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(Investigative Ophthalmology and Visual Science. 2002;43:603-607.)
© 2002 by The Association for Research in Vision and Ophthalmology, Inc.

Gene Expression Profile of Native Human Retinal Pigment Epithelium

Monika Buraczynska1,2, Alan J. Mears1, Sepideh Zareparsi1, Rafal Farjo1, Elena Filippova1, Yukun Yuan1, Sean P. MacNee1, Bret Hughes1,2 and Anand Swaroop1,3

1 From the Departments of Ophthalmology and Visual Sciences, 3 Physiology, and 4 Human Genetics, University of Michigan, Ann Arbor, Michigan.

PURPOSE. To generate a profile of genes expressed in the native human retinal pigment epithelium and identify candidate genes for retinal and macular diseases.

METHODS. Two cDNA libraries (one amplified, the other unamplified) were constructed using RNA isolated from native human RPE sheets. The sequence from the 5' end was obtained for randomly selected clones from the two libraries. Of these, more than 2000 expressed sequence tags (ESTs) were analyzed for similarity to sequences and gene clusters in public databases.

RESULTS. EST analysis revealed several known RPE-expressed genes and more than 500 genes that have been characterized previously but were not known to be expressed in the RPE. Transthyretin and 90-kDa heat shock protein represent the most abundant transcripts identified in these RPE libraries. More than 200 novel ESTs and putative proteins were identified. An additional 344 sequences matched only the human genomic sequence.

CONCLUSIONS. High-complexity cDNA libraries were generated from native human RPE. Analysis of ESTs generated from these libraries has yielded a profile of genes expressed in the native RPE. Several of the identified genes are known to play a significant role in the RPE. Novel ESTs, putative proteins, and genomic hits may represent as yet unidentified RPE-expressed genes and many of these, mapping in the region of retinal disease loci, may serve as candidate genes. In addition, the nonredundant set of more than 1100 genes and ESTs described herein will be a valuable resource for generating gene microarrays, which can assist in delineating RPE expression profiles during human disease pathogenesis.




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