Evidence map›Paper›PMID 25692801›Full record

ArticlePLoS computational biology2015

Heterogeneous CD8+ T cell migration in the lymph node in the absence of inflammation revealed by quantitative migration analysis.

Edward J Banigan, Tajie H Harris, David A Christian, Christopher A Hunter, Andrea J Liu

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

29 citing papers in PubMed, 58 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 2 institutions in 1 country.

Edward J BaniganDepartment of Physics and Astronomy, School of Arts and Sciences, University of Pennsylvania, Philadelphia, Philadelphia, United States of America; Department of Physics and Astronomy, Northwestern University, Evanston, Illinois, United States of America.
Tajie H HarrisDepartment of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Philadelphia, United States of America; Department of Neuroscience, School of Medicine, University of Virginia, Charlottesville, Virginia, United States of America.
David A ChristianDepartment of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Philadelphia, United States of America.
Christopher A HunterDepartment of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Philadelphia, United States of America.
Andrea J LiuDepartment of Physics and Astronomy, School of Arts and Sciences, University of Pennsylvania, Philadelphia, Philadelphia, United States of America.
University of Pennsylvania · USUniversity of Virginia · US

Funding

IMMUNOPATHOGENESIS OF TOXOPLASMIC ENCEPHALITISR01AI041158 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI HUNTER, CHRISTOPHER A · 1996 to 2019
$4.8M
Regulation of the early immune response to toxoplasma gondiiR01AI042334 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI HUNTER, CHRISTOPHER A · 1998 to 2013
$4.1M
Role of chemokines in the T cell response to ocular toxoplasmosisR21EY021314 · NEI · UNIVERSITY OF PENNSYLVANIA · PI HUNTER, CHRISTOPHER A · 2011 to 2012
$440k
NEI NIH HHS EY-021314NEI NIH HHS R21 EY021314NIAID NIH HHS AI-41158NIAID NIH HHS AI-42334NIAID NIH HHS R01 AI041158NIAID NIH HHS R01 AI042334
6 · The paper itself

Abstract

The three-dimensional positions of immune cells can be tracked in live tissues precisely as a function of time using two-photon microscopy. However, standard methods of analysis used in the field and experimental artifacts can bias interpretations and obscure important aspects of cell migration such as directional migration and non-Brownian walk statistics. Therefore, methods were developed for minimizing drift artifacts, identifying directional and anisotropic (asymmetric) migration, and classifying cell migration statistics. These methods were applied to describe the migration statistics of CD8+ T cells in uninflamed lymph nodes. Contrary to current models, CD8+ T cell statistics are not well described by a straightforward persistent random walk model. Instead, a model in which one population of cells moves via Brownian-like motion and another population follows variable persistent random walks with noise reproduces multiple statistical measures of CD8+ T cell migration in the lymph node in the absence of inflammation.

Indexed as

Models, ImmunologicalAnimalsCD8-Positive T-LymphocytesCell MovementCells, CulturedComputational BiologyComputer SimulationLymph NodesMiceMice, Inbred C57BLMice, TransgenicSpleen

Identifiers

PMID25692801
PMCPMC4334969
OpenAlexW1998767469

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.