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Feasibility of Whole RNA Sequencing from Single-Cell mRNA Amplification

Single-cell sampling with RNA-seq analysis plays an important role in reference laboratory; cytogenomic diagnosis for specimens on glass-slides or rare cells in circulating blood for tumor and genetic diseases; measurement of sensitivity and specificity in tumor-tissue genomic analysis with mixed-ce...

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Autores principales: Xu, Yunbo, Hu, Hongliang, Zheng, Jie, Li, Biaoru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3885331/
https://www.ncbi.nlm.nih.gov/pubmed/24455282
http://dx.doi.org/10.1155/2013/724124
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author Xu, Yunbo
Hu, Hongliang
Zheng, Jie
Li, Biaoru
author_facet Xu, Yunbo
Hu, Hongliang
Zheng, Jie
Li, Biaoru
author_sort Xu, Yunbo
collection PubMed
description Single-cell sampling with RNA-seq analysis plays an important role in reference laboratory; cytogenomic diagnosis for specimens on glass-slides or rare cells in circulating blood for tumor and genetic diseases; measurement of sensitivity and specificity in tumor-tissue genomic analysis with mixed-cells; mechanism analysis of differentiation and proliferation of cancer stem cell for academic purpose. Our single- cell RNA-seq technique shows that fragments were 250–450 bp after fragmentation, amplification, and adapter addition. There were 11.6 million reads mapped in raw sequencing reads (19.6 million). The numbers of mapped genes, mapped transcripts, and mapped exons were 31,332, 41,210, and 85,786, respectively. All QC results demonstrated that RNA-seq techniques could be used for single-cell genomic performance. Analysis of the mapped genes showed that the number of genes mapped by RNA-seq (6767 genes) was much higher than that of differential display (288 libraries) among similar specimens which we have developed and published. The single-cell RNA-seq can detect gene splicing using different subtype TGF-beta analysis. The results from using Q-rtPCR tests demonstrated that sensitivity is 76% and specificity is 55% from single-cell RNA-seq technique with some gene expression missing (2/8 genes). However, it will be feasible to use RNA-seq techniques to contribute to genomic medicine at single-cell level.
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spelling pubmed-38853312014-01-21 Feasibility of Whole RNA Sequencing from Single-Cell mRNA Amplification Xu, Yunbo Hu, Hongliang Zheng, Jie Li, Biaoru Genet Res Int Research Article Single-cell sampling with RNA-seq analysis plays an important role in reference laboratory; cytogenomic diagnosis for specimens on glass-slides or rare cells in circulating blood for tumor and genetic diseases; measurement of sensitivity and specificity in tumor-tissue genomic analysis with mixed-cells; mechanism analysis of differentiation and proliferation of cancer stem cell for academic purpose. Our single- cell RNA-seq technique shows that fragments were 250–450 bp after fragmentation, amplification, and adapter addition. There were 11.6 million reads mapped in raw sequencing reads (19.6 million). The numbers of mapped genes, mapped transcripts, and mapped exons were 31,332, 41,210, and 85,786, respectively. All QC results demonstrated that RNA-seq techniques could be used for single-cell genomic performance. Analysis of the mapped genes showed that the number of genes mapped by RNA-seq (6767 genes) was much higher than that of differential display (288 libraries) among similar specimens which we have developed and published. The single-cell RNA-seq can detect gene splicing using different subtype TGF-beta analysis. The results from using Q-rtPCR tests demonstrated that sensitivity is 76% and specificity is 55% from single-cell RNA-seq technique with some gene expression missing (2/8 genes). However, it will be feasible to use RNA-seq techniques to contribute to genomic medicine at single-cell level. Hindawi Publishing Corporation 2013 2013-12-23 /pmc/articles/PMC3885331/ /pubmed/24455282 http://dx.doi.org/10.1155/2013/724124 Text en Copyright © 2013 Yunbo Xu et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Xu, Yunbo
Hu, Hongliang
Zheng, Jie
Li, Biaoru
Feasibility of Whole RNA Sequencing from Single-Cell mRNA Amplification
title Feasibility of Whole RNA Sequencing from Single-Cell mRNA Amplification
title_full Feasibility of Whole RNA Sequencing from Single-Cell mRNA Amplification
title_fullStr Feasibility of Whole RNA Sequencing from Single-Cell mRNA Amplification
title_full_unstemmed Feasibility of Whole RNA Sequencing from Single-Cell mRNA Amplification
title_short Feasibility of Whole RNA Sequencing from Single-Cell mRNA Amplification
title_sort feasibility of whole rna sequencing from single-cell mrna amplification
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3885331/
https://www.ncbi.nlm.nih.gov/pubmed/24455282
http://dx.doi.org/10.1155/2013/724124
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