High-Content Micronucleus Assay in Genotoxicity Profiling: Initial-Stage Development and Some Applications in the Investigative/Lead-Finding Studies in Drug Discovery
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 hams...
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Veröffentlicht in: | Toxicological sciences 2010-11, Vol.118 (1), p.71-85 |
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creator | Mondal, Madhu S. Gabriels, Joseph McGinnis, Claudia Magnifico, Maria Marsilje, Thomas H. Urban, Laszlo Collis, Alan Bojanic, Dejan Biller, Scott A. Frieauff, Wilfried Martus, Hans-Joerg Suter, Willi Bentley, Philip |
description | 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 μM (negative up to the solubility limit of xx μM), 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. |
doi_str_mv | 10.1093/toxsci/kfq181 |
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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 μM (negative up to the solubility limit of xx μM), 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.</description><identifier>ISSN: 1096-6080</identifier><identifier>EISSN: 1096-0929</identifier><identifier>DOI: 10.1093/toxsci/kfq181</identifier><identifier>PMID: 20631060</identifier><language>eng</language><publisher>United States: Oxford University Press</publisher><subject>aneugens and clastogens ; Animals ; CHO Cells ; Cricetinae ; Cricetulus ; Drug Evaluation, Preclinical - methods ; Drug Industry - methods ; Drug-Related Side Effects and Adverse Reactions ; Gene Expression ; Gene Expression Profiling ; high-content micronucleus ; investigative genotoxicity ; lead optimization ; marketed drugs ; Micronucleus Tests ; Reproducibility of Results ; structure-genotoxicity</subject><ispartof>Toxicological sciences, 2010-11, Vol.118 (1), p.71-85</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c362t-7fd7012f66da43dd16c33d7e484247761932071b56301102f4c70e10298d16c53</citedby><cites>FETCH-LOGICAL-c362t-7fd7012f66da43dd16c33d7e484247761932071b56301102f4c70e10298d16c53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20631060$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mondal, Madhu S.</creatorcontrib><creatorcontrib>Gabriels, Joseph</creatorcontrib><creatorcontrib>McGinnis, Claudia</creatorcontrib><creatorcontrib>Magnifico, Maria</creatorcontrib><creatorcontrib>Marsilje, Thomas H.</creatorcontrib><creatorcontrib>Urban, Laszlo</creatorcontrib><creatorcontrib>Collis, Alan</creatorcontrib><creatorcontrib>Bojanic, Dejan</creatorcontrib><creatorcontrib>Biller, Scott A.</creatorcontrib><creatorcontrib>Frieauff, Wilfried</creatorcontrib><creatorcontrib>Martus, Hans-Joerg</creatorcontrib><creatorcontrib>Suter, Willi</creatorcontrib><creatorcontrib>Bentley, Philip</creatorcontrib><title>High-Content Micronucleus Assay in Genotoxicity Profiling: Initial-Stage Development and Some Applications in the Investigative/Lead-Finding Studies in Drug Discovery</title><title>Toxicological sciences</title><addtitle>Toxicol Sci</addtitle><description>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 μM (negative up to the solubility limit of xx μM), 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.</description><subject>aneugens and clastogens</subject><subject>Animals</subject><subject>CHO Cells</subject><subject>Cricetinae</subject><subject>Cricetulus</subject><subject>Drug Evaluation, Preclinical - methods</subject><subject>Drug Industry - methods</subject><subject>Drug-Related Side Effects and Adverse Reactions</subject><subject>Gene Expression</subject><subject>Gene Expression Profiling</subject><subject>high-content micronucleus</subject><subject>investigative genotoxicity</subject><subject>lead optimization</subject><subject>marketed drugs</subject><subject>Micronucleus Tests</subject><subject>Reproducibility of Results</subject><subject>structure-genotoxicity</subject><issn>1096-6080</issn><issn>1096-0929</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkUFv0zAUxyMEYmNw5Ip84xRqx4mdcKvabZ3UjUkdAnGxvPglM0vszHaq9Qvtc86hZRw5-en555-f3j9JPhL8heCKzoJ99LWe3TcPpCSvkuPYZCmusur1oWa4xEfJO-9_Y0wIw9Xb5CjDjBLM8HHytNLtXbqwJoAJ6FLXzpqx7mD0aO693CFt0DkYG7_RtQ47dO1soztt2q_owuigZZdugmwBLWELnR36ySONQhvbA5oPQ6drGbQ1flKFO4jPtuCDbmN3C7M1SJWeaaOiEm3CqDT8IZdubNFS-9puwe3eJ28a2Xn4cDhPku9npzeLVbr-dn6xmK_TmrIspLxRHJOsYUzJnCpFWE2p4pCXeZZzzkhFM8zJbcFo3AXOmrzmGGJRlRNb0JPk8947OPswxjFFH0eArpMG7OhFWTDOMC6y_5K8KEtacj450z0Zd-u9g0YMTvfS7QTBYspQ7DMU-wwj_-lgHm97UC_039D-CbUP8PhyL929YJzyQqx-_hLV1dX1DVv8EJf0Gd5hqtM</recordid><startdate>20101101</startdate><enddate>20101101</enddate><creator>Mondal, Madhu S.</creator><creator>Gabriels, Joseph</creator><creator>McGinnis, Claudia</creator><creator>Magnifico, Maria</creator><creator>Marsilje, Thomas H.</creator><creator>Urban, Laszlo</creator><creator>Collis, Alan</creator><creator>Bojanic, Dejan</creator><creator>Biller, Scott A.</creator><creator>Frieauff, Wilfried</creator><creator>Martus, Hans-Joerg</creator><creator>Suter, Willi</creator><creator>Bentley, Philip</creator><general>Oxford University Press</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7U7</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope></search><sort><creationdate>20101101</creationdate><title>High-Content Micronucleus Assay in Genotoxicity Profiling: Initial-Stage Development and Some Applications in the Investigative/Lead-Finding Studies in Drug Discovery</title><author>Mondal, Madhu S. ; Gabriels, Joseph ; McGinnis, Claudia ; Magnifico, Maria ; Marsilje, Thomas H. ; Urban, Laszlo ; Collis, Alan ; Bojanic, Dejan ; Biller, Scott A. ; Frieauff, Wilfried ; Martus, Hans-Joerg ; Suter, Willi ; Bentley, Philip</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c362t-7fd7012f66da43dd16c33d7e484247761932071b56301102f4c70e10298d16c53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>aneugens and clastogens</topic><topic>Animals</topic><topic>CHO Cells</topic><topic>Cricetinae</topic><topic>Cricetulus</topic><topic>Drug Evaluation, Preclinical - methods</topic><topic>Drug Industry - methods</topic><topic>Drug-Related Side Effects and Adverse Reactions</topic><topic>Gene Expression</topic><topic>Gene Expression Profiling</topic><topic>high-content micronucleus</topic><topic>investigative genotoxicity</topic><topic>lead optimization</topic><topic>marketed drugs</topic><topic>Micronucleus Tests</topic><topic>Reproducibility of Results</topic><topic>structure-genotoxicity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mondal, Madhu S.</creatorcontrib><creatorcontrib>Gabriels, Joseph</creatorcontrib><creatorcontrib>McGinnis, Claudia</creatorcontrib><creatorcontrib>Magnifico, Maria</creatorcontrib><creatorcontrib>Marsilje, Thomas H.</creatorcontrib><creatorcontrib>Urban, Laszlo</creatorcontrib><creatorcontrib>Collis, Alan</creatorcontrib><creatorcontrib>Bojanic, Dejan</creatorcontrib><creatorcontrib>Biller, Scott A.</creatorcontrib><creatorcontrib>Frieauff, Wilfried</creatorcontrib><creatorcontrib>Martus, Hans-Joerg</creatorcontrib><creatorcontrib>Suter, Willi</creatorcontrib><creatorcontrib>Bentley, Philip</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Toxicology Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><jtitle>Toxicological sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mondal, Madhu S.</au><au>Gabriels, Joseph</au><au>McGinnis, Claudia</au><au>Magnifico, Maria</au><au>Marsilje, Thomas H.</au><au>Urban, Laszlo</au><au>Collis, Alan</au><au>Bojanic, Dejan</au><au>Biller, Scott A.</au><au>Frieauff, Wilfried</au><au>Martus, Hans-Joerg</au><au>Suter, Willi</au><au>Bentley, Philip</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>High-Content Micronucleus Assay in Genotoxicity Profiling: Initial-Stage Development and Some Applications in the Investigative/Lead-Finding Studies in Drug Discovery</atitle><jtitle>Toxicological sciences</jtitle><addtitle>Toxicol Sci</addtitle><date>2010-11-01</date><risdate>2010</risdate><volume>118</volume><issue>1</issue><spage>71</spage><epage>85</epage><pages>71-85</pages><issn>1096-6080</issn><eissn>1096-0929</eissn><abstract>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 μM (negative up to the solubility limit of xx μM), 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.</abstract><cop>United States</cop><pub>Oxford University Press</pub><pmid>20631060</pmid><doi>10.1093/toxsci/kfq181</doi><tpages>15</tpages></addata></record> |
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subjects | aneugens and clastogens Animals CHO Cells Cricetinae Cricetulus Drug Evaluation, Preclinical - methods Drug Industry - methods Drug-Related Side Effects and Adverse Reactions Gene Expression Gene Expression Profiling high-content micronucleus investigative genotoxicity lead optimization marketed drugs Micronucleus Tests Reproducibility of Results structure-genotoxicity |
title | High-Content Micronucleus Assay in Genotoxicity Profiling: Initial-Stage Development and Some Applications in the Investigative/Lead-Finding Studies in Drug Discovery |
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