Evidence map›Paper›PMID 22389486›Full record

ArticleJournal of bacteriology2012

Identification and characterization of a putative arginine kinase homolog from Myxococcus xanthus required for fruiting body formation and cell differentiation.

Jonathan Bragg, Andrei Rajkovic, Chance Anderson, Rachael Curtis, Jason Van Houten, Brittany Begres, Colin Naples, Mark Snider, Dean Fraga, Mitchell Singer

Open access · bronzeAbstract read
In one paragraph

Article in Journal of bacteriology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Protein post-translational modifications in bacteria.Nature reviews. Microbiology · 2019
    Review
  5. Review
  6. 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

10 authors at 2 institutions in 1 country.

Jonathan BraggDepartment of Microbiology, The University of California, Davis, Davis, California, USA.
Andrei Rajkovic
Chance Anderson
Rachael Curtis
Jason Van Houten
Brittany Begres
Colin Naples
Mark Snider
Dean Fraga
Mitchell Singer
College of Wooster · USUniversity of California, Davis · US

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Arginine kinases catalyze the reversible transfer of a high-energy phosphoryl group from ATP to l-arginine to form phosphoarginine, which is used as an energy buffer in insects, crustaceans, and some unicellular organisms. It plays an analogous role to that of phosphocreatine in vertebrates. Recently, putative arginine kinases were identified in several bacterial species, including the social Gram-negative soil bacterium Myxococcus xanthus. It is still unclear what role these proteins play in bacteria and whether they have evolved to acquire novel functions in the species in which they are found. In this study, we biochemically purified and characterized a putative M. xanthus arginine kinase, Ark, and demonstrated that it has retained the ability to catalyze the phosphorylation of arginine by using ATP. We also constructed a null mutation in the ark gene and demonstrated its role in both certain stress responses and development.

Indexed as

Amino Acid SequenceArginine KinaseGene DeletionGene Expression Regulation, BacterialHydrogen-Ion ConcentrationHydrogen PeroxideMolecular Sequence DataMutationMyxococcus xanthusPhylogenyRecombinant ProteinsSodium ChlorideStress, PhysiologicalArginine KinaseHydrogen PeroxideRecombinant ProteinsSodium Chloride

Identifiers

PMID22389486
PMCPMC3347173
OpenAlexW2062637565

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.