Source:http://linkedlifedata.com/resource/pubmed/id/20631060
Switch to
Predicate | Object |
---|---|
rdf:type | |
lifeskim:mentions | |
pubmed:issue |
1
|
pubmed:dateCreated |
2010-10-15
|
pubmed:abstractText |
This article describes the first step toward full (that includes conditions for both absence and presence of metabolic activation) validation and drug discovery application of a 96-well, automated, high-content micronucleus (HCMN) assay. The current validation tests were performed using Chinese hamster ovary cells, in the absence of metabolic activation, against three distinct sets of drug-like compounds that represent all stages of a drug discovery pipeline. A compound categorization scheme was created based on quantitative relationships between micronucleus (MN) signals, cytotoxicity, and compound solubility. Results from initial validation compounds (n = 38) set the stage for differentiating overall positive and negative MN inducers. To delve deeper into the compound categorization process, a more extensive validation set, consisting of a larger set (n = 370) of "drug-like but less optimized" early-stage compounds, was used for further refinement of positive and negative compound categories. The predictivity and applicability of the assay for clinical stage compounds was ascertained using (n = 168) clinically developed marketed drugs or well-studied compounds. Upon full validation, a detailed analysis of results established five compound categories--NEG (negative), NEG/xx ?M (negative up to the solubility limit of xx ?M), WPOS (weak positive), POS (positive), and INCON (inconclusive). Furthermore, examples of lead-finding applications and ongoing investigative HCMN activities are described. A proposal is offered on how the HCMN assay can be positioned in parallel to the overall stage gates (e.g., scaffold selection, lead optimization, late-stage preclinical development) of drug discovery programs. Because of its greater throughput, 1-week turnaround time, and a substantially reduced (1-2 mg) requirement for compound consumption, the HCMN assay is appropriate for developing structure-genotoxicity relationships and for mechanistic genotoxicity studies. The assay does not replace the Organization for Economic Cooperation and Development-compliant, non-good laboratory practice in vitro MN test (e.g., slide-based MN test in TK6 lymphoblastoid cells) that is used for full characterization of lead candidates.
|
pubmed:language |
eng
|
pubmed:journal | |
pubmed:citationSubset |
IM
|
pubmed:chemical | |
pubmed:status |
MEDLINE
|
pubmed:month |
Nov
|
pubmed:issn |
1096-0929
|
pubmed:author |
pubmed-author:BentleyPhilipP,
pubmed-author:BillerScott ASA,
pubmed-author:BojanicDejanD,
pubmed-author:CollisAlanA,
pubmed-author:FrieauffWilfriedW,
pubmed-author:GabrielsJosephJ,
pubmed-author:MagnificoMariaM,
pubmed-author:MarsiljeThomas HTH,
pubmed-author:MartusHans-JoergHJ,
pubmed-author:McGinnisClaudiaC,
pubmed-author:MondalMadhu SMS,
pubmed-author:SuterWilliW,
pubmed-author:UrbanLaszloL
|
pubmed:issnType |
Electronic
|
pubmed:volume |
118
|
pubmed:owner |
NLM
|
pubmed:authorsComplete |
Y
|
pubmed:pagination |
71-85
|
pubmed:meshHeading |
pubmed-meshheading:20631060-Animals,
pubmed-meshheading:20631060-CHO Cells,
pubmed-meshheading:20631060-Cricetinae,
pubmed-meshheading:20631060-Cricetulus,
pubmed-meshheading:20631060-Drug Evaluation, Preclinical,
pubmed-meshheading:20631060-Drug Industry,
pubmed-meshheading:20631060-Drug Toxicity,
pubmed-meshheading:20631060-Gene Expression,
pubmed-meshheading:20631060-Gene Expression Profiling,
pubmed-meshheading:20631060-Micronucleus Tests,
pubmed-meshheading:20631060-Pharmaceutical Preparations,
pubmed-meshheading:20631060-Reproducibility of Results
|
pubmed:year |
2010
|
pubmed:articleTitle |
High-content micronucleus assay in genotoxicity profiling: initial-stage development and some applications in the investigative/lead-finding studies in drug discovery.
|
pubmed:affiliation |
Preclinical Safety Profiling, CPC, Novartis Institutes of Biomedical Research, Inc., Cambridge, Massachusetts 02139, USA. madhu.mondal@novartis.com
|
pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
|