Evidence map›Paper›PMID 34590268›Full record

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

Quantitative Genetic Screens for Mapping Bacterial Pathways and Functional Networks.

Alla Gagarinova, Ali Hosseinnia, Mohan Babu

Abstract read
PubMed Publisher
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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 82% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

Alla GagarinovaDepartment of Biochemistry, Microbiology and Immunology, University of Saskatchewan, Saskatoon, SK, Canada. alla.gagarinova@mail.utoronto.ca.
Ali HosseinniaDepartment of Biochemistry, University of Regina, Regina, SK, Canada.
Mohan BabuDepartment of Biochemistry, University of Regina, Regina, SK, Canada. mohan.babu@uregina.ca.
University of Regina · CAUniversity of Saskatchewan · CA

Funding

CIHR
6 · The paper itself

Abstract

Escherichia coli synthetic genetic array (eSGA) screening procedure enables high-throughput systematic mapping of pairwise genetic interactions in E. coli. The eSGA method exploits E. coli's rapid growth, its ease of genetic manipulation, and efficient genetic exchange via conjugation. Replica pinning is used to grow and mate arrayed sets of single gene mutant strains as well as to select double mutants en masse. Strain fitness, which is the eSGA readout, is determined by the digital imaging of the plates and subsequent colony size measurements. Comparing single and double mutant colony sizes then allows for identifying interacting genes. Using eSGA on a global or a smaller process-centric scale can help reveal gene functions and reconstruct genetic interaction networks with known and novel connections between genes and pathways.

Indexed as

Genetic TestingEpistasis, GeneticEscherichia coliGene Regulatory NetworksGenetic TechniquesAggravatingAlleviatingConjugationDouble mutantEpistasisEscherichia coliEscherichia coli synthetic genetic arraysGenetic interactionHypomorphsNetworkSuppressionSynthetic lethality or sickness

Identifiers

PMID34590268
OpenAlexW3202982215

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.