Literature DB >> 17049805

Signatures from tissue-specific MPSS libraries identify transcripts preferentially expressed in the mouse inner ear.

Linda M Peters1, Inna A Belyantseva, Ayala Lagziel, James F Battey, Thomas B Friedman, Robert J Morell.   

Abstract

Specialization in cell function and morphology is influenced by the differential expression of mRNAs, many of which are expressed at low abundance and restricted to certain cell types. Detecting such transcripts in cDNA libraries may require sequencing millions of clones. Massively parallel signature sequencing (MPSS) is well suited to identifying transcripts that are expressed in discrete cell types and in low abundance. We have made MPSS libraries from microdissections of three inner ear tissues. By comparing these MPSS libraries to those of 87 other tissues included in the Mouse Reference Transcriptome online resource, we have identified genes that are highly enriched in, or specific to, the inner ear. We show by RT-PCR and in situ hybridization that signatures unique to the inner ear libraries identify transcripts with highly specific cell-type localizations. These transcripts serve to illustrate the utility of a resource that is available to the research community. Utilization of these resources will increase the number of known transcription units and expand our knowledge of the tissue-specific regulation of the transcriptome.

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Year:  2006        PMID: 17049805      PMCID: PMC1847387          DOI: 10.1016/j.ygeno.2006.09.006

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  47 in total

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Authors:  Jing Zheng; Laird D Madison; Dominik Oliver; Bernd Fakler; Peter Dallos
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  21 in total

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6.  Glucose transporter 5 is undetectable in outer hair cells and does not contribute to cochlear amplification.

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8.  Ion channel gene expression in the inner ear.

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Journal:  J Assoc Res Otolaryngol       Date:  2007-06-01

9.  USH1K, a novel locus for type I Usher syndrome, maps to chromosome 10p11.21-q21.1.

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10.  Efficient targeted transcript discovery via array-based normalization of RACE libraries.

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