Linked Life Data

17532885

Source:http://linkedlifedata.com/resource/pubmed/id/17532885

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2007-5-29
pubmed:abstractText
Human xenografts of acute myeloid leukemia (AML) in nonobese diabetic/severe combined immunodeficient (NOD/SCID) mice result in disease states of diffuse, nonpalpable tissue infiltrates exhibiting a variable disease course, with some animals not developing a disease phenotype. Thus, disease staging and, more critically, quantification of preclinical therapeutic effect in these models are particularly difficult. In this study, we present the generation of a green fluorescent protein (GFP)-labeled human leukemic cell line, NB4, and validate the potential of a time-domain imager fitted with a 470 nm picosecond pulsed laser diode to decouple GFP fluorescence from autofluorescence on the basis of fluorescence lifetime and thus determine the depth and relative concentration of GFP inclusions in phantoms of homogeneous and heterogeneous optical properties. Subsequently, we developed an optical imageable human xenograft model of NB4-GFP AML and illustrate early disease detection, depth discrimination of leukemic infiltrates, and longitudinal monitoring of disease course employing time-domain optical imaging. We conclude that early disease detection through use of time-domain imaging in this initially slowly progressing AML xenograft model permits accurate disease staging and should aid in future preclinical development of therapeutics for AML.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1535-3508
pubmed:author
pubmed:issnType
Print
pubmed:volume
6
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
193-204
pubmed:dateRevised
2011-4-7
pubmed:meshHeading
pubmed:articleTitle
In vivo optical imaging of acute myeloid leukemia by green fluorescent protein: time-domain autofluorescence decoupling, fluorophore quantification, and localization.
pubmed:affiliation
Institute of Medicine, Haematology Section, Haukeland University Hospital, University of Bergen, Bergen, Norway.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't