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Protocol for acquiring high-quality fresh mouse lung spatial transcriptomics data.
Jiang, Yujia; Li, Yixin; Cheng, Mengnan; Xu, Jiangshan; Wei, Xiaoyu; Liu, Chuanyu.
Afiliação
  • Jiang Y; BGI Research, Hangzhou 310030, China; Department of Biology, University of Copenhagen, 2100 Copenhagen, Denmark.
  • Li Y; BGI Research, Hangzhou 310030, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
  • Cheng M; BGI Research, Hangzhou 310030, China; BGI Research, Shenzhen 518083, China.
  • Xu J; BGI Research, Hangzhou 310030, China; BGI Research, Shenzhen 518083, China.
  • Wei X; BGI Research, Hangzhou 310030, China; BGI Research, Shenzhen 518083, China. Electronic address: weixiaoyu@genomics.cn.
  • Liu C; BGI Research, Hangzhou 310030, China; BGI Research, Shenzhen 518083, China; Shanxi Medical University - BGI Collaborative Center for Future Medicine, Shanxi Medical University, Taiyuan, China. Electronic address: liuchuanyu@genomics.cn.
STAR Protoc ; 5(1): 102825, 2024 Mar 15.
Article em En | MEDLINE | ID: mdl-38280199
ABSTRACT
Spatial transcriptomics analysis allows the examination of the biological characteristics and spatial distribution of individual lung cells at a single-cell resolution. However, due to the presence of cavities in the alveoli of the lungs, it is challenging to section them for spatial transcriptomics experiments. Here, we present a protocol for acquiring high-quality fresh mouse lung spatial transcriptomics data. We describe steps for lung perfusion, acquiring frozen slices, collecting cDNA from lung sections, and data analysis. For complete details on the use and execution of this protocol, please refer to Jiang et al.1.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica / Análise de Dados Limite: Animals Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica / Análise de Dados Limite: Animals Idioma: En Ano de publicação: 2024 Tipo de documento: Article