Evidence map›Paper›PMID 29094302›Full record

ArticleBrain structure & function2018

Morphological determinants of dendritic arborization neurons in Drosophila larva.

Sumit Nanda, Ravi Das, Shatabdi Bhattacharjee, Daniel N Cox, Giorgio A Ascoli

Abstract read
In one paragraph

Article in Brain structure & function, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–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

18 citing papers in PubMed.

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  17. Article
  18. Homeostatic Roles of the Proteostasis Network in Dendrites.Frontiers in cellular neuroscience · 2020
    Review
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.

Sumit NandaCenter for Neural Informatics, Structures, and Plasticity, Krasnow Institute for Advanced Study, George Mason University, Fairfax, VA, USA.
Ravi DasNeuroscience Institute, Georgia State University, Atlanta, GA, USA.
Shatabdi BhattacharjeeNeuroscience Institute, Georgia State University, Atlanta, GA, USA.
Daniel N CoxNeuroscience Institute, Georgia State University, Atlanta, GA, USA.
Giorgio A AscoliCenter for Neural Informatics, Structures, and Plasticity, Krasnow Institute for Advanced Study, George Mason University, Fairfax, VA, USA. ascoli@gmu.edu.

Funding

Resource Component: Acquisition, maintenance and distribution of Drosophila stocksP40OD018537 · OD · TRUSTEES OF INDIANA UNIVERSITY · PI Annette L. Parks · 2014 to 2026
$13.5M
Generation and Description of Neuronal Morphology and ConnectivityR01NS039600 · NINDS · GEORGE MASON UNIVERSITY · PI ASCOLI, GIORGIO A · 1999 to 2024
$6.9M
Cytoskeletal mechanisms of dendrite arbor shape developmentR01NS086082 · NINDS · GEORGIA STATE UNIVERSITY · PI ASCOLI, GIORGIO A, COX, DANIEL N · 2013 to 2023
$3.1M
Georgia State University Initiative for Maximizing Student DevelopmentR25GM109442 · NIGMS · GEORGIA STATE UNIVERSITY · PI COX, DANIEL N, FRANTZ, KYLE J. · 2016 to 2020
$1.0M
Investigating the Molecular Bases of Class-Specific Dendrite MorphogenesisR15MH086928 · NIMH · GEORGE MASON UNIVERSITY · PI COX, DANIEL N · 2009 to 2012
$649k
Foundation for the National Institutes of Health MH086928National Science Foundation BCS1663755National Science Foundation DBI1546335NIGMS NIH HHS R25 GM109442NIH HHS NS39600NIH HHS P40 OD018537NIMH NIH HHS R15 MH086928NINDS NIH HHS NS086082NINDS NIH HHS R01 NS039600NINDS NIH HHS R01 NS086082
6 · The paper itself

Abstract

Pairing in vivo imaging and computational modeling of dendritic arborization (da) neurons from the fruit fly larva provides a unique window into neuronal growth and underlying molecular processes. We image, reconstruct, and analyze the morphology of wild-type, RNAi-silenced, and mutant da neurons. We then use local and global rule-based stochastic simulations to generate artificial arbors, and identify the parameters that statistically best approximate the real data. We observe structural homeostasis in all da classes, where an increase in size of one dendritic stem is compensated by a reduction in the other stems of the same neuron. Local rule models show that bifurcation probability is determined by branch order, while branch length depends on path distance from the soma. Global rule simulations suggest that most complex morphologies tend to be constrained by resource optimization, while simpler neuron classes privilege path distance conservation. Genetic manipulations affect both the local and global optimal parameters, demonstrating functional perturbations in growth mechanisms.

Indexed as

Models, NeurologicalAnimalsAnimals, Genetically ModifiedComputer SimulationDrosophilaDrosophila ProteinsGreen Fluorescent ProteinsLarvaMutationNeuronal PlasticityNeuronsRNA InterferenceDrosophila ProteinsGreen Fluorescent ProteinsComputational modelingConfocal microscopyMolecular neurogeneticsMorphological reconstructionsNeuronal development

Identifiers

PMID29094302
PMCPMC7155954

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.