Y. H. Chang

Unraveling the Complexity of Abdominal Aortic Aneurysm: Multiplexed Imaging Insights into C-Reactive Protein-Related Variations

This study uses multiplexed imaging to analyze immune and stromal cell changes in abdominal aortic aneurysms (AAAs) based on C-reactive protein (CRP) levels, revealing distinct immune cell distributions and macrophage phenotypes associated with CRP deposition.

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.

Longitudinal and multimodal auditing of tumor adaptation to CDK4/6 inhibitors in HR+ metastatic breast cancers

This study creates a multimodal tumor atlas to analyze how metastatic HR+ breast cancers adapt to CDK4/6 inhibitors, revealing mechanisms like mTORC1 activation and immune microenvironment changes.

Multiplex imaging of localized prostate tumors reveals changes in mast cell type composition and spatial organization of AR-positive cells in the tumor microenvironment

A Novel Mouse Model that Recapitulates the Heterogeneity of Human Triple Negative Breast Cancer

This paper develops a novel mouse model of TNBC by combining MYC amplification and PTEN deletion, showing it recapitulates human TNBC heterogeneity through omic analyses.

T cell Egress via Lymphatic Vessels Limits the Intratumoral T cell Repertoire in Melanoma

The paper shows that T cell egress via lymphatic vessels limits intratumoral T cell diversity, and that CXCR4 inhibition enhances T cell retention and improves immunotherapy response.

Anatomy of the Heart with the Highest Heart Rate

This study examines cardiac anatomy in shrews, finding that most traits scale to their small size, but they have unique features like large coronary vessels and extended pulmonary venous myocardium.

Transfer Learning for Inference of Metastatic Origin from Whole Slide Histology

This paper uses transfer learning to predict metastatic origin from H&E-stained tumor images, achieving higher accuracy than models trained on primary or metastatic tumors alone.

Relevance of Circulating Hybrid Cells as a Non-Invasive Biomarker for Myriad Solid Tumors

This study identifies circulating hybrid cells (CHCs) as a novel biomarker for metastatic solid tumors, showing they outnumber CTCs and exhibit tumor-initiating properties across multiple cancer types.

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.

Predicting Primary Site of Secondary Liver Cancer with a Neural Estimator of Metastatic Origin (NEMO)

The paper introduces a deep learning model to predict the metastatic origin of secondary liver cancer from H&E stained tissue sections, achieving 90.2% accuracy comparable to expert pathologists.

HER2 Cancer Protrusion Growth Signaling Regulated by Unhindered, Localized Filopodial Dynamics

This study investigates how HER2 dynamics in filopodia regulate protrusion growth and signaling in breast cancer cells, revealing distinct motion patterns and functional roles in protrusion-based signaling.

High-throughput single-particle tracking reveals nested membrane nanodomain organization that dictates Ras diffusion and trafficking

This study uses single-particle tracking to show that KRas diffusion and trafficking are regulated by nested membrane nanodomains in U2OS cells.