Evidence map›Paper›PMID 22069620›Full record

ReviewToxins2010

Autoproteolytic activation of bacterial toxins.

Aimee Shen

Open access · goldAbstract readReview
In one paragraph

Review in Toxins, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Large Clostridial Toxins: Mechanisms and Roles in Disease.Microbiology and molecular biology reviews : MMBR · 2021
    Review
  5. Review
  6. A Unique Gene Module inFrontiers in microbiology · 2021
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Toward a structural understanding of Clostridium difficile toxins A and B.Frontiers in cellular and infection microbiology · 2012
    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

1 author at 1 institution in 1 country.

Aimee ShenDepartment of Pathology, Stanford School of Medicine, 300 Pasteur Drive, Stanford, California, USA. ashen2@stanford.edu
Stanford Medicine · US

Funding

Chemically Interrogating Clostridium difficile Glucosylating Toxin ActivationK99GM092934 · NIGMS · STANFORD UNIVERSITY · PI SHEN, AIMEE · 2010 to 2010
$82k
NIGMS NIH HHS K99 GM092934NIGMS NIH HHS K99 GM092934-01
6 · The paper itself

Abstract

Protease domains within toxins typically act as the primary effector domain within target cells. By contrast, the primary function of the cysteine protease domain (CPD) in Multifunctional Autoprocessing RTX-like (MARTX) and Clostridium sp. glucosylating toxin families is to proteolytically cleave the toxin and release its cognate effector domains. The CPD becomes activated upon binding to the eukaryotic-specific small molecule, inositol hexakisphosphate (InsP(6)), which is found abundantly in the eukaryotic cytosol. This property allows the CPD to spatially and temporally regulate toxin activation, making it a prime candidate for developing anti-toxin therapeutics. In this review, we summarize recent findings related to defining the regulation of toxin function by the CPD and the development of inhibitors to prevent CPD-mediated activation of bacterial toxins.

Indexed as

Bacterial ToxinsClostridiumCysteine ProteasesPhytic AcidProtein ConformationVibrio choleraeBacterial ToxinsCysteine ProteasesPhytic AcidRtxA protein, Vibrio choleraecysteine protease domain (CPD)glucosylating toxin (GT)glucosyltransferase (Glc)inositol hexakisphosphate (InsP6)MARTX toxinstructure activity relationship (SAR)

Identifiers

PMID22069620
PMCPMC3153235
OpenAlexW1969867397

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.