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Noonan syndrome: lessons learned from genetically modified mouse models.

Alberto J Schuhmacher1, Isabel Hernández-Porras2, Raquel García-Medina2

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|July 31, 2018
PubMed
Summary

Genetically engineered mouse models (GEMMs) aid in understanding Noonan syndrome, a RASopathy caused by RAS/MAPK pathway mutations. Further research on GEMMs is crucial for developing effective treatments and understanding genotype-phenotype correlations.

Keywords:
Noonan syndromeRAS/MAPK pathwayRASopathiesgenetic engineered mouse models (GEMMs)genotype phenotype correlations

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Area of Science:

  • Genetics
  • Molecular Biology
  • Developmental Biology

Background:

  • Noonan syndrome is a RASopathy characterized by activating mutations in the RAS/MAPK signaling pathway.
  • Mutations in genes like PTPN11, SOS1, RAF1, and KRAS lead to diverse clinical symptoms including cardiopathies and neurocognitive impairment.
  • The genetic variability complicates genotype-phenotype correlation and patient management.

Purpose of the Study:

  • To review studies utilizing genetically engineered mouse models (GEMMs) for Noonan syndrome research.
  • To assess the contribution of GEMMs in understanding the syndrome's genetic basis and phenotypic manifestations.
  • To identify gaps in current research and suggest future directions for GEMM development and application.

Main Methods:

  • Review of existing literature on genetically engineered mouse models (GEMMs) for Noonan syndrome.
  • Analysis of studies detailing the genetic mutations and resulting phenotypes in these models.
  • Evaluation of the utility of GEMMs in elucidating disease mechanisms.

Main Results:

  • GEMMs have been instrumental in understanding the roles of specific genes and mutations in Noonan syndrome development.
  • Existing models have provided insights into the phenotypic spectrum associated with RAS/MAPK pathway alterations.
  • The development of new models through next-generation sequencing is expanding the understanding of rare mutations.

Conclusions:

  • GEMMs are valuable tools for studying Noonan syndrome, offering insights into gene function and mutation effects.
  • Further characterization of existing GEMMs is needed to fully understand phenotypic modifiers and cancer risks.
  • Developing and refining GEMMs is essential for advancing preventative and therapeutic strategies for Noonan syndrome.