Annals of Indian Academy of Neurology
  Users Online: 178 Home | About the Journal | InstructionsCurrent Issue | Back IssuesLogin      Print this page Email this page  Small font size Default font size Increase font size
Ahead of Print

Insight into Neurodegenerative Disorder Using Melanocytes as a Model System

 School of Life Sciences, Jawaharlal Nehru University, New Delhi, India

Correspondence Address:
Shalini Yadav,
F-23, Indian Institute of Management Rohtak Management City, Southern Bypass NH 10, Near PTC Sunaria, Rohtak, Haryana - 124 001 India

Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/aian.AIAN_466_19

Background: Neural crest cells (NCCs) by responding to several signals and paracrine factors get differentiated into different lineages like peripheral nervous system (PNS), chondrocytes, myofibroblast, endocrine, melanocytes, etc., Melanocytes are pigment-producing cells that share a common origin, paracrine factors (Wnt, FGF, and BMP), and transcription factors (TFs) with the neurons of the nervous system. Objective: Neuronal model for neurodegenerative disorders are limited because of their nonhuman origin and transformation. In this review we propose the use melanocyte as a model system to study neurodegenerative studies. Method: Systematic Literature Review. Results: The similarity between neural crest-derived melanocytes and neurons, makes melanocyte an important model to study several neurodegenerative disorders like Alzheimer's disease and Parkinson's disorder. Conclusion: Melanocytes and neurons share common origin i.e. both arise from NCC and share identical signalling molecules and pathways. Neural crest-derived melanocytes can thus serve as a promising model system to study normal and pathological behaviour of less accessible neurons.

Print this article
 Table of Contents

  Search Pubmed for
    -  Yadav S
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded13    

Recommend this journal