Author

Linda E. Kippner

Georgia Institute of TechnologyORCID 0000-0003-0263-0279Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cell type annotation· 2 Research Focus:cell-cell communication· 2 Research Focus:differential expression· 2 Approach:machine learning (classical)· 2 Assay:scRNA-seq· 2 Research Focus:clustering· 1 Assay:flow cytometry· 1

Frequent Co-Authors

Krishnendu RoyiD· 3 shared Carolyn Yeago· 2 shared Hazel Y. StevensiD· 2 shared Hicham DrissiiD· 2 shared Kenneth MautneriD· 2 shared Paramita ChatterjeeiD· 2 shared Scott D. BodeniD· 2 shared Aaron D. Silva TrenkleiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Krishnendu RoyORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicineMolecular Therapy — Nucleic AcidsPeer-reviewedJan 20, 2026

Single-Cell Transcriptomics of Multi-Site Cell Therapy in Osteoarthritis: Tissue-Specific Traits and Treatment Correlations

Paramita Chatterjee, Hazel Y. Stevens, Linda E. Kippner…·Krishnendu Roy

This study uses single-cell RNA sequencing to analyze cell therapy samples in osteoarthritis, identifying tissue-specific pathways and treatment correlations while highlighting challenges in patient heterogeneity.

2 citationstop 4%

humanscRNA-seq

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Immunologynpj Regenerative MedicinePeer-reviewedNov 27, 2025

Label-Free In-Line Characterization of Immune Cell Culture using Quantitative Phase Imaging

Caroline E. Serafini, Viswanath Gorti, Paloma Casteleiro Costa…·Francisco E. Robles

This paper introduces qOBM for non-destructive, label-free monitoring of T cell cultures, showing strong correlation with traditional assays and potential for improving cell therapy development.

5 citations

humanflow cytometry

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BioinformaticsbioRxivPreprintSep 26, 2025

Multi-omics integration at cell type resolution uncovers gene-metabolite mechanisms underlying osteoarthritis heterogeneity

Abhishek Ojha, Paramita Chatterjee, Linda E. Kippner…·Saurabh Sinha

The paper integrates metabolomics and single-cell transcriptomics to uncover gene-metabolite mechanisms driving osteoarthritis heterogeneity.

1 citation

humanmetabolomics

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