Evidence map›Paper›PMID 34568431›Full record

ReviewFrontiers in molecular biosciences2021

Pore Forming Protein Induced Biomembrane Reorganization and Dynamics: A Focused Review.

Ilanila Ilangumaran Ponmalar, Nirod K Sarangi, Jaydeep K Basu, K Ganapathy Ayappa

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in molecular biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Emerging Designs and Applications for Biomembrane Biosensors.Annual review of analytical chemistry (Palo Alto, Calif.) · 2024
    Review
  6. Review
  7. Article
  8. Review
  9. 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

4 authors at 2 institutions in 2 countries.

Ilanila Ilangumaran PonmalarCenter for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, India.
Nirod K SarangiSchool of Chemical Science, Dublin City University, Dublin, Ireland.
Jaydeep K BasuDepartment of Physics, Indian Institute of Science, Bangalore, India.
K Ganapathy AyappaCenter for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, India.
Indian Institute of Science Bangalore · INDublin City University · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pore forming proteins are a broad class of pathogenic proteins secreted by organisms as virulence factors due to their ability to form pores on the target cell membrane. Bacterial pore forming toxins (PFTs) belong to a subclass of pore forming proteins widely implicated in bacterial infections. Although the action of PFTs on target cells have been widely investigated, the underlying membrane response of lipids during membrane binding and pore formation has received less attention. With the advent of superresolution microscopy as well as the ability to carry out molecular dynamics (MD) simulations of the large protein membrane assemblies, novel microscopic insights on the pore forming mechanism have emerged over the last decade. In this review, we focus primarily on results collated in our laboratory which probe dynamic lipid reorganization induced in the plasma membrane during various stages of pore formation by two archetypal bacterial PFTs, cytolysin A (ClyA), an

Indexed as

cytolysin Afluorescence correlation spectroscopylipid dynamicslisteriolysin Omolecular dynamics simulationspore-forming toxinSTED nanoscopy

Identifiers

PMID34568431
PMCPMC8459938
OpenAlexW3201326669

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.