PIVOT: an open-source tool for multi-omic spatial data registration

Date:	June 8, 2025
PMID:	https://pmc.ncbi.nlm.nih.gov/articles/PMC12259011/
Category:	N/A
Authors:	André Forjaz, Valentina Matos Romero, Ian Reucroft, Margaret Eminizer, Donald Kramer, Daniela Higuera, Hengameh Mojdeganlou, Paola A Guerrero, Jimin Min, Meredith Wetzel, Dmitrijs Lvovs, Alens Valentin, Sarah M Shin, Xuan Yuan, Rosalie C Sears, Koei Chin, Anirban Maitra, Elana J Fertig, Won Jin Ho, Luciane T Kagohara, Laura D Wood, Denis Wirtz, Dimitrios N Sidiropoulos, Ashley L Kiemen
Abstract:

Advances in spatial profiling have resulted in the generation of multi-omic atlases that span biological scales. In general, multiple workflows are required for image registration, coordinate registration, and spot deconvolution to integrate modalities. To improve the throughput of registration of multi-omic cohorts, we introduce PIVOT, a user-friendly and open-source interface for streamlined nonlinear registration. We demonstrate PIVOT's strengths through registration of three multi-omic datasets, and show comparison of its performance to existing workflows.

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Acknowledgements:

The content of this article is solely the responsibility of the authors and does not necessarily represent the official views of the National Cancer Institute, or the National Institute of Health.

The Translational and Basic Science Research in Early Lesions (TBEL) Research Consortia is supported and funded by grants from the National Cancer Institute and the National Institutes of Health under the following award numbers:

Project Number:	Awardee Organization
U54CA274374	Fred Hutchinson Cancer Center
U54CA274375	Houston Methodist Research Institute
U54CA274370	Johns Hopkins University
U54CA274371	UT MD Anderson Cancer Center
U54CA274367	Vanderbilt University Medical Center