“A Droplet Digital PCR (ddPCR) and Recombinase Polymerase Amplification (RPA) with Propidium Monoazide (PMAxx) for the Detection of Viable Burkholderia cepacia Complex in Nuclease Free Water and Antiseptics” |
S. Daddy Gaoh, O. Kweon, and Y. Ahn. |
“A Modified Approach of Fluoro-Jade C Labeling for Neurotoxicity Assessments” |
Q. Gu, S. Sarkar, J. Raymick, and J. Kanungo |
“Assessing the Developmental Effects of Fentanyl (Anesthetics/Analgesics) Using Neural Stem Cell Models” |
C. Wang, L. Latham, S. Liu, and F. Liu |
“Assessing the Developmental Neurotoxicity of Perinatal Exposure to Cannabidiol in Sprague Dawley Rats” |
W.D. Gill, A. Shen, C. Law, S. Burks, B. Robinson, and T. Flanigan |
“Assessment of a Modified Sandwich Estimator for Generalized Estimating Equations with Application to Opioid Poisoning in MIMIC-IV ICU Patients” |
P. Rogers |
“CANcer Variant Allele Sequencing (CANVAS): A computational pipeline for the quantitation of ultra-low frequency hotspot mutations in myeloid neoplasm-associated genes via targeted error-corrected sequencing of human peripheral blood DNA” |
P. McKinzie, J. Faske, L. Lyn-Cook Jr., and M. Myers |
“CarcSeq detection of a dose- and time-dependent induction of a cancer driver mutation in the mammary DNA of lorcaserin-treated rats” |
J. Faske, M. Bryant, M. Myers, X. He, F McLellen, and B. Parsons |
“Cardiotoxicity Assessment of HESI Reference Compounds Using HiP-SC-CMs” |
P. Bagam and L. Pang |
“Comparative pharmacokinetics of Zileuton’s active pharmaceutical ingredient, nanocrystal-drug, and physical mixture in male and female Sprague Dawley rats” |
C. Mohan Reddy Muthumula, B. Wickramaratne, S. Khare, and G. Kuppan |
“Concentration-dependent proteome response of a strong biofilm producer S. epidermidis RP62A to subinhibitory tigecycline” |
K. Sung, M. Park, S. Khan, A. Shen, and A. Paredes |
“Cytokine Mediated Chemotherapy Induced Cognitive Impairment in Cisplatin and Methotrexate Treated Sprague-Dawley Rats” |
J. Yeary, M.C. Fogle, S. Burks, J. Talpos, and
X. Zhang |
“DeepAmes: Deep learning-powered Ames test predictive models for regulatory application by harnessing a comprehensive and consistent dataset” |
T. Li, Z. Liu, and W. Tong |
“Detection of SARS-CoV-2 Variants in Wastewater in Two Metropolitan Areas of Arkansas” |
C. Silva, V. Tryndyak, L. Camacho, L. Mullis, and M. Azevedo |
“Direct Detection and Identification of Viruses in Saliva in Real-Time Using a SpecID™ Mass Spectrometer” |
D. Buzatu and M. Azevedo |
“Evaluation of plasma proteome and miRNA changes related to COVID-19 patient severity response” |
R. Beger, L.-R. Yu, T. Han, V. Vijay, L. Pence, J. Sun, M. Bidarimath, T. Schmitt, K. Mercer, E. Masters, and J. Hawes |
“Examination of the Effect of Black Cohosh on the Efficacy of Risedronate on Bone Mineral Density in an Ovariectomized Rat Model” |
E. Masters, A. Inselman, J. Moore, R. Beger,
B. Delclos, L. Camacho, M. Vanlandingham, D. Sloper, N. Nakamura, G. Gamboa Da Costa, K. Woodling, M. Bryant, R. Trbojevich, Q. Wu, F. McLellan, and D. Hansen |
“Gene expression changes predict the severity of NAFLD-like liver injury in male Collaborative Cross mice” |
V. Tryndyak, R. Willett, S. Nagumalli, F. Beland, and I. Pogribny |
“Genotoxicity assessment of eight nitrosamine impurities using 2D and 3D in vitro human HepaRG models” |
J.-E. Seo, J. Yu, N. Mei, R. Heflich, and X. Guo |
“Inorganic arsenic alters the development of dopaminergic neurons but not serotonergic neurons and induces motor neuron development via Sonic hedgehog pathway in zebrafish” |
J. Kanungo, N. Twaddle, C. Silva, B. Robinson, Q. Gu, and F. Beland |
“Lessons learnt in establishing a reliable and low-cost assay for urea production in human primary hepatocytes cultured in a Liver-Chip for the study of drug hepatotoxicity” |
Q. Shi, L. Ren, K. Papineau, D. Mendrick, J. Hawes, and L. Schnackenberg |
“MALDI imaging mass spectrometry of mouse fetuses to assess markers of neural tube defects after maternal opioid exposure” |
D. Barnette, E.E. Jones, R.D. Beger, P.R. Kaldhone, and A. Inselman |
“MALDI IMS identified changes in lipids and metabolites in rat brains following arsenic exposure” |
E.E. Jones, L. Schnackenberg, D. Barnette, R.D. Beger, A. Shen, and T. Flanigan |
“Metabolomics Evaluation of the Impact of Violet-Blue Light (405 nm) on Platelet Concentrate” |
J. Sun, T. Schmitt, and R. Beger |
“Seroprevalence of a novel human canine coronavirus in Arkansas” |
M. Azevedo, L. Mullis, S. Nho, and B. Erickson |
“Sex-based differences in inflammasome activation due to silver nanoparticles” |
B. Canup, P. Rogers, B. Lyn-Cook, and T. Fahmi |
“T2-MRI mapping as a minimally-invasive correlate of central nervous system (CNS) toxicity in a cuprizone-model: A biomarker study” |
S. Imam, K. Ball, N. Sadovova, J. Raymick, B. Robinson, T. Patterson, and S. Liachenko |
“The development of an in vitro qPCR assay to detect and quantify HCoV-NL-63” |
M. Rumman, S. Nho, S. Johnson, M. Azevedo, L., D. Wagner, and K. Feye |
“The Neurotoxic Potential of a Single Dose of Ketamine in Adolescent and Adult Rats” |
S. Sarkar, G. Gamboa de Costa, M. Vanlandingham, K. Woodling, and J. Talpos |
“The plasmid puzzle: challenges for Salmonella monitoring” |
K. Feye, D. Sopovski, J. Revollo, J. Miranda- Colon, D. Gudeta, J. Han, and S. Foley |
“Toxicity of three antisense oligonucleotide drugs and eighteen of their impurities in primary human hepatocytes” |
J. Hawes, Q. Shi, L. Ren, and L. Schnackenberg |
“Using Various Machine Learning Algorithms to Determine the Best Method for Predicting Population Physiologically Based Pharmacokinetic Model Plasma Profiles” |
K. Fairman, M.-K. Choi, P. Gonnabathula, and M. Li |