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dc.contributor.authorTsuchida, Arataen
dc.contributor.authorKaneko, Taikopaulen
dc.contributor.authorNishikawa, Kaorien
dc.contributor.authorKawasaki, Mayuen
dc.contributor.authorYokokawa, Ryujien
dc.contributor.authorShintaku, Hirofumien
dc.contributor.alternative土田, 新ja
dc.contributor.alternative金子, 泰洸ポールja
dc.contributor.alternative横川, 隆司ja
dc.contributor.alternative新宅, 博文ja
dc.date.accessioned2024-04-23T02:32:17Z-
dc.date.available2024-04-23T02:32:17Z-
dc.date.issued2024-04-21-
dc.identifier.urihttp://hdl.handle.net/2433/287554-
dc.description.abstractWe introduce a simple integrated analysis method that links cellular phenotypic behaviour with single-cell RNA sequencing (scRNA-seq) by utilizing a combination of optical indices from cells and hydrogel beads. With our method, the combinations, referred to as joint colour codes, enable the link via matching the optical combinations measured by conventional epi-fluorescence microscopy with the concatenated DNA molecular barcodes created by cell-hydrogel bead pairs and sequenced by next-generation sequencing. We validated our approach by demonstrating an accurate link between the cell image and scRNA-seq with mixed species experiments, longitudinal cell tagging by electroporation and lipofection, and gene expression analysis. Furthermore, we extended our approach to multiplexed chemical transcriptomics, which enabled us to identify distinct phenotypic behaviours in HeLa cells treated with various concentrations of paclitaxel, and determine the corresponding gene regulation associated with the formation of a multipolar spindle.en
dc.language.isoeng-
dc.publisherRoyal Society of Chemistry (RSC)en
dc.rightsThis is an accepted manuscript of the paper which has been published in final form at DOI https://doi.org/10.1039/D3LC00866Een
dc.rightsThe full-text file will be made open to the public on 20 Mar 2025 in accordance with publisher's 'Terms and Conditions for Self-Archiving'en
dc.rightsThis is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。en
dc.titleOpto-combinatorial indexing enables high-content transcriptomics by linking cell images and transcriptomesen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleLab on a Chipen
dc.identifier.volume24-
dc.identifier.issue8-
dc.identifier.spage2287-
dc.identifier.epage2297-
dc.relation.doi10.1039/D3LC00866E-
dc.textversionauthor-
dc.identifier.pmid38506394-
dcterms.accessRightsembargoed access-
datacite.date.available2025-03-20-
datacite.awardNumber21K18194-
datacite.awardNumber21K14516-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21K18194/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21K14516/-
dc.identifier.pissn1473-0197-
dc.identifier.eissn1473-0189-
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.awardTitleナノ電気穿孔を用いた1細胞ダイナミクス計測法の創成ja
jpcoar.awardTitle細胞間相互作用の理解に向けた in situ1細胞タイムラプスRNA-seqの開発ja
出現コレクション:学術雑誌掲載論文等

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