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Corrigendum to "Characterization of the cell growth analysis for detection of immortal cellular impurities in human mesenchymal stem cells" [Biologicals 43 (2) (March 2015) 146-149].
Kono, Ken; Takada, Nozomi; Yasuda, Satoshi; Sawada, Rumi; Niimi, Shingo; Matsuyama, Akifumi; Sato, Yoji.
Afiliação
  • Kono K; Division of Medical Devices, National Institute of Health Sciences, 1-18-1 Kami-yoga, Setagaya, Tokyo, 158-8501, Japan.
  • Takada N; Division of Cellular & Gene Therapy Products, National Institute of Health Sciences, 1-18-1 Kami-yoga, Setagaya, Tokyo, 158-8501, Japan; Research on Disease Bioresources, Platform of Therapeutics for Rare Disease and Health Policy, National Institute of Biomedical Innovation, Kobe International
  • Yasuda S; Division of Cellular & Gene Therapy Products, National Institute of Health Sciences, 1-18-1 Kami-yoga, Setagaya, Tokyo, 158-8501, Japan; Foundation for Biomedical Research and Innovation, Hyogo, Japan.
  • Sawada R; Division of Medical Devices, National Institute of Health Sciences, 1-18-1 Kami-yoga, Setagaya, Tokyo, 158-8501, Japan.
  • Niimi S; Division of Medical Devices, National Institute of Health Sciences, 1-18-1 Kami-yoga, Setagaya, Tokyo, 158-8501, Japan.
  • Matsuyama A; Research on Disease Bioresources, Platform of Therapeutics for Rare Disease and Health Policy, National Institute of Biomedical Innovation, Kobe International Business Center Rm#602, 5-5-2 Minatojima-Minami-Machi, Chuo-ku, Kobe, Hyogo, 650-0047, Japan.
  • Sato Y; Division of Cellular & Gene Therapy Products, National Institute of Health Sciences, 1-18-1 Kami-yoga, Setagaya, Tokyo, 158-8501, Japan; Foundation for Biomedical Research and Innovation, Hyogo, Japan; Department of Quality Assurance Science for Pharmaceuticals, Graduate School of Pharmaceutical
Biologicals ; 45: 106, 2017 01.
Article em En | MEDLINE | ID: mdl-27876402
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article
Texto completo
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article