Literature DB >> 15868420

Applications of DNA tiling arrays to experimental genome annotation and regulatory pathway discovery.

Paul Bertone1, Mark Gerstein, Michael Snyder.   

Abstract

Microarrays have become a popular and important technology for surveying global patterns in gene expression and regulation. A number of innovative experiments have extended microarray applications beyond the measurement of mRNA expression levels, in order to uncover aspects of large-scale chromosome function and dynamics. This has been made possible due to the recent development of tiling arrays, where all non-repetitive DNA comprising a chromosome or locus is represented at various sequence resolutions. Since tiling arrays are designed to contain the entire DNA sequence without prior consultation of existing gene annotation, they enable the discovery of novel transcribed sequences and regulatory elements through the unbiased interrogation of genomic loci. The implementation of such methods for the global analysis of large eukaryotic genomes presents significant technical challenges. Nonetheless, tiling arrays are expected to become instrumental for the genome-wide identification and characterization of functional elements. Combined with computational methods to relate these data and map the complex interactions of transcriptional regulators, tiling array experiments can provide insight toward a more comprehensive understanding of fundamental molecular and cellular processes.

Mesh:

Substances:

Year:  2005        PMID: 15868420     DOI: 10.1007/s10577-005-2165-0

Source DB:  PubMed          Journal:  Chromosome Res        ISSN: 0967-3849            Impact factor:   5.239


  28 in total

1.  Revealing the transcriptome landscape of mouse spermatogonial cells by tiling microarray.

Authors:  Tin-Lap Lee; Owen M Rennert; Wai-Yee Chan
Journal:  Methods Mol Biol       Date:  2012

Review 2.  Next-generation sequencing techniques for eukaryotic microorganisms: sequencing-based solutions to biological problems.

Authors:  Minou Nowrousian
Journal:  Eukaryot Cell       Date:  2010-07-02

3.  Design optimization methods for genomic DNA tiling arrays.

Authors:  Paul Bertone; Valery Trifonov; Joel S Rozowsky; Falk Schubert; Olof Emanuelsson; John Karro; Ming-Yang Kao; Michael Snyder; Mark Gerstein
Journal:  Genome Res       Date:  2005-12-19       Impact factor: 9.043

4.  RNA-based affinity purification reveals 7SK RNPs with distinct composition and regulation.

Authors:  J Robert Hogg; Kathleen Collins
Journal:  RNA       Date:  2007-04-24       Impact factor: 4.942

Review 5.  The expanding transcriptome: the genome as the 'Book of Sand'.

Authors:  Luis M Mendes Soares; Juan Valcárcel
Journal:  EMBO J       Date:  2006-03-02       Impact factor: 11.598

Review 6.  The incredible shrinking world of DNA microarrays.

Authors:  Sarah J Wheelan; Francisco Martínez Murillo; Jef D Boeke
Journal:  Mol Biosyst       Date:  2008-04-17

7.  A 3,000-loci transcription map of chromosome 3B unravels the structural and functional features of gene islands in hexaploid wheat.

Authors:  Camille Rustenholz; Frédéric Choulet; Christel Laugier; Jan Safár; Hana Simková; Jaroslav Dolezel; Federica Magni; Simone Scalabrin; Federica Cattonaro; Sonia Vautrin; Arnaud Bellec; Hélène Bergès; Catherine Feuillet; Etienne Paux
Journal:  Plant Physiol       Date:  2011-10-27       Impact factor: 8.340

8.  Long noncoding RNA genes: conservation of sequence and brain expression among diverse amniotes.

Authors:  Rebecca A Chodroff; Leo Goodstadt; Tamara M Sirey; Peter L Oliver; Kay E Davies; Eric D Green; Zoltán Molnár; Chris P Ponting
Journal:  Genome Biol       Date:  2010-07-12       Impact factor: 13.583

9.  Custom design and analysis of high-density oligonucleotide bacterial tiling microarrays.

Authors:  Gard O S Thomassen; Alexander D Rowe; Karin Lagesen; Jessica M Lindvall; Torbjørn Rognes
Journal:  PLoS One       Date:  2009-06-17       Impact factor: 3.240

Review 10.  RNA-seq: from technology to biology.

Authors:  Samuel Marguerat; Jürg Bähler
Journal:  Cell Mol Life Sci       Date:  2009-10-27       Impact factor: 9.261

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