Qiaolin Deng

This study creates a single-nuclei transcriptomic atlas of skeletal muscle in women with PCOS, identifying cell-type-specific dysregulation and therapeutic targets.

The paper shows that in a PCOS-like mouse model, altered uterine NK cells contribute to implantation failure through disrupted maturation and compensatory changes in NK cell subsets.

The paper identifies placental cell-type-specific transcriptional responses to maternal obesity and fetal growth using single-nucleus RNAseq and microfluidic organoids.

This study identifies miR-210 as a protective factor against hepatic steatosis by inhibiting CIDEC expression in MASLD.

The paper develops a linear regression model to predict biological brain ageing and identifies age-related gene expression patterns linked to Parkinson's disease susceptibility.

This study identifies how X-linked gene dosage affects human primordial germ cell-like cell (hPGCLC) specification, revealing species-specific roles of SOX2 and SOX17 influenced by escape genes.

This study identifies Troy-positive progenitor cells in the mouse esophageal epithelium and shows how Troy regulates their fate decisions and tissue homeostasis.

This study shows that appropriate glycemic management in type 1 diabetes protects the germline but not the uterine environment, affecting fetal growth and placental function.

This study uses allele-resolved single-cell multi-omics to reveal the dynamics and transcriptional kinetics of X-chromosome upregulation in mouse development.

Smart3-ATAC enables joint analysis of mRNA and chromatin accessibility in single cells with higher yield than existing droplet multiome methods.

The paper uses single-cell transcriptomics to identify MHCII-expressing keratinocytes in pressure ulcers linked to poor healing outcomes.

The paper identifies stable gene markers distinguishing vulnerable SNc and resilient VTA dopamine neurons in humans and shows their expression changes in Parkinson's Disease.

This study uses LCM-seq to analyze transcriptional changes in SMA, identifying cell-type specific adaptations that explain resistance in ocular motor neurons.

This study identifies robust markers for human midbrain dopamine neurons using LCM-seq, showing they can distinguish SNc and VTA neurons in both human and mouse.