Literature DB >> 11567890

Control genes in quantitative molecular biological techniques: the variability of invariance.

S R Stürzenbaum1, P Kille.   

Abstract

The measurement of transcript levels constitutes the foundation of today's molecular genetics. Independent of the techniques used, quantifications are generally normalised using invariant control genes to account for sample handling, loading and experimental variation. All of the widely used control genes are evaluated, dissecting different methodological approaches and issues regarding the experimental context (e.g. development and tissue type). Furthermore, the major sources of error are highlighted when applying these techniques. Finally, different approaches undertaken to assess the invariance of control genes are critically analysed to generate a procedure that will help to discern the best control for novel experiments.

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Year:  2001        PMID: 11567890     DOI: 10.1016/s1096-4959(01)00440-7

Source DB:  PubMed          Journal:  Comp Biochem Physiol B Biochem Mol Biol        ISSN: 1096-4959            Impact factor:   2.231


  79 in total

1.  Experimental validation of novel and conventional approaches to quantitative real-time PCR data analysis.

Authors:  Stuart N Peirson; Jason N Butler; Russell G Foster
Journal:  Nucleic Acids Res       Date:  2003-07-15       Impact factor: 16.971

2.  Validation of housekeeping genes for gene expression studies in Symbiodinium exposed to thermal and light stress.

Authors:  Nedeljka N Rosic; Mathieu Pernice; Mauricio Rodriguez-Lanetty; Ove Hoegh-Guldberg
Journal:  Mar Biotechnol (NY)       Date:  2010-07-29       Impact factor: 3.619

3.  Ribosomal protein l13a as a reference gene for human bone marrow-derived mesenchymal stromal cells during expansion, adipo-, chondro-, and osteogenesis.

Authors:  Deborah Studer; Stefanie Lischer; Wolfram Jochum; Martin Ehrbar; Marcy Zenobi-Wong; Katharina Maniura-Weber
Journal:  Tissue Eng Part C Methods       Date:  2012-06-07       Impact factor: 3.056

4.  Effects of aging, dietary restriction and glucocorticoid treatment on housekeeping gene expression in rat cortex and hippocampus-evaluation by real time RT-PCR.

Authors:  Nikola Tanic; Milka Perovic; Aleksandra Mladenovic; Sabera Ruzdijic; Selma Kanazir
Journal:  J Mol Neurosci       Date:  2007       Impact factor: 3.444

5.  Selection of the internal control gene for real-time quantitative rt-PCR assays in temperature treated Leptospira.

Authors:  Erika Margarita Carrillo-Casas; Rigoberto Hernández-Castro; Francisco Suárez-Güemes; Alejandro de la Peña-Moctezuma
Journal:  Curr Microbiol       Date:  2008-03-18       Impact factor: 2.188

6.  Identification of differentially expressed transcripts from leaves of the boron tolerant plant Gypsophila perfoliata L.

Authors:  Turgay Unver; Osman Bozkurt; Mahinur S Akkaya
Journal:  Plant Cell Rep       Date:  2008-05-27       Impact factor: 4.570

7.  Characterization of reference genes for quantitative real-time PCR analysis in various tissues of Salvia miltiorrhiza.

Authors:  Yanfang Yang; Shuang Hou; Guanghong Cui; Shilin Chen; Jianhe Wei; Luqi Huang
Journal:  Mol Biol Rep       Date:  2009-08-13       Impact factor: 2.316

Review 8.  Human Wound-Healing Research: Issues and Perspectives for Studies Using Wide-Scale Analytic Platforms.

Authors:  Kristo Nuutila; Shintaro Katayama; Jyrki Vuola; Esko Kankuri
Journal:  Adv Wound Care (New Rochelle)       Date:  2014-03-01       Impact factor: 4.730

9.  Selection of reference genes for quantitative reverse-transcription polymerase chain reaction normalization in Brassica napus under various stress conditions.

Authors:  Zheng Wang; Yu Chen; Hedi Fang; Haifeng Shi; Keping Chen; Zhiyan Zhang; Xiaoli Tan
Journal:  Mol Genet Genomics       Date:  2014-04-27       Impact factor: 3.291

10.  Reference genes for quantitative analysis on Clonorchis sinensis gene expression by real-time PCR.

Authors:  Won Gi Yoo; Tae Im Kim; Shunyu Li; Oh Sil Kwon; Pyo Yun Cho; Tong-Soo Kim; Kijeong Kim; Sung-Jong Hong
Journal:  Parasitol Res       Date:  2008-09-25       Impact factor: 2.289

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