Leveraging spatial transcriptomics data to recover cell locations in single-cell RNA-seq with CeLEry.

Zhang, Qihuang; Jiang, Shunzhou; Schroeder, Amelia; Hu, Jian; Li, Kejie; Zhang, Baohong; Dai, David; Lee, Edward B; Xiao, Rui; Li, Mingyao

Zhang, Qihuang; Jiang, Shunzhou; Schroeder, Amelia; Hu, Jian; Li, Kejie; Zhang, Baohong; Dai, David; Lee, Edward B; Xiao, Rui; Li, Mingyao.

Afiliação

Zhang Q; Department of Epidemiology, Biostatistics and Occupational Health, School of Population and Global Health, McGill University, Montreal, QC, Canada. qihuang.zhang@mcgill.ca.
Jiang S; Statistical Center for Single-Cell and Spatial Genomics, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Schroeder A; Statistical Center for Single-Cell and Spatial Genomics, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Hu J; Department of Human Genetics, School of Medicine, Emory University, Atlanta, GA, 30322, USA.
Li K; Research Department, Biogen, Inc., 225 Binney St., Cambridge, MA, 02142, USA.
Zhang B; Research Department, Biogen, Inc., 225 Binney St., Cambridge, MA, 02142, USA.
Dai D; Translational Neuropathology Research Laboratory, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Lee EB; Translational Neuropathology Research Laboratory, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Xiao R; Statistical Center for Single-Cell and Spatial Genomics, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Li M; Statistical Center for Single-Cell and Spatial Genomics, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA. mingyao@pennmedicine.upenn.edu.

Nat Commun ; 14(1): 4050, 2023 07 08.

Article em En | MEDLINE | ID: mdl-37422469

Assuntos

Apium; Transcriptoma; Transcriptoma/genética; Apium/genética; Análise da Expressão Gênica de Célula Única; Análise de Sequência de RNA/métodos; Análise de Célula Única/métodos; Perfilação da Expressão Gênica/métodos

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transcriptoma / Apium Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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