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DEPICT-seq: Single-Cell Transcriptomic Analysis of Rare Cell Subsets Isolated via Nucleic Acid Cytometry.
Bao, Kaixuan; Jiang, Xiaochun; Hu, Hong-Min; Liu, Tiemin; Zhang, Jingwei.
Afiliação
  • Bao K; State Key Laboratory of Genetic Engineering, Human Phenome Institute, Department of Endocrinology and Metabolism, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai 200438, China.
  • Jiang X; ImmuXell Biotech Ltd., Shanghai 201315, China.
  • Hu HM; ImmuXell Biotech Ltd., Shanghai 201315, China.
  • Liu T; State Key Laboratory of Genetic Engineering, Human Phenome Institute, Department of Endocrinology and Metabolism, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai 200438, China.
  • Zhang J; School of Life Sciences, Inner Mongolia University, Hohhot, Inner Mongolia 010020, China.
Anal Chem ; 96(41): 16236-16243, 2024 Oct 15.
Article em En | MEDLINE | ID: mdl-39287475
ABSTRACT
The ability to dive deep into specific rare cell populations is critical for understanding tissue physiology and pathology across various biological domains. As single-cell RNA-seq flourishes, many newly discovered cell subtypes are defined by their transcriptomic markers. However, our ability to retrieve and analyze cells based on their nucleic acid markers remains underdeveloped. Here, we present Double Emulsion PCR-Initiated Cell sorting and Transcriptomic Sequencing (DEPICT-seq), a high-throughput droplet nucleic acid cytometry method that integrates batch cell fixation for cellular information preservation, double emulsion digital PCR-based cell sorting to target nucleic acid markers of interest, and in-depth full-length transcriptomic analyses at single-cell resolution. We utilize DEPICT-seq to isolate and characterize T cell receptor (TCR)-engineered T cells within a mixed population and also demonstrate a variation of the workflow by incorporating an RNase H-dependent PCR step to enrich full-length TCR sequences for paired single-cell TCR sequencing and transcriptomic profiling.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise de Célula Única Limite: Animals / Humans Idioma: En Revista: Anal Chem Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise de Célula Única Limite: Animals / Humans Idioma: En Revista: Anal Chem Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China
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