Evidence map›Paper›PMID 25445324›Full record

ArticleJournal of immunological methods2015

Integrative analysis of T cell motility from multi-channel microscopy data using TIAM.

Viveka Mayya, Willie Neiswanger, Ricardo Medina, Chris H Wiggins, Michael L Dustin

Open access · hybridAbstract read
In one paragraph

Article in Journal of immunological methods, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

5 authors at 3 institutions in 2 countries.

Viveka MayyaSkirball Institute of Biomolecular Medicine, NYU Medical Center, 540 First Avenue, New York, NY 10016, USA.
Willie NeiswangerDepartment of Applied Physics and Applied Mathematics, Columbia University, 200 S.W. Mudd Building, 500 W. 120th St., New York, NY 10027, USA.
Ricardo MedinaDepartment of Applied Physics and Applied Mathematics, Columbia University, 200 S.W. Mudd Building, 500 W. 120th St., New York, NY 10027, USA.
Chris H WigginsDepartment of Applied Physics and Applied Mathematics, Columbia University, 200 S.W. Mudd Building, 500 W. 120th St., New York, NY 10027, USA.
Michael L DustinSkirball Institute of Biomolecular Medicine, NYU Medical Center, 540 First Avenue, New York, NY 10016, USA; Kennedy Institute of Rheumatology, University of Oxford, Roosevelt Drive, Headington, Oxford OX3 7FY, UK. Electronic address: michael.dustin@kennedy.ox.ac.uk.
Columbia University · USNYU Langone Health · USUniversity of Oxford · GB

Funding

Nanomedicine development center for mechanobiologyPN2EY016586 · NEI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DUSTIN, MICHAEL LORAN · 2005 to 2014
$23.0M
Requirement for Sensitive T Cell Response to AntigenR37AI043542 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DUSTIN, MICHAEL LORAN · 2007 to 2016
$3.6M
Environmental Control of the Immunological SynapseR01AI055037 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DUSTIN, MICHAEL LORAN · 2004 to 2014
$3.6M
NEI NIH HHS PN2 EY016586NIAID NIH HHS R01 AI055037NIAID NIH HHS R01 AI55037NIAID NIH HHS R37 AI043542NIAID NIH HHS R37 AI43542Wellcome Trust 100262
6 · The paper itself

Abstract

Integrative analytical approaches are needed to study and understand T cell motility as it is a highly coordinated and complex process. Several computational algorithms and tools are available to track motile cells in time-lapse microscopy images. In contrast, there has only been limited effort towards the development of tools that take advantage of multi-channel microscopy data and facilitate integrative analysis of cell-motility. We have implemented algorithms for detecting, tracking, and analyzing cell motility from multi-channel time-lapse microscopy data. We have integrated these into a MATLAB-based toolset we call TIAM (Tool for Integrative Analysis of Motility). The cells are detected by a hybrid approach involving edge detection and Hough transforms from transmitted light images. Cells are tracked using a modified nearest-neighbor association followed by an optimization routine to join shorter segments. Cell positions are used to perform local segmentation for extracting features from transmitted light, reflection and fluorescence channels and associating them with cells and cell-tracks to facilitate integrative analysis. We found that TIAM accurately captures the motility behavior of T cells and performed better than DYNAMIK, Icy, Imaris, and Volocity in detecting and tracking motile T cells. Extraction of cell-associated features from reflection and fluorescence channels was also accurate with less than 10% median error in measurements. Finally, we obtained novel insights into T cell motility that were critically dependent on the unique capabilities of TIAM. We found that 1) the CD45RO subset of human CD8 T cells moved faster and exhibited an increased propensity to attach to the substratum during CCL21-driven chemokinesis when compared to the CD45RA subset; and 2) attachment area and arrest coefficient during antigen-induced motility of the CD45A subset is correlated with surface density of integrin LFA1 at the contact.

Indexed as

AlgorithmsCD8-Positive T-LymphocytesCell MovementChemokine CCL21HumansImage Processing, Computer-AssistedImaging, Three-DimensionalLeukocyte Common AntigensMicroscopy, ConfocalSoftwareChemokine CCL21Leukocyte Common AntigensIntegrative analysisMulti-channel microscopyT cell motilityTracking

Identifiers

PMID25445324
PMCPMC4323926
OpenAlexW1973281227

What OpenQuestion holds

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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.