Key Takeaways & Executive Findings
- •• AOCs convert protein detection into DNA-based readouts, enabling sensitive and scalable spatial proteomics. • AOC-based technologies support multiplexed protein analysis and in situ protein-protein interaction mapping. • AOCs are compatible with multi-omics integration, advancing understanding of tissue complexity and disease pathology. • Key challenges include reproducibility, conjugation efficiency, and imaging compatibility, guiding future standardization and scalability.
Abstract
Spatial biology aims to elucidate cellular organization, function, and interactions within native tissue contexts, offering key insights into both normal physiology and disease. Spatial proteomics complements this by enabling high-resolution mapping of protein localization and abundance, directly reflecting functional cellular states. Unlike transcriptomics, which infers potential activity, proteomics captures actual molecular functions, including post-translational modifications and dynamic interactions. However, in situ protein profiling poses significant challenges, as proteins cannot be directly sequenced or easily targeted via nucleic acid hybridization. Antibody-oligonucleotide conjugates (AOCs) address this limitation by converting protein recognition into a DNA-based readout, thereby enabling sensitive and scalable detection. In this review, we outline the core principles of AOC-based spatial proteomic technologies, including multiplexed protein analysis, in situ protein-protein interactions, and integration with other biomolecular data. We highlight their applications in decoding tissue complexity and disease pathology and examine key technical challenges that remain. Overall, AOCs offer distinct advantages, including DNA-mediated signal amplification, spatially resolved proteomic profiling, and compatibility with multi-omics approaches, positioning them as powerful platforms in the advancement of spatial biology.
1. Introduction
The spatial organization of proteins within eukaryotic cells governs essential biological processes, such as gene expression, signal transduction, and apoptosis [1]. Protein mislocalization is implicated in various diseases, including neurodegenerative disorders, cancer, and metabolic dysfunctions [2]. Characterizing protein distribution at the subcellular level is therefore critical for deciphering disease mechanisms and identifying potential therapeutic targets. Spatial proteomics has emerged as a powerful approach, enabling high-resolution mapping of protein distribution in intact tissues and single cells. Unlike traditional proteomics, which quantifies protein abundance, spatial proteomics reveals cellular heterogeneity by mapping subcellular localization and protein-protein interactions (PPIs), thereby enabling the precise characterization of cellular functions and disease progression [3].
Traditional methods, such as mass spectrometry (MS), immunohistochemistry (IHC), and immunofluorescence (IF), have advanced the field but still face limitations in spatial resolution, multiplexing capacity, and sensitivity [4–6]. In response, several emerging modalities have been developed, including aptamer-based platforms that leverage synthetic oligonucleotide binders for protein detection [7]. While aptamers offer advantages in chemical stability and in vitro selection, antibody-oligonucleotide conjugates (AOCs) combine the high specificity and affinity of antibodies with the versatility of DNA-based detection, enabling highly multiplexed and spatially resolved proteomic profiling.
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Yinghui Qiu, Chunlan Li, Peiying Ye, Haiyun Zhang, Yanxiu Liu, Weiyan Ma, Chen Lin, Rongqin Ke (2026). Antibody-oligonucleotide conjugates for spatial proteomics: principles, applications, and challenges. Acta Biochimica et Biophysica Sinica. https://doi.org/10.3724/abbs.2025212
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Frequently Asked Questions
What are antibody-oligonucleotide conjugates (AOCs) and how do they work?
AOCs are hybrid molecules that combine the high specificity of antibodies with the versatility of oligonucleotides. They convert protein recognition into a DNA-based readout, enabling sensitive detection and signal amplification for spatial proteomics.
What are the main applications of AOC-based spatial proteomics?
AOC-based technologies are used for multiplexed protein analysis, in situ protein-protein interaction mapping, and integration with other biomolecular data, aiding in decoding tissue complexity and disease pathology.
What are the key advantages of using AOCs over traditional methods?
AOCs offer DNA-mediated signal amplification, spatially resolved proteomic profiling, and compatibility with multi-omics approaches, overcoming limitations of traditional methods like mass spectrometry and immunohistochemistry in spatial resolution and multiplexing capacity.
What are the current challenges in AOC-based spatial proteomics?
Challenges include reproducibility, conjugation efficiency, and imaging compatibility. Future directions focus on enhancing scalability, standardization, and integration with computational methods.
How do AOCs compare to aptamer-based platforms?
While aptamers offer chemical stability and in vitro selection, AOCs leverage the high specificity and affinity of antibodies combined with DNA-based detection, enabling highly multiplexed and spatially resolved proteomic profiling.
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