Evidence map›Paper›PMID 34096681›Full record

ArticleMolecular systems biology2021

A genome-scale yeast library with inducible expression of individual genes.

Yuko Arita, Griffin Kim, Zhijian Li, Helena Friesen, Gina Turco, Rebecca Y Wang, Dale Climie, Matej Usaj, Manuel Hotz, Emily H Stoops and 5 more

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
4.5field-weighted citation impact, top 4% 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

44 citing papers in PubMed, 72 citations in OpenAlex.

  1. Article
  2. The power of many: when genetics met yeasts and high-throughput.Biological reviews of the Cambridge Philosophical Society · 2026
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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

15 authors at 2 institutions in 3 countries.

Yuko Arita *Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, Canada.
Griffin Kim *Calico Life Sciences LLC, South San Francisco, CA, USA.
Zhijian Li *Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, Canada.
Helena FriesenTerrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, Canada.
Gina TurcoCalico Life Sciences LLC, South San Francisco, CA, USA.
Rebecca Y WangCalico Life Sciences LLC, South San Francisco, CA, USA.
Dale ClimieTerrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, Canada.
Matej UsajTerrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, Canada.
Manuel HotzCalico Life Sciences LLC, South San Francisco, CA, USA.
Emily H StoopsCalico Life Sciences LLC, South San Francisco, CA, USA.
Anastasia BaryshnikovaCalico Life Sciences LLC, South San Francisco, CA, USA.
Charles BooneTerrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-3542-6760
David BotsteinCalico Life Sciences LLC, South San Francisco, CA, USA.ORCID 0000-0001-9499-4883
Brenda J AndrewsTerrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, Canada.ORCID 0000-0001-6427-6493
R Scott McIsaacCalico Life Sciences LLC, South San Francisco, CA, USA.ORCID 0000-0002-5339-6032
Enzo Life Sciences (United States) · USUniversity of Toronto · CA

Funding

Genetics of Functional Interactions in YeastR01GM046406 · NIGMS · STANFORD UNIVERSITY · PI BOTSTEIN, DAVID · 2001 to 2015
$9.5M
CIHR FDN-143264CIHR FDN-143265NIGMS NIH HHS R01 GM046406
6 · The paper itself

Abstract

The ability to switch a gene from off to on and monitor dynamic changes provides a powerful approach for probing gene function and elucidating causal regulatory relationships. Here, we developed and characterized YETI (Yeast Estradiol strains with Titratable Induction), a collection in which > 5,600 yeast genes are engineered for transcriptional inducibility with single-gene precision at their native loci and without plasmids. Each strain contains SGA screening markers and a unique barcode, enabling high-throughput genetics. We characterized YETI using growth phenotyping and BAR-seq screens, and we used a YETI allele to identify the regulon of Rof1, showing that it acts to repress transcription. We observed that strains with inducible essential genes that have low native expression can often grow without inducer. Analysis of data from eukaryotic and prokaryotic systems shows that native expression is a variable that can bias promoter-perturbing screens, including CRISPRi. We engineered a second expression system, Z

Indexed as

Genes, EssentialSaccharomyces cerevisiaeGene LibraryPlasmidsPromoter Regions, GeneticBAR-seqCRISPRigene overexpressionyeast genomicsyeast mutant array

Identifiers

PMID34096681
PMCPMC8182650
OpenAlexW3168292662

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.