Evidence map›Paper›PMID 26447401›Full record

ReviewWiley interdisciplinary reviews. Developmental biology

Genome engineering: Drosophila melanogaster and beyond.

Koen J T Venken, Alejandro Sarrion-Perdigones, Paul J Vandeventer, Nicholas S Abel, Audrey E Christiansen, Kristi L Hoffman

Abstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. Developmental biology. 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
2.1field-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

24 citing papers in PubMed, 42 citations in OpenAlex.

  1. Review
  2. Neural mechanism of circadian clock-based photoperiodism in insects and snails.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2024
    Review
  3. Article
  4. Modeling ofKidney international reports · 2023
    Article
  5. Article
  6. Optimizing CRE and PhiC31 mediated recombination inFrontiers in bioengineering and biotechnology · 2023
    Article
  7. Insects · 2022
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. International journal of molecular sciences · 2021
    Review
  14. Precise genome engineering inProceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  15. Gene Knock-Ins inGenetics · 2020
    Article
  16. Article
  17. Parallel Genomic Engineering of TwoG3 (Bethesda, Md.) · 2018
    Article
  18. Article
  19. Recombination rate plasticity: revealing mechanisms by design.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Review
  20. Engineering the Drosophila Genome for Developmental Biology.Journal of developmental biology · 2017
    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

6 authors at 3 institutions in 1 country.

Koen J T VenkenDepartment of Biochemistry and Molecular Biology, Verna and Marrs McLean, Houston, TX, USA.
Alejandro Sarrion-PerdigonesDepartment of Biochemistry and Molecular Biology, Verna and Marrs McLean, Houston, TX, USA.
Paul J VandeventerDepartment of Biochemistry and Molecular Biology, Verna and Marrs McLean, Houston, TX, USA.
Nicholas S AbelDepartment of Pharmacology, Baylor College of Medicine, Houston, TX, USA.
Audrey E ChristiansenDepartment of Biochemistry and Molecular Biology, Verna and Marrs McLean, Houston, TX, USA.
Kristi L HoffmanDepartment of Biochemistry and Molecular Biology, Verna and Marrs McLean, Houston, TX, USA.
Mars (United States) · USBaylor College of Medicine · USChildren's Cancer Center · US

Funding

Serotonergic modulation of aggression in Drosophila melanogasterR01GM109938 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI DIERICK, HERMAN A · 2015 to 2019
$1.5M
The Drosophila Gene Tagging Project: Transgenes with Swappable Protein TagsR21HG006726 · NHGRI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI HOSKINS, ROGER ALLEN · 2012 to 2013
$486k
Using cell and fly models to understand gene function in undiagnosed diseasesR21GM110190 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI GRAHAM, BRETT HARRISON · 2014 to 2015
$470k
NHGRI NIH HHS 1R21HG006726NHGRI NIH HHS R21 HG006726NIGMS NIH HHS 1R21GM110190NIGMS NIH HHS R01 GM109938NIGMS NIH HHS R01GM109938NIGMS NIH HHS R21 GM110190
6 · The paper itself

Abstract

A central challenge in investigating biological phenomena is the development of techniques to modify genomic DNA with nucleotide precision that can be transmitted through the germ line. Recent years have brought a boon in these technologies, now collectively known as genome engineering. Defined genomic manipulations at the nucleotide level enable a variety of reverse engineering paradigms, providing new opportunities to interrogate diverse biological functions. These genetic modifications include controlled removal, insertion, and substitution of genetic fragments, both small and large. Small fragments up to a few kilobases (e.g., single nucleotide mutations, small deletions, or gene tagging at single or multiple gene loci) to large fragments up to megabase resolution can be manipulated at single loci to create deletions, duplications, inversions, or translocations of substantial sections of whole chromosome arms. A specialized substitution of chromosomal portions that presumably are functionally orthologous between different organisms through syntenic replacement, can provide proof of evolutionary conservation between regulatory sequences. Large transgenes containing endogenous or synthetic DNA can be integrated at defined genomic locations, permitting an alternative proof of evolutionary conservation, and sophisticated transgenes can be used to interrogate biological phenomena. Precision engineering can additionally be used to manipulate the genomes of organelles (e.g., mitochondria). Novel genome engineering paradigms are often accelerated in existing, easily genetically tractable model organisms, primarily because these paradigms can be integrated in a rigorous, existing technology foundation. The Drosophila melanogaster fly model is ideal for these types of studies. Due to its small genome size, having just four chromosomes, the vast amount of cutting-edge genetic technologies, and its short life-cycle and inexpensive maintenance requirements, the fly is exceptionally amenable to complex genetic analysis using advanced genome engineering. Thus, highly sophisticated methods developed in the fly model can be used in nearly any sequenced organism. Here, we summarize different ways to perform precise inheritable genome engineering using integrases, recombinases, and DNA nucleases in the D. melanogaster. For further resources related to this article, please visit the WIREs website.

Indexed as

Genome, InsectAnimalsDrosophila melanogasterGene TargetingGenetic Engineering

Identifiers

PMID26447401
PMCPMC4761275
OpenAlexW2176715227

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.