L. M. Heiser

Single-cell morphodynamical trajectories enable prediction of gene expression accompanying cell state change

The paper develops MMIST, a computational approach linking live-cell morphodynamics to gene expression changes during cell state transitions.

Multiplex spatial systems analysis of local nanodose drug responses predicts effective treatment combinations of immunotherapies and targeted agents in mammary carcinoma

The paper develops a MIMA system to assess drug combinations in tumors, identifying effective immunotherapy and targeted agent combinations with minimal toxicity.

An Omic and Multidimensional Spatial Atlas from Serial Biopsies of an Evolving Metastatic Breast Cancer

This paper presents an OMS Atlas from serial biopsies of a metastatic breast cancer patient, linking clinical data to multi-omic and spatial profiles to study therapy-associated heterogeneity and resistance mechanisms.

Identification of clinical combination therapies to induce durable responses in kidney cancers

This study identifies a synergistic combination of cabozantinib and dasatinib that reduces viability and induces tumor regression in NCCRCC, with mechanisms involving MAPK-ERK pathway suppression.

Analysis and modeling of cancer drug responses using cell cycle phase-specific rate effects

This study develops a computational model to analyze drug effects on cell cycle phases in breast cancer cells and identifies effective drug combinations.

A multi-center study on factors influencing the reproducibility of in vitro drug-response studies

This study investigates factors affecting the reproducibility of in vitro drug-response assays across multiple centers, identifying context-sensitive factors that impact results.

High resolution AKT signaling in individual cells

This study develops a sensor to assess AKT signaling fidelity in individual cells and finds cells can distinguish multiple IGF-I doses and pathway inhibition.