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Techniques for Studying Decoding of Single Cell Dynamics.
Jeknic, Stevan; Kudo, Takamasa; Covert, Markus W.
Afiliação
  • Jeknic S; Department of Bioengineering, Stanford University, Stanford, CA, United States.
  • Kudo T; Allen Discovery Center for Systems Modeling of Infection, Stanford, CA, United States.
  • Covert MW; Allen Discovery Center for Systems Modeling of Infection, Stanford, CA, United States.
Front Immunol ; 10: 755, 2019.
Article em En | MEDLINE | ID: mdl-31031756
Cells must be able to interpret signals they encounter and reliably generate an appropriate response. It has long been known that the dynamics of transcription factor and kinase activation can play a crucial role in selecting an individual cell's response. The study of cellular dynamics has expanded dramatically in the last few years, with dynamics being discovered in novel pathways, new insights being revealed about the importance of dynamics, and technological improvements increasing the throughput and capabilities of single cell measurements. In this review, we highlight the important developments in this field, with a focus on the methods used to make new discoveries. We also include a discussion on improvements in methods for engineering and measuring single cell dynamics and responses. Finally, we will briefly highlight some of the many challenges and avenues of research that are still open.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise de Célula Única / Microscopia Limite: Animals / Humans Idioma: En Revista: Front Immunol Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise de Célula Única / Microscopia Limite: Animals / Humans Idioma: En Revista: Front Immunol Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Suíça