Profiling, bioinformatic, and functional data on the developing olfactory/GnRH system reveal cellular and molecular pathways essential for this process and potentially relevant for the Kallmann syndrome

Giulia Garaffo, Paolo Provero, Ivan Molineris, Patrizia Pinciroli, Clelia Peano, Cristina Battaglia, Daniela Tomaiuolo, Talya Etzion, Yoav Gothilf, Massimo Santoro, Giorgio R. Merlo

Research output: Contribution to journalArticle

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Abstract

During embryonic development, immature neurons in the olfactory epithelium (OE) extend axons through the nasal mesenchyme, to contact projection neurons in the olfactory bulb. Axon navigation is accompanied by migration of the GnRH+ neurons, which enter the anterior forebrain and home in the septo-hypothalamic area. This process can be interrupted at various points and lead to the onset of the Kallmann syndrome (KS), a disorder characterized by anosmia and central hypogonadotropic hypogonadism. Several genes has been identified in human and mice that cause KS or a KS-like phenotype. In mice a set of transcription factors appears to be required for olfactory connectivity and GnRH neuron migration; thus we explored the transcriptional network underlying this developmental process by profiling the OE and the adjacent mesenchyme at three embryonic ages. We also profiled the OE from embryos null for Dlx5, a homeogene that causes a KS-like phenotype when deleted. We identified 20 interesting genes belonging to the following categories: (1) transmembrane adhesion/receptor, (2) axon-glia interaction, (3) scaffold/adapter for signaling, (4) synaptic proteins. We tested some of them in zebrafish embryos: the depletion of five (of six) Dlx5 targets affected axonal extension and targeting, while three (of three) affected GnRH neuron position and neurite organization. Thus, we confirmed the importance of cell-cell and cell-matrix interactions and identified new molecules needed for olfactory connection and GnRH neuron migration. Using available and newly generated data, we predicted/prioritized putative KS-disease genes, by building conserved co-expression networks with all known disease genes in human and mouse. The results show the overall validity of approaches based on high-throughput data and predictive bioinformatics to identify genes potentially relevant for the molecular pathogenesis of KS. A number of candidate will be discussed, that should be tested in future mutation screens.

Original languageEnglish
Article numberArticle 203
JournalFrontiers in Endocrinology
Volume4
Issue numberDEC
DOIs
Publication statusPublished - 2013

Fingerprint

Kallmann Syndrome
Computational Biology
Gonadotropin-Releasing Hormone
Neurons
Olfactory Mucosa
Axons
Genes
Mesoderm
Embryonic Structures
Phenotype
Gene Regulatory Networks
Olfactory Bulb
Zebrafish
Neurites
Prosencephalon
Nose
Cell Communication
Neuroglia
Embryonic Development
Transcription Factors

Keywords

  • Disease gene prediction
  • Extracellular matrix
  • GnRH neuron
  • Kallmann syndrome
  • Olfactory development
  • Transcription profiling

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism

Cite this

Profiling, bioinformatic, and functional data on the developing olfactory/GnRH system reveal cellular and molecular pathways essential for this process and potentially relevant for the Kallmann syndrome. / Garaffo, Giulia; Provero, Paolo; Molineris, Ivan; Pinciroli, Patrizia; Peano, Clelia; Battaglia, Cristina; Tomaiuolo, Daniela; Etzion, Talya; Gothilf, Yoav; Santoro, Massimo; Merlo, Giorgio R.

In: Frontiers in Endocrinology, Vol. 4, No. DEC, Article 203, 2013.

Research output: Contribution to journalArticle

Garaffo, Giulia ; Provero, Paolo ; Molineris, Ivan ; Pinciroli, Patrizia ; Peano, Clelia ; Battaglia, Cristina ; Tomaiuolo, Daniela ; Etzion, Talya ; Gothilf, Yoav ; Santoro, Massimo ; Merlo, Giorgio R. / Profiling, bioinformatic, and functional data on the developing olfactory/GnRH system reveal cellular and molecular pathways essential for this process and potentially relevant for the Kallmann syndrome. In: Frontiers in Endocrinology. 2013 ; Vol. 4, No. DEC.
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AU - Molineris, Ivan

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AU - Battaglia, Cristina

AU - Tomaiuolo, Daniela

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