Literature DB >> 25849460

¹H NMR metabolic profiling of plasma reveals additional phenotypes in knockout mouse models.

Fay Probert1,2, Paul Rice1, Cheryl L Scudamore1, Sara Wells1, Roger Williams2, Tertius A Hough1, I Jane Cox2.   

Abstract

The International Mouse Phenotyping Consortium program has been established to ascribe biological functions to systematically knocked-out (KO) genes by in vivo and ex vivo phenotyping. The plasma clinical chemistry screen includes an assessment of liver, kidney, and bone function and provides a basic lipid profile and histopathology reports on 32 tissues. We report on the inclusion of plasma analysis by proton nuclear magnetic resonance ((1)H NMR) spectroscopy. (1)H NMR spectroscopy data are summarized from 116 running baseline controls with 18 homozygous and 2 heterozygous KO mouse lines along with wild-type controls (typically n = 7 per gender). For the baseline group, the intersample variation of (1)H NMR glucose measurement was 12%, and the (1)H NMR spectroscopy data were influenced by gender and feeding status. There were good correlations between the clinical chemistry and the (1)H NMR spectroscopy measurements for glucose, triglycerides, and HDL cholesterol. Significant differences were observed in two KO lines, Agl (MGI: 1924809) and Bbs5 (MGI: 1919819), by (1)H NMR spectroscopy, clinical chemistry, and histopathology. In a further two KO lines, Elmod1 (MGI: 3583900) and Emc10 (MGI: 1916933), (1)H NMR metabolic differences were observed, but no other ex vivo changes were detected. In the remaining 16 lines, no ex vivo abnormal phenotypes were observed. Plasma (1)H NMR spectroscopy can therefore provide a novel perspective on the function of knocked-out genes.

Entities:  

Keywords:  knockout mouse; liver; metabolomics; metabonomics; phenotyping screen; plasma; proton nuclear magnetic resonance spectroscopy

Mesh:

Year:  2015        PMID: 25849460     DOI: 10.1021/pr501039k

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  5 in total

1.  Structural and mechanistic basis of the EMC-dependent biogenesis of distinct transmembrane clients.

Authors:  Lakshmi E Miller-Vedam; Bastian Bräuning; Katerina D Popova; Nicole T Schirle Oakdale; Jessica L Bonnar; Jesuraj R Prabu; Elizabeth A Boydston; Natalia Sevillano; Matthew J Shurtleff; Robert M Stroud; Charles S Craik; Brenda A Schulman; Adam Frost; Jonathan S Weissman
Journal:  Elife       Date:  2020-11-25       Impact factor: 8.140

2.  Rapid Identification of New Biomarkers for the Classification of GM1 Type 2 Gangliosidosis Using an Unbiased 1H NMR-Linked Metabolomics Strategy.

Authors:  Benita C Percival; Yvonne L Latour; Cynthia J Tifft; Martin Grootveld
Journal:  Cells       Date:  2021-03-05       Impact factor: 6.600

3.  NMR analysis reveals significant differences in the plasma metabolic profiles of Niemann Pick C1 patients, heterozygous carriers, and healthy controls.

Authors:  Fay Probert; Victor Ruiz-Rodado; Danielle Te Vruchte; Elena-Raluca Nicoli; Tim D W Claridge; Christopher A Wassif; Nicole Farhat; Forbes D Porter; Frances M Platt; Martin Grootveld
Journal:  Sci Rep       Date:  2017-07-24       Impact factor: 4.379

Review 4.  Predicting human disease mutations and identifying drug targets from mouse gene knockout phenotyping campaigns.

Authors:  Robert Brommage; David R Powell; Peter Vogel
Journal:  Dis Model Mech       Date:  2019-05-07       Impact factor: 5.758

Review 5.  Squaring the EMC - how promoting membrane protein biogenesis impacts cellular functions and organismal homeostasis.

Authors:  Norbert Volkmar; John C Christianson
Journal:  J Cell Sci       Date:  2020-04-24       Impact factor: 5.285

  5 in total

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