Evidence map›Paper›PMID 34046294›Full record

ArticleCurrent Metabolomics2016

Optimization of Metabolite Extraction Protocols for the Identification and Profiling of Small Molecule Metabolites from Planktonic and Biofilm

Amanda Fuchs, Brian P Tripet, Mary Cloud B Ammons, Valérie Copié

Open access · greenAbstract read
In one paragraph

Article in Current Metabolomics, 2016. 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, top 84% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. NMR-Based Stable Isotope Tracing of Cancer Metabolism.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Cadaverine Is a Switch in the Lysine Degradation Pathway inFrontiers in cellular and infection microbiology · 2022
    Article
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

4 authors at 1 institution in 1 country.

Amanda FuchsDepartment of Chemistry and Biochemistry, Montana State University, Bozeman, 59717, Montana, USA.
Brian P TripetDepartment of Chemistry and Biochemistry, Montana State University, Bozeman, 59717, Montana, USA.
Mary Cloud B AmmonsDepartment of Chemistry and Biochemistry, Montana State University, Bozeman, 59717, Montana, USA.
Valérie CopiéDepartment of Chemistry and Biochemistry, Montana State University, Bozeman, 59717, Montana, USA.
Montana State University · US

Funding

Acquisition of a 600 MHz NMR cryoprobe and 600 MHz spectrometer console upgradeS10RR026659 · NCRR · MONTANA STATE UNIVERSITY - BOZEMAN · PI COPIE, VALERIE · 2011 to 2011
$600k
Metabolomic Analysis as a Tool to Understanding the Use of Novel Therapeutics in a Host-Pathogen Model of the Chronic Wound EnvironmentK01GM103821 · NIGMS · MONTANA STATE UNIVERSITY - BOZEMAN · PI AMMONS, MARY CLOUD BOSWORTH · 2012 to 2016
$490k
NCRR NIH HHS S10 RR026659NIGMS NIH HHS K01 GM103821
6 · The paper itself

Abstract

backgroundMetabolomics aims to characterize the metabolic phenotype and metabolic pathways utilized by microorganisms or other cellular systems. A crucial component to metabolomics research as it applies to microbial metabolism is the development of robust and reproducible methods for extraction of intracellular metabolites. The goal is to extract all metabolites in a non-biased and consistent manner; however, most methods used thus far are targeted to specific metabolite classes and use harsh conditions that may contribute to metabolite degradation. Metabolite extraction methodologies need to be optimized for each microorganism of interest due to different cellular characteristics contributing to lysis resistance.

methodsThree cell pellet wash solutions were compared for the potential to influence intracellular metabolite leakage of

resultsIntracellular metabolite extraction efficiency was found to be dependent on the extraction method and varies between microbial modes of growth. Methods using the 60% methanol wash produced the greatest amount of intracellular material leakage. Quantification of intracellular metabolites via

conclusionWe determined that washing in 1X PBS and extracting intracellular metabolites with 50% methanol is the most appropriate metabolite extraction protocol because (a) leakage is minimal; (b) a broad range of metabolites present at sufficiently high concentrations is detectable by NMR; and (c) this method proved suitable for metabolite extraction of both planktonic and biofilm

Indexed as

1H NMRBiofilmmetabolite extractionP. aeruginosaplanktonic cell culturesuntargeted metabolomics

Identifiers

PMID34046294
PMCPMC8152816
OpenAlexW2501621370

What OpenQuestion holds

Textmetadata
LicenceTDM
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.