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Barcoded nanoparticles for high throughput in vivo discovery of targeted therapeutics
Open accessAbstract
Significance: The effectiveness of nucleic acid drugs is limited by inefficient delivery to target tissues and cells and by unwanted accumulation in off-target organs. Although thousands of chemically distinct nanoparticles can be synthesized, nanoparticles designed to deliver nucleic acids in vivo were first tested in cell culture, yielding poor predictions for delivery in vivo. To facilitate testing of many nanoparticles in vivo, we designed and optimized a high-throughput DNA barcoding system to simultaneously measure nucleic acid delivery mediated by dozens of distinct nanoparticles in a single mouse. This nano-barcoding system can be used to study hundreds, or even thousands, of nanoparticles directly in vivo and could dramatically accelerate the discovery and understanding of nanoparticle drug delivery systems.
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“Dahlman et al. designed and optimized a high-throughput DNA barcoding system for the detection of lipid nanoparticles carrying specific nucleic acid barcodes in normal or tumor tissues in vivo, which facilitates the discovery of nanoparticles targeting tumor tissues and cells.339”
From Smart nanoparticles for cancer therapy (2023) · cites this paper as [339]
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“However, barcoded nanoparticles allow in vivo high-throughput profiling of lipid nanoparticle distribution at the cell level121.”
From Lipid nanoparticles for mRNA delivery (2021) · cites this paper as [121]
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Citations
Cites
Principles of nanoparticle design for overcoming biological barriers to drug delivery
Blanco, E., Shen, H., & Ferrari, M. (2015) · Nature Biotechnology · doi:10.1038/nbt.3330 · Cited by 7,002
Development and Applications of CRISPR-Cas9 for Genome Engineering
Hsu, P. D., Lander, E. S., & Zhang, F. (2014) · Cell · doi:10.1016/j.cell.2014.05.010 · Cited by 5,762
Next-generation DNA sequencing
Shendure, J., & Ji, H. (2008) · Nature Biotechnology · doi:10.1038/nbt1486 · Cited by 4,509
Knocking down barriers: advances in siRNA delivery
Whitehead, K. A., Langer, R., & Anderson, D. G. (2009) · Nature Reviews Drug Discovery · doi:10.1038/nrd2742 · Cited by 3,115
Self-citationBiomolecular coronas provide the biological identity of nanosized materials
Monopoli, M. P., Åberg, C., Salvati, A., & Dawson, K. A. (2012) · Nature Nanotechnology · doi:10.1038/nnano.2012.207 · Cited by 3,017
CRISPR-Cas9 Knockin Mice for Genome Editing and Cancer Modeling
Platt, R. J., Chen, S., Zhou, Y., Yim, M. J., Swiech, L., Kempton, H. R., Dahlman, J. E., Parnas, O., Eisenhaure, T. M., Jovanovic, M., et al. (2014) · Cell · doi:10.1016/j.cell.2014.09.014 · Cited by 2,001
Self-citationRational design of cationic lipids for siRNA delivery
Semple, S. C., Akinc, A., Chen, J., Sandhu, A. P., Mui, B. L., Cho, C. K., Sah, D. W. Y., Stebbing, D., Crosley, E. J., Yaworski, E., et al. (2010) · Nature Biotechnology · doi:10.1038/nbt.1602 · Cited by 1,822 · cited 5×
“study (12, 13, 27) in which liver-targeting siRNA-LNPs were formulated with 50% (14)C-labeled ionizable lipid, 10% DSPC, 38.”
BackgroundMethodInfluentialDelivery materials for siRNA therapeutics
Kanasty, R., Dorkin, J. R., Vegas, A., & Anderson, D. (2013) · Nature Materials · doi:10.1038/nmat3765 · Cited by 1,800
Self-citationModeling Tissue Morphogenesis and Cancer in 3D
Yamada, K. M., & Cukierman, E. (2007) · Cell · doi:10.1016/j.cell.2007.08.006 · Cited by 1,751
PEGylated nanoparticles for biological and pharmaceutical applications
Otsuka, H., Nagasaki, Y., & Kataoka, K. (2003) · Advanced Drug Delivery Reviews · doi:10.1016/s0169-409x(02)00226-0 · Cited by 1,619
Cited by
Sorted by citations
Lipid nanoparticles for mRNA delivery
Hou, X., Zaks, T., Langer, R., & Dong, Y. (2021) · Nature Reviews Materials · doi:10.1038/s41578-021-00358-0 · Cited by 4,076
Self-citationDrug delivery systems for RNA therapeutics
Paunovska, K., Loughrey, D., & Dahlman, J. E. (2022) · Nature Reviews Genetics · doi:10.1038/s41576-021-00439-4 · Cited by 1,349
Self-citationvan der Meel, R., Sulheim, E., Shi, Y., Kiessling, F. M., Mulder, W. J. M., & Lammers, T. (2019) · Nature Nanotechnology · doi:10.1038/s41565-019-0567-y · Cited by 1,279
The role of lipid components in lipid nanoparticles for vaccines and gene therapy
Gregersen, C. H., Kulkarni, J. A., Witzigmann, D., Lind, M. L., Petersson, K., & Simonsen, J. B. (2022) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2022.114416 · Cited by 1,271
Smart nanoparticles for cancer therapy
Sun, L., Liu, H., Ye, Y., Lei, Y., Islam, R., Tan, S., Tong, R., Miao, Y.-B., & Cai, L. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01642-x · Cited by 1,073
mRNA vaccine for cancer immunotherapy
Miao, L., Zhang, Y., & Huang, L. (2021) · Molecular Cancer · doi:10.1186/s12943-021-01335-5 · Cited by 966
Dilliard, S. A., & Siegwart, D. J. (2023) · Nature Reviews Materials · doi:10.1038/s41578-022-00529-7 · Cited by 744
Lipids and Lipid Derivatives for RNA Delivery
Zhang, Y., Sun, C., Wang, C., Jankovic, K. E., & Dong, Y. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00244 · Cited by 649
Lipid nanoparticles for nucleic acid delivery: Current perspectives
Samaridou, E., Heyes, J. A., & Lutwyche, P. (2020) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2020.06.002 · Cited by 609
Therapeutic in vivo delivery of gene editing agents
Raguram, A., Banskota, S., & Liu, D. R. (2022) · Cell · doi:10.1016/j.cell.2022.03.045 · Cited by 552
A framework for designing delivery systems
Poon, W., Kingston, B. R., Ouyang, B., Ngo, W., & Chan, W. C. W. (2020) · Nature Nanotechnology · doi:10.1038/s41565-020-0759-5 · Cited by 537
Integrating Artificial Intelligence and Nanotechnology for Precision Cancer Medicine
Adir, O., Poley, M., Chen, G., Froim, S., Krinsky, N., Shklover, J., Shainsky‐Roitman, J., Lammers, T., & Schroeder, A. (2020) · Advanced Materials · doi:10.1002/adma.201901989 · Cited by 496
Clinical translation of nanomedicines: Challenges, opportunities, and keys
Younis, M. A., Tawfeek, H. M., Abdellatif, A. A. H., Abdel-Aleem, J. A., & Harashima, H. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2021.114083 · Cited by 506
Microfluidic formulation of nanoparticles for biomedical applications
Shepherd, S. J., Issadore, D., & Mitchell, M. J. (2021) · Biomaterials · doi:10.1016/j.biomaterials.2021.120826 · Cited by 465
Brief update on endocytosis of nanomedicines
Patel, S., Kim, J., Herrera‐Barrera, M., Mukherjee, A., Kabanov, A. V., & Sahay, G. (2019) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2019.08.004 · Cited by 409
Targeting cancer with mRNA–lipid nanoparticles: key considerations and future prospects
Kon, E., Ad‐El, N., Hazan‐Halevy, I., Stotsky‐Oterin, L., & Peer, D. (2023) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-023-00811-9 · Cited by 393
Lipid nanoparticle technology for therapeutic gene regulation in the liver
Witzigmann, D., Kulkarni, J. A., Leung, J., Chen, S., Cullis, P. R., & van der Meel, R. (2020) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2020.06.026 · Cited by 376
Sago, C. D., Lokugamage, M. P., Paunovska, K., Vanover, D. A., Monaco, C. M., Shah, N. N., Gamboa Castro, M., Anderson, S. E., Rudoltz, T. G., Lando, G. N., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1811276115 · Cited by 313
Self-citationThe Biomolecular Corona of Lipid Nanoparticles for Gene Therapy
Francia, V., Schiffelers, R. M., Cullis, P. R., & Witzigmann, D. (2020) · Bioconjugate Chemistry · doi:10.1021/acs.bioconjchem.0c00366 · Cited by 314
Evolution and clinical translation of drug delivery nanomaterials
Hassan, S., Prakash, G., Bal‐Öztürk, A., Saghazadeh, S., Sohail, M. F., Seo, J., Dokmeci, M. R., Zhang, Y. S., & Khademhosseini, A. (2017) · Nano Today · doi:10.1016/j.nantod.2017.06.008 · Cited by 291
Paunovska, K., Sago, C. D., Monaco, C. M., Hudson, W. H., Castro, M. G., Rudoltz, T. G., Kalathoor, S., Vanover, D. A., Santangelo, P. J., Ahmed, R., et al. (2018) · Nano Letters · doi:10.1021/acs.nanolett.8b00432 · Cited by 277
Self-citationZhang, R., El-Mayta, R. D., Murdoch, T. J., Warzecha, C. C., Billingsley, M. M., Shepherd, S. J., Gong, N., Wang, L., Wilson, J. M., Lee, D., et al. (2020) · Biomaterials Science · doi:10.1039/d0bm01609h · Cited by 267
Cancer‐Targeting Nanoparticles for Combinatorial Nucleic Acid Delivery
Vaughan, H. J., Green, J. J., & Tzeng, S. Y. (2019) · Advanced Materials · doi:10.1002/adma.201901081 · Cited by 259
Artificial intelligence aids in development of nanomedicines for cancer management
Tan, P., Chen, X., Zhang, H., Wei, Q., & Luo, K. (2023) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2023.01.005 · Cited by 256
Liu, D., Zhang, H., Fontana, F., Hirvonen, J. J., & Santos, H. A. (2017) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2017.08.003 · Cited by 241
Polymeric vehicles for nucleic acid delivery
Piotrowski-Daspit, A. S., Kauffman, A. C., Bracaglia, L. G., & Saltzman, W. M. (2020) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2020.06.014 · Cited by 230
Ionizable lipid nanoparticles encapsulating barcoded mRNA for accelerated in vivo delivery screening
Guimarães, P. P. G., Zhang, R., Spektor, R., Tan, M., Chung, A., Billingsley, M. M., El-Mayta, R. D., Riley, R., Wang, L., Wilson, J. M., et al. (2019) · Journal of Controlled Release · doi:10.1016/j.jconrel.2019.10.028 · Cited by 224
Massively parallel pooled screening reveals genomic determinants of nanoparticle delivery
Boehnke, N., Straehla, J. P., Safford, H. C., Kocak, M., Rees, M. G., Ronan, M. M., Rosenberg, D., Adelmann, C. H., Chivukula, R. R., Nabar, N., et al. (2022) · Science · doi:10.1126/science.abm5551 · Cited by 204
Biomaterials for vaccine-based cancer immunotherapy
Zhang, R., Billingsley, M. M., & Mitchell, M. J. (2018) · Journal of Controlled Release · doi:10.1016/j.jconrel.2018.10.008 · Cited by 204
Davis, J. R., Wang, X., Witte, I. P., Huang, T. P., Levy, J. M., Raguram, A., Banskota, S., Seidah, N. G., Musunuru, K., & Liu, D. R. (2022) · Nature Biomedical Engineering · doi:10.1038/s41551-022-00911-4 · Cited by 199
DNA Nanostructures: Current Challenges and Opportunities for Cellular Delivery
Lacroix, A., & Sleiman, H. F. (2021) · ACS Nano · doi:10.1021/acsnano.0c06136 · Cited by 194
Advances in Receptor‐Mediated, Tumor‐Targeted Drug Delivery
Large, D. E., Soucy, J. R., Hebert, J. M., & Auguste, D. T. (2018) · Advanced Therapeutics · doi:10.1002/adtp.201800091 · Cited by 194
Drug delivery systems for CRISPR-based genome editors
Madigan, V. J., Zhang, F., & Dahlman, J. E. (2023) · Nature Reviews Drug Discovery · doi:10.1038/s41573-023-00762-x · Cited by 193
Self-citationCRISPR-Cas-amplified urinary biomarkers for multiplexed and portable cancer diagnostics
Hao, L., Zhao, R. T., Welch, N. L., Tan, E. K. W., Zhong, Q., Harzallah, N. S., Ngambenjawong, C., Ko, H., Fleming, H. E., Sabeti, P. C., et al. (2023) · Nature Nanotechnology · doi:10.1038/s41565-023-01372-9 · Cited by 183
Loughrey, D., & Dahlman, J. E. (2022) · Accounts of Chemical Research · doi:10.1021/acs.accounts.1c00601 · Cited by 173
Self-citationFunctionalizing DNA origami to investigate and interact with biological systems
Knappe, G. A., Wamhoff, E., & Bathe, M. (2022) · Nature Reviews Materials · doi:10.1038/s41578-022-00517-x · Cited by 171
Machine Learning and Artificial Intelligence in Nanomedicine
Chou, W., Canchola, A., Zhang, F., & Lin, Z. (2025) · Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology · doi:10.1002/wnan.70027 · Cited by 169
Paunovska, K., Gil, C. J., Lokugamage, M. P., Sago, C. D., Sato, M., Lando, G. N., Gamboa Castro, M., Bryksin, A. V., & Dahlman, J. E. (2018) · ACS Nano · doi:10.1021/acsnano.8b03640 · Cited by 160
Self-citationPeptide-Functionalized Lipid Nanoparticles for Targeted Systemic mRNA Delivery to the Brain
Han, E. L., Tang, S., Kim, D., Murray, A. M., Swingle, K. L., Hamilton, A. G., Mrksich, K., Padilla, M. S., Palanki, R., Li, J. J., et al. (2025) · Nano Letters · doi:10.1021/acs.nanolett.4c05186 · Cited by 158
Strategies for non-viral vectors targeting organs beyond the liver
Kim, J., Eygeris, Y., Ryals, R. C., Jozić, A., & Sahay, G. (2023) · Nature Nanotechnology · doi:10.1038/s41565-023-01563-4 · Cited by 160
Advancing engineering design strategies for targeted cancer nanomedicine
Gomerdinger, V. F., Nabar, N., & Hammond, P. T. (2025) · Nature Reviews Cancer · doi:10.1038/s41568-025-00847-2 · Cited by 146
Protein corona formed on lipid nanoparticles compromises delivery efficiency of mRNA cargo
Voke, E., Arral, M. L., Squire, H. J., Lin, T.-J., Zheng, L., Coreas, R., Lui, A., Iavarone, A. T., Pinals, R. L., Whitehead, K. A., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-63726-2 · Cited by 153
Xue, L., Hamilton, A. G., Zhao, G., Xiao, Z., El-Mayta, R. D., Han, X., Gong, N., Xiong, X., Xu, J., Figueroa‐Espada, C. G., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-45422-9 · Cited by 158
Understanding nanoparticle-liver interactions in nanomedicine
He, Y., Wang, Y., Wang, L., Jiang, W., & Wilhelm, S. (2024) · Expert Opinion on Drug Delivery · doi:10.1080/17425247.2024.2375400 · Cited by 145
Design of lipid-based nanoparticles for delivery of therapeutic nucleic acids
Mendonça, M. C. P., Kont, A., Kowalski, P. S., & O’Driscoll, C. M. (2023) · Drug Discovery Today · doi:10.1016/j.drudis.2023.103505 · Cited by 143
Rhym, L. H., Manan, R. S., Koller, A. A., Stephanie, G., & Anderson, D. G. (2023) · Nature Biomedical Engineering · doi:10.1038/s41551-023-01030-4 · Cited by 137
Self-citationPhysiological Barriers and Strategies of Lipid‐Based Nanoparticles for Nucleic Acid Drug Delivery
Hu, M., Li, X., You, Z., Cai, R., & Chen, C. (2023) · Advanced Materials · doi:10.1002/adma.202303266 · Cited by 142
Microfluidic Manufacture of Lipid-Based Nanomedicines
Osouli-Bostanabad, K., Puliga, S., Serrano, D. R., Bucchi, A., Halbert, G., & Lalatsa, A. (2022) · Pharmaceutics · doi:10.3390/pharmaceutics14091940 · Cited by 137
Enhancing RNA-lipid nanoparticle delivery: Organ- and cell-specificity and barcoding strategies
Wei, P.-S., Thota, N., John, G., Chang, E., Lee, S., Wang, Y., Ma, Z., Tsai, Y.-H., & Mei, K. (2024) · Journal of Controlled Release · doi:10.1016/j.jconrel.2024.08.030 · Cited by 138
Placenta-tropic VEGF mRNA lipid nanoparticles ameliorate murine pre-eclampsia
Swingle, K. L., Hamilton, A. G., Safford, H. C., Geisler, H. C., Thatte, A. S., Palanki, R., Murray, A. M., Han, E. L., Mukalel, A. J., Han, X., et al. (2025) · Nature · doi:10.1038/s41586-024-08291-2 · Cited by 129
Nanoparticles That Deliver RNA to Bone Marrow Identified by in Vivo Directed Evolution
Sago, C. D., Lokugamage, M. P., Islam, F. Z., Krupczak, B. R., Sato, M., & Dahlman, J. E. (2018) · Journal of the American Chemical Society · doi:10.1021/jacs.8b08976 · Cited by 132
Self-citationIterative Design of Ionizable Lipids for Intramuscular mRNA Delivery
Tilstra, G., Couture‐Senécal, J., Lau, Y. M. A., Manning, A. M., Wong, D., Janaeska, W. W., Wuraola, T. A., Pang, J., & Khan, O. F. (2023) · Journal of the American Chemical Society · doi:10.1021/jacs.2c10670 · Cited by 132
Gautam, M., Jozic, A., Su, G. L.-N., Herrera-Barrera, M., Curtis, A., Arrizabalaga, S., Tschetter, W., Ryals, R. C., & Sahay, G. (2023) · Nature Communications · doi:10.1038/s41467-023-42189-3 · Cited by 123
Li, G., Chen, T., Dahlman, J. E., Eniola‐Adefeso, L., Ghiran, I. C., Kurre, P., Lam, W. A., Lang, J. K., Marbán, E., Martı́n, P., et al. (2023) · Journal of Extracellular Vesicles · doi:10.1002/jev2.12305 · Cited by 124
Self-citationPrecision medicine: In vivo CAR therapy as a showcase for receptor-targeted vector platforms
Michels, A., Ho, N., & Buchholz, C. J. (2022) · Molecular Therapy · doi:10.1016/j.ymthe.2022.05.018 · Cited by 131
Clip Chemistry: Diverse (Bio)(macro)molecular and Material Function through Breaking Covalent Bonds
Shieh, P., Hill, M. R., Zhang, W., Kristufek, S. L., & Johnson, J. A. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.0c01282 · Cited by 121
Pinals, R. L., Chio, L., Ledesma, F., & Landry, M. P. (2020) · The Analyst · doi:10.1039/d0an00633e · Cited by 117
Delivery of modified mRNA to damaged myocardium by systemic administration of lipid nanoparticles
Evers, M. J. W., Du, W., Yang, Q., Kooijmans, S. A. A., Vink, A., van Steenbergen, M., Vader, P., de Jager, S. C. A., Fuchs, S. A., Mastrobattista, E., et al. (2022) · Journal of Controlled Release · doi:10.1016/j.jconrel.2022.01.027 · Cited by 113
Oral mRNA delivery using capsule-mediated gastrointestinal tissue injections
Abramson, A., Kirtane, A. R., Shi, Y., Zhong, G., Collins, J. E., Tamang, S. M., Ishida, K., Hayward, A. M., Wainer, J., Rajesh, N. U., et al. (2022) · Matter · doi:10.1016/j.matt.2021.12.022 · Cited by 110
Self-citationMukai, H., Ogawa, K., Kato, N., & Kawakami, S. (2022) · Drug Metabolism and Pharmacokinetics · doi:10.1016/j.dmpk.2022.100450 · Cited by 108
Simonsen, J. B. (2024) · Journal of Controlled Release · doi:10.1016/j.jconrel.2024.04.022 · Cited by 115
A User’s Guide to Machine Learning for Polymeric Biomaterials
Meyer, T. A., Ramirez, C., Tamasi, M., & Gormley, A. J. (2022) · ACS Polymers Au · doi:10.1021/acspolymersau.2c00037 · Cited by 106
Dobrowolski, C. N., Paunovska, K., Echeverri, E. S., Loughrey, D., Sanchez, A. J. D. S., Ni, H., Hatit, M. Z. C., Lokugamage, M. P., Kuzminich, Y., Peck, H. E., et al. (2022) · Nature Nanotechnology · doi:10.1038/s41565-022-01146-9 · Cited by 113
Self-citationLipid Nanoparticles for Delivery of Therapeutic RNA Oligonucleotides
Moss, K. H., Popova, P. G., Hadrup, S. R., Astakhova, K., & Taskova, M. (2019) · Molecular Pharmaceutics · doi:10.1021/acs.molpharmaceut.8b01290 · Cited by 101
Designing lipid nanoparticles using a transformer-based neural network
Chan, A., Kirtane, A. R., Qu, Q. R., Huang, X., Woo, J., Subramanian, D. A., Dey, R., Semalty, R., Bernstock, J. D., Ahmed, T., et al. (2025) · Nature Nanotechnology · doi:10.1038/s41565-025-01975-4 · Cited by 106
Engineering nanoparticle toolkits for mRNA delivery
Sun, B., Wu, W., Narasipura, E. A., Ma, Y., Yu, C., Fenton, O. S., & Song, H. (2023) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2023.115042 · Cited by 96
Frameworks for transformational breakthroughs in RNA-based medicines
Androsavich, J. R. (2024) · Nature Reviews Drug Discovery · doi:10.1038/s41573-024-00943-2 · Cited by 100
Soroudi, S., Jaafari, M. R., & Arabi, L. (2024) · Journal of Controlled Release · doi:10.1016/j.jconrel.2024.06.023 · Cited by 96
Applying artificial intelligence and computational modeling to nanomedicine
Hamilton, S., & Kingston, B. R. (2023) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2023.103043 · Cited by 90
Liang, G., Cao, W., Tang, D., Zhang, H., Yu, Y., Ding, J., Karges, J., & Xiao, H. (2024) · ACS Nano · doi:10.1021/acsnano.3c11154 · Cited by 88
Click editing enables programmable genome writing using DNA polymerases and HUH endonucleases
da Silva, J. F., Tou, C. J., King, E. M., Eller, M. L., Rufino‐Ramos, D., Ma, L., Cromwell, C. R., Metović, J., Benning, F. M. C., Chao, L. H., et al. (2024) · Nature Biotechnology · doi:10.1038/s41587-024-02324-x · Cited by 86
Optimizing synthetic nucleic acid and protein nanocarriers: The chemical evolution approach
Freitag, F., & Wagner, E. (2020) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2020.03.005 · Cited by 83
Testing thousands of nanoparticles in vivo using DNA barcodes
Lokugamage, M. P., Sago, C. D., & Dahlman, J. E. (2018) · Current Opinion in Biomedical Engineering · doi:10.1016/j.cobme.2018.08.001 · Cited by 84
Self-citationTargeted nonviral delivery of genome editors in vivo
Tsuchida, C. A., Wasko, K. M., Hamilton, J. R., & Doudna, J. A. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2307796121 · Cited by 85
Design of polymers for siRNA delivery: Recent progress and challenges
Wang, H., Zhang, S., Lv, J., & Cheng, Y. (2021) · Open Research (University of Surrey) · doi:10.1002/viw.20200026 · Cited by 76
Shi, Q., Yin, H., Song, R., Xu, J., Tan, J., Zhou, X. G., Cen, J., Deng, Z., Tong, H., Cui, C., et al. (2022) · Nature Chemistry · doi:10.1038/s41557-022-01076-y · Cited by 80
Gan, Z., Lokugamage, M. P., Hatit, M. Z. C., Loughrey, D., Paunovska, K., Sato, M., Cristian, A., & Dahlman, J. E. (2020) · Bioengineering & Translational Medicine · doi:10.1002/btm2.10161 · Cited by 75
Self-citationUnlocking the Therapeutic Applicability of LNP-mRNA: Chemistry, Formulation, and Clinical Strategies
Huang, X., Ma, Y., Ma, G., & Xia, Y. (2024) · Research · doi:10.34133/research.0370 · Cited by 76
Raguram, A., An, M., Chen, P., & Liu, D. R. (2024) · Nature Biotechnology · doi:10.1038/s41587-024-02467-x · Cited by 82
Machine Learning‐Enhanced Nanoparticle Design for Precision Cancer Drug Delivery
Wang, Q., Liu, Y., Li, C., Xu, S., Xu, S., & Liu, B. (2025) · Advanced Science · doi:10.1002/advs.202503138 · Cited by 81
Multi-omics approaches to decipher the interactions of nanoparticles and biological systems
Wang, Y., Xiao, Z., Wang, Z., Lee, D., Ma, Y., Wilhelm, S., Wang, H., Kim, B. Y. S., & Jiang, W. (2024) · Nature Reviews Bioengineering · doi:10.1038/s44222-024-00264-4 · Cited by 82
Young, R. E., Nelson, K. M., Hofbauer, S. I., Vijayakumar, T., Alameh, M., Weissman, D., Papachristou, C., Gleghorn, J. P., & Riley, R. (2023) · Bioactive Materials · doi:10.1016/j.bioactmat.2023.11.014 · Cited by 77
Cheng, L., Zhu, Y., Ma, J., Aggarwal, A., Toh, W. H., Shin, C., Sangpachatanaruk, W., Weng, G. W., Kumar, R., & Mao, H. (2024) · ACS Nano · doi:10.1021/acsnano.4c07615 · Cited by 74
Tissue-specific mRNA delivery and prime editing with peptide–ionizable lipid nanoparticles
Lin, Y., Li, M., Luo, Z., Meng, Y., Zong, Y., Ren, H., Yu, X., Tan, X., Liu, F., Wei, T., et al. (2025) · Nature Materials · doi:10.1038/s41563-025-02320-9 · Cited by 87
A holistic analysis of the intrinsic and delivery-mediated toxicity of siRNA therapeutics
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Metadata
- Authors
- Dahlman, J. E., Kauffman, K. J., Xing, Y., Shaw, T. E., Mir, F. F., Dlott, C. C., Langer, R., Anderson, D. G., & Wang, E. T.
- Affiliations
- Georgia Institute of Technology (US)
- Koch Institute for Integrative Cancer Research At MIT (US)
- Harvard–MIT Division of Health Sciences and Technology (US)
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139;
- University of Florida (US)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2017-02-06
- Volume
- 114
- Issue
- 8
- Pages
- 2060-2065
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC5338412
- OpenAlex
- W2586934391
- Cited by
- 335
- References
- 39
- Citations by year
- 2026: 50 · 2025: 62 · 2024: 53 · 2023: 43 · 2022: 40 · 2021: 22 · 2020: 24 · 2019: 13 · 2018: 18 · 2017: 10
- FWCI
- 7.26
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- Funders
- HHS | National Institutes of Health (DP5-OD017865)
- National Science Foundation (1122374)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Interference and Gene Delivery
- Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
- Physical Sciences › Materials Science › Polymers and Plastics › Dendrimers and Hyperbranched Polymers
- Keywords
- nanoparticle biodistribution, siRNA delivery, structure-activity relationship
- MeSH terms
- Animals, Cell Separation, Pharmaceutical Preparations, Factor VII, Female, Flow Cytometry, Liver, Lung, Mice, Inbred C57BL, Nucleic Acids, Tissue Distribution, Drug Delivery Systems, RNA Interference, RNA, Small Interfering, Mice, Nanoparticles, Drug Discovery, DNA Barcoding, Taxonomic, Molecular Targeted Therapy
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