Biology subjects

Vondriska, T. M.

Publications and source records attributed to Vondriska, T. M..

6 recordsLinked to original sources

bioRxiv2024

Rapid onset fibrotic remodeling and ventricular dysfunction induced by phenylephrine involve targeted reprogramming of myocyte and fibroblast transcriptomes

Catecholamine dysregulation is a common feature of multiple acute and chronic cardiac conditions, including heart failure. To investigate the role of altered -adrenergic stimulation on cardiac function, we developed a short-term exposure model, administering phenylephrine subcutaneously to mice for one week. Compared to vehicle-injected controls, phenylephrine-treated animals exhibited increased ejection fraction, decreased chamber size, diastolic dysfunction and ventricular hypertrophy in the absence of hypertension. Remarkably, these animals developed extensive fibrotic remodeling of the tissue that plateaued at 24 hours and myocyte hypertrophy localized to regions of fibrotic deposition after 3 days of treatment. Transcriptome analyses of purified myocyte and fibroblast populations from these hearts revealed an unexpected role for myocytes in the production of extracellular matrix. Comparison with other models of cardiac stress, including pressure overload hypertrophy and cytokine activation of fibroblasts, identified stimulus-specific transcriptional circuits associated with cardiac pathology. Given the rapid, robust fibrotic response that preceded myocyte hypertrophy, intercellular communication analyses were conducted to investigate fibroblast to myocyte signaling, identifying potential crosstalk between these cells. These studies thoroughly describe and phenotypically characterize a new model of short-term catecholamine stress and provide an atlas of transcriptional remodeling in myocytes and fibroblasts. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=187 SRC="FIGDIR/small/617933v1_ufig1.gif" ALT="Figure 1"> View larger version (59K): org.highwire.dtl.DTLVardef@1e504faorg.highwire.dtl.DTLVardef@a9d5c1org.highwire.dtl.DTLVardef@10809aorg.highwire.dtl.DTLVardef@16b288d_HPS_FORMAT_FIGEXP M_FIG C_FIG

physiology↗

bioRxiv2024

Novel Insights into Post-Myocardial Infarction Cardiac Remodeling through Algorithmic Detection of Cell-Type Composition Shifts

BackgroundRecent advances in single cell sequencing have led to an increased focus on the role of cell-type composition in phenotypic presentation and disease progression. Cell-type composition research in the heart is challenging due to large, frequently multinucleated cardiomyocytes that preclude most single cell approaches from obtaining accurate measurements of cell composition. Our in silico studies reveal that ignoring cell type composition when calculating differentially expressed genes (DEGs) can have significant consequences. For example, a relatively small change in cell abundance of only 10% can result in over 25% of DEGs being false positives. MethodsWe have implemented an algorithmic approach that uses snRNAseq datasets as a reference to accurately calculate cell type compositions from bulk RNAseq datasets through robust data cleaning, gene selection, and multi-sample cross-subject and cross-cell-type deconvolution. We applied our approach to cardiomyocyte-specific 1A adrenergic receptor (CM-1A-AR) knockout mice. 8-12 week-old mice (either WT or CM-1A-KO) were subjected to permanent left coronary artery (LCA) ligation or sham surgery (n=4 per group). Transcriptomes from the infarct border zones were collected 3 days later and analyzed using our algorithm to determine cell-type abundances, corrected differential expression calculations using DESeq2, and validated these findings using RNAscope. ResultsUncorrected DEGs for the CM-1A-KO X LCA interaction term featured many cell-type specific genes such as Timp4 (fibroblasts) and Aplnr (cardiomyocytes) and overall GO enrichment for terms pertaining to cardiomyocyte differentiation (P=3.1E-4). Using our algorithm, we observe a striking loss of cardiomyocytes and gain in fibroblasts in the 1A-KO + LCA mice that was not recapitulated in WT + LCA animals, although we did observe a similar increase in macrophage abundance in both conditions. This recapitulates prior results that showed a much more severe heart failure phenotype in CM-1A-KO + LCA mice. Following correction for cell-type, our DEGs now highlight a novel set of genes enriched for GO terms such as cardiac contraction (P=3.7E-5) and actin filament organization (P=6.3E-5). ConclusionsOur algorithm identifies and corrects for cell-type abundance in bulk RNAseq datasets opening new avenues for research on novel genes and pathways as well as an improved understanding of the role of cardiac cell types in cardiovascular disease.

bioinformatics↗

bioRxiv2024

Decreased Left Atrial Cardiomyocyte FGF13 Expression Increases Vulnerability to Postoperative Atrial Fibrillation in Humans

Postoperative atrial fibrillation (POAF) is the most common complication after cardiac surgery and a significant cause of increased morbidity and mortality. The development of novel POAF therapeutics has been limited by an insufficient understanding of molecular mechanisms promoting atrial fibrillation. In this observational cohort study, we enrolled 28 patients without a history of atrial fibrillation that underwent mitral valve surgery for degenerative mitral regurgitation and obtained left atrial tissue samples along the standard atriotomy incision in proximity to the right pulmonary veins. We isolated cardiomyocytes and performed transcriptome analyses demonstrating 13 differentially expressed genes associated with new-onset POAF. Notably, decreased expression of fibroblast growth factor 13 (FGF13), a fibroblast growth factor homologous factor known to modulate voltage-gated sodium channel NaV1.5 inactivation, had the most significant association with POAF. To assess the functional significance of decreased FGF13 expression in atrial myocytes, we performed patch clamp experiments on neonatal rat atrial myocytes after siRNA-mediated FGF13 knockdown, demonstrating action potential prolongation. These critical findings indicate that decreased FGF13 expression promotes vulnerability to POAF.

genomics↗

bioRxiv2023

Circadian Control of Histone Turnover During Cardiac Development and Growth

Rationale: During postnatal cardiac hypertrophy, cardiomyocytes undergo mitotic exit, relying on DNA replication-independent mechanisms of histone turnover to maintain chromatin organization and gene transcription. In other tissues, circadian oscillations in nucleosome occupancy influence clock-controlled gene expression, suggesting an unrecognized role for the circadian clock in temporal control of histone turnover and coordinate cardiomyocyte gene expression. Objective: To elucidate roles for the master circadian transcription factor, Bmal1, in histone turnover, chromatin organization, and myocyte-specific gene expression and cell growth in the neonatal period. Methods and Results: Bmal1 knockdown in neonatal rat ventricular myocytes (NRVM) decreased myocyte size, total cellular protein, and transcription of the fetal hypertrophic gene Nppb following treatment with increasing serum concentrations or the -adrenergic agonist phenylephrine (PE). Bmal1 knockdown decreased expression of clock-controlled genes Per2 and Tcap, and salt-inducible kinase 1 (Sik1) which was identified via gene ontology analysis of Bmal1 targets upregulated in adult versus embryonic hearts. Epigenomic analyses revealed co-localized chromatin accessibility and Bmal1 localization in the Sik1 promoter. Bmal1 knockdown impaired Per2 and Sik1 promoter accessibility as measured by MNase-qPCR and impaired histone turnover indicated by metabolic labeling of acid-soluble chromatin fractions and immunoblots of total and chromatin-associated core histones. Sik1 knockdown basally increased myocyte size, while simultaneously impairing and driving Nppb and Per2 transcription, respectively. Conclusions: Bmal1 is required for neonatal myocyte growth, replication-independent histone turnover, and chromatin organization at the Sik1 promoter. Sik1 represents a novel clock-controlled gene that coordinates myocyte growth with hypertrophic and clock-controlled gene transcription.

molecular biology↗

bioRxiv2022

Histone H1.0 Couples Cellular Mechanical Behaviors to Chromatin Structure

Tuning of genome structure and function is accomplished by chromatin binding proteins, which determine the transcriptome and phenotype of the cell. We sought to investigate how communication between extracellular stress and chromatin structure may regulate cellular mechanical behaviors. We demonstrate that the linker histone H1.0, which compacts nucleosomes into higher order chromatin fibers, controls genome organization and cellular stress response. Histone H1.0 has privileged expression in fibroblasts across tissue types in mice and humans, and modulation of its expression is necessary and sufficient to mount a myofibroblast phenotype in these cells. Depletion of histone H1.0 prevents transforming growth factor beta (TGF-{beta})-induced fibroblast contraction, proliferation and migration in a histone H1 isoform-specific manner via inhibition of a transcriptome comprised of extracellular matrix, cytoskeletal and contractile genes. Histone H1.0 is associated with local regulation of gene expression via mechanisms involving chromatin fiber compaction and reprogramming of histone acetylation, rendering the cell stiffer in response to cytokine stimulation. Knockdown of histone H1.0 prevented locus-specific histone H3 lysine 27 acetylation by TGF-{beta} and decreased levels of both HDAC1 and the chromatin reader BRD4, thereby preventing transcription of a fibrotic gene program. Transient depletion of histone H1.0 in vivo decompacts chromatin and prevents fibrosis in cardiac muscle, thereby linking chromatin structure with fibroblast phenotype in response to extracellular stress. Our work identifies an unexpected role of linker histones to orchestrate cellular mechanical behaviors, directly coupling cellular force generation, nuclear organization and gene transcription. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=166 SRC="FIGDIR/small/518399v1_ufig1.gif" ALT="Figure 1"> View larger version (103K): org.highwire.dtl.DTLVardef@11a38e1org.highwire.dtl.DTLVardef@8c4ab4org.highwire.dtl.DTLVardef@7c822aorg.highwire.dtl.DTLVardef@45d02b_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

bioRxiv2022

genomeSidekick: a user-friendly epigenomics data analysis tool

Recent advances in epigenomics measurements have resulted in a preponderance of genomic sequencing datasets that require focused analyses to discover mechanisms governing biological processes. In addition, multiple epigenomics experiments are typically performed within the same study, thereby increasing the complexity and difficulty of making meaningful inferences from large datasets. One gap in the sequencing data analysis pipeline is the availability of tools to efficiently browse genomic data for scientists that do not have bioinformatics training. To bridge this gap, we developed genomeSidekick, a graphical user interface written in R that allows researchers to perform bespoke analyses on their transcriptomic and chromatin accessibility or chromatin immunoprecipitation data without the need for command line tools. Importantly, genomeSidekick outputs lists of up- and downregulated genes or chromatin features with differential accessibility or occupancy; visualizes omics data using interactive volcano plots; performs Gene Ontology analyses locally; and queries PubMed for selected gene candidates for further evaluation. Outputs can be saved using the user interface and the code underlying genomeSidekick can be edited for custom analyses. In summary, genomeSidekick brings wet lab scientists and bioinformaticians into a shared fluency with the end goal of driving mechanistic discovery.

genomics↗