Our Technology:

How it works: Genomic Proximity Mapping

a proprietary end-to-end platform for unique data generation and analysis

How it works: Genomic Proximity Mapping

a proprietary end-to-end platform for unique data generation and analysis

How it works: Genomic Proximity Mapping

a proprietary end-to-end platform for unique data generation and analysis

Proprietary biochemistry captures physical proximity of DNA sequences in the genome, generating a unique datatype

Proprietary biochemistry captures physical proximity of DNA sequences in the genome, generating a unique datatype

Proprietary Software / AI converts proximity data to genomic distances and finds rearrangements

Proprietary Software / AI converts proximity data to genomic distances and finds rearrangements

Comprehensive genome-wide view of chromosome abnormalities at high resolution.

Comprehensive genome-wide view of chromosome abnormalities at high resolution.

Key Publications:

1.            Chen, X. et al. Comprehensive Detection of Chromosomal and Genomic Abnormalities via Next-Generation Sequencing-Based Genomic Proximity Mapping Improves Diagnostic Classification of Hematologic Neoplasms. Cancers 17, 3775 (2025). https://doi.org/10.3390/cancers17233775 doi:10.3390/cancers17233775.

2.            Dennis, M. J. et al. Low PD-L1 expression, MAP2K2 alterations, and enriched HPV gene signatures characterize brain metastases in head and neck squamous cell carcinoma. J Transl Med 22, 960 (2024) https://doi.org/10.1186/s12967-024-05761-z doi:10.1186/s12967-024-05761-z.

3.            Fang, H. et al. Genetic and functional characterization of inherited complex chromosomal rearrangements in a family with multisystem anomalies. Genetics in Medicine Open https://doi.org/10.1016/j.gimo.2025.103423 doi:10.1016/j.gimo.2025.103423.

4.            Fang, H. et al. Evaluation of Genomic Proximity Mapping (GPM) for Detecting Genomic and Chromosomal Structural Variants in Constitutional Disorders. The Journal of Molecular Diagnostics S1525157825001941 (2025) doi:10.1016/j.jmoldx.2025.07.005.

5.            Kandasamy, R. K. et al. Genomic Proximity Mapping for Identification of Chromosomal Aberrations in Multiple Myeloma. American J Hematol ajh.70219 (2026) doi:10.1002/ajh.70219.

6.            Mejia Saldarriaga, M. et al. MYC rearrangements with immunoglobulin genes as an independent prognostic factor of progression-free survival in newly diagnosed patients. Blood 146, 361–361 (2025). https://doi.org/10.1182/blood-2025-361 doi:10.1182/blood-2025-361.

7.            Yeung, C. C. S. et al. Evaluation of acute myeloid leukemia using genomic proximity mapping-based next generation cytogenomics. Haematol https://doi.org/10.3324/haematol.2025.288461 (2026) doi:10.3324/haematol.2025.288461.

© 2026 CytoTerra Inc. All rights reserved. CytoTerra is a trademark of CytoTerra Inc. Developed and headquartered in Seattle, WA.

© 2026 CytoTerra Inc. All rights reserved. CytoTerra is a trademark of CytoTerra Inc. Developed and headquartered in Seattle, WA.

© 2026 CytoTerra Inc. All rights reserved. CytoTerra is a trademark of CytoTerra Inc. Developed and headquartered in Seattle, WA.