Evidence map›Paper›PMID 33202746›Full record

ArticleAntibiotics (Basel, Switzerland)2020

λ Recombineering Used to Engineer the Genome of Phage T7.

Jordan D Jensen, Adam R Parks, Sankar Adhya, Alison J Rattray, Donald L Court

Open access · goldAbstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. T7 Phage as an Emerging Nanobiomaterial with Genetically Tunable Target Specificity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
  8. Article
  9. Engineered Bacteriophage Therapeutics: Rationale, Challenges and Future.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2021
    Review
  10. 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

5 authors at 2 institutions in 1 country.

Jordan D JensenRNA Biology Laboratory, Center for Cancer Research, The National Cancer Institute at Frederick, Frederick, MD 21702, USA.
Adam R ParksRNA Biology Laboratory, Center for Cancer Research, The National Cancer Institute at Frederick, Frederick, MD 21702, USA.
Sankar AdhyaLaboratory of Molecular Biology, Center for Cancer Research, The National Cancer Institute, Bethesda, MD 20814, USA.
Alison J RattrayRNA Biology Laboratory, Center for Cancer Research, The National Cancer Institute at Frederick, Frederick, MD 21702, USA.
Donald L CourtRNA Biology Laboratory, Center for Cancer Research, The National Cancer Institute at Frederick, Frederick, MD 21702, USA.
Center for Cancer Research · USFrederick National Laboratory for Cancer Research · US

Funding

NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

Bacteriophage T7 and T7-like bacteriophages are valuable genetic models for lytic phage biology that have heretofore been intractable with in vivo genetic engineering methods. This manuscript describes that the presence of λ Red recombination proteins makes in vivo recombineering of T7 possible, so that single base changes and whole gene replacements on the T7 genome can be made. Red recombination functions also increase the efficiency of T7 genome DNA transfection of cells by ~100-fold. Likewise, Red function enables two other T7-like bacteriophages that do not normally propagate in

Indexed as

bacteriophage engineeringbacteriophage geneticsphage therapyrecombineering

Identifiers

PMID33202746
PMCPMC7697293
OpenAlexW3102336090

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.