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Rui Liang, Xinjia Shuai, Beibei Lou, Kunhan Nie, Lin Liu, Lei Zhan, Chengzhi Huang, Jingtao Huang, Chunmei Li. Different dimensional DNA nanostructures in receptor aggregation and cancer cell behavior modulation[J]. Journal of Pharmaceutical Analysis. doi: 10.1016/j.jpha.2026.101646
Citation: Rui Liang, Xinjia Shuai, Beibei Lou, Kunhan Nie, Lin Liu, Lei Zhan, Chengzhi Huang, Jingtao Huang, Chunmei Li. Different dimensional DNA nanostructures in receptor aggregation and cancer cell behavior modulation[J]. Journal of Pharmaceutical Analysis. doi: 10.1016/j.jpha.2026.101646

Different dimensional DNA nanostructures in receptor aggregation and cancer cell behavior modulation

doi: 10.1016/j.jpha.2026.101646
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This work was financially supported by the National Natural Science Foundation of China (NSFC) (Grant Nos.: 22074124 and 22134005), the Fundamental Research Funds for the Central Universities, China (Grant No.: XDJK2020TY001), Chongqing Talents Program for Outstanding Scientists, China (Grant No.: cstc2021ycjh-bgzxm0179), and Chongqing Municipal Postgraduate Scientific Research Innovation Project, China (Project No.: CYS25177).

  • Received Date: Sep. 16, 2025
  • Accepted Date: May 03, 2026
  • Rev Recd Date: Apr. 30, 2026
  • Available Online: May 06, 2026
  • Cell membrane receptors are pivotal in intracellular and extracellular communication, regulating various cellular processes, including growth, differentiation, and migration. Thus, modulating these receptors offers a promising strategy to control cell functions and behaviors. DNA nanostructures, with their excellent biocompatibility, precise sequence design, and programmable structural changes, have emerged as powerful tools in biomedical applications. This review explores the regulation of cell receptors by DNA nanostructures, classified into four binding modes, i.e., “point”, “line”, “plane”, and “network”, and examines their roles in cell migration, apoptosis, and immunoregulation, among others, with the aim of highlighting the potential of these nanostructures in advancing therapeutic strategies, particularly in cancer treatment. We highlight the potential of these nanostructures in advancing cancer therapeutics through precise receptor aggregation. Challenges such as in vivo stability and specificity are addressed, with future directions focusing on multifunctional dynamic tools and AI-assisted design systems.
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  • [1]
    V. Katritch, V. Cherezov, R.C. Stevens, Structure-function of the G protein-coupled receptor superfamily, Annu. Rev. Pharmacol. Toxicol. 53 (2013) 531-556.
    [2]
    Y. Du, F. Karatekin, W.K. Wang, et al., Cracking the EGFR code: Cancer biology, resistance mechanisms, and future therapeutic frontiers, Pharmacol. Rev. 77 (2025), 100076.
    [3]
    H. Geng, S. Zhi, X. Zhou, et al., Self-powered engineering of cell membrane receptors to on-demand regulate cellular behaviors, Nano Lett. 24 (2024) 7895-7902.
    [4]
    Y. Wang, Y. Xiong, L. Song, et al., Spatial control of receptor dimerization using programmable DNA nanobridge, Biomacromolecules 24 (2023) 3228-3236.
    [5]
    S.A. Shelby, I. Castello-Serrano, K.C. Wisser, et al., Membrane phase separation drives responsive assembly of receptor signaling domains, Nat. Chem. Biol. 19 (2023) 750-758.
    [6]
    S. Bi, W. Chen, Y. Fang, et al., Cancer cell-selective membrane receptor clustering driven by VEGF secretion for in vivo therapy, J. Am. Chem. Soc. 145 (2023) 5041-5052.
    [7]
    L. Li, J. Hu, B. Rozycki, et al., Intercellular receptor-ligand binding and thermal fluctuations facilitate receptor aggregation in adhering membranes, Nano Lett. 20 (2020) 722-728.
    [8]
    Y. Zhang, F. Cheng, R. Liang, et al., In situ activation of the receptor aggregation for cell apoptosis by an AI-Au intelligent nanomachine via tumor extracellular acidity, ACS Appl. Mater. Interfaces 15 (2023) 32262-32271.
    [9]
    F. Cheng, Y. Jiang, B. Kong, et al., Multi-catcher polymers regulate the nucleolin cluster on the cell surface for cancer therapy, Adv. Healthc. Mater. 12 (2023), 2300102.
    [10]
    T. Hermann, D.J. Patel, Adaptive recognition by nucleic acid aptamers, Science 287 (2000) 820-825.
    [11]
    Z. Lian, T. Ji, Functional peptide-based drug delivery systems, J. Mater. Chem. B 8 (2020) 6517-6529.
    [12]
    X. Wang, Y. Wang, K. Lee, et al., Display of polyvalent hybrid antibodies on the cell surface for enhanced cell recognition, Small Methods 8 (2024), 2301331.
    [13]
    Y. Li, W.W. Tam, Y. Yu, et al., The application of Aptamer in biomarker discovery, Biomark. Res. 11 (2023), 70.
    [14]
    Z. Huang, L. Qiu, T. Zhang, et al., Integrating DNA nanotechnology with aptamers for biological and biomedical applications, Matter 4 (2021) 461-489.
    [15]
    N.C. Seeman, Nucleic acid junctions and lattices, J. Theor. Biol. 99 (1982) 237-247.
    [16]
    P.W.K. Rothemund, Folding DNA to create nanoscale shapes and patterns, Nature 440 (2006) 297-302.
    [17]
    R. Qian, Z. Zhou, W. Guo, et al., Cell surface engineering using DNAzymes: Metal ion mediated control of cell-cell interactions, J. Am. Chem. Soc. 143 (2021) 5737-5744.
    [18]
    X. Xiong, H. Liu, Z. Zhao, et al., DNA aptamer-mediated cell targeting, Angew. Chem. Int. Ed. 52 (2013) 1472-1476.
    [19]
    J. Chen, N.C. Seeman, Synthesis from DNA of a molecule with the connectivity of a cube, Nature 350 (1991) 631-633.
    [20]
    Z. Wang, S. Xie, L. Wu, et al., Aptamer-functionalized nanodevices for dynamic manipulation of membrane receptor signaling in living cells, Nano Lett. 22 (2022) 7853-7859.
    [21]
    K. Zhang, Y. Ma, D. Wang, et al., In vivo activation of T-cell proliferation by regulating cell surface receptor clustering using a pH-driven interlocked DNA nano-spring, Nano Lett. 22 (2022) 1937-1945.
    [22]
    H. Ji, Q. Zhu, Application of intelligent responsive DNA self-assembling nanomaterials in drug delivery, J. Control. Release 361 (2023) 803-818.
    [23]
    N. Diao, J. Hou, X. Peng, et al., Multiplexed and quantitative imaging of live-cell membrane proteins by a precise and controllable DNA-encoded amplification reaction, Angew. Chem. Int. Ed. 63 (2024), e202406330.
    [24]
    M. Wang, F. He, H. Li, et al., Near-infrared light-activated DNA-agonist nanodevice for nongenetically and remotely controlled cellular signaling and behaviors in live animals, Nano Lett. 19 (2019) 2603-2613.
    [25]
    S. Qiao, Y. Wang, Y. Lin, et al., Thermo-controlled in situ phase transition of polymer-peptides on cell surfaces for high-performance proliferative inhibition, ACS Appl. Mater. Interfaces 8 (2016) 17016-17022.
    [26]
    N. Vogt, Miniature magnetic force probes, Nat. Methods 13 (2016), 544.
    [27]
    B. Li, Y. Wang, B. Liu, Transformable DNA nanorobots reversibly regulating cell membrane receptors for modulation of cellular migrations, ACS Nano 17 (2023) 22571-22579.
    [28]
    S. Chen, Z. Xu, W. Yang, et al., Logic-gate-actuated DNA-controlled receptor assembly for the programmable modulation of cellular signal transduction, Angew. Chem. Int. Ed. 58 (2019) 18186-18190.
    [29]
    B.R. Deal, R. Ma, V.P. Ma, et al., Engineering DNA-functionalized nanostructures to bind nucleic acid targets heteromultivalently with enhanced avidity, J. Am. Chem. Soc. 142 (2020) 9653-9660.
    [30]
    X. Yang, L. Yang, D. Yang, et al., In situ DNA self-assembly on the cell surface drives unidirectional clustering of membrane proteins for the modulation of cell behaviors, Nano Lett. 22 (2022) 3410-3416.
    [31]
    M. Garcia-Chame, P. Wadhwani, J. Pfeifer, et al., A versatile microfluidic platform for extravasation studies based on DNA origami-Cell interactions, Angew. Chem. Int. Ed. 63 (2024), e202318805.
    [32]
    Y. Hu, J. Rogers, Y. Duan, et al., Quantifying T cell receptor mechanics at membrane junctions using DNA origami tension sensors, Nat. Nanotechnol. 19 (2024) 1674-1685.
    [33]
    E. Akbari, M.Y. Mollica, C.R. Lucas, et al., Engineering cell surface function with DNA origami, Adv. Mater. 29 (2017), 1703632.
    [34]
    Y. Ma, Y. Zhu, H. Wu, et al., Domain-targeted membrane partitioning of specific proteins with DNA nanodevices, J. Am. Chem. Soc. 146 (2024) 7640-7648.
    [35]
    Y. Wang, I. Baars, F. Fordos, et al., Clustering of death receptor for apoptosis using nanoscale patterns of peptides, ACS Nano 15 (2021) 9614-9626.
    [36]
    M. Mao, Z. Lin, L. Chen, et al., Modular DNA-origami-based nanoarrays enhance cell binding affinity through the “lock-and-key” interaction, J. Am. Chem. Soc. 145 (2023) 5447-5455.
    [37]
    M. Li, H. Ding, M. Lin, et al., DNA framework-programmed cell capture via topology-engineered receptor-ligand interactions, J. Am. Chem. Soc. 141 (2019) 18910-18915.
    [38]
    Z. Zhang, Q. Liu, J. Tan, et al., Coating with flexible DNA network enhanced T-cell activation and tumor killing for adoptive cell therapy, Acta Pharm. Sin. B 11 (2021) 1965-1977.
    [39]
    L. Wu, H. Ding, X. Qu, et al., Fluidic multivalent membrane nanointerface enables synergetic enrichment of circulating tumor cells with high efficiency and viability, J. Am. Chem. Soc. 142 (2020) 4800-4806.
    [40]
    C. Yao, C. Zhu, J. Tang, et al., T lymphocyte-captured DNA network for localized immunotherapy, J. Am. Chem. Soc. 143 (2021) 19330-19340.
    [41]
    M. Hou, X. Yin, J. Jiang, et al., DNAzyme-triggered sol-gel-sol transition of a hydrogel allows target cell enrichment, ACS Appl. Mater. Interfaces 13 (2021) 15031-15039.
    [42]
    J. Li, K. Xun, K. Pei, et al., Cell-membrane-anchored DNA nanoplatform for programming cellular interactions, J. Am. Chem. Soc. 141 (2019) 18013-18020.
    [43]
    K. Zhang, R. Deng, Y. Sun, et al., Reversible control of cell membrane receptor function using DNA nano-spring multivalent ligands, Chem. Sci. 8 (2017) 7098-7105.
    [44]
    Z. Wang, Y. Zhang, L. Wu, et al., An aptamer-functionalized DNA circuit to establish an artificial interaction between T cells and cancer cells, Angew. Chem. Int. Ed. 62 (2023), e202307656.
    [45]
    A. Conway, T. Vazin, D.P. Spelke, et al., Multivalent ligands control stem cell behaviour in vitro and in vivo, Nat. Nanotechnol. 8 (2013) 831-838.
    [46]
    J. Wang, J. Song, X. Zhang, et al., DNA-programed plasmon rulers decrypt single-receptor dimerization on cell membrane, J. Am. Chem. Soc. 145 (2023) 1273-1284.
    [47]
    Y. Wu, J. Huang, H. He, et al., Logic nanodevice-mediated receptor assembly for nongenetic regulation of cell behavior in tumor-like microenvironment, Nano Lett. 23 (2023) 1801-1809.
    [48]
    L. Li, J. Wang, Y. Li, et al., Broadening and enhancing functions of antibodies by self-assembling multimerization at cell surface, ACS Nano 13 (2019) 11422-11432.
    [49]
    N. Ma, K. Cheng, G. Liu, et al., Nanoscale organization of TRAIL trimers using DNA origami to promote clustering of death receptor and cancer cell apoptosis, Small 19 (2023), 2206160.
    [50]
    M. Xiao, W. Lai, X. Yao, et al., Programming receptor clustering with DNA probabilistic circuits for enhanced natural killer cell recognition, Angew. Chem. Int. Ed. 61 (2022), e202203800.
    [51]
    G. Shin, J.E. Lee, S.Y. Lee, et al., Spatially organized nanoassembly of single-chain TRAIL that induces optimal death receptor clustering and cancer-specific apoptosis, J. Drug Deliv. Sci. Technol. 95 (2024), 105638.
    [52]
    S. Chen, J. Li, H. Liang, et al., Light-induced activation of c-met signalling by photocontrolled DNA assembly, Chem. Eur. J. 24 (2018) 15988-15992.
    [53]
    Z. Wang, W. Qin, J. Zhuang, et al., Virus-mimicking cell capture using heterovalency magnetic DNA nanoclaws, ACS Appl. Mater. Interfaces 11 (2019) 12244-12252.
    [54]
    H. Li, J. Gao, L. Cao, et al., A DNA molecular robot that autonomously walks on the cell membrane to drive cell motility, Angew. Chem. Int. Ed. 60 (2021) 26087-26095.
    [55]
    M. Zhou, C. Liu, B. Li, et al., Cell surface patching via CXCR4-targeted nanothreads for cancer metastasis inhibition, Nat. Commun. 15 (2024), 2763.
    [56]
    G. Zhang, S. Yue, H. Geng, et al., Tumor cell-specific signal processing platform controlled by ATP for non-invasive modulation of cellular behavior, Nano Lett. 24 (2024) 14829-14837.
    [57]
    D. Wang, J. Wang, Y. Wang, et al., A CRISPR/Cas12a-responsive dual-aptamer DNA network for specific capture and controllable release of circulating tumor cells, Chem. Sci. 13 (2022) 10395-10405.
    [58]
    H. Zhang, X. Yu, Y. Liu, et al., HUNTER-chip: Bioinspired hierarchically aptamer structure-based circulating fetal cell isolation for non-invasive prenatal testing, Anal. Chem. 93 (2021) 7235-7241.
    [59]
    Z. Zhang, M.A. Eckert, M.M. Ali, et al., DNA-scaffolded multivalent ligands to modulate cell function, ChemBioChem 15 (2014) 1268-1273.
    [60]
    J.M. Hartley, T. Chu, E.M. Peterson, et al., Super-resolution imaging and quantitative analysis of membrane protein/lipid raft clustering mediated by cell-surface self-assembly of hybrid nanoconjugates, ChemBioChem 16 (2015) 1725-1729.
    [61]
    Y. Wang, I. Baars, I. Berzina, et al., A DNA robotic switch with regulated autonomous display of cytotoxic ligand nanopatterns, Nat. Nanotechnol. 19 (2024) 1366-1374.
    [62]
    M.J. Taylor, K. Husain, Z.J. Gartner, et al., A DNA-based T cell receptor reveals a role for receptor clustering in ligand discrimination, Cell 169 (2017) 108-119.e120.
    [63]
    T. Nguyen, L. Duchesne, G.H.N. Sankara Narayana, et al., Enhanced cell-cell contact stability and decreased N-cadherin-mediated migration upon fibroblast growth factor receptor-N-cadherin cross talk, Oncogene 38 (2019) 6283-6300.
    [64]
    V.A. Heinzelmann-Schwarz, M. Gardiner-Garden, S.M. Henshall, et al., Overexpression of the cell adhesion molecules DDR1, claudin 3, and ep-CAM in metaplastic ovarian epithelium and ovarian cancer, Clin. Cancer Res. 10 (2004) 4427-4436.
    [65]
    B. Nzigou Mombo, B.M. Bijonowski, C.A. Raab, et al., Reversible photoregulation of cell-cell adhesions with opto-E-cadherin, Nat. Commun. 14 (2023), 6292.
    [66]
    S. Choi, J. Yu, W. Kim, et al., N-cadherin mediates the migration of bone marrow-derived mesenchymal stem cells toward breast tumor cells, Theranostics 11 (2021) 6786-6799.
    [67]
    P.X. Medina Rangel, E. Moroni, F. Merlier, et al., Chemical antibody mimics inhibit cadherin-mediated cell-cell adhesion: A promising strategy for cancer therapy, Angew. Chem. Int. Ed. 59 (2020) 2816-2822.
    [68]
    J.M. Garcia-Heredia, A. Lucena-Cacace, E.M. Verdugo-Sivianes, et al., The cargo protein MAP17 (PDZK1IP1) regulates the cancer stem cell pool activating the Notch pathway by abducting NUMB, Clin. Cancer Res. 23 (2017) 3871-3883.
    [69]
    C. Su, J. Zhang, Y. Yarden, et al., The key roles of cancer stem cell-derived extracellular vesicles, Signal Transduct. Target. Ther. 6 (2021), 109.
    [70]
    A.Z. Ayob, T.S. Ramasamy, Cancer stem cells as key drivers of tumour progression, J. Biomed. Sci. 25 (2018), 20.
    [71]
    M. Tellez-Gabriel, M.F. Heymann, D. Heymann, Circulating tumor cells as a tool for assessing tumor heterogeneity, Theranostics 9 (2019) 4580-4594.
    [72]
    C. Zhang, Y. Guan, Y. Sun, et al., Tumor heterogeneity and circulating tumor cells, Cancer Lett. 374 (2016) 216-223.
    [73]
    M. Labib, S.O. Kelley, Circulating tumor cell profiling for precision oncology, Mol. Oncol. 15 (2021) 1622-1646.
    [74]
    F. Torricelli, C. Pescucci, Isolation of fetal cells from the maternal circu-lation: Prospects for the non-invasive prenatal diagnosis, Clin. Chem. Lab. Med. 39 (2001) 494-500.
    [75]
    D. Wang, M. Zhang, G. Qiu, et al., Extracellular matrix viscosity reprogramming by in situ Au bioreactor-boosted microwavegenetics disables tumor escape in CAR-T immunotherapy, ACS Nano 17 (2023) 5503-5516.
    [76]
    S. Nagata, M. Tanaka, Programmed cell death and the immune system, Nat. Rev. Immunol. 17 (2017) 333-340.
    [77]
    J.Y. Im, M.J. Kang, B.K. Kim, et al., DDIAS, DNA damage-induced apoptosis suppressor, is a potential therapeutic target in cancer, Exp. Mol. Med. 55 (2023) 879-885.
    [78]
    Y. Zeng, H. Liu, J. Ma, et al., Cobalt ferrite-gossypol coordination nanoagents with high photothermal conversion efficiency sensitizing chemotherapy against bcl-2 to induce tumor apoptosis, Small 19 (2023), 2300104.
    [79]
    T. Santos, G.F. Salgado, E.J. Cabrita, et al., Nucleolin: A binding partner of G-quadruplex structures, Trends Cell Biol. 32 (2022) 561-564.
    [80]
    N.M. Anderson, M.C. Simon, The tumor microenvironment, Curr. Biol. 30 (2020) R921-R925.
    [81]
    E.W. Weber, M.V. Maus, C.L. MacKall, The emerging landscape of immune cell therapies, Cell 181 (2020) 46-62.
    [82]
    D. Paasch, N. Lachmann, CAR macrophages tuning the immune symphony of anti-cancer therapies, Cell Stem Cell 31 (2024) 791-793.
    [83]
    Y.R. Li, Z. Lyu, Y. Chen, et al., Frontiers in CAR-T cell therapy for autoimmune diseases, Trends Pharmacol. Sci. 45 (2024) 839-857.
    [84]
    M. Yang, C. Zhang, R. Wang, et al., Cancer immunotherapy elicited by immunogenic cell death based on smart nanomaterials, Small Methods 7 (2023), 2201381.
    [85]
    D. Xie, D. Fu, S. Fu, et al., Mechanical activation of immune T cells via a water driven nanomotor, Adv. Healthc. Mater. 11 (2022), 2200042.
    [86]
    K. Skakuj, S. Wang, L. Qin, et al., Conjugation chemistry-dependent T-cell activation with spherical nucleic acids, J. Am. Chem. Soc. 140 (2018) 1227-1230.
    [87]
    Q. Zhang, Y. Zhang, L. Wu, et al., DNA reaction circuits to establish designated biological functions in multicellular community, Nano Lett. 24 (2024) 5808-5815.
    [88]
    S. Bi, W. Chen, Y. Fang, et al., Cancer cell-selective PD-L1 inhibition via a DNA safety catch to enhance immunotherapy specificity, Angew. Chem. Int. Ed. 63 (2024), e202402522.
    [89]
    E. Hui, J. Cheung, J. Zhu, et al., T cell costimulatory receptor CD28 is a primary target for PD-1-mediated inhibition, Science 355 (2017) 1428-1433.
    [90]
    S. Jiang, X. Lv, Z. Ouyang, et al., Programmable circular multivalent nanobody-targeting chimeras (mNbTACs) for multireceptor-mediated protein degradation and targeted drug delivery, Angew. Chem. Int. Ed. 63 (2024), e202407986.
    [91]
    Q. Dong, Y. Du, H. Li, et al., EGFR and c-Met cooperate to enhance resistance to PARP inhibitors in hepatocellular carcinoma, Cancer Res. 79 (2019) 819-829.
    [92]
    X. Li, Z. Lian, S. Wang, et al., Interactions between EGFR and PD-1/PD-L1 pathway: Implications for treatment of NSCLC, Cancer Lett. 418 (2018) 1-9.
    [93]
    X. Shao, W. Ma, X. Xie, et al., Neuroprotective effect of tetrahedral DNA nanostructures in a cell model of Alzheimer’s disease, ACS Appl. Mater. Interfaces 10 (2018) 23682-23692.
    [94]
    X. Yang, F. Zhang, Y. Du, et al., Effect of tetrahedral DNA nanostructures on LPS-induced neuroinflammation in mice, Chin. Chem. Lett. 33 (2022) 1901-1906.
    [95]
    K. Kansara, A. Mansuri, A. Kumar, et al., DNA nano-biomaterials based futuristic technologies for tissue engineering and regenerative therapeutics, Small 21 (2025), 2504361.
    [96]
    M.C. Trinh, H. Jun, Computer-aided design software and simulation tools for DNA nanoparticles, Adv. Mater. Technol. (2025), e00438.
    [97]
    W.G. Pfeifer, C. Huang, M.G. Poirier, et al., Versatile computer-aided design of free-form DNA nanostructures and assemblies, Sci. Adv. 9 (2023), eadi0697.
    [98]
    V.P. Mishra, Y.N. Singh, F. Khan, et al., SeqDPI: A 1D-CNN approach for predicting binding affinity of kinase inhibitors, J. Comput. Chem. 46 (2025), e27518.
    [99]
    J. Huzar, R. Coreas, M.P. Landry, et al., AI-based prediction of protein corona composition on DNA nanostructures, ACS Nano 19 (2025) 4333-4345.
    [100]
    H.U. Goringer, A. Adler, N. Forster, et al., Post-SELEX chemical optimization of a trypanosome-specific RNA aptamer, Comb. Chem. High Throughput Screen. 11 (2008) 16-23.
    [101]
    S. Li, M. Xu, C. Yao, et al., DNA-based nanostructures for tumor microenvironment-responsive drug delivery, Adv. Drug Deliv. Rev. 223 (2025) 115610.
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