Evidence map›Paper›PMID 32694199›Full record

ArticleG3 (Bethesda, Md.)2020

Gene Transcription as a Limiting Factor in Protein Production and Cell Growth.

Eyal Metzl-Raz, Moshe Kafri, Gilad Yaakov, Naama Barkai

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. How total mRNA influences cell growth.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Scaling of biosynthesis and metabolism with cell size.Molecular biology of the cell · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. 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

4 authors.

Eyal Metzl-RazWeizmann Institute of Science, Molecular Genetics, Rehovot, Israel.ORCID 0000-0002-7111-2822
Moshe KafriWeizmann Institute of Science, Molecular Genetics, Rehovot, Israel.ORCID 0000-0002-9416-5513
Gilad YaakovWeizmann Institute of Science, Molecular Genetics, Rehovot, Israel.ORCID 0000-0002-9478-2298
Naama BarkaiWeizmann Institute of Science, Molecular Genetics, Rehovot, Israel naama.barkai@weizmann.ac.il.ORCID 0000-0002-2444-6061

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell growth is driven by the synthesis of proteins, genes, and other cellular components. Defining processes that limit biosynthesis rates is fundamental for understanding the determinants of cell physiology. Here, we analyze the consequences of engineering cells to express extremely high levels of mCherry proteins, as a tool to define limiting processes that fail to adapt upon increasing biosynthetic demands. Protein-burdened cells were transcriptionally and phenotypically similar to mutants of the Mediator, a transcription coactivator complex. However, our binding data suggest that the Mediator was not depleted from endogenous promoters. Burdened cells showed an overall increase in the abundance of the majority of endogenous transcripts, except for highly expressed genes. Our results, supported by mathematical modeling, suggest that wild-type cells transcribe highly expressed genes at the maximal possible rate, as defined by the transcription machinery's physical properties. We discuss the possible cellular benefit of maximal transcription rates to allow a coordinated optimization of cell size and cell growth.

Indexed as

Transcription FactorsTranscription, GeneticCell CycleCell ProliferationPromoter Regions, GeneticTranscription FactorsCell sizeGrowth RateMediatorProtein BurdenRNA polymeraseTranscriptionTranslationYeast

Identifiers

PMID32694199
PMCPMC7466996

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.