Jeong Yun

Dec 18, 2024 | bmcgenomics.biomedcentral.com | Min Hyung Ryu |Jeong Yun |Kangjin Kim |Michele Gentili |Auyon J Ghosh |Frank C. Sciurba | +10 more

465 subjects met the case criteria for COPD, 213 subjects met the case criteria for IPF, and 348 subjects met the control criteria. Demographic and clinical characteristics of the 1,026 subjects included in our analysis are shown in Table 1. Notably, IPF subjects were predominantly male (70%). The cohort included 90% of self-identified white subjects. COPD subjects were predominantly smokers (95.2% have ever smoked) and IPF and control subjects were 65.3% and 67.8% ever smokers, respectively.

May 6, 2024 | nature.com | Yash Pershad |Adrienne M. Stilp |Braxton D. Mitchell |Joshua Lewis |Nathalie Chami |Zhe Wang | +21 more

AbstractClonal hematopoiesis (CH) is characterized by the acquisition of a somatic mutation in a hematopoietic stem cell that results in a clonal expansion. These driver mutations can be single nucleotide variants in cancer driver genes or larger structural rearrangements called mosaic chromosomal alterations (mCAs). The factors that influence the variations in mCA fitness and ultimately result in different clonal expansion rates are not well understood.

Mar 27, 2024 | medrxiv.org | Min Hyung Ryu |Jeong Yun |Kangjin Kim |Michele Gentili

Dr. Hersh reports grant support from Bayer, Boehringer-Ingelheim, and Vertex, and consulting fees from Chiesi, Sanofi, and Takeda, unrelated to this manuscript. Dr. Silverman reports grant support from Bayer and Northpond Laboratories. Dr. Cho reports grant support from Bayer. Dr. DeMeo reports grant support from Bayer and Alpha-1 Foundation. Dr. Castaldi reports grant support from Bayer, Sanofi and consulting fees from Verona Pharmaceuticals.

Nov 7, 2023 | biorxiv.org | Yichen Si |Yongha Hwang |Jeong Yun |Weiqiu Cheng

AbstractSpatial transcriptomics (ST) technologies have advanced to enable transcriptome-wide gene expression analysis at submicrometer resolution over large areas. Analysis of high-resolution ST data relies heavily on image-based cell segmentation or gridding, which often fails in complex tissues due to diversity and irregularity of cell size and shape.

Nov 5, 2023 | biorxiv.org | Yichen Si |Yongha Hwang |Jeong Yun |Weiqiu Cheng

AbstractSpatial transcriptomics (ST) technologies have advanced to enable transcriptome-wide gene expression analysis at submicrometer resolution over large areas. Analysis of high-resolution ST data relies heavily on image-based cell segmentation or gridding, which often fails in complex tissues due to diversity and irregularity of cell size and shape.