Ying Sun

MillionTrees: A global benchmark for tree detection across geography, sensor, and annotation geometry

The paper introduces MillionTrees, a global benchmark dataset for airborne tree detection, showing that current models struggle to generalize across diverse data and that training on MillionTrees improves performance.

Epithelial Self-Organization Patterns the Tadpole Oral Disc

This study shows that the tadpole oral disc develops through epithelial self-organization without mesenchymal organizers, leading to module-specific variations that mirror evolutionary patterns.

Segmented poly(A) tails with microRNA target sites confer tissue-specific regulation for mRNA therapeutics

This study engineers segmented poly(A) tails with microRNA target sites to enable tissue-specific regulation of mRNA-LNPs, showing position-dependent expression control in vitro and in vivo.

PanKbase Integrated Single-Cell Map: A Comprehensive Atlas of Human Pancreatic Islets

The paper integrates multiple scRNA-seq datasets to create a comprehensive atlas of human pancreatic islets, identifying 13 cell populations and providing a resource for diabetes research.

IgG4⁺ plasma cell enrichment and {lambda}-chain-biased BCR remodeling drive low-grade autoimmunity in chronic obstructive pulmonary disease

This study identifies IgG4⁺ plasma cell enrichment and λ-chain-biased BCR remodeling in COPD, linking them to low-grade autoimmunity and chronic inflammation.

Genotype-Phenotype Distinctions in Spastic Paraplegia 4 Reveal HDAC6 as a Therapeutic Target

This study uses isogenic hiPSC-derived motor cortical organoids to identify HDAC6 hyperactivation as a key driver of SPG4 pathology and a potential therapeutic target.

Oligodendrocyte precursor cells establish contacts with somata of active neurons

The paper shows that oligodendrocyte precursor cells (OPCs) form contacts with active neurons, reducing their calcium signals and thereby regulating neuronal activity.

Mapping the regulatory effects of common and rare non-coding variants across cellular and developmental contexts in the brain and heart

The paper predicts the regulatory effects of non-coding variants across brain and heart cellular contexts using deep learning, identifying rare variants with significant developmental impacts.