Evidence map›Paper›PMID 37034276›Full record

ArticleImmunoinformatics (Amsterdam, Netherlands)2021

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

Inge M N Wortel, Annie Y Liu, Katharina Dannenberg, Jeffrey C Berry, Mark J Miller, Johannes Textor

Open access · goldAbstract read
In one paragraph

Article in Immunoinformatics (Amsterdam, Netherlands), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
8.5field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 56 citations in OpenAlex.

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  5. Peroxisome calcium uptake is dependent on ER-peroxisome membrane contact.Cellular and molecular life sciences : CMLS · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 3 countries.

Inge M N WortelDepartment of Tumor Immunology, Radboud Institute of Molecular Life Sciences, Geert Grooteplein 26-28, Nijmegen, the Netherlands.
Annie Y LiuDivision of Infectious Diseases, Washington University School of Medicine, 4523 Clayton Avenue, St Louis, USA.
Katharina DannenbergInstitute for Theoretical Computer Science, Universitat zu Lubeck, Ratzeburger Allee 160, Lubeck, Germany.
Jeffrey C BerryDivision of Infectious Diseases, Washington University School of Medicine, 4523 Clayton Avenue, St Louis, USA.
Mark J MillerDivision of Infectious Diseases, Washington University School of Medicine, 4523 Clayton Avenue, St Louis, USA.
Johannes TextorDepartment of Tumor Immunology, Radboud Institute of Molecular Life Sciences, Geert Grooteplein 26-28, Nijmegen, the Netherlands.
Washington University in St. Louis · USRadboud University Nijmegen · NLUniversity of Lübeck · DE

Funding

GOBLET CELLS IN INTESTINAL IMMUNE HOMEOSTATSISR01DK097317 · NIDDK · WASHINGTON UNIVERSITY · PI NEWBERRY, RODNEY D · 2012 to 2025
$5.6M
Epithelial Responses to Bacterial InvasionR01AI077600 · NIAID · WASHINGTON UNIVERSITY · PI MILLER, MARK JAMES · 2009 to 2021
$3.8M
Lamina Propria Antigen Acquisition Pathways and OutcomesU01AI095550 · NIAID · WASHINGTON UNIVERSITY · PI MILLER, MARK JAMES, NEWBERRY, RODNEY D · 2011 to 2015
$1.8M
NIAID NIH HHS R01 AI077600NIAID NIH HHS U01 AI095550NIDDK NIH HHS R01 DK097317
6 · The paper itself

Abstract

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.

Indexed as

Cell track analysisImmune cell migrationModelingMotion statisticsTwo-photon imaging

Identifiers

PMID37034276
PMCPMC10079262
OpenAlexW3188496270

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.