ReviewWiley interdisciplinary reviews. Systems biology and medicine
Fluorescence correlation spectroscopy and fluorescence cross-correlation spectroscopy.
Review in Wiley interdisciplinary reviews. Systems biology and medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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.
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.
Who cites it
17 citing papers in PubMed, 32 citations in OpenAlex.
- Review
- Mapping Protein Diffusion from the Plasma Membrane to the Nucleus: Insights from Fluorescence Correlation Spectroscopy.Biomolecules · 2026Review
- Nuclear envelope mechanobiology: linking the nuclear structure and function.Nucleus (Austin, Tex.) · 2021Review
- Fluorescence Fluctuation Spectroscopy enables quantification of potassium channel subunit dynamics and stoichiometry.Scientific reports · 2021Article
- The RTK Interactome: Overview and Perspective on RTK Heterointeractions.Chemical reviews · 2019Review
- Review
- Phase correlation imaging of unlabeled cell dynamics.Scientific reports · 2016Article
- Oligodendroglial membrane dynamics in relation to myelin biogenesis.Cellular and molecular life sciences : CMLS · 2016Review
- Molecular basis for multimerization in the activation of the epidermal growth factor receptor.eLife · 2016Article
- Preferential retrotransposition in aging yeast mother cells is correlated with increased genome instability.DNA repair · 2015Article
- Application of three-photon excitation FCS to the study of protein oligomerization.The journal of physical chemistry. B · 2014Article
- Mapping diffusion in a living cell via the phasor approach.Biophysical journal · 2014Article
- Rapid measurement of molecular transport and interaction inside living cells using single plane illumination.Scientific reports · 2014Article
- Article
- A postreductionist framework for protein biochemistry.Nature chemical biology · 2011Article
- Functional polymers in protein detection platforms: optical, electrochemical, electrical, mass-sensitive, and magnetic biosensors.Sensors (Basel, Switzerland) · 2011Review
- Lipid packing determines protein-membrane interactions: challenges for apolipoprotein A-I and high density lipoproteins.Biochimica et biophysica acta · 2010Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
This article focuses on methods based on fluctuation correlation spectroscopy to determine the formation of protein complexes in living cells. We present the principles of the fluctuation method applied to cells. We discuss the novelty and the promises of this approach. The emphasis is in the discussion of the underlying statistical assumptions of the image correlation spectroscopy analysis rather than in reviewing applications of the method. Although one example of the application of the fluctuation method is given, this article also contains simulations that are better suited to illustrate and support the basic assumptions of the method.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.