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3D Amplified Single-Cell RNA and Protein Imaging Identifies Oncogenic Transcript Subtypes in B-Cell Acute Lymphoblastic Leukemia
DC Field | Value | Language |
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dc.contributor.author | 정해림 | - |
dc.contributor.author | 조현수 | - |
dc.date.accessioned | 2024-04-11T06:27:37Z | - |
dc.date.available | 2024-04-11T06:27:37Z | - |
dc.date.issued | 2024-02 | - |
dc.identifier.issn | 1936-0851 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/198796 | - |
dc.description.abstract | Simultaneous in situ detection of transcript and protein markers at the single-cell level is essential for gaining a better understanding of tumor heterogeneity and for predicting and monitoring treatment responses. However, the limited accessibility to advanced 3D imaging techniques has hindered their rapid implementation. Here, we present a 3D single-cell imaging technique, termed 3D digital rolling circle amplification (4DRCA), capable of the multiplexed and amplified simultaneous digital quantification of single-cell RNAs and proteins using standard fluorescence microscopy and off-the-shelf reagents. We generated spectrally distinguishable DNA amplicons from molecular markers through an integrative protocol combining single-cell RNA and protein assays and directly enumerated the amplicons by leveraging an open-source algorithm for 3D deconvolution with a custom-built automatic gating algorithm. With 4DRCA, we were able to simultaneously quantify surface protein markers and cytokine transcripts in T-lymphocytes. We also show that 4DRCA can distinguish BCR-ABL1 fusion transcript positive B-cell acute lymphoblastic leukemia cells with or without CD19 protein expression. The accessibility and extensibility of 4DRCA render it broadly applicable to other cell-based diagnostic workflows, enabling sensitive and accurate single-cell RNA and protein profiling. | - |
dc.description.statementOfResponsibility | restriction | - |
dc.language | English | - |
dc.publisher | American Chemical Society | - |
dc.relation.isPartOf | ACS NANO | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | 3D Amplified Single-Cell RNA and Protein Imaging Identifies Oncogenic Transcript Subtypes in B-Cell Acute Lymphoblastic Leukemia | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Internal Medicine (내과학교실) | - |
dc.contributor.googleauthor | Suyeon Shin | - |
dc.contributor.googleauthor | Yoon-Jin Kim | - |
dc.contributor.googleauthor | Hyo Geun Yun | - |
dc.contributor.googleauthor | Haerim Chung | - |
dc.contributor.googleauthor | Hyunsoo Cho | - |
dc.contributor.googleauthor | Sungyoung Choi | - |
dc.identifier.doi | 10.1021/acsnano.3c10421 | - |
dc.contributor.localId | A04674 | - |
dc.contributor.localId | A03929 | - |
dc.relation.journalcode | J00005 | - |
dc.identifier.eissn | 1936-086X | - |
dc.identifier.pmid | 38320154 | - |
dc.identifier.url | https://pubs.acs.org/doi/10.1021/acsnano.3c10421 | - |
dc.subject.keyword | 3D amplified cell imaging | - |
dc.subject.keyword | 3D digital rolling circle amplification | - |
dc.subject.keyword | B-cell acute lymphoblastic leukemia | - |
dc.subject.keyword | simultaneous RNA and protein profiling | - |
dc.subject.keyword | single-cell analysis | - |
dc.contributor.alternativeName | Chung, Hae Rim | - |
dc.contributor.affiliatedAuthor | 정해림 | - |
dc.contributor.affiliatedAuthor | 조현수 | - |
dc.citation.volume | 18 | - |
dc.citation.number | 7 | - |
dc.citation.startPage | 5457 | - |
dc.citation.endPage | 5469 | - |
dc.identifier.bibliographicCitation | ACS NANO, Vol.18(7) : 5457-5469, 2024-02 | - |
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