Evidence map›Paper›PMID 34590269›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Mapping Synthetic Dosage Lethal Genetic Interactions in Saccharomyces cerevisiae.

Akil Hamza, Leanne Amitzi, Supipi Duffy, Philip Hieter

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 81% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Deep structure-function analysis of the endonuclease Mus81 with dominant mutational scanning.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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

4 authors at 2 institutions in 1 country.

Akil HamzaMichael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada.
Leanne AmitziMichael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada.
Supipi DuffyMichael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada.
Philip HieterMichael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada. hieter@msl.ubc.ca.
Canada's Michael Smith Genome Sciences Centre · CAUniversity of British Columbia · CA

Funding

CIHR FDN 148449CIHR MOP 38096
6 · The paper itself

Abstract

Synthetic dosage lethality (SDL) is a type of genetic interaction that occurs when increasing the expression of a gene causes a fitness defect, such as lethality, in a specific mutant background but has little effect on fitness in a wild-type background. SDL genetic interactions discovered in model organisms such as the budding yeast, Saccharomyces cerevisiae , represent candidate genetic interactions that may be conserved in human cells. In some cases, SDL genetic interactions can be applied to study the biological implications of genes overexpressed in cancer and to discover potential anticancer therapeutic drug targets. Here, we provide a protocol for screening a query overexpression gene against ordered arrays of yeast mutant strains to identify mutations that sensitize yeast to increased dosage of a specific gene product. We outline applications and procedures for screening with an inducibly overexpressed wild-type gene, a common feature of cancer cells, or with an inducibly overexpressed gene carrying a dominant-negative missense mutation as a model of protein-inhibitor interactions. This high-throughput screening platform is adapted from synthetic genetic array (SGA) technology and enables the generation of large-scale SDL genetic interaction networks that can be applied to study gene/pathway function and to identify cross-species cancer-relevant processes.

Indexed as

Genes, LethalSaccharomyces cerevisiaeHumansMutationPhenotypeSynthetic Lethal MutationsDominant synthetic lethalityGenetic interactionsInhibitor–protein interactionsOverexpressionSynthetic dosage lethalitySynthetic genetic arrayYeast

Identifiers

PMID34590269
OpenAlexW3204785510

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.