High-resolution analysis of the 5'-end transcriptome using a next generation DNA sequencer
Massively parallel, tag-based sequencing systems, such as the SOLiD system, hold the promise of revolutionizing the study of whole genome gene expression due to the number of data points that can be generated in a simple and cost-effective manner. We describe the development of a 5'-end transcr...
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creator | Hashimoto, Shin-ichi Qu, Wei Ahsan, Budrul Ogoshi, Katsumi Sasaki, Atsushi Nakatani, Yoichiro Lee, Yongjun Ogawa, Masako Ametani, Akio Suzuki, Yutaka Sugano, Sumio Lee, Clarence C Nutter, Robert C Morishita, Shinichi Matsushima, Kouji |
description | Massively parallel, tag-based sequencing systems, such as the SOLiD system, hold the promise of revolutionizing the study of whole genome gene expression due to the number of data points that can be generated in a simple and cost-effective manner. We describe the development of a 5'-end transcriptome workflow for the SOLiD system and demonstrate the advantages in sensitivity and dynamic range offered by this tag-based application over traditional approaches for the study of whole genome gene expression. 5'-end transcriptome analysis was used to study whole genome gene expression within a colon cancer cell line, HT-29, treated with the DNA methyltransferase inhibitor, 5-aza-2'-deoxycytidine (5Aza). More than 20 million 25-base 5'-end tags were obtained from untreated and 5Aza-treated cells and matched to sequences within the human genome. Seventy three percent of the mapped unique tags were associated with RefSeq cDNA sequences, corresponding to approximately 14,000 different protein-coding genes in this single cell type. The level of expression of these genes ranged from 0.02 to 4,704 transcripts per cell. The sensitivity of a single sequence run of the SOLiD platform was 100-1,000 fold greater than that observed from 5'end SAGE data generated from the analysis of 70,000 tags obtained by Sanger sequencing. The high-resolution 5'end gene expression profiling presented in this study will not only provide novel insight into the transcriptional machinery but should also serve as a basis for a better understanding of cell biology. |
doi_str_mv | 10.1371/journal.pone.0004108 |
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We describe the development of a 5'-end transcriptome workflow for the SOLiD system and demonstrate the advantages in sensitivity and dynamic range offered by this tag-based application over traditional approaches for the study of whole genome gene expression. 5'-end transcriptome analysis was used to study whole genome gene expression within a colon cancer cell line, HT-29, treated with the DNA methyltransferase inhibitor, 5-aza-2'-deoxycytidine (5Aza). More than 20 million 25-base 5'-end tags were obtained from untreated and 5Aza-treated cells and matched to sequences within the human genome. Seventy three percent of the mapped unique tags were associated with RefSeq cDNA sequences, corresponding to approximately 14,000 different protein-coding genes in this single cell type. The level of expression of these genes ranged from 0.02 to 4,704 transcripts per cell. The sensitivity of a single sequence run of the SOLiD platform was 100-1,000 fold greater than that observed from 5'end SAGE data generated from the analysis of 70,000 tags obtained by Sanger sequencing. 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This is an open-access article distributed under the terms of the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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The sensitivity of a single sequence run of the SOLiD platform was 100-1,000 fold greater than that observed from 5'end SAGE data generated from the analysis of 70,000 tags obtained by Sanger sequencing. 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recordid | cdi_plos_journals_1289482656 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
subjects | 5' Untranslated Regions - genetics Analysis Automation Biology Caenorhabditis elegans Cancer Cell Cycle - physiology Cell Line, Tumor Cells (Biology) Colon Colon cancer Colorectal cancer Data points Data processing Deoxyribonucleic acid DNA DNA methylation DNA methyltransferase DNA sequencing Epigenetics Exons Gene Expression Gene Expression Profiling - instrumentation Gene Expression Profiling - methods Gene Library Gene sequencing Genes Genetic aspects Genetics and Genomics/Epigenetics Genetics and Genomics/Gene Discovery Genetics and Genomics/Gene Expression Genomes Genomics High resolution Humans Introns Molecular Sequence Data Multiprocessing Nucleotide sequence Oligonucleotide Array Sequence Analysis Oncology/Gastrointestinal Cancers Pathogens Preventive medicine Reproducibility of Results Science Sensitivity Sequence Analysis, DNA - instrumentation Sequence Analysis, DNA - methods Tags Transcription Transcription (Genetics) Workflow |
title | High-resolution analysis of the 5'-end transcriptome using a next generation DNA sequencer |
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