Literature DB >> 1979957

Analysis of gene-dosage effects on the expression of CD18 by trisomy 21 lymphoblastoid cell-lines using a statistical model to fit flow cytometry profiles.

W G Bardsley1, B P McMurray, A Robson, S D'Souza, G M Taylor.   

Abstract

It is not clear whether Down syndrome, the phenotypic expression of constitutional trisomy for chromosome 21 (T21), is the result of generalised disruption of homeostasis resulting from genetic imbalance, or the over-expression of specific genes on chromosome 21. In order to understand the effect of gene dosage more clearly, we have analysed the predicted and actual levels of expression of the leucocyte integrin beta subunit CD 18 on the surface of T21 leucocytes. Previous studies showed that CD18 expression by T21 lymphoid cell lines (LCL) is greater than on normal LCL. We have now developed a computer model that compares the observed and predicted CD18 flow cytometric profiles for trisomy 21 LCL. Three parameters (alpha, beta and gamma) have been defined that measure different aspects of gene dosage. Using the computer model to calculate these parameters, we have carried out a series of paired comparisons between normal and T21 LCL. The results show that, in some T21 LCL, increased CD18 expression is proportional to the existing gene dosage, in another set the effect is additive, whereas in others there is a combination of proportional and additive effects. The results suggest that gene regulation can exert pleiotropic effects on gene-dosage, and is consistent with a model in which gene dosage itself is the cause of disrupted homeostasis.

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Year:  1990        PMID: 1979957     DOI: 10.1007/bf00197702

Source DB:  PubMed          Journal:  Hum Genet        ISSN: 0340-6717            Impact factor:   4.132


  17 in total

1.  Modified histogram subtraction technique for analysis of flow cytometry data.

Authors:  W R Overton
Journal:  Cytometry       Date:  1988-11

2.  Phosphofructokinase activity in fibroblasts aneuploid for chromosome 21.

Authors:  K G Annerén; J R Korenberg; C J Epstein
Journal:  Hum Genet       Date:  1987-05       Impact factor: 4.132

3.  The use of non-linear regression analysis and the F test for model discrimination with dose-response curves and ligand binding data.

Authors:  W G Bardsley; P B McGinlay
Journal:  J Theor Biol       Date:  1987-05-21       Impact factor: 2.691

Review 4.  Down syndrome--a disruption of homeostasis.

Authors:  B L Shapiro
Journal:  Am J Med Genet       Date:  1983-02

5.  Analysis of protein patterns in two-dimensional gels of cultured human cells with trisomy 21.

Authors:  J Klose; E Zeindl; K Sperling
Journal:  Clin Chem       Date:  1982-04       Impact factor: 8.327

6.  Monoclonal antibodies to CD18 and CD11A (LFA-1) distinguish Down's syndrome (trisomy 21) from normal lymphoblastoid cells.

Authors:  A J Robson; G M Taylor; S W D'Souza
Journal:  Dis Markers       Date:  1989 Jul-Sep       Impact factor: 3.434

7.  Heterogeneous mutations in the beta subunit common to the LFA-1, Mac-1, and p150,95 glycoproteins cause leukocyte adhesion deficiency.

Authors:  T K Kishimoto; N Hollander; T M Roberts; D C Anderson; T A Springer
Journal:  Cell       Date:  1987-07-17       Impact factor: 41.582

8.  Inherited deficiency of the Mac-1, LFA-1, p150,95 glycoprotein family and its molecular basis.

Authors:  T A Springer; W S Thompson; L J Miller; F C Schmalstieg; D C Anderson
Journal:  J Exp Med       Date:  1984-12-01       Impact factor: 14.307

9.  Dosage effects for superoxide dismutase-1 in nucleated cells aneuploid for chromosome 21.

Authors:  W W Feaster; L W Kwok; C J Epstein
Journal:  Am J Hum Genet       Date:  1977-11       Impact factor: 11.025

10.  Chromosomal location of the genes encoding the leukocyte adhesion receptors LFA-1, Mac-1 and p150,95. Identification of a gene cluster involved in cell adhesion.

Authors:  A L Corbi; R S Larson; T K Kishimoto; T A Springer; C C Morton
Journal:  J Exp Med       Date:  1988-05-01       Impact factor: 14.307

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  2 in total

1.  Trisomy 3 is not a common feature in malignant lymphomas of mucosa-associated lymphoid tissue type.

Authors:  G Ott; J Kalla; A Steinhoff; A Rosenwald; T Katzenberger; U Roblick; M M Ott; H K Müller-Hermelink
Journal:  Am J Pathol       Date:  1998-09       Impact factor: 4.307

2.  A statistical theory for flow cytometry profiles in terms of the binding of ligands to cell surface receptors and changes in gene expression.

Authors:  W G Bardsley; E K Kyprianou
Journal:  J Math Biol       Date:  1996       Impact factor: 2.259

  2 in total

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