Linked Life Data

15144020

Source:http://linkedlifedata.com/resource/pubmed/id/15144020

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2004-5-17
pubmed:abstractText
We have developed a rigorous graph-theoretical algorithm for quantifying the shape properties of mutational lineage trees. We show that information about the dynamics of hypermutation and antigen-driven clonal selection during the humoral immune response is contained in the shape of mutational lineage trees deduced from the responding clones. Age and tissue related differences in the selection process can be studied using this method. Thus, tree shape analysis can be used as a means of elucidating humoral immune response dynamics in various situations.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
1044-6672
pubmed:author
pubmed:issnType
Print
pubmed:volume
9
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
233-43
pubmed:dateRevised
2008-11-20
pubmed:meshHeading
pubmed:year
2002
pubmed:articleTitle
The dynamics of germinal centre selection as measured by graph-theoretical analysis of mutational lineage trees.
pubmed:affiliation
Department of Immunobiology and Histopathology, GKT Medical School, London, UK. deborah.dunn-walters@kcl.ac.uk
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't