Evidence map›Paper›PMID 30153408›Full record

ArticleACS chemical neuroscience2019

Single Quantum Dot Imaging Reveals PKCβ-Dependent Alterations in Membrane Diffusion and Clustering of an Attention-Deficit Hyperactivity Disorder/Autism/Bipolar Disorder-Associated Dopamine Transporter Variant.

Lucas B Thal, Ian D Tomlinson, Meagan A Quinlan, Oleg Kovtun, Randy D Blakely, Sandra J Rosenthal

Abstract read
In one paragraph

Article in ACS chemical neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Genetic and epigenetic signatures associated with plasma oxytocin levels in children and adolescents with autism spectrum disorder.Autism research : official journal of the International Society for Autism Research · 2023
    Trial
  3. Article
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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.

Ian D Tomlinson
Meagan A Quinlan
Oleg Kovtun
Sandra J RosenthalORCID 0000-0002-4576-5854

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI STACIE B DUSETZINA · 1995 to 2026
$172.8M
Translational Analysis CoreP30DK058404 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RICHARD M. PEEK · 2002 to 2026
$29.9M
Vanderbilt Diabetes Research CenterP30DK020593 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ALVIN C POWERS · 2012 to 2026
$29.3M
Shop Module CoreP30EY008126 · NEI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI David J. Calkins · 1989 to 2026
$19.6M
Vanderbilt Mouse Metabolic Physiology CenterU24DK059637 · NIDDK · VANDERBILT UNIVERSITY · PI WASSERMAN, DAVID H · 2001 to 2015
$14.9M
Chemistry-Biology Interface Training GrantT32GM065086 · NIGMS · VANDERBILT UNIVERSITY · PI BACHMANN, BRIAN O, SULIKOWSKI, GARY ALLEN · 2002 to 2022
$7.0M
KNOCK-IN MOUSE MODEL OF DOPAMINE DYSFUNCTION UNDERLYING TRAITS OF ADHDR01MH105094 · NIMH · VANDERBILT UNIVERSITY · PI BLAKELY, RANDY D. · 2014 to 2018
$1.9M
Multi-Excitation TIRF Microscope for Shared ResourceS10OD018075 · OD · VANDERBILT UNIVERSITY · PI WELLS, K. SAM · 2015 to 2015
$370k
NCI NIH HHS P30 CA068485NEI NIH HHS P30 EY008126NIDDK NIH HHS P30 DK020593NIDDK NIH HHS P30 DK058404NIDDK NIH HHS U24 DK059637NIGMS NIH HHS T32 GM065086NIH HHS S10 OD018075NIMH NIH HHS R01 MH105094
6 · The paper itself

Abstract

The dopamine transporter (DAT) is a transmembrane protein that terminates dopamine signaling in the brain by driving rapid dopamine reuptake into presynaptic nerve terminals. Several lines of evidence indicate that DAT dysfunction is linked to neuropsychiatric disorders such as attention-deficit/hyperactivity disorder (ADHD), bipolar disorder (BPD), and autism spectrum disorder (ASD). Indeed, individuals with these disorders have been found to express the rare, functional DAT coding variant Val559, which confers anomalous dopamine efflux (ADE) in vitro and in vivo. To elucidate the impact of the DAT Val559 variant on membrane diffusion dynamics, we implemented our antagonist-conjugated quantum dot (QD) labeling approach to monitor the lateral mobility of single particle-labeled transporters in transfected HEK-293 and SK-N-MC cells. Our results demonstrate significantly higher diffusion coefficients of DAT Val559 compared to those of DAT Ala559, effects likely determined by elevated N-terminal transporter phosphorylation. We also provide pharmacological evidence that PKCβ-mediated signaling supports enhanced DAT Val559 membrane diffusion rates. Additionally, our results are complimented with diffusion rates of phosphomimicked and phosphorylation-occluded DAT variants. Furthermore, we show DAT Val559 has a lower propensity for membrane clustering, which may be caused by a mutation-derived shift out of membrane microdomains leading to faster lateral membrane diffusion rates. These findings further demonstrate a functional impact of DAT Val559 and suggest that changes in transporter localization and lateral mobility may sustain ADE and contribute to alterations in dopamine signaling underlying multiple neuropsychiatric disorders.

Indexed as

Attention Deficit Disorder with HyperactivityAutistic DisorderBipolar DisorderCell MembraneDiffusionDopamine Plasma Membrane Transport ProteinsGenetic VariationHEK293 CellsHumansProtein Kinase C betaQuantum DotsValineDopamine Plasma Membrane Transport ProteinsPRKCB protein, humanProtein Kinase C betaValineAttention-deficit/hyperactivity disorderbipolar disorderclusteringdopamine transportersingle molecule imagingsingle quantum dot tracking

Identifiers

PMID30153408
PMCPMC6411462

What OpenQuestion holds

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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.