Quantitative transcriptome and proteome maps of classical nonclinical species.

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Bibliographic Details
Title: Quantitative transcriptome and proteome maps of classical nonclinical species.
Authors: Oziolor E; Drug Safety Research and Development, Pfizer Inc., Groton, CT, USA., Xue L; Machine Learning and Computational Sciences, Pfizer Inc., Cambridge, MA, USA., Pelletier D; Drug Safety Research and Development, Pfizer Inc., Groton, CT, USA., Capunitan D; Drug Safety Research and Development, Pfizer Inc., Groton, CT, USA., Kimoto E; Pharmacokinetics, Dynamics and Metabolism, Pfizer Inc., Groton, USA., Federspiel JD; Drug Safety Research and Development, Pfizer Inc., Groton, CT, USA.; Drug Safety Research and Development, Pfizer, Inc, Andover, MA, USA., Sheehan M; Drug Safety Research and Development, Pfizer Inc., Groton, CT, USA., Arat S; Drug Safety Research and Development, Pfizer Inc., Groton, CT, USA., Newman L; Drug Safety Research and Development, Pfizer Inc., Groton, CT, USA., Lee G; Drug Safety Research and Development, Pfizer Inc., Groton, CT, USA., Qian J; Drug Safety Research and Development, Pfizer Inc., Groton, CT, USA., Kumpf S; Drug Safety Research and Development, Pfizer Inc., Groton, CT, USA., Lanz TA; Drug Safety Research and Development, Pfizer Inc., Groton, CT, USA., Martin M; Drug Safety Research and Development, Pfizer Inc., Groton, CT, USA. matthew.martin@pfizer.com., Mathialagan N; Drug Safety Research and Development, Pfizer Inc., Groton, CT, USA. nagappan.mathialagan@pfizer.com.
Source: Scientific data [Sci Data] 2026 May 30. Date of Electronic Publication: 2026 May 30.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2052-4463
DOI:10.1038/s41597-026-07512-9