Evidence map›Paper›PMID 20573715›Full record

ReviewCold Spring Harbor perspectives in biology2010

Membrane-associated DNA transport machines.

Briana Burton, David Dubnau

Open access · bronzeAbstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed, 120 citations in OpenAlex.

  1. Article
  2. Autolysis ofJournal of microbiology and biotechnology · 2024
    Article
  3. Review
  4. Article
  5. Frontiers in microbiology · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Membranes as the third genetic code.Molecular biology reports · 2020
    Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

2 authors at 2 institutions in 1 country.

Briana BurtonDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts, USA.
David Dubnau
Harvard University · USRutgers New Jersey Medical School

Funding

Understanding the mechanism of genetic transformationR01GM057720 · NIGMS · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI DAVID A DUBNAU, Matthew B Neiditch · 1998 to 2026
$15.4M
GENETIC COMPETENCE APPARATUS OF BACILLUS SUBTILLISR01GM043756 · NIGMS · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI DUBNAU, DAVID A · 1991 to 2016
$7.2M
NIGMS NIH HHS GM05772NIGMS NIH HHS GM057720NIGMS NIH HHS R01 GM043756NIGMS NIH HHS R01 GM057720
6 · The paper itself

Abstract

DNA pumps play important roles in bacteria during cell division and during the transfer of genetic material by conjugation and transformation. The FtsK/SpoIIIE proteins carry out the translocation of double-stranded DNA to ensure complete chromosome segregation during cell division. In contrast, the complex molecular machines that mediate conjugation and genetic transformation drive the transport of single stranded DNA. The transformation machine also processes this internalized DNA and mediates its recombination with the resident chromosome during and after uptake, whereas the conjugation apparatus processes DNA before transfer. This article reviews these three types of DNA pumps, with attention to what is understood of their molecular mechanisms, their energetics and their cellular localizations.

Indexed as

Bacterial ProteinsBiological TransportCell MembraneConjugation, GeneticDNA, BacterialBacterial ProteinsDNA, Bacterial

Identifiers

PMID20573715
PMCPMC2890206
OpenAlexW2149898726

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.