High Throughput Discovery at the Nano/Bio interface for Risk Assessment and Nano EHS Decision Making André Nel M.B.,Ch.B; Ph.D Professor of Medicine and Chief of the Division of NanoMedicine at UCLA Director of the NSF‐ and EPA‐funded Center for the Environmental Implications of Nanotechnology (UC CEIN) Director of the NIEHS‐funded Center for NanoBiology and Predictive Toxicology This materials is based on work supported by the National Science Foundation and Environmental Protection Agency under Cooperative Agreement # NSF‐EF0830117. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation or the Environmental Protection Agency. Copyright 2010 – The Regents of the University of California. All Rights Reserved. Contact [email protected]to obtain permission to use copyrighted material. NSF: DBI ‐0830117
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High Throughput Discovery at the Nano/Bio interface for
Risk Assessment and Nano EHS Decision Making
André Nel M.B.,Ch.B; Ph.DProfessor of Medicine and Chief of the Division of NanoMedicine at UCLA
Director of the NSF‐ and EPA‐funded Center for the Environmental Implications of Nanotechnology (UC CEIN)
Director of the NIEHS‐funded Center for NanoBiology and Predictive Toxicology
This materials is based on work supported by the National Science Foundation and Environmental Protection Agency under Cooperative Agreement # NSF‐EF0830117. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation or the Environmental Protection Agency.
Copyright 2010 – The Regents of the University of California. All Rights Reserved. Contact [email protected] to obtain permission to use copyrighted material.
NSF: DBI ‐0830117
• Provide wide coverage of potential toxicants• Use a robust scientific platform for testing (instead of a
descriptive approach in whole animals) • Predictive in vitro tests that utilize toxicity pathways and
mechanistic systems biology approaches• High content or high throughput screening to facilitate testing
of large batches of materials• In vitro hazard to be confirmed
in vivo
US National Academy of Science’s Transformative Approach to Toxicity
testing in the 21st Century
http://www.nap.edu/catalog.php?record_id=11970
-
In Vivo Adverse Outcomes
Validity ofpredictions
QSARs
• mechanism of injury• toxicological pathway
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Validity ofpredictions
ENM Library physicochemical
propertiesValidity
QSARs
toxicological pathway
(102 observations days-months)
(102 – 105 observations per day)
Cellular or Bio-molecularEndpoints
Data acquisition, transformationFeature analysisIn silico decision making toolsIncremental learning ,
Multimedia Analysis
In vivo screening-Organisms, populations,mesocosms