DNA Sudoku - Harnessing high-throughput sequencing for multiplexed specimen analysis

Erlich, Y., Chang, K., Gordon, A., Ronen, R., Navon, O., Rooks, M., Hannon, G. J. (2009) DNA Sudoku - Harnessing high-throughput sequencing for multiplexed specimen analysis. Genome Research, 19 (7). pp. 1243-1253. ISSN 10889051 (ISSN)

[img] PDF (Paper)
Hannon Gen Res 2009.pdf - Published Version
Restricted to Repository staff only

Download (1200Kb)
URL: http://www.ncbi.nlm.nih.gov/pubmed/19447965
DOI: 10.1101/gr.092957.109

Abstract

Next-generation sequencers have sufficient power to analyze simultaneously DNAs from many different specimens, a practice known as multiplexing. Such schemes rely on the ability to associate each sequence read with the specimen from which it was derived. The current practice of appending molecular barcodes prior to pooling is practical for parallel analysis of up to many dozen samples. Here, we report a strategy that permits simultaneous analysis of tens of thousands of specimens. Our approach relies on the use of combinatorial pooling strategies in which pools rather than individual specimens are assigned barcodes. Thus, the identity of each specimen is encoded within the pooling pattern rather than by its association with a particular sequence tag. Decoding the pattern allows the sequence of an original specimen to be inferred with high confidence. We verified the ability of our encoding and decoding strategies to accurately report the sequence of individual samples within a large number of mixed specimens in two ways. First, we simulated data both from a clone library and from a human population in which a sequence variant associated with cystic fibrosis was present. Second, we actually pooled, sequenced, and decoded identities within two sets of 40,000 bacterial clones comprising approximately 20,000 different artificial microRNAs targeting Arabidopsis or human genes. We achieved greater than 97% accuracy in these trials. The strategies reported here can be applied to a wide variety of biological problems, including the determination of genotypic variation within large populations of individuals. © 2009 by Cold Spring Harbor Laboratory Press.

Item Type: Paper
Uncontrolled Keywords: microRNA accuracy Arabidopsis article conceptual framework controlled study cystic fibrosis DNA barcoding DNA determination DNA sequence gene library gene pool genetic variability high throughput screening human genome mathematical analysis molecular cloning nucleotide sequence population genetics priority journal sequence tagged site simulation Computer Simulation Cystic Fibrosis Transmembrane Conductance Regulator DNA, Complementary Escherichia coli Expressed Sequence Tags Gene Expression Profiling Humans Mutation Oligonucleotide Array Sequence Analysis Polymerase Chain Reaction RNA, Small Interfering Sequence Analysis, DNA Species Specificity Bacteria (microorganisms)
Subjects: bioinformatics > genomics and proteomics > analysis and processing
bioinformatics
bioinformatics > genomics and proteomics
bioinformatics > genomics and proteomics > annotation > sequence annotation
CSHL Authors:
Communities: CSHL labs > Hannon lab
Watson School > Publications
Depositing User: Matt Covey
Date Deposited: 09 Jan 2013 16:43
Last Modified: 22 Sep 2014 18:28
PMCID: PMC2704425
Related URLs:
URI: http://repository.cshl.edu/id/eprint/26439

Actions (login required)

Administrator's edit/view item Administrator's edit/view item
CSHL HomeAbout CSHLResearchEducationNews & FeaturesCampus & Public EventsCareersGiving