Integrating Mendelian Randomization and Multi-Omics to Elucidate the Influence of Serum Metabolites and Related Hub Genes on Pancreatic Cancer Risk and Drug Target Prediction
Data represents total raw recording of manually counted number of tdTomato+ (recombined cells) based on immunofluorescence images in islets, ducts, and acinar cell compartment in pancreas after 7 days
Background/Aims: We aimed to study the involvement of circZMYM2 (hsa_circ_0099999) in pancreatic cancer (PC) cell proliferation, apoptosis and invasion and to figured out the underlying
