Evidence map›Paper›PMID 30613903›Full record

ArticleJournal of biomolecular NMR2019

Increasing the buffering capacity of minimal media leads to higher protein yield.

Stephan B Azatian, Navneet Kaur, Michael P Latham

Abstract read
In one paragraph

Article in Journal of biomolecular NMR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Solution-state nuclear magnetic resonance studies of theBiochemistry and biophysics reports · 2026
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  7. Biomolecular NMR assignments · 2025
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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.

Stephan B AzatianDepartment of Chemistry and Biochemistry, Texas Tech University, 1204 Boston Ave., Lubbock, TX, 79423-1061, USA.
Navneet KaurDepartment of Chemistry and Biochemistry, Texas Tech University, 1204 Boston Ave., Lubbock, TX, 79423-1061, USA.
Michael P LathamDepartment of Chemistry and Biochemistry, Texas Tech University, 1204 Boston Ave., Lubbock, TX, 79423-1061, USA. michael.latham@ttu.edu.ORCID http://orcid.org/0000-0002-2209-5798

Funding

Structural Biology Studies of a Large DNA Repair ComplexR35GM128906 · NIGMS · UNIVERSITY OF MINNESOTA · PI Michael Parker Latham · 2018 to 2026
$3.1M
NIGMS NIH HHS R35 GM128906Welch Foundation (US) D-1798
6 · The paper itself

Abstract

We describe a general and simple modification to the standard M9 minimal medium recipe that leads to an approximate twofold increase in the yield of heterologously expressed proteins in Escherichia coli BL21(DE3) bacteria. We monitored the growth of bacteria transformed with plasmids for three different test proteins in five minimal media with different concentrations of buffering salts and/or initial media pH. After purification of the over-expressed proteins, we found a clear correlation between the protein yield and change in media pH over time, where the minimal media that were the most buffered and therefore most resistant to change in pH produced the most protein. And in all three test protein cases, the difference in yield was nearly twofold between the best and worst buffering media. Thus, we propose that increasing the buffering capacity of M9 minimal media will generally lead to a similar increase for most of the proteins currently produced by this standard protein expression protocol. Moreover, we have qualitatively found that this effect also extends to deuterated M9 minimal media growths, which could lead to significant cost savings in these preparations.

Indexed as

Bacterial ProteinsBuffersCulture MediaDeuteriumEscherichia coliHydrogen-Ion ConcentrationPlasmidsTransformation, BacterialBacterial ProteinsBuffersCulture MediaDeuteriumBuffer capacityCell growthModified M9 mediaProtein expression

Identifiers

PMID30613903
PMCPMC6441617

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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.