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Proceedings of the National Academy of Sciences, Vol. 106, No. 35. (1 September 2009), pp. 14926-14931.
Abstract
10.1073/pnas.0905443106 Disruptions in local chromatin structure often indicate features of biological interest such as regulatory regions. We find that sonication of cross-linked chromatin, when combined with a size-selection step and massively parallel short-read sequencing, can be used as a method (Sono-Seq) to map locations of high chromatin accessibility in promoter regions. Sono-Seq sites frequently correspond to actively transcribed promoter regions, as evidenced by their co-association with RNA Polymerase II ChIP regions, transcription start sites, histone H3 lysine 4 trimethylation (H3K4me3) marks, ...
Note (first note only)
Conclusion that input control may be biased towards promoter regions enhancers (which are nucleosome free). IgG (preimmune) control might be better?
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Nature Biotechnology, Vol. 27, No. 1. (04 January 2009), pp. 66-75.
Abstract
Chromatin immunoprecipitation (ChIP) followed by tag sequencing (ChIP-seq) using high-throughput next-generation instrumentation is fast, replacing chromatin immunoprecipitation followed by genome tiling array analysis (ChIP-chip) as the preferred approach for mapping of sites of transcription-factor binding and chromatin modification. Using two deeply sequenced data sets for human RNA polymerase II and STAT1, each with matching input-DNA controls, we describe a general scoring approach to address unique challenges in ChIP-seq data analysis. Our approach is based on the observation that sites of potential ...
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Nature Reviews Genetics, Vol. 10, No. 1. (01 January 2009), pp. 57-63.
Abstract
RNA-Seq is a recently developed approach to transcriptome profiling that uses deep-sequencing technologies. Studies using this method have already altered our view of the extent and complexity of eukaryotic transcriptomes. RNA-Seq also provides a far more precise measurement of levels of transcripts and their isoforms than other methods. This article describes the RNA-Seq approach, the challenges associated with its application, and the advances made so far in characterizing several eukaryote transcriptomes. ...
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Genome Res., Vol. 17, No. 6. (1 June 2007), pp. 898-909.
by Ghia M. Euskirchen, Joel S. Rozowsky, Chia-Lin Wei, et al.Wah H. Lee, Zhengdong D. Zhang, Stephen Hartman, Olof Emanuelsson, Viktor Stolc, Sherman Weissman, Mark B. Gerstein, Yijun Ruan, Michael Snyder
Abstract
Recent progress in mapping transcription factor (TF) binding regions can largely be credited to chromatin immunoprecipitation (ChIP) technologies. We compared strategies for mapping TF binding regions in mammalian cells using two different ChIP schemes: ChIP with DNA microarray analysis (ChIP-chip) and ChIP with DNA sequencing (ChIP-PET). We first investigated parameters central to obtaining robust ChIP-chip data sets by analyzing STAT1 targets in the ENCODE regions of the human genome, and then compared ChIP-chip to ChIP-PET. We devised methods for scoring and ...
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Genome Research, Vol. 18, No. 3. (7 March 2008), pp. 393-403.
by David S. Johnson, Wei Li, D. Benjamin Gordon, et al.Arindam Bhattacharjee, Bo Curry, Jayati Ghosh, Leonardo Brizuela, Jason S. Carroll, Myles Brown, Paul Flicek, Christoph M. Koch, Ian Dunham, Mark Bieda, Xiaoqin Xu, Peggy J. Farnham, Philipp Kapranov, David A. Nix, Thomas R. Gingeras, Xinmin Zhang, Heather Holster, Nan Jiang, Roland D. Green, Jun S. Song, Scott A. McCuine, Elizabeth Anton, Loan Nguyen, Nathan D. Trinklein, Zhen Ye, Keith Ching, David Hawkins, Bing Ren, Peter C. Scacheri, Joel Rozowsky, Alexander Karpikov, Ghia Euskirchen, Sherman Weissman, Mark Gerstein, Michael Snyder, Annie Yang, Zarmik Moqtaderi, Heather Hirsch, Hennady P. Shulha, Yutao Fu, Zhiping Weng, Kevin Struhl, Richard M. Myers, Jason D. Lieb, X. Shirley Liu
Abstract
10.1101/gr.7080508 The most widely used method for detecting genome-wide protein–DNA interactions is chromatin immunoprecipitation on tiling microarrays, commonly known as ChIP-chip. Here, we conducted the first objective analysis of tiling array platforms, amplification procedures, and signal detection algorithms in a simulated ChIP-chip experiment. Mixtures of human genomic DNA and “spike-ins” comprised of nearly 100 human sequences at various concentrations were hybridized to four tiling array platforms by eight independent groups. Blind to the number of spike-ins, their locations, and the range ...
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