Evidence map›Paper›PMID 31727948›Full record

ArticleScientific reports2019

Optimization of culture conditions for the expression of three different insoluble proteins in Escherichia coli.

Matías Gutiérrez-González, Camila Farías, Samantha Tello, Diana Pérez-Etcheverry, Alfonso Romero, Roberto Zúñiga, Carolina H Ribeiro, Carmen Lorenzo-Ferreiro, María Carmen Molina

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

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  10. A review on computational models for predicting protein solubility.Journal of microbiology (Seoul, Korea) · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. SERS-based microdroplet platform for high-throughput screening ofFrontiers in bioengineering and biotechnology · 2024
    Article
  16. Article
  17. Article
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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

9 authors.

Matías Gutiérrez-GonzálezCentro de Inmunobiotecnología, Programa Disciplinario de Inmunología, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago, Chile.
Camila FaríasCentro de Inmunobiotecnología, Programa Disciplinario de Inmunología, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago, Chile.
Samantha TelloCentro de Inmunobiotecnología, Programa Disciplinario de Inmunología, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago, Chile.
Diana Pérez-EtcheverryÁrea de Biotecnología, Instituto Polo Tecnológico de Pando, Facultad de Química, Universidad de la República Oriental del Uruguay, Montevideo, Uruguay.
Alfonso RomeroCentro de Inmunobiotecnología, Programa Disciplinario de Inmunología, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago, Chile.
Roberto ZúñigaCentro de Inmunobiotecnología, Programa Disciplinario de Inmunología, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago, Chile.
Carolina H RibeiroCentro de Inmunobiotecnología, Programa Disciplinario de Inmunología, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago, Chile.
Carmen Lorenzo-FerreiroÁrea de Biotecnología, Instituto Polo Tecnológico de Pando, Facultad de Química, Universidad de la República Oriental del Uruguay, Montevideo, Uruguay.
María Carmen MolinaCentro de Inmunobiotecnología, Programa Disciplinario de Inmunología, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago, Chile. mcmolina@med.uchile.cl.

Funding

DENGUE FEVER AND OTHER INFECTIONS IN THE AIDS ERAF06TW002009 · FIC · UNIVERSITY OF WASHINGTON · PI FOY, HJORDIS M · 1994 to 1994
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6 · The paper itself

Abstract

Recombinant protein expression for structural and therapeutic applications requires the use of systems with high expression yields. Escherichia coli is considered the workhorse for this purpose, given its fast growth rate and feasible manipulation. However, bacterial inclusion body formation remains a challenge for further protein purification. We analyzed and optimized the expression conditions for three different proteins: an anti-MICA scFv, MICA, and p19 subunit of IL-23. We used a response surface methodology based on a three-level Box-Behnken design, which included three factors: post-induction temperature, post-induction time and IPTG concentration. Comparing this information with soluble protein data in a principal component analysis revealed that insoluble and soluble proteins have different optimal conditions for post-induction temperature, post-induction time, IPTG concentration and in amino acid sequence features. Finally, we optimized the refolding conditions of the least expressed protein, anti-MICA scFv, using a fast dilution protocol with different additives, obtaining soluble and active scFv for binding assays. These results allowed us to obtain higher yields of proteins expressed in inclusion bodies. Further studies using the system proposed in this study may lead to the identification of optimal environmental factors for a given protein sequence, favoring the acceleration of bioprocess development and structural studies.

Indexed as

Amino Acid SequenceCloning, MolecularEscherichia coliFactor Analysis, StatisticalGene ExpressionGenetic VectorsHistocompatibility Antigens Class IHumansInclusion BodiesInterleukin-23Isopropyl ThiogalactosidePrincipal Component AnalysisProtein RefoldingProtein SubunitsRecombinant ProteinsSingle-Chain AntibodiesHistocompatibility Antigens Class IInterleukin-23Isopropyl ThiogalactosideMHC class I-related chain AProtein SubunitsRecombinant ProteinsSingle-Chain Antibodies

Identifiers

PMID31727948
PMCPMC6856375

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.