Sui Wang

MKMC enables reference-free transcriptomic analysis using k-mer representations, detecting isoform-specific events and matching alignment-based methods in differential expression and age prediction.

This paper reviews mitochondrial transplantation for eye diseases and evaluates delivery methods, finding that different routes target distinct retinal areas and show feasibility for further study.

This study demonstrates a programmable macromolecule delivery system using engineered trogocytosis to transfer proteins between cells, enabling genome editing and targeted cell ablation.

The paper creates a multi-tissue transcriptomic aging atlas in killifish, identifies age-altered pathways, and develops tissue-specific transcriptomic clocks with sex-specific biomarkers for aging prediction.

This study designs cell type-specific AAV promoters using deep learning, outperforming rational approaches in mouse retinal cells and showing promise for human applications.

This study shows that subcutaneous administration of ngFSTL1 improves cardiac and vascular function in a swine model of diabetic myocardial infarction.

The paper presents a comprehensive genetic perturbation dataset using Cell Painting to analyze gene expression effects in human cells, revealing novel gene clusters and functional relationships.

The paper identifies region-specific transcriptomic changes in motor cortex and striatum during motor learning using single-cell RNA sequencing and genetic labeling.

This study identifies Muller glial cells as sensitive to diabetes and shows that Zfp36 expression in these cells can protect against diabetic retinopathy.

This paper introduces positively tuned GEVIs that enhance spike detection in vivo with standard imaging systems, offering higher temporal resolution than calcium indicators.

The paper shows that Mettl14-mediated m6A modification is critical for cell cycle progression of late-born retinal progenitor cells, preventing cell cycle arrest and neuronal death.

The paper introduces iGWAS, a method using self-supervised deep learning to extract phenotypes from medical images for GWAS, finding new genetic loci related to retinal vessel development.

The paper identifies synucleins as essential for vesicular exocytosis of endocannabinoids, linking their role in Parkinson's Disease to synaptic plasticity.

The paper identifies cis-regulatory elements (CREs) for photoreceptor cell types using Nrl-dependent ncRNA profiling and ATAC-seq in mouse retina.