Evidence map›Paper›PMID 33786460›Full record

ArticleSTAR protocols2021

Protocol for intervention-free quantification of protein turnover rate by steady-state modeling.

Stefania Marcotti, Besaiz Jose Sánchez-Sánchez, Eduardo Serna-Morales, Anca Dragu, María-Del-Carmen Díaz-de-la-Loza, Yutaka Matsubayashi, Brian Marc Stramer

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in STAR protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Stefania MarcottiRandall Centre for Cell and Molecular Biophysics, King's College London, London SE1 1UL, UK.
Besaiz Jose Sánchez-SánchezRandall Centre for Cell and Molecular Biophysics, King's College London, London SE1 1UL, UK.
Eduardo Serna-MoralesRandall Centre for Cell and Molecular Biophysics, King's College London, London SE1 1UL, UK.
Anca DraguRandall Centre for Cell and Molecular Biophysics, King's College London, London SE1 1UL, UK.
María-Del-Carmen Díaz-de-la-LozaRandall Centre for Cell and Molecular Biophysics, King's College London, London SE1 1UL, UK.
Yutaka MatsubayashiRandall Centre for Cell and Molecular Biophysics, King's College London, London SE1 1UL, UK.
Brian Marc StramerRandall Centre for Cell and Molecular Biophysics, King's College London, London SE1 1UL, UK.

Funding

Wellcome TrustWellcome Trust 107859/Z/15/Z
6 · The paper itself

Abstract

Protein turnover rate is difficult to obtain experimentally. This protocol shows how to mathematically model turnover rates in an intervention-free manner given the ability to quantify mRNA and protein expression from initiation to homeostasis. This approach can be used to calculate production and degradation rates and to infer protein half-life. This model was successfully employed to quantify turnover during

Indexed as

ProteolysisAnimalsComputational BiologyDrosophilaGene ExpressionHomeostasisKineticsModels, TheoreticalProteinsRNA, MessengerProteinsRNA, MessengerBioinformaticsCell biologyModel organismsMolecular biologyProtein biochemistry

Identifiers

PMID33786460
PMCPMC7988239

What OpenQuestion holds

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LicenceCC BY
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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.