Biology subjects

Tjong, H.

Publications and source records attributed to Tjong, H..

7 recordsLinked to original sources

bioRxiv2024

Extrachromosomal DNA Associates with Nuclear Condensates and Reorganizes Chromatin Structures to Enhance Oncogenic Transcription

Extrachromosomal, circular DNA (ecDNA) is a prevalent oncogenic alteration in cancer genomes, often associated with aggressive tumor behavior and poor patient outcome. While previous studies proposed a chromatin-based mobile enhancer model for ecDNA-driven oncogenesis, its precise mechanism and impact remains unclear across diverse cancer types. Our study, utilizing advanced multi-omics profiling, epigenetic editing, and imaging approaches in three cancer models, reveals that ecDNA hubs are an integrated part of nuclear condensates and exhibit cancer-type specific chromatin connectivity. Epigenetic silencing of the ecDNA-specific regulatory modules or chemically disrupting liquid-liquid phase separation breaks down ecDNA hubs, displaces MED1 co-activator binding, inhibits oncogenic transcription, and promotes cell death. These findings substantiate the trans-activator function of ecDNA and underscore a structural mechanism driving oncogenesis. This refined understanding expands our views of oncogene regulation and opens potential avenues for novel therapeutic strategies in cancer treatment.

genomics↗

bioRxiv2021

An allelic series of spontaneous mutations in Rorb cause a gait phenotype, retinal abnormalities, and transcriptomic changes relevant to human neurodevelopmental conditions

Rorb encodes the Retinoic Acid Receptor-related orphan receptor beta. Mutations in either of the two transcripts of Rorb cause defects in multiple systems, including abnormal photoreceptor abundance and morphology in the retina and a characteristic "high-stepper" or "duck-like" gait arising from dysfunction of interneurons in the spinal cord. Rorb is also important for cortical development and cell fate specification in mice. Rorb variants segregate with epilepsy and comorbidities such as intellectual disability in numerous clinical cases. Here we describe five mouse strains with spontaneous mutations in Rorb identified by their gait phenotype. These mutations affect different domains and isoforms of Rorb, which correspond to the spectrum of anatomical and physiological phenotypes exhibited by these mice. Gene set analysis in Rorb mutants implicates pathways associated with development and nervous system function, and differential gene expression analysis indicates changes in numerous genes related to epilepsy, bipolar disorder, and autism spectrum disorder (ASD). Many of these genes and their protein products are known to interact during synapse formation and neuronal activity. These findings further illuminate the role of Rorb in nervous system development, provide further evidence for an association between Rorb and several neurological conditions, and describe an allelic series of Rorb mutant mice that will be useful for dissecting thalamocortical afferent (TCA) development, neural cell fate determination, and as animal models exhibiting transcriptomic shifts in neurological conditions such as epilepsy, bipolar disorder, and ASD. {blacksquare}Five mutant mice with a characteristic high-stepper gait phenotype have mutations in Rorb {blacksquare}These allelic series mutations manifest in a spectrum of anatomical and physiological abnormalities {blacksquare}Gene expression data suggest involvement of pathways related to neurodevelopmental disorders

genetics↗

bioRxiv2018

ChIA-PIPE: A fully automated pipeline for ChIA-PET data analysis and visualization

ChIA-PET enables the genome-wide discovery of chromatin interactions involving specific protein factors, with base-pair resolution. Interpreting ChIA-PET data depends on having a robust analytic pipeline. Here, we introduce ChIA-PIPE, a fully automated pipeline for ChIA-PET data processing, quality assessment, analysis, and visualization. ChIA-PIPE performs linker filtering, read mapping, peak calling, loop calling, chromatin-contact-domain calling, and can resolve allele-specific peaks and loops. ChIA-PIPE also automates quality-control assessment for each dataset. Furthermore, ChIA-PIPE generates input files for visualizing 2D contact maps with Juicebox and HiGlass, and provides a new dockerized visualization tool for high-resolution, browser-based exploration of peaks and loops. With minimal adjusting, ChIA-PIPE can also be suited for the analysis of other related chromatin-mapping data.

bioinformatics↗

bioRxiv2017

Quantitative methods to investigate the 4D dynamics of heterochromatic repair sites in Drosophila cells

Heterochromatin is mostly composed of long stretches of repeated DNA sequences prone to ectopic recombination during double-strand break (DSB) repair. In Drosophila, safe homologous recombination (HR) repair of heterochromatic DSBs relies on a striking relocalization of repair sites to the nuclear periphery. Central to understanding heterochromatin repair is the ability to investigate the 4D dynamics (movement in space and time) of repair sites. A specific challenge of these studies is preventing phototoxicity and photobleaching effects while imaging the sample over long periods of time, and with sufficient time points and Z-stacks to track repair foci over time. Here we describe an optimized approach for high-resolution live imaging of heterochromatic DSBs in Drosophila cells, with a specific emphasis on the fluorescent markers and imaging setup used to capture the motion of repair foci over long time periods. We detail approaches that minimize photobleaching and phototoxicity with a DeltaVision widefield deconvolution microscope, and image-processing techniques for signal recovery post-imaging using SoftWorX and Imaris software. We present a method to derive mean square displacement (MSD) curves revealing some of the biophysical properties of the motion. Finally, describe a method in R to identify tracts of directed motions in mixed trajectories. These approaches enable a deeper understanding of the mechanisms of heterochromatin dynamics and genome stability in the three-dimensional context of the nucleus, and have broad applicability in the field of nuclear dynamics.

cell biology↗

bioRxiv2017

Nanopore Sequencing Reveals High-Resolution Structural Variation in the Cancer Genome

Acquired genomic structural variants (SVs) are major hallmarks of the cancer genome. Their complexity has been challenging to reconstruct from short-read sequencing data. Here, we exploit the long-read sequencing capability of the nanopore platform using our customized pipeline, Picky, to reveal SVs of diverse architecture in a breast cancer model. From modest sequencing coverage, we identified the full spectrum of SVs with superior specificity and sensitivity relative to short-read analyses and uncovered repetitive DNA as the major source of variation. Examination of the genome-wide breakpoints at nucleotide-resolution uncovered micro-insertions as the common structural features associated with SVs. Breakpoint density across the genome is associated with propensity for inter-chromosomal connectivity and transcriptional regulation. Furthermore, an over-representation of reciprocal translocations from chromosomal double-crossovers was observed through phased SVs. The comprehensive characterization of SVs using the robust long-read sequencing approach in cancer cohorts will facilitate strategies to monitor genome stability during tumor evolution and improve therapeutic intervention.

genomics↗

bioRxiv2017

PGS: a dynamic and automated population-based genome structure software

Hi-C technologies are widely used to investigate the spatial organization of genomes. However, the structural variability of the genome is a great challenge to interpreting ensemble-averaged Hi-C data, particularly for long-range/interchromosomal interactions. We pioneered a probabilistic approach for generating a population of distinct diploid 3D genome structures consistent with all the chromatin-chromatin interaction probabilities from Hi-C experiments. Each structure in the population is a physical model of the genome in 3D. Analysis of these models yields new insights into the causes and the functional properties of the genomes organization in space and time. We provide a user-friendly software package, called PGS, that runs on local machines and high-performance computing platforms. PGS takes a genome-wide Hi-C contact frequency matrix and produces an ensemble of 3D genome structures entirely consistent with the input. The software automatically generates an analysis report, and also provides tools to extract and analyze the 3D coordinates of specific domains.

bioinformatics↗

bioRxiv2017

The 3D genome organization of Drosophila melanogaster through data integration

Genome structures are dynamic and non-randomly organized in the nucleus of higher eukaryotes. To maximize the accuracy and coverage of 3D genome structural models, it is important to integrate all available sources of experimental information about a genomes organization. It remains a major challenge to integrate such data from various complementary experimental methods. Here, we present an approach for data integration to determine a population of complete 3D genome structures that are statistically consistent with data from both genome-wide chromosome conformation capture (Hi-C) and lamina-DamID experiments. Our structures resolve the genome at the resolution of topological domains, and reproduce simultaneously both sets of experimental data. Importantly, this framework allows for structural heterogeneity between cells, and hence accounts for the expected plasticity of genome structures. As a case study we choose Drosophila melanogaster embryonic cells, for which both data types are available. Our 3D geome structures have strong predictive power for structural features not directly visible in the initial data sets, and reproduce experimental hallmarks of the D. melanogaster genome organization from independent and our own imaging experiments. Also they reveal a number of new insights about the genome organization and its functional relevance, including the preferred locations of heterochromatic satellites of differnet chromosomes, and observations about homologous pairing that cannot be directly observed in the original Hi-C or lamina-DamID data. To our knowledge our approach is the first that allows systematic integration of Hi-C and lamina DamID data for complete 3D genome structure calculation, while also explicitly considering genome structural variability.

bioinformatics↗