Evidence map›Paper›PMID 29033457›Full record

ReviewNature reviews. Genetics2018

Emerging and evolving concepts in gene essentiality.

Giulia Rancati, Jason Moffat, Athanasios Typas, Norman Pavelka

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 162 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
162citing papers in PubMed, 1 pooled it
–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

162 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Dual-line Genome-scale CRISPR Screening Enables Robust Target Gene Discovery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  6. The power of many: when genetics met yeasts and high-throughput.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

102 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Giulia RancatiInstitute of Medical Biology, Agency of Science, Technology and Research (A*STAR), 8A Biomedical Grove, Immunos #05, Singapore 138648, Singapore.
Jason MoffatDonnelly Centre, University of Toronto, Toronto, Ontario M5S3E1, Canada.
Athanasios TypasEuropean Molecular Biology Laboratory (EMBL), Genome Biology, Meyerhofstrasse 1, 69117 Heidelberg, Germany.
Norman PavelkaSingapore Immunology Network (SIgN), A*STAR, 8A Biomedical Grove, Immunos #04, Singapore 138648, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene essentiality is a founding concept of genetics with important implications in both fundamental and applied research. Multiple screens have been performed over the years in bacteria, yeasts, animals and more recently in human cells to identify essential genes. A mounting body of evidence suggests that gene essentiality, rather than being a static and binary property, is both context dependent and evolvable in all kingdoms of life. This concept of a non-absolute nature of gene essentiality changes our fundamental understanding of essential biological processes and could directly affect future treatment strategies for cancer and infectious diseases.

Indexed as

Genes, EssentialAnimalsConserved SequenceDrug Delivery SystemsDrug ResistanceEvolution, MolecularGene EditingGene Regulatory NetworksGenomicsHigh-Throughput Nucleotide SequencingHumansMetabolic EngineeringModels, GeneticSynthetic Biology

Identifiers

PMID29033457

What OpenQuestion holds

Textmetadata
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.