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RET/GFRα Signals Are Dispensable for Thymic T Cell Development In Vivo

Overview of attention for article published in PLOS ONE, December 2012
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Title
RET/GFRα Signals Are Dispensable for Thymic T Cell Development In Vivo
Published in
PLOS ONE, December 2012
DOI 10.1371/journal.pone.0052949
Pubmed ID
Authors

Afonso Rocha Martins Almeida, Sílvia Arroz-Madeira, Diogo Fonseca-Pereira, Hélder Ribeiro, Reena Lasrado, Vassilis Pachnis, Henrique Veiga-Fernandes

Abstract

Identification of thymocyte regulators is a central issue in T cell biology. Interestingly, growing evidence indicates that common key molecules control neuronal and immune cell functions. The neurotrophic factor receptor RET mediates critical functions in foetal hematopoietic subsets, thus raising the possibility that RET-related molecules may also control T cell development. We show that Ret, Gfra1 and Gfra2 are abundantly expressed by foetal and adult immature DN thymocytes. Despite the developmentally regulated expression of these genes, analysis of foetal thymi from Gfra1, Gfra2 or Ret deficient embryos revealed that these molecules are dispensable for foetal T cell development. Furthermore, analysis of RET gain of function and Ret conditional knockout mice showed that RET is also unnecessary for adult thymopoiesis. Finally, competitive thymic reconstitution assays indicated that Ret deficient thymocytes maintained their differentiation fitness even in stringent developmental conditions. Thus, our data demonstrate that RET/GFRα signals are dispensable for thymic T cell development in vivo, indicating that pharmacological targeting of RET signalling in tumours is not likely to result in T cell production failure.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 4%
Portugal 1 4%
Unknown 25 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 26%
Student > Doctoral Student 4 15%
Researcher 4 15%
Student > Master 2 7%
Student > Bachelor 2 7%
Other 4 15%
Unknown 4 15%
Readers by discipline Count As %
Immunology and Microbiology 7 26%
Agricultural and Biological Sciences 6 22%
Biochemistry, Genetics and Molecular Biology 4 15%
Medicine and Dentistry 2 7%
Social Sciences 1 4%
Other 1 4%
Unknown 6 22%