Evidence map›Paper›PMID 33106580›Full record

ArticleScientific reports2020

Optimization of T4 phage engineering via CRISPR/Cas9.

Michelle M Duong, Caitlin M Carmody, Qinqin Ma, Joseph E Peters, Sam R Nugen

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Scarless one-tube genome assemblyRSC chemical biology · 2026
    Article
  3. Article
  4. Rapid detection ofActa biochimica et biophysica Sinica · 2025
    Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Engineering ofCells · 2023
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

5 authors.

Michelle M DuongDepartment of Food Science and Technology, Cornell University, Ithaca, NY, 14853, USA.
Caitlin M CarmodyDepartment of Food Science and Technology, Cornell University, Ithaca, NY, 14853, USA.
Qinqin MaDepartment of Food Science and Technology, Cornell University, Ithaca, NY, 14853, USA.
Joseph E PetersDepartment of Microbiology, Cornell University, Ithaca, NY, 14853, USA.
Sam R NugenDepartment of Food Science and Technology, Cornell University, Ithaca, NY, 14853, USA. snugen@cornell.edu.

Funding

Accelerating phage evolution and tools via synthetic biology and machine learningR01EB027895 · NIBIB · CORNELL UNIVERSITY · PI NUGEN, SAM R · 2019 to 2024
$2.6M
Phage-Enabled Lab-on-a-Filter for Pathogen Separation, Concentration, and DetectionR21EB024623 · NIBIB · CORNELL UNIVERSITY · PI NUGEN, SAM R · 2018 to 2020
$616k
NIBIB NIH HHS R01 EB027895NIBIB NIH HHS R01EB027895NIBIB NIH HHS R21 EB024623NIBIB NIH HHS R21EB024623
6 · The paper itself

Abstract

A major limitation hindering the widespread use of synthetic phages in medical and industrial settings is the lack of an efficient phage-engineering platform. Classical T4 phage engineering and several newly proposed methods are often inefficient and time consuming and consequently, only able to produce an inconsistent range of genomic editing rates between 0.03-3%. Here, we review and present new understandings of the CRISPR/Cas9 assisted genome engineering technique that significantly improves the genomic editing rate of T4 phages. Our results indicate that crRNAs selection is a major rate limiting factor in T4 phage engineering via CRISPR/Cas9. We were able to achieve an editing rate of > 99% for multiple genes that functionalizes the phages for further applications. We envision that this improved phage-engineering platform will accelerate the fields of individualized phage therapy, biocontrol, and rapid diagnostics.

Indexed as

BacteriaBacteriophage T4CRISPR-Cas SystemsGene EditingGenetic EngineeringViral Plaque Assay

Identifiers

PMID33106580
PMCPMC7588440

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.