A Validation Workflow for Novel Oligonucleotide Sequences to Expand the Multiplexing Capacity of the CO-Detection by indEXing (CODEX) Platform
Year: 2025
Type: article
Abstract: Antibody-based multiplexed tissue imaging has the potential to provide critical advances in biological discoveries and their translation for clinical applications. With the increasing introduction of markers and modalities for spatial analysis, there is an according demand for the expansion of multiplexing capacities of such imaging platforms. CO-Detection by indEXing (CODEX) is a widely used multiplexed tissue imaging platform that utilizes DNA-conjugated antibodies for imaging. The multiplexing capacity of CODEX is limited by the availability of unique DNA-oligonucleotide sequences for antibody barcoding. In this study, we demonstrate a workflow for the validation and the introduction of novel sets of candidate DNA-oligonucleotide sequences for CODEX. Through cross-validation multicycle experiments with the already published library of DNA barcodes, we here present a set of 27 novel oligonucleotide sequences for CODEX, increasing the potential multiplexing capacity to 85+ markers. We confirmed the utility of the new barcodes using a 74-plex antibody panel on a multitumor tissue microarray of paraffin-embedded tissues. The workflow presented here provides a reproducible method for extending the plexity of the CODEX platform, facilitating a deeper understanding of tissue microenvironments.
Source: Laboratory Investigation
Authors: Alexander Rochwarger, Louisa Kaufmann, Jing Zhao, Ahmad Makky, Nhat Anh Nguyen, Nastassja Lehmann, Nikolay Samusik, Christine Beschorner, Saumya S. Manmadhan, Karen Greif, Christian M. Schürch
Institutions: Universitätsklinikum Tübingen, University of Tübingen
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $4,480
Funders: Leukemia Research Foundation, European Commission, Deutsche Forschungsgemeinschaft, Krebsliga Schweiz, Dr. Werner Jackstädt-Stiftung, China Scholarship Council, Swiss Cancer Research Foundation, European Research Council, Bundesinstitut für Risikobewertung, Medizinischen Fakultät, Eberhard Karls Universität Tübingen, H2020 European Research Council
OpenAlex ID: W4410816349
