Reference data based insights expand understanding of human metabolomes [article]

Julia M Gauglitz, Wout Bittremieux, Candace L Williams, Kelly C Weldon, Morgan W Panitchpakdi, Francesca Di Ottavio, Christine M Aceves, Elizabeth Brown, Nicole C Sikora, Alan K. Jarmusch, Cameron Martino, Anupriya Tripathi (+52 others)
2020 bioRxiv   pre-print
The human metabolome has remained largely unknown, with most studies annotating ~10% of features. In nucleic acid sequencing, annotating transcripts by source has proven essential for understanding gene function. Here we generalize this concept to stool, plasma, urine and other human metabolomes, discovering that food-based annotations increase the interpreted fraction of molecular features 7-fold, providing a general framework for expanding the interpretability of human metabolomic "dark matter."
more » ... bolomic "dark matter."
doi:10.1101/2020.07.08.194159 fatcat:pnkxzx3v3rbpnd24iaixvb34va