M. Chung

A DNA-based molecular clamp for probing protein interactions and structure under force.

The paper develops a DNA-based molecular clamp to apply tension to proteins and study their interactions and structure under force.

Characterization of immune cell populations in the tumor microenvironment of colorectal cancer using high definition spatial profiling

This study uses Visium HD spatial transcriptomics to map immune cell populations in colorectal cancer tumor microenvironments, identifying spatially distinct macrophage and T cell subpopulations.

Decoding Imagined Musical Pitch from Human Scalp Electroencephalograms

This study decodes imagined musical pitch from human scalp EEG, achieving 35.68% accuracy using SVM and showing similar performance with DC features across different class numbers.

Cdt1 inhibits CMG helicase in early S phase to separate origin licensing from DNA synthesis

The paper shows Cdt1 inhibits CMG helicase to prevent DNA synthesis during early S phase, separating origin licensing from DNA synthesis to avoid re-replication.

Defective flow-migration coupling causes arteriovenous malformations in hereditary hemorrhagic telangiectasia

This study shows that defective flow-migration coupling due to ALK1 loss causes arteriovenous malformations in HHT, with integrin-YAP/TAZ signaling as a potential therapeutic target.

Proteomic profiling of breast cancer cell lines and models

The paper performs proteomic profiling of 61 breast cancer cell lines, identifies molecular subtypes, and makes datasets publicly available for drug response prediction and therapeutic marker discovery.

DiffNets: Self-supervised deep learning to identify the mechanistic basis for biochemical differences between protein variants

DiffNets identifies structural features predicting biochemical differences between protein variants using self-supervised learning.

The Kinase Chemogenomic Set (KCGS): An open science resource for kinase vulnerability identification

The paper introduces the Kinase Chemogenomic Set (KCGS), a curated collection of 187 selective kinase inhibitors covering 215 human kinases, for use in cell-based screens.

Combined inhibition of mTOR and PIKKs exploits replicative and checkpoint vulnerabilities to induce death of PI3K-activated triple-negative breast cancer cells

The paper shows that combining mTOR and PIKK inhibitors kills triple-negative breast cancer cells by exploiting replication and checkpoint vulnerabilities.

A Bayesian framework for identifying consistent patterns of microbial abundance between body sites

The paper introduces a Bayesian framework to identify microbes with consistent abundance patterns between body sites related to a phenotypic variable, demonstrating its effectiveness using pancreatic cancer patient data.

A parallel cell-cycle entry pathway with inverted G1 signaling and alternate point of no return

The paper identifies an alternate cell-cycle entry pathway with inverted G1 signaling and a new point of no return, demonstrated through single-cell microscopy in cell lines and mice.

Multi-omics profiling establishes the polypharmacology of FDA Approved CDK4/6 inhibitors and the potential for differential clinical activity

This study compares the mechanisms of three FDA-approved CDK4/6 inhibitors and finds significant differences in their transcriptional, proteomic, and cellular effects, suggesting potential for differential clinical use.

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.

Multicenter Analysis of Dosing Protocols for Sotalol Initiation

This study analyzes dosing protocols for sotalol initiation in 213 patients, finding that dose adjustment predicts successful initiation, with several clinical factors associated with the need for adjustment.

Applications of Machine Learning in Decision Analysis for Dose Management for Dofetilide

This study uses machine learning to analyze dose adjustment decisions for dofetilide, finding that reinforcement learning identifies patient characteristics and dosing decisions that minimize discharge failure.

3D brain angiogenesis model to reconstitute maturation of functional human blood-brain barrier in vitro

This study develops a 3D microfluidic model of the human BBB that mimics its development and maturation, showing the necessity of a tri-culture system and HA optimization for BBB features.

Using Core Genome Alignments to Assign Bacterial Species

This paper introduces a method using core genome alignments to assign bacterial species designations, finding a 96.8% sequence identity threshold that improves species delineation, particularly for Rickettsiales.

Transcription factor dynamics reveals a circadian code for fat cell differentiation

The paper shows that pulsatile circadian hormone signals inhibit adipocyte differentiation, while persistent signals promote it, revealing a circadian code for fat cell differentiation.