A. Brock

Ketomimetic Nutrients Trigger a Dual Metabolic Defense in Breast Cancer Cells

This study shows that a ketomimetic medium increases chemoresistance and invasiveness of breast cancer cells through hypersialylation and lipid synthesis pathways.

Computational identification of surface markers for isolating distinct subpopulations from heterogeneous cancer cell populations

The paper introduces clusterCleaver, a computational tool that identifies surface markers for isolating distinct subpopulations from heterogeneous cancer cell populations using scRNA-seq data.

Dynamic Electrical Stimulation Promotes hiPSC-CM Differentiation and Functionality

This study shows that dynamic electrical stimulation improves hiPSC-CM differentiation, functionality, and transcriptomic pathway enrichment compared to static or no stimulation.

Mathematical characterization of population dynamics in breast cancer cells treated with doxorubicin

This study develops a mathematical model to describe doxorubicin effects on MCF-7 breast cancer cells, showing that higher concentrations, shorter intervals, and more doses improve tumor control.

Quantification of long-term doxorubicin response dynamics in breast cancer cell lines to direct treatment schedules

This study quantifies how breast cancer cell lines respond to doxorubicin over time and identifies optimal treatment intervals to improve drug efficacy.

An experimental-mathematical approach to predict tumor cell growth as a function of glucose availability in breast cancer cell lines

The paper develops and validates a mathematical model to predict tumor cell growth based on glucose availability in breast cancer cell lines using experimental data.

Integrating multimodal data sets into a mathematical framework to describe and predict therapeutic resistance in cancer

This paper develops a framework integrating single-cell transcriptomic data with longitudinal treatment response data to predict drug resistance in breast cancer, achieving higher predictive accuracy with integrated data.

Expressed barcodes enable clonal characterization of chemotherapeutic responses in chronic lymphocytic leukemia

This paper develops a method to study clonal responses to chemotherapy in CLL by combining barcoding with single-cell RNA sequencing, revealing that rare drug-tolerant clones dominate post-treatment populations.

Stochastic Models for Revealing the Dynamics of the Growth of Small Tumor Populations

This paper presents a stochastic modeling framework to study altered growth dynamics in small tumor populations using high-throughput data.

Cancer cell population growth kinetics at low densities deviate from the exponential growth model and suggest an Allee effect

This paper investigates cancer cell growth at low densities and finds that an Allee effect model better describes growth kinetics than exponential growth, suggesting cooperative behavior among cells.