Evidence map›Paper›PMID 35710941›Full record

ArticleCommunications biology2022

DnaK response to expression of protein mutants is dependent on translation rate and stability.

Signe Christensen, Sebastian Rämisch, Ingemar André

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 31% of its field
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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Heterologous expression of naturally evolved putative de novo proteins with chaperones.Protein science : a publication of the Protein Society · 2022
    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

3 authors at 2 institutions in 2 countries.

Signe ChristensenDepartment of Biochemistry and Structural Biology, Lund University, Lund, Sweden. signechristensen89@gmail.com.ORCID 0000-0001-9556-1545
Sebastian RämischMax Planck Unit for the Science of Pathogens, Berlin, Germany.
Ingemar AndréDepartment of Biochemistry and Structural Biology, Lund University, Lund, Sweden. ingemar.andre@biochemistry.lu.se.ORCID 0000-0002-4753-8233
Lund University · SEMax Planck Unit for the Science of Pathogens · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chaperones play a central part in the quality control system in cells by clearing misfolded and aggregated proteins. The chaperone DnaK acts as a sensor for molecular stress by recognising short hydrophobic stretches of misfolded proteins. As the level of unfolded protein is a function of protein stability, we hypothesised that the level of DnaK response upon overexpression of recombinant proteins would be correlated to stability. Using a set of mutants of the λ-repressor with varying thermal stabilities and a fluorescent reporter system, the effect of stability on DnaK response and protein abundance was investigated. Our results demonstrate that the initial DnaK response is largely dependent on protein synthesis rate but as the recombinantly expressed protein accumulates and homeostasis is approached the response correlates strongly with stability. Furthermore, we observe a large degree of cell-cell variation in protein abundance and DnaK response in more stable proteins.

Indexed as

Escherichia coli ProteinsEscherichia coliHeat-Shock ProteinsHSP70 Heat-Shock ProteinsMolecular ChaperonesdnaK protein, E coliEscherichia coli ProteinsHeat-Shock ProteinsHSP70 Heat-Shock ProteinsMolecular Chaperones

Identifiers

PMID35710941
PMCPMC9203555
OpenAlexW4282962352

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.