CelltrackR: An R package for fast and flexible analysis of immune cell migration data.

Cell track analysis Immune cell migration Modeling Motion statistics Two-photon imaging

Journal

Immunoinformatics (Amsterdam, Netherlands)
ISSN: 2667-1190
Titre abrégé: Immunoinformatics (Amst)
Pays: Netherlands
ID NLM: 9918266300606676

Informations de publication

Date de publication:
Oct 2021
Historique:
medline: 1 10 2021
entrez: 10 4 2023
pubmed: 1 10 2021
Statut: ppublish

Résumé

Visualization of cell migration via time-lapse microscopy has greatly advanced our understanding of the immune system. However, subtle differences in migration dynamics are easily obscured by biases and imaging artifacts. While several analysis methods have been suggested to address these issues, an integrated tool implementing them is currently lacking. Here, we present celltrackR, an R package containing a diverse set of state-of-the-art analysis methods for (immune) cell tracks. CelltrackR supports the complete pipeline for track analysis by providing methods for data management, quality control, extracting and visualizing migration statistics, clustering tracks, and simulating cell migration. CelltrackR supports the analysis of both 2D and 3D cell tracks. CelltrackR is an open-source package released under the GPL-2 license, and is freely available on both GitHub and CRAN. Although the package was designed specifically for immune cell migration data, many of its methods will also be of use in other research areas dealing with moving objects.

Identifiants

pubmed: 37034276
doi: 10.1016/j.immuno.2021.100003
pmc: PMC10079262
mid: NIHMS1884788
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : NIAID NIH HHS
ID : R01 AI077600
Pays : United States
Organisme : NIAID NIH HHS
ID : U01 AI095550
Pays : United States

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Auteurs

Inge M N Wortel (IMN)

Department of Tumor Immunology, Radboud Institute of Molecular Life Sciences, Geert Grooteplein 26-28, Nijmegen, the Netherlands.

Annie Y Liu (AY)

Division of Infectious Diseases, Washington University School of Medicine, 4523 Clayton Avenue, St Louis, USA.

Katharina Dannenberg (K)

Institute for Theoretical Computer Science, Universitat zu Lubeck, Ratzeburger Allee 160, Lubeck, Germany.

Jeffrey C Berry (JC)

Division of Infectious Diseases, Washington University School of Medicine, 4523 Clayton Avenue, St Louis, USA.

Mark J Miller (MJ)

Division of Infectious Diseases, Washington University School of Medicine, 4523 Clayton Avenue, St Louis, USA.

Johannes Textor (J)

Department of Tumor Immunology, Radboud Institute of Molecular Life Sciences, Geert Grooteplein 26-28, Nijmegen, the Netherlands.

Classifications MeSH