Evidence map›Paper›PMID 34590281›Full record

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

Chemical-Genetic Interactions as a Means to Characterize Drug Synergy.

Hamid Gaikani, Guri Giaever, Corey Nislow

Abstract readReview
PubMed Publisher
In one paragraph

Review 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
2.1field-weighted citation impact, top 13% 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, 4 citations in OpenAlex.

  1. Article
  2. Inhibitors of eIF4G1-eIF1 uncover its regulatory role of ER/UPR stress-response genes independent of eIF2α-phosphorylation.Proceedings of the National Academy of Sciences of the United States of America · 2022
    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

3 authors at 1 institution in 1 country.

Hamid GaikaniPharmaceutical Sciences, The University of British Columbia, Vancouver, BC, Canada.
Guri GiaeverPharmaceutical Sciences, The University of British Columbia, Vancouver, BC, Canada.
Corey NislowPharmaceutical Sciences, The University of British Columbia, Vancouver, BC, Canada. corey.nislow@ubc.ca.
University of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The combination of model organisms and comprehensive genome-wide screens has provided a wealth of data into the structure and regulation of the genome, gene-environment interactions, and more recently, into the mechanism of action of human therapeutics. The success of these studies relies, in part, on the ability to quantify the combined effects of multifactorial biological interactions. In this review, we explore the history and rationale behind genetic and chemical-genetic interactions with an emphasis on the phenomena of drug synergy and then briefly describe the theoretical models that we can leverage to investigate the synergy between compounds. In addition to reviewing the literature, we also provide a reference list including many of the most important studies in this field. The concept of chemical genetics interactions derives from classical studies of synthetic lethality and functional genomics. These techniques have recently graduated from the research lab to the clinic, and a better understanding of the basic principles can help accelerate this translation.

Indexed as

GenomicsGene-Environment InteractionGenomeHumansPharmaceutical PreparationsSynthetic Lethal MutationsPharmaceutical PreparationsChemogenomicsDrug synergyGene–drug interactionsGene–gene interactionsModel organisms

Identifiers

PMID34590281
OpenAlexW3203248540

What Socratic 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 Socratic graph.