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Semiquantitative RT-PCR analysis to assess the expression levels of multiple transcripts from the same sample

We describe a semiquantitative RT-PCR protocol optimized in our laboratory to extract RNA from as little as 10,000 cells and to measure the expression levels of several target mRNAs from each sample. This procedure was optimized on the human erythroleukemia cell line TF-1 but was successfully used o...

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Detalles Bibliográficos
Autores principales: Marone, Maria, Mozzetti, Simona, De Ritis, Daniela, Pierelli, Luca, Scambia, Giovanni
Formato: Texto
Lenguaje:English
Publicado: Biological Procedures Online 2001
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC145543/
https://www.ncbi.nlm.nih.gov/pubmed/12734582
http://dx.doi.org/10.1251/bpo20
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author Marone, Maria
Mozzetti, Simona
De Ritis, Daniela
Pierelli, Luca
Scambia, Giovanni
author_facet Marone, Maria
Mozzetti, Simona
De Ritis, Daniela
Pierelli, Luca
Scambia, Giovanni
author_sort Marone, Maria
collection PubMed
description We describe a semiquantitative RT-PCR protocol optimized in our laboratory to extract RNA from as little as 10,000 cells and to measure the expression levels of several target mRNAs from each sample. This procedure was optimized on the human erythroleukemia cell line TF-1 but was successfully used on primary cells and on different cell lines. We describe the detailed procedure for the analysis of Bcl-2 levels. Aldolase A was used as an internal control to normalize for sample to sample variations in total RNA amounts and for reaction efficiency. As for all quantitative techniques, great care must be taken in all optimization steps: the necessary controls to ensure a rough quantitative (semi-quantitative) analysis are described here, together with an example from a study on the effects of TGF-β1 in TF-1 cells.
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spelling pubmed-1455432003-04-15 Semiquantitative RT-PCR analysis to assess the expression levels of multiple transcripts from the same sample Marone, Maria Mozzetti, Simona De Ritis, Daniela Pierelli, Luca Scambia, Giovanni Biol Proced Online Research Article We describe a semiquantitative RT-PCR protocol optimized in our laboratory to extract RNA from as little as 10,000 cells and to measure the expression levels of several target mRNAs from each sample. This procedure was optimized on the human erythroleukemia cell line TF-1 but was successfully used on primary cells and on different cell lines. We describe the detailed procedure for the analysis of Bcl-2 levels. Aldolase A was used as an internal control to normalize for sample to sample variations in total RNA amounts and for reaction efficiency. As for all quantitative techniques, great care must be taken in all optimization steps: the necessary controls to ensure a rough quantitative (semi-quantitative) analysis are described here, together with an example from a study on the effects of TGF-β1 in TF-1 cells. Biological Procedures Online 2001-11-16 /pmc/articles/PMC145543/ /pubmed/12734582 http://dx.doi.org/10.1251/bpo20 Text en Copyright © November 11, 2001, M Marone et al. Published in Biological Procedures Online under license from the authors. Copying, printing, redistribution and storage permitted.
spellingShingle Research Article
Marone, Maria
Mozzetti, Simona
De Ritis, Daniela
Pierelli, Luca
Scambia, Giovanni
Semiquantitative RT-PCR analysis to assess the expression levels of multiple transcripts from the same sample
title Semiquantitative RT-PCR analysis to assess the expression levels of multiple transcripts from the same sample
title_full Semiquantitative RT-PCR analysis to assess the expression levels of multiple transcripts from the same sample
title_fullStr Semiquantitative RT-PCR analysis to assess the expression levels of multiple transcripts from the same sample
title_full_unstemmed Semiquantitative RT-PCR analysis to assess the expression levels of multiple transcripts from the same sample
title_short Semiquantitative RT-PCR analysis to assess the expression levels of multiple transcripts from the same sample
title_sort semiquantitative rt-pcr analysis to assess the expression levels of multiple transcripts from the same sample
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC145543/
https://www.ncbi.nlm.nih.gov/pubmed/12734582
http://dx.doi.org/10.1251/bpo20
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