Author

Sevana Baghdasarian

University of California, Los Angeles

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· 2

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Dino Di CarloiD· 2 shared Justin LangermaniD· 2 shared Kathrin PlathiD· 2 shared Caitlin Gee· 1 shared Donghui Cheng· 1 shared Heather Wright· 1 shared Jami McLaughlin· 1 shared Jingyi Jessica LiiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioengineering

Dino Di CarloORCID

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2 papers

Recent·Most cited

Systematic mapping of emergent transcriptional states in interacting single-cell dyads by Cell-Cell-seq

Sevana Baghdasarian, Qingyang Wang, Justin Langerman, Zhiyuan Mao, Heather Wright, Caitlin Gee, Donghui Cheng, Jami McLaughlin, Lee Jc, Xiaojing Tina Chen, K. Christopher García, Jingyi Jessica Li, Owen N. Witte, Kathrin Plath, Dino Di Carlo

Cell-Cell-seq maps transcriptional states in interacting cell pairs by profiling defined dyads, revealing emergent gene programs and cross-cell coordination in tumor-T cell interactions.

bioRxiv · Feb 9, 2026 · PreprintBioengineering

Linking single-cell transcriptomes with secretion using secretion-encoded single-cell sequencing (SEC-seq)

Justin Langerman, Sevana Baghdasarian, Rene Yu-Hong Cheng, Richard G. James, Kathrin Plath, Dino Di Carlo

SEC-seq links single-cell transcriptomes with secretion levels by isolating cells and secretions in Nanovials, enabling analysis of secretory phenotypes and their genetic drivers.

Nature Protocols · Feb 20, 2025Peer-reviewedBioengineering