Author

Laura M. Heath

Sage BionetworksORCID 0000-0002-0318-2773Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 6 Approach:statistical model· 6 Research Focus:differential expression· 3 Assay:proteomics· 3 Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 2 Assay:scRNA-seq· 2 Research Focus:trajectory inference· 2

Frequent Co-Authors

Nilüfer Ertekin‐TaneriD· 4 shared Philip L. De JageriD· 4 shared Anna K. GreenwoodiD· 3 shared Benjamin A. LogsdoniD· 3 shared Dennis W. DicksoniD· 3 shared Lisa Laverne BarnesiD· 3 shared Mariet AlleniD· 3 shared Marla GearingiD· 3 shared

Activity by Year

2020-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

4 shared papersNeuroscience

Nilüfer Ertekin‐TanerORCID

Mutual co-authors in cluster

Author profile →

6 papers

Recent·Most cited

The SEA-AD DREAM Challenge: Community benchmarking human and AI agent solutions for Alzheimer's disease neuropathology prediction from single-nucleus transcriptomics

Hsin-Yu Lai, Nikolaos Kalavros, Verena Chung, Eitan S Kaplan, Julio Sáez-Rodríguez, Lingyi Cai, Dimitris Anastassiou, Erica Chen, Ignacio Garach Vélez, Gamze Gürsoy, Luis Javier Herrera, Xiaoting Li, Eric R. Londin, Phillipe Loher, Iliza Nazeraj, , Mariano I. Gabitto

The paper presents a benchmarking challenge to predict Alzheimer's disease neuropathology from single-nucleus transcriptomics using human and AI models, finding that top methods achieve near-perfect categorical staging predictions.

bioRxiv · Aug 11, 2026 · PreprintNeuroscience

Large- Scale Deep Proteomic Analysis in Alzheimer's Disease Brain Regions Across Race and Ethnicity

Fatemeh Seifar, Edward J. Fox, Anantharaman Shantaraman, Yue Liu, Eric B. Dammer, Erica S. Modeste, Duc M. Duong, Luming Yin, Adam N. Trautwig, Qi Jin Guo, Kaiming Xu, Lingyan Ping, Joseph S. Reddy, Mariet Allen, Zachary Quicksall, , Nicholas T. Seyfried

The paper performs large-scale proteomic analysis of Alzheimer's disease brain regions across different racial and ethnic groups, identifying AD-related protein changes and APOE4 concordance with genotype.

Alzheimer s & Dementia · Nov 13, 2024Peer-reviewedNeuroscience

Bridging the Gap: Multi-Omics Profiling of Brain Tissue in Alzheimer's Disease and Older Controls in Multi-Ethnic Populations

Joseph S. Reddy, Laura M. Heath, Abby Vander Linden, Mariet Allen, Kátia de Paiva Lopes, Fatemeh Seifar, Erming Wang, Yiyi Ma, William L. Poehlman, Zachary Quicksall, Alexi M. Runnels, Yanling Wang, Duc M. Duong, Luming Yin, Kaiming Xu, , Nilüfer Ertekin‐Taner

This paper presents a multi-omics dataset from multi-ethnic Alzheimer's disease brain donors, including transcriptome, genome, and proteome data, to improve precision medicine for underrepresented populations.

Alzheimer s & Dementia · Aug 30, 2024Peer-reviewedNeuroscience

Transcriptomically unique endolysosomal and homeostatic microglia populations in Alzheimer's disease and aged human brain

Katherine E. Prater, Kevin J. Green, Sainath Mamde, Wei Sun, Alexandra Cochoit, C S Smith, Kenneth L. Chiou, Laura M. Heath, Shannon E. Rose, Jesse C. Wiley, Christopher Dirk Keene, Ronald Young Kwon, Noah Snyder‐Mackler, Elizabeth Blue, Benjamin A. Logsdon, , Suman Jayadev

The paper identifies transcriptomically distinct microglia populations in Alzheimer's disease and aged human brains using single-nucleus RNA-seq and trajectory inference.

Nature Aging · May 29, 2023Peer-reviewedNeuroscience

Manifestations of genetic risk for Alzheimer's Disease in the blood: a cross-sectional multi-omic analysis in healthy adults aged 18-90+

Laura M. Heath, John C. Earls, Andrew T. Magis, Sergey A. Kornilov, Jennifer C. Lovejoy, Cory C. Funk, Noa Rappaport, Benjamin A. Logsdon, Lara M. Mangravite, Brian W. Kunkle, Eden R. Martin, Adam Christian Naj, Nilüfer Ertekin‐Taner, Todd Eliot Golde, Leroy Hood, , Jeffrey Alan Kaye

This study identifies blood-based biomarkers associated with Alzheimer's disease genetic risk variants in a large cohort of healthy adults, showing effects from early adulthood and sex-specific patterns.

Scientific Reports · Apr 12, 2022Peer-reviewedGenetics

Molecular estimation of neurodegeneration pseudotime in older brains

Sumit Mukherjee, Laura M. Heath, Christoph Preuß, Suman Jayadev, Gwenn A. Garden, Anna K. Greenwood, Solveig K. Sieberts, Philip L. De Jager, Nilüfer Ertekin‐Taner, Gregory W. Carter, Lara M. Mangravite, Benjamin A. Logsdon

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.

Nature Communications · Nov 13, 2020Peer-reviewedNeuroscience