Author

E. D. SoRelle

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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Bioengineering· 4 Immunology· 2

Signature Assays, Organisms & Methods

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Assay:imaging· 4 Research Focus:cell type annotation· 3 Organism:human· 3 Research Focus:clustering· 2 Approach:deep learning· 2 Approach:experimental assay· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2

Frequent Co-Authors

M. A. Luftig· 4 shared C. Chan· 3 shared A. de la Zerda· 2 shared J. Dai· 2 shared K. C. Wood· 2 shared O. Liba· 2 shared R. Dutta· 2 shared A. P. Barry· 1 shared

Activity by Year

2017-2022 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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4 shared papersImmunology

M. A. Luftig

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Author profile →

6 papers

Recent·Most cited

Fate-resolved gene regulatory signatures of individual B lymphocytes in the early stages of Epstein-Barr Virus infection

E. D. SoRelle, J. Dai, N. M. Reinoso-Vizcaino, A. P. Barry, C. Chan, M. A. Luftig

This paper uses single-cell transcriptomics and chromatin accessibility to model early EBV infection dynamics and identifies regulatory signatures in B lymphocytes.

bioRxiv · Feb 23, 2022 · PreprintImmunology

Comparing instance segmentation methods for analyzing clonal growth of single cells in microfluidic chips

E. D. SoRelle, S. White, B. Yellen, K. C. Wood, M. A. Luftig, C. Chan

The paper compares segmentation methods for analyzing clonal growth in microfluidic chips, finding unsupervised learning methods more accurate and flexible than supervised approaches.

bioRxiv · Dec 31, 2020 · PreprintBioengineering

Massively parallel quantification of phenotypic heterogeneity in single cell drug responses

B. B. Yellen, J. S. Zawistowski, E. A. Czech, C. I. Sanford, E. D. SoRelle, M. A. Luftig, Z. G. Forbes, K. C. Wood, J. Hammerbacher

The paper develops a single-cell phenotyping tool to measure clonal properties at scale, applying it to study drug responses in AML clones and identifying rare resistance phenotypes.

bioRxiv · Dec 18, 2020Bioengineering

Single-cell characterization of transcriptomic heterogeneity in lymphoblastoid cell lines

E. D. Sorelle, J. Dai, J. Y. Zhou, S. Giamberardino, J. A. Bailey, S. Gregory, C. Chan, M. A. Luftig

This study uses single-cell RNA sequencing to analyze transcriptomic heterogeneity in lymphoblastoid cell lines and shows how stochastic factors influence clonal evolution.

bioRxiv · Sep 24, 2020 · PreprintImmunology

Real-time detection of circulating tumor cells in living animals using functionalized large gold nanorods

R. Dutta, O. Liba, E. D. SoRelle, Y. Winetraub, V. Ramani, S. S. Jeffrey, G. W. Sledge, A. de la Zerda

This paper demonstrates the use of functionalized large gold nanorods with speckle modulating-OCT to detect and track individual cells in vivo.

bioRxiv · Dec 17, 2018Bioengineering

Wide-field dynamic monitoring of immune cell trafficking in murine models of glioblastoma

E. D. SoRelle, D. W. Yecies, O. Liba, C. F. Bennett, C.-M. Graef, R. Dutta, S. S. Mitra, L.-M. Joubert, S. H. Cheshier, G. A. Grant, A. de la Zerda

This study introduces a novel imaging method to track immune cell trafficking in glioblastoma models, revealing TAM dynamics and distribution patterns.

bioRxiv · Nov 17, 2017Bioengineering