DNA damage. Combining hepatocyte-specific transcriptome, proteome, and RNA binding analyses, we demonstrate that widespread genotoxic stress following SRSF1 depletion results in global inhibition of mRNA transcription and protein synthesis, leading to impaired metabolism and trafficking of lipids. Lipid accumulation in SRSF1-deficient hepatocytes is followed by necroptotic cell death, inflammation, and fibrosis, resulting in NASH-like liver pathology. Importantly, SRSF1-depleted human liver cancer cells recapitulate this pathogenesis illustrating a conserved and fundamental role for SRSF1 in preserving genome integrity and tissue homeostasis. Thus, our study uncovers how accumulation of detrimental R-loops impedes hepatocellular gene expression, triggering metabolic derangements and liver failure.

cell biology↗

Orc6 at replication fork enables efficient mismatch repair

In eukaryotes, the Origin Recognition Complex (ORC) is required for the initiation of DNA replication. The smallest subunit of ORC, Orc6, is essential for pre-replication complex (pre-RC) assembly and cell viability in yeast and for cytokinesis in metazoans. However, unlike other ORC components, the role of human Orc6 in replication remains to be resolved. Here, we identify an unexpected role for hOrc6, which is to promote S-phase progression post pre-RC assembly and DNA damage response. Orc6 localizes at the replication fork and is an accessory factor of the mismatch repair (MMR) complex. In response to oxidative damage during S-phase, often repaired by MMR, Orc6 facilitates MMR complex assembly and activity, without which the checkpoint signaling is abrogated. Mechanistically, Orc6 directly binds to MutS and enhances the chromatin-association of MutL, thus enabling efficient mismatch repair. Based on this, we conclude that hOrc6 plays a fundamental role in genome surveillance during S-phase. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=196 SRC="FIGDIR/small/443400v1_ufig1.gif" ALT="Figure 1"> View larger version (54K): org.highwire.dtl.DTLVardef@bfdaa8org.highwire.dtl.DTLVardef@1ac791dorg.highwire.dtl.DTLVardef@436d1corg.highwire.dtl.DTLVardef@b07689_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIHuman Orc6 is dispensable for G1 licensing, but required for S-phase progression C_LIO_LIHuman Orc6 at the replication fork is an accessory factor for MMR complex C_LIO_LIDepletion of hOrc6 sensitizes cells to DNA damage and impairs ATR activation C_LIO_LIHuman Orc6 regulates MMR complex assembly and activity C_LI

molecular biology↗

Mechanistic analysis of enhancer sequences in the Estrogen Receptor transcriptional program

BackgroundEstrogen Receptor (ER) is a major lineage determining transcription factor (TF) in mammary gland development, orchestrating the expression of thousands of genes. Dysregulation of ER-mediated transcriptional program results in abnormal cell proliferation and cancer. Transcriptomic and epigenomic profiling of breast cancer cell lines has revealed large numbers of enhancers involved in this regulatory program, but how these enhancers encode function in their sequence remains poorly understood. ResultsA subset of ER-bound enhancers are transcribed into short bidirectional RNA (enhancer RNA or eRNA), and this property is believed to be a reliable marker of active enhancers. We therefore analyze thousands of ER-bound enhancers and build quantitative, mechanism-aware models to discriminate eRNAs from non-transcribing enhancers based on their sequence. Our thermodynamics-based models provide insights into the roles of specific TFs in ER-mediated transcriptional program, many of which are supported by the literature. We use in silico perturbations to predict TF-enhancer regulatory relationships and integrate these findings with experimentally determined enhancer-promoter interactions to construct a gene regulatory network. We also demonstrate that the model can prioritize breast cancer-related sequence variants while providing mechanistic explanations for their function. Finally, we experimentally validate the model-proposed mechanisms underlying three such variants. ConclusionsWe modeled the sequence-to-expression relationship in ER-driven enhancers and gained mechanistic insights into the workings of a major transcriptional program. Our model is consistent with the current body of knowledge and its predictions are confirmed by experimental observations. We believe this to be a promising approach to analysis of regulatory sequences and variants.

bioinformatics↗