Author

Birhanu Belay

Tampere UniversityORCID 0000-0002-1200-6501Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:bulk RNA-seq· 2 Approach:experimental assay· 2 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1 Approach:statistical model· 1

Frequent Co-Authors

Jari HyttineniD· 2 shared Antti AholaiD· 1 shared Burak ToprakhisariD· 1 shared Catherine M. VerfaillieiD· 1 shared Cristina SisuiD· 1 shared Emmanouíl KarterisiD· 1 shared Giulia ChiesaiD· 1 shared Guillem García-LlorensiD· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersBioengineering

Jari HyttinenORCID

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Author profile →

3 papers

Recent·Most cited

Quantitative 3D imaging of intact engineered heart tissues using inverted selective plane illumination microscopy

Kaisla Walls, Lotta Kulmala, Joose Kreutzer, Antti Ahola, Mari Pekkanen-Mattila, Jari Hyttinen, Birhanu Belay

This paper develops an inverted selective plane illumination microscopy platform to quantitatively image and analyze 3D engineered heart tissues, revealing structural features and heterogeneities.

bioRxiv · Oct 9, 2026 · PreprintBioengineering

Organobodies: A robust and size-controllable system for generating scalable hiPSC-derived liver organoids for drug toxicity screening

Mostafa Kiamehr, Stefano Manzini, Burak Toprakhisar, Rodrigo Madeiro da Costa, Guillem García-Llorens, Birhanu Belay, Mustapha Najimi, José Vicente Castell, Wolfgang Moritz, Giulia Chiesa, Katriina Aalto‐Setälä, Catherine M. Verfaillie

This paper introduces a scalable 3D liver model using hiPSC-derived organoids to predict drug toxicity, showing comparable functionality to primary hepatocytes.

Biofabrication · Apr 15, 2026Peer-reviewedBioengineering

A Meta-analysis of 2D vs. 3D Ovarian Cancer Cellular Models

Rachel Kerslake, Birhanu Belay, Suzana Panfilov, Marcia Hall, Ioannis Kyrou, Harpal Singh Randeva, Jari Hyttinen, Emmanouíl Karteris, Cristina Sisu

This paper compares 2D and 3D ovarian cancer models through a meta-analysis, identifying differentially expressed genes and pathways, and highlighting the benefits of 3D models in capturing tumor biology.

bioRxiv · Dec 5, 2022 · PreprintBioinformatics