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Transcribed-ultra conserved region expression profiling from low-input total RNA

BACKGROUND: Ultra Conserved Regions (UCRs) are a class of 481 noncoding sequences located in both intra- and inter-genic regions of the genome. The recent findings that they are significantly altered in adult chronic lymphocytic leukemias, carcinomas, and pediatric neuroblastomas lead to the hypothe...

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Autores principales: Scaruffi, Paola, Stigliani, Sara, Coco, Simona, Valdora, Franscesca, De Vecchi, Carla, Bonassi, Stefano, Tonini, Gian Paolo
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2838852/
https://www.ncbi.nlm.nih.gov/pubmed/20199688
http://dx.doi.org/10.1186/1471-2164-11-149
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author Scaruffi, Paola
Stigliani, Sara
Coco, Simona
Valdora, Franscesca
De Vecchi, Carla
Bonassi, Stefano
Tonini, Gian Paolo
author_facet Scaruffi, Paola
Stigliani, Sara
Coco, Simona
Valdora, Franscesca
De Vecchi, Carla
Bonassi, Stefano
Tonini, Gian Paolo
author_sort Scaruffi, Paola
collection PubMed
description BACKGROUND: Ultra Conserved Regions (UCRs) are a class of 481 noncoding sequences located in both intra- and inter-genic regions of the genome. The recent findings that they are significantly altered in adult chronic lymphocytic leukemias, carcinomas, and pediatric neuroblastomas lead to the hypothesis that UCRs may play a role in tumorigenesis. RESULTS: We present a novel application of Ribo-SPIA™ isothermal linear amplification of minute RNA quantities for quantifying Transcribed-UCR (T-UCR) expression by quantitative PCR. Direct comparison of non-amplified with amplified cDNA in two neuroblastoma cell lines showed that the amplification approach increases sensitivity and repeatability in T-UCR quantification. It is noteworthy that the Ribo-SPIA™ step allowed us to analyze all 481 T-UCRs by using 150 ng of RNA, while introducing a minimal bias and preserving the magnitude of relative expression. Only the less abundant T-UCRs have high intra-assay variability, consistently with the Poisson distribution statistics and stochastic effects on PCR repeatability. CONCLUSIONS: We demonstrated that the quantification procedure shown here is an accurate and reliable technique for genome-wide non coding gene (i.e., UCRs) profiling using small amounts of RNA. This issue is particularly important because studies of transcription regulation are increasingly conducted in small homogeneous samples, such as laser capture microdissected or sorted cell populations.
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spelling pubmed-28388522010-03-16 Transcribed-ultra conserved region expression profiling from low-input total RNA Scaruffi, Paola Stigliani, Sara Coco, Simona Valdora, Franscesca De Vecchi, Carla Bonassi, Stefano Tonini, Gian Paolo BMC Genomics Methodology Article BACKGROUND: Ultra Conserved Regions (UCRs) are a class of 481 noncoding sequences located in both intra- and inter-genic regions of the genome. The recent findings that they are significantly altered in adult chronic lymphocytic leukemias, carcinomas, and pediatric neuroblastomas lead to the hypothesis that UCRs may play a role in tumorigenesis. RESULTS: We present a novel application of Ribo-SPIA™ isothermal linear amplification of minute RNA quantities for quantifying Transcribed-UCR (T-UCR) expression by quantitative PCR. Direct comparison of non-amplified with amplified cDNA in two neuroblastoma cell lines showed that the amplification approach increases sensitivity and repeatability in T-UCR quantification. It is noteworthy that the Ribo-SPIA™ step allowed us to analyze all 481 T-UCRs by using 150 ng of RNA, while introducing a minimal bias and preserving the magnitude of relative expression. Only the less abundant T-UCRs have high intra-assay variability, consistently with the Poisson distribution statistics and stochastic effects on PCR repeatability. CONCLUSIONS: We demonstrated that the quantification procedure shown here is an accurate and reliable technique for genome-wide non coding gene (i.e., UCRs) profiling using small amounts of RNA. This issue is particularly important because studies of transcription regulation are increasingly conducted in small homogeneous samples, such as laser capture microdissected or sorted cell populations. BioMed Central 2010-03-03 /pmc/articles/PMC2838852/ /pubmed/20199688 http://dx.doi.org/10.1186/1471-2164-11-149 Text en Copyright ©2010 Scaruffi et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methodology Article
Scaruffi, Paola
Stigliani, Sara
Coco, Simona
Valdora, Franscesca
De Vecchi, Carla
Bonassi, Stefano
Tonini, Gian Paolo
Transcribed-ultra conserved region expression profiling from low-input total RNA
title Transcribed-ultra conserved region expression profiling from low-input total RNA
title_full Transcribed-ultra conserved region expression profiling from low-input total RNA
title_fullStr Transcribed-ultra conserved region expression profiling from low-input total RNA
title_full_unstemmed Transcribed-ultra conserved region expression profiling from low-input total RNA
title_short Transcribed-ultra conserved region expression profiling from low-input total RNA
title_sort transcribed-ultra conserved region expression profiling from low-input total rna
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2838852/
https://www.ncbi.nlm.nih.gov/pubmed/20199688
http://dx.doi.org/10.1186/1471-2164-11-149
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