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Normalization in Human Glioma Tissue

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Quantitative Real-Time PCR

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2065))

Abstract

For tissues obtained from glioma samples with/without nonneoplastic brain there is no consensus for universal reference gene but there are some potential genes that might have good stability, under certain conditions. Considering all points described in this work, the care with tissue collection, until gene amplification, directly impacts on the reliable characterization of its mRNA levels. Moreover, it is clear the importance of selecting the most appropriate reference genes for each experimental situation, to allow the accurate normalization of target genes, especially for genes that are subtly regulated.

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Author information

Authors and Affiliations

  1. Laboratório de Biologia Celular, Departamento de Ciências Básicas da Saúde (DCBS), Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Porto Alegre, RS, Brazil

    Ana Paula Santin Bertoni, Isabele Cristiana Iser, Rafael Paschoal de Campos & Márcia Rosangela Wink

  2. Laboratório de Sinalização e Plasticidade Celular, Departamento de Biofísica, Instituto de Biociências, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil

    Rafael Paschoal de Campos

Authors
  1. Ana Paula Santin Bertoni
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  2. Isabele Cristiana Iser
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  3. Rafael Paschoal de Campos
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  4. Márcia Rosangela Wink
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Editor information

Editors and Affiliations

  1. Molecular Diagnostics, IRCCS, Istituto Giannina Gaslini, Genova, Italy

    Roberto Biassoni

  2. ASL3 Sistema Sanitario Regione Liguria, S.C. Laboratorio d’Analisi, Genova, Italy

    Alessandro Raso

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Bertoni, A.P.S., Iser, I.C., de Campos, R.P., Wink, M.R. (2020). Normalization in Human Glioma Tissue. In: Biassoni, R., Raso, A. (eds) Quantitative Real-Time PCR. Methods in Molecular Biology, vol 2065. Humana, New York, NY. https://doi.org/10.1007/978-1-4939-9833-3_13

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  • DOI: https://doi.org/10.1007/978-1-4939-9833-3_13

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-4939-9832-6

  • Online ISBN: 978-1-4939-9833-3

  • eBook Packages: Springer Protocols

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