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Calling Cards: a customizable platform to longitudinally record protein-DNA interactions over time in cells and tissues.
Yen, Allen; Mateusiak, Chase; Sarafinovska, Simona; Gachechiladze, Mariam A; Guo, Juanru; Chen, Xuhua; Moudgil, Arnav; Cammack, Alexander J; Hoisington-Lopez, Jessica; Crosby, MariaLynn; Brent, Michael R; Mitra, Robi D; Dougherty, Joseph D.
Afiliación
  • Yen A; Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110.
  • Mateusiak C; Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO 63110.
  • Sarafinovska S; Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110.
  • Gachechiladze MA; Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, Saint Louis, MO 63110.
  • Guo J; Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110.
  • Chen X; Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO 63110.
  • Moudgil A; Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110.
  • Cammack AJ; Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO 63110.
  • Hoisington-Lopez J; Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110.
  • Crosby M; Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, Saint Louis, MO 63110.
  • Brent MR; Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110.
  • Mitra RD; Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, Saint Louis, MO 63110.
  • Dougherty JD; Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110.
bioRxiv ; 2023 Jun 09.
Article en En | MEDLINE | ID: mdl-37333130

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article