Author

Charline Keller

Centre National de la Recherche ScientifiquePrimary ORCID profile (0009-0004-5010-5000 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Charline KelleriD1 paper · Laboratoire de Spectrométrie de Masse Bio-Organique (LSMBO), IPHC, UMR 7178, Université de Strasbourg, CNRS, 67087 Strasbourg, France;

Biology Disciplines

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Biochemistry· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:proteomics· 3 Research Focus:benchmarking· 2 Approach:experimental assay· 2 Research Focus:batch correction / integration· 1 Research Focus:cell type annotation· 1 Assay:CITE-seq· 1 Approach:deep learning· 1

Frequent Co-Authors

Christine CarapitoiD· 3 shared Anjali SethiD· 2 shared Jeewan Babu RijaliD· 2 shared Lennart MartensiD· 2 shared Ákos VégváriiD· 1 shared Bart GhesquièreiD· 1 shared Bart Van PuyveldeiD· 1 shared Benjamin FurtwängleriD· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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3 shared papersBiochemistry

Christine CarapitoORCID

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3 papers

Recent·Most cited

Defining Quality Control Standards for Single-Cell Proteomics by Inter-Laboratory Benchmarking

Sam van Puyenbroeck, Tine Claeys, Anjali Seth, Jeewan Babu Rijal, Charline Keller, Lavender Lin, Rupert Laurenz Mayer, Manuel Matzinger, Isaac Han, Pedro Aragon-Fernandez, Valdemaras Petrosius, Benjamin Furtwängler, Brian Boyle, Keith D. Rivera, Guilhem Tourniaire, , Claudia Ctortecka

This study establishes quality control standards for single-cell proteomics through inter-laboratory benchmarking, identifying software and technical factors affecting data reliability.

bioRxiv · Jul 14, 2026 · PreprintBiochemistry

Fine-Tuning of Label-Free Single-Cell Proteomics Workflows

Pauline Perdu-Alloy, Charline Keller, Anjali Seth, Christine Carapito

The paper optimizes label-free single-cell proteomics workflows to achieve robust quantification of up to 5,000 proteins per Hela cell at 55 samples-per-day throughput.

Journal of Proteome Research · Mar 4, 2026Peer-reviewedBiochemistry

LFQ Benchmark Dataset - Generation Beta: Assessing Modern Proteomics Instruments and Acquisition Workflows with High-Throughput LC Gradients

Bart Van Puyvelde, Robbe Devreese, Cristina Chiva, Eduard Sabidó, Sibylle Pfammatter, Christian Panse, Jeewan Babu Rijal, Charline Keller, Ihor Batruch, Patrick A. Pribil, Jean-Baptiste Vincendet, Frédéric‐Georges Fontaine, L. J. LeFever, Pedro Magalhães, Dieter L. D. Deforce, , Maarten Dhaenens

The paper generates a benchmark dataset to evaluate proteomics instruments and workflows using high-throughput LC gradients across multiple platforms and organisms.

bioRxiv · Feb 9, 2026 · PreprintBioinformatics