Author

Annalisa Tirella

University of TrentoORCID 0000-0002-3743-3593Unclaimed 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· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Esther BaenaiD· 1 shared Eugenia SpessotiD· 1 shared Khalsa Al-Husaini· 1 shared Lekha ShahiD· 1 shared Marco A.N. DomingosiD· 1 shared Valentina BreschiiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 7 mutual co-author links

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1 shared paperBioengineering

Esther BaenaORCID

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2 papers

Recent·Most cited

BioengineeringbioRxivPreprintAug 21, 2025

Bio-fabricated alginate tumor-like hydrogels to enhance understanding of prostate-specific micro-environments in vitro

Khalsa Al-Husaini, Eugenia Spessot, Esther Baena…·Annalisa Tirella

This paper develops bio-fabricated alginate hydrogels to model prostate cancer microenvironments, showing increased cell proliferation and metastatic markers in stiffer, laminin-enriched hydrogels with cancer-associated fibroblasts.

DOI 10.1101/2025.08.21.671451

humanexperimental assay

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BioengineeringbioRxivPreprintMar 21, 2025

A data-informed approach for engineering in-vitro experiment design to decipher key features of invasive breast cancer cell phenotypes

Lekha Shah, Valentina Breschi, Annalisa Tirella

The paper introduces a machine learning approach to analyze high-dimensional data from micro-physiological systems to identify key markers distinguishing invasive from non-invasive breast cancer cell phenotypes.

DOI 10.1101/2025.03.21.643499

humanbulk RNA-seq

𝕏 PostBluesky