Evidence map›Paper›PMID 41028459›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

ID-MS-Based Quantitative Analysis of Metabolites in Pichia pastoris: A Step-by-Step Protocol.

Marc Carnicer, S Aljoscha Wahl, Reza Maleki Seifar, Joan Albiol, Walter van Gulik, Pau Ferrer

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Marc CarnicerDepartment of Chemical Engineering, Autonomous University of Barcelona, Barcelona, Catalonia, Spain.
S Aljoscha WahlDepartment of Biotechnology, Delft University of Technology, Delft, The Netherlands.
Reza Maleki SeifarBioengineering Department, IQS, Universitat Ramon Llull, Barcelona, Catalonia, Spain.
Joan AlbiolDepartment of Chemical Engineering, Autonomous University of Barcelona, Barcelona, Catalonia, Spain.
Walter van GulikDepartment of Biotechnology, Delft University of Technology, Delft, The Netherlands.
Pau FerrerDepartment of Chemical Engineering, Autonomous University of Barcelona, Barcelona, Catalonia, Spain. pau.ferrer@uab.cat.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative metabolomics is based on a set of experimental approaches to accurately quantify intracellular metabolite concentrations. This allows us to characterize the response of a metabolic network (i.e., the metabolic phenotype) to an environmental or genetic perturbation. Here, we describe a four-step protocol adapted to the methylotrophic yeast Komagataella phaffii: (1) separation of the cells from the fermentation broth by cold filtration and addition of

Indexed as

MetabolomeMetabolomicsSaccharomycetalesTandem Mass SpectrometryCarbon IsotopesChromatography, LiquidFermentationGas Chromatography-Mass SpectrometryGlucoseMetabolic Networks and PathwaysCarbon IsotopesGlucose13C-labeled internal standardExtractionIntracellular metabolitesIsotope dilution mass spectrometryKomagataella phaffiiMetabolomicsMicrobial metabolismPichia pastorisQuenching

Identifiers

PMID41028459

What OpenQuestion holds

Textmetadata
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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.