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qSR: a quantitative super-resolution analysis tool reveals the cell-cycle dependent organization of RNA Polymerase I in live human cells.
Andrews, J O; Conway, W; Cho, W-K; Narayanan, A; Spille, J-H; Jayanth, N; Inoue, T; Mullen, S; Thaler, J; Cissé, I I.
Afiliação
  • Andrews JO; Department of Physics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
  • Conway W; Department of Physics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
  • Cho WK; Department of Physics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
  • Narayanan A; Department of Physics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
  • Spille JH; Department of Physics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
  • Jayanth N; Department of Physics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
  • Inoue T; Department of Physics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
  • Mullen S; Department of Physics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
  • Thaler J; Department of Physics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
  • Cissé II; Department of Physics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA. icisse@mit.edu.
Sci Rep ; 8(1): 7424, 2018 05 09.
Article em En | MEDLINE | ID: mdl-29743503
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Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Assunto principal: Software / RNA Polimerase I / Ciclo Celular / Ensaios Enzimáticos / Análise de Dados Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Assunto principal: Software / RNA Polimerase I / Ciclo Celular / Ensaios Enzimáticos / Análise de Dados Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos