Author

Alexander Aivazidis

Wellcome Sanger Institute

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Genomics· 2 Bioinformatics· 1 Cancer Biology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 4 Research Focus:cell type annotation· 3 Assay:spatial transcriptomics· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:trajectory inference· 2 Assay:ATAC-seq· 1 Approach:Bayesian inference· 1

Frequent Co-Authors

Omer Ali BayraktariD· 5 shared Vitalii KleshchevnikoviD· 4 shared Elizabeth J. TuckiD· 3 shared Fani MemiiD· 3 shared Kenny RobertsiD· 3 shared Oliver StegleiD· 3 shared Tong LiiD· 3 shared Andrew L. TrinhiD· 2 shared

Activity by Year

2021-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

5 shared papersGenomics

Omer Ali BayraktarORCID

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

A spatial transcriptomic atlas of autism-associated genes identifies convergence in the developing human thalamus

Alexander Aivazidis, Fani Memi, Koen Rademaker, Mahmoud Koko, Kenny Roberts, Andrew L. Trinh, Robert Petryszak, Vitalii Kleshchevnikov, Elizabeth J. Tuck, Steven Lisgo, Tong Li, Stanislaw Makarchuk, Martin Prete, Tomasz Jan Nowakowski, Hilary C. Martin, Omer Ali Bayraktar

The paper presents a spatial transcriptomic atlas of autism-associated genes in the developing human brain, identifying convergence in the thalamus and germinal zones.

bioRxiv · Nov 5, 2025 · PreprintNeuroscience

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

Model-based inference of RNA velocity modules improves cell fate prediction

Alexander Aivazidis, Fani Memi, Vitalii Kleshchevnikov, Brian Clarke, Oliver Stegle, Omer Ali Bayraktar

The paper introduces cell2fate, a model-based RNA velocity method that improves cell fate prediction by decomposing velocity solutions into modules and applying it to human brain development data.

bioRxiv · Aug 3, 2023 · PreprintGenomics

Cell2location maps fine-grained cell types in spatial transcriptomics

Vitalii Kleshchevnikov, Artem Shmatko, Emma Dann, Alexander Aivazidis, Hamish W. King, Tong Li, Rasa Elmentaite, Artem Lomakin, Veronika R. Kedlian, Adam Gayoso, Mika Sarkin Jain, Jun Sung Park, Lauma Ramona, Elizabeth J. Tuck, Anna Arutyunyan, , Omer Ali Bayraktar

cell2location uses a Bayesian model to integrate single-cell and spatial transcriptomics, mapping cell types in situ across mouse brain regions and human lymph node immune compartments.

Nature Biotechnology · Jan 13, 2022Peer-reviewedBioinformatics

Transcriptome-wide spatial RNA profiling maps the cellular architecture of the developing human neocortex

Kenny Roberts, Alexander Aivazidis, Vitalii Kleshchevnikov, Tong Li, Robin Fropf, Michael Rhodes, Joseph Beechem, Martin Hemberg, Omer Ali Bayraktar

This paper introduces a new spatial transcriptomic technology, WTA, and applies it to map the cellular architecture of the developing human neocortex, showing spatial enrichment of autism-related genes.

bioRxiv · Mar 20, 2021 · PreprintGenomics