Literature DB >> 15517993

Quantitative phenotyping as an efficient means to estimate C-cell number in a knock-in mouse model of MEN2B.

Aaron Cranston1, Louise Howard, C Vyvyan Howard.   

Abstract

Over the last two decades we have witnessed the generation of hundreds, if not thousands, of lines of genetically altered mice, large numbers of which are being produced in order to model human disease. Given that their creation is still rather technically demanding and labour intensive, the time taken analysing the resultant phenotypes should be such that the maximal amount of information can be gleaned efficiently in an unbiased manner so as to be as close to the 'true' value as possible. In an attempt to characterise a cell-specific phenotype in a genetically defined knock-in mouse model of multiple endocrine neoplasia type 2B (MEN2B) we used a modern, unbiased, stereological approach called the optical fractionator to estimate total cell number in 3-D space. By applying a sampling technique to tissue blocks in a systematic random uniform manner, we demonstrate that the total number of calcitonin-immunoreactive C-cells in the thyroid glands of littermate mice harbouring activating mutations in one or both alleles of ret does not vary significantly (p = 0.46) from an unbiased estimate of 23,000 in wild-type controls; likewise, neither does mean thyroid volume (p = 0.78) when estimated using Cavalieri's principle. We demonstrate that the variation associated with the quantitative phenotyping method is negligible. Using this efficient, unbiased stereological method our results provide new insights into cell number and positioning with consequences for both normal and disease states. In summary, this unbiased stereological technique is conceptually simple, can be applied efficiently, and is pertinent to quantitating a wide variety of cell phenotypes thereby bridging specialisation boundaries. We propose the adoption of this technique to mouse experimental geneticists and recommend its horizontal transmission across all fields within experimental biology.

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Year:  2004        PMID: 15517993     DOI: 10.1023/b:trag.0000040041.61863.20

Source DB:  PubMed          Journal:  Transgenic Res        ISSN: 0962-8819            Impact factor:   2.788


  27 in total

Review 1.  The hallmarks of cancer.

Authors:  D Hanahan; R A Weinberg
Journal:  Cell       Date:  2000-01-07       Impact factor: 41.582

Review 2.  The phenotypes associated with ret mutations in the multiple endocrine neoplasia type 2 syndrome.

Authors:  B A Ponder
Journal:  Cancer Res       Date:  1999-04-01       Impact factor: 12.701

Review 3.  GDNF family neurotrophic factor signaling: four masters, one servant?

Authors:  M S Airaksinen; A Titievsky; M Saarma
Journal:  Mol Cell Neurosci       Date:  1999-05       Impact factor: 4.314

4.  Unbiased stereological estimation of the total number of neurons in thesubdivisions of the rat hippocampus using the optical fractionator.

Authors:  M J West; L Slomianka; H J Gundersen
Journal:  Anat Rec       Date:  1991-12

5.  Germline mutation of RET codon 883 in two cases of de novo MEN 2B.

Authors:  D P Smith; C Houghton; B A Ponder
Journal:  Oncogene       Date:  1997-09-04       Impact factor: 9.867

6.  Estimation of the C-cell numbers in rat thyroid glands using the optical fractionator.

Authors:  R E Feinstein; E Westergren; E Bucht; H E Sjöberg; L Grimelius
Journal:  J Histochem Cytochem       Date:  1996-09       Impact factor: 2.479

7.  The multiple endocrine neoplasia type 2B point mutation alters long-term regulation and enhances the transforming capacity of the epidermal growth factor receptor.

Authors:  S D Pandit; H Donis-Keller; T Iwamoto; J M Tomich; L J Pike
Journal:  J Biol Chem       Date:  1996-03-08       Impact factor: 5.157

8.  Catalytic specificity of protein-tyrosine kinases is critical for selective signalling.

Authors:  Z Songyang; K L Carraway; M J Eck; S C Harrison; R A Feldman; M Mohammadi; J Schlessinger; S R Hubbard; D P Smith; C Eng
Journal:  Nature       Date:  1995-02-09       Impact factor: 49.962

9.  Molecular mechanisms of development of multiple endocrine neoplasia 2 by RET mutations.

Authors:  M Takahashi; N Asai; T Iwashita; H Murakami; S Ito
Journal:  J Intern Med       Date:  1998-06       Impact factor: 8.989

10.  Mechanism of activation of the ret proto-oncogene by multiple endocrine neoplasia 2A mutations.

Authors:  N Asai; T Iwashita; M Matsuyama; M Takahashi
Journal:  Mol Cell Biol       Date:  1995-03       Impact factor: 4.272

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  1 in total

Review 1.  Efficient quantitative morphological phenotyping of genetically altered organisms using stereology.

Authors:  John Milton Lucocq
Journal:  Transgenic Res       Date:  2006-11-14       Impact factor: 2.788

  1 in total

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