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Full-Text Articles in Medicine and Health Sciences
Homozygous Mtap Deletion In Primary Human Glioblastoma Is Not Associated With Elevation Of Methylthioadenosine., Yasaman Barekatain, Jeffrey J Ackroyd, Victoria C Yan, Sunada Khadka, Lin Wang, Ko-Chien Chen, Anton H Poral, Theresa Tran, Dimitra K Georgiou, Kenisha Arthur, Yu-Hsi Lin, Nikunj Satani, Elliot S Ballato, Eliot I Behr, Ana C Decarvalho, Roel G W Verhaak, John De Groot, Jason T Huse, John M Asara, Raghu Kalluri, Florian L Muller
Homozygous Mtap Deletion In Primary Human Glioblastoma Is Not Associated With Elevation Of Methylthioadenosine., Yasaman Barekatain, Jeffrey J Ackroyd, Victoria C Yan, Sunada Khadka, Lin Wang, Ko-Chien Chen, Anton H Poral, Theresa Tran, Dimitra K Georgiou, Kenisha Arthur, Yu-Hsi Lin, Nikunj Satani, Elliot S Ballato, Eliot I Behr, Ana C Decarvalho, Roel G W Verhaak, John De Groot, Jason T Huse, John M Asara, Raghu Kalluri, Florian L Muller
Faculty Research 2021
Homozygous deletion of methylthioadenosine phosphorylase (MTAP) in cancers such as glioblastoma represents a potentially targetable vulnerability. Homozygous MTAP-deleted cell lines in culture show elevation of MTAP's substrate metabolite, methylthioadenosine (MTA). High levels of MTA inhibit protein arginine methyltransferase 5 (PRMT5), which sensitizes MTAP-deleted cells to PRMT5 and methionine adenosyltransferase 2A (MAT2A) inhibition. While this concept has been extensively corroborated in vitro, the clinical relevance relies on exhibiting significant MTA accumulation in human glioblastoma. In this work, using comprehensive metabolomic profiling, we show that MTA secreted by MTAP-deleted cells in vitro results in high levels of extracellular MTA. We further demonstrate …
Metaboanalyst 5.0: Narrowing The Gap Between Raw Spectra And Functional Insights., Zhiqiang Pang, Jasmine Chong, Guangyan Zhou, David Anderson De Lima Morais, Le Chang, Michel Barrette, Carol Gauthier, Pierre-Étienne Jacques, Shuzhao Li, Jianguo Xia
Metaboanalyst 5.0: Narrowing The Gap Between Raw Spectra And Functional Insights., Zhiqiang Pang, Jasmine Chong, Guangyan Zhou, David Anderson De Lima Morais, Le Chang, Michel Barrette, Carol Gauthier, Pierre-Étienne Jacques, Shuzhao Li, Jianguo Xia
Faculty Research 2021
Since its first release over a decade ago, the MetaboAnalyst web-based platform has become widely used for comprehensive metabolomics data analysis and interpretation. Here we introduce MetaboAnalyst version 5.0, aiming to narrow the gap from raw data to functional insights for global metabolomics based on high-resolution mass spectrometry (HRMS). Three modules have been developed to help achieve this goal, including: (i) a LC-MS Spectra Processing module which offers an easy-to-use pipeline that can perform automated parameter optimization and resumable analysis to significantly lower the barriers to LC-MS1 spectra processing; (ii) a Functional Analysis module which expands the previous MS Peaks …
Integrating Genomics And Metabolomics For Scalable Non-Ribosomal Peptide Discovery., Bahar Behsaz, Edna Bode, Alexey Gurevich, Yan-Ni Shi, Florian Grundmann, Deepa Acharya, Andrés Mauricio Caraballo-Rodríguez, Amina Bouslimani, Morgan Panitchpakdi, Annabell Linck, Changhui Guan, Julia Oh, Pieter C Dorrestein, Helge B Bode, Pavel A Pevzner, Hosein Mohimani
Integrating Genomics And Metabolomics For Scalable Non-Ribosomal Peptide Discovery., Bahar Behsaz, Edna Bode, Alexey Gurevich, Yan-Ni Shi, Florian Grundmann, Deepa Acharya, Andrés Mauricio Caraballo-Rodríguez, Amina Bouslimani, Morgan Panitchpakdi, Annabell Linck, Changhui Guan, Julia Oh, Pieter C Dorrestein, Helge B Bode, Pavel A Pevzner, Hosein Mohimani
Faculty Research 2021
Non-Ribosomal Peptides (NRPs) represent a biomedically important class of natural products that include a multitude of antibiotics and other clinically used drugs. NRPs are not directly encoded in the genome but are instead produced by metabolic pathways encoded by biosynthetic gene clusters (BGCs). Since the existing genome mining tools predict many putative NRPs synthesized by a given BGC, it remains unclear which of these putative NRPs are correct and how to identify post-assembly modifications of amino acids in these NRPs in a blind mode, without knowing which modifications exist in the sample. To address this challenge, here we report NRPminer, …