Mapping of transcription start sites of human retina expressed genes
© Roni et al; licensee BioMed Central Ltd. 2007
Received: 26 October 2006
Accepted: 07 February 2007
Published: 07 February 2007
The proper assembly of the transcriptional initiation machinery is a key regulatory step in the execution of the correct program of mRNA synthesis. The use of alternative transcription start sites (TSSs) provides a mechanism for cell and tissue specific gene regulation. Our knowledge of transcriptional initiation sequences in the human genome is limited despite the availability of the complete genome sequence. While genome wide experimental and bioinformatic approaches are improving our knowledge of TSSs, they lack information concerning genes expressed in a restricted manner or at very low levels, such as tissue specific genes.
In this study we describe the mapping of TSSs of genes expressed in human retina. Genes have been selected on the basis of their physiological or developmental role in this tissue. Our work combines in silico analysis of ESTs and known algorithm predictions together with their experimental validation via Cap-finder RACE. We report here the TSSs mapping of 54 retina expressed genes: we retrieved new sequences for 41 genes, some of which contain un-annotated exons. Results can be grouped into five categories, compared to the RefSeq; (i) TSS located in new first exons, (ii) splicing variation of the second exon, (iii) extension of the annotated first exon, (iv) shortening of the annotated first exon, (v) confirmation of previously annotated TSS.
In silico and experimental analysis of the transcripts proved to be essential for the ultimate mapping of TSSs. Our results highlight the necessity of a tissue specific approach to complete the existing gene annotation. The new TSSs and transcribed sequences are essential for further exploration of the promoter and other cis- regulatory sequences at the 5'end of genes.
The spatial and temporal regulation of gene transcription is primarily determined by it's flanking promoter (cis- regulatory DNA elements) through interaction with trans-acting regulatory proteins (transcription factors) [1, 2]. The start of transcription is accomplished by the formation of a pre-initiation complex on the DNA, yet our knowledge of transcriptional initiation sequences in the human genome is still limited despite the availability of the complete genome sequence [3, 4]. Therefore one of the main remaining challenges is to locate these gene sequences, defined as the transcription start site (TSS), in order to explore core promoter and cis- regulatory elements that direct the start of every transcript. Genomic structure and full length cDNA sequences aligned on the genome provide opportunities to locate TSSs. Conventional methods for determining exact TSSs, such as 5' RACE or primer extension are laborious and are not selective for the complete transcript. Consequently, many mRNA sequences stored in public databases lack information about their genuine 5' ends, mainly due to the difficulties in obtaining full-length cDNA. Several bioinformatic and experimental approaches have been developed to explore full-length cDNAs and the human transcriptome . Computational predictions may represent a powerful tool to localize first exons and TSSs on an averaged genome-wide scale [6, 7], however they may fail at the level of individual genes or in genes with complex regulatory patterns (e.g. multiple or tissue-specific TSS).
Recently a number of experimental approaches to compile TSSs on a genome-wide scale have been established including the Database of human Transcriptional Start Sites (DBTSS) , whole genome tilling array analysis , and the exploration of mouse and human CAGE tag libraries . To enable future progress we need to complete and revise these catalogues with an accurate annotation of the 5' and 3'end, and include splice isoforms of the transcripts. In addition to genome wide approaches, there is a need for more specific studies, which cover tissue specific genes, expressed in a restricted manner. Identification of potential transcription signals that are tissue specific relies on the correct determination of transcriptional start sites.
In this work we describe an experimental approach to identify the TSSs of a selected group of genes, which are predominantly expressed in retina. We focused our attention on the human retina, due to its unique and specialised function. This complex tissue, composed of multiple, highly differentiated and specific cell types (e.g. rod and cone photoreceptors, amacrine cells, Mueller glial cells), expresses a large number of specific genes. Mutations in many of these genes result in blinding disorders. The subset of genes expressed in human retina has been partially elucidated [11, 12], with a number of studies defining genes that are either highly expressed in retina or which pose a crucial target of transcription factors in this tissue [13–16]. We selected a pool of retina expressed genes and employed Cap selective RACE to ensure amplification and subsequent cloning of genuine TSSs. We describe herein the results of this analysis, reporting the correct TSSs within this group of retinal transcripts.
Genes Selection and in silico assembly
76 annotated genes were selected for analysis. The selection was done based on the following criteria: (i) specific or high levels of expression in retina, (ii) a role in retina specific physiological processes or retinal development, and (iii) involvement in retinal disease. A compilation of all tested genes including gene symbol, definition, chromosomal location and tissue/cell type of expression is shown in Additional file 1.
cDNA and transcript sequences available in public databases (RefSeq, NCBI and Ensemble gene predictions covered by at least one EST, Unigene ESTs database) were downloaded and new assemblies generated using SeqMan.
We found that 5' transcript termini represented in public datasets can be readily identified by clusters of cDNA ends in the assemblies. Additionally, the information about putative TSSs was assessed in The Eukaryotic Promoter Database  and Database of Transcriptional Start Sites (DBTSS) . These data were compiled to create a preliminary gene model which was used to design primers for the subsequent Cap-finder RACE experiments.
Experimental examination of TSSs
Results of the RACE experiment to determine the TSS of retina transcripts
Two new first exons
Extension exon 0 of 180 bp
New first exon
Shorter exon 1 of 508 bp
New first Exon
Two new first exons
Extension exon 1 of 203 bp
New first Exon
Lack of exon 1. exon 2 extended
Two new exons
Two new first exons
Lack of exon 2
Lack of exon 1. shortening exon2
Complete in the first 3 Exons
Lack of exon 2
Extension exon 1 of
Shortening exon 1 of
Previous 5' end confirmed
Our strategy relies on the location of gene specific primers within internal exons. We obtained those cDNA products that covered at least one exon-exon junction and thus ruled out the possibility of amplification of genomic contamination. This strategy has enabled us to identify alternatively spliced 5' ends that arise from tissue specific gene expression and regulation.
Table 1 lists the results of the Cap-finder RACE experiments for 54 retinal expressed genes and the corresponding RefSeq entry (database release 18). These results can be grouped into five categories with reference to RefSeq; (i) new TSSs within novel exons (8 genes), (ii) alternative splice form of the second exon (2 genes: IMPG1, SAG), (iii) extension of the annotated first exon (27 genes), (iv) length shortening of the annotated first exon (4 genes), (v) confirmation of previously annotated TSSs (13 genes). Table 1 provides the exact nucleotide positions of 5' termini of the Cap-finder RACE cDNA clones referring to the UCSC Human Genome Browser (March 2006 assembly). In defining the interval where TSSs are located we report the start, and when present, the internal frequent start and end nucleotide position of each TSS. Sequences from this study have been submitted to GenBank under the accession numbers: DQ067456–DQ067464, DQ426859–DQ426897, DQ980599–DQ980621.
Retinal expressed genes with new 5' exons
For 8 genes (C1orf32, CNGA3, DHRS3, ELOVL5, KIFC3, RCV1, RDH12, SLC24A2) we have identified a new exon composition at the 5' end of the transcript and in some cases new untranslated 5' exons that locate the TSS several kilobases upstream or downstream from the annotated one.
CNGA3 (cyclic nucleotide gated channel alpha 3) codes for the α-subunits of the cone photoreceptor cGMP-gated channel, a crucial component of the cone phototransduction cascade in colour vision. Mutation in this gene causes achromatopsia. The RACE experiment confirmed the presence of 4 isoforms, all containing a splicing of untranslated exon 0 localised 23,4 kb upstream of exon1  (Figure 1B).
RDH12 (Retinol dehydrogenase 12) is an enzyme with dual-specificity retinol dehydrogenases that metabolise both all-trans- and cis- retinols, reported to be expressed in photoreceptors . Mutations within RDH12 cause both recessive early onset Retinitis pigmentosa and Leber's congenital amaurosis [20, 21]. In human retinal mRNA we retrieved two forms of the transcripts containing a new first exon located upstream of the RefSeq TSS and a differentially spliced second exon. The in silico assembly and experimental pipeline allowed us report three putative TSSs for this gene; the first is defined by the RefSeq annotation, the second was deduced from the most upstream transcript represented by ESTs from pooled colon and the third is a new TSS displayed by retinal transcripts (Figure 1C).
DHRS3 (dehydrogenase/reductase, SDR family, member 3) codes for an enzyme catalysing the reduction of all-trans-retinal to all-trans-retinol in the presence of NADPH [19, 22]. The gene was included in our study for its high expression in retina. Cap-finder RACE confirmed the previous first exon and TSS. We also detected an alternative TSS in a new first exon downstream from the annotated one which was predicted with FirstEF . (Additional file 2: Figure 5).
ELOVL5 (elongation of long chain fatty acids, including docosahexanoic acid (DHA), family member 5). This gene was recently annotated as a retinal expressed gene  and a target of mutation studies in retinitis pigmentosa . We detected a new form of the transcript with a new first exon that was not previously annotated or described for retina. (Additional file 3: Figure 6)
KIFC3 (Kinesin family member C3) codes for a retina specific microtubule-associated force-producing protein that may play a role in intracellular transport . We have characterised two new isoforms of KIFC3 retinal transcripts which lack the first 3 exons annotated in RefSeq. Both transcripts include a new first exon that localizes these new TSSs 44 kb upstream and 27 kb downstream respectively from the TSS referenced in the RefSeq database. The more upstream start site locates the gene in proximity to another retina specific gene (CNGB1). (Additional file 4: Figure 7)
RCV1 (recoverin) inhibits rhodopsin kinase activity in retinal photoreceptors by reducing the binding of arrestin to rhodopsin. Deregulation of recoverin expression in certain types of cancer demonstrates a pathological role in cancer-associated retinopathy . Although a previous study of the promoter was performed , no clear evidence of the TSS have been described. For this gene we detected three alternative transcripts; the first with the same 5' end as the previously annotated TSS (first exon length may vary from 203 bp longer to 444 bp shorter), the second with a more frequent isoform lacking the first exon and starting 80 bp upstream from the second exon of the RefSeq and the third form has a new first exon located downstream from the annotated one. (Additional file 5: Figure 8).
SLC24A2 (solute carrier family 24, sodium/potassium/calcium exchanger, member 2) codes for a potassium-dependent sodium-calcium exchanger in cone photoreceptor . Although variant alleles of the cone SLC24A2 gene have been identified, none of them are definitively associated with a specific retinal disease . The new model we present for SLC24A2 predicts three putative TSSs located in two new additional exons that are alternatively spliced (Additional file 6: Figure 9).
We also investigated whether the new exons that extend the 5' end of the transcript may introduce new potentially protein coding sequences. We didn't observe in any case an extension of the open reading frame beyond the annotated start codon. However short alternate open reading frames of at least 40 codons were observed for C1orf32 (nucleotide position 18–290 from the TSS in isoform a, and position 164–400 in isoform b), CNGA3 (position 166–315), DHRS3 (position 166–315), KIFC3 (position 4–195), and SLC24A2 (position 55–183 isoform a, 44–289 isoform b). Yet the translated sequences of these short ORFs do not have homology with any protein in public databases.
Detection of novel splicing variants and shorter transcripts
Our experimental procedure described alternatively spliced isoforms for two genes IMPG1, SAG, which lack exon 2 of the RefSeq. These forms have not been annotated in the RefSeq database. We confirmed these alternatively spliced isoforms by regular RT-PCR (Data not shown). The second exon of the gene SAG contains the TSS and the presence of this alternative form, lacking the regular start site, may play a role in the regulation and further processing of the transcript. For 4 genes (CRB2, CRX, RP1, WDR17), we detected shorter transcripts that lack the annotated start codon. Since these experiments were done with the same adapter ligated first-strand cDNA we assume that these short transcripts are derived from true alternative TSSs. These transcripts may be preferentially amplified in the RT-PCR and may be translated from an internal initiation codon. We report in Table 1 the detailed results for these genes.
Confirmation of results with primer extension
Comparison with existing annotations and databases
To assess the quality of current annotations of the 5' end of genes expressed in human retina, the sequences obtained by 5' RACE were compared with the corresponding gene annotation/prediction. Overall, RACE experiments detected 15 exons that were neither annotated nor predicted for retina transcripts; 8 exons did not have any matching experimental evidence in GenBank, while the other 7 showed different boundaries or alternative splice sites. Of these 15 un-annotated exons, 12 are first exons and can be considered the new first exon for the retinal transcripts. Of the 54 genes successfully amplified, 41 (76%) delivered 5' RACE sequences different from the annotation. Results of a parallel project, DBTSS , supported our results concerning 3 of these genes (CNGA3, ELOVL5 and SLC24A2) although the source of mRNA was not human retina. We extended the annotated first exon of 27 RefSeq genes by an average of 60 transcribed bases. We compared our results with genome wide mapping of TSSs using CAGE tags . We found perfect correspondence for 13 transcript isoforms; for another 6 transcripts the start site retrieved in the CAGE database is located less than 400 bp away. For 35 transcript isoforms the TSS is located in a different position (See Table 1). This discrepancy in the results may be due to the fact that the CAGE database doesn't include retina amongst the panel of analysed tissues and therefore lack specific and rare transcript isoforms present in that tissue.
Shape of TSSs and conservation
Although TSSs of orthologous genes do not necessary reside on equivalent locations because of evolution of mammalian TSSs , we analysed sequence conservation of the first new exons among a set of mammals (mouse, dog, cow): the range of conservation varies between 42 and 89 %. We report the pairwise alignment percentage of identity in Additional file 7.
Sequences residing upstream and downstream from the boundaries of new defined exons are regions displaying high regulatory potential calculated by a computational algorithm  integrated in the UCSC genome browser. The regulatory potential (RP) scores computed for the 500 bp sequence upstream the TSS shows that in 9 new first exons out of 11 the RP value exceeds an arbitrary threshold of 0.2 (data not shown). Considering 500 bp downstream the splice site of the first exon the RP value is > 0,2 at least for 7 first exons out of 11. This observation confirms the importance of the new described exons to locate new regulatory elements that are important for transcription in retina.
Now that the information pertaining to the genomes of human and other animals is available, the next challenge for genetic studies is to map the TSSs and regulatory sequences of the genes. Here, we carried out a study to determine the genuine TSSs of a pool of retinal expressed genes. The results give correct information about the complete 5' end of transcripts and this data will be useful to locate the respective core and proximal promoter elements. We chose Cap-finder RACE to map the TSS of retinal expressed genes because this technique is selective for the complete transcript [8, 32]. For 41 out of 54 successfully amplified genes, the Cap-finder RACE experiments detected transcripts which are different from the current gene annotation In most cases the RefSeq was incomplete. Transcripts were missing part of the first exon or even complete exons at the 5' end. This experimental determination of TSSs shows that the current gene annotation was in most cases obtained from data sources that are not strictly selective for the complete transcribed form, and need to be updated. This procedure led us to discover several transcript isoforms that were un-annotated and to locate retina specific TSSs. Proteins encoded by these genes are essential for retina function and stability. A mutation in the cis-regulatory elements may influence the level of transcription and have a strong effect due to sensitivity of photoreceptors for high level transcription of genes involved in phototransduction. The new described cis-regulatory regions and untranslated exons are possible targets for mutation studies in retinal disorders. Therefore new isoforms give a more complete picture of alternative start sites use in retina genes. The 5' untranslated region may contain important transcriptional and post transcriptional regulatory sites [33–35] and therefore only the complete 5' UTR provides the opportunity to study the potential regulatory role of these non-coding sequences. New reported TSSs contribute to the identification of regulatory elements active in tissue specific gene regulation [36, 37]. Moreover, bioinformatics tools that identify common regulatory elements rely on the correct determination of TSSs within a particular tissue , therefore these computational approaches will only be effective after experimental validation of the 5' end of transcripts.
We herein report the TSSs for 54 retina expressed genes. Our results define new and more precise locations of TSSs for 76% of the analysed genes; moreover in 15% of the genes we found new exons in the 5' end of the transcripts. Thus, this analysis of TSSs in human retina was essential to define the complex pattern of transcripts present in this tissue.
Our results highlight the importance of applying a tissue specific approach with a systematic program of Cap-finder RACE using the known gene structures as a starting point and/or gene predictions to complete the existing gene annotation. The new TSSs and transcribed sequences provide crucial information for further exploration of the promoter and other cis- regulatory sequences at the 5'end of the gene, and in particular for the study those elements that are functionally active in human retina.
In silico analysis
We used available public database information (RefSeq, NCBI and Ensemble predictions covered by at least one EST, Unigene EST database) to perform in silico assembly and analysis of 5'transcript termini. The procedure involves downloading the sequences from public databases, clustering them to obtain a consensus and designing a gene model with the most complete 5' transcript termini. Sequences were downloaded and assembled using the SeqMan program (DNAstar). In our analysis we consider retina ESTs as well as non-retinal ESTs to obtain the most complete information about the different alternative start sites already mapped. Additionally, the information about putative TSS was assessed using Promoser , Eukaryotic Promoter Database Current Release 87 , and Database of Transcriptional Start Sites DBTSS . First exon boundaries were determined by aligning the predicted sequence to the genome using BLAT . The gene model was then deduced considering the clustering of all the collected sequences giving the priority to the most accurate database in the 5' termini (EPD and DBTSS), but considering also gene prediction (GENSCAN, implemented in the UCSC Genome Browser) and gene annotation that are confirm by at least one EST . To evaluate first exons conservation we used BioEdit pairwise and multiple alignments 
Gene specific reverse primers were selected within exons other than the first exon to obtain spliced products. Two primers were chosen for each gene, in order to perform a nested PCR, which allows to enhance specificity, and to obtain a sufficient amplification product for rare transcripts. Primers were designed using the Primer3 software , and checked for uniqueness by querying against the human genome.
We applied the RNA-ligase-mediated RACE (RLM-RACE) system from Ambion. RNA sample from adult human retina was treated with DNAse I. After DNase treatment and inactivation, 10 μg of total RNA was dephosphorylated for 60 min at 37°C with 10 U Calf Intestinal Phosphatase to remove the 5'-phosphate from all RNA species except those that have a cap structure (present on all Pol II transcripts). RNA was then phenol/chloroform extracted, precipitated and re-suspended in water. Dephosphorylated RNA was then digested for 60 min at 37°C in a 10-μL reaction with 10 U tobacco acid pyrophosphatase. Subsequently the RNA was incubated for 60 min at 37°C with 1 U T4 RNA ligase and 0.3 μg of an RNA adapter (5' RACE Adapter 5'-GCU-GAU-GGC-GAU-GAA-UGA-ACA-CUG-CGU-UUG-CUG-GCU-UUG-AUG-AAA-3'). After ligation, 180 ng of RNA was incubated for 2 min at 75°C in the presence of 5 μM random decamers in RT buffer. Single-stranded cDNA was generated by the addition of 100 U M-MLV RT and incubation at 42°C for 60 min.
Amplification of 5' RACE cDNA was carried out using nested gene-specific primers and adapter specific primers and with 1 μl of the first-strand cDNA reaction. PCR reactions were done in 50 μl volume including 5 μl 10× PCR Buffer supplied in the RLM kit, 4 μl dNTP Mix 10 mM, 2 μl 5' RACE gene-specific outer primer (10 μM), 2 μl 5' RACE Outer or Inner Primer (10 μM), and 1 U thermostable DNA polymerase. Cycling conditions were: 5 min initial denaturation at 94°C PCR followed by 35 cycles of 95°C for 30 s, 60-55°C (empirically determined) for 30 s (annealing), 72°C for 30 s (extension) and a final extension at 72°C for 7 mins. Amplified products were analysed on a 3% agarose gel and visualised by ethidium bromide staining.
Cloning and sequencing of RACE products
5' RACE products were cloned into pCR-2.1 vector (Invitrogen). 2 μL of PCR reaction were incubated with 0.1 ng of vector at 16°C over-night. Aliquots of the ligation were used to transform library efficiency chemically competent E. coli DH5α (Invitrogen). 8 to 48 clones of each transformation were subjected to colony PCR and the inserts sequenced with standard M13 forward and reverse primers applying Big Dye Terminator v3.0 chemistry (Applied Biosystems). Sequencing products were separated and analysed on an ABI 3100 DNA sequencer.
Gene sequences and cDNA sequences, obtained using the RACE, were aligned to the human genome using BLAT. cDNA sequence was considered informative only if the following criteria were met: (I) the spliced sequence mapped to the same region of the genome as the gene sequence; (II) the product could be mapped uniquely to the genome with >95% identity and (III) presence of the gene specific primer sequence and the 5' RACE Adapter primer sequence.
A fluorescein phosphoramidites (FAM)-labelled reverse primer was added to 10 μg of DNAseI-treated total RNA to a final concentration of 5 nM. Samples were heated at 70°C for 5 min followed by 20 min incubation at 58°C and then allowed to cool for 15 min to room temperature. First strand cDNA synthesis was performed using Avian Myeloblastoma Virus (AMV) reverse transcriptase and 5× AMV-RT buffer (Promega) according to the manufacturer's instructions in a final volume of 60 μl. The primer extension reaction was done in two repeated reaction cycles. After an initial reverse transcription step (60 min at 42°C in a total volume of 50 μl), enzyme was replenished and the samples underwent a second extension reaction (60 min at 42°C, adjusting the buffer to a total volume of 60 μl). Finally 3 μl of 5 M NaOH was added to each cDNA sample, the reaction incubated at 37°C for 15 min and then neutralised with 16 μl of 2 M HEPES free acid. Extension products were purified using the columns AutoSeq G-50 (Amersham Pharmacia Biotech). Samples were separated on 50-cm capillary columns in the POP4 acryl amide polymer (Applied Biosystems) on an ABI PRISM 3100 Genetic Analyser (Applied-Biosystems) Sequencer with GENESCAN 500-ROX added as size standard (Applied-Biosystems). The sequences of the gene specific reverse primers were: RDH12 5' tgagcagcagcctgactctgagcaga gcccaga 3', CNGA3 5'atcttctcggtttgtcacatttagc 3', with 5' ends modified with the fluorescent molecule 6-FAM.
We thank Naomi Chadderton and Katja Koeppen for proofreading of the manuscript and Emanuela De Luca for help with the artwork.
This project is supported by: European Union Research Training Network 'RETNET' MRTN-CT-2003-504003
- Smale ST, Kadonaga JT: The RNA polymerase II core promoter. Annu Rev Biochem. 2003, 72: 449-479. 10.1146/annurev.biochem.72.121801.161520.PubMedView ArticleGoogle Scholar
- Hahn S: Structure and mechanism of the RNA polymerase II transcription machinery. Nat Struct Mol Biol. 2004, 11 (5): 394-403. 10.1038/nsmb763.PubMed CentralPubMedView ArticleGoogle Scholar
- Venter JC, Adams MD, Myers EW, Li PW, Mural RJ, Sutton GG, Smith HO, Yandell M, Evans CA, Holt RA, Gocayne JD, Amanatides P, Ballew RM, Huson DH, Wortman JR, Zhang Q, Kodira CD, Zheng XH, Chen L, Skupski M, Subramanian G, Thomas PD, Zhang J, Gabor Miklos GL, Nelson C, Broder S, Clark AG, Nadeau J, McKusick VA, Zinder N, Levine AJ, Roberts RJ, Simon M, Slayman C, Hunkapiller M, Bolanos R, Delcher A, Dew I, Fasulo D, Flanigan M, Florea L, Halpern A, Hannenhalli S, Kravitz S, Levy S, Mobarry C, Reinert K, Remington K, Abu-Threideh J, Beasley E, Biddick K, Bonazzi V, Brandon R, Cargill M, Chandramouliswaran I, Charlab R, Chaturvedi K, Deng Z, Di Francesco V, Dunn P, Eilbeck K, Evangelista C, Gabrielian AE, Gan W, Ge W, Gong F, Gu Z, Guan P, Heiman TJ, Higgins ME, Ji RR, Ke Z, Ketchum KA, Lai Z, Lei Y, Li Z, Li J, Liang Y, Lin X, Lu F, Merkulov GV, Milshina N, Moore HM, Naik AK, Narayan VA, Neelam B, Nusskern D, Rusch DB, Salzberg S, Shao W, Shue B, Sun J, Wang Z, Wang A, Wang X, Wang J, Wei M, Wides R, Xiao C, Yan C, Yao A, Ye J, Zhan M, Zhang W, Zhang H, Zhao Q, Zheng L, Zhong F, Zhong W, Zhu S, Zhao S, Gilbert D, Baumhueter S, Spier G, Carter C, Cravchik A, Woodage T, Ali F, An H, Awe A, Baldwin D, Baden H, Barnstead M, Barrow I, Beeson K, Busam D, Carver A, Center A, Cheng ML, Curry L, Danaher S, Davenport L, Desilets R, Dietz S, Dodson K, Doup L, Ferriera S, Garg N, Gluecksmann A, Hart B, Haynes J, Haynes C, Heiner C, Hladun S, Hostin D, Houck J, Howland T, Ibegwam C, Johnson J, Kalush F, Kline L, Koduru S, Love A, Mann F, May D, McCawley S, McIntosh T, McMullen I, Moy M, Moy L, Murphy B, Nelson K, Pfannkoch C, Pratts E, Puri V, Qureshi H, Reardon M, Rodriguez R, Rogers YH, Romblad D, Ruhfel B, Scott R, Sitter C, Smallwood M, Stewart E, Strong R, Suh E, Thomas R, Tint NN, Tse S, Vech C, Wang G, Wetter J, Williams S, Williams M, Windsor S, Winn-Deen E, Wolfe K, Zaveri J, Zaveri K, Abril JF, Guigo R, Campbell MJ, Sjolander KV, Karlak B, Kejariwal A, Mi H, Lazareva B, Hatton T, Narechania A, Diemer K, Muruganujan A, Guo N, Sato S, Bafna V, Istrail S, Lippert R, Schwartz R, Walenz B, Yooseph S, Allen D, Basu A, Baxendale J, Blick L, Caminha M, Carnes-Stine J, Caulk P, Chiang YH, Coyne M, Dahlke C, Mays A, Dombroski M, Donnelly M, Ely D, Esparham S, Fosler C, Gire H, Glanowski S, Glasser K, Glodek A, Gorokhov M, Graham K, Gropman B, Harris M, Heil J, Henderson S, Hoover J, Jennings D, Jordan C, Jordan J, Kasha J, Kagan L, Kraft C, Levitsky A, Lewis M, Liu X, Lopez J, Ma D, Majoros W, McDaniel J, Murphy S, Newman M, Nguyen T, Nguyen N, Nodell M, Pan S, Peck J, Peterson M, Rowe W, Sanders R, Scott J, Simpson M, Smith T, Sprague A, Stockwell T, Turner R, Venter E, Wang M, Wen M, Wu D, Wu M, Xia A, Zandieh A, Zhu X: The sequence of the human genome. Science. 2001, 291 (5507): 1304-1351. 10.1126/science.1058040.PubMedView ArticleGoogle Scholar
- Lander ES, Linton LM, Birren B, Nusbaum C, Zody MC, Baldwin J, Devon K, Dewar K, Doyle M, FitzHugh W, Funke R, Gage D, Harris K, Heaford A, Howland J, Kann L, Lehoczky J, LeVine R, McEwan P, McKernan K, Meldrim J, Mesirov JP, Miranda C, Morris W, Naylor J, Raymond C, Rosetti M, Santos R, Sheridan A, Sougnez C, Stange-Thomann N, Stojanovic N, Subramanian A, Wyman D, Rogers J, Sulston J, Ainscough R, Beck S, Bentley D, Burton J, Clee C, Carter N, Coulson A, Deadman R, Deloukas P, Dunham A, Dunham I, Durbin R, French L, Grafham D, Gregory S, Hubbard T, Humphray S, Hunt A, Jones M, Lloyd C, McMurray A, Matthews L, Mercer S, Milne S, Mullikin JC, Mungall A, Plumb R, Ross M, Shownkeen R, Sims S, Waterston RH, Wilson RK, Hillier LW, McPherson JD, Marra MA, Mardis ER, Fulton LA, Chinwalla AT, Pepin KH, Gish WR, Chissoe SL, Wendl MC, Delehaunty KD, Miner TL, Delehaunty A, Kramer JB, Cook LL, Fulton RS, Johnson DL, Minx PJ, Clifton SW, Hawkins T, Branscomb E, Predki P, Richardson P, Wenning S, Slezak T, Doggett N, Cheng JF, Olsen A, Lucas S, Elkin C, Uberbacher E, Frazier M, Gibbs RA, Muzny DM, Scherer SE, Bouck JB, Sodergren EJ, Worley KC, Rives CM, Gorrell JH, Metzker ML, Naylor SL, Kucherlapati RS, Nelson DL, Weinstock GM, Sakaki Y, Fujiyama A, Hattori M, Yada T, Toyoda A, Itoh T, Kawagoe C, Watanabe H, Totoki Y, Taylor T, Weissenbach J, Heilig R, Saurin W, Artiguenave F, Brottier P, Bruls T, Pelletier E, Robert C, Wincker P, Smith DR, Doucette-Stamm L, Rubenfield M, Weinstock K, Lee HM, Dubois J, Rosenthal A, Platzer M, Nyakatura G, Taudien S, Rump A, Yang H, Yu J, Wang J, Huang G, Gu J, Hood L, Rowen L, Madan A, Qin S, Davis RW, Federspiel NA, Abola AP, Proctor MJ, Myers RM, Schmutz J, Dickson M, Grimwood J, Cox DR, Olson MV, Kaul R, Raymond C, Shimizu N, Kawasaki K, Minoshima S, Evans GA, Athanasiou M, Schultz R, Roe BA, Chen F, Pan H, Ramser J, Lehrach H, Reinhardt R, McCombie WR, de la Bastide M, Dedhia N, Blocker H, Hornischer K, Nordsiek G, Agarwala R, Aravind L, Bailey JA, Bateman A, Batzoglou S, Birney E, Bork P, Brown DG, Burge CB, Cerutti L, Chen HC, Church D, Clamp M, Copley RR, Doerks T, Eddy SR, Eichler EE, Furey TS, Galagan J, Gilbert JG, Harmon C, Hayashizaki Y, Haussler D, Hermjakob H, Hokamp K, Jang W, Johnson LS, Jones TA, Kasif S, Kaspryzk A, Kennedy S, Kent WJ, Kitts P, Koonin EV, Korf I, Kulp D, Lancet D, Lowe TM, McLysaght A, Mikkelsen T, Moran JV, Mulder N, Pollara VJ, Ponting CP, Schuler G, Schultz J, Slater G, Smit AF, Stupka E, Szustakowski J, Thierry-Mieg D, Thierry-Mieg J, Wagner L, Wallis J, Wheeler R, Williams A, Wolf YI, Wolfe KH, Yang SP, Yeh RF, Collins F, Guyer MS, Peterson J, Felsenfeld A, Wetterstrand KA, Patrinos A, Morgan MJ, de Jong P, Catanese JJ, Osoegawa K, Shizuya H, Choi S, Chen YJ: Initial sequencing and analysis of the human genome. Nature. 2001, 409 (6822): 860-921. 10.1038/35057062.PubMedView ArticleGoogle Scholar
- Trinklein ND, Aldred SJ, Saldanha AJ, Myers RM: Identification and functional analysis of human transcriptional promoters. Genome Res. 2003, 13 (2): 308-312. 10.1101/gr.794803.PubMed CentralPubMedView ArticleGoogle Scholar
- Davuluri RV, Grosse I, Zhang MQ: Computational identification of promoters and first exons in the human genome. Nat Genet. 2001, 29 (4): 412-417. 10.1038/ng780.PubMedView ArticleGoogle Scholar
- Sonnenburg S, Zien A, Ratsch G: ARTS: accurate recognition of transcription starts in human. Bioinformatics. 2006, 22 (14): e472-80. 10.1093/bioinformatics/btl250.PubMedView ArticleGoogle Scholar
- Suzuki Y, Yamashita R, Sugano S, Nakai K: DBTSS, DataBase of Transcriptional Start Sites: progress report 2004. Nucleic Acids Res. 2004, 32 (Database issue): D78-81. 10.1093/nar/gkh076.PubMed CentralPubMedView ArticleGoogle Scholar
- Cheng J, Kapranov P, Drenkow J, Dike S, Brubaker S, Patel S, Long J, Stern D, Tammana H, Helt G, Sementchenko V, Piccolboni A, Bekiranov S, Bailey DK, Ganesh M, Ghosh S, Bell I, Gerhard DS, Gingeras TR: Transcriptional maps of 10 human chromosomes at 5-nucleotide resolution. Science. 2005, 308 (5725): 1149-1154. 10.1126/science.1108625.PubMedView ArticleGoogle Scholar
- Carninci P, Sandelin A, Lenhard B, Katayama S, Shimokawa K, Ponjavic J, Semple CA, Taylor MS, Engstrom PG, Frith MC, Forrest AR, Alkema WB, Tan SL, Plessy C, Kodzius R, Ravasi T, Kasukawa T, Fukuda S, Kanamori-Katayama M, Kitazume Y, Kawaji H, Kai C, Nakamura M, Konno H, Nakano K, Mottagui-Tabar S, Arner P, Chesi A, Gustincich S, Persichetti F, Suzuki H, Grimmond SM, Wells CA, Orlando V, Wahlestedt C, Liu ET, Harbers M, Kawai J, Bajic VB, Hume DA, Hayashizaki Y: Genome-wide analysis of mammalian promoter architecture and evolution. Nat Genet. 2006Google Scholar
- Schulz HL, Goetz T, Kaschkoetoe J, Weber BH: The Retinome - defining a reference transcriptome of the adult mammalian retina/retinal pigment epithelium. BMC Genomics. 2004, 5 (1): 50-10.1186/1471-2164-5-50.PubMed CentralPubMedView ArticleGoogle Scholar
- Blackshaw S, Harpavat S, Trimarchi J, Cai L, Huang H, Kuo WP, Weber G, Lee K, Fraioli RE, Cho SH, Yung R, Asch E, Ohno-Machado L, Wong WH, Cepko CL: Genomic analysis of mouse retinal development. PLoS Biol. 2004, 2 (9): E247-10.1371/journal.pbio.0020247.PubMed CentralPubMedView ArticleGoogle Scholar
- Blackshaw S, Fraioli RE, Furukawa T, Cepko CL: Comprehensive analysis of photoreceptor gene expression and the identification of candidate retinal disease genes. Cell. 2001, 107 (5): 579-589. 10.1016/S0092-8674(01)00574-8.PubMedView ArticleGoogle Scholar
- Chowers I, Gunatilaka TL, Farkas RH, Qian J, Hackam AS, Duh E, Kageyama M, Wang C, Vora A, Campochiaro PA, Zack DJ: Identification of novel genes preferentially expressed in the retina using a custom human retina cDNA microarray. Invest Ophthalmol Vis Sci. 2003, 44 (9): 3732-3741. 10.1167/iovs.02-1080.PubMedView ArticleGoogle Scholar
- Lord-Grignon J, Tetreault N, Mears AJ, Swaroop A, Bernier G: Characterization of new transcripts enriched in the mouse retina and identification of candidate retinal disease genes. Invest Ophthalmol Vis Sci. 2004, 45 (9): 3313-3319. 10.1167/iovs.03-1350.PubMedView ArticleGoogle Scholar
- Yu J, Farjo R, MacNee SP, Baehr W, Stambolian DE, Swaroop A: Annotation and analysis of 10,000 expressed sequence tags from developing mouse eye and adult retina. Genome Biol. 2003, 4 (10): R65-10.1186/gb-2003-4-10-r65.PubMed CentralPubMedView ArticleGoogle Scholar
- Schmid CD, Perier R, Praz V, Bucher P: EPD in its twentieth year: towards complete promoter coverage of selected model organisms. Nucleic Acids Res. 2006, 34 (Database issue): D82-5. 10.1093/nar/gkj146.PubMed CentralPubMedView ArticleGoogle Scholar
- Wissinger B, Gamer D, Jagle H, Giorda R, Marx T, Mayer S, Tippmann S, Broghammer M, Jurklies B, Rosenberg T, Jacobson SG, Sener EC, Tatlipinar S, Hoyng CB, Castellan C, Bitoun P, Andreasson S, Rudolph G, Kellner U, Lorenz B, Wolff G, Verellen-Dumoulin C, Schwartz M, Cremers FP, Apfelstedt-Sylla E, Zrenner E, Salati R, Sharpe LT, Kohl S: CNGA3 mutations in hereditary cone photoreceptor disorders. Am J Hum Genet. 2001, 69 (4): 722-737. 10.1086/323613.PubMed CentralPubMedView ArticleGoogle Scholar
- Haeseleer F, Jang GF, Imanishi Y, Driessen CA, Matsumura M, Nelson PS, Palczewski K: Dual-substrate specificity short chain retinol dehydrogenases from the vertebrate retina. J Biol Chem. 2002, 277 (47): 45537-45546. 10.1074/jbc.M208882200.PubMed CentralPubMedView ArticleGoogle Scholar
- Janecke AR, Thompson DA, Utermann G, Becker C, Hubner CA, Schmid E, McHenry CL, Nair AR, Ruschendorf F, Heckenlively J, Wissinger B, Nurnberg P, Gal A: Mutations in RDH12 encoding a photoreceptor cell retinol dehydrogenase cause childhood-onset severe retinal dystrophy. Nat Genet. 2004, 36 (8): 850-854. 10.1038/ng1394.PubMedView ArticleGoogle Scholar
- Perrault I, Hanein S, Gerber S, Barbet F, Ducroq D, Dollfus H, Hamel C, Dufier JL, Munnich A, Kaplan J, Rozet JM: Retinal dehydrogenase 12 (RDH12) mutations in leber congenital amaurosis. Am J Hum Genet. 2004, 75 (4): 639-646. 10.1086/424889.PubMed CentralPubMedView ArticleGoogle Scholar
- Haeseleer F, Huang J, Lebioda L, Saari JC, Palczewski K: Molecular characterization of a novel short-chain dehydrogenase/reductase that reduces all-trans-retinal. J Biol Chem. 1998, 273 (34): 21790-21799. 10.1074/jbc.273.34.21790.PubMedView ArticleGoogle Scholar
- Yoshida S, Mears AJ, Friedman JS, Carter T, He S, Oh E, Jing Y, Farjo R, Fleury G, Barlow C, Hero AO, Swaroop A: Expression profiling of the developing and mature Nrl-/- mouse retina: identification of retinal disease candidates and transcriptional regulatory targets of Nrl. Hum Mol Genet. 2004, 13 (14): 1487-1503. 10.1093/hmg/ddh160.PubMedView ArticleGoogle Scholar
- Barragan I, Marcos I, Borrego S, Antinolo G: Mutation screening of three candidate genes, ELOVL5, SMAP1 and GLULD1 in autosomal recessive retinitis pigmentosa. Int J Mol Med. 2005, 16 (6): 1163-1167.PubMedGoogle Scholar
- Hoang E, Bost-Usinger L, Burnside B: Characterization of a novel C-kinesin (KIFC3) abundantly expressed in vertebrate retina and RPE. Exp Eye Res. 1999, 69 (1): 57-68. 10.1006/exer.1999.0671.PubMedView ArticleGoogle Scholar
- Maeda A, Ohguro H, Maeda T, Wada I, Sato N, Kuroki Y, Nakagawa T: Aberrant expression of photoreceptor-specific calcium-binding protein (recoverin) in cancer cell lines. Cancer Res. 2000, 60 (7): 1914-1920.PubMedGoogle Scholar
- Wiechmann A, Howard E: Functional analysis of the human recoverin gene promoter. Curr Eye Res. 2003, 26 (1): 25-32. 10.1076/ceyr.188.8.131.5249.PubMedView ArticleGoogle Scholar
- Li XF, Kraev AS, Lytton J: Molecular cloning of a fourth member of the potassium-dependent sodium-calcium exchanger gene family, NCKX4. J Biol Chem. 2002, 277 (50): 48410-48417. 10.1074/jbc.M210011200.PubMedView ArticleGoogle Scholar
- Sharon D, Yamamoto H, McGee TL, Rabe V, Szerencsei RT, Winkfein RJ, Prinsen CF, Barnes CS, Andreasson S, Fishman GA, Schnetkamp PP, Berson EL, Dryja TP: Mutated alleles of the rod and cone Na-Ca+K-exchanger genes in patients with retinal diseases. Invest Ophthalmol Vis Sci. 2002, 43 (6): 1971-1979.PubMedGoogle Scholar
- Frith MC, Ponjavic J, Fredman D, Kai C, Kawai J, Carninci P, Hayashizaki Y, Sandelin A: Evolutionary turnover of mammalian transcription start sites. Genome Res. 2006, 16 (6): 713-722. 10.1101/gr.5031006.PubMed CentralPubMedView ArticleGoogle Scholar
- King DC, Taylor J, Elnitski L, Chiaromonte F, Miller W, Hardison RC: Evaluation of regulatory potential and conservation scores for detecting cis-regulatory modules in aligned mammalian genome sequences. Genome Res. 2005, 15 (8): 1051-1060. 10.1101/gr.3642605.PubMed CentralPubMedView ArticleGoogle Scholar
- Dike S, Balija VS, Nascimento LU, Xuan Z, Ou J, Zutavern T, Palmer LE, Hannon G, Zhang MQ, McCombie WR: The mouse genome: experimental examination of gene predictions and transcriptional start sites. Genome Res. 2004, 14 (12): 2424-2429. 10.1101/gr.3158304.PubMed CentralPubMedView ArticleGoogle Scholar
- Oyama M, Itagaki C, Hata H, Suzuki Y, Izumi T, Natsume T, Isobe T, Sugano S: Analysis of small human proteins reveals the translation of upstream open reading frames of mRNAs. Genome Res. 2004, 14 (10B): 2048-2052. 10.1101/gr.2384604.PubMed CentralPubMedView ArticleGoogle Scholar
- Rogozin IB, Kochetov AV, Kondrashov FA, Koonin EV, Milanesi L: Presence of ATG triplets in 5' untranslated regions of eukaryotic cDNAs correlates with a 'weak' context of the start codon. Bioinformatics. 2001, 17 (10): 890-900. 10.1093/bioinformatics/17.10.890.PubMedView ArticleGoogle Scholar
- Sachs MS, Geballe AP: Downstream control of upstream open reading frames. Genes Dev. 2006, 20 (8): 915-921. 10.1101/gad.1427006.PubMedView ArticleGoogle Scholar
- Hochheimer A, Tjian R: Diversified transcription initiation complexes expand promoter selectivity and tissue-specific gene expression. Genes Dev. 2003, 17 (11): 1309-1320. 10.1101/gad.1099903.PubMedView ArticleGoogle Scholar
- Zhang T, Haws P, Wu Q: Multiple variable first exons: a mechanism for cell- and tissue-specific gene regulation. Genome Res. 2004, 14 (1): 79-89. 10.1101/gr.1225204.PubMed CentralPubMedView ArticleGoogle Scholar
- Bortoluzzi S, Coppe A, Bisognin A, Pizzi C, Danieli GA: A multistep bioinformatic approach detects putative regulatory elements in gene promoters. BMC Bioinformatics. 2005, 6: 121-10.1186/1471-2105-6-121.PubMed CentralPubMedView ArticleGoogle Scholar
- Halees AS, Leyfer D, Weng Z: PromoSer: A large-scale mammalian promoter and transcription start site identification service. Nucleic Acids Res. 2003, 31 (13): 3554-3559. 10.1093/nar/gkg549.PubMed CentralPubMedView ArticleGoogle Scholar
- Eukaryotic Promoter Database Current Release 87. [http://www.epd.isb-sib.ch]
- DBTSS. [http://dbtss.hgc.jp]
- Kent WJ: BLAT--the BLAST-like alignment tool. Genome Res. 2002, 12 (4): 656-664. 10.1101/gr.229202. Article published online before March 2002.PubMed CentralPubMedView ArticleGoogle Scholar
- AceView. [http://www.ncbi.nlm.nih.gov/IEB/Research/Acembly/]
- BioEdit pairwise and multiple alignments. [http://www.mbio.ncsu.edu/BioEdit/bioedit.html]
- Primer3. [http://frodo.wi.mit.edu/cgi-bin/primer3/primer3_www.cgi]