Evidence map›Paper›PMID 37930551›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Effector Translocation Assay: Differential Solubilization.

Irina S Franco, Sara V Pais, Nuno Charro, Luís Jaime Mota

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 15% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Experimental Approaches to Visualize Effector Protein Translocation During Host-Pathogen Interactions.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    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 1 country.

Irina S FrancoAssociate Laboratory i4HB - Institute for Health and Bioeconomy, NOVA School of Science and Technology, NOVA University Lisbon, Caparica, Portugal.
Sara V PaisUCIBIO - Applied Molecular Biosciences Unit, Department of Life Sciences, NOVA School of Science and Technology, NOVA University Lisbon, Caparica, Portugal.
Nuno CharroUCIBIO - Applied Molecular Biosciences Unit, Department of Life Sciences, NOVA School of Science and Technology, NOVA University Lisbon, Caparica, Portugal.
Luís Jaime MotaAssociate Laboratory i4HB - Institute for Health and Bioeconomy, NOVA School of Science and Technology, NOVA University Lisbon, Caparica, Portugal. ljmota@fct.unl.pt.
Universidade Nova de Lisboa · PTUnidade em Ciências Biomoleculares Aplicadas

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of effector proteins delivered into mammalian host cells by bacterial pathogens possessing syringe-like nanomachines is an important step towards an understanding of the mechanisms underlying virulence of these pathogens. In this chapter, we describe a method based on mammalian tissue culture infection models where incubation with a non-ionic detergent (Triton X-100) enables solubilization of host cell membranes but not of bacterial membranes. This allows the isolation of a Triton-soluble fraction lacking bacteria but enriched in proteins present in the host cell cytoplasm, nucleus, and plasma membrane. Using appropriate controls, this fraction can be probed by immunoblotting for the presence of bacterial effector proteins delivered into host cells.

Indexed as

Bacterial ProteinsBiological AssayAnimalsCell MembraneImmunoblottingMammalsOctoxynolTranslocation, GeneticBacterial ProteinsOctoxynolBacterial protein secretion systemDetergent solubilizationEffector; translocationImmunoblottingSDS-PAGEType III secretion

Identifiers

PMID37930551
OpenAlexW4388423295

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.