Biology subjects

Van Bortle, K.

Publications and source records attributed to Van Bortle, K..

8 recordsLinked to original sources

bioRxiv2026

Reciprocal effective conductance-based inference of protein-protein relationships delineates protein network hubs and macromolecular properties

Protein-protein interactions (PPIs) are fundamental to the regulation and function of all cellular processes, yet our current understanding of the human interactome is limited by the specific PPI-related experiments performed to date. Moreover, whereas proteins with minimal research interest may have relatively few interaction-probing studies, other factors such as cancer related proteins are frequently represented in PPI studies, producing a highly uneven bias across current PPI data. Here, we apply effective conductance - a concept from circuit theory - to infer proximity relationships across all individual protein pairs on the basis of 1.2 million reported human PPI observations. Using a reciprocal analysis framework built on effective conductance, we identify statistically meaningful interactions within the network while otherwise filtering nonrelevant associations that are abundant in proteins with strong popularity bias. While this approach helps clarify the structural and functional properties of both minimally and maximally connected proteins, we further compute an interaction index between all macromolecular, multi-subunit complexes based on underlying protein-protein conductance scores. Leveraging this framework, which we name CoBRAA (Conductance-Based Reciprocal Association Analysis), we highlight unexpected findings, such as evidence that DNA-dependent RNA polymerase I, II, and III are characterized by surprisingly pervasive cross-complex interactions between enzyme-specific subunits, suggesting a potential for crosstalk between all three RNA polymerases. We further introduce CoBRAA as an open-access research tool that enables custom, user-specified exploration of both protein- and macromolecular-level interactions. We expect this resource to facilitate broader investigation and hypothesis generation across a wide range of proteins, pathways, and macromolecular systems.

bioinformatics↗

bioRxiv2025

The NuRD complex shapes RNA polymerase III activity at highly expressed tRNA gene clusters, tuning the dynamic range of cellular tRNA pools

RNA polymerase III (Pol III) produces noncoding RNAs involved in diverse cellular activities, including translation (tRNA, 5S rRNA, 7SL RNA), RNA processing (U6 snRNA, RPPH1, RMRP), and transcription regulation (7SK snRNA). In this way, Pol III activity must be broadly coupled with cellular demands for protein accumulation and growth, increasing in response to nutrient availability and decreasing during differentiation and exit from proliferation. However, the currently established mechanisms of Pol III regulation remain relatively limited, due in part to the few Pol III-centered protein-protein interaction (PPI) studies performed to date. To address this gap, we first investigated PPIs shared by multiple Pol III subunits to understand the macromolecular interactome of Pol III, with special attention directed at potential regulatory candidates. Our proteomic survey uncovers interactions between Pol III and the NuRD (Nucleosome Remodeling and Deacetylase) complex. Taken further, we show that NuRD localizes to active Pol III-transcribed genes and that its recruitment is Pol III-dependent but nonrandom, with peak occupancy and regulatory hallmarks converging on tRNA gene clusters associated with notably high expression levels. Inhibiting NuRD-associated histone deacetylase function reduces Pol III transcription at these sites, suggesting NuRD restricts Pol III and thereby modulates the global dynamic range of Pol III-derived RNA species. These findings are congruent with the transcriptionally repressive nature of NuRD and bring-to-light a new regulatory mechanism that may couple signaling events and changes in metabolic needs with the dynamic availability of specific tRNA pools.

molecular biology↗

bioRxiv2025

An RNA polymerase III tissue and tumor atlas uncovers context-specific activities linked to 3D epigenome regulatory mechanisms

RNA polymerase III (Pol III) produces a plethora of small noncoding RNA species involved in diverse cellular processes, from transcription regulation and splicing to RNA stability, translation, and proteostasis. Though Pol III activity is broadly coupled with cellular demands for protein synthesis and growth, a more precise understanding of gene-level dynamics and context-specific expression patterns remains missing, in part due to challenges related to sequencing and mapping Pol III-derived small ncRNAs. Here, we establish a predictive multi-tissue map of human Pol III activity across 19 tissues and 23 primary cancer subtypes by comprehensively profiling the chromatin accessibility of canonical Pol III-transcribed gene classes. Our framework relies on the unique relationship between gene accessibility and Pol III transcription, inferring activity through uniform binary classification of ATAC-seq enrichment at Pol III-transcribed genes. By characterizing multi-context gene uniformity, we provide a definition of the core Pol III transcriptome, broadly active across specialized tissues, and catalog genes with varied levels of context specificity. Our genomic Pol III atlas uncovers variable levels of activity across tissues, including sharp contraction of the Pol III transcriptome in heart and brain tissues and frequent expansion across diverse cancers. We show that both tissue- and tumor-specific genes are significantly enriched within lamina-associated domains (LADs), and that aberrant expression of nuclear lamin proteins is sufficient to induce Pol III-emergent patterns at tumor-specific genes. Together, these findings link Pol III dynamics to subnuclear compartmentalization and provide a resource for better understanding Pol III expansion and small RNA biogenesis in cancer.

genomics↗

bioRxiv2024

Cancer-associated snaR-A noncoding RNA interacts with core splicing machinery and disrupts processing of mRNA subpopulations

RNA polymerase III (Pol III) activity in cancer is linked to the production of small noncoding (nc)RNAs that are otherwise silent in most tissues. snaR-A (small NF90-associated RNA isoform A) - a hominid-specific ncRNA shown to enhance cell proliferation, migration, and invasion - is a cancer-emergent Pol III product that remains largely uncharacterized despite promoting growth phenotypes. Here, we applied a combination of genomic and biochemical approaches to study the biogenesis and subsequent protein interactions of snaR-A and to better understand its role as a putative driver of cancer progression. By profiling the chromatin landscapes across a multitude of primary tumor types, we show that predicted snaR-A upregulation is broadly linked with unfavorable outcomes among cancer patients. At the molecular level, we unexpectedly discover widespread interactions between snaR-A and mRNA splicing factors, including SF3B2 - a core component of the U2 small nuclear ribonucleoprotein (snRNP). We find that SF3B2 levels are sensitive to high snaR-A abundance and that depletion of snaR-A alone is sufficient to decrease intron retention levels across subpopulations of mRNA enriched for U2 snRNP occupancy. snaR-A sensitive genes are characterized by high GC content, close spatial proximity to nuclear bodies concentrated in pre-mRNA splicing factors, and functional enrichment for proteins involved in deacetylation and autophagy. We highlight examples of splicing misregulation and increased protein levels following snaR-A depletion for a wide-ranging set of factors, suggesting snaR-A-driven splicing defects may have far-reaching effects that re-shape the cellular proteome. These findings clarify the molecular activities and consequences of snaR-A in cancer, and altogether establish a novel mechanism through which Pol III overactivity may promote tumorigenesis.

molecular biology↗

bioRxiv2024

Evidence of RNA polymerase III recruitment and transcription at protein-coding gene promoters

RNA polymerase (Pol) I, II, and III are most commonly described as having distinct roles in synthesizing ribosomal RNA (rRNA), messenger RNA (mRNA), and specific small noncoding (nc)RNAs, respectively. This delineation of transcriptional responsibilities is not definitive, however, as evidenced by instances of Pol II recruitment to genes conventionally transcribed by Pol III, including the co-transcription of RPPH1 - the catalytic RNA component of RNase P. A comprehensive understanding of the interplay between RNA polymerase complexes remains lacking, however, due to limited comparative analyses for all three enzymes. To address this gap, we applied a uniform framework for quantifying global Pol I, II, and III occupancies that integrates currently available human RNA polymerase ChIP-seq datasets. Occupancy maps are combined with a comprehensive multi-class promoter set that includes protein-coding genes, noncoding genes, and repetitive elements. While our genomic survey appropriately identifies recruitment of Pol I, II, and III to canonical target genes, we unexpectedly discover widespread recruitment of the Pol III machinery to promoters of specific protein-coding genes, supported by colocalization patterns observed for several Pol III-specific subunits. We show that Pol III-occupied Pol II promoters are enriched for small, nascent RNA reads terminating in a run of 4 Ts, a unique hallmark of Pol III transcription termination and evidence of active Pol III activity at these sites. Pol III disruption differentially modulates the expression of Pol III-occupied coding genes, which are functionally enriched for ribosomal proteins and genes broadly linked to unfavorable outcomes in cancer. Our map also identifies additional, currently unannotated genomic elements occupied by Pol III with clear signatures of nascent RNA species that are sensitive to disruption of La (SSB) - a Pol III-related RNA chaperone protein. These findings reshape our current understanding of the interplay between Pols II and III and identify potentially novel small ncRNAs with broad implications for gene regulatory paradigms and RNA biology.

genomics↗

bioRxiv2021

A cancer-associated RNA polymerase III identity drives robust transcription and expression of SNAR-A noncoding RNA

Dysregulation of the RNA polymerase III (Pol III) transcription program, which synthesizes tRNA and other classes of small noncoding RNA critical for cell growth and proliferation, is associated with cancer and human disease. Previous studies have identified two distinct Pol III isoforms defined by the incorporation of either subunit POLR3G (RPC7) during early development, or POLR3GL (RPC7{beta}) in specialized tissues. Though POLR3G is re-established in cancer and immortalized cell lines, the contributions of these isoforms to transcription potential and transcription dysregulation in cancer remain poorly defined. Using an integrated Pol III genomic profiling approach in combination with in vitro differentiation and subunit disruption experiments, we discover that loss of subunit POLR3G is accompanied by a restricted repertoire of genes transcribed by Pol III. In particular, we observe that a specific class of small noncoding RNA, SNAR-A, is exquisitely sensitive to the availability of subunit POLR3G in proliferating cells. Taken further, large-scale analysis of Pol III subunit expression and downstream chromatin features identifies concomitant loss of POLR3G and SNAR-A activity across a multitude of differentiated primary immune cell lineages, and conversely, coordinate re-establishment of POLR3G expression and SNAR-A features in a variety of human cancers. These results altogether argue against strict redundancy models for subunits POLR3G and POLR3GL, and instead support a model in which Pol III identity itself functions as an important transcriptional regulatory mechanism. Upregulation of POLR3G, which is driven by MYC, identifies a subgroup of patients with unfavorable survival outcomes in specific cancers, further implicating the POLR3G-enhanced transcription repertoire as a potential disease factor.

molecular biology↗

bioRxiv2020

Tyrosine kinase inhibitors induce mitochondrial dysfunction during cardiomyocyte differentiation through alteration of GATA4-mediated networks

Maternal drug exposure during pregnancy increases the risks of developmental cardiotoxicity, leading to congenital heart defects (CHDs). In this study, we used human stem cells as an in-vitro system to interrogate the mechanisms underlying drug-induced toxicity during cardiomyocyte differentiation, including anticancer tyrosine kinase inhibitor (TKI) drugs (imatinib, sunitinib, and vandetanib). H1-ESCs were treated with these drugs at sublethal levels during cardiomyocyte differentiation. We found that early exposure to TKIs during differentiation induced obvious toxic effects in differentiated cardiomyocytes, including disarranged sarcomere structure, interrupted Ca2+-handling, and impaired mitochondrial function. As sunitinib exposure showed the most significant developmental cardiotoxicity of all TKIs, we further examine its effect with in-vivo experiments. Maternal sunitinib exposure caused fetal death, bioaccumulation, and histopathologic changes in the neonatal mice. Integrative analysis of both transcriptomic and chromatin accessibility landscapes revealed that TKI-exposure altered GATA4-mediated regulatory network, which included key mitochondrial genes. Overexpression of GATA4 with CRISPR-activation restored morphologies, contraction, and mitochondria function in cardiomyocytes upon TKI exposure early during differentiation. Altogether, our study identified a novel crosstalk mechanism between GATA4 activity and mitochondrial function during cardiomyocyte differentiation, and revealed potential therapeutic approaches for reducing TKI-induced developmental cardiotoxicity for human health. HighlightsO_LIEarly-stage exposure to TKIs induced cardiotoxicity and mitochondrial dysfunction C_LIO_LIGATA4 transcriptional activity is inhibited by TKIs C_LIO_LINetwork analysis reveals interactions between GATA4 and mitochondrial genes C_LIO_LIGATA4-overexpression rescues cardiomyocytes and mitochondria from TKI exposure C_LI

systems biology↗

bioRxiv2017

Static And Dynamic DNA Loops Form AP-1 Bound Activation Hubs During Macrophage Development

The three-dimensional arrangement of the human genome comprises a complex network of structural and regulatory chromatin loops important for coordinating changes in transcription during human development. To better understand the mechanisms underlying context-specific 3D chromatin structure and transcription during cellular differentiation, we generated comprehensive in situ Hi-C maps of DNA loops during human monocyte-to-macrophage differentiation. We demonstrate that dynamic looping events are regulatory rather than structural in nature and uncover widespread coordination of dynamic enhancer activity at preformed and acquired DNA loops. Enhancer-bound loop formation and enhancer-activation of preformed loops represent two distinct modes of regulation that together form multi-loop activation hubs at key macrophage genes. Activation hubs connect 3.4 enhancers per promoter and exhibit a strong enrichment for Activator Protein 1 (AP-1) binding events, suggesting multi-loop activation hubs driven by cell-type specific transcription factors may represent an important class of regulatory chromatin structures for the spatiotemporal control of transcription.\n\nHIGHLIGHTSO_LIHigh resolution and high sensitivity of loop detection via deeply sequenced in situ Hi-C experiments during monocyte to macrophage differentiation (> 10 billion total reads)\nC_LIO_LIMulti-loop interaction communities identified surrounding key macrophage genes.\nC_LIO_LIMulti-loop communities connect dynamic enhancers through both static and newly acquired DNA loops, forming hubs of activation\nC_LIO_LIMacrophage activation hubs are enriched for AP-1 bound long-range enhancer interactions, suggesting cell-type specific TFs drive changes in 3D structure and transcription through regulatory DNA loops\nC_LI

genomics↗