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Single-Cell Transcriptome Analysis of Developing and Regenerating Spiral Ganglion Neurons

Overview of attention for article published in Current Pharmacology Reports, August 2016
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Title
Single-Cell Transcriptome Analysis of Developing and Regenerating Spiral Ganglion Neurons
Published in
Current Pharmacology Reports, August 2016
DOI 10.1007/s40495-016-0064-z
Pubmed ID
Authors

Kelvin Y. Kwan

Abstract

The spiral ganglion neurons (SGNs) of the cochlea are essential for our ability to hear. SGN loss after exposure to ototoxic drugs or loud noise results in hearing loss. Pluripotent stem cell-derived and endogenous progenitor cell types have the potential to become SGNs and are cellular foundations for replacement therapies. Repurposing transcriptional regulatory networks to promote SGN differentiation from progenitor cells is a strategy for regeneration. Advances in the Fludigm C1 workflow or Drop-seq allow sequencing of single cell transcriptomes to reveal variability between cells. During differentiation, the individual transcriptomes obtained from single-cell RNA-seq can be exploited to identify different cellular states. Pseudotemporal ordering of transcriptomes describes the differentiation trajectory, allows monitoring of transcriptional changes and determines molecular barriers that prevent the progression of progenitors into SGNs. Analysis of single cell transcriptomes will help develop novel strategies for guiding efficient SGN regeneration.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 20%
Student > Ph. D. Student 5 17%
Student > Bachelor 4 13%
Professor 3 10%
Student > Doctoral Student 1 3%
Other 4 13%
Unknown 7 23%
Readers by discipline Count As %
Neuroscience 7 23%
Medicine and Dentistry 5 17%
Engineering 3 10%
Biochemistry, Genetics and Molecular Biology 2 7%
Immunology and Microbiology 1 3%
Other 2 7%
Unknown 10 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 02 August 2017.
All research outputs
#15,851,587
of 23,552,911 outputs
Outputs from Current Pharmacology Reports
#1
of 1 outputs
Outputs of similar age
#241,104
of 369,835 outputs
Outputs of similar age from Current Pharmacology Reports
#1
of 1 outputs
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