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Modeling Human Neural Functionality In Vitro: Three-Dimensional Culture for Dopaminergic Differentiation

Overview of attention for article published in Tissue Engineering: Part A, November 2014
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Article details
Title
Modeling Human Neural Functionality In Vitro: Three-Dimensional Culture for Dopaminergic Differentiation
Published in
Tissue Engineering: Part A, November 2014
DOI 10.1089/ten.tea.2014.0079
Pubmed ID
Authors
Abstract

Advances in mechanistic knowledge of human neurological disorders have been hindered by the lack of adequate human <i>in vitro</i> models. 3D cellular models displaying higher biological relevance are gaining momentum, however, their lack of robustness and scarcity of analytical tools adapted to 3D hampers their widespread implementation. Herein we show that human midbrain-derived neural progenitor cells (hmNPC), cultured as 3D neurospheres in stirred culture systems, reproducibly differentiate into complex tissue-like structures containing functional dopaminergic neurons, as well as astrocytes and oligodendrocytes. Moreover, an extensive toolbox of analytical methodologies has been adapted to 3D neural cell models, allowing molecular and phenotypic profiling and interrogation. The generated neurons underwent synaptogenesis and elicit spontaneous Ca<sup>2+</sup> transients. Synaptic vesicle trafficking and release of dopamine in response to depolarizing stimuli was also observed. Under whole-cell current-and-voltage-clamp, recordings showed polarized neurons (Vm ≈-70 mV) and voltage-dependent potassium currents, which included A-type-like currents. Glutamate-induced currents sensitive to AMPA and NMDA antagonists revealed the existence of functional glutamate receptors. Molecular and phenotypic profiling showed recapitulation of midbrain patterning events, and remodeling towards increased similarity to human brain features such as ECM composition and metabolic signature. We have developed a robust and reproducible human 3D neural cell model, which may be extended to patient-derived iPSC, broadening the applicability of this model.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Portugal 2 2%
United Kingdom 1 1%
France 1 1%
Unknown 94 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 23 23%
Student > Master 15 15%
Researcher 14 14%
Student > Bachelor 9 9%
Student > Doctoral Student 8 8%
Other 15 15%
Unknown 14 14%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 25 26%
Biochemistry, Genetics and Molecular Biology 13 13%
Engineering 13 13%
Neuroscience 11 11%
Medicine and Dentistry 9 9%
Other 11 11%
Unknown 16 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 November 2015.
All research outputs
#24,116,787
of 34,400,738 outputs
Outputs from Tissue Engineering: Part A
#1,597
of 2,196 outputs
Outputs of similar age
#197,259
of 302,977 outputs
Outputs of similar age from Tissue Engineering: Part A
#37
of 49 outputs
Altmetric has tracked 34,400,738 research outputs across all sources so far. This one is in the 28th percentile – i.e., 28% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,196 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 302,977 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.