Evidence map›Paper›PMID 37930533›Full record

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

Protein-Protein Interactions: Bimolecular Fluorescence Complementation and Cytology Two Hybrid.

Dyuti Purkait, Mohd Ilyas, Krishnamohan Atmakuri

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
3.9field-weighted citation impact, top 6% 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, 2 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Dyuti PurkaitTranslational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana, India.
Mohd IlyasTranslational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana, India.
Krishnamohan AtmakuriTranslational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana, India. atmakrish@thsti.res.in.
Translational Health Science and Technology Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying protein-protein interactions between machine components of bacterial secretion systems and their cognate substrates is central to delineating how the machines operate to translocate their substrates. Further, establishing which among the machine components and their substrates interact with each other facilitates (i) advancement in our understanding of the architecture and assembly of the machines, (ii) understanding the substrates' translocation routes and mechanisms, and (iii) how the machines and the substrates talk to each other. Currently, though diverse biochemical methods exist in identifying direct and indirect protein-protein interactions, they primarily remain in vitro and can be quite labor intensive. They also may capture/exhibit false-positive interactions because of barrier breakdowns as part of methodology. Thus, adopting novel genetic approaches to help visualize the same in vivo can yield quick, advantageous, reliable, and informative protein-protein interactions data. Here, we describe the easily adoptable bimolecular fluorescence complementation and cytology-based two-hybrid assays to understand the bacterial secretions systems.

Indexed as

Bacterial Secretion SystemsCytodiagnosisCytological TechniquesHumansTranslocation, GeneticTwo-Hybrid System TechniquesBacterial Secretion SystemsBimolecular fluorescence complementation (BiFC)Cytology-based two hybrid (C2H)Functional reconstitutionNonfluorescing halvesProtein–protein interactions

Identifiers

PMID37930533
OpenAlexW4388422424

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.