Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
Full-Text Articles in Life Sciences
Integration Of Time-Series Meta-Omics Data Reveals How Microbial Ecosystems Respond To Disturbance., Malte Herold, Susana Martínez Arbas, Shaman Narayanasamy, Abdul R Sheik, Luise A K Kleine-Borgmann, Laura A Lebrun, Benoît J Kunath, Hugo Roume, Irina Bessarab, Rohan B H Williams, John D Gillece, James M Schupp, Paul S Keim, Christian Jäger, Michael R Hoopmann, Robert L Moritz, Yuzhen Ye, Sujun Li, Haixu Tang, Anna Heintz-Buschart, Patrick May, Emilie E L Muller, Cedric C Laczny, Paul Wilmes
Integration Of Time-Series Meta-Omics Data Reveals How Microbial Ecosystems Respond To Disturbance., Malte Herold, Susana Martínez Arbas, Shaman Narayanasamy, Abdul R Sheik, Luise A K Kleine-Borgmann, Laura A Lebrun, Benoît J Kunath, Hugo Roume, Irina Bessarab, Rohan B H Williams, John D Gillece, James M Schupp, Paul S Keim, Christian Jäger, Michael R Hoopmann, Robert L Moritz, Yuzhen Ye, Sujun Li, Haixu Tang, Anna Heintz-Buschart, Patrick May, Emilie E L Muller, Cedric C Laczny, Paul Wilmes
Articles, Abstracts, and Reports
The development of reliable, mixed-culture biotechnological processes hinges on understanding how microbial ecosystems respond to disturbances. Here we reveal extensive phenotypic plasticity and niche complementarity in oleaginous microbial populations from a biological wastewater treatment plant. We perform meta-omics analyses (metagenomics, metatranscriptomics, metaproteomics and metabolomics) on in situ samples over 14 months at weekly intervals. Based on 1,364 de novo metagenome-assembled genomes, we uncover four distinct fundamental niche types. Throughout the time-series, we observe a major, transient shift in community structure, coinciding with substrate availability changes. Functional omics data reveals extensive variation in gene expression and substrate usage amongst community members. …
Multi-Omic Single-Cell Snapshots Reveal Multiple Independent Trajectories To Drug Tolerance In A Melanoma Cell Line., Yapeng Su, Melissa E Ko, Hanjun Cheng, Ronghui Zhu, Min Xue, Jessica Wang, Jihoon W Lee, Luke Frankiw, Alexander Xu, Stephanie Wong, Lidia Robert, Kaitlyn Takata, Dan Yuan, Yue Lu, Sui Huang, Antoni Ribas, Raphael Levine, Garry P Nolan, Wei Wei, Sylvia K Plevritis, Guideng Li, David Baltimore, James R Heath
Multi-Omic Single-Cell Snapshots Reveal Multiple Independent Trajectories To Drug Tolerance In A Melanoma Cell Line., Yapeng Su, Melissa E Ko, Hanjun Cheng, Ronghui Zhu, Min Xue, Jessica Wang, Jihoon W Lee, Luke Frankiw, Alexander Xu, Stephanie Wong, Lidia Robert, Kaitlyn Takata, Dan Yuan, Yue Lu, Sui Huang, Antoni Ribas, Raphael Levine, Garry P Nolan, Wei Wei, Sylvia K Plevritis, Guideng Li, David Baltimore, James R Heath
Articles, Abstracts, and Reports
The determination of individual cell trajectories through a high-dimensional cell-state space is an outstanding challenge for understanding biological changes ranging from cellular differentiation to epigenetic responses of diseased cells upon drugging. We integrate experiments and theory to determine the trajectories that single BRAFV600E mutant melanoma cancer cells take between drug-naive and drug-tolerant states. Although single-cell omics tools can yield snapshots of the cell-state landscape, the determination of individual cell trajectories through that space can be confounded by stochastic cell-state switching. We assayed for a panel of signaling, phenotypic, and metabolic regulators at points across 5 days of drug treatment to …
The Proteomexchange Consortium In 2020: Enabling 'Big Data' Approaches In Proteomics., Eric W Deutsch, Nuno Bandeira, Vagisha Sharma, Yasset Perez-Riverol, Jeremy J Carver, Deepti J Kundu, David García-Seisdedos, Andrew F Jarnuczak, Suresh Hewapathirana, Benjamin S Pullman, Julie Wertz, Zhi Sun, Shin Kawano, Shujiro Okuda, Yu Watanabe, Henning Hermjakob, Brendan Maclean, Michael J Maccoss, Yunping Zhu, Yasushi Ishihama, Juan A Vizcaíno
The Proteomexchange Consortium In 2020: Enabling 'Big Data' Approaches In Proteomics., Eric W Deutsch, Nuno Bandeira, Vagisha Sharma, Yasset Perez-Riverol, Jeremy J Carver, Deepti J Kundu, David García-Seisdedos, Andrew F Jarnuczak, Suresh Hewapathirana, Benjamin S Pullman, Julie Wertz, Zhi Sun, Shin Kawano, Shujiro Okuda, Yu Watanabe, Henning Hermjakob, Brendan Maclean, Michael J Maccoss, Yunping Zhu, Yasushi Ishihama, Juan A Vizcaíno
Articles, Abstracts, and Reports
The ProteomeXchange (PX) consortium of proteomics resources (http://www.proteomexchange.org) has standardized data submission and dissemination of mass spectrometry proteomics data worldwide since 2012. In this paper, we describe the main developments since the previous update manuscript was published in Nucleic Acids Research in 2017. Since then, in addition to the four PX existing members at the time (PRIDE, PeptideAtlas including the PASSEL resource, MassIVE and jPOST), two new resources have joined PX: iProX (China) and Panorama Public (USA). We first describe the updated submission guidelines, now expanded to include six members. Next, with current data submission statistics, we demonstrate that the …