{"doi":"10.1002/adma.202204957","title":"Massively Parallel Selection of NanoCluster Beacons","abstract":"NanoCluster Beacons (NCBs) are multicolor silver nanocluster probes whose fluorescence can be activated or tuned by a proximal DNA strand called the activator. While a single-nucleotide difference in a pair of activators can lead to drastically different activation outcomes, termed polar opposite twins (POTs), it is difficult to discover new POT-NCBs using the conventional low-throughput characterization approaches. Here, a high-throughput selection method is reported that takes advantage of repurposed next-generation-sequencing chips to screen the activation fluorescence of ≈40 000 activator sequences. It is found that the nucleobases at positions 7-12 of the 18-nucleotide-long activator are critical to creating bright NCBs and positions 4-6 and 2-4 are hotspots to generate yellow-orange and red POTs, respectively. Based on these findings, a \"zipper-bag\" model is proposed that can explain how these hotspots facilitate the formation of distinct silver cluster chromophores and alter their chemical yields. Combining high-throughput screening with machine-learning algorithms, a pipeline is established to design bright and multicolor NCBs in silico.","journal":"Advanced Materials","year":2022,"id":251333,"datarank":0.4887144807032224,"base_score":3.258096538021482,"endowment":3.258096538021482,"self_citation_contribution":0.4887144807032224,"citation_network_contribution":0.0,"self_endowment_contribution":0.4887144807032224,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":25,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9574,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":260627,"name":"Cheulhee Jung","orcid":"0000-0001-7392-5862","position":1,"is_corresponding":false},{"id":459620,"name":"Yu‐An Chen","orcid":"0000-0001-7228-4696","position":2,"is_corresponding":false},{"id":262645,"name":"Hung‐Che Kuo","orcid":"0000-0002-8577-1706","position":3,"is_corresponding":false},{"id":724794,"name":"Oliver Zhao","orcid":"0000-0001-7668-7708","position":4,"is_corresponding":false},{"id":568662,"name":"Trung D. Nguyen","orcid":"0009-0005-7838-3317","position":5,"is_corresponding":false},{"id":260629,"name":"James R. Rybarski","orcid":"0000-0001-9960-1161","position":6,"is_corresponding":false},{"id":568663,"name":"Soonwoo Hong","orcid":"0000-0002-7618-9052","position":7,"is_corresponding":false},{"id":565828,"name":"Yuan‐I Chen","orcid":"0000-0002-9559-2779","position":8,"is_corresponding":false},{"id":21508,"name":"Dennis Wylie","orcid":"0000-0003-0380-3549","position":9,"is_corresponding":false},{"id":251048,"name":"John A. Hawkins","orcid":"0000-0002-2943-9397","position":10,"is_corresponding":false},{"id":722312,"name":"Jada N. Walker","orcid":"0000-0001-6233-3124","position":11,"is_corresponding":false},{"id":894653,"name":"Samuel W. J. Shields","orcid":null,"position":12,"is_corresponding":false},{"id":215664,"name":"Jennifer S. Brodbelt","orcid":"0000-0003-3207-0217","position":13,"is_corresponding":false},{"id":894210,"name":"Jeffrey T. Petty","orcid":"0000-0003-0149-5335","position":14,"is_corresponding":false},{"id":105935,"name":"Ilya J. Finkelstein","orcid":"0000-0002-9371-2431","position":15,"is_corresponding":false},{"id":565829,"name":"Hsin‐Chih Yeh","orcid":"0000-0001-6654-5626","position":16,"is_corresponding":false},{"id":894652,"name":"Yu‐An Kuo","orcid":null,"position":0,"is_corresponding":true}],"reference_count":55,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T00:24:37.429628Z","pmid":"35945159","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}