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InferenceMAP: mapping of single-molecule dynamics with Bayesian inference

Nature Methods volume 12, pages 594–595 (2015)Cite this article

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To the Editor:

Single-particle tracking (SPT) grants unprecedented insight into cellular function at the molecular scale1. Throughout the cell, the movement of single molecules is generally heterogeneous and complex. Hence, there is a strong need to understand the multiscale nature of single-molecule dynamics in biological systems. We have previously shown that with high-density SPT, spatial maps of the parameters that dictate molecule motion can be generated to intricately describe cellular environments2,3. To date, however, there exist no publicly available tools that reconcile trajectory data to generate such maps. We address this void with InferenceMAP, an interactive software package that uses a powerful Bayesian method to spatially map the dynamics of individual biomolecules (Supplementary Software 1 and 2).

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Figure 1: Applications of InferenceMAP to experimental single-molecule trajectories.

References

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Acknowledgements

We thank A. Alexandrou, D. Casanova, S. Türkcan and M. Richly (École Polytechnique) for providing lipid raft data. For glycine receptor constructs, gephyrin plasmids and neuronal data sets, we thank C. Salvatico, P. Dionne, C. Specht, M. Renner and A. Triller (École Normale Supérieure). We also thank C. Zimmer and J.-C. Olivo-Marin, D. Krapf and the Transcription Imaging Consortium for useful discussions in the preparation of this work. This work was supported by funding from the state program “Investissements d'avenir” managed by Agence Nationale de la Recherche (grant ANR-10-BINF-05 “Pherotaxis” and grant ANR-10-INSB-04 “France BioImaging”), the Institut Curie International PhD Program, Paris-Science-Lettres (program ANR-10-IDEX-0001-02 PSL) and ANR grants TRIDIMIC and SYNAPTUNE.

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Authors and Affiliations

  1. Physico-Chimie Curie, Institut Curie, Paris Sciences Lettres, CNRS UMR 168, Université Pierre et Marie Curie–Paris 6, Paris, France

    Mohamed El Beheiry & Maxime Dahan

  2. Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, USA

    Mohamed El Beheiry, Maxime Dahan & Jean-Baptiste Masson

  3. Institut Pasteur, Physics of Biological Systems, CNRS UMR 3525, Paris, France

    Jean-Baptiste Masson

Authors
  1. Mohamed El Beheiry
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  2. Maxime Dahan
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  3. Jean-Baptiste Masson
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Correspondence to Mohamed El Beheiry or Jean-Baptiste Masson.

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Supplementary information

Supplementary text and figures

Manual pdf (PDF 7126 kb)

Supplementary Software 1

InferenceMAP for Mac OS X (ZIP 10213 kb)

Supplementary Software 2

InferenceMAP for Windows (ZIP 10337 kb)

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Beheiry, M., Dahan, M. & Masson, JB. InferenceMAP: mapping of single-molecule dynamics with Bayesian inference. Nat Methods 12, 594–595 (2015). https://doi.org/10.1038/nmeth.3441

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