Author

Cyrille L. Delley

University of California, San FranciscoORCID 0000-0002-3599-5701Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 2 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Organism:human· 2 Assay:scRNA-seq· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

Adam R. AbateiD· 3 shared Iain C. ClarkiD· 2 shared Aaron A. May-ZhangiD· 1 shared Aaron G. SchmidtiD· 1 shared Ahmad Osman· 1 shared Ahmed S. FahadiD· 1 shared Alejandro Benjamin BalazsiD· 1 shared Azady PirhanoviD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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3 shared papersGenomics

Adam R. AbateORCID

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3 papers

Recent·Most cited

GenomicsProceedings of the National Academy of SciencesPeer-reviewedAug 18, 2026

The Immunophenotype and Proviral Landscape of HIV-infected CD4 T Cells During Antiretroviral Therapy

Cyrille L. Delley, Sakshi Shah, Kevin M. Joslin…·Iain C. Clark

This study uses DAb-seq to analyze HIV-infected CD4 T cells on ART, revealing subset-specific differences in provirus maintenance and surface protein expression.

3 citations

humanscRNA-seq

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ImmunologybioRxivPreprintJan 31, 2025

High-Throughput Antibody Neutralization Screening in Massively Parallel Droplet Arrays

Matías Gutiérrez-González, Ahmed S. Fahad, Cyrille L. Delley…·Brandon J. DeKosky

This paper introduces a high-throughput method for screening antibody neutralization using droplet arrays, demonstrating scalable functional antibody data collection against viral diseases.

1 citation

experimental assayhost-pathogen & immune response

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GenomicsNature BiotechnologyPeer-reviewedMar 6, 2023

Microfluidics-free single-cell genomics with templated emulsification

Iain C. Clark, Kristina M. Fontanez, Robert H. Meltzer…·Adam R. Abate

The paper introduces PIP-seq, a microfluidics-free method for single-cell RNA sequencing that enables high-throughput, scalable, and flexible processing of samples.

225 citationstop 1%

mousehuman

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