Evidence map›Paper›PMID 23390603›Full record

ArticleG3 (Bethesda, Md.)2013

Saccharomyces cerevisiae genetics predicts candidate therapeutic genetic interactions at the mammalian replication fork.

Derek M van Pel, Peter C Stirling, Sean W Minaker, Payal Sipahimalani, Philip Hieter

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

24 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Targeting epigenetics using synthetic lethality in precision medicine.Cellular and molecular life sciences : CMLS · 2018
    Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  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

5 authors at 1 institution in 1 country.

Derek M van PelMichael Smith Laboratories, University of British Columbia, Vancouver, British Columbia, Canada.
Peter C Stirling
Sean W Minaker
Payal Sipahimalani
Philip Hieter
University of British Columbia · CA

Funding

Functional Determinants of Chromosome SegregationR01CA158162 · NCI · UNIVERSITY OF BRITISH COLUMBIA · PI HIETER, PHILIP A. · 2012 to 2016
$1.1M
CIHRNCI NIH HHS R01 CA158162
6 · The paper itself

Abstract

The concept of synthetic lethality has gained popularity as a rational guide for predicting chemotherapeutic targets based on negative genetic interactions between tumor-specific somatic mutations and a second-site target gene. One hallmark of most cancers that can be exploited by chemotherapies is chromosome instability (CIN). Because chromosome replication, maintenance, and segregation represent conserved and cell-essential processes, they can be modeled effectively in simpler eukaryotes such as Saccharomyces cerevisiae. Here we analyze and extend genetic networks of CIN cancer gene orthologs in yeast, focusing on essential genes. This identifies hub genes and processes that are candidate targets for synthetic lethal killing of cancer cells with defined somatic mutations. One hub process in these networks is DNA replication. A nonessential, fork-associated scaffold, CTF4, is among the most highly connected genes. As Ctf4 lacks enzymatic activity, potentially limiting its development as a therapeutic target, we exploited its function as a physical interaction hub to rationally predict synthetic lethal interactions between essential Ctf4-binding proteins and CIN cancer gene orthologs. We then validated a subset of predicted genetic interactions in a human colorectal cancer cell line, showing that siRNA-mediated knockdown of MRE11A sensitizes cells to depletion of various replication fork-associated proteins. Overall, this work describes methods to identify, predict, and validate in cancer cells candidate therapeutic targets for tumors with known somatic mutations in CIN genes using data from yeast. We affirm not only replication stress but also the targeting of DNA replication fork proteins themselves as potential targets for anticancer therapeutic development.

Indexed as

Chromosomal InstabilityColorectal NeoplasmsDNA-Binding ProteinsDNA ReplicationGene Regulatory NetworksGenes, EssentialGenome, FungalHCT116 CellsHumansMRE11 Homologue ProteinMutagensMutationRNA InterferenceRNA, Small InterferingSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsCTF4 protein, S cerevisiaeDNA-Binding ProteinsMRE11 Homologue ProteinMRE11 protein, humanMutagensRNA, Small InterferingSaccharomyces cerevisiae Proteinscancer therapychromosome instabilityDNA replicationsynthetic lethalityyeast genomics

Identifiers

PMID23390603
PMCPMC3564987
OpenAlexW2111434929

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.