Hailiang Mei

This study identifies a noncanonical role for Dicer in regulating self-dsRNA sensing and innate immune responses to self-derived double-stranded RNA.

This study uses hiPSC-derived retinal organoids to show that ABCA4 loss in photoreceptors disrupts glial cell homeostasis, suggesting a role for glial cells in Stargardt disease progression.

The paper evaluates the therapeutic effects of hiMSCs in osteoarthritis models, showing reduced damage and activation of cholesterol pathways, with spatial transcriptomics revealing localized molecular changes.

This paper introduces lncRNA-BERT, an RNA language model that classifies coding and long non-coding RNAs, outperforming existing methods on benchmark datasets.

This study validates the use of kidney biopsy transport medium for rapid gene profiling to enable same-day molecular diagnosis of kidney disease.

This study develops scalable 3D cardiac microtissues for high-throughput drug screening, showing reproducible drug responses and identifying 17 drugs that rescue arrhythmic phenotypes.

The paper identifies heparan sulfate (HS) as a key factor for cell-surface RNA (csRNA) presentation and reveals a ternary complex of HS, RNA, and RNA-binding proteins that recruits immune receptors.

The paper identifies SENP7 and UTF1/VENTX as new loci influencing cPCDH methylation in blood and brain through a genome-wide association study.

This study uses RNAseq to assess off-target effects of three splice-switching AONs in human cells, identifying splicing changes and showing variability in AON-induced effects.

This study identifies biallelic germline variants in MCM8 and MCM9 as linked to polyposis, gastric cancer, early-onset colorectal cancer, and hypogonadism, with MCM9 variants showing stronger associations.

The paper develops interpretable neural networks for multi-omics data to predict smoking status, age, and LDL levels, showing improved performance and generalizability across cohorts.

This study shows that oleic acid pre-exposure rewires CD4+ T cell metabolism, promoting pro-inflammatory differentiation upon activation.

The paper investigates how PABPN1 loss-of-function in OPMD affects APA-shift in muscle transcripts, showing it is linked to reduced PABPN1 isoform expression rather than expanded PABPN1 levels.

This study identifies defective lipid metabolism in Schwann cells as a cause of CMT1A, showing altered lipid composition and membrane dynamics in mouse models and human iPSC-derived cells.

This study shows that EXO1 is essential for survival of BRCA1-deficient cells and identifies it as a potential therapeutic target.

The paper constructs a transcriptome atlas of human leg muscles, identifying molecular and cellular differences associated with muscle location and function.

The paper identifies ETV2 dynamics in hiPSC-derived cardiac lineages using single-cell RNA-seq and a fluorescent reporter, revealing distinct subpopulations for endothelial and cardiomyocyte specification.

The paper identifies transcript SNPs with allelic expression imbalance in OA risk loci from articular cartilage and subchondral bone, revealing new potential OA risk genes.

The paper uses single-cell transcriptomics to study fetal rete testis development, identifying molecular markers and cell types in human gonads and mesonephros/epididymis.

This paper introduces a method to efficiently generate human primordial germ cell-like cells (hPGCLCs) in 2D culture using basement membrane extract overlay and low BMP4 concentration.

The paper identifies differentially expressed genes in OA subchondral bone and cartilage using RNA sequencing, highlighting IL11 and CHADL as potential druggable targets.

The paper identifies 818 genes influencing DNA methylation in blood using genetic anchors and causal inference, revealing both transcription factors and non-DNA-binding proteins with regulatory roles.

The paper identifies differentially expressed lncRNAs in OA cartilage and validates their regulatory role on adjacent genes.

The paper benchmarks 20 automatic cell identification methods for single-cell RNA-sequencing data across eight datasets, finding that SVM performs best overall.

This study evaluates an in-house mNGS protocol for detecting RNA and DNA viruses in pediatric respiratory samples, showing high concordance with PCR and identifying additional pathogens not detected by routine methods.

This study identifies novel HPE genes and oligogenic inheritance patterns in holoprosencephaly by integrating clinical data with exome sequencing and gene prioritization.

The paper identifies 49 gene drivers of downstream transcriptional changes using population genomics data and RNA-sequencing from 3,072 individuals.

The paper identifies context-dependent eQTLs in peripheral blood RNA-seq data from Dutch individuals using a hypothesis-free approach, revealing gene expression influenced by cell type and signaling pathways.