Author

Benjamin M. Ellingson

University of California, Los AngelesORCID 0000-0002-2764-6640Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:differential expression· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:eQTL / molecular QTL mapping· 1 Assay:proteomics· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Akifumi HagiwaraiD· 1 shared Alexander W. CharneyiD· 1 shared Alvaro G. AlvaradoiD· 1 shared Amanda L. DobbyniD· 1 shared Andrew Browne· 1 shared Andrew J. ChessiD· 1 shared Anna Cavalla· 1 shared Anna K. GreenwoodiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperNeuroscience

Akifumi HagiwaraORCID

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3 papers

Recent·Most cited

GFAP Degradation in TBI: Linking Novel Modified Products to Astrocyte Pathology and Patient Outcome

Ina B. Wanner, Julia Halford, Jonathan Lopez, Sean Shen, Yu Chen, Hayden Zhao, Carolina Salas, Rachel R. Ogorzalek Loo, Steven A. Robicsek, Benjamin M. Ellingson, JEFFREY A. GORNBEIN, Timothy E. Van Meter, Gerry Shaw, Joseph A. Loo, Paul M Vespa

This study identifies novel GFAP breakdown products and modifications in TBI patients, linking them to astrocyte pathology and clinical outcomes.

Acta Neuropathologica Communications · Apr 24, 2026Peer-reviewedNeuroscience

Single-nucleus analysis characterizes non-enhancing region of recurrent high-grade glioma

Kunal S. Patel, Kaleab K. Tessema, Riki Kawaguchi, Lindsey Anne Dudley, Alvaro G. Alvarado, Sree Deepthi Muthukrishnan, Travis Perryman, Akifumi Hagiwara, Vivek Swarup, Linda M. Liau, Anthony Wang, William H. Yong, Daniel H. Geschwind, Ichiro Nakano, Steven A. Goldman, , Harley I. Kornblum

The paper uses single-nucleus RNA-sequencing to compare non-enhancing and contrast-enhancing regions of high-grade gliomas, finding distinct cellular states and microenvironment features in NE regions.

Neuro-Oncology Advances · Jan 1, 2024Peer-reviewedNeuroscience

Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regions

Solveig K. Sieberts, Thanneer Malai Perumal, Minerva M. Carrasquillo, Mariet Allen, Joseph S. Reddy, Gabriel E. Hoffman, Kristen K. Dang, John N. Calley, Philip J. Ebert, James A. Eddy, Xue Wang, Anna K. Greenwood, Sara Mostafavi, Schahram Akbarian, Jaroslav M. Bendl, , Chris Gaiteri

This paper performs a large-scale eQTL meta-analysis across cerebral cortical and cerebellar brain regions, identifying distinct eQTL patterns and demonstrating improved power over existing studies.

Scientific Data · Oct 12, 2020Peer-reviewedGenetics