Evidence map›Paper›PMID 32885503›Full record

ArticleJournal of mass spectrometry : JMS2021

Extraction optimization for combined metabolomics, peptidomics, and proteomics analysis of gut microbiota samples.

Caitlin Keller, Pingli Wei, Benjamin Wancewicz, Tzu-Wen L Cross, Federico E Rey, Lingjun Li

Abstract read
In one paragraph

Article in Journal of mass spectrometry : JMS, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Caitlin KellerDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA.
Pingli WeiDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA.
Benjamin WancewiczDepartment of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA.
Tzu-Wen L CrossDepartment of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA.
Federico E ReyDepartment of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA.
Lingjun LiDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA.ORCID https://orcid.org/0000-0003-0056-3869

Funding

Training Program in Translational Cardiovascular Science (TPTCS)T32HL007936 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI Lee Lochbaum Eckhardt, Gail A Robertson · 2001 to 2026
$11.6M
Mass Spectrometric Studies of Neuropeptides in FeedingR01DK071801 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI · 2006 to 2026
$6.7M
Di-Leu-enabled multiplexed quantitation for biomarker discovery and validation in Alzheimer's diseaseRF1AG052324 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2018 to 2018
$2.4M
Acquisition of a High-Field Dual Source FTICR-MS for Pharmaceutical ResearchS10RR029531 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2011 to 2011
$2.1M
Leducq FoundationNational Heart Lung and Blood Institute T32 HL 007936NCRR NIH HHS S10 RR029531NCRR NIH HHS S10RR029531NHLBI NIH HHS T32 HL007936NIA NIH HHS RF1 AG052324NIA NIH HHS RF1AG052324NIDDK NIH HHS R01 DK071801NIDDK NIH HHS R01DK071801University of Wisconsin-MadisonUniversity of Wisconsin-Madison School of PharmacyWisconsin Alumni Research Foundation
6 · The paper itself

Abstract

Multiomic studies are increasingly performed to gain a deeper understanding of molecular processes occurring in a biological system, such as the complex microbial communities (i.e., microbiota) that reside the distal gut. While a combination of metabolomics and proteomics is more commonly used, multiomics studies including peptidomcis characterization are less frequently undertaken. Here, we investigated three different extraction methods, chosen for their previous use in extracting metabolites, peptides, and proteins, and compared their ability to perform metabolomic, peptidomic, and proteomic analysis of mouse cecum content. The methanol/chloroform/water extraction performed the best for metabolomic and peptidomic analysis as it detected the largest number of small molecules and identified the largest number of peptides, but the acidified methanol extraction performed best for proteomics analysis as it had the highest number of protein identifications. The methanol/chloroform/water extraction was further analyzed by identifying metabolites with tandem mass spectrometry (MS/MS) analysis and by gene ontology analysis for the peptide and protein results to provide a multiomics analysis of the gut microbiota.

Indexed as

AnimalsCecumChloroformChromatography, High Pressure LiquidComplex MixturesGastrointestinal MicrobiomeMaleMetabolomicsMethanolMiceMice, Inbred C57BLMicrobiotaPeptidesProteomicsTandem Mass SpectrometryWaterChloroformComplex MixturesMethanolPeptidesWatermetabolomicsmicrobiomemultiomicspeptidomicsproteomics

Identifiers

PMID32885503
PMCPMC7855350

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.