Author

Erja Kerkelä

Finnish Red CrossORCID 0000-0002-2923-5300Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 4 Approach:experimental assay· 3 Organism:human· 3 Research Focus:cell-cell communication· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Farhana JahaniD· 3 shared Kim K. VettenrantaiD· 3 shared Seppo Ylä-HerttualaiD· 3 shared Diana SchenkweiniD· 2 shared Emmi JärveläiD· 2 shared Helka GöösiD· 2 shared Henrik PaavilaineniD· 2 shared Jan KoskiiD· 2 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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Curved chords = mutual co-authorship

3 shared papersImmunology

Farhana JahanORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Efficient NK cell transduction with VSV-G-pseudotyped lentiviral vectors

Emmi Järvelä, Jan Koski, Farhana Jahan, Antti Tuhkala, Mira Saari, Manar Elmadani, Kari Salokas, Laurens Veltman, Lotta Andersson, Erja Kerkelä, Hekim Can, Marie C. Nyman, Seppo Ylä-Herttuala, Markku T Varjosalo, Diana Schenkwein, , Helka Göös

This study optimizes VSV-G-pseudotyped lentiviral transduction of NK cells by improving activation, construct design, and enhancer use, achieving high efficiency without compromising cell function.

Molecular Therapy Advances · May 5, 2026Peer-reviewedImmunology

Feeder cell - the key component in producing scalable and fit NK cells for therapeutic use

Mira Saari, Farhana Jahan, Lotta Andersson, Anna Syreeni, Pirjo Vehmaan-Kreula, Jan Koski, Emmi Järvelä, Erja Kerkelä, Henrik Paavilainen, Diana Schenkwein, Seppo Ylä-Herttuala, Kim K. Vettenranta, Helka Göös, Matti Korhonen

This study evaluates engineered K562 feeder cells for enhancing NK cell expansion and function in ex vivo cultures, showing up to 500-fold higher yields compared to feeder-free systems.

bioRxiv · Apr 23, 2026 · PreprintImmunology

Automated and closed clinical-grade manufacturing protocol produces potent NK cells against neuroblastoma cells and AML blasts

Farhana Jahan, Leena Penna, Annu Luostarinen, Laurens Veltman, Heidi Hongisto, Kaarina Lähteenmäki, Sabine Müller, Seppo Ylä‐Herttuala, Matti O. Korhonen, Kim K. Vettenranta, Anita Laitinen, Urpu Salmenniemi, Erja Kerkelä

This paper describes a GMP-compliant protocol for producing potent NK cells against AML and neuroblastoma using an automated platform, showing increased activation and killing efficacy.

Scientific Reports · Nov 4, 2024Peer-reviewedImmunology

DeepIFC: virtual fluorescent labeling of blood cells in imaging flow cytometry data with deep learning

Veera A. Timonen, Erja Kerkelä, Ulla Impola, Leena Penna, Jukka Partanen, Outi Kilpivaara, Mikko Arvas, Esa Pitkänen

DeepIFC uses deep learning to generate fluorescent marker images from imaging flow cytometry data, enabling accurate cell typing and recognition of unseen cell types.

Cytometry Part A · Jun 7, 2023Peer-reviewedBioinformatics