Rachel Patton McCord

This study shows that HGPS disrupts adipogenic lineage maturation through chromatin reorganization defects, despite normal lineage commitment rates.

The paper identifies patient-specific transcriptomic signatures of ovarian cancer stem cells (CSCs) using RNA-seq, revealing isoform-level heterogeneity that drives stemness and drug resistance.

This study shows that H3K27me3 modification drives 3D genome changes in melanoma cells after constricted migration, affecting migration efficiency and chromatin compartment switching.

This study shows that non-cancerous fibroblasts experience reversible nuclear and 3D genomic changes after constricted migration, unlike stable changes in cancer cells.

This paper shows that transient HDAC inhibition increases DNA damage and reduces cell viability in both cancerous and healthy breast cells after high-dose radiation, but effects vary with radiation dose and cell type.

The paper develops network-based metrics to visualize interchromosomal interactions at sub-megabase resolution, revealing shared interaction hotspots across chromosomes.

This study compares genome compartmentalization in Drosophila and humans under osmotic stress, revealing distinct organizational principles involving LLPS and architectural proteins.

This study identifies 3D genome compartment changes associated with epithelial-mesenchymal transition and organotropism in breast cancer metastasis.

The paper investigates spatial genome organization during programmed DNA elimination in nematodes, showing conserved 3D genome reorganization across species.

This study measures radiation-induced DNA damage distribution using END-seq and shows its correlation with 3D genome structure and chromatin features.

The paper develops a polymer model integrating super-resolution imaging and epigenomic sequencing to show how epigenetic reactions shape 4D chromatin organization and influence gene expression and metastatic potential.

The paper identifies 3D genome architecture changes in melanoma cells before and after constricted migration, linking them to migration ability and cell fate changes.

The paper develops a computational framework integrating Hi-C data and DNA repair models to simulate radiation effects and assess cell radiosensitivity.

The paper examines how nuclear lamina association and genome compartmentalization influence gene regulation across different cell types and treatments.

This study identifies transcriptional deficits in HGPS fibroblasts related to mesenchymal differentiation and endochondral ossification, with age-dependent gene expression changes.

sciCAN integrates single-cell chromatin accessibility and gene expression data using an adversarial network, outperforming existing methods in cross-modal transfer and preserving biological structure in hematopoietic data.

This study shows that constricted migration in cancer cells leads to stable 3D genome structure changes associated with increased migration efficiency and altered gene expression.

The paper analyzes single-cell chromosome imaging data to reveal cell-type and region-specific structural variations in chromatin ensembles, linking these variations to epigenetic states.

MASI provides a fast, model-free method for standardizing cell-type annotation and integrating single-cell transcriptomics datasets, achieving comparable or superior performance to existing methods.

SMILE integrates single-cell omics data by learning discriminative representations through mutual information maximization, effectively removing batch effects and aligning diverse data types.

The paper investigates how genome structure responds to nuclear swelling, finding that global topology remains elastic and robust despite dramatic volume changes.

CoSTA uses a convolutional neural network to analyze spatial transcriptomics data, identifying gene relationships based on spatial patterns rather than pixel-level correlation.

This study examines how DNA damage and repair affect 3D genome organization using Hi-C in different cell types, finding cell-type-specific changes and TAD boundary strengthening in repair-proficient cells.

The paper infers chromosome radial organization from Hi-C data using PCA and force-directed layout algorithms, showing high correlation with microscopy data across different cell types.

The paper shows maternal experience induces lateralized changes in perineuronal net density in adult female mice, dependent on MECP2.

The paper integrates multi-omics data to identify coordinated changes in 3D genome structure across cell types and finds that lamina associations and histone marks guide these structural variations.

This paper evaluates Hi-C protocol modifications and identifies factors affecting data quality and DNA loss in Hi-C experiments.