Evidence map›Paper›PMID 24794799›Full record

ArticleJournal of biotechnology2014

Reduced quenching and extraction time for mammalian cells using filtration and syringe extraction.

Juan A Hernández Bort, Vinoth Shanmukam, Martin Pabst, Markus Windwarder, Laura Neumann, Ali Alchalabi, Guido Krebiehl, Gunda Koellensperger, Stephan Hann, Denise Sonntag and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of biotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

9 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Scientific reports · 2025
    Article
  6. Bacterial Metabolomics: Sample Preparation Methods.Biochemistry research international · 2022
    Review
  7. Review
  8. Article
  9. Review of recent developments in GC-MS approaches to metabolomics-based research.Metabolomics : Official journal of the Metabolomic Society · 2018
    Review
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

13 authors at 3 institutions in 1 country.

Juan A Hernández BortACIB GmbH, Austrian Centre of Industrial Biotechnology, Vienna, Austria.
Vinoth ShanmukamACIB GmbH, Austrian Centre of Industrial Biotechnology, Vienna, Austria; Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria.
Martin PabstDepartment of Chemistry, University of Natural Resources and Life Sciences, Vienna, Austria.
Markus WindwarderDepartment of Chemistry, University of Natural Resources and Life Sciences, Vienna, Austria.
Laura NeumannDepartment of Chemistry, University of Natural Resources and Life Sciences, Vienna, Austria.
Ali AlchalabiBiocrates Life Sciences, Innsbruck, Austria.
Guido KrebiehlBiocrates Life Sciences, Innsbruck, Austria.
Gunda KoellenspergerACIB GmbH, Austrian Centre of Industrial Biotechnology, Vienna, Austria; Department of Chemistry, University of Natural Resources and Life Sciences, Vienna, Austria.
Stephan HannACIB GmbH, Austrian Centre of Industrial Biotechnology, Vienna, Austria; Department of Chemistry, University of Natural Resources and Life Sciences, Vienna, Austria.
Denise SonntagBiocrates Life Sciences, Innsbruck, Austria.
Friedrich AltmannACIB GmbH, Austrian Centre of Industrial Biotechnology, Vienna, Austria; Department of Chemistry, University of Natural Resources and Life Sciences, Vienna, Austria.
Christine HeelSandoz GmbH, Tirol, Austria.
Nicole BorthACIB GmbH, Austrian Centre of Industrial Biotechnology, Vienna, Austria; Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria. Electronic address: nicole.borth@boku.ac.at.
Austrian Centre of Industrial Biotechnology (Austria) · ATBiocrates Life Sciences (Austria) · ATBOKU University · AT

Funding

Austrian Science Fund FWF W 1224
6 · The paper itself

Abstract

In order to preserve the in vivo metabolite levels of cells, a quenching protocol must be quickly executed to avoid degradation of labile metabolites either chemically or biologically. In the case of mammalian cell cultures cultivated in complex media, a wash step previous to quenching is necessary to avoid contamination of the cell pellet with extracellular metabolites, which could distort the real intracellular concentration of metabolites. This is typically achieved either by one or multiple centrifugation/wash steps which delay the time until quenching (even harsh centrifugation requires several minutes for processing until the cells are quenched) or filtration. In this article, we describe and evaluate a two-step optimized protocol based on fast filtration by use of a vacuum pump for quenching and subsequent extraction of intracellular metabolites from CHO (Chinese hamster ovary) suspension cells, which uses commercially available components. The method allows transfer of washed cells into liquid nitrogen within 10-15s of sampling and recovers the entire extraction solution volume. It also has the advantage to remove residual filter filaments in the final sample, thus preventing damage to separation columns during subsequent MS analysis. Relative to other methods currently used in the literature, the resulting energy charge of intracellular adenosine nucleotides was increased to 0.94 compared to 0.90 with cold PBS quenching or 0.82 with cold methanol/AMBIC quenching.

Indexed as

SyringesAnimalsArginineCHO CellsCricetinaeCricetulusFiltrationIntracellular SpaceMetabolomicsTryptophanArginineTryptophanCHO cellsFast filtrationMetabolite extractionMetabolomicsQuenching

Identifiers

PMID24794799
PMCPMC4071440
OpenAlexW2009531661

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.