Evidence map›Paper›PMID 19060950›Full record

ArticlePloS one2008

An experimental and computational study of effects of microtubule stabilization on T-cell polarity.

Arie Baratt, Sergey N Arkhipov, Ivan V Maly

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

10 citing papers in PubMed, 14 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

3 authors at 1 institution in 1 country.

Arie BarattDepartment of Computational Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States of America.
Sergey N Arkhipov
Ivan V Maly
University of Pittsburgh · US

Funding

Quantitative Study of T-cell PolarizationR01GM078332 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MALY, IVAN V · 2006 to 2010
$1.4M
NIGMS NIH HHS GM078332NIGMS NIH HHS R01 GM078332
6 · The paper itself

Abstract

T-killer cells eliminate infected and cancerous cells with precision by positioning their centrosome near the interface (immunological synapse) with the target cell. The mechanism of centrosome positioning has remained controversial, in particular the role of microtubule dynamics in it. We re-examined the issue in the experimental model of Jurkat cells presented with a T cell receptor-binding artificial substrate, which permits controlled stimulation and reproducible measurements. Neither 1-microM taxol nor 100-nM nocodazole inhibited the centrosome positioning at the "synapse" with the biomimetic substrate. At the same time, in micromolar taxol but not in nanomolar nocodazole the centrosome adopted a distinct peripheral rather than the normally central position within the synapse. This effect was reproduced in a computational energy-minimization model that assumed no microtubule dynamics, but only a taxol-induced increase in the length of the microtubules. Together, the experimental and computational results indicate that microtubule dynamics are not essential for the centrosome positioning, but that the fit of the microtubule array in the deformed body of the conjugated T cell is a major factor. The possibility of modulating the T-cell centrosome position with well-studied drugs and of predicting their effects in silico appears attractive for designing anti-cancer and antiviral therapies.

Indexed as

Cell PolarityModels, BiologicalAlgorithmsCentrosomeHumansJurkat CellsMicrotubulesNocodazolePaclitaxelT-LymphocytesNocodazolePaclitaxel

Identifiers

PMID19060950
PMCPMC2586653
OpenAlexW2032306277

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.