High-Throughput Multiplexed Quantification of Molecules by Aptamer Sequencing (Apt-seq) in Single Cells

The advent of high-throughput sequencing technologies is transforming life sciences into a quantitative paradigm. However, existing sequencing technologies for nondirectly sequencable molecules, such as antibody-sequencing and glycan-sequencing, face certain challenges, including the complexity of antibody-oligonucleotide conjugation procedures, potential steric hindrance, and the labor-intensive chemoenzymatic labeling. Aptamers, as directly sequencable nucleic acids, offer exceptional specificity, broad target range, and small size, making them ideal tools for multimodal molecular profiling. In this work, we present Apt-seq, an aptamer-based, high-throughput platform for multimodal omics quantification at single-cell resolution. This integrative strategy─termed Aptomics─enables parallel profiling of cell surface proteins, glycans, and mRNA. The feasibility of the platform was validated using commercial cell lines, demonstrating strong concordance between sequencing data and flow cytometry results at both bulk and single-cell levels. When applied to complex clinical samples, Apt-seq exhibited exceptional sensitivity and enabled the precise profiling of tumor heterogeneity. Notably, the platform identified a subpopulation of tumor cells with elevated PTK7 surface expression, a marker of stemness. These findings underscore the role of PTK7 in tumor stemness and its potential as a stem-like biomarker. Moreover, using an aptamer targeting sialic acid, we tracked the dynamic changes in sialylation during T cell differentiation, observing an increase in sialic acid levels as resting T cells transitioned into functional T cells, followed by a subsequent decline upon maturity. Collectively, we have developed a new form of multiomics, termed Aptomics, which employs aptamers to enable the sequencing of molecules that are not directly sequenceable, such as proteins and glycans, etc. Apt-seq enables the simultaneous quantitation of both directly and nondirectly sequencable molecules, offering a versatile and scalable platform for the comprehensive quantification of molecules of life in complex biological systems and advancing quantitative science.

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Publication Details

Journal
Journal of the American Chemical Society
Published
2025-06-09
DOI
https://doi.org/10.1021/jacs.5c01296
Citations
5
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
4.03

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article

High-Throughput Multiplexed Quantification of Molecules by Aptamer Sequencing (Apt-seq) in Single Cells

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5 citations
Journal of the American Chemical Society
Single-cell and spatial transcriptomics
4.03
article

High-Throughput Multiplexed Quantification of Molecules by Aptamer Sequencing (Apt-seq) in Single Cells

Tao Bing, Lifei Zhang, Ruizi Peng, Weihong Tan, Xinrui Lin, Yamin Tan, Jia Tao Song, Dengwei Zhang, Xiaoqiu Wu, Yuqing Liu, Rui Cheng, Xiaoxu Ma, Qin Wu, Huidong Huang
article en
5 citations

Abstract

The advent of high-throughput sequencing technologies is transforming life sciences into a quantitative paradigm. However, existing sequencing technologies for nondirectly sequencable molecules, such as antibody-sequencing and glycan-sequencing, face certain challenges, including the complexity of antibody-oligonucleotide conjugation procedures, potential steric hindrance, and the labor-intensive chemoenzymatic labeling. Aptamers, as directly sequencable nucleic acids, offer exceptional specificity, broad target range, and small size, making them ideal tools for multimodal molecular profiling. In this work, we present Apt-seq, an aptamer-based, high-throughput platform for multimodal omics quantification at single-cell resolution. This integrative strategy─termed Aptomics─enables parallel profiling of cell surface proteins, glycans, and mRNA. The feasibility of the platform was validated using commercial cell lines, demonstrating strong concordance between sequencing data and flow cytometry results at both bulk and single-cell levels. When applied to complex clinical samples, Apt-seq exhibited exceptional sensitivity and enabled the precise profiling of tumor heterogeneity. Notably, the platform identified a subpopulation of tumor cells with elevated PTK7 surface expression, a marker of stemness. These findings underscore the role of PTK7 in tumor stemness and its potential as a stem-like biomarker. Moreover, using an aptamer targeting sialic acid, we tracked the dynamic changes in sialylation during T cell differentiation, observing an increase in sialic acid levels as resting T cells transitioned into functional T cells, followed by a subsequent decline upon maturity. Collectively, we have developed a new form of multiomics, termed Aptomics, which employs aptamers to enable the sequencing of molecules that are not directly sequenceable, such as proteins and glycans, etc. Apt-seq enables the simultaneous quantitation of both directly and nondirectly sequencable molecules, offering a versatile and scalable platform for the comprehensive quantification of molecules of life in complex biological systems and advancing quantitative science.

Journal of the American Chemical SocietyVol. 147(24)
Hunan University (CN), Shanghai Jiao Tong University (CN), Chinese Academy of Sciences (CN), Renji Hospital (CN), Zhejiang Cancer Hospital (CN), Theranostics (New Zealand) (NZ), Institute of Molecular Medicine (IN), University of Chinese Academy of Sciences (CN), State Key Laboratory of Chemobiosensing and Chemometrics (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences
Openalex Percentile: Top 6%
Single-cell and spatial transcriptomics
4.03
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