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.
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 humanRPE 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 humanRPE. 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.
Authors: N V Strunnikova; A Maminishkis; J J Barb; F Wang; C Zhi; Y Sergeev; W Chen; A O Edwards; D Stambolian; G Abecasis; A Swaroop; P J Munson; S S Miller Journal: Hum Mol Genet Date: 2010-04-01 Impact factor: 6.150
Authors: Judith C Booij; Jacoline B ten Brink; Sigrid M A Swagemakers; Annemieke J M H Verkerk; Anke H W Essing; Peter J van der Spek; Arthur A B Bergen Journal: PLoS One Date: 2010-03-09 Impact factor: 3.240
Authors: Natalie E Freeman; Justin P Templeton; William E Orr; Lu Lu; Robert W Williams; Eldon E Geisert Journal: Mol Vis Date: 2011-05-25 Impact factor: 2.367
Authors: Judith C Booij; Simone van Soest; Sigrid M A Swagemakers; Anke H W Essing; Annemieke J M H Verkerk; Peter J van der Spek; Theo G M F Gorgels; Arthur A B Bergen Journal: BMC Genomics Date: 2009-04-20 Impact factor: 3.969