Cheng Wang

Ambient-Condition Visualization of Metalloenzyme Reactive Intermediates Enabled by the SHINERS Paradigm

This paper demonstrates the use of SHINERS to visualize reactive metalloenzyme intermediates under aqueous conditions, revealing coordination states and mechanisms in several enzymes.

Benchmarking niche identification via domain segmentation for spatial transcriptomics data

The paper benchmarks domain segmentation algorithms for spatial transcriptomics data, showing they fail to identify biologically defined niches due to noise and highlights the need for specialized methods.

Osteocyte State Transitions Modulate Bone Remodeling During Early Skeletal Aging

This study investigates how osteocyte state transitions affect bone remodeling during early skeletal aging, finding age-dependent changes in osteocyte subpopulations and their impact on bone mass.

A High-Fidelity 3D Fluid-Structure Interaction Framework for Predictive Microfluidic Design

This paper develops a 3D fluid-structure interaction framework for microfluidic design, validated against experiments to predict particle transport and separation with sub-micron accuracy.

Information Geometry Reconciles Discrete and Continuous Variation in Single-Cell and Spatial Transcriptomic Analysis

GAIA provides a framework for analyzing single-cell and spatial transcriptomic data by reconciling discrete and continuous gene expression variation through information geometry.

FishMamba-1: A Linear-Complexity Foundation Model for Deciphering Polyploid Cyprinid Genomes

FishMamba-1 is a linear-complexity foundation model designed for polyploid Cyprinid genomes, achieving high precision in gene annotation without RNA-seq evidence.

Single Cell Proteomics in the Developing Human Brain

This study develops a single-cell proteomics workflow to analyze the developing human brain, revealing transcriptome-proteome discordance and identifying molecular vulnerabilities in neurodevelopmental disorders.

Common and rare variant analyses combined with single-cell multiomics reveal cell-type-specific molecular mechanisms of COVID-19 severity

This study combines common and rare variant analyses with single-cell multiomics to identify cell-type-specific genetic risk factors for severe COVID-19, revealing molecular mechanisms and potential therapeutic targets.

LocusFocus: A web-based colocalization tool for the annotation and functional follow-up of GWAS

LocusFocus is a web tool that tests colocalization between GWAS and eQTL data to identify relevant genes and tissues for GWAS loci.