Evidence map›Paper›PMID 25257345›Full record

ArticleMolecular bioSystems2014

Confirmation of the cellular targets of benomyl and rapamycin using next-generation sequencing of resistant mutants in S. cerevisiae.

Dustin A Wride, Nader Pourmand, Walter M Bray, Jacob J Kosarchuk, Sean C Nisam, Tiffani K Quan, Ray F Berkeley, Sol Katzman, Grant A Hartzog, Carlos E Dobkin and 1 more

Open access · greenAbstract read
In one paragraph

Article in Molecular bioSystems, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Protein structure shapes natural genetic variation andbioRxiv : the preprint server for biology · 2025
    Article
  2. Article
  3. Experimental evolution ofbioRxiv : the preprint server for biology · 2024
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Computer-Aided Drug Discovery in Plant Pathology.The plant pathology journal · 2017
    Review
  11. Genomic sequencing-based mutational enrichment analysis identifies motility genes in a genetically intractable gut microbe.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  12. Article
  13. 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

11 authors at 4 institutions in 1 country.

Dustin A WrideDepartment of Chemistry and Biochemistry, University of California, Santa Cruz, USA. slokey@ucsc.edu.
Nader Pourmand
Walter M Bray
Jacob J Kosarchuk
Sean C Nisam
Tiffani K Quan
Ray F Berkeley
Sol Katzman
Grant A Hartzog
Carlos E Dobkin
R Scott Lokey
University of California, Santa Cruz · USSanta Cruz County Office of Education · USUniversity of California System · USScreen · US

Funding

Training Program/Molecular/Cell/Developmental BiologyT32GM008646 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI STROME, SUSAN · 1999 to 2018
$3.7M
NIGMS NIH HHS T32 GM008646
6 · The paper itself

Abstract

Investigating the mechanisms of action (MOAs) of bioactive compounds and the deconvolution of their cellular targets is an important and challenging undertaking. Drug resistance in model organisms such as S. cerevisiae has long been a means for discovering drug targets and MOAs. Strains are selected for resistance to a drug of interest, and the resistance mutations can often be mapped to the drug's molecular target using classical genetic techniques. Here we demonstrate the use of next generation sequencing (NGS) to identify mutations that confer resistance to two well-characterized drugs, benomyl and rapamycin. Applying NGS to pools of drug-resistant mutants, we develop a simple system for ranking single nucleotide polymorphisms (SNPs) based on their prevalence in the pool, and for ranking genes based on the number of SNPs that they contain. We clearly identified the known targets of benomyl (TUB2) and rapamycin (FPR1) as the highest-ranking genes under this system. The highest-ranking SNPs corresponded to specific amino acid changes that are known to confer resistance to these drugs. We also found that by screening in a pdr1Δ null background strain that lacks a transcription factor regulating the expression of drug efflux pumps, and by pre-screening mutants in a panel of unrelated anti-fungal agents, we were able to mitigate against the selection of multi-drug resistance (MDR) mutants. We call our approach "Mutagenesis to Uncover Targets by deep Sequencing", or "MUTseq", and show through this proof-of-concept study its potential utility in characterizing MOAs and targets of novel compounds.

Indexed as

BenomylDNA-Binding ProteinsDNA, FungalDrug Resistance, Multiple, FungalGene DeletionHigh-Throughput Nucleotide SequencingPolymorphism, Single NucleotideSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSequence Analysis, DNASirolimusTranscription FactorsBenomylDNA-Binding ProteinsDNA, FungalPDR1 protein, S cerevisiaeSaccharomyces cerevisiae ProteinsSirolimusTranscription FactorsTub2 protein, S cerevisiae

Identifiers

PMID25257345
PMCPMC4653042
OpenAlexW2122187328

What OpenQuestion holds

Textmetadata
LicenceTDM
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.