Literature DB >> 16547597

An atlas of gene expression from seed to seed through barley development.

Arnis Druka1, Gary Muehlbauer, Ilze Druka, Rico Caldo, Ute Baumann, Nils Rostoks, Andreas Schreiber, Roger Wise, Timothy Close, Andris Kleinhofs, Andreas Graner, Alan Schulman, Peter Langridge, Kazuhiro Sato, Patrick Hayes, Jim McNicol, David Marshall, Robbie Waugh.   

Abstract

Assaying relative and absolute levels of gene expression in a diverse series of tissues is a central step in the process of characterizing gene function and a necessary component of almost all publications describing individual genes or gene family members. However, throughout the literature, such studies lack consistency in genotype, tissues analyzed, and growth conditions applied, and, as a result, the body of information that is currently assembled is fragmented and difficult to compare between different studies. The development of a comprehensive platform for assaying gene expression that is available to the entire research community provides a major opportunity to assess whole biological systems in a single experiment. It also integrates detailed knowledge and information on individual genes into a unified framework that provides both context and resource to explore their contributions in a broader biological system. We have established a data set that describes the expression of 21,439 barley genes in 15 tissues sampled throughout the development of the barley cv. Morex grown under highly controlled conditions. Rather than attempting to address a specific biological question, our experiment was designed to provide a reference gene expression data set for barley researchers; a gene expression atlas and a comparative data set for those investigating genes or regulatory networks in other plant species. In this paper we describe the tissues sampled and their transcriptomes, and provide summary information on genes that are either specifically expressed in certain tissues or show correlated expression patterns across all 15 tissue samples. Using specific examples and an online tutorial, we describe how the data set can be interrogated for patterns and levels of barley gene expression and how the resulting information can be used to generate and/or test specific biological hypotheses.

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Year:  2006        PMID: 16547597     DOI: 10.1007/s10142-006-0025-4

Source DB:  PubMed          Journal:  Funct Integr Genomics        ISSN: 1438-793X            Impact factor:   3.674


  45 in total

1.  Orchestrated transcription of key pathways in Arabidopsis by the circadian clock.

Authors:  S L Harmer; J B Hogenesch; M Straume; H S Chang; B Han; T Zhu; X Wang; J A Kreps; S A Kay
Journal:  Science       Date:  2000-12-15       Impact factor: 47.728

2.  Cloning, mapping and expression analysis of barley MADS-box genes.

Authors:  J Schmitz; R Franzen; T H Ngyuen; F Garcia-Maroto; C Pozzi; F Salamini; W Rohde
Journal:  Plant Mol Biol       Date:  2000-04       Impact factor: 4.076

3.  Minimum information about a microarray experiment (MIAME)-toward standards for microarray data.

Authors:  A Brazma; P Hingamp; J Quackenbush; G Sherlock; P Spellman; C Stoeckert; J Aach; W Ansorge; C A Ball; H C Causton; T Gaasterland; P Glenisson; F C Holstege; I F Kim; V Markowitz; J C Matese; H Parkinson; A Robinson; U Sarkans; S Schulze-Kremer; J Stewart; R Taylor; J Vilo; M Vingron
Journal:  Nat Genet       Date:  2001-12       Impact factor: 38.330

4.  Transcriptional profiling reveals novel interactions between wounding, pathogen, abiotic stress, and hormonal responses in Arabidopsis.

Authors:  Yong Hwa Cheong; Hur-Song Chang; Rajeev Gupta; Xun Wang; Tong Zhu; Sheng Luan
Journal:  Plant Physiol       Date:  2002-06       Impact factor: 8.340

5.  The classical Ubisch bodies carry a sporophytically produced structural protein (RAFTIN) that is essential for pollen development.

Authors:  Aiming Wang; Qun Xia; Wenshuang Xie; Raju Datla; Gopalan Selvaraj
Journal:  Proc Natl Acad Sci U S A       Date:  2003-11-11       Impact factor: 11.205

6.  SHATTERPROOF MADS-box genes control seed dispersal in Arabidopsis.

Authors:  S J Liljegren; G S Ditta; Y Eshed; B Savidge; J L Bowman; M F Yanofsky
Journal:  Nature       Date:  2000-04-13       Impact factor: 49.962

7.  Genome-wide identification and testing of superior reference genes for transcript normalization in Arabidopsis.

Authors:  Tomasz Czechowski; Mark Stitt; Thomas Altmann; Michael K Udvardi; Wolf-Rüdiger Scheible
Journal:  Plant Physiol       Date:  2005-09       Impact factor: 8.340

8.  A new resource for cereal genomics: 22K barley GeneChip comes of age.

Authors:  Timothy J Close; Steve I Wanamaker; Rico A Caldo; Stacy M Turner; Daniel A Ashlock; Julie A Dickerson; Rod A Wing; Gary J Muehlbauer; Andris Kleinhofs; Roger P Wise
Journal:  Plant Physiol       Date:  2004-03       Impact factor: 8.340

9.  BarleyBase--an expression profiling database for plant genomics.

Authors:  Lishuang Shen; Jian Gong; Rico A Caldo; Dan Nettleton; Dianne Cook; Roger P Wise; Julie A Dickerson
Journal:  Nucleic Acids Res       Date:  2005-01-01       Impact factor: 16.971

10.  Gene-expression profile comparisons distinguish seven organs of maize.

Authors:  Yangrae Cho; John Fernandes; Soo-Hwan Kim; Virginia Walbot
Journal:  Genome Biol       Date:  2002-08-29       Impact factor: 13.583

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  69 in total

1.  A combined strategy of "in silico" transcriptome analysis and web search engine optimization allows an agile identification of reference genes suitable for normalization in gene expression studies.

Authors:  Primetta Faccioli; Gian Paolo Ciceri; Paolo Provero; Antonio Michele Stanca; Caterina Morcia; Valeria Terzi
Journal:  Plant Mol Biol       Date:  2006-12-02       Impact factor: 4.076

2.  SFP genotyping from affymetrix arrays is robust but largely detects cis-acting expression regulators.

Authors:  Z W Luo; E Potokina; A Druka; R Wise; R Waugh; M J Kearsey
Journal:  Genetics       Date:  2007-04-03       Impact factor: 4.562

3.  The international barley sequencing consortium--at the threshold of efficient access to the barley genome.

Authors:  Daniela Schulte; Timothy J Close; Andreas Graner; Peter Langridge; Takashi Matsumoto; Gary Muehlbauer; Kazuhiro Sato; Alan H Schulman; Robbie Waugh; Roger P Wise; Nils Stein
Journal:  Plant Physiol       Date:  2009-01       Impact factor: 8.340

4.  A developmental transcriptional network for maize defines coexpression modules.

Authors:  Gregory S Downs; Yong-Mei Bi; Joseph Colasanti; Wenqing Wu; Xi Chen; Tong Zhu; Steven J Rothstein; Lewis N Lukens
Journal:  Plant Physiol       Date:  2013-02-06       Impact factor: 8.340

5.  A set of modular binary vectors for transformation of cereals.

Authors:  Axel Himmelbach; Uwe Zierold; Götz Hensel; Jan Riechen; Dimitar Douchkov; Patrick Schweizer; Jochen Kumlehn
Journal:  Plant Physiol       Date:  2007-11-02       Impact factor: 8.340

6.  Increased abundance of proteins involved in phytosiderophore production in boron-tolerant barley.

Authors:  John Patterson; Kris Ford; Andrew Cassin; Siria Natera; Antony Bacic
Journal:  Plant Physiol       Date:  2007-05-03       Impact factor: 8.340

7.  Barley grain maturation and germination: metabolic pathway and regulatory network commonalities and differences highlighted by new MapMan/PageMan profiling tools.

Authors:  Nese Sreenivasulu; Björn Usadel; Andreas Winter; Volodymyr Radchuk; Uwe Scholz; Nils Stein; Winfriede Weschke; Marc Strickert; Timothy J Close; Mark Stitt; Andreas Graner; Ulrich Wobus
Journal:  Plant Physiol       Date:  2008-02-15       Impact factor: 8.340

8.  Development of 5006 full-length CDNAs in barley: a tool for accessing cereal genomics resources.

Authors:  Kazuhiro Sato; Tadasu Shin-I; Motoaki Seki; Kazuo Shinozaki; Hideya Yoshida; Kazuyoshi Takeda; Yukiko Yamazaki; Matthieu Conte; Yuji Kohara
Journal:  DNA Res       Date:  2009-01-15       Impact factor: 4.458

9.  Linkage mapping of putative regulator genes of barley grain development characterized by expression profiling.

Authors:  Christof Pietsch; Nese Sreenivasulu; Ulrich Wobus; Marion S Röder
Journal:  BMC Plant Biol       Date:  2009-01-09       Impact factor: 4.215

10.  Comparative transcriptomics in the Triticeae.

Authors:  Andreas W Schreiber; Tim Sutton; Rico A Caldo; Elena Kalashyan; Ben Lovell; Gwenda Mayo; Gary J Muehlbauer; Arnis Druka; Robbie Waugh; Roger P Wise; Peter Langridge; Ute Baumann
Journal:  BMC Genomics       Date:  2009-06-29       Impact factor: 3.969

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