Skip Navigation

This Article
Right arrow Print PDF (2314K)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Commercial Re-use Guidelines
for Open Access NAR Content
Google Scholar
Right arrow Articles by Spanakis, E.
Right arrow Articles by Brouty-Boyé, D.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Spanakis, E.
Right arrow Articles by Brouty-Boyé, D.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Nucleic Acids Research, 1994, Vol. 22, No. 5 799-806
© 1994

COMPUTATIONAL BIOLOGY

Evaluation of quantitative variation in gene expression

Emmanuel Spanakis* and Danièle Brouty-Boyé

Institut d'Oncologie Cellulaire et Moléculaire Humaine 129 rue de Stalingrad, F-93000 Bobigny, France

*To whom correspondence should be addressed

Received November 18, 1993. Revised January 28, 1994. Accepted January 28, 1994.

We investigate the behaviour of the gene-expression rate as a statistical variable using autoradlographlc data for 39 transcripts from a heterogeneous set of 80 breast-tissue cultures. Despite standardization, the data distributions of all transcripts showed intervals of normality and intervals of systematic departure from normality which most frequently resulted in a significant skewness and/or kurtosis. Non-normal shapes are attributed to modulation of gene expression. This statistical particularity creates difficulties in the evaluation of differences among specimens. Using classical parametric and non-parametric procedures for normal and non-normal variation, respectively, we demonstrate that large differences in optical density are neither necessary nor sufficient for associating expression rates with biological factors. The transcripts coding for the metalloprotease stromelysln-3 (ST3) and for the receptor to Insulin-like growth factors (IGFR) are used as examples and their variation is presented in detail. ST3 expression appeared to be specifically associated with mammary stroma fibroblasts derived from postradiation flbrosls lesions. IGFR was expressed at higher rates in mammary gland and skin fibroblasts than in mammary epithelial cells and was subject to frequent and strong modulation.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
 Cancer Res.Home page
E. A. Triano, L. B. Slusher, T. A. Atkins, J. T. Beneski, S. A. Gestl, R. Zolfaghari, R. Polavarapu, E. Frauenhoffer, and J. Weisz
Class I Alcohol Dehydrogenase Is Highly Expressed in Normal Human Mammary Epithelium but not in Invasive Breast Cancer: Implications for Breast Carcinogenesis
Cancer Res., June 15, 2003; 63(12): 3092 - 3100.
[Abstract] [Full Text] [PDF]

Home page
 Proc. Natl. Acad. Sci. USAHome page
R. B. White, J. A. Eisen, T. L. Kasten, and R. D. Fernald
Second gene for gonadotropin-releasing hormone in humans
PNAS, January 6, 1998; 95(1): 305 - 309.
[Abstract] [Full Text] [PDF]


Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.