Weighted gene co-expression network analysis to explore the mechanism of heroin addiction in human nucleus accumbens.

Shi, Xugang; Li, Yunxiao; Yan, Peng; Shi, Yuhui; Lai, Jianghua

Shi, Xugang; Li, Yunxiao; Yan, Peng; Shi, Yuhui; Lai, Jianghua.

Afiliación

Shi X; Key Laboratory of Environment and Genes Related to Diseases, Xi'an Jiaotong University, Ministry of Education, Xi'an, China.
Li Y; College of Forensic Science, Key Laboratory of Public Health for Forensic Science, Xi'an Jiaotong University, Xi'an, China.
Yan P; Key Laboratory of Environment and Genes Related to Diseases, Xi'an Jiaotong University, Ministry of Education, Xi'an, China.
Shi Y; College of Forensic Science, Key Laboratory of Public Health for Forensic Science, Xi'an Jiaotong University, Xi'an, China.
Lai J; Key Laboratory of Environment and Genes Related to Diseases, Xi'an Jiaotong University, Ministry of Education, Xi'an, China.

J Cell Biochem ; 121(2): 1870-1879, 2020 02.

Article en En | MEDLINE | ID: mdl-31692007

Asunto(s)

Biomarcadores/análisis; Biología Computacional/métodos; Regulación de la Expresión Génica; Redes Reguladoras de Genes; Dependencia de Heroína/genética; Núcleo Accumbens/metabolismo; Perfilación de la Expresión Génica; Ontología de Genes; Dependencia de Heroína/patología; Humanos; Masculino; MicroARNs/genética

Palabras clave

candidate gene; gene expression; modules; weighted gene co-expression network analysis

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Biomarcadores / Regulación de la Expresión Génica / Biología Computacional / Redes Reguladoras de Genes / Dependencia de Heroína / Núcleo Accumbens Tipo de estudio: Prognostic_studies Límite: Humans / Male Idioma: En Revista: J Cell Biochem Año: 2020 Tipo del documento: Article País de afiliación: China

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