Jason Gertz

This study identifies ZNF865 as a regulator of cell senescence and DNA damage in intervertebral discs, showing its role in back pain and potential as a therapeutic target.

The paper identifies genomic features affecting ERα binding and gene expression in endometrial cancer, finding cell-type-specific transcription factors and distinct predictive features compared to breast cancer.

This study uses single-cell and spatial transcriptomics to analyze intra- and inter-tumor heterogeneity in ovarian HGSC subtypes, identifying spatial patterns and cell-cell communication differences.

EstroGene2.0 is a multi-omic database that compiles data on estrogen receptor responses and resistance in breast cancer, revealing diverse transcriptomic changes and identifying key targets.

The paper introduces HAPI, a 3D genomics method, to identify enhancer hijacking in cancer cell lines, revealing novel oncogene activation mechanisms.

The paper identifies estrogen-induced chromatin looping changes in endometrial cancer cells and shows their correlation with transcriptional responses, though not all loops are essential for estrogen regulation.

This study identifies cis-regulatory elements that control transcriptional timing and noise in response to estrogen using single-cell RNA-seq and machine learning.

This study identifies VCP/p97 as an obligate co-factor of ASPSCR1-TFE3, showing it organizes enhancer loops to drive oncogenic transcription in ASPS and RCC.

The paper uses deconvolution on bulk transcriptomic data to show that HGSOC subtypes are driven by tumor microenvironment composition, particularly fibroblast and immune cell content.

The paper evaluates genetic demultiplexing tools for pooled single-cell RNA-seq in cancer, showing they work effectively despite challenges from ambient RNA.

The paper develops and validates a mammalian 2-hybrid assay to classify BRCA1 RING domain missense substitutions, finding 20% are pathogenic and classifying 89% of observed variants.

This study identifies sex differences in glioblastoma driven by Brd4-bound enhancers, showing opposing responses to BET inhibitors in male and female tumor cells.

This study shows that Oct1 works with Smad factors to activate mesodermal genes during differentiation, improving understanding of lineage specification.

The paper investigates how estrogen receptor α bound enhancers cooperate to regulate gene expression, finding that full ERE motifs and pre-existing chromatin states are critical for enhancer activity.

This study shows ETV4 is essential for estrogen signaling and growth in endometrial cancer cells by enabling ER binding and nuclear translocation.

XPRESSyourself automates and standardizes ribosome profiling analysis, improving reproducibility and enabling new insights into translation regulation.

This study tests the sufficiency of estrogen receptor-binding sites (ERBS) for activating gene expression using synthetic activators, finding that individual ERBS can act independently when directly recruited.

GIGGLE is a search engine that identifies significant shared genomic loci between query features and large genomic datasets, improving data integration and hypothesis generation.

The paper compares transcriptomes and metabolomes of postmortem brain samples from schizophrenia, bipolar disorder, major depressive disorder, and controls to identify molecular differences and potential therapeutic targets.