Williams' neural stem cells: New model for insight into microRNA dysregulation

Carmen Palacios-Reyes, Ana Espinosa, Alejandra Contreras, Rosa Ordonez, Alfredo Hidalgo-Miranda, Ivan Rubio-Gayosso, Patricia Garcia-Alonso, Gloria Benitez-King, Gerardo Ramirez-Rodriguez, Nayelli Najera, Israel Ita-Islas, Antonieta Araujo, Sandra Romero-Cordoba, Icela Palma

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Williams syndrome (WS) is a neurodevelopmental genetic disorder, due to a 7q11.23 hemizygous deletion. WS has a characteristic neurocognitive profile that includes intellectual disability (ID). Haploinsufficiency of some of the deleted genes is partially associated with the cognitive phenotype. The aim of this paper is to determine the differences in the microRNA (miRNA) expression in WS patients, using a neural cell model from the patient's olfactory neuroepithelium (ONE), and to establish the relationship with those genes involved in neurodevelopment and neural function. To assess these goals, we made a comparative analysis of the miRNAs expression profile between WS patients and controls. Through an in silico analysis, we established potential pathways and targets associated with neural tissue. The expression profile shows 14 dysregulated miRNAs, including nervous system (NS)-rich miRNAs such as miR-125b, let-7c and miR-200. Most of these miRNAs have potential targets associated with NS functions while others have been reported to have specific neuronal functions. These data suggest that miRNAs widely contribute to the regulation of neurodevelopmental intrinsic processes, and that specific miRNAs could participate in WS neurobiology.

Original languageEnglish
Pages (from-to)1057-1073
Number of pages17
JournalFrontiers in Bioscience - Elite
Volume5 E
Issue number3
StatePublished - 1 Jun 2013

Keywords

  • MicroRNA expression
  • Neural cell
  • Olfactory neuroepithelim
  • Williams syndrome

Fingerprint

Dive into the research topics of 'Williams' neural stem cells: New model for insight into microRNA dysregulation'. Together they form a unique fingerprint.

Cite this