Evidence map›Paper›PMID 37450143›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Detecting Protein-Protein Interactions Using Bimolecular Fluorescence Complementation (BiFC) and Luciferase Complementation Assays (LCA).

Pepijn Bais, Louai Alidrissi, Ikram Blilou

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Pepijn BaisBESE Division, Plant Cell and Developmental Biology, King Abdullah University of Science and Technology, Thuwal, Kingdom of Saudi Arabia.
Louai AlidrissiBESE Division, Plant Cell and Developmental Biology, King Abdullah University of Science and Technology, Thuwal, Kingdom of Saudi Arabia.
Ikram BlilouBESE Division, Plant Cell and Developmental Biology, King Abdullah University of Science and Technology, Thuwal, Kingdom of Saudi Arabia. ikram.blilou@kaust.edu.sa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In multicellular organisms, establishing the full body plane involves cell-cell signaling where protein associations are important for the diverse cellular functions within the cells. For the study of protein-protein interactions (PPI), bimolecular fluorescence complementation (BiFC) and luciferase complementation assays (LCA) have proven to be reliable tools that can be used to confirm the physical association of two proteins in a semi-in vivo environment. This chapter provides a detailed description of these two techniques using Nicotiana benthamiana as a semi-in vivo transient expression system. As an example, we will use the interaction of the two well-described transcription factors SHORT-ROOT (SHR) and SCARECROW (SCR), which are known as regulators of asymmetric cell division and stem cell specification in the root meristem of the model plant Arabidopsis thaliana. While the BiFC assay provides subcellular information by displaying a fluorescence signal, nuclear in this case, resulting from the reconstituted fluorophore, the LCA generates a quantitative readout of the SCR-SHR interaction. The combination of both assays provides information on the localization and strength of the PPI.

Indexed as

ArabidopsisArabidopsis ProteinsFluorescenceLuciferasesLuminescent ProteinsMicroscopy, FluorescenceProtein Interaction MappingArabidopsis ProteinsLuciferasesLuminescent ProteinsBiFCFluorescenceLCALuciferaseLuminescencePPIsTobaccoYFP

Identifiers

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.