Evidence map›Paper›PMID 41196558›Full record

ArticleApplied biochemistry and biotechnology2026

Effect of Thioredoxin Tag, Oxidizing Environment, and Temperature on the Global Metabolome of E. Coli Strains.

Snehal D Ganjave, Meghna Srivastava, Prajval Nakrani, Vivek Mishra, Pramod P Wangikar

Abstract read
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Article in Applied biochemistry and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Structure-guided optimization of SLY1 expression and purification in Escherichia coli.Protein science : a publication of the Protein Society · 2026
    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

5 authors.

Snehal D Ganjave *Department of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai, India.
Meghna Srivastava *Department of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai, India.
Prajval NakraniClarity Bio Systems India Pvt. Ltd., Pune, India.
Vivek MishraClarity Bio Systems India Pvt. Ltd., Pune, India.
Pramod P WangikarDepartment of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai, India. wangikar@iitb.ac.in.ORCID http://orcid.org/0000-0003-0108-7585

Funding

Department of Biotechnology, Ministry of Science and Technology, India BT/PR41982/PBD/26/822/2021
6 · The paper itself

Abstract

Achieving soluble expression of disulfide bond-containing recombinant proteins in Escherichia coli is challenging. While strategies such as low post-induction temperature, fusion tags, and engineered strains have been employed to achieve soluble protein expression, their specific effects on E. coli metabolism and, crucially, how these metabolic shifts relate to the challenge of achieving soluble protein expression remain unclear. Here, we performed untargeted metabolomics to study the key metabolic changes associated with co-expression of fusion tags in E. coli strains at low and high cultivation temperatures. Using a mass spectrometry-based approach, we identified 121 differentially abundant metabolites. The metabolomes of BL21 (DE3) and SHuffle strains exhibited distinct intracellular pools of amino acids and redox regulators. We further studied the expression of platelet-derived growth factor (PDGF) as a model disulfide-rich protein that generally tends to aggregate when expressed in E. coli. A lower induction temperature and the addition of a thioredoxin tag were observed to be crucial for enhancing soluble expression of PDGF in both strains. However, SHuffle showed heightened metabolic stress during PDGF production compared to BL21. Soluble PDGF expression was associated with higher levels of peptides, nucleotides, and glycolysis and TCA cycle intermediates, while PDGF expression as inclusion bodies was associated with higher levels of amino acids, nucleobases, and pentose phosphate pathway intermediates. Our findings highlight the potential of LCMS-based metabolic profiling in understanding the capacities of different host strains for protein processing and guiding metabolic engineering for improved recombinant protein folding and expression in E. coli.

Indexed as

Escherichia coliMetabolomeTemperatureThioredoxinsMetabolomicsOxidation-ReductionPlatelet-Derived Growth FactorPlatelet-Derived Growth FactorThioredoxinsE. coli BL21 (DE3)LCMSPDGFSHuffleThioredoxin tagUntargeted metabolomics

Identifiers

What OpenQuestion holds

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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.