Literature DB >> 33617230

Multi-Omic Single-Shot Technology for Integrated Proteome and Lipidome Analysis.

Yuchen He1, Edrees H Rashan2, Vanessa Linke1, Evgenia Shishkova1, Alexander S Hebert1, Adam Jochem3, Michael S Westphall1, David J Pagliarini2,3,4, Katherine A Overmyer1,3, Joshua J Coon1,3,5.   

Abstract

Mass spectrometry (MS) serves as the centerpiece technology for proteome, lipidome, and metabolome analysis. To gain a better understanding of the multifaceted networks of myriad regulatory layers in complex organisms, integration of different multiomic layers is increasingly performed, including joint extraction methods of diverse biomolecular classes and comprehensive data analyses of different omics. Despite the versatility of MS systems, fractured methodology drives nearly all MS laboratories to specialize in analysis of a single ome at the exclusion of the others. Although liquid chromatography-mass spectrometry (LC-MS) analysis is similar for different biomolecular classes, the integration on the instrument level is lagging behind. The recent advancements in high flow proteomics enable us to take a first step towards integration of protein and lipid analysis. Here, we describe a technology to achieve broad and deep coverage of multiple molecular classes simultaneously through multi-omic single-shot technology (MOST), requiring only one column, one LC-MS instrument, and a simplified workflow. MOST achieved great robustness and reproducibility. Its application to a Saccharomyces cerevisiae study consisting of 20 conditions revealed 2842 protein groups and 325 lipids and potential molecular relationships.

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Year:  2021        PMID: 33617230      PMCID: PMC8028036          DOI: 10.1021/acs.analchem.0c04764

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  41 in total

1.  Rtn1p is involved in structuring the cortical endoplasmic reticulum.

Authors:  Johan-Owen De Craene; Jeff Coleman; Paula Estrada de Martin; Marc Pypaert; Scott Anderson; John R Yates; Susan Ferro-Novick; Peter Novick
Journal:  Mol Biol Cell       Date:  2006-04-19       Impact factor: 4.138

2.  MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification.

Authors:  Jürgen Cox; Matthias Mann
Journal:  Nat Biotechnol       Date:  2008-11-30       Impact factor: 54.908

3.  Orosomucoid-like 3 Supports Rhinovirus Replication in Human Epithelial Cells.

Authors:  Yiping Liu; Yury A Bochkov; Jens C Eickhoff; Tianchen Hu; Nicholas A Zumwalde; Jin Wen Tan; Christopher Lopez; Paul S Fichtinger; Thiruchelvi R Reddy; Katherine A Overmyer; Jennifer E Gumperz; Joshua Coon; Sameer K Mathur; James E Gern; Judith A Smith
Journal:  Am J Respir Cell Mol Biol       Date:  2020-06       Impact factor: 6.914

4.  A novel approach to the simultaneous extraction and non-targeted analysis of the small molecules metabolome and lipidome using 96-well solid phase extraction plates with column-switching technology.

Authors:  Yubo Li; Zhenzhu Zhang; Xinyu Liu; Aizhu Li; Zhiguo Hou; Yuming Wang; Yanjun Zhang
Journal:  J Chromatogr A       Date:  2015-07-16       Impact factor: 4.759

5.  MPLEx: a method for simultaneous pathogen inactivation and extraction of samples for multi-omics profiling.

Authors:  Kristin E Burnum-Johnson; Jennifer E Kyle; Amie J Eisfeld; Cameron P Casey; Kelly G Stratton; Juan F Gonzalez; Fabien Habyarimana; Nicholas M Negretti; Amy C Sims; Sadhana Chauhan; Larissa B Thackray; Peter J Halfmann; Kevin B Walters; Young-Mo Kim; Erika M Zink; Carrie D Nicora; Karl K Weitz; Bobbie-Jo M Webb-Robertson; Ernesto S Nakayasu; Brian Ahmer; Michael E Konkel; Vladimir Motin; Ralph S Baric; Michael S Diamond; Yoshihiro Kawaoka; Katrina M Waters; Richard D Smith; Thomas O Metz
Journal:  Analyst       Date:  2017-01-26       Impact factor: 4.616

6.  Simultaneous Metabolite, Protein, Lipid Extraction (SIMPLEX): A Combinatorial Multimolecular Omics Approach for Systems Biology.

Authors:  Cristina Coman; Fiorella Andrea Solari; Andreas Hentschel; Albert Sickmann; René Peiman Zahedi; Robert Ahrends
Journal:  Mol Cell Proteomics       Date:  2016-01-26       Impact factor: 5.911

7.  Standard flow liquid chromatography for shotgun proteomics in bioenergy research.

Authors:  Susana M González Fernández-Niño; A Michelle Smith-Moritz; Leanne Jade G Chan; Paul D Adams; Joshua L Heazlewood; Christopher J Petzold
Journal:  Front Bioeng Biotechnol       Date:  2015-04-01

Review 8.  Multi-omics approaches to disease.

Authors:  Yehudit Hasin; Marcus Seldin; Aldons Lusis
Journal:  Genome Biol       Date:  2017-05-05       Impact factor: 13.583

Review 9.  A scoping review and proposed workflow for multi-omic rare disease research.

Authors:  Katie Kerr; Helen McAneney; Laura J Smyth; Caitlin Bailie; Shane McKee; Amy Jayne McKnight
Journal:  Orphanet J Rare Dis       Date:  2020-04-28       Impact factor: 4.123

10.  Robust, reproducible and quantitative analysis of thousands of proteomes by micro-flow LC-MS/MS.

Authors:  Yangyang Bian; Runsheng Zheng; Florian P Bayer; Cassandra Wong; Yun-Chien Chang; Chen Meng; Daniel P Zolg; Maria Reinecke; Jana Zecha; Svenja Wiechmann; Stephanie Heinzlmeir; Johannes Scherr; Bernhard Hemmer; Mike Baynham; Anne-Claude Gingras; Oleksandr Boychenko; Bernhard Kuster
Journal:  Nat Commun       Date:  2020-01-09       Impact factor: 14.919

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  5 in total

1.  Maximizing MS/MS Acquisition for Lipidomics Using Capillary Separation and Orbitrap Tribrid Mass Spectrometer.

Authors:  Yuchen He; Dain R Brademan; Paul D Hutchins; Katherine A Overmyer; Joshua J Coon
Journal:  Anal Chem       Date:  2022-02-09       Impact factor: 6.986

2.  High-fat diet disrupts REG3γ and gut microbial rhythms promoting metabolic dysfunction.

Authors:  Katya Frazier; Amal Kambal; Elizabeth A Zale; Joseph F Pierre; Nathaniel Hubert; Sawako Miyoshi; Jun Miyoshi; Daina L Ringus; Dylan Harris; Karen Yang; Katherine Carroll; Jake B Hermanson; John S Chlystek; Katherine A Overmyer; Candace M Cham; Mark W Musch; Joshua J Coon; Eugene B Chang; Vanessa A Leone
Journal:  Cell Host Microbe       Date:  2022-04-18       Impact factor: 31.316

3.  Multi-Omic Analysis to Characterize Metabolic Adaptation of the E. coli Lipidome in Response to Environmental Stress.

Authors:  Thomas Kralj; Madison Nuske; Vinzenz Hofferek; Marc-Antoine Sani; Tzong-Hsien Lee; Frances Separovic; Marie-Isabel Aguilar; Gavin E Reid
Journal:  Metabolites       Date:  2022-02-11

4.  Non-volatile organic compounds in exhaled breath particles correspond to active tuberculosis.

Authors:  Dapeng Chen; Noella A Bryden; Wayne A Bryden; Michael McLoughlin; Dexter Smith; Alese P Devin; Emily R Caton; Caroline R Haddaway; Michele Tameris; Thomas J Scriba; Mark Hatherill; Sophia Gessner; Digby F Warner; Robin Wood
Journal:  Sci Rep       Date:  2022-05-13       Impact factor: 4.996

5.  Rapid preparation of human blood plasma for bottom-up proteomics analysis.

Authors:  Evgenia Shishkova; Joshua J Coon
Journal:  STAR Protoc       Date:  2021-10-05
  5 in total

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