Author

B. E. Bernstein

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 1 Cancer Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Assay:scRNA-seq· 2 Assay:ChIP-seq· 1

Frequent Co-Authors

A. K. Shalek· 1 shared A. Kulminski· 1 shared A. N. Chiocca· 1 shared A. Reyes· 1 shared B. Zhang· 1 shared C. A. K. El Farran· 1 shared C. B. Epstein· 1 shared C. P. Couturier· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperCancer Biology

A. K. Shalek

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Programs, Origins, and Niches of Immunomodulatory Myeloid Cells in Gliomas

T. E. Miller, C. A. K. El Farran, C. P. Couturier, Z. Chen, J. P. D'Antonio, J. Verga, M. A. Villanueva, L. N. G. Castro, Y. E. Tong, T. Al-Saadi, A. N. Chiocca, D. S. Fischer, D. H. Heiland, J. L. Guerriero, K. Petrecca, , B. E. Bernstein

The paper identifies four immunomodulatory programs in glioma-associated myeloid cells using scRNA-seq and shows they are driven by microenvironmental cues and therapies, not cell type or mutation status.

bioRxiv · Oct 24, 2023 · PreprintCancer Biology

An Autoimmune Transcriptional Circuit Driving Foxp3+ Regulatory T cell Dysfunction

T. S. Sumida, M. R. Lincoln, L. He, Y. Park, M. Ota, H. A. Stillwell, G. A. Leissa, K. Fujio, A. Kulminski, C. B. Epstein, B. E. Bernstein, M. Kellis, D. A. Hafler

This study identifies a primate-specific PRDM1 isoform and its interaction with SGK1 as drivers of Treg dysfunction in autoimmune diseases.

bioRxiv · Dec 2, 2022 · PreprintImmunology

Data-driven polymer model for mechanistic exploration of diploid genome organization

Y. Qi, A. Reyes, S. E. Johnstone, M. J. Aryee, B. E. Bernstein, B. Zhang

The paper introduces a data-driven polymer model to study diploid genome organization, validated against Hi-C data and showing chromosome positioning principles.

bioRxiv · Feb 27, 2020Biophysics