Transcriptome meta-analysis of peripheral lymphomononuclear cells indicates that gestational diabetes is closer to type 1 diabetes than to type 2 diabetes mellitus (2013)
- Authors:
- USP affiliated authors: FOSS, MILTON CESAR - FMRP ; FREITAS, MARIA CRISTINA FOSS DE - FMRP ; HOJO, ELZA TIEMI SAKAMOTO - FFCLRP ; PASSOS JUNIOR, GERALDO ALEIXO DA SILVA - FORP ; DONADI, EDUARDO ANTONIO - FMRP
- Unidades: FMRP; FFCLRP; FORP
- DOI: 10.1007/s11033-013-2635-y
- Subjects: DIABETES MELLITUS; EXPRESSÃO GÊNICA
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Molecular Biology Reports
- ISSN: 0301-4851
- Volume/Número/Paginação/Ano: v. 40, n. 9, p. 5351-5358, 2013
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
COLLARES, C. V. A. et al. Transcriptome meta-analysis of peripheral lymphomononuclear cells indicates that gestational diabetes is closer to type 1 diabetes than to type 2 diabetes mellitus. Molecular Biology Reports, v. 40, n. 9, p. 5351-5358, 2013Tradução . . Disponível em: https://doi.org/10.1007/s11033-013-2635-y. Acesso em: 24 abr. 2024. -
APA
Collares, C. V. A., Evangelista, A. F., Xavier, D. J., Takahashi, P., Almeida, R., Macedo, C., et al. (2013). Transcriptome meta-analysis of peripheral lymphomononuclear cells indicates that gestational diabetes is closer to type 1 diabetes than to type 2 diabetes mellitus. Molecular Biology Reports, 40( 9), 5351-5358. doi:10.1007/s11033-013-2635-y -
NLM
Collares CVA, Evangelista AF, Xavier DJ, Takahashi P, Almeida R, Macedo C, Manoel-Caetano F, Foss MC, Foss-Freitas MC, Rassi DM, Sakamoto-Hojo ET, Passos GAS, Donadi EA. Transcriptome meta-analysis of peripheral lymphomononuclear cells indicates that gestational diabetes is closer to type 1 diabetes than to type 2 diabetes mellitus [Internet]. Molecular Biology Reports. 2013 ; 40( 9): 5351-5358.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1007/s11033-013-2635-y -
Vancouver
Collares CVA, Evangelista AF, Xavier DJ, Takahashi P, Almeida R, Macedo C, Manoel-Caetano F, Foss MC, Foss-Freitas MC, Rassi DM, Sakamoto-Hojo ET, Passos GAS, Donadi EA. Transcriptome meta-analysis of peripheral lymphomononuclear cells indicates that gestational diabetes is closer to type 1 diabetes than to type 2 diabetes mellitus [Internet]. Molecular Biology Reports. 2013 ; 40( 9): 5351-5358.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1007/s11033-013-2635-y - Modulated metabolism genes in lymphomononuclears cells of recently diagnosed type 1 diabetes mellitus patients
- Transcriptome analyses comparing the profiles of type 1, type 2 and gestational diabetes mellitus show differential expression of HLA and KIR genes
- Differential expression of microRNAS in type 1 and gestational diabetes pinpointed MIR-181A as potential biomarker for gestational diabetes
- Assessment of DNA damage and mRNA/miRNA transcriptional expression profiles in hyperglycemic versus non-hyperglycemic patients with type 2 diabetes mellitus
- Transcriptome analysis reveals participation of individual genes, signaling pathways and biological processes related to inflammation in gestacional Diabetes
- Gene expression profiles of patients with type-1, type-2, or gestational Diabetes Mellitus reveals their response to oxidative stress and DNA damage
- Integrative translational analysis of transcriptome comparing autoimmune and non-autoimmune diabetic types showed influence of dendritic cell antigen presentation and time of Disease
- Gene expression profiles displayed by peripheral blood mononuclear cells from patients with type 2 diabetes mellitus focusing on biological processes implicated on the pathogenesis of the disease
- Participation of individual genes, signaling pathways and biological processes related to inflammation in gestational diabetes mellitus
- Comparison of the expression of HLA-DQ and HLA-DR genes between immune-mediated (type 1 diabetes mellitus) and non-immune-mediated diabetes (type 2 and gestational) by transcriptome analysis
Informações sobre o DOI: 10.1007/s11033-013-2635-y (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
