Carter, Gregory W.

Comprehensive evaluation of the 5xFAD mouse model for preclinical testing applications: A MODEL-AD study.

Oblak, A. L., Lin, P. B., Kotredes, K. P., Pandey, R. S., Garceau, D., Williams, H. M., Uyar, A., O’Rourke, R., O’Rourke, S., Ingraham, C., et al. (2021) · Frontiers in Aging Neuroscience

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 325

Meta-Analysis of the Alzheimer’s Disease Human Brain Transcriptome and Functional Dissection in Mouse Models

Wan, Y.-W., Al-Ouran, R., Mangleburg, C. G., Perumal, T. M., Lee, T. V., Allison, K., Swarup, V., Funk, C. C., Gaiteri, C., Allen, M., et al. (2020) · Cell Reports

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 295

Enhancing face validity of mouse models of Alzheimer’s disease with natural genetic variation

Onos, K. D., Uyar, A., Keezer, K. J., Jackson, H. M., Preuss, C., Acklin, C. J., O’Rourke, R., Buchanan, R., Cossette, T. L., Sukoff Rizzo, S. J., et al. (2019) · PLOS Genetics

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 93

Natural genetic variation determines microglia heterogeneity in wild-derived mouse models of Alzheimer’s disease

Yang, H. S., Onos, K. D., Choi, K., Keezer, K. J., Skelly, D. A., Carter, G. W., & Howell, G. R. (2021) · Cell Reports

Neuroinflammation and Neurodegeneration MechanismsAlzheimer's disease research and treatments

Cited by 69

Clustering of transcriptional profiles identifies changes to insulin signaling as an early event in a mouse model of Alzheimer’s disease

Jackson, H. M., Soto, I., Graham, L. C., Carter, G. W., & Howell, G. R. (2013) · BMC Genomics

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 66

Uncovering Disease Mechanisms in a Novel Mouse Model Expressing Humanized APOEε4 and Trem2*R47H

Kotredes, K. P., Oblak, A., Pandey, R. S., Lin, P. B.-C., Garceau, D., Williams, H., Uyar, A., O’Rourke, R., O’Rourke, S., Ingraham, C., et al. (2021) · Frontiers in Aging Neuroscience

Alzheimer's disease research and treatmentsNeuroinflammation and Neurodegeneration Mechanisms

Cited by 66

A novel systems biology approach to evaluate mouse models of late-onset Alzheimer’s disease

the MODEL-AD Consortium, Preuss, C., Pandey, R., Piazza, E., Fine, A., Uyar, A., Perumal, T., Garceau, D., Kotredes, K. P., Williams, H., et al. (2020) · Molecular Neurodegeneration

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 63

Genetic and multi‐omic risk assessment of Alzheimer's disease implicates core associated biological domains

Cary, G. A., Wiley, J. C., Gockley, J., Keegan, S., Amirtha Ganesh, S. S., Heath, L., Butler, R. R., Mangravite, L. M., Logsdon, B. A., Longo, F. M., et al. (2024) · Alzheimer's & Dementia: Translational Research & Clinical Interventions

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 49

Genetic perturbations of disease risk genes in mice capture transcriptomic signatures of late-onset Alzheimer’s disease

Pandey, R. S., Graham, L., Uyar, A., Preuss, C., Howell, G. R., & Carter, G. W. (2019) · Molecular Neurodegeneration

Alzheimer's disease research and treatmentsNeuroinflammation and Neurodegeneration Mechanisms

Cited by 37

Effective integration of multi-omics with prior knowledge to identify biomarkers via explainable graph neural networks

Tripathy, R. K., Frohock, Z., Wang, H., Cary, G. A., Keegan, S., Carter, G. W., & Li, Y. (2025) · npj Systems Biology and Applications

Bioinformatics and Genomic NetworksComputational Drug Discovery Methods

Cited by 36

Systematic measurement of transcription factor-DNA interactions by targeted mass spectrometry identifies candidate gene regulatory proteins

Mirzaei, H., Knijnenburg, T. A., Kim, B., Robinson, M., Picotti, P., Carter, G. W., Li, S., Dilworth, D. J., Eng, J. K., Aitchison, J. D., et al. (2013) · Proceedings of the National Academy of Sciences

Advanced Proteomics Techniques and ApplicationsGenomics and Chromatin Dynamics

Cited by 30

3D bioengineered neural tissue generated from patient-derived iPSCs mimics time-dependent phenotypes and transcriptional features of Alzheimer’s disease

Lomoio, S., Pandey, R. S., Rouleau, N., Menicacci, B., Kim, W., Cantley, W. L., Haydon, P. G., Bennett, D. A., Young-Pearse, T. L., Carter, G. W., et al. (2023) · Molecular Psychiatry

Alzheimer's disease research and treatmentsPluripotent Stem Cells Research

Cited by 25

Plcg2M28L Interacts With High Fat/High Sugar Diet to Accelerate Alzheimer’s Disease-Relevant Phenotypes in Mice

Oblak, A. L., Kotredes, K. P., Pandey, R. S., Reagan, A. M., Ingraham, C., Perkins, B., Lloyd, C., Baker, D., Lin, P. B., Soni, D. M., et al. (2022) · Frontiers in Aging Neuroscience

Alzheimer's disease research and treatmentsNeuroinflammation and Neurodegeneration Mechanisms

Cited by 23

Pharmacokinetic, pharmacodynamic, and transcriptomic analysis of chronic levetiracetam treatment in 5XFAD mice: A MODEL-AD preclinical testing core study

Onos, K. D., Quinney, S. K., Jones, D. R., Masters, A. R., Pandey, R., Keezer, K. J., Biesdorf, C., Metzger, I. F., Meyers, J. A., Peters, J., et al. (2022) · Alzheimer's & Dementia: Translational Research & Clinical Interventions

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 16

PLCG2 as a Risk Factor for Alzheimer's Disease.

Tsai, A. P., Dong, C., Preuss, C., Moutinho, M., Lin, P. B.-C., Hajicek, N., Sondek, J., Bissel, S. J., Oblak, A. L., Carter, G. W., et al. (2020)

Alzheimer's disease research and treatmentsNeuroinflammation and Neurodegeneration Mechanisms

Cited by 7

An explainable graph neural network approach for effectively integrating multi-omics with prior knowledge to identify biomarkers from interacting biological domains

Tripathy, R. K., Frohock, Z., Wang, H., Cary, G. A., Keegan, S., Carter, G. W., & Li, Y. (2024) · bioRxiv (Cold Spring Harbor Laboratory)

Bioinformatics and Genomic NetworksAdvanced Graph Neural Networks

Cited by 6