Your browser doesn't support javascript.
loading
Assessment of Mosaicism and Detection of Cryptic Alleles in CRISPR/Cas9-Engineered Neurofibromatosis Type 1 and TP53 Mutant Porcine Models Reveals Overlooked Challenges in Precision Modeling of Human Diseases.
Rubinstein, Clifford Dustin; McLean, Dalton T; Lehman, Brent P; Meudt, Jennifer J; Schomberg, Dominic T; Krentz, Kathy J; Reichert, Jamie L; Meyer, Mark B; Adams, Marie; Konsitzke, Charles M; Shanmuganayagam, Dhanansayan.
Afiliação
  • Rubinstein CD; Biotechnology Center, University of Wisconsin-Madison, Madison, WI, United States.
  • McLean DT; Biotechnology Center, University of Wisconsin-Madison, Madison, WI, United States.
  • Lehman BP; Biotechnology Center, University of Wisconsin-Madison, Madison, WI, United States.
  • Meudt JJ; Biomedical and Genomic Research Group, Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI, United States.
  • Schomberg DT; Biomedical and Genomic Research Group, Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI, United States.
  • Krentz KJ; Biotechnology Center, University of Wisconsin-Madison, Madison, WI, United States.
  • Reichert JL; Swine Research and Teaching Center, Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI, United States.
  • Meyer MB; Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, United States.
  • Adams M; Biotechnology Center, University of Wisconsin-Madison, Madison, WI, United States.
  • Konsitzke CM; Biotechnology Center, University of Wisconsin-Madison, Madison, WI, United States.
  • Shanmuganayagam D; Biomedical and Genomic Research Group, Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI, United States.
Front Genet ; 12: 721045, 2021.
Article em En | MEDLINE | ID: mdl-34630515

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article