Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Systematic functional screening of switchable aptamer beacon probes

Abstract

Immunoassays using affinity binders such as antibodies and aptamers are crucial for molecular biology. However, the advancement of analytical methods based on these affinity probes is often hampered by complex operational steps that can introduce errors, particularly in intricate environments such as intracellular settings and microfluidic systems. There is growing interest in developing molecular probes for wash-free assays that activate signals upon target detection. Here we report a systematic functional screening platform for switchable aptamer beacon probes that can achieve target-responsive detection. A stem–loop, hairpin-shaped beacon library was constructed on microbeads and screened using target-responsive fluorescence-activated sorting. The selected aptamer beacons exhibit strong affinities, triggering fluorescence only upon binding, thus enabling wash-free immunoassays for the detection of intracellular and membrane proteins. Computational modelling offers insights into aptamer binding and structural switching mechanisms, revealing how specific protein–aptamer interactions drive stem–loop unwinding and postbinding conformational changes critical for functional activation. This approach establishes a standardized platform for generating switchable aptameric tools, supporting their potential in advanced diagnostics and research.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Schematic illustration of the library construction and the systematic functional screening process of the aptamer beacons.
Fig. 2: FACS sorting, reverse amplification and sequencing analysis in the systematic functional screening procedure of IL-2 and HER2.
Fig. 3: Characterization of aptamer beacons selected against cytokine IL-2.
Fig. 4: IL-2 aptamer beacons for immunoassay and intracellular cytokine detection.
Fig. 5: Characterization of aptamer beacons selected against membrane protein HER2.
Fig. 6: HER2 aptamer beacons for wash-free membrane protein analysis of cells and EVs.
Fig. 7: MD simulation workflow and the simulated structures of AB-H10 binding to HER2 ECD.
Fig. 8: Aptamer beacons for PD-L1, GPC-3, IFN-γ and TNF.

Similar content being viewed by others

Data availability

The crystal structure of the HER2 ECD (PDB ID: 6BGT) obtained from the Protein Data Bank47 was supplemented with missing residues spanning positions 22–132, 603–609 and 629–652 using the Homology Model module integrated into the MOE2019 software (https://www.chemcomp.com/en/Products.htm). The main data supporting the results in this study are available within the article and its Supplementary Information. Source data are provided with this paper. The sequencing data files are too large to be publicly shared, but they are available from the corresponding author upon reasonable request. All other data generated in this study are available via figshare at https://doi.org/10.6084/m9.figshare.28934987 (ref. 54).

References

  1. Flynn, C. D. et al. Biomolecular sensors for advanced physiological monitoring. Nat. Rev. Bioeng. 1, 560–575 (2023).

    Article  CAS  Google Scholar 

  2. Kuru, E. et al. Rapid discovery and evolution of nanosensors containing fluorogenic amino acids. Nat. Commun. 15, 7531 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Zhang, J. et al. A prostate-specific membrane antigen activated molecular rotor for real-time fluorescence imaging. Nat. Commun. 12, 5460 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Wang, D. & Tang, B. Z. Aggregation-induced emission luminogens for activity-based sensing. Acc. Chem. Res. 52, 2559–2570 (2019).

    Article  CAS  PubMed  Google Scholar 

  5. Zang, T. et al. In vitro light-up visualization of a subunit-specific enzyme by an AIE probe via restriction of single molecular motion. Angew. Chem. Int. Ed. Engl. 59, 10003–10007 (2020).

    Article  CAS  PubMed  Google Scholar 

  6. Feng, G. et al. When AIE meets enzymes. Analyst 147, 3958–3973 (2022).

    Article  CAS  PubMed  Google Scholar 

  7. Shi, X. et al. A red-emissive antibody-AIEgen conjugate for turn-on and wash-free imaging of specific cancer cells. Chem. Sci. 8, 7014–7024 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Wang, W. et al. Real-time imaging of cell-surface proteins with antibody-based fluorogenic probes. Chem. Sci. 12, 13477–13482 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Fu, H. J. et al. Rapid and wash-free time-gated FRET histamine assays using antibodies and aptamers. ACS Sens. 7, 1113–1121 (2022).

    Article  CAS  PubMed  Google Scholar 

  10. Dai, Y. et al. Intra Q-body: an antibody-based fluorogenic probe for intracellular proteins that allows live cell imaging and sorting. Chem. Sci. 13, 9739–9748 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Jeong, H. J. et al. Development of a quenchbody for the detection and imaging of the cancer-related tight-junction-associated membrane protein claudin. Anal. Chem. 89, 10783–10789 (2017).

    Article  CAS  PubMed  Google Scholar 

  12. Abe, R. et al. “Quenchbodies”: quench-based antibody probes that show antigen-dependent fluorescence. J. Am. Chem. Soc. 133, 17386–17394 (2011).

    Article  CAS  PubMed  Google Scholar 

  13. Peng, Q., Xiong, T., Ji, F., Ren, J. & Jia, L. Reduction-activatable fluorogenic nanobody for targeted and low-background bioimaging. Anal. Chem. 95, 2804–2811 (2023).

    Article  CAS  PubMed  Google Scholar 

  14. Kobayashi, T. et al. Highly activatable and environment-insensitive optical highlighters for selective spatiotemporal imaging of target proteins. J. Am. Chem. Soc. 134, 11153–11160 (2012).

    Article  CAS  PubMed  Google Scholar 

  15. Yoshikawa, A. M. et al. A massively parallel screening platform for converting aptamers into molecular switches. Nat. Commun. 14, 2336 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Poudineh, M. et al. A fluorescence sandwich immunoassay for the real-time continuous detection of glucose and insulin in live animals. Nat. Biomed. Eng. 5, 53–63 (2021).

    Article  CAS  PubMed  Google Scholar 

  17. Kolpashchikov, D. M. & Spelkov, A. A. Binary (split) light-up aptameric sensors. Angew. Chem. Int. Ed. Engl. 60, 4988–4999 (2021).

    Article  CAS  PubMed  Google Scholar 

  18. Chang, D. et al. Functional nucleic acids for pathogenic bacteria detection. Acc. Chem. Res. 54, 3540–3549 (2021).

    Article  CAS  PubMed  Google Scholar 

  19. Zhang, Z., Sen, P., Adhikari, B. R., Li, Y. & Soleymani, L. Development of nucleic-acid-based electrochemical biosensors for clinical applications. Angew. Chem. Int. Ed. Engl. 61, e202212496 (2022).

    Article  CAS  PubMed  Google Scholar 

  20. Moutsiopoulou, A., Broyles, D., Dikici, E., Daunert, S. & Deo, S. K. Molecular aptamer beacons and their applications in sensing, imaging, and diagnostics. Small 15, e1902248 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  21. Fang, C. et al. Signal-on fluorescence biosensor for highly sensitive detection of miRNA-21 based on DNAzyme assisted double-hairpin molecular beacon. Biosensors 12, 276 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Wolfe, M. et al. Rational approach to optimizing conformation-switching aptamers for biosensing applications. ACS Sens. 9, 717–725 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Shi, Y. K. et al. A demethylation-switchable aptamer design enables lag-free monitoring of m6A demethylase FTO with energy self-sufficient and structurally integrated features. J. Am. Chem. Soc. 146, 34638–34650 (2024).

  24. Deng, J., Liu, C. & Sun, J. DNA-based nanomaterials for analysis of extracellular vesicles. Adv. Mater. 36, e2303092 (2023).

    Article  PubMed  Google Scholar 

  25. Ji, C. et al. Aptamer–protein interactions: from regulation to biomolecular detection. Chem. Rev. 123, 12471–12506 (2023).

    Article  CAS  PubMed  Google Scholar 

  26. Kong, D., Thompson, I. A. P., Maganzini, N., Eisenstein, M. & Soh, H. T. Aptamer–antibody chimera sensors for sensitive, rapid, and reversible molecular detection in complex samples. ACS Sens. 9, 1168–1177 (2024).

    Article  CAS  PubMed  Google Scholar 

  27. Seo, J. W. et al. Real-time monitoring of drug pharmacokinetics within tumor tissue in live animals. Sci. Adv. 8, eabk2901 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Li, Y. et al. Molecular identification of tumor-derived extracellular vesicles using thermophoresis-mediated DNA computation. J. Am. Chem. Soc. 143, 1290–1295 (2021).

    Article  CAS  PubMed  Google Scholar 

  29. Deng, J. et al. One-step thermophoretic AND gate operation on extracellular vesicles improves diagnosis of prostate cancer. Angew. Chem. Int. Ed. Engl. 61, e202207037 (2022).

    Article  CAS  PubMed  Google Scholar 

  30. Xie, S. et al. Aptamer-based optical manipulation of protein subcellular localization in cells. Nat. Commun. 11, 1347 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Tan, J. et al. Electron transfer-triggered imaging of EGFR signaling activity. Nat. Commun. 13, 594 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Nakatsuka, N. et al. Aptamer-field-effect transistors overcome Debye length limitations for small-molecule sensing. Science 362, 319–324 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Wang, B. et al. Wearable aptamer-field-effect transistor sensing system for noninvasive cortisol monitoring. Sci. Adv. 8, eabk0967 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Zhao, C. et al. Implantable aptamer-field-effect transistor neuroprobes for in vivo neurotransmitter monitoring. Sci. Adv. 7, eabj7422 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Feng, Q. et al. A fluorogenic DNAzyme for a thermally stable protein biomarker from Fusobacterium nucleatum, a human bacterial pathogen. Angew. Chem. Int. Ed. Engl. 62, e202306272 (2023).

    Article  CAS  PubMed  Google Scholar 

  36. Zhou, Q. et al. In vitro selection of M(2+)-independent, fast-responding acidic deoxyribozymes for bacterial detection. J. Am. Chem. Soc. 145, 21370–21377 (2023).

    Article  CAS  PubMed  Google Scholar 

  37. Hu, Q. et al. DNAzyme-based faithful probing and pulldown to identify candidate biomarkers of low abundance. Nat. Chem. 16, 122–131 (2024).

    Article  CAS  PubMed  Google Scholar 

  38. Li, J. et al. Functional aptamers in vitro evolution for intranuclear blockage of RNA–protein interaction. J. Am. Chem. Soc. 146, 24654–24662 (2024).

    Article  CAS  PubMed  Google Scholar 

  39. Wu, D., Gordon, C. K. L., Shin, J. H., Eisenstein, M. & Soh, H. T. Directed evolution of aptamer discovery technologies. Acc. Chem. Res. 55, 685–695 (2022).

    Article  CAS  PubMed  Google Scholar 

  40. Wang, J. et al. Particle display: a quantitative screening method for generating high-affinity aptamers. Angew. Chem. Int. Ed. Engl. 53, 4796–4801 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Wang, J. et al. Multiparameter particle display (MPPD): a quantitative screening method for the discovery of highly specific aptamers. Angew. Chem. Int. Ed. Engl. 56, 744–747 (2017).

    Article  CAS  PubMed  Google Scholar 

  42. Li, X., Zhao, L., Chen, C., Nie, J. & Jiao, B. Can EGFR be a therapeutic target in breast cancer? Biochim. Biophys. Acta Rev. Cancer 1877, 188789 (2022).

    Article  CAS  PubMed  Google Scholar 

  43. Wang, M. et al. Effect of exosome biomarkers for diagnosis and prognosis of breast cancer patients. Clin. Transl. Oncol. 20, 906–911 (2018).

    Article  CAS  PubMed  Google Scholar 

  44. Kitano, K., Kim, S. Y. & Hakoshima, T. Structural basis for DNA strand separation by the unconventional winged-helix domain of RecQ helicase WRN. Structure 18, 177–187 (2010).

    Article  CAS  PubMed  Google Scholar 

  45. Deng, X. et al. Comparative analysis of evolutionarily conserved motifs of epidermal growth factor receptor 2 (HER2) predicts novel potential therapeutic epitopes. PLoS ONE 9, e106448 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  46. Niazi, S., Purohit, M., Sonawani, A. & Niazi, J. H. Revealing the molecular interactions of aptamers that specifically bind to the extracellular domain of HER2 cancer biomarker protein: an assessment. J. Mol. Graph. Model. 83, 112–121 (2018).

    Article  CAS  PubMed  Google Scholar 

  47. Berman, H., Henrick, K. & Nakamura, H. Announcing the worldwide Protein Data Bank. Nat. Struct. Biol. 10, 980 (2003).

    Article  CAS  PubMed  Google Scholar 

  48. Laio, A. & Parrinello, M. Escaping free-energy minima. Proc. Natl Acad. Sci. USA 99, 12562–12566 (2002).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Piana, S. & Laio, A. A bias-exchange approach to protein folding. J. Phys. Chem. B 111, 4553–4559 (2007).

    Article  CAS  PubMed  Google Scholar 

  50. Marinelli, F., Pietrucci, F., Laio, A. & Piana, S. A kinetic model of trp-cage folding from multiple biased molecular dynamics simulations. PLoS Comput. Biol. 5, e1000452 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  51. Tian, C. et al. ff19SB: amino-acid-specific protein backbone parameters trained against quantum mechanics energy surfaces in solution. J. Chem. Theory Comput. 16, 528–552 (2020).

    Article  PubMed  Google Scholar 

  52. Galindo-Murillo, R. et al. Assessing the current state of Amber force field modifications for DNA. J. Chem. Theory Comput. 12, 4114–4127 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Liu, W., Liu, Z., Liu, H., Westerhoff, L. M. & Zheng, Z. Free energy calculations using the movable type method with molecular dynamics driven protein–ligand sampling. J. Chem. Inf. Model. 62, 5645–5665 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Cheng, X., Yao, P. & Zhang, L. Systematic functional screening of switchable aptamer probes—data sets. figshare https://doi.org/10.6084/m9.figshare.28934987 (2025).

Download references

Acknowledgements

We thank J. Sun from the National Center for Nanoscience and Technology, China, and X. Fang from the Hangzhou Institute of Medicine, Chinese Academy of Sciences, for their long-term collaboration and insightful discussions. We also extend our thanks to the staff at the Peking University Medical and Health Analysis Center and the State Key Laboratory of Natural and Biomimetic Drugs for their invaluable assistance with instrumental analysis. L.Z. discloses support for the research described in this study from the National Key R&D Program of China (grant nos. 2022YFA1304501 and 2023YFF1205902), the National Natural Science Foundation of China (grant nos. 22227805 and 22374004) and Excellent Young Scientists Fund Program (Overseas).

Author information

Authors and Affiliations

Authors

Contributions

X.C., P.Y. and L.Z. conceptualized and designed the research. X.C., P.Y., C.J., X.Z., T.W., Q.L., Y.C., H.S., H.X. and S.B. performed the experiments. X.C., P.Y. and L.Z. analysed the experimental data. W.L. and Z.Z. conducted computations. P.Y., X.C., W.L., Z.Z. and L.Z. prepared the figures and wrote the paper. All authors discussed the results and commented on the paper. L.Z. guided and supervised the research.

Corresponding author

Correspondence to Liqin Zhang.

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Nature Biomedical Engineering thanks Hyun Gyu Park, Hao Yan and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Extended data

Extended Data Fig. 1 Schematic illustration and flow cytometry validation of the library construction.

The monoclonal microbeads library of aptamer beacons screening was constructed by emulsion PCR amplification, restriction enzyme-enabled site-specific modification, and exonuclease-digested single-strand generation, which were tested on primer-immobilized microbeads using. The library comprises a randomized region (pink), forward primers (blue and yellow), and reverse primer binding sites (yellow and green). Intramolecular complementary regions (yellow) and restriction enzyme cutting sites (letters) are embedded within. Fluorophores and quenchers are both attached onto dU bases.

Extended Data Fig. 2 Predicted structures of selected aptamer beacons against IL-2.

Each aptamer beacon for HER2 are illustrated by the predicted 2D structure (http://www.unafold.org/mfold/applications/dna-folding-form.php) and predicted 3D structure (http://biophy.hust.edu.cn/new/3dRNA/create).

Extended Data Fig. 3 Concentration-dependent fluorescence restoration of selected aptamer beacons (Cy3 and BHQ1) in response to gradient concentration of IL-2.

a, The target protein bound to the aptamer beacon, and the fluorescence of the aptamer beacon was restored. b, The fluorescence of AB-I2 was related to the change in the concentration of the target protein. c, The fluorescence of AB-I5 was related to the change in the concentration of the target protein. d, The fluorescence of AB-I5 was related to the change in the concentration of the target protein.

Extended Data Fig. 4 Specificity of AB-I2 Across Different Cell Types.

a, AB-I2 does not respond to cytokines produced by Raji cells. Experiments were performed in triplicate. Data are expressed as mean ± s.d of biological replicates. (t test statistic, two tailed, n = 3) b, AB-I2 does not respond to cytokines produced by THP-1 cells. Experiments were performed in triplicate. Data are expressed as mean ± s.d of biological replicate. (t test statistic, two tailed, n = 3).

Source data

Extended Data Fig. 5 Intracellular cytokine monitoring.

a, Selection of infectious agents. Using Lipofectamine 3000 to transfect AB-I2 into Jurkat cells, the distinction between activated and non-activated Jurkat cells can be achieved. b, Observation of the specific processes of activated and non-activated Jurkat cells through confocal microscopy. Lipofectamine 3000 was used to transfect AB-i2 into Jurkat cells that had been treated with ConA and Brefeldin A for 3 hours. After incubation for 1 hour, the cells were observed under a confocal microscope. c, Activated Jurkat cells can be observed under a confocal microscope with more obvious fluorescence than inactivated Jurkat cells. Three fields of view were randomly selected for each sample for shooting. Due to limited space, only one of the fields of view is shown here.

Extended Data Fig. 6 Predicted structures of selected aptamer beacons against HER2.

Each aptamer beacon for HER2 are illustrated by the predicted 2D structure (http://www.unafold.org/mfold/applications/dna-folding-form.php) and predicted 3D structure (http://biophy.hust.edu.cn/new/3dRNA/create).

Extended Data Fig. 7 Further characterization of AB-H10 interaction with HER2 protein.

a, Schematic diagram illustrating the principle of Pull-Down experiments to validate probe targets. Cells were lysed, and membrane proteins were extracted and incubated with biotinylated aptamer beacons, followed by capturing by streptavidin-coated microbeads. The complex was resolved by SDS-PAGE. b, Conducting Pull-Down experiments using various aptamer beacons on HER2( + ) AU565 cells, followed by Western Blot experiments with HER2 antibodies to confirm the protein bands originating from HER2.This experiment was repeated once with similar results. c, Schematic illustration of AB-H10 incubated with protein-immobilized microbeads. d, AB-H10 specifically binds to HER2-immobilized beads rather than EGFR-immobilized beads or empty beads.

Source data

Extended Data Fig. 8 Estimation of the half-life of aptamer beacons in different solution systems.

a, the half-life of AB-I2 in PBS. b, the half-life of AB-I2 in Binding Buffer. c, the half-life of AB-I2 in DMEM. d, the half-life of AB-I2 in DMEM + 10%FBS. e, the half-life of AB-H10 in PBS. f, the half-life of AB-H10 in Binding Buffer. g, the half-life of AB-H10 in DMEM.h, the half-life of AB-H10 in DMEM + 10%FBS. The solutions were sampled at different time points with three biological replicates, and fluorescence was detected using BioTek equipment. Data are expressed as mean ± s.d of biological replicates. The concentrations of AB-I2 and AB-H10 were 500 nM, and the incubation was performed at 37 °C. The solutions were analyzed by running them on a 15% PAGE gel, which was then stained with GelRed dye.

Source data

Extended Data Fig. 9 Intracellular Stability Estimation for AB-I2.

a, Estimate of the intracellular half-life of AB-I2 delivered by Lipo3000. Changes in fluorescence intensity of Cy3 in cells over incubation time. b, Intracellular degradation curve of AB-I2. Experiments were performed in triplicate. Data are expressed as mean ± s.d of biological replicates. c, Prediction of the Tm value of AB-I2 under intracellular ion concentrations. (http://www.unafold.org/mfold/applications/dna-folding-form.php).

Source data

Extended Data Fig. 10 Prediction and estimation of the melting temperature of AB-I2 and AB-H10.

a, Prediction and estimate of Tm value of AB-I2 in PBS. b, Prediction and estimate of Tm value of AB-I2 in Binding Buffer. c, Prediction and estimate of Tm value of AB-I2 in DMEM. d, Prediction and estimate of Tm value of AB-H10 in PBS. e, Prediction and estimate of Tm value of AB-H10 in Binding Buffer. f, Prediction and estimate of Tm value of AB-H10 in DMEM. (http://www.unafold.org/mfold/applications/dna-folding-form.php) Experiments were performed in triplicate. Data are expressed as mean ± s.d of biological replicates.

Source data

Supplementary information

Supplementary Information

Supplementary Figs. 1–4 and Tables 1–12.

Reporting Summary

Supplementary Video 1

Simulation of the mechanism of the HER2 aptamer beacon. Left: a 1-μs metadynamics simulation revealed the molecular mechanism of AB-H10 base-pair separation at the HER2 ECD binding site. Right: an unwound AB-H10 structure was generated using a protein structure modelling program, RoseTTAFold, and refined with a 10-ns MD simulation.

Source data

Source Data Fig. 2

Statistical source data and unprocessed gels.

Source Data Fig. 4

Statistical source data.

Source Data Fig. 8

Statistical source data.

Source Data Extended Data Fig. 4

Statistical source data.

Source Data Extended Data Fig. 7

Unprocessed gels.

Source Data Extended Data Fig. 8

Statistical source data and unprocessed gels.

Source Data Extended Data Fig. 9

Statistical source data.

Source Data Extended Data Fig. 10

Statistical source data.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Cheng, X., Yao, P., Jin, C. et al. Systematic functional screening of switchable aptamer beacon probes. Nat. Biomed. Eng (2025). https://doi.org/10.1038/s41551-025-01503-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1038/s41551-025-01503-8

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing