Evidence map›Paper›PMID 34183683›Full record

ArticleScientific data2021

High content genome-wide siRNA screen to investigate the coordination of cell size and RNA production.

Micha Müller, Merve Avar, Daniel Heinzer, Marc Emmenegger, Adriano Aguzzi, Lucas Pelkmans, Scott Berry

Erratum issuedAbstract readDataset
In one paragraph

Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
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  4. Review
  5. Article
  6. Review
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  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Micha MüllerDepartment of Molecular Life Sciences, University of Zurich, Zürich, Switzerland.ORCID http://orcid.org/0000-0002-1651-153X
Merve AvarInstitute of Neuropathology, University of Zurich, Zurich, Switzerland.
Daniel HeinzerInstitute of Neuropathology, University of Zurich, Zurich, Switzerland.
Marc EmmeneggerInstitute of Neuropathology, University of Zurich, Zurich, Switzerland.
Adriano AguzziInstitute of Neuropathology, University of Zurich, Zurich, Switzerland.
Lucas PelkmansDepartment of Molecular Life Sciences, University of Zurich, Zürich, Switzerland. lucas.pelkmans@mls.uzh.ch.
Scott BerryDepartment of Molecular Life Sciences, University of Zurich, Zürich, Switzerland. scott.berry@uzh.ch.ORCID http://orcid.org/0000-0002-1838-4976

Funding

European Molecular Biology Organization (EMBO) ALTF1175-2016Human Frontier Science Program (HFSP) LT000238/2017-L
6 · The paper itself

Abstract

Coordination of RNA abundance and production rate with cell size has been observed in diverse organisms and cell populations. However, how cells achieve such 'scaling' of transcription with size is unknown. Here we describe a genome-wide siRNA screen to identify regulators of global RNA production rates in HeLa cells. We quantify the single-cell RNA production rate using metabolic pulse-labelling of RNA and subsequent high-content imaging. Our quantitative, single-cell measurements of DNA, nascent RNA, proliferating cell nuclear antigen (PCNA), and total protein, as well as cell morphology and population-context, capture a detailed cellular phenotype. This allows us to account for changes in cell size and cell-cycle distribution (G1/S/G2) in perturbation conditions, which indirectly affect global RNA production. We also take advantage of the subcellular information to distinguish between nascent RNA localised in the nucleolus and nucleoplasm, to approximate ribosomal and non-ribosomal RNA contributions to perturbation phenotypes. Perturbations uncovered through this screen provide a resource for exploring the mechanisms of regulation of global RNA metabolism and its coordination with cellular states.

Indexed as

Cell SizeCell CycleCell NucleolusGenome-Wide Association StudyHeLa CellsHumansProliferating Cell Nuclear AntigenRNARNA, Small InterferingSingle-Cell AnalysisPCNA protein, humanProliferating Cell Nuclear AntigenRNARNA, Small Interfering

Identifiers

PMID34183683
PMCPMC8239010

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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.