Ken S. Lau

The paper performs single-cell transcriptome-wide association analysis to identify cell-type-specific genetic susceptibility genes for colorectal cancer, finding 546 gene-cell-type associations and 347 candidate susceptibility genes.

This paper evaluates the statistical validity of synthetic biomedical images and introduces PAMS to improve biological inference.

The paper develops an optimized multimodal imaging workflow that preserves tissue integrity and enables comprehensive profiling of morphology, collagen, cell populations, N-glycans, and extracellular matrix peptides from a single tissue section.

The paper creates a spatial atlas of early-stage colorectal cancer tumors to identify bacterial niches and their impact on tumor transcriptomes, highlighting C. difficile's significant influence despite low abundance.

The paper uses deconvolution to identify cell-type-specific DNA methylation and gene expression associations with colorectal cancer risk, finding 178 CpG sites and 68 genes across 26 new loci.

This study shows MYT1 and ST18 regulate human beta-cell survival and insulin secretion under normal and stress conditions, with their genes enriched for T2D-risk loci.

BASSL-MI uses self-supervised learning to identify clinically relevant tumor niches in multiplexed imaging without requiring cell segmentation.

The paper identifies seven thymic conventional dendritic cell subsets and their distinct functional roles and dependencies on thymocyte subsets for homeostasis and activation.

This study integrates single-cell and spatial transcriptomics to identify prognostic fibroblast subpopulations in thyroid cancer progression.

This study identifies Pcdh20 as a POU2F3 target gene essential for tuft cell microvillus structure, showing its role in maintaining microvillar rigidity and organization.

This study integrates large-scale omics and electronic health records to identify risk proteins and drugs for cancer prevention, finding 101 novel proteins and three drugs associated with reduced colorectal cancer risk.

This study identifies 60 new susceptibility loci and 441 candidate risk genes for inflammatory bowel disease through multi-ancestry GWAS and TWAS, with implications for precision medicine.

PoweREST estimates statistical power for detecting differentially expressed genes in spatial transcriptomics experiments using 10X Genomics Visium data.

This study shows that microbiota enhance CD39 expression in γδ IELs via TCR and IL-15 signaling, leading to regulatory IEL expansion and reduced inflammation.

The paper uses clonal analysis to reveal species-specific differences in intestinal regeneration and stem cell dynamics in mice and humans.

The paper shows that Myt3 translation is deregulated in β-cells under obesity-induced stress, leading to β-cell dysfunction and glucose intolerance.

The paper shows that chromatin accessibility and DNA demethylation occur at different times during enhancer regulation, with methylation states predicting chromatin dynamics using machine learning.

The paper examines molecular and cellular changes in thymic stromal and hematopoietic cells during the perinatal to juvenile transition in mice and humans, identifying key pathways and signaling changes.

This study shows Atf4 protects beta-cell function under high glucose but worsens beta-cell failure when combined with free fatty acids.

The paper identifies a pathobiont-epithelial IDO1 pathway that drives region-specific susceptibility to inflammatory bowel disease in the ascending colon.

The paper introduces MILWRM, a tool for detecting tissue domains in spatial-omics data, and demonstrates its application in human colonic polyps and mouse brain slices.

The paper introduces NSC-seq, a CRISPR-based molecular clock to track temporal and clonal events in development and precancer, revealing polyancestral initiation in colonic precancers.

This study uses advanced microscopy to reveal the ultrastructural organization of tuft cell cytoskeleton, showing co-aligned actin bundles and microtubules.

The paper identifies a novel epithelial cell type, LND, in Crohn's disease that is associated with immune dysregulation and disease activity.

GammaGateR provides a semi-automated marker gating tool for multiplexed imaging data, improving consistency and reducing manual effort while revealing biological signals.

This study identifies GNASR201C as a driver of pyloric metaplasia in IPMN, characterized by tumor-suppressive glycans that inhibit cancer progression.

This paper introduces NSC-seq, a direct sgRNA capture method for single-cell CRISPR screens using standard knockout libraries, and characterizes sgRNA expression in three whole-genome libraries.

This study maps tumor evolution and microenvironment dynamics in colorectal cancer using spatial multi-omic data, identifying key genes associated with immune exclusion and prognosis.

The paper develops contamination-focused metrics and software to optimize scRNA-seq experiments by reducing ambient contamination through experimental adjustments.

This study shows SCLC cells exist in a continuum of plastic states rather than discrete subtypes, with gene expression patterns linked to cancer hallmarks and potential therapeutic targets.