Literature DB >> 15714318

A comparative analysis of transcript abundance using SAGE and Affymetrix arrays.

Adel F M Ibrahim1, Peter E Hedley, Linda Cardle, Warren Kruger, David F Marshall, Gary J Muehlbauer, Robbie Waugh.   

Abstract

A number of methods are currently used for gene expression profiling. They differ in scale, economy and sensitivity. We present the results of a direct comparison between serial analysis of gene expression (SAGE) and the Barley1 Affymetrix GeneChip. Both technology platforms were used to obtain quantitative measurements of transcript abundance using identical RNA samples and assessed for their ability to quantify differential gene expression. For SAGE, a total of 82,122 tags were generated from two independent libraries representing whole developing barley caryopsis and dissected embryos. The Barley1 GeneChip contains 22,791 probe sets. Results obtained from both methods are generally comparable, indicating that both will lead to similar conclusions regarding transcript levels and differential gene expression. However, excluding singletons, 24.4% of the unique SAGE tags had no corresponding probe set on the Barley1 array indicating that a broader snapshot of gene expression was obtained by SAGE. Discrepancies were observed for a number of "genes" and these are discussed.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15714318     DOI: 10.1007/s10142-005-0135-4

Source DB:  PubMed          Journal:  Funct Integr Genomics        ISSN: 1438-793X            Impact factor:   3.410


  53 in total

1.  High-throughput GLGI procedure for converting a large number of serial analysis of gene expression tag sequences into 3' complementary DNAs.

Authors:  Jianjun Chen; Sanggyu Lee; Guolin Zhou; San Ming Wang
Journal:  Genes Chromosomes Cancer       Date:  2002-03       Impact factor: 5.006

2.  A genomic view of alternative splicing.

Authors:  Barmak Modrek; Christopher Lee
Journal:  Nat Genet       Date:  2002-01       Impact factor: 38.330

Review 3.  Evaluation of Affymetrix Gene Chip sensitivity in rat hippocampal tissue using SAGE analysis. Serial Analysis of Gene Expression.

Authors:  Simon J Evans; Nicole A Datson; Mohamed Kabbaj; Robert C Thompson; Erno Vreugdenhil; E Ronald De Kloet; Stanley J Watson; Huda Akil
Journal:  Eur J Neurosci       Date:  2002-08       Impact factor: 3.386

4.  Primary structure of a novel barley gene differentially expressed in immature aleurone layers.

Authors:  S S Klemsdal; W Hughes; A Lönneborg; R B Aalen; O A Olsen
Journal:  Mol Gen Genet       Date:  1991-08

5.  Oil bodies and their associated proteins, oleosin and caleosin.

Authors:  Gitte I. Frandsen; John Mundy; Jason T. C. Tzen
Journal:  Physiol Plant       Date:  2001-07       Impact factor: 4.500

6.  Quantitative monitoring of gene expression patterns with a complementary DNA microarray.

Authors:  M Schena; D Shalon; R W Davis; P O Brown
Journal:  Science       Date:  1995-10-20       Impact factor: 47.728

7.  Isolation of cDNA clones encoding T cell-specific membrane-associated proteins.

Authors:  S M Hedrick; D I Cohen; E A Nielsen; M M Davis
Journal:  Nature       Date:  1984 Mar 8-14       Impact factor: 49.962

8.  Using the transcriptome to annotate the genome.

Authors:  Saurabh Saha; Andrew B Sparks; Carlo Rago; Viatcheslav Akmaev; Clarence J Wang; Bert Vogelstein; Kenneth W Kinzler; Victor E Velculescu
Journal:  Nat Biotechnol       Date:  2002-05       Impact factor: 54.908

9.  Heterogeneity in polyadenylation cleavage sites in mammalian mRNA sequences: implications for SAGE analysis.

Authors:  E Pauws; A H van Kampen; S A van de Graaf; J J de Vijlder; C Ris-Stalpers
Journal:  Nucleic Acids Res       Date:  2001-04-15       Impact factor: 16.971

10.  Development and evaluation of an Arabidopsis whole genome Affymetrix probe array.

Authors:  Julia C Redman; Brian J Haas; Gene Tanimoto; Christopher D Town
Journal:  Plant J       Date:  2004-05       Impact factor: 6.417

View more
  15 in total

Review 1.  Associating phenotypes with molecular events: recent statistical advances and challenges underpinning microarray experiments.

Authors:  Yulan Liang; Arpad Kelemen
Journal:  Funct Integr Genomics       Date:  2005-11-15       Impact factor: 3.410

2.  Identification of candidate maternal-effect genes through comparison of multiple microarray data sets.

Authors:  Jesse Mager; Richard M Schultz; Brian P Brunk; Marisa S Bartolomei
Journal:  Mamm Genome       Date:  2006-09-08       Impact factor: 2.957

3.  Expression analysis of barley (Hordeum vulgare L.) during salinity stress.

Authors:  Harkamal Walia; Clyde Wilson; Abdul Wahid; Pascal Condamine; Xinping Cui; Timothy J Close
Journal:  Funct Integr Genomics       Date:  2006-02-01       Impact factor: 3.410

4.  Deep SAGE analysis of the Caenorhabditis elegans transcriptome.

Authors:  Peter Ruzanov; Donald L Riddle
Journal:  Nucleic Acids Res       Date:  2010-02-03       Impact factor: 16.971

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

Authors:  Arnis Druka; 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
Journal:  Funct Integr Genomics       Date:  2006-03-18       Impact factor: 3.674

6.  In-depth global analysis of transcript abundance levels in porcine alveolar macrophages following infection with porcine reproductive and respiratory syndrome virus.

Authors:  Laura C Miller; John D Neill; Gregory P Harhay; Kelly M Lager; William W Laegreid; Marcus E Kehrli
Journal:  Adv Virol       Date:  2011-01-12

7.  Transcriptomic and proteomic profiling of two porcine tissues using high-throughput technologies.

Authors:  Henrik Hornshøj; Emøke Bendixen; Lene N Conley; Pernille K Andersen; Jakob Hedegaard; Frank Panitz; Christian Bendixen
Journal:  BMC Genomics       Date:  2009-01-19       Impact factor: 3.969

8.  Gene expression profiling via LongSAGE in a non-model plant species: a case study in seeds of Brassica napus.

Authors:  Christian Obermeier; Bashir Hosseini; Wolfgang Friedt; Rod Snowdon
Journal:  BMC Genomics       Date:  2009-07-03       Impact factor: 3.969

9.  Measuring global gene expression in polyploidy; a cautionary note from allohexaploid wheat.

Authors:  Rebecca Poole; Gary Barker; Ian D Wilson; Jane A Coghill; Keith J Edwards
Journal:  Funct Integr Genomics       Date:  2007-03-16       Impact factor: 3.674

10.  Molecular phenotype of zebrafish ovarian follicle by serial analysis of gene expression and proteomic profiling, and comparison with the transcriptomes of other animals.

Authors:  Anja Knoll-Gellida; Michèle André; Tamar Gattegno; Jean Forgue; Arie Admon; Patrick J Babin
Journal:  BMC Genomics       Date:  2006-03-09       Impact factor: 3.969

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.