Evidence map›Paper›PMID 34985747›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Metabolomics Analysis of Cell-Free Expression Systems Using Gas Chromatography-Mass Spectrometry.

April M Miguez, Yan Zhang, Mark P Styczynski

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

April M MiguezSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Yan ZhangSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Mark P StyczynskiSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA. Mark.Styczynski@chbe.gatech.edu.

Funding

Modeling metabolic dynamics and regulation in biological systemsR35GM119701 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI STYCZYNSKI, MARK PHILIP-WALTER · 2016 to 2020
$1.6M
Synthetic biology-based detection of micronutrients with minimal equipmentR01EB022592 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI STYCZYNSKI, MARK PHILIP-WALTER · 2017 to 2020
$1.4M
NIBIB NIH HHS R01 EB022592NIGMS NIH HHS R35 GM119701
6 · The paper itself

Abstract

Metabolomics is the systems-scale study of the biochemical intermediates of metabolism. This approach has great potential to uncover how metabolic intermediates are used and generated in cell-free expression systems, something that is to date not well understood. Here, we present a detailed metabolomics protocol for characterization of the small molecules in cell-free systems. We specifically focus on the analysis of Escherichia coli lysate-based cell-free systems using gas chromatography coupled to mass spectrometry. Measuring and monitoring the metabolic changes in cell-free systems can provide insight into the ways that metabolites affect the productivity of cell-free reactions, ultimately allowing for more informed engineering and optimization efforts for cell-free systems.

Indexed as

Escherichia coliMetabolomicsCell-Free SystemGas Chromatography-Mass SpectrometryMass SpectrometryCell-free expression systemsEscherichia coliGas chromatography-mass spectrometryMetabolitesMetabolomics

Identifiers

PMID34985747
PMCPMC9814356

What OpenQuestion holds

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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.