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Use of connectivity mapping to support read across: A deeper dive using data from 186 chemicals, 19 cell lines and 2 case studies.

Authors:
K Nadira De Abrew Yuqing K Shan Xiaohong Wang Jesse M Krailler Raghunandan M Kainkaryam Cathy C Lester Raja S Settivari Matthew J LeBaron Jorge M Naciff George P Daston

Toxicology 2019 07 21;423:84-94. Epub 2019 May 21.

Mason Business Center, The Procter & Gamble Company, Cincinnati, OH, 45040, USA.

We previously demonstrated that the Connectivity Map (CMap) (Lamb et al., 2006) concept can be successfully applied to a predictive toxicology paradigm to generate meaningful MoA-based connections between chemicals (De Abrew et al., 2016). Here we expand both the chemical and biological (cell lines) domain for the method and demonstrate two applications, both in the area of read across. In the first application we demonstrate CMap's utility as a tool for testing biological relevance of source chemicals (analogs) during a chemistry led read across exercise. In the second application we demonstrate how CMap can be used to identify functionally relevant source chemicals (analogs) for a structure of interest (SOI)/target chemical with minimal knowledge of chemical structure. Finally, we highlight four factors: promiscuity of chemical, dose, cell line and timepoint as having significant impact on the output. We discuss the biological relevance of these four factors and incorporate them into a work flow.

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http://dx.doi.org/10.1016/j.tox.2019.05.008DOI Listing
July 2019

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