Gregory W. Carter

The paper characterizes the AppSAA knock-in mouse model, showing it recapitulates age-dependent Alzheimer's disease phenotypes and provides a tool for preclinical research.

This study shows that modulating neuronal cell cycle re-entry at a later age prevents Alzheimer's disease-related pathologies and highlights its relevance to late-onset AD.

The paper shows that the MTHFR*677C>T variant in a mouse model of LOAD produces distinct transcriptional and proteomic signatures related to cerebrovascular and synaptic biology.

The paper presents the first telomere-to-telomere genome for the common marmoset, revealing genomic features and a pangenome resource for biomedical research.

This study examines the molecular effects of aducanumab treatment in 5XFAD mice, revealing sex-dependent and IgG-mediated changes in amyloid and associated pathways.

The paper identifies cross-domain drivers of Alzheimer's disease risk by integrating network analysis across biological domains.

This study shows that PSEN1 mutant marmoset fibroblasts exhibit multi-omic signatures similar to Alzheimer's disease in humans, highlighting sex-specific differences and disease-relevant pathways.

This study shows that human KL haplotypes FC and VS cause widespread transcriptomic changes in mouse brains at 12 months old, affecting mitochondrial, ribosomal, and synaptic functions, and linking them to Alzheimer's Disease pathogenesis.

The paper introduces INDIGO, a framework for individual-level proteomic analysis in Alzheimer's Disease, identifying molecular subgroups linked to clinical and pathological features.

This study compares two mouse models of TREM2 variants, showing both mimic Alzheimer's disease signatures in similar biological domains.

The paper identifies five therapeutic targets for Alzheimer's disease by integrating phenotypic and proteomic screening in murine microglial cells.

This paper characterizes cerebrovascular phenotypes in WSB.APP/PS1 mice, showing age-related CAA, transcriptomic overlap with human AD, myelin deficits, and APOE allele-dependent effects on vascular pathology.

The paper compares the transcriptome of Kat5 knockout mice to AD datasets, finding similar gene expression patterns and showing KAT5 localization in AD neurons.

The paper identifies a composite transcriptome signature with high distal heritability that explains 30% of metabolic trait variation across species.

This study confirms the expression of 3R and 4R Tau isoforms and phosphorylation sites in marmoset brains, supporting their use as a model for Alzheimer's disease.

The paper introduces a graph neural network framework that integrates multi-omics data with biological priors to identify biomarkers in Alzheimer's disease.

This study characterizes molecular and synaptic changes in a mouse model of late-onset Alzheimer's disease under different dietary conditions, showing age-related brain volume loss and cognitive deficits.

The paper assesses neurovascular uncoupling in APOE variants, finding APOEε4/ε4 shows Type-1 uncoupling and APOEε3/ε4 shows Type-2 uncoupling in aging mice.

The paper functionally validates 11 genetic risk variants for late-onset Alzheimer's disease using a mouse model and compares transcriptomic effects to human cohorts.

The paper identifies sex-specific metabolomic differences in serum and brain of Alzheimer's disease mouse models, showing model-specific metabolic signatures that align with human APOE4 carriers.

This study examines the effects of 2-deoxyglucose on gene expression across nine tissues in mice, identifying tissue-specific changes in metabolic and immunological pathways.

The paper identifies two covalent inhibitors that disrupt the interaction between SYK's tandem SH2 domains and FCER1G phospho-ITAM, potentially beneficial for Alzheimer's disease therapy.

The paper uses regression modeling to identify genetic-epigenetic interactions in mice, showing they are common and structured by 3D chromatin domains.

The paper examines how histone modifications vary across mouse strains and correlates these variations with gene expression, finding strong links between chromatin states and gene expression, but not DNA methylation.

The paper uses single-cell RNA sequencing to analyze RPE cell heterogeneity in mice, identifying six cell populations and changes in gene expression during maturation.

This study shows that a high fat-high sugar diet interacts with the Plcg2M28L genetic variant to accelerate Alzheimer's disease-like phenotypes in mice.

This study identifies Arhgef12 and Prkci as genetic modifiers that influence the severity of retinal dysplasia in the Crb1rd8 mouse model, revealing differential disease progression and cellular mislocalization.

This study examines how kinship correction affects genetic interaction test statistics in mouse populations, finding no inflation in interaction tests but recommending reduced kinship matrices for better correction.

The paper estimates molecular pseudotime for Alzheimer's disease progression using RNA-Seq data from human brain samples, showing strong concordance with pathological markers and cognitive diagnosis.