Evidence map›Paper›PMID 30255296›Full record

ReviewCurrent genetics2019

Yeast genetic interaction screens in the age of CRISPR/Cas.

Neil R Adames, Jenna E Gallegos, Jean Peccoud

Open access · hybridAbstract readReview
In one paragraph

Review in Current genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% of its field
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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. EditingBiomolecules · 2026
    Review
  3. Article
  4. Article
  5. Simplicity within biological complexity.Bioinformatics advances · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Next Generation Winemakers: Genetic Engineering inBioengineering (Basel, Switzerland) · 2020
    Review
  15. Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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

3 authors at 1 institution in 1 country.

Neil R AdamesDepartment of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO, 80523, USA.ORCID http://orcid.org/0000-0003-4331-9348
Jenna E GallegosDepartment of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO, 80523, USA.ORCID http://orcid.org/0000-0003-4875-8163
Jean PeccoudDepartment of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO, 80523, USA. jean.peccoud@colostate.edu.ORCID http://orcid.org/0000-0001-7649-6127
Colorado State University · US

Funding

Stochastic Models of Cell Cycle Regulation in EukaryotesR01GM078989 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI PECCOUD, JEAN M, TYSON, JOHN J. · 2006 to 2018
$5.3M
Directorate for Biological Sciences 1759900Directorate for Engineering 1832320National Institute of General Medical Sciences R01GM078989NIGMS NIH HHS R01 GM078989
6 · The paper itself

Abstract

The ease of performing both forward and reverse genetics in Saccharomyces cerevisiae, along with its stable haploid state and short generation times, has made this budding yeast the consummate model eukaryote for genetics. The major advantage of using budding yeast for reverse genetics is this organism's highly efficient homology-directed repair, allowing for precise genome editing simply by introducing DNA with homology to the chromosomal target. Although plasmid- and PCR-based genome editing tools are quite efficient, they depend on rare spontaneous DNA breaks near the target sequence. Consequently, they can generate only one genomic edit at a time, and the edit must be associated with a selectable marker. However, CRISPR/Cas technology is efficient enough to permit markerless and multiplexed edits in a single step. These features have made CRISPR/Cas popular for yeast strain engineering in synthetic biology and metabolic engineering applications, but it has not been widely employed for genetic screens. In this review, we critically examine different methods to generate multi-mutant strains in systematic genetic interaction screens and discuss the potential of CRISPR/Cas to supplement or improve on these methods.

Indexed as

CRISPR-Cas SystemsGenome, FungalDiploidyGene EditingGene LibraryGenetic EngineeringGenetic TestingGenomicsMutationSaccharomyces cerevisiaeSynthetic Lethal MutationsYeastsCRISPR/Cas9dSLAMFunctional genomicsGenetic interaction screensGreen MonsterSaccharomyces cerevisiaeSynthetic genetic array

Identifiers

PMID30255296
PMCPMC6420903
OpenAlexW2892631154

What OpenQuestion holds

Textmetadata
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.