Evidence map›Paper›PMID 42814360›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2027

Measuring Membrane Protein Dynamics in Plant Roots Using Fluorescence Correlation Spectroscopy.

Jasim Basheer, Petra Marhava

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Article in Methods in molecular biology (Clifton, N.J.), 2027. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Jasim BasheerKing Abdullah University of Science and Technology (KAUST), Plant Science Program, Biological and Environmental Science and Engineering Division (BESE), Thuwal, 23955-6900, Saudi Arabia.
Petra MarhavaKing Abdullah University of Science and Technology (KAUST), Plant Science Program, Biological and Environmental Science and Engineering Division (BESE), Thuwal, 23955-6900, Saudi Arabia. petra.marhava@kaust.edu.sa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative methods using imaging and spectroscopy offer valuable insights into cell biology and molecular biophysics by elucidating complex mechanisms across various cellular environments. Fluorescence correlation spectroscopy (FCS) is particularly advantageous for quantifying the dynamics of fluorescent particles in low-concentration samples. As a high-resolution spectroscopic method with single-molecule sensitivity, FCS is well-suited to investigating membrane proteins, molecular interactions, aggregation, and conformational changes in living systems, including plant cells. However, challenges such as background fluorescence and artifacts arising from biological sample properties require careful experimental design, thereby limiting the routine application of FCS in plant tissues. Recent advancements in technology, such as confocal optics and highly efficient photon detectors, have substantially enhanced FCS's sensitivity and expanded its capacity for single-molecule detection. These advancements now empower plant biologists to explore the dynamics of plant proteins under various conditions. This chapter focuses on methodologies in fluorescence autocorrelation spectroscopy (FACS/FCS) and their application to plant research, with a particular emphasis on plasma membrane proteins in Arabidopsis root cells.

Indexed as

ArabidopsisArabidopsis ProteinsMembrane ProteinsPlant RootsCell MembraneMicroscopy, ConfocalSpectrometry, FluorescenceArabidopsis ProteinsMembrane ProteinsArabidopsis thalianaConfocal microscopyFCSFluorescence correlation spectroscopyPlasma membraneProtein diffusionRoot

Identifiers

PMID42814360

What OpenQuestion holds

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Registered trials

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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.