{"doi":"10.1016/j.stemcr.2021.07.020","title":"POLYseq: A poly(β-amino ester)-based vector for multifunctional cellular barcoding","abstract":"Despite evolving biological application of next-generation sequencing (NGS) at single-cell level, current techniques in NGS library preparation restrict multiplexing, necessitating the costly preparation of distinct libraries for each sample. Here, we report the development of a novel poly(β-amino) ester labeling system synthesized with inexpensive, common reagents, termed POLYseq, capable of efficiently delivering fluorescent molecules or sample-distinguishing DNA barcodes through non-covalent binding enabling rapid creation of custom sample pools. Chemical formulation was found to determine cellular labeling propensity. Live image-based tracking of fluorescent conjugated POLYseq vectors demonstrated lysosomal compartmentalization. Barcode labeling was uniformly detected across 90% of cells by single-cell RNA sequencing, allowing for the successful identification of human and mouse cultured cell lines from a single pool. These findings highlight the multifunctional applications of POLYseq in live cell imaging and NGS in a scalable and cost-effective manner.","journal":"Stem Cell Reports","year":2021,"id":207708,"datarank":0.24141568686511508,"base_score":1.6094379124341003,"endowment":1.6094379124341003,"self_citation_contribution":0.24141568686511508,"citation_network_contribution":0.0,"self_endowment_contribution":0.24141568686511508,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":4,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9532,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":793314,"name":"Yuqi Cai","orcid":"0000-0001-8424-056X","position":1,"is_corresponding":false},{"id":247686,"name":"Kentaro Iwasawa","orcid":"0000-0002-5387-0099","position":2,"is_corresponding":false},{"id":231613,"name":"Masaki Kimura","orcid":"0000-0001-5530-2629","position":3,"is_corresponding":false},{"id":231623,"name":"Takanori Takebe","orcid":"0000-0002-6989-3041","position":4,"is_corresponding":false},{"id":231618,"name":"Andrew Dunn","orcid":"0000-0002-6006-8387","position":0,"is_corresponding":true}],"reference_count":28,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-18T23:51:49.715594Z","pmid":"34450040","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":[]}