Ni Huang

The paper integrates single-cell RNA-seq datasets across the GI tract to identify epithelial metaplasia in inflammatory diseases, showing its role in inflammation through immune cell interactions.

This study constructs a multiomic atlas of human early skeletal development using single-nuclei transcriptomics, epigenomics, and spatial transcriptomics to uncover regulatory mechanisms and cell states involved in bone and joint formation.

This study creates a prenatal human skin cell atlas, revealing immune cells' role in skin development and showing their impact on vascular and hair follicle formation.

The paper develops GASPACHO to identify dynamic eQTLs in antiviral responses using single-cell RNA-seq, uncovering thousands of eQTLs and linking them to disease risk loci.

This study maps postzygotic mutations across tissues and lifespan, showing their functional variation and selection pressures, suggesting multiple dynamic genomes per individual.

This study creates a single-cell and single-nucleus transcriptomic atlas of human skeletal muscle ageing, revealing mechanisms in muscle stem cells, myofibers, and the microenvironment.

The paper introduces ARC-C, a method for high-resolution mapping of regulatory element interactions and genome architecture in C. elegans, identifying ~15,000 interactions and revealing domain-level organization.

The paper shows that DREAM complex represses distinct gene targets in C. elegans through cooperation with different THAP domain proteins, LIN-36 and LIN-15B, which use separate mechanisms.

The paper introduces an interactive scRNA-Seq analysis environment based on Galaxy, integrating ~70 functions for scalable and accessible single-cell data analysis.

The paper introduces a Galaxy-based suite for scRNA-seq analysis, offering workflows, training resources, and tools for preprocessing, normalization, and clustering across 10x and alternative platforms.

This study compares web-based visualization tools for scRNA-seq data and introduces an R package to standardize data formats for sharing.

The paper integrates healthcare and research exome sequences to identify 28 novel developmental disorder-associated genes using a simulation-based statistical test.

The paper identifies 299 new genes associated with developmental disorders using exome data from 31,058 trios and finds many more likely remain undiscovered.

The paper identifies a physical and functional interaction between CFP-1 and the Sin3 HDAC complex in C. elegans, showing their coordinated regulation of gene expression.

The paper maps regulatory elements across C. elegans development and ageing, identifying promoters and enhancers and showing their dynamic accessibility linked to developmental processes.

The paper identifies CSMD1 variants linked to gonadal function in both sexes and shows that Csmd1 knockout mice have reproductive defects, implicating the complement system in postnatal development.

The paper shows that C. elegans heterochromatin proteins collaborate with piRNA and nuclear RNAi pathways to silence repetitive elements and prevent germline stress.

The paper investigates chromatin domain organization in C. elegans embryos and larvae, finding similar domain structures despite different cell types and showing that domains separate broadly expressed genes from developmentally regulated ones.