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Steady-state cross-correlations for live two-colour super-resolution localization data sets

Author

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  • Matthew B. Stone

    (University of Michigan)

  • Sarah L. Veatch

    (University of Michigan)

Abstract

Cross-correlation of super-resolution images gathered from point localizations allows for robust quantification of protein co-distributions in chemically fixed cells. Here this is extended to dynamic systems through an analysis that quantifies the steady-state cross-correlation between spectrally distinguishable probes. This methodology is used to quantify the co-distribution of several mobile membrane proteins in both vesicles and live cells, including Lyn kinase and the B-cell receptor during antigen stimulation.

Suggested Citation

  • Matthew B. Stone & Sarah L. Veatch, 2015. "Steady-state cross-correlations for live two-colour super-resolution localization data sets," Nature Communications, Nature, vol. 6(1), pages 1-10, November.
    • Handle: RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms8347
    DOI: 10.1038/ncomms8347
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    Cited by:

    1. Daniel Wirth & Ece Özdemir & Kalina Hristova, 2023. "Quantification of ligand and mutation-induced bias in EGFR phosphorylation in direct response to ligand binding," Nature Communications, Nature, vol. 14(1), pages 1-13, December.

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