Author

Tannia Gracia

Wellcome Sanger InstituteORCID 0000-0002-8237-1870Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:deep learning· 3 Organism:human· 3 Assay:ATAC-seq· 2 Research Focus:cell type annotation· 2 Research Focus:cell-cell communication· 2 Research Focus:gene regulatory network inference· 2 Assay:scRNA-seq· 2 Research Focus:chromatin & epigenetic regulation· 1

Frequent Co-Authors

Fani MemiiD· 3 shared Omer Ali BayraktariD· 3 shared Andrew L. TrinhiD· 2 shared Elizabeth J. TuckiD· 2 shared Grant de Jong· 2 shared Kenny RobertsiD· 2 shared Manu SaraswatiD· 2 shared Moritz MalliD· 2 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersCancer Biology

Fani MemiORCID

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Author profile →

3 papers

Recent·Most cited

Multi-scale modeling of human tissues from spatial transcriptomics with TERRA

Sebastian Birk, Mohammad Vali Sanian, Amirhossein Vahidi, Samuel Ogden, Daniyal J. Jafree, Adib Miraki Feriz, Carlo Leonardi, Arpit Merchant, Zichen He, Lloyd Steele, Adam R. Boxall, Marta Rosa Sallese, Jonas Maaskola, Ciro Ramírez-Suástegui, Sevda Öğüt, , Mohammad Lotfollahi

TERRA is a foundation model for spatial transcriptomics that predicts tissue behavior under perturbation and identifies multi-scale biological insights across tissues.

bioRxiv · Aug 4, 2026 · PreprintGenomics

A spatiotemporal cancer cell trajectory underlies glioblastoma heterogeneity

Grant de Jong, Fani Memi, Tannia Gracia, Olga Lazareva, Oliver Gould, Alexander Aivazidis, Manàs Dave, Qianqian Zhang, Melanie P. Jensen, Ahmet Süreyya Rifaioğlu, João Diogo Barros-Silva, Sabine E. Eckert, Di Zhou, Yvette Wood, Elizabeth J. Tuck, , Omer Ali Bayraktar

The paper identifies a spatiotemporal cancer cell trajectory in glioblastoma that explains tumor heterogeneity across regions and subclones.

bioRxiv · May 13, 2025 · PreprintCancer Biology

Decoding Plasticity Regulators and Transition Trajectories in Glioblastoma with Single-cell Multiomics

Manu Saraswat, Laura Rueda-Gensini, Elisa Heinzelmann, Tannia Gracia, Fani Memi, Grant de Jong, Jannes Straub, Cedar Schloo, Dirk C. Hoffmann, Erik Jung, Tim Kindinger, Bettina Weigel, Bryce Lim, Sophie Weil, Oliver Gould, , Moritz Mall

This study uses single-cell multiomics to identify regulatory programs and plasticity regulators in glioblastoma, revealing MYT1L as a key repressor of malignant plasticity.

bioRxiv · May 13, 2025 · PreprintCancer Biology