Author

A. Serin Harmanci

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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Cancer Biology· 3

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Research Focus:differential expression· 3 Assay:scRNA-seq· 3 Approach:experimental assay· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Approach:deep learning· 1

Frequent Co-Authors

G. Rao· 3 shared A. O. Harmanci· 2 shared B. Deneen· 2 shared B. Lozzi· 2 shared J. Jing· 2 shared M. F. McDonald· 2 shared P. He· 2 shared Q. Ma· 2 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersCancer Biology

G. Rao

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Author profile →

3 papers

Recent·Most cited

Integrated electrophysiological and genomic profiles of single cells reveal spiking tumor cells in human glioma

R. N. Curry, Q. Ma, M. F. McDonald, Y. Ko, S. Srivastava, P.-S. Chin, P. He, B. Lozzi, J. Jing, P. Athukuri, S. Wang, A. O. Harmanci, B. Arenkiel, X. Jiang, B. Deneen, , A. Serin Harmanci

The paper identifies hybrid cells in human glioma with both neuronal and glial electrophysiological and transcriptomic features using Patch-sequencing and a new computational tool.

bioRxiv · Mar 2, 2024Cancer Biology

Identification of functional immune and neuronal tumor cells in glioma

R. N. Curry, M. F. McDonald, Q. Ma, J. Meyer, I. Aiba, B. Lozzi, A. Cervantes, Y. Ko, E. Luna-Figueroa, D.-J. Choi, Z.-F. Lee, J. Jing, A. O. Harmanci, A. Rosenbaum, P. He, , A. Serin Harmanci

The paper introduces SCRAM, a tool that identifies tumor-specific cell types in glioma with functional properties similar to non-tumor cells.

bioRxiv · Nov 5, 2022 · PreprintCancer Biology

Single-cell RNA Sequencing Reveals Immunosuppressive Myeloid Cell Diversity and Restricted Cytotoxic Effector Cell Trafficking and Activation During Malignant Progression in Glioma

S. Rajendran, C. Peterson, A. Canella, Y. Hu, A. Gross, M. Cam, A. Serin Harmanci, R. Distefano, G. Nigita, W. Wang, K. E. Miller, O. Elemento, R. D. Roberts, E. C. Holland, G. Rao, , P. Rajappa

This study uses single-cell RNA sequencing to analyze immune cell changes during glioma progression, identifying immunosuppressive myeloid cell subsets and potential therapeutic targets.

bioRxiv · Sep 24, 2021 · PreprintCancer Biology