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Penetration of toxic shock syndrome toxin-1 across porcine vaginal mucosa ex vivo: permeability characteristics, toxin distribution, and tissue damage.
Davis CC, Kremer MJ, Schlievert PM, Squier CA. Davis CC, et al. Am J Obstet Gynecol. 2003 Dec;189(6):1785-91. doi: 10.1016/s0002-9378(03)00873-1. Am J Obstet Gynecol. 2003. PMID: 14710116
Use of porcine vaginal tissue ex-vivo to model environmental effects on vaginal mucosa to toxic shock syndrome toxin-1.
Davis CC, Baccam M, Mantz MJ, Osborn TW, Hill DR, Squier CA. Davis CC, et al. Toxicol Appl Pharmacol. 2014 Jan 15;274(2):240-8. doi: 10.1016/j.taap.2013.11.021. Epub 2013 Dec 10. Toxicol Appl Pharmacol. 2014. PMID: 24333258
Staphylococcus aureus exotoxins are present in vivo in tampons.
Schlievert PM, Nemeth KA, Davis CC, Peterson ML, Jones BE. Schlievert PM, et al. Clin Vaccine Immunol. 2010 May;17(5):722-7. doi: 10.1128/CVI.00483-09. Epub 2010 Mar 24. Clin Vaccine Immunol. 2010. PMID: 20335433 Free PMC article.
Machine Learning Using Digitized Herbarium Specimens to Advance Phenological Research.
Pearson KD, Nelson G, Aronson MFJ, Bonnet P, Brenskelle L, Davis CC, Denny EG, Ellwood ER, Goƫau H, Heberling JM, Joly A, Lorieul T, Mazer SJ, Meineke EK, Stucky BJ, Sweeney P, White AE, Soltis PS. Pearson KD, et al. Among authors: davis cc. Bioscience. 2020 Jul 1;70(6):610-620. doi: 10.1093/biosci/biaa044. Epub 2020 May 13. Bioscience. 2020. PMID: 32665738 Free PMC article.
Freezing and water availability structure the evolutionary diversity of trees across the Americas.
Segovia RA, Pennington RT, Baker TR, Coelho de Souza F, Neves DM, Davis CC, Armesto JJ, Olivera-Filho AT, Dexter KG. Segovia RA, et al. Among authors: davis cc. Sci Adv. 2020 May 6;6(19):eaaz5373. doi: 10.1126/sciadv.aaz5373. eCollection 2020 May. Sci Adv. 2020. PMID: 32494713 Free PMC article.
Device-Associated Menstrual Toxic Shock Syndrome.
Schlievert PM, Davis CC. Schlievert PM, et al. Among authors: davis cc. Clin Microbiol Rev. 2020 May 27;33(3):e00032-19. doi: 10.1128/CMR.00032-19. Print 2020 Jun 17. Clin Microbiol Rev. 2020. PMID: 32461307 Review.
Machine learning predicts large scale declines in native plant phylogenetic diversity.
Park DS, Willis CG, Xi Z, Kartesz JT, Davis CC, Worthington S. Park DS, et al. Among authors: davis cc. New Phytol. 2020 Sep;227(5):1544-1556. doi: 10.1111/nph.16621. Epub 2020 May 28. New Phytol. 2020. PMID: 32339295
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