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PMID:21463595

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Citation

Semrau, S, Holtzer, L, González-Gaitán, M and Schmidt, T (2011) Quantification of biological interactions with particle image cross-correlation spectroscopy (PICCS). Biophys. J. 100:1810-8

Abstract

A multitude of biological processes that involve multiple interaction partners are observed by two-color microscopy. Here we describe an analysis method for the robust quantification of correlation between signals in different color channels: particle image cross-correlation spectroscopy (PICCS). The method, which exploits the superior positional accuracy obtained in single-object and single-molecule microscopy, can extract the correlation fraction and length scale. We applied PICCS to correlation measurements in living tissues. The morphogen Decapentaplegic (Dpp) was imaged in wing imaginal disks of fruit fly larvae and we quantified what fraction of early endosomes contained Dpp.

Links

PubMed PMC3072609 Online version:10.1016/j.bpj.2010.12.3746

Keywords

Algorithms; Animals; Computer Simulation; Drosophila Proteins/metabolism; Drosophila melanogaster/metabolism; Endosomes/metabolism; Fluorescent Dyes/metabolism; Imaging, Three-Dimensional/methods; Larva/metabolism; Microspheres; Reproducibility of Results; Spectrum Analysis/methods; Wing/metabolism

Significance

Annotations

Gene product Qualifier GO Term Evidence Code with/from Aspect Extension Notes Status

DROME:DECA

colocalizes_with

GO:0005768: endosome

ECO:0000314: direct assay evidence used in manual assertion

C

Seeded From UniProt

complete


See also

References

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