The use of Bayesian analysis of PCR-derived genomic DNA sequences to enable a biologically relevant interpretation of immunoglobulin variable region gene expression.
We analyzed by means of polymerase chain reactions (PCRs) and DNA sequencing techniques the immunoglobulin heavy chain variable region genes of bone marrow B lineage cells. We first formulated an explanatory model to guide understanding of the biological mechanisms determining both the size of the total available pool of relevant genes and clonal expansion following heavy chain gene rearrangement. We then followed Box's paradigm of criticism and estimation to interpret our experimental findings.
Department of Molecular and Experimental Medicine, Scripps Research Institute, La Jolla, CA 92037.
J A
JA
Koziol
D J
DJ
Decker
N E
NE
Boyle
N R
NR
Klinman
D001483:Base Sequence; D001499:Bayes Theorem; D001853:Bone Marrow / Q000276:immunology*; D004247:DNA / Q000737:chemistry; D015870:Gene Expression; D005803:Genes, Immunoglobulin; D006801:Humans; D007135:Immunoglobulin Variable Region / Q000235:genetics*; D008433:Mathematics; D008954:Models, Biological; D016133:Polymerase Chain Reaction
D007135:Immunoglobulin Variable Region; D004247:DNA