Biology subjects

Dhawan, J.

Publications and source records attributed to Dhawan, J..

4 recordsLinked to original sources

bioRxiv2018

Cytoplasmic sequestration of the RhoA effector mDiaphanous1 by Prohibitin2 promotes muscle differentiation

Adhesion and growth factor dependent signalling control muscle gene expression through common effectors, coupling cytoskeletal dynamics to transcriptional activation. Earlier, we showed that mDiaphanous1, an effector of adhesion-dependent RhoA-signalling promotes MyoD expression in myoblasts, linking contractility to lineage determination. Here, we report that paradoxically, mDia1 negatively regulates MyoD function in myotubes. Knockdown of endogenous mDia1 during differentiation enhances MyoD and Myogenin expression, while over-expression of mDia1{Delta}N3, a RhoA-independent mutant, suppresses Myogenin promoter activity and expression. We investigated mechanisms that may counteract mDia1 to promote Myogenin expression and timely differentiation by analysing mDia1-interacting proteins. We report that mDia1 has a stage-specific interactome, including Prohibitin2, MyoD, Akt2, and {beta}-Catenin, of which Prohibitin2 colocalises with mDia1 in cytoplasmic punctae and opposes mDia1 function in myotubes. Co-expression of mDia1-binding domains of Prohibitin2 reverses the anti-myogenic effects of mDia1{Delta}N3. Our results suggest that Prohibitin2 sequesters mDiaphanous1 to dampen its activity and finetune RhoA-mDiaphanous1 signalling to promote differentiation. Overall, we report that mDia1 is multi-functional signaling effector with opposing functions in different cellular stages, but is modulated by a differentiation-dependent interactome.\n\nSummary statementmDia1 has common and stage-specific functions in muscle cells. In myotubes, mDia1 is sequestered by an interacting protein Prohibitin2, which promotes Myogenin expression and mitigates mDia1s inhibitory effects on differentiation.\n\nGraphical abstract\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=119 SRC=\"FIGDIR/small/283044v1_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (28K):\norg.highwire.dtl.DTLVardef@1b1578eorg.highwire.dtl.DTLVardef@1eb6b13org.highwire.dtl.DTLVardef@c2c913org.highwire.dtl.DTLVardef@1f1f9c_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

bioRxiv2018

RNA polymerase II pausing regulates a quiescence-dependent transcriptional program, priming cells for cell cycle reentry

Adult stem cells persist in mammalian tissues by entering a state of reversible arrest or quiescence associated with low transcription. Using cultured myoblasts and primary muscle stem cells, we show that RNA synthesis is strongly repressed in G0, returning within minutes of activation. We investigate the underlying mechanism and reveal a role for promoter-proximal RNAPol II pausing: by mapping global Pol II occupancy using ChIP-seq, in conjunction with RNA-seq to identify repressed transcriptional networks unique to G0. Strikingly, Pol II pausing is enhanced in G0 on genes encoding regulators of RNA biogenesis (Ncl, Rps24, Ctdp1), and release of pausing is critical for cell cycle re-entry. Finally, we uncover a novel, unexpected repressive role of the super-elongation complex component Aff4 in G0-specific stalling. We propose a model wherein Pol II pausing restrains transcription to maintain G0, preconfigures gene networks required for the G0-G1 transition, and sets the timing of their transcriptional activation.

developmental biology↗

bioRxiv2017

PDGFRα signaling in cardiac stem and stromal cells modulates quiescence, metabolism and self-renewal, and promotes anatomical and functional repair

The interstitial and perivascular spaces of the mammalian heart contain a highly interactive tissue community essential for cardiac homeostasis, repair and regeneration. Mesenchymal cells (fibroblasts) are one of the most abundant cell types, playing key roles as sentinels, tissue architects, paracrine signaling hubs and lineage precursors, and are linked to heart disease through their roles in inflammation and fibrosis. Platelet-derived growth factors (PDGFs) are secreted by several cell types involved in cardiac injury and repair, and are recognized mitogens for cardiac fibroblasts and mesenchymal stem cells. However, their roles are complex and investigations of their impact on heart repair have produced contrasting outcomes, leaving therapeutic potential uncertain. Here, we use new approaches and tools, including single cell RNA sequencing, to explore cardiac fibroblast heterogeneity and how PDGF receptor (PDGFR) signaling impacts fibroblasts during heart repair. Short-term systemic delivery of PDGF-AB to mice from the time of myocardial infarction (MI) led to enhanced anatomical and functional recovery. Underpinning these benefits was a priming effect, in which PDGF-AB accelerated exit of fibroblasts from quiescence and induced a higher translational biosynthetic capacity in both fibroblasts and macrophages without triggering fibrosis. Our study highlights the significant biosynthetic heterogeneity and plasticity in cardiac fibroblast populations, and suggests a rationale for a novel therapeutic approach to cardiac injury involving controlled stimulation of fibroblast activation.

cell biology↗

bioRxiv2017

C-State: An interactive web app for simultaneous multi-gene visualization and comparative epigenetic pattern search

BackgroundComparative epigenomic analysis across multiple genes presents a bottleneck for bench biologists working with NGS data. Despite the development of standardized peak analysis algorithms, the identification of novel epigenetic patterns and their visualization across gene subsets remains a challenge.\n\nResultsWe developed a fast and interactive web app, C-State (Chromatin-State), to query and plot chromatin landscapes across multiple loci and cell types. C-State has an interactive, JavaScript- based graphical user interface and runs locally in modern web browsers that are pre-installed on all computers, thus eliminating the need for cumbersome data transfer, pre-processing and prior programming knowledge.\n\nConclusionsC-State is unique in its ability to extract and analyze multi-gene epigenetic information. It allows for powerful GUI-based pattern searching and visualization. We include a case study to demonstrate its potential for identifying user-defined epigenetic trends in context of gene expression profiles.

bioinformatics↗