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Systematic Reconstruction of Molecular Cascades Regulating GP Development Using Single-Cell RNA-Seq.
Li, Junxiang; Luo, Haofei; Wang, Rui; Lang, Jidong; Zhu, Siyu; Zhang, Zhenming; Fang, Jianhuo; Qu, Keke; Lin, Yuting; Long, Haizhou; Yao, Yi; Tian, Geng; Wu, Qiong.
Afiliación
  • Li J; MOE Key Laboratory of Bioinformatics, Center for Synthetic and System Biology, Tsinghua University, Beijing, China; School of Life Sciences, Tsinghua University, Beijing 100084, China.
  • Luo H; School of Life Sciences, Tsinghua University, Beijing 100084, China.
  • Wang R; MOE Key Laboratory of Bioinformatics, Center for Synthetic and System Biology, Tsinghua University, Beijing, China; School of Life Sciences, Tsinghua University, Beijing 100084, China.
  • Lang J; School of Medicine, Tsinghua University, Beijing 10084, China.
  • Zhu S; School of Life Sciences, Tsinghua University, Beijing 100084, China.
  • Zhang Z; MOE Key Laboratory of Bioinformatics, Center for Synthetic and System Biology, Tsinghua University, Beijing, China; School of Life Sciences, Tsinghua University, Beijing 100084, China.
  • Fang J; School of Medicine, Tsinghua University, Beijing 10084, China.
  • Qu K; MOE Key Laboratory of Bioinformatics, Center for Synthetic and System Biology, Tsinghua University, Beijing, China; School of Life Sciences, Tsinghua University, Beijing 100084, China.
  • Lin Y; School of Medicine, Tsinghua University, Beijing 10084, China.
  • Long H; MOE Key Laboratory of Bioinformatics, Center for Synthetic and System Biology, Tsinghua University, Beijing, China; School of Life Sciences, Tsinghua University, Beijing 100084, China; Center for Synthetic & System Biology, Tsinghua University, Beijing 10084, China.
  • Yao Y; MOE Key Laboratory of Bioinformatics, Center for Synthetic and System Biology, Tsinghua University, Beijing, China; School of Life Sciences, Tsinghua University, Beijing 100084, China; Center for Synthetic & System Biology, Tsinghua University, Beijing 10084, China.
  • Tian G; School of Medicine, Tsinghua University, Beijing 10084, China.
  • Wu Q; MOE Key Laboratory of Bioinformatics, Center for Synthetic and System Biology, Tsinghua University, Beijing, China; School of Life Sciences, Tsinghua University, Beijing 100084, China; Center for Synthetic & System Biology, Tsinghua University, Beijing 10084, China. Electronic address: wuqiong@t
Cell Rep ; 15(7): 1467-1480, 2016 05 17.
Article en En | MEDLINE | ID: mdl-27160914
The growth plate (GP) comprising sequentially differentiated cell layers is a critical structure for bone elongation and regeneration. Although several key regulators in GP development have been identified using genetic perturbation, systematic understanding is still limited. Here, we used single-cell RNA-sequencing (RNA-seq) to determine the gene expression profiles of 217 single cells from GPs and developed a bioinformatics pipeline named Sinova to de novo reconstruct physiological GP development in both temporal and spatial high resolution. Our unsupervised model not only confirmed prior knowledge, but also enabled the systematic discovery of genes, potential signal pathways, and surface markers CD9/CD200 to precisely depict development. Sinova further identified the effective combination of transcriptional factors (TFs) that regulates GP maturation, and the result was validated using an in vitro EGFP-Col10a screening system. Our case systematically reconstructed molecular cascades in GP development through single-cell profiling, and the bioinformatics pipeline is applicable to other developmental processes. VIDEO ABSTRACT.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Transducción de Señal / Análisis de Secuencia de ARN / Análisis de la Célula Individual / Placa de Crecimiento Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Cell Rep Año: 2016 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Transducción de Señal / Análisis de Secuencia de ARN / Análisis de la Célula Individual / Placa de Crecimiento Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Cell Rep Año: 2016 Tipo del documento: Article País de afiliación: China
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