Human transcriptome array for high-throughput clinical studies
dc.contributor.author | Xu, Weihong | |
dc.contributor.author | Seok, Junhee | |
dc.contributor.author | Mindrinos, Michael N. | |
dc.contributor.author | Schweitzer, Anthony C. | |
dc.contributor.author | Jiang, Hui | |
dc.contributor.author | Wilhelmy, Julie | |
dc.contributor.author | Clark, Tyson A. | |
dc.contributor.author | Kapur, Karen | |
dc.contributor.author | Xing, Yi | |
dc.contributor.author | Faham, Malek | |
dc.contributor.author | Storey, John D. | |
dc.contributor.author | Moldawer, Lyle L. | |
dc.contributor.author | Maier, Ronald V. | |
dc.contributor.author | Tompkins, Ronald G. | |
dc.contributor.author | Wong, Wing Hung | |
dc.contributor.author | Davis, Ronald W. | |
dc.contributor.author | Xiao, Wenzhong | |
dc.contributor.author | Inflammation and Host Response to Injury Large-Scale Collaborative Research Program | |
dc.date.accessioned | 2011-10-13T15:17:38Z | |
dc.date.available | 2011-10-13T15:17:38Z | |
dc.date.issued | 2011-03 | |
dc.date.submitted | 2010-11 | |
dc.identifier.issn | 1091-6490 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/66239 | |
dc.description.abstract | A 6.9 million-feature oligonucleotide array of the human transcriptome [Glue Grant human transcriptome (GG-H array)] has been developed for high-throughput and cost-effective analyses in clinical studies. This array allows comprehensive examination of gene expression and genome-wide identification of alternative splicing as well as detection of coding SNPs and noncoding transcripts. The performance of the array was examined and compared with mRNA sequencing (RNA-Seq) results over multiple independent replicates of liver and muscle samples. Compared with RNA-Seq of 46 million uniquely mappable reads per replicate, the GG-H array is highly reproducible in estimating gene and exon abundance. Although both platforms detect similar expression changes at the gene level, the GG-H array is more sensitive at the exon level. Deeper sequencing is required to adequately cover low-abundance transcripts. The array has been implemented in a multicenter clinical program and has generated high-quality, reproducible data. Considering the clinical trial requirements of cost, sample availability, and throughput, the GG-H array has a wide range of applications. An emerging approach for large-scale clinical genomic studies is to first use RNA-Seq to the sufficient depth for the discovery of transcriptome elements relevant to the disease process followed by high-throughput and reliable screening of these elements on thousands of patient samples using custom-designed arrays. | en_US |
dc.description.sponsorship | National Institutes of Health (U.S.) (grant U54GM062119) | en_US |
dc.description.sponsorship | National Institutes of Health (U.S.) (grant P01HG000205) | en_US |
dc.description.sponsorship | National Institutes of Health (U.S.) (grant R01HG004634) | en_US |
dc.language.iso | en_US | |
dc.publisher | National Academy of Sciences (U.S.) | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1073/pnas.1019753108 | en_US |
dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en_US |
dc.source | PNAS | en_US |
dc.title | Human transcriptome array for high-throughput clinical studies | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Xu, W. et al. “Human transcriptome array for high-throughput clinical studies.” Proceedings of the National Academy of Sciences 108 (2011): 3707-3712. ©2011 by the National Academy of Sciences. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Clinical Research Center | en_US |
dc.contributor.approver | Tompkins, Ronald G. | |
dc.contributor.mitauthor | Tompkins, Ronald G. | |
dc.relation.journal | Proceedings of the National Academy of Sciences of the United States of America | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dspace.orderedauthors | Xu, W.; Seok, J.; Mindrinos, M. N.; Schweitzer, A. C.; Jiang, H.; Wilhelmy, J.; Clark, T. A.; Kapur, K.; Xing, Y.; Faham, M.; Storey, J. D.; Moldawer, L. L.; Maier, R. V.; Tompkins, R. G.; Wong, W. H.; Davis, R. W.; Xiao, W.; Toner, M.; Warren, S.; Schoenfeld, D. A.; Rahme, L. G.; McDonald-Smith, G. P.; Hayden, D. L.; Mason, P. H.; Fagan, S.; Yu, Y.-M.; Cobb, J. P.; Remick, D. G.; Mannick, J. A.; Lederer, J. A.; Gamelli, R. L.; Silver, G. M.; West, M. A.; Shapiro, M. B.; Smith, R. D.; Camp, D. G.; Qian, W.; Tibshirani, R.; Lowry, S. F.; Calvano, S. E.; Chaudry, I.; Cohen, M.; Moore, E. E.; Johnson, J. L.; Baker, H. V.; Efron, P. A.; Balis, U. G. J.; Billiar, T. R.; Ochoa, J. B.; Sperry, J.; Miller-Graziano, C. L.; De, A. K.; Bankey, P. E.; Herndon, D. N.; Finnerty, C. C.; Jeschke, M. G.; Minei, J. P.; Arnoldo, B. D.; Hunt, J. L.; Horton, J.; Brownstein, B. H.; Freeman, B.; Nathens, A. B.; Cuschieri, J.; Gibran, N.; Klein, M.; O'Keefe, G.; Altstein, L.; Gao, H.; Harbrecht, B. G.; Hennessy, L.; Honari, S. E.; McKinley, B. A.; Moore, F. A.; Wispelwey, B. | en |
mit.license | PUBLISHER_POLICY | en_US |
mit.metadata.status | Complete |