Literature DB >> 18265396

Paired-end diTagging for transcriptome and genome analysis.

Patrick Ng1, Chia-Lin Wei, Yijun Ruan.   

Abstract

The Paired-End diTagging (PET) procedure enables one to obtain sequence information from both termini of any contiguous DNA fragment. This is achieved by a series of enzymatic manipulations that introduce MmeI sites directly flanking each DNA insert during the construction of a plasmid library. Subsequent MmeI digestion and self-ligation results in the production of covalently-linked paired-end ditags (PETs) that can be extracted and then concatenated for efficient sequencing. By mapping the PET sequences to assembled genomes, the original DNA fragments from which the PETs were derived can be precisely localized. This unit details two applications of PET technology. In GIS-PET, ditagging of mRNA converted to full-length cDNA enables whole-transcriptome analysis, including novel gene identification, gene prediction validation, and gene expression studies. In ChIP-PET, ditagging of chromatin immunoprecipitation-enriched genomic DNA fragments enables the global mapping of transcription factor binding sites. A recent innovation (Multiplex Sequencing of Paired-End ditags; MS-PET) enables PETs to be sequenced using high-throughput 454 sequencing, greatly increasing the amount of data that can be collected in each run. (c) 2007 by John Wiley & Sons, Inc.

Mesh:

Year:  2007        PMID: 18265396     DOI: 10.1002/0471142727.mb2112s79

Source DB:  PubMed          Journal:  Curr Protoc Mol Biol        ISSN: 1934-3647


  9 in total

1.  Transcriptome-guided characterization of genomic rearrangements in a breast cancer cell line.

Authors:  Qi Zhao; Otavia L Caballero; Samuel Levy; Brian J Stevenson; Christian Iseli; Sandro J de Souza; Pedro A Galante; Dana Busam; Margaret A Leversha; Kalyani Chadalavada; Yu-Hui Rogers; J Craig Venter; Andrew J G Simpson; Robert L Strausberg
Journal:  Proc Natl Acad Sci U S A       Date:  2009-01-30       Impact factor: 11.205

Review 2.  Next-generation DNA sequencing of paired-end tags (PET) for transcriptome and genome analyses.

Authors:  Melissa J Fullwood; Chia-Lin Wei; Edison T Liu; Yijun Ruan
Journal:  Genome Res       Date:  2009-04       Impact factor: 9.043

Review 3.  Annotating non-coding transcription using functional genomics strategies.

Authors:  Alistair R R Forrest; Rehab F Abdelhamid; Piero Carninci
Journal:  Brief Funct Genomic Proteomic       Date:  2009-11

4.  Large-scale RACE approach for proactive experimental definition of C. elegans ORFeome.

Authors:  Kourosh Salehi-Ashtiani; Chenwei Lin; Tong Hao; Yun Shen; David Szeto; Xinping Yang; Lila Ghamsari; HanJoo Lee; Changyu Fan; Ryan R Murray; Stuart Milstein; Nenad Svrzikapa; Michael E Cusick; Frederick P Roth; David E Hill; Marc Vidal
Journal:  Genome Res       Date:  2009-10-02       Impact factor: 9.043

5.  Detection of DNA fusion junctions for BCR-ABL translocations by Anchored ChromPET.

Authors:  Yoshiyuki Shibata; Ankit Malhotra; Anindya Dutta
Journal:  Genome Med       Date:  2010-09-22       Impact factor: 11.117

6.  Chromatin Interaction Analysis with Paired-End Tag Sequencing (ChIA-PET) for mapping chromatin interactions and understanding transcription regulation.

Authors:  Yufen Goh; Melissa J Fullwood; Huay Mei Poh; Su Qin Peh; Chin Thing Ong; Jingyao Zhang; Xiaoan Ruan; Yijun Ruan
Journal:  J Vis Exp       Date:  2012-04-30       Impact factor: 1.355

Review 7.  High-throughput sequencing for biology and medicine.

Authors:  Wendy Weijia Soon; Manoj Hariharan; Michael P Snyder
Journal:  Mol Syst Biol       Date:  2013       Impact factor: 11.429

8.  Empirical methods for controlling false positives and estimating confidence in ChIP-Seq peaks.

Authors:  David A Nix; Samir J Courdy; Kenneth M Boucher
Journal:  BMC Bioinformatics       Date:  2008-12-05       Impact factor: 3.169

9.  Evaluating genome-wide DNA methylation changes in mice by Methylation Specific Digital Karyotyping.

Authors:  Kathy Boon; John K Tomfohr; Nathaniel W Bailey; Stavros Garantziotis; Zhuowei Li; David M Brass; Shuichiro Maruoka; John W Hollingsworth; David A Schwartz
Journal:  BMC Genomics       Date:  2008-12-11       Impact factor: 3.969

  9 in total

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