Publikation:

Method for co-cluster analysis in multichannel single-molecule localisation data

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2014

Autor:innen

Cohen, Edward
Gaus, Katharina
Owen, Dylan M.

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https://doi.org/10.1007/s00418-014-1208-z
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Histochemistry and Cell Biology. 2014, 141(6), pp. 605-612. ISSN 0018-2222. eISSN 1432-119X. Available under: doi: 10.1007/s00418-014-1208-z

Zusammenfassung

We demonstrate a combined univariate and bivariate Getis and Franklin's local point pattern analysis method to investigate the co-clustering of membrane proteins in two-dimensional single-molecule localisation data. This method assesses the degree of clustering of each molecule relative to its own species and relative to a second species. Using simulated data, we show that this approach can quantify the degree of cluster overlap in multichannel point patterns. The method is validated using photo-activated localisation microscopy and direct stochastic optical reconstruction microscopy data of the proteins Lck and CD45 at the T cell immunological synapse. Analysing co-clustering in this manner is generalizable to higher numbers of fluorescent species and to three-dimensional or live cell data sets.

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Fachgebiet (DDC)
570 Biowissenschaften, Biologie

Schlagwörter

Cluster analysis, Super-resolution, Co-localisation, PALM, STORM

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ISO 690ROSSY, Jérémie, Edward COHEN, Katharina GAUS, Dylan M. OWEN, 2014. Method for co-cluster analysis in multichannel single-molecule localisation data. In: Histochemistry and Cell Biology. 2014, 141(6), pp. 605-612. ISSN 0018-2222. eISSN 1432-119X. Available under: doi: 10.1007/s00418-014-1208-z
BibTex
@article{Rossy2014-06Metho-43249,
  year={2014},
  doi={10.1007/s00418-014-1208-z},
  title={Method for co-cluster analysis in multichannel single-molecule localisation data},
  number={6},
  volume={141},
  issn={0018-2222},
  journal={Histochemistry and Cell Biology},
  pages={605--612},
  author={Rossy, Jérémie and Cohen, Edward and Gaus, Katharina and Owen, Dylan M.}
}
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