Evidence map›Paper›PMID 29695626›Full record

ArticlemSphere2018

Rapid Gene Concatenation for Genetic Rescue of Multigene Mutants in

Manning Y Huang, Carol A Woolford, Aaron P Mitchell

Abstract read
In one paragraph

Article in mSphere, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. bioRxiv : the preprint server for biology · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. 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.

Manning Y HuangDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-6045-9698
Carol A WoolfordDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Aaron P MitchellDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA apm1@cmu.edu.ORCID https://orcid.org/0000-0002-0868-4000

Funding

GENETIC MANIPULATION OF DIVERSE CANDIDA ALBICANS ISOLATESR21AI135178 · NIAID · CARNEGIE-MELLON UNIVERSITY · PI MITCHELL, AARON P · 2018 to 2019
$418k
NIAID NIH HHS R21 AI135178
6 · The paper itself

Abstract

The biological function of a gene is often probed through its interactions with other genes. This general approach has been especially useful to build knowledge about poorly understood genes upon the bedrock of well-characterized genes. Genetic interaction analysis requires the construction of strains with mutations in two or more genes. Single-gene mutants of microbial pathogens are generally validated through introduction of a wild-type copy of the affected gene to create a complemented or reconstituted strain, followed by testing for restoration of a wild-type phenotype. This practice, formalized as one of Falkow's "molecular Koch's postulates" ensures that the phenotype of the mutant depends upon the known mutation. However, multigene mutants are seldom validated because of the labor required to assemble multiple genomic segments into a vector that can be introduced into the mutant strain. We present here an approach, concatemer assembly for rescue of mutant abilities (CARMA), that circumvents this impediment through an

Indexed as

DNA, ConcatenatedMutationCandida albicansClustered Regularly Interspaced Short Palindromic RepeatsFungal ProteinsGene DeletionGenes, FungalGenetic EngineeringPhenotypeDNA, ConcatenatedFungal ProteinsCandida albicansCRISPRgenetics

Identifiers

PMID29695626
PMCPMC5917427

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.