Identification of transcription factors dictating blood cell development using a bidirectional transcription network-based computational framework.

Heuts, B M H; Arza-Apalategi, S; Frölich, S; Bergevoet, S M; van den Oever, S N; van Heeringen, S J; van der Reijden, B A; Martens, J H A

Heuts, B M H; Arza-Apalategi, S; Frölich, S; Bergevoet, S M; van den Oever, S N; van Heeringen, S J; van der Reijden, B A; Martens, J H A.

Afiliação

Heuts BMH; Department of Molecular Biology, Faculty of Science, RIMLS, Radboud University, 6525 GA, Nijmegen, The Netherlands.
Arza-Apalategi S; Department of Laboratory Medicine, Laboratory of Hematology, Radboud Institute for Molecular Life Sciences (RIMLS), Radboud University Medical Center, 6525 GA, Nijmegen, The Netherlands.
Frölich S; Department of Molecular Developmental Biology, Faculty of Science, RIMLS, Radboud University, 6525 GA, Nijmegen, The Netherlands.
Bergevoet SM; Department of Laboratory Medicine, Laboratory of Hematology, Radboud Institute for Molecular Life Sciences (RIMLS), Radboud University Medical Center, 6525 GA, Nijmegen, The Netherlands.
van den Oever SN; Department of Molecular Biology, Faculty of Science, RIMLS, Radboud University, 6525 GA, Nijmegen, The Netherlands.
van Heeringen SJ; Department of Molecular Developmental Biology, Faculty of Science, RIMLS, Radboud University, 6525 GA, Nijmegen, The Netherlands.
van der Reijden BA; Department of Laboratory Medicine, Laboratory of Hematology, Radboud Institute for Molecular Life Sciences (RIMLS), Radboud University Medical Center, 6525 GA, Nijmegen, The Netherlands. Bert.vanderReijden@radboudumc.nl.
Martens JHA; Department of Molecular Biology, Faculty of Science, RIMLS, Radboud University, 6525 GA, Nijmegen, The Netherlands. J.Martens@science.ru.nl.

Sci Rep ; 12(1): 18656, 2022 11 04.

Article em En | MEDLINE | ID: mdl-36333382

Assuntos

Redes Reguladoras de Genes; Leucemia Mieloide Aguda; Humanos; Fatores de Transcrição/genética; Fatores de Transcrição/metabolismo; Leucemia Mieloide Aguda/genética; Algoritmos; Células Sanguíneas/metabolismo; Biologia Computacional

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Leucemia Mieloide Aguda / Redes Reguladoras de Genes Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Holanda

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