Yingxin Lin

1 month ago | biorxiv.org | Chen Lin |Yingxin Lin |Wenxuan Li |Leqi Xu

AbstractIdentifying cell-type-specific expression quantitative trait loci (eQTLs) is important to understanding the genetic regulation of gene expressions at the cell-type level and its relevance to complex traits. However, existing eQTL fine-mapping methods are limited in power and accuracy when cell types are analyzed separately.

Jan 15, 2025 | nature.com | Yingxin Lin |Jianru Wang

AbstractInadequate tendon healing and heterotopic bone formation result in substantial pain and disability, yet the specific cells responsible for tendon healing remain uncertain. Here we identify a CD26+ tendon stem/progenitor cells residing in peritendon, which constitutes a primitive stem cell population with self-renewal and multipotent differentiation potentials.

Aug 27, 2024 | biorxiv.org | Tianyu Liu |Yingxin Lin |Xiao Luo |Yizhou Sun

AbstractCharacterizing cell activities within a spatially resolved context is essential to enhance our understanding of spatially-induced cellular states and features. While single-cell RNA-seq (scRNA-seq) offers comprehensive profiling of cells within a tissue, it fails to capture spatial context.

Jul 17, 2023 | nature.com | Yingxin Lin |Ellis Patrick

scMerge2Single-cell grouping within one batchFollowing the same principals as scMerge, the scMerge2 approach begins by grouping the cells that share similar biological signals within each dataset or batch. We can approach this in two ways: one way is to perform unsupervised clustering; the other way is using results from supervised cell type classification. Clustering-based grouping: This is performed by default when no cell type label is used as input.