Evidence map›Paper›PMID 35700271›Full record

ArticleAnalytical chemistry2022

Methods for Quantifying the Metabolic Boundary Fluxes of Cell Cultures in Large Cohorts by High-Resolution Hydrophilic Liquid Chromatography Mass Spectrometry.

Ryan A Groves, Maryam Mapar, Raied Aburashed, Luis F Ponce, Stephanie L Bishop, Thomas Rydzak, Marija Drikic, Dominique G Bihan, Hallgrimur Benediktsson, Fiona Clement and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Analytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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

16 citing papers in PubMed, 26 citations in OpenAlex.

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  12. Sample Preparation in Microbial Metabolomics: Advances and Challenges.Advances in experimental medicine and biology · 2023
    Article
  13. Review
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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

12 authors at 1 institution in 1 country.

Ryan A GrovesDepartment of Biological Sciences, University of Calgary, Calgary T2N 1N4, Canada.
Maryam MaparDepartment of Biological Sciences, University of Calgary, Calgary T2N 1N4, Canada.
Raied AburashedDepartment of Biological Sciences, University of Calgary, Calgary T2N 1N4, Canada.
Luis F PonceDepartment of Biological Sciences, University of Calgary, Calgary T2N 1N4, Canada.
Stephanie L BishopDepartment of Biological Sciences, University of Calgary, Calgary T2N 1N4, Canada.ORCID 0000-0002-8134-7297
Thomas RydzakDepartment of Biological Sciences, University of Calgary, Calgary T2N 1N4, Canada.
Marija DrikicDepartment of Biological Sciences, University of Calgary, Calgary T2N 1N4, Canada.
Dominique G BihanDepartment of Biological Sciences, University of Calgary, Calgary T2N 1N4, Canada.
Hallgrimur BenediktssonCumming School of Medicine, Department of Pathology and Laboratory Medicine, University of Calgary, Calgary T2N 1N4, Canada.
Fiona ClementCumming School of Medicine, Department of Community Health Sciences, University of Calgary, Calgary T2N 1N4, Canada.
Daniel B GregsonCumming School of Medicine, Department of Pathology and Laboratory Medicine, University of Calgary, Calgary T2N 1N4, Canada.
Ian A LewisDepartment of Biological Sciences, University of Calgary, Calgary T2N 1N4, Canada.ORCID 0000-0002-5753-499X
University of Calgary · CA

Funding

CIHR
6 · The paper itself

Abstract

Metabolomics is a mainstream approach for investigating the metabolic underpinnings of complex biological phenomena and is increasingly being applied to large-scale studies involving hundreds or thousands of samples. Although metabolomics methods are robust in smaller-scale studies, they can be challenging to apply to larger cohorts due to the inherent variability of liquid chromatography mass spectrometry (LC-MS). Much of this difficulty results from the time-dependent changes in the LC-MS system, which affects both the qualitative and quantitative performances of the instrument. Herein, we introduce an analytical strategy for addressing this problem in large-scale microbial studies. Our approach quantifies microbial boundary fluxes using two zwitterionic hydrophilic interaction liquid chromatography (ZIC-HILIC) columns that are plumbed to enable offline column equilibration. Using this strategy, we show that over 397 common metabolites can be resolved in 4.5 min per sample and that metabolites can be quantified with a median coefficient of variation of 0.127 across 1100 technical replicates. We illustrate the utility of this strategy via an analysis of 960 strains of

Indexed as

Cell Culture TechniquesMetabolomicsChromatography, LiquidHumansHydrophobic and Hydrophilic InteractionsMass Spectrometry

Identifiers

PMID35700271
PMCPMC9244871
OpenAlexW4282915396

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.