Evidence map›Paper›PMID 33083729›Full record

ArticleiScience2020

Cytosolic Crowding Drives the Dynamics of Both Genome and Cytosol in

Michal Wlodarski, Leonardo Mancini, Bianca Raciti, Bianca Sclavi, Marco Cosentino Lagomarsino, Pietro Cicuta

Abstract read
In one paragraph

Article in iScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

6 authors.

Michal WlodarskiBiological and Soft Systems, Cavendish Laboratory, University of Cambridge, Cambridge, UK.
Leonardo ManciniBiological and Soft Systems, Cavendish Laboratory, University of Cambridge, Cambridge, UK.
Bianca RacitiBiological and Soft Systems, Cavendish Laboratory, University of Cambridge, Cambridge, UK.
Bianca SclaviLaboratory of Biology and Applied Pharmacology (UMR 8113 CNRS), École Normale Supérieure, Paris-Saclay, France.
Marco Cosentino LagomarsinoLaboratory of Computational and Quantitative Biology (UMR 7238 CNRS), Sorbonne Université, Paris, France.
Pietro CicutaIFOM Foundation FIRC Institute of Molecular Oncology Foundation, Milan 20139, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In contrast to their molecular mode of action, the system-level effect of antibiotics on cells is only beginning to be quantified. Molecular crowding is expected to be a relevant global regulator, which we explore here through the dynamic response phenotypes in

Indexed as

Cell BiologyChromosome Organization

Identifiers

PMID33083729
PMCPMC7522891

What OpenQuestion holds

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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.