J. T. George

RACER-m predicts T cell specificity using structural features, requiring fewer training examples than sequence-based methods.

This paper develops a stochastic model to show how cellular memory capacity affects phenotypic adaptation in fluctuating environments, finding that larger memory reduces nutrient availability but avoids maladaptive penalties.

This paper develops a computational framework to infer and predict EMT-related trajectories from single-cell RNA sequencing data, revealing population dynamics and timing of phenotypic intra-tumoral heterogeneity.

The paper shows that long-term EMT induction in MCF10A cells can be reversible with longer timescales, and epigenetic memory via miR-200 silencing by ZEB slows recovery to the epithelial state.

This paper develops a mathematical framework to model optimal cancer evasion strategies in a dynamic immune microenvironment, showing that adaptive evasion leads to heterogeneous tumor antigenicity.

The paper evaluates gene expression signatures for inflammatory breast cancer (IBC) across multiple datasets, finding low overlap and limited predictive accuracy, but identifying a correlation between IBC samples and the epithelial-hybrid-mesenchymal spectrum.

This paper introduces RACER, a pairwise energy model that assesses TCR-peptide affinity using supervised machine learning, demonstrating its utility in simulating thymic selection and estimating recognition rates for tumor antigens.

This study compares three transcriptomics-based metrics for quantifying EMT status across tumor types, finding that MLR-based scoring better distinguishes pure hybrid E/M cells from mixed populations.

This paper develops sgRNA-Click (sgR-CLK), a method to site-directly display synthetic molecules on chromatin using CRISPR-dCas9 and bioorthogonal click chemistry.

This paper investigates how Id1 and Id3 maintain chemoresistant CSCs in TNBC by targeting Kif11 and Aurka, and explores combination therapy to enhance tumor debulking.

This paper develops a stochastic model of cancer-immune interactions showing immune pressure influences cancer incidence and escape.

This study shows NRF2 stabilizes a hybrid epithelial/mesenchymal phenotype by upregulating both E-cadherin and ZEB, and correlates this phenotype with poor survival in cancer.

This study identifies E-cadherin's role in suppressing sarcoma growth through both signaling (inhibiting p-CREB and TBX2) and mechanical (enhancing cell-cell adhesion) mechanisms.