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Pair-barcode high-throughput sequencing for large-scale multiplexed sample analysis
BACKGROUND: The multiplexing becomes the major limitation of the next-generation sequencing (NGS) in application to low complexity samples. Physical space segregation allows limited multiplexing, while the existing barcode approach only permits simultaneously analysis of up to several dozen samples....
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3284879/ https://www.ncbi.nlm.nih.gov/pubmed/22276739 http://dx.doi.org/10.1186/1471-2164-13-43 |
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author | Tu, Jing Ge, Qinyu Wang, Shengqin Wang, Lei Sun, Beili Yang, Qi Bai, Yunfei Lu, Zuhong |
author_facet | Tu, Jing Ge, Qinyu Wang, Shengqin Wang, Lei Sun, Beili Yang, Qi Bai, Yunfei Lu, Zuhong |
author_sort | Tu, Jing |
collection | PubMed |
description | BACKGROUND: The multiplexing becomes the major limitation of the next-generation sequencing (NGS) in application to low complexity samples. Physical space segregation allows limited multiplexing, while the existing barcode approach only permits simultaneously analysis of up to several dozen samples. RESULTS: Here we introduce pair-barcode sequencing (PBS), an economic and flexible barcoding technique that permits parallel analysis of large-scale multiplexed samples. In two pilot runs using SOLiD sequencer (Applied Biosystems Inc.), 32 independent pair-barcoded miRNA libraries were simultaneously discovered by the combination of 4 unique forward barcodes and 8 unique reverse barcodes. Over 174,000,000 reads were generated and about 64% of them are assigned to both of the barcodes. After mapping all reads to pre-miRNAs in miRBase, different miRNA expression patterns are captured from the two clinical groups. The strong correlation using different barcode pairs and the high consistency of miRNA expression in two independent runs demonstrates that PBS approach is valid. CONCLUSIONS: By employing PBS approach in NGS, large-scale multiplexed pooled samples could be practically analyzed in parallel so that high-throughput sequencing economically meets the requirements of samples which are low sequencing throughput demand. |
format | Online Article Text |
id | pubmed-3284879 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-32848792012-02-24 Pair-barcode high-throughput sequencing for large-scale multiplexed sample analysis Tu, Jing Ge, Qinyu Wang, Shengqin Wang, Lei Sun, Beili Yang, Qi Bai, Yunfei Lu, Zuhong BMC Genomics Methodology Article BACKGROUND: The multiplexing becomes the major limitation of the next-generation sequencing (NGS) in application to low complexity samples. Physical space segregation allows limited multiplexing, while the existing barcode approach only permits simultaneously analysis of up to several dozen samples. RESULTS: Here we introduce pair-barcode sequencing (PBS), an economic and flexible barcoding technique that permits parallel analysis of large-scale multiplexed samples. In two pilot runs using SOLiD sequencer (Applied Biosystems Inc.), 32 independent pair-barcoded miRNA libraries were simultaneously discovered by the combination of 4 unique forward barcodes and 8 unique reverse barcodes. Over 174,000,000 reads were generated and about 64% of them are assigned to both of the barcodes. After mapping all reads to pre-miRNAs in miRBase, different miRNA expression patterns are captured from the two clinical groups. The strong correlation using different barcode pairs and the high consistency of miRNA expression in two independent runs demonstrates that PBS approach is valid. CONCLUSIONS: By employing PBS approach in NGS, large-scale multiplexed pooled samples could be practically analyzed in parallel so that high-throughput sequencing economically meets the requirements of samples which are low sequencing throughput demand. BioMed Central 2012-01-25 /pmc/articles/PMC3284879/ /pubmed/22276739 http://dx.doi.org/10.1186/1471-2164-13-43 Text en Copyright ©2012 Tu 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 Tu, Jing Ge, Qinyu Wang, Shengqin Wang, Lei Sun, Beili Yang, Qi Bai, Yunfei Lu, Zuhong Pair-barcode high-throughput sequencing for large-scale multiplexed sample analysis |
title | Pair-barcode high-throughput sequencing for large-scale multiplexed sample analysis |
title_full | Pair-barcode high-throughput sequencing for large-scale multiplexed sample analysis |
title_fullStr | Pair-barcode high-throughput sequencing for large-scale multiplexed sample analysis |
title_full_unstemmed | Pair-barcode high-throughput sequencing for large-scale multiplexed sample analysis |
title_short | Pair-barcode high-throughput sequencing for large-scale multiplexed sample analysis |
title_sort | pair-barcode high-throughput sequencing for large-scale multiplexed sample analysis |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3284879/ https://www.ncbi.nlm.nih.gov/pubmed/22276739 http://dx.doi.org/10.1186/1471-2164-13-43 |
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