4.3 Article Proceedings Paper

Genetics, Gene Expression and Bioinformatics of the Pituitary Gland

Journal

HORMONE RESEARCH
Volume 71, Issue -, Pages 101-115

Publisher

KARGER
DOI: 10.1159/000192447

Keywords

Apoptosis; Cell proliferation; Emx2; Prop1; Transcription factors

Funding

  1. EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT [R01HD030428, R01HD034283] Funding Source: NIH RePORTER
  2. EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH &HUMAN DEVELOPMENT [R37HD030428] Funding Source: NIH RePORTER
  3. Medical Research Council [MC_qA137918] Funding Source: researchfish
  4. MRC [MC_qA137918, G0300212] Funding Source: UKRI
  5. Medical Research Council [G0300212] Funding Source: Medline
  6. NICHD NIH HHS [R01 HD030428-07, R01 HD030428, R01 HD34283, R37 HD030428, R01 HD034283, HD R3730428] Funding Source: Medline
  7. Wellcome Trust Funding Source: Medline

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Genetic cases of congenital pituitary hormone deficiency are common and many are caused by transcription factor defects. Mouse models with orthologous mutations are invaluable for uncovering the molecular mechanisms that lead to problems in organ development and typical patient characteristics. We are using mutant mice defective in the transcription factors PROP1 and POU1F1 for gene expression profiling to identify target genes for these critical transcription factors and candidates for cases of pituitary hormone deficiency of unknown aetiology. These studies reveal critical roles for Wnt signalling pathways, including the TCF/LEF transcription factors and interacting proteins of the groucho family, bone morphogenetic protein antagonists and targets of notch signalling. Current studies are investigating the roles of novel homeobox genes and pathways that regulate the transition from proliferation to differentiation, cell adhesion and cell migration. Pituitary adenomas are a common human health problem, yet most cases are sporadic, necessitating alternative approaches to traditional Mendelian genetic studies. Mouse models of adenoma formation offer the opportunity for gene expression profiling during progressive stages of hyperplasia, adenoma and tumorigenesis. This approach holds promise for the identification of relevant pathways and candidate genes as risk factors for adenoma formation, understanding mechanisms of progression, and identifying drug targets and clinically relevant biomarkers. Copyright (C) 2009 S. Karger AG, Basel

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