Biology subjects

Bae, S.-W.

Publications and source records attributed to Bae, S.-W..

2 recordsLinked to original sources

bioRxiv2025

AI-powered Deep Visual Proteomics reveals critical molecular transitions in pancreatic cancer precursors

Pancreatic ductal adenocarcinoma (PDAC) evolves through non-invasive precursor lesions, yet its earliest molecular events remain unclear. We established the first spatially resolved proteomic atlas of these lesions using Deep Visual Proteomics (DVP). AI-driven computational pathology classified normal ducts, acinar-ductal metaplasia (ADM), and pancreatic intraepithelial neoplasia (PanIN) from cancer-free organ donors (incidental, "iPanINs") and PDAC patients (cancer-associated, "cPanINs"). Laser microdissection of 96 discrete regions containing as few as 100 phenotypically matched cells and ultrasensitive mass spectrometry quantified a total of 8,512 proteins from formalin-fixed tissues. Distinct molecular signatures stratifying cPanINs from iPanINs, and remarkably, many cancer-associated proteins already marked histologically normal epithelium. Four core programs - stress adaptation, immune engagement, metabolic reprogramming, mitochondrial dysfunction - emerged early and intensified during progression. By integrating DVP with AI-guided tissue annotation, we demonstrate that molecular reprogramming precedes histological transformation, creating opportunities for earlier detection and interception of a near-uniformly lethal cancer. SignificanceOur spatially-resolved proteomics atlas uncovers distinct molecular signatures in pancreatic cancer adjacent precursor lesions, clearly diverging from those in incidental, cancer-free pancreatic lesions. Our deep proteomics dataset offers a valuable resource for identifying novel biomarkers and therapeutic targets, informed by the earliest cancer-associated molecular events in archival pancreatic tissues.

cancer biology↗

bioRxiv2022

Comparison of thigh muscle characteristics between older and young women using tensiomyography

Tensiomyography is a non-invasive method of evaluating neuromuscular function through skeletal muscle contraction. The objective of this study was to compare the thigh muscle characteristics of older and young women using tensiomyography. Nineteen older and fifteen young women without musculoskeletal diseases were included. For the quadriceps, the bilateral vastus medialis (VM), vastus lateralis (VL), and rectus femoris (RF) and for the hamstrings, the bilateral semitendinosus (ST) and biceps femoris (BF) were measured. Result variables--maximal displacement (Dm), contraction time (Tc), and contraction velocity (Vc)--were compared. Dm values of the hamstrings of both legs and their summed values were significantly smaller in older women than in young women; no difference was found in the Dm values of the quadriceps. Tc and Vc of the hamstrings, VM, and VL were longer and slower, respectively, in older women than in young women. There were no significant differences in the Dm, Tc, or Vc of the RF between older and young women. Decreased Dm of the hamstrings in older women occurred due to changes in muscle function, but not muscle mass. The changes in the Tc of the hamstrings, VM, and VL indicate that type II muscle fibers were converted to type I in older women. There was no difference in RF between older and young women, implying that the RF is not affected by age. Our findings indicate that resistance exercises, which preserve the type II fibers, and flexibility exercises, which reduce stiffness, are appropriate for the lower extremity in older women.

biophysics↗