Literature DB >> 8828038

Novel gene transcripts preferentially expressed in human muscles revealed by quantitative hybridization of a high density cDNA array.

G Piétu1, O Alibert, V Guichard, B Lamy, F Bois, E Leroy, R Mariage-Sampson, R Houlgatte, P Soularue, C Auffray.   

Abstract

A set of 1091 human skeletal muscle cDNA clone inserts representing more than 800 human gene transcripts were spotted as PCR products at high density on nylon membranes. Replicas of the filters were hybridized in stringent conditions with 33P-radiolabeled cDNA probes transcribed from skeletal muscle poly(A)+ RNA. Hybridization signals were collected on phosphor screens and processed using a software specifically adapted for this application to identify and quantitate each spot. Parameters likely to influence the hybridization signal intensity were assessed to eliminate artifacts. Each clone was assigned to one of four intensity classes reflecting the steady-state level of transcription of the corresponding gene in skeletal muscle. Differential expression of specific gene transcripts was detected using complex cDNA probes derived from nine different tissues, allowing assessment of their tissue specificity. This made it possible to identify 48 novel gene transcripts (including 7 homologous or related to known sequences) with a muscle-restricted pattern of expression. These results were validated through the analysis of known muscle-specific transcripts and by Northern analysis of a subset of the novel gene transcripts. All these genes have been registered in the Genexpress Index, such that sequence, map, and expression data can be used to decipher their role in the physiology and pathology of human muscles.

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Year:  1996        PMID: 8828038     DOI: 10.1101/gr.6.6.492

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  28 in total

1.  The human adult skeletal muscle transcriptional profile reconstructed by a novel computational approach.

Authors:  S Bortoluzzi; F d'Alessi; C Romualdi; G A Danieli
Journal:  Genome Res       Date:  2000-03       Impact factor: 9.043

2.  Normalization strategies for cDNA microarrays.

Authors:  J Schuchhardt; D Beule; A Malik; E Wolski; H Eickhoff; H Lehrach; H Herzel
Journal:  Nucleic Acids Res       Date:  2000-05-15       Impact factor: 16.971

Review 3.  Translational control of viral gene expression in eukaryotes.

Authors:  M Gale; S L Tan; M G Katze
Journal:  Microbiol Mol Biol Rev       Date:  2000-06       Impact factor: 11.056

4.  The genexpress IMAGE knowledge base of the human muscle transcriptome: a resource of structural, functional, and positional candidate genes for muscle physiology and pathologies.

Authors:  G Piétu; E Eveno; B Soury-Segurens; N A Fayein; R Mariage-Samson; C Matingou; E Leroy; C Dechesne; S Krieger; W Ansorge; I Reguigne-Arnould; D Cox; A Dehejia; M H Polymeropoulos; M D Devignes; C Auffray
Journal:  Genome Res       Date:  1999-12       Impact factor: 9.043

Review 5.  Challenge of investigating biologically relevant functions of virulence factors in bacterial pathogens.

Authors:  R Moxon; C Tang
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2000-05-29       Impact factor: 6.237

Review 6.  Microarray data quality analysis: lessons from the AFGC project. Arabidopsis Functional Genomics Consortium.

Authors:  David Finkelstein; Rob Ewing; Jeremy Gollub; Fredrik Sterky; J Michael Cherry; Shauna Somerville
Journal:  Plant Mol Biol       Date:  2002-01       Impact factor: 4.076

7.  A novel sensitive microarray approach for differential screening using probes labelled with two different radioelements.

Authors:  H Salin; T Vujasinovic; A Mazurie; S Maitrejean; C Menini; J Mallet; S Dumas
Journal:  Nucleic Acids Res       Date:  2002-02-15       Impact factor: 16.971

8.  Tissue gene expression analysis using arrayed normalized cDNA libraries.

Authors:  H Eickhoff; J Schuchhardt; I Ivanov; S Meier-Ewert; J O'Brien; A Malik; N Tandon; E W Wolski; E Rohlfs; L Nyarsik; R Reinhardt; W Nietfeld; H Lehrach
Journal:  Genome Res       Date:  2000-08       Impact factor: 9.043

9.  Improving DNA array data quality by minimising 'neighbourhood' effects.

Authors:  Andreas W Machl; Christoph Schaab; Igor Ivanov
Journal:  Nucleic Acids Res       Date:  2002-11-15       Impact factor: 16.971

10.  Pharmacogenomics of the cystic fibrosis transmembrane conductance regulator (CFTR) and the cystic fibrosis drug CPX using genome microarray analysis.

Authors:  M Srivastava; O Eidelman; H B Pollard
Journal:  Mol Med       Date:  1999-11       Impact factor: 6.354

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