In silico MS/MS prediction for peptidoglycan profiling uncovers novel anti-inflammatory peptidoglycan fragments of the gut microbiota

• Main Authors: Kwan, Jeric Mun Chung, Liang, Yaquan, Ng, Evan Wei Long, Sviriaeva, Ekaterina, Li, Chenyu, Zhao, Yilin, Zhang, Xiao-Lin, Liu, Xue-Wei, Wong, Sunny Hei, Qiao, Yuan
• 其他作者: School of Chemistry, Chemical Engineering and Biotechnology
• 格式: Article
• 語言: English
• 出版: 2024
• 主題: Medicine, Health and Life Sciences; Anti-inflammatories; Bifidobacterium
• 在線閱讀: https://hdl.handle.net/10356/174227
• 機構: Nanyang Technological University

Peptidoglycan is an essential exoskeletal polymer across all bacteria. Gut microbiota-derived peptidoglycan fragments (PGNs) are increasingly recognized as key effector molecules that impact host biology. However, the current peptidoglycan analysis workflow relies on laborious manual identification...