Table of Contents Author Guidelines Submit a Manuscript
BioMed Research International
Volume 2013, Article ID 517570, 15 pages
Clinical Study

Novel GUCA1A Mutations Suggesting Possible Mechanisms of Pathogenesis in Cone, Cone-Rod, and Macular Dystrophy Patients

1Department of Cellular Therapy and Regenerative Medicine, Andalusian Centre for Molecular Biology and Regenerative Medicine (CABIMER), ‘Isla Cartuja’, 41092 Seville, Spain
2Department of Genetics, IIS-Jiménez Díaz Foundation, 28040 Madrid, Spain
3Centre for Biomedical Network Research on Rare Diseases (CIBERER), ISCIII, 46010 Valencia, Spain
4Department of Ophthalmology, Hospital ‘Fundación Jiménez Díaz’, 28040 Madrid, Spain
5Department of Genetics, UCL-Institute of Ophthalmology, 11-43 Bath Street, London EC1V 9EL, UK

Received 18 April 2013; Accepted 19 June 2013

Academic Editor: Claudia Gragnoli

Copyright © 2013 Kunka Kamenarova et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Here, we report two novel GUCA1A (the gene for guanylate cyclase activating protein 1) mutations identified in unrelated Spanish families affected by autosomal dominant retinal degeneration (adRD) with cone and rod involvement. All patients from a three-generation adRD pedigree underwent detailed ophthalmic evaluation. Total genome scan using single-nucleotide polymorphisms and then the linkage analysis were undertaken on the pedigree. Haplotype analysis revealed a 55.37 Mb genomic interval cosegregating with the disease phenotype on chromosome 6p21.31-q15. Mutation screening of positional candidate genes found a heterozygous transition c.250C>T in exon 4 of GUCA1A, corresponding to a novel mutation p.L84F. A second missense mutation, c.320T>C (p.I107T), was detected by screening of the gene in a Spanish patients cohort. Using bioinformatics approach, we predicted that either haploinsufficiency or dominant-negative effect accompanied by creation of a novel function for the mutant protein is a possible mechanism of the disease due to c.250C>T and c.320T>C. Although additional functional studies are required, our data in relation to the c.250C>T mutation open the possibility that transacting factors binding to de novo created recognition site resulting in formation of aberrant splicing variant is a disease model which may be more widespread than previously recognized as a mechanism causing inherited RD.

1. Introduction

Autosomal dominant cone and cone-rod dystrophies (adCODs and adCORDs, resp.) are hereditary retinal disorders characterized by visual loss, abnormalities of color vision, visual field loss, and a variable degree of nystagmus and photophobia. CORDs are characterized by progressive loss of cone photoreceptor function followed by progressive loss of rod photoreceptor function and are often accompanied by retinal degeneration. In contrast, in inherited progressive CODs, only cone function is impaired, and retinal degeneration is often restricted to the central retina [1, 2].

COD and CORD are genetically heterogeneous disorders with phenotype caused by mutations in currently ten genes, including AIPL1, CRX, GUCA1A, GUCY2D, PITPNM3, PROM1, PRPH2/RDS, RIMS1, SEMA4A, and UNC119 ( Four loci (CORD4, RCD1, CORD12, and CORD17) with still unidentified genes have been also linked to adCOD and adCORD (

GUCA1A gene encodes one of three human guanylate cyclase-activating proteins (GCAPs), GCAP1, which is expressed in photoreceptors in the human retina, with stronger GCAP1 immunoreactivity in cones than in rods [12]. A hallmark of the GCAP structure is high affinity Ca2+-binding sites, called EF-hands, consisting of helix-loop-helix secondary structure that is able to chelate Ca2+ ions [13]. Excitation of the photoreceptor decreases the intracellular concentration of cyclic guanosine-3′,5′-monophosphate (cGMP) and Ca2+. GCAP1 works as a Ca2+-sensor protein that detects changes in Ca2+ concentration and stimulates membrane bound retinal guanylate cyclases (RetGCs) in a Ca2+-dependent manner. As a result, the cGMP level is restored [14]. Since its identification, ten disease-causing mutations in the GUCA1A gene have been reported to cause autosomal dominant COD, CORD, and macular dystrophy (adMD) in several unrelated families: p.P50L, p.E89K, p.Y99C, p.D100E, p.N104K, p.T114I, p.I143NT, p.L151F, p.E155G, and p.G159V [311] (Table 1).

Table 1: Mutation prediction for known and novel GUCA1A variations.

In recent years, the importance of aberrant splicing as a disease mechanism has changed from a situation in which this possibility was considered to be relatively rare and only relevant when one out of a few critical nucleotides in the splice sites consensus sequences at the exon/intron borders are changed to a situation where sequence variants in a gene may potentially disrupt splicing. Thus, in addition to the splice site sequences, other cis-regulatory elements which act as splicing enhancers (exonic and intronic, ESEs, and ISEs) or silencers (exonic and intronic, ESSs, and ISSs) and direct the splicing machinery to use the correct splice sites should be considered as important mutation spots [15]. The interactions between silencers, enhancers, and their cognate binding proteins play a critical role in the fidelity and regulation of pre-mRNA splicing [16]. To our knowledge, at least 10% of all mutations identified as causing human-inherited disease are known to alter consensus 5′- or 3′-splice sites, thereby inducing aberrant pre-mRNA splicing [17]. Although the mechanistic consequences of mutations on splice sites are fairly easy to interpret, evaluating precisely how inherited disease-causing mutations influence the loss or gain of ESE/ESS motifs remains challenging [18].

In this study, we report two Spanish families with an autosomal dominant retinal degeneration in which two novel GUCA1A mutations have been identified (Table 1). We investigated the relationship between the newly reported coding sequence mutation (c.250C>T) and splicing regulation using a set of bioinformatics techniques and predicted that ESE loss and ESS gain might be responsible for retinal dystrophy. Furthermore, we identified a range of retinal abnormalities within a single pedigree caused by novel GCAP1 p.L84F variation which is consistent with the broader phenotype associated with p.Y99C and p.P50L GUCA1A mutations [5, 19].

2. Materials and Methods

2.1. Clinical Assessment and Sample Collection

This study adhered to the tenets of the Declaration of Helsinki for research involving human subjects. A three-generation Spanish family with an autosomal dominant retinal dystrophy was ascertained (Figure 1(a)). Five affected and 9 unaffected individuals were recruited by the Hospital Fundación Jimenez Diaz, Madrid, Spain. After informed consent was obtained, each patient was assessed through a funduscopy, an optical coherence tomography (OCT) using macular cube scan (512 × 128 protocol), an electrooculogram (EOG), a full-field electroretinogram (ERG), and a multifocal ERG (mfERG) using standard electrophysiologic methods. Peripheral blood was obtained by venipuncture, and genomic DNA was extracted from lymphocytes according to standard protocols [20].

Figure 1: Identification of GUCA1A mutations in two Spanish pedigrees. (a), (d) Pedigrees of two unrelated families affected by adRD. Individuals are identified by pedigree number. Squares indicate males, circles indicate females, slashed symbols indicate deceased, solid symbols indicate affected individuals, open symbols indicate unaffected individuals, and arrow indicates the proband. In (a), pedigree of the Family 141 is shown with haplotypes of STR markers spanning the linked interval on chromosome 6. Markers and their physical positions (Mb) are indicated at the left of each row. Ten members indicated with asterisks were genotyped by SNP markers. C/C indicates two copies of wild-type GUCA1A, and C/T indicates one copy of wild-type and one copy of mutant GUCA1A. In (d), T/C indicates one copy of wild-type and one copy of mutant GUCA1A found in the proband III:2 in Family 387. (b), (e) Sequencing chromatograms showing the comparison of DNA sequences of normal control (top) to the heterozygous C-to-T transition in exon 4 of GUCA1A (bottom) resulting in a leucine-to-phenylalanine change (p.L84F; GenBank accession number JQ924784) at position 250 (b) and to the heterozygous T-to-C transition in exon 4 of GUCA1A (bottom) resulting in a isoleucine-to-threonine change (p.I107T; GenBank accession number JQ924785) at position 320 (e). These mutations segregated with the disease phenotype and were not found in 200 normal controls. (c) Restriction fragment length analysis confirmed the c.250C>T mutation showing that the transition from C to T results in the loss of restriction site of SmlI. Wild-type samples produced two fragments of 276 bp and 241 bp, while the restriction target site (5′-CTCAAG-3′) in exon 4 of GUCA1A was destroyed by the mutation. Analyzed individuals are identified by pedigree number, bp: base pair, and M: 100 bp DNA ladder. (f) Multiple amino acid alignment of known vertebrate showing the evolutionary conservation of guanylate cyclase-activating proteins (only the region containing EF2 and EF3 are shown). Amino acid residues are colored according to the similarity of their physicochemical properties. The conserved 12-amino-acids Ca2+-binding loop of EF3 is highlighted in grey. The two mutations occurring in high conserved amino acid region across the species are localized next to EF2 (p.L84F) and within EF3 (p.I107T). (g) The region comprising the exonic splicing enhancer (ESE) and silencer (ESS) motifs in the wild type (WT) exon 4 is compared to the corresponding region in the mutant (250T) exon 4 of GUCA1A. The SF2/ASF binding ESE as well as two ESS recognition sites for hnRNP I (ESS1) and SRp20 (ESS2) are depicted. In the context of GUCA1A exon 4, we have hypothesized that a binding ESE is disrupted in the case of 250T allele and thus the antagonizing function of SF2/ASF is abolished. Instead, cryptic ESS sites for binding of hnRNP I and SRp20 exon inclusion suppressors are activated which results in exon 4 skipping. The strengthened motif TCTT binding hnRNP I is indicated in dark red. c.C250T substitution is depicted by underlying of the nucleotide. (h) Cartoon representation of chicken Gcap1 (PDB ID: 2R2I) with the Ca2+ binding EFhands rendered by VMD software. Residues affected by mutation in the human orthologue are colored in red for Leu84 (corresponding to Leu83 in chicken Gcap1) and green for Ile107 (corresponding to Ile106 in chicken Gcap1).

A cohort of 61 unrelated Spanish patients clinically diagnosed with COD, CORD, or MD and family history consistent with an autosomal dominant mode of inheritance were additionally screened for mutations in GUCA1A gene.

In addition, 200 randomly selected DNA samples (400 chromosomes) from healthy control individuals obtained from the European Collection of Cell Cultures (Human Random Control DNA Panels, ECACC, Salisbury, UK) were analyzed to assess the frequency of sequence changes in the normal population.

2.2. Genotyping and Linkage Analysis

Genotyping of 10 members of the Spanish pedigree (Family 141, Figure 1(a)) was performed with 262,264 single nucleotide polymorphisms (SNPs) from the Affymetrix Gene Chip Mapping 250K Nsp Array (AROS Applied Biotechnologies, Aarhus, Denmark). LOD scores were calculated for the markers by multipoint linkage analysis using Genehunter program in the easyLINKAGE Plus package v5.08 [21]. The call rate, defined as the percentage of successful genotype calls among subjects, was used as a measure of data quality. The results reported in this study are based on 95% call rate. Uninformative SNPs were removed from the data by Merlin [22]. We modeled the disease as an autosomal dominant trait with 100% penetrance.

All regions with suggestive LOD scores (>1.5) were additionally saturated with microsatellite (STR) markers designed according to the information obtained from Marshfield, GDB Human Genome Database ( and Ensembl genome data resources ( Multiplex microsatellite genotyping of all available family members (Figure 1(a)) was performed with 3–5 markers per reaction using QPCR mix (ABgene, UK). Data collection and allele identification were performed using GeneScan and GeneMapper v4.0 software (Applied Biosystems Incorporated, Foster City, CA, USA).

2.3. Mutation Screening

Sequence analysis of the coding exons and intron-exon junctions of candidate genes within the critical interval, IMPG1, ELOVL4, RDS, GUCA1A, and RIMS1, was performed on ABI3730xl genetic analyser (Applied Biosystems Incorporated, Foster City, CA, USA) according to the manufacturer’s protocol. Novel nucleotide sequences were compared to the published cDNA sequence according to the human genome build 37 (hg19, 2009).

2.4. Restriction Enzyme Analysis

To confirm the presence of c.250C>T variant, exon 4 of the human GUCA1A gene was directly amplified from genomic DNA. A sample of genomic DNA (100 ng) from patients and healthy individuals was used in a 20 μL reaction mixture containing 0.5 μM of forward (5′ GTCTAGGAAGACAGATAGGTC 3′) and reverse (5′ CAAGGAAGGGAAGGAACGTG 3′) primers, 20 μM of each dNTP, 1× PCR buffer, and 1 U of MyTaq DNA polymerase (Bioline, London, UK). After an initial denaturation of 95°C for 5 min, 30 cycles were performed at 95°C for 30 s, 62°C for 20 s, and 72°C for 50 s, with a final extension step of 72°C for 5 min. The PCR products (517 base pairs length) were digested with SmlI according to the manufacturer’s instructions (New England BioLabs, Beverly, MA, USA) and separated by electrophoresis in a 3% agarose gel.

2.5. Mutation Prediction and In Silico Analyses of ESE and ESS Motifs

Prediction of the possible effect of an amino acid substitution on the structure and function of the human protein was performed with the following software tools. PolyPhen-2 ( generates a different scale of reported scores, where a score of 0–0.2 is considered “benign,” 0.2–0.85 is “possibly damaging,” and 0.85–1.0 is “probably damaging” [23]. PSIPRED ( is a secondary structure prediction method with a 80% accuracy according to the (CASP Critical Assessment of Structure Prediction techniques) contents [24], incorporating two feed-forward neural networks which perform an analysis on output obtained from PSI-BLAST (Position-Specific Iterated-BLAST) [25]. Computer programs, Human Splicing Finder 2.4.1 ( [26] and ESEfinder 3.0 ( [27], were used for prediction of ESE and ESS motifs present in the wild-type or mutant GUCA1A exon 4 sequence. Alternative Splicing Database (ASD), Splicing Rainbow ( [28], and the ESRsearch web server ( [29] were utilized for searching of both ESE and ESS putative elements indicated by the RESCUE-ESE [30], FAS-ESS [31], and (PESX Putative Exonic Splicing Enhancers/Silencers) [32] servers.

2.6. Protein Structure Modeling

Chicken (Gallus gallus) orthologue Gcap1 (PDB ID: 2R2I) was modeled using Visual Molecular Dynamics (VMD) software ( [33].

3. Results

3.1. Clinical Evaluation of Patients

Clinical evaluation including fundus photography and electrophysiology was performed in a three-generation Spanish pedigree with autosomal dominant retinal degeneration with cone and rod involvement (Family 141, Figure 1(a)). All affected individuals complained of very early loss of central vision within the first two decades (between age of 2 and 17 years), with subsequent gradual deterioration of the color vision and mild photophobia. There was no evidence of nystagmus. Clinical characteristics of patients are summarized in Tables 2 and 3. Funduscopy revealed a range of macular phenotypes, from normal or mild changes to severe macular atrophy (Figures 2(a)2(j)). This variation was not related to the age of the subjects. Despite the normal fundus appearance in patient III:1, OCT scans showed that the macular region was abnormally thin. However, retinal layers at the macular area were still well conserved in this subject (Figure 3(a)). Instead, the affected mother (subject II:1) clearly presented disorganization of the retinal layers at the macular region, and reduction in the retinal thickness also appeared (Figure 3(b)). In the presence of common genotype, electrophysiologic examination of the patients detected intrafamilial variability of the phenotype involved either the cones only or both cone and rod systems with photopic amplitudes more markedly reduced than the scotopic (Figure 4). The oldest subject (individual I:1) had bilaterally undetectable cone response and subnormal rod ERGs (Figure 4(b)), indicating a cone-rod phenotype with severe loss of macular function (Figure 5(b)). Patients II:1, III:1, and III:4 all presented from moderate (III:4) to significantly reduced (II:1 and III:1) cone ERGs and normal rod responses on full-field ERG (Figures 4(c), 4(e), and 4(f)), suggestive of cone dysfunction. Additional evidence for macular dysfunction is presented as detected by mfERG (Figure 5(d)) and OCT imaging (Figure 3). In patient II:3, the full-field cone and rod ERGs were normal in both eyes (Figure 4(d)), but the mfERG showed decreased central amplitudes reflecting the macular dysfunction (Figure 5(c)); findings are consistent with isolated severe bilateral macular degeneration and resulted in a loss of the central vision. No abnormalities were observed in the EOGs in any patient (Table 2). All affected individuals studied in detail were later found to carry the p.L84F GUCA1A mutation.

Table 2: Phenotypic characteristics and electrophysiological data of patients with GUCA1A mutations.
Table 3: Quantitative measurements of ERG findings.
Figure 2: Color fundus photographs of both eyes of patients carrying the mutation p.L84F in GUCA1A. (a), (b) Patient I:1 (75 y). Fundus photographs showing an evident disc pallor and arteriolar attenuation, area of macular atrophy with pigment migration, choriocapillaris atrophy surrounded this area, and the optic disc bilaterally. (c), (d) Patient II:1 (53 y). Fundus photographs showing bilateral temporal disc pallor, mild arteriolar attenuation, and bull’s eye pattern of maculopathy. (e), (f) Patient II:3 (47 y). Funduscopy showing mild temporal disc pallor, normal vessels, and perifoveal retinal pigment epithelium (RPE) alterations bilaterally. (g), (h) and (i), (j) Patients III:1 (25 y) and III:4 (12 y), respectively, presenting normal fundi.
Figure 3: Optical coherence tomography (OCT) macular cube 512   128 scan showing macular thickness in individuals III:1 (a) and II:1 (b). For each scan, top left: fundus image with scan cube overlay. Top right: macular thickness significance map. The central innermost 1-mm-diameter circle represents the central subfield; inner superior, inner nasal, inner inferior, and inner temporal areas bounded by the 3-mm-diameter circle form the inner macula; outer superior, outer nasal, outer inferior, and outer temporal areas bounded by the 6-mm-diameter circle form the outer macula. Retinal thickness values from ILM to RPE are compared to the normative data. Middle and bottom left: cross-sectional OCT scans. Middle right: 3D surface maps: the ILM-RPE, displaying the retinal thickness in three dimensions, the ILM, which appears normal in the two patients, and the RPE, which is altered in II:1. Bottom right: central subfield thickness, overall average macular thickness, and overall macular volume compared to normative data are displayed in table format. Reduction in the retinal thickness and macular atrophy of all retinal layers occurs in patient II:1. Abnormally thin macular region appears even in patient III:1 before obvious ophthalmoscopic changes. ILM: inner limiting membrane; RPE: retinal pigment epithelium.
Figure 4: Right eye flash electroretinograms (ERGs) in patients I:1 (b), II:1 (c), II:3 (d), III:1 (e), and III:4 (f), carrying the mutation p.L84F, in comparison with ERG of a representative control subject (a). Dark-adapted ERGs are shown for flash intensities of 0.01 and 3.0 cd·s/m2; light-adapted ERGs and 30 Hz flicker ERGs are shown for a flash intensity of 3.0 cd·s/m2. The electrophysiological findings are consistent with cone-rod dystrophy with absent photopic response and decreased scotopic response in subject I:1 (b) or cone dystrophy showing photopic ERG with decreased photopic amplitudes in patients II:1, III:1, and III:4 ((c), (e), and (f)). Despite the progressive loss of visual acuity observed in individual II:3, photopic ERG shows normal amplitudes (d). Implicit time of the scotopic response was normal whereas delayed photopic responses were observed in all patients.
Figure 5: Right eye multifocal ERG (mfERG) in individuals I:1 (b), II:3 (c), and III:4 (d) compared with mfERG of a representative control subject (a). mfERG records reduced to nonrecordable central function. The ring analysis (see schematic) goes from the center to the periphery. Quantitative results of mfERG analyses are displayed in table format.
3.2. Genotyping and Linkage Analysis

Five affected and nine unaffected subjects of the Spanish family (Figure 1(a)) were genotyped with Affymetrix 250K SNP microarray, and genome-wide linkage analysis was used to search for cosegregation of the markers with the disease phenotype. Parametric multipoint analysis using Genehunter revealed a 55.37 Mb genomic interval between rs2894403 (35,507,179 bp) and rs2474618 (90,876,844 bp) with a maximum likelihood odds ratio score of 2.98 at a recombination fraction 0.0 suggestive for linkage. Secondary peaks generating LOD score of 2.11 were observed for five different intervals on chromosomes 1, 7, 11, 12, and 16. Consequently, additional densely spaced microsatellite markers spanning these regions were used and haplotypes were constructed. Nonsegregation of STR-haplotypes within the family allowed exclusion of all intervals except the interval located on chromosome 6 which could not be further refined. Affected individuals shared a common haplotype tested with microsatellite markers spanning the linked region and generating maximum LOD score of 2.10 at (Figure 1(a)).

3.3. Mutation Analysis

According to Ensembl human genome database, the 55.37 Mb critical interval on chromosome 6p21.31-q15 included 295 known genes among which were previously described retinal degeneration genes. Positional candidate genes were IMPG1 and ELOVL4, mutations in which cause adMD [34, 35]; as well as RDS, GUCA1A, and RIMS1, implicated in autosomal dominant COD and CORD [9, 36, 37]. By direct sequencing of the coding exons and intron-exon junctions of the candidate genes, we found only known polymorphisms except a novel heterozygous substitution c.250C>T in GUCA1A, replacing leucine with phenylalanine at amino acid residue 84 (Figure 1(b)). Segregation analysis showed that the novel mutation (p.L84F) co-segregated with the disease in the pedigree (Figure 1(a)), but it was not detected in 200 unrelated normal controls. This variant was not reported in public sequence repositories (including the 1000 Genomes Project database,

A restriction fragment length analysis confirmed the c.250C>T mutation showing that the transition from C (wt) to T (mutation) results in loss of SmlI restriction site. Wild-type samples produced two fragments of 276 bp and 241 bp, while the restriction target site (5′-CTCAAG-3′) in exon 4 of GUCA1A was destroyed by the mutation (Figure 1(c)).

A second missense mutation c.320T>C (p.I107T), in exon 4 of GUCA1A, was found in an index case (Family 387, individual III:2) after screening a cohort of 61 patients (Figures 1(d) and 1(e)). No DNA was available from other family members for testing of the cosegregation, but a family history of adRD was reported (Family 387, Figure 1(d)). Moreover, the variant was not found in 400 chromosomes from ethnically matched control individuals and was novel according to 1000 Genomes Project data. The clinical findings in this family were very similar to the complex phenotype of Family 141 associated with the p.L84F GCAP1 mutation, and major hallmarks are summarized in Table 2.

3.4. Mutation Prediction

Both missense mutations, p.L84F and p.I107T (GenBank accession numbers JQ924784 and JQ924785, resp.), were located in amino acid residues well conserved across different species (Figures 1(f) and 1(h)). By PolyPhen-2 and PSIPRED programs, we further compared the predicted consequences on protein secondary structure of all reported GCAP1 mutations, p.P50L [3], p.E89K [4], p.Y99C [6], p.D100E [4], p.N104K [7], p.T114I, p.I143NT [8], p.L151F [9, 10], p.E155G [11], and p.G159V [4], as well as of the two novel changes, p.L84F and p.I107T. PolyPhen-2 predicted a “probably damaging” effect for the two mutations, with scores of 0.999 and 1.0, respectively (Table 1). PSIPRED correctly predicted protein secondary structure change in all 10 mutations known to cause reduction of retinal guanylate cyclase-1 (RetGC1) activity [311] and also for the new variant p.I107T (Table 1). Multiple changes of the protein topology including shortening and/or increasing of α-helices and coil stretches (caused by the mutations p.P50L, p.E89K, p.Y99C, p.D100E, p.N104K, p.I107T, p.T114I, p.I143NT, p.L151F, p.E155G, and p.G159V), as well as formation of novel β-strands of 2-3 amino acids (caused by the mutations p.P50L, p.E89K, p.Y99C, p.D100E, p.I143NT, p.L151F, p.E155G, and p.G159V) were predicted. Interestingly, PSIPRED predicted structural change for p.I107T at four locations. 12 amino acid α-helix (residues 88–99, equivalent to EF3) was shortened by two amino acids, 11 amino acid α-helix (residues 132–142, equivalent to EF4) was increased by one amino acid, 7 amino acid α-helix (residues 176–182) was increased by one amino acid, and C-terminal 9 amino acid α-helix (residues 191–199) was broken into two by one-residue coil at position 193 (data not shown). No structural alterations of the encoded protein were predicted for c.250C>T (p.L84F) suggesting different mechanism of pathogenesis.

We hypothesized that the c.250C>T mutation could function by disrupting a splicing enhancer and/or by the creation of a splicing silencer because recognition of splice sites can either be assisted by splicing enhancers or suppressed by splicing silencers. Therefore, we scanned the wild-type and c.250C>T mutant GUCA1A exon 4 sequence for ESEs and ESSs using different web-based programs. The results generated by ESEfinder 3.0 program indicated that the 250T nucleotide abolishes SF2/ASF binding motif (CTCAAGG) (Figure 1(g)). An overlapping SC35 binding motif (GGTCCTCA) is also disrupted, while a second SC35 binding site (GTCCTCAA>GTCTTCAA) is not affected by the mutation, but its score has been decreased from 3.572 to 3.341 (Table 4). Although Human Splicing Finder calculates the score according to a different algorithm [26], the two analyses gave similar results.

Table 4: ESEfinder 3.0 analyses of the wild-type and c.250C>T mutant exon 4 of GUCA1A.

The ASD and ESRsearch programs identified that both ESE (which promotes exon inclusion) and ESS (which removes identified exon from the final product) elements present on GUCA1A exon 4. These programs confirmed the loss of SF2/ASF ESE site (CTCAAGG) caused by the mutant allele. In addition, the c.250C>T mutation creates a new ESS site for binding of SRp20 (GTCTTCAAG) and strengthens the binding motif of the transacting splicing repressor hnRNP I (CTTGGTCCTC>CTTGGTCTTC). ESRsearch program predicted the mutant TCTTC motif as a gain of novel hnRNP I binding ESS (Figure 1(g)).

4. Discussion

In this study, we identified a three-generation Spanish pedigree representing intrafamilial heterogeneity of retinal degeneration with cone and rod involvement. The clinical observations revealed a range of retinal abnormalities, including isolated macular dysfunction, cone dystrophy and cone-rod dystrophy—findings very similar to previous descriptions of the mixed phenotype associated with p.P50L and p.Y99C GCAP1 mutation [5, 19]. The very early onset of visual loss and the fast progression of the retinal dystrophy in the presented family contribute to the wide variability of phenotypes associated with GCAP1 mutations. Combined with previous studies, our findings support the hypothesis of additional modifying factors (genetic and environmental) involvement, which are responsible for the modulation of the phenotype in patients harboring the same GUCA1A mutation [5].

Linkage to the GUCA1A locus was identified, and two novel missense mutations, p.L84F and p.I107T, predicting different mechanisms of pathogenesis were found in exon 4 of the GCAP1 coding gene (Figures 1(a)–1(e)). The Ile107 residue is located in a phylogenetically conserved motif within the functional EF3 hand domain of the guanylate cyclase-activating protein 1 (Figures 1(f) and 1(h)). The result of PSIPRED analysis suggested that the novel p.I107T mutation led to secondary structure changes affecting EF3, EF4, and two C-terminal α-helices which may interfere with the correct folding of the two helix-loop-helix Ca2+-binding hands. A number of missense mutations associated with either loss or gain of function and producing COD, CORD, and MD dominant phenotypes have been already discovered. By using PSIPRED, we predicted that each of these mutations (p.P50L, p.E89K, p.Y99C, p.D100E, p.N104K, p.T114I, p.I143NT, p.L151F, p.E155G, and p.G159V) specifically alter the conformation of the protein which is essential for the Ca2+ binding (Table 1).

The p.I107T mutation represents the second naturally occurring mutation in the 12-amino-acid-loop of the third GCAP1 EF hand. Previously, a mutation (p.N104K) affecting the Ca2+-binding loop of EF3 has been found to be causative for adCOD [7]. It has been also reported that a mutation of a residue flanking EF3 (p.Y99C) disrupts the N-terminal helix of the helix-loop-helix conformation of EF3, severely affecting Ca2+ binding at this site [6]. Another pathogenic mutation of a flanking hydrophobic residue (p.I143NT) was observed in EF4, emphasizing the importance of an intact N-terminal helix for Ca2+ binding [8]. Other mutations linked to cone dystrophy (p.E155G and p.L151F) affect exclusively Ca2+ coordination in EF4 [911]. Common biochemical effect of the mutations affecting one of the functional EF hands consists of the inability of the mutant GCAPs to inhibit photoreceptor GC in the dark when Ca2+ is elevated [38]. The result is that cGMP levels are elevated in mutant photoreceptors and a larger number of cation channels remain open, which eventually leads to elevated Ca2+ concentration and to photoreceptor cell death [39]. Taken together, all this data and the fact that the mutation is of the missense type suggest similar functional consequence of p.I107T, and the mechanism of disease causation should be considered as either loss or gain of function that affects calcium homeostasis within the photoreceptor outer segment.

The mutation p.L84F is located in another phylogenetically conserved motif flanking the functional EF2 hand (Figures 1(f) and 1(h)). Although PolyPhen-2 predicted probably damaging effect for this mutation, no conformational changes of the mutant protein were shown by PSIPRED program (Table 1). Therefore, we used a set of computational approaches to determine if this substitution alters specific cis-acting elements that are important for correct splicing, such as ESEs and ESSs, and acts at an earlier RNA level.

Two of the major factors in establishing exon identity are serine- and arginine-rich proteins (SR proteins), among which are SF2/ASF and SC35, and the heterogeneous nuclear ribonucleoproteins (hnRNPs) [15]. SR proteins promote the initial stages of spliceosome assembly by binding to ESEs and recruiting basal splicing factors to adjacent splice sites or by antagonizing the effects of ESS elements [40]. In contrast, hnRNPs member among which is hnRNP I (also known as polypyrimidine tract-binding protein, PTB), mediate the repressive effects of silencers and can alter recruitment of the core splicing machinery [41]. Surprisingly, since SR proteins are typically thought to promote exon inclusion, it has been demonstrated that interactions between SRp20, PTB, and other hnRNPs create an exon silencing complex that promotes exon skipping and cause inherited disease [42].

Our in silico analyses of exon 4-wild type and mutant sequence indicated that naturally occurring SF2/ASF (splicing factor 2/alternative splicing factor) ESE motif (CTCAAGG) was abolished (SF2/ASF: 250C score = 2.216, threshold = 1.956) suggesting that this heptamer might be essential to distinguish a functional exon and its disruption results in loss of activity. In addition, it was shown that the c.250C>T mutation disrupted (SC35: 250C score = 3.059, threshold = 2.383) a binding ESE motif (GGTCCTCA) and weakened (SC35: 250C score = 3.572, 250T score = 3.341, and threshold = 2.383) a second recognition site for the RNA-binding protein SC35 (GTCCTCAA>GTCTTCAA) (Table 4). A search for potential splicing silencer regulatory elements within the GUCA1A exon 4 showed that the 250T allele created a new ESS site (GTCTTCAAG) for binding of SRp20 which is not present with 250C and strengthened another binding motif (TCCT>TCTT) for hnRNP I/PTB (Figure 1(g)), both designated as exon silencer partners by Sterne-Weiler and coauthors [42]. It has been shown that the loss of an ESE consensus motif for SF2/ASF can cause human-inherited disease [43]. There are many other examples for disease-associated mutations that alter splicing enhancers or silencers and promote exon skipping, which support our findings [42, 4448]. Similarly, disease-causing mutations in introns that cause missplicing by inducing the inclusion of intronic sequences as exons (pseudoexon inclusion) and function by strengthening of preexisting weak pseudosplice sites or by creating new splice sites have been discovered [4951].

Based on this data, we concluded that the c.250C>T mutation may function by disruption of SF2/ASF and SC35 binding ESEs and activation of cryptic ESS sites (for binding of hnRNP I and SRp20) which promotes in-frame skipping of exon 4 from the spliced mRNA. Thus, the expected consequence of this mutation is production of aberrant transcript that, if translated, would encode a truncated (50 amino acids shorter) protein copy suggesting either gain of function or haploinsufficiency with cone cells predominantly affected because of the higher concentrations of RetGC1 and GCAP1 in cone photoreceptors.

5. Conclusions

In conclusion, we suggest that mutation associated with disruption of ESE and activation of ESS cis-elements can be applied to photoreceptor degeneration. Importantly, this means that similar molecular mechanism may cause retinal degeneration much more frequently than reported for aberrant spliced mRNA so far.

However, because of their predictive nature, these findings need to be validated with experimental evidences in order to see the real impact of the reported missense mutations on the structure and conformation of GCAP1.

Conflict of Interests

The authors report no conflict of interests. The authors alone are responsible for the content and writing of the paper.


This work was supported by grants from Fundacíon Progreso y Salud (Project no. 113.GI02.0.0000), FIS PI09/90047, FIS PI09/00459, RD09/0076/00101 (Retics Biobank), Fundaluce and CIBERER, Spain, Foundation Fighting Blindness, USA, the NIHR funded BRC for Ophthalmology, and Moorfields Eye Hospital, London. The authors thank the Spanish patients and their families for taking part in this research and would also like to thank Dr. Fiona Blanco-Kelly, Dr. Juan de Dios García Díaz, Esther Martin, and Maria Belen Benavides for their contributions to this work.


  1. C. P. Hamel, “Cone rod dystrophies,” Orphanet Journal of Rare Diseases, vol. 2, no. 1, article 7, 2007. View at Publisher · View at Google Scholar · View at Scopus
  2. M. Michaelides, A. J. Hardcastle, D. M. Hunt, and A. T. Moore, “Progressive cone and cone-rod dystrophies: phenotypes and underlying molecular genetic basis,” Survey of Ophthalmology, vol. 51, no. 3, pp. 232–258, 2006. View at Publisher · View at Google Scholar · View at Scopus
  3. S. M. Downes, A. M. Payne, R. E. Kelsell et al., “Autosomal dominant cone-rod dystrophy with mutations in the guanylate cyclase 2D gene encoding retinal guanylate cyclase-1,” Archives of Ophthalmology, vol. 119, no. 11, pp. 1667–1673, 2001. View at Google Scholar · View at Scopus
  4. V. B. D. Kitiratschky, P. Behnen, U. Kellner et al., “Mutations in the GUCA1A gene involved in hereditary cone dystrophies impair calcium-mediated regulation of guanylate cyclase,” Human Mutation, vol. 30, no. 8, pp. E782–E796, 2009. View at Publisher · View at Google Scholar · View at Scopus
  5. M. Michaelides, S. E. Wilkie, S. Jenkins et al., “Mutation in the gene GUCA1A, encoding guanylate cyclase-activating protein 1, causes cone, cone-rod, and macular dystrophy,” Ophthalmology, vol. 112, no. 8, pp. 1442–1447, 2005. View at Publisher · View at Google Scholar · View at Scopus
  6. A. M. Payne, S. M. Downes, D. A. R. Bessant et al., “A mutation in guanylate cyclase activator 1A(GUCA1A) in an autosomal dominant cone dystrophy pedigree mapping to a new locus on chromosome 6p21.1,” Human Molecular Genetics, vol. 7, no. 2, pp. 273–277, 1998. View at Publisher · View at Google Scholar · View at Scopus
  7. L. Jiang, D. Wheaton, G. Bereta et al., “A novel GCAP1(N104K) mutation in EF-hand 3 (EF3) linked to autosomal dominant cone dystrophy,” Vision Research, vol. 48, no. 23-24, pp. 2425–2432, 2008. View at Publisher · View at Google Scholar · View at Scopus
  8. K. M. Nishiguchi, I. Sokal, L. Yang et al., “A novel mutation (I143NT) in guanylate cyclase-activating protein 1 (GCAP1) associated with autosomal dominant cone degeneration,” Investigative Ophthalmology and Visual Science, vol. 45, no. 11, pp. 3863–3870, 2004. View at Publisher · View at Google Scholar · View at Scopus
  9. L. Jiang, B. J. Katz, Z. Yang et al., “Autosomal dominant cone dystrophy caused by a novel mutation in the GCAP1 gene (GUCA1A),” Molecular Vision, vol. 11, pp. 143–151, 2005. View at Google Scholar · View at Scopus
  10. I. Sokal, W. J. Dupps, M. A. Grassi et al., “A novel GCAP1 missense mutation (L151F) in a large family with autosomal dominant cone-rod dystrophy (adCORD),” Investigative Ophthalmology and Visual Science, vol. 46, no. 4, pp. 1124–1132, 2005. View at Publisher · View at Google Scholar · View at Scopus
  11. S. E. Wilkie, Y. Li, E. C. Deery et al., “Identification and functional consequences of a new mutation (E155G) in the gene for GCAP1 that causes autosomal dominant cone dystrophy,” American Journal of Human Genetics, vol. 69, no. 3, pp. 471–480, 2001. View at Publisher · View at Google Scholar · View at Scopus
  12. N. Cuenca, S. Lopez, K. Howes, and H. Kolb, “The localization of guanylyl cylase-activating proteins in the mammalian retina,” Investigative Ophthalmology and Visual Science, vol. 39, no. 7, pp. 1243–1250, 1998. View at Google Scholar · View at Scopus
  13. J. J. Falke, S. K. Drake, A. L. Hazard, and O. B. Peersen, “Molecular tuning of ion binding to calcium signaling proteins,” Quarterly Reviews of Biophysics, vol. 27, no. 3, pp. 219–290, 1994. View at Google Scholar · View at Scopus
  14. K. Palczewski, I. Sokal, and W. Baehr, “Guanylate cyclase-activating proteins: structure, function, and diversity,” Biochemical and Biophysical Research Communications, vol. 322, no. 4, pp. 1123–1130, 2004. View at Publisher · View at Google Scholar · View at Scopus
  15. L. Cartegni, S. L. Chew, and A. R. Krainer, “Listening to silence and understanding nonsense: exonic mutations that affect splicing,” Nature Reviews Genetics, vol. 3, no. 4, pp. 285–298, 2002. View at Publisher · View at Google Scholar · View at Scopus
  16. I. C. Eperon, O. V. Makarova, A. Mayeda et al., “Selection of alternative 5' splice sites: role of U1 snRNP and models for the antagonistic effects of SF2/ASF and hnRNP A1,” Molecular and Cellular Biology, vol. 20, no. 22, pp. 8303–8318, 2000. View at Publisher · View at Google Scholar · View at Scopus
  17. M. Krawczak, N. S. T. Thomas, B. Hundrieser et al., “Single base-pair substitutions in exon-intron junctions of human genes: nature, distribution, and consequences for mRNA splicing,” Human Mutation, vol. 28, no. 2, pp. 150–158, 2007. View at Publisher · View at Google Scholar · View at Scopus
  18. F. Pagani and F. E. Baralle, “Genomic variants in exons and introns: identifying the splicing spoilers,” Nature Reviews Genetics, vol. 5, no. 5, pp. 389–396, 2004. View at Publisher · View at Google Scholar · View at Scopus
  19. S. M. Downes, G. E. Holder, F. W. Fitzke et al., “Autosomal dominant cone and cone-rod dystrophy with mutations in the guanylate cyclase activator 1A gene-encoding guanylate cyclase activating protein-1,” Archives of Ophthalmology, vol. 119, no. 1, pp. 96–105, 2001. View at Google Scholar · View at Scopus
  20. S. A. Miller, D. D. Dykes, and H. F. Polesky, “A simple salting out procedure for extracting DNA from human nucleated cells,” Nucleic Acids Research, vol. 16, no. 3, p. 1215, 1988. View at Publisher · View at Google Scholar · View at Scopus
  21. K. Hoffmann and T. H. Lindner, “easyLINKAGE-Plus—automated linkage analyses using large-scale SNP data,” Bioinformatics, vol. 21, no. 17, pp. 3565–3567, 2005. View at Publisher · View at Google Scholar · View at Scopus
  22. G. R. Abecasis, S. S. Cherny, W. O. Cookson, and L. R. Cardon, “Merlin—rapid analysis of dense genetic maps using sparse gene flow trees,” Nature Genetics, vol. 30, no. 1, pp. 97–101, 2002. View at Publisher · View at Google Scholar · View at Scopus
  23. I. A. Adzhubei, S. Schmidt, L. Peshkin et al., “A method and server for predicting damaging missense mutations,” Nature Methods, vol. 7, no. 4, pp. 248–249, 2010. View at Publisher · View at Google Scholar · View at Scopus
  24. E. Faraggi, T. Zhang, Y. Yang, L. Kurgan, and Y. Zhou, “SPINE X: improving protein secondary structure prediction by multistep learning coupled with prediction of solvent accessible surface area and backbone torsion angles,” Journal of Computational Chemistry, vol. 33, no. 3, pp. 259–267, 2012. View at Publisher · View at Google Scholar · View at Scopus
  25. L. J. McGuffin, K. Bryson, and D. T. Jones, “The PSIPRED protein structure prediction server,” Bioinformatics, vol. 16, no. 4, pp. 404–405, 2000. View at Google Scholar · View at Scopus
  26. F. Desmet, D. Hamroun, M. Lalande, G. Collod-Bëroud, M. Claustres, and C. Béroud, “Human Splicing Finder: an online bioinformatics tool to predict splicing signals,” Nucleic Acids Research, vol. 37, no. 9, article e67, 2009. View at Publisher · View at Google Scholar · View at Scopus
  27. L. Cartegni, J. Wang, Z. Zhu, M. Q. Zhang, and A. R. Krainer, “ESEfinder: a web resource to identify exonic splicing enhancers,” Nucleic Acids Research, vol. 31, no. 13, pp. 3568–3571, 2003. View at Publisher · View at Google Scholar · View at Scopus
  28. S. Stamm, J. Riethoven, V. Le Texier et al., “ASD: a bioinformatics resource on alternative splicing.,” Nucleic Acids Research, vol. 34, pp. D46–D55, 2006. View at Google Scholar · View at Scopus
  29. A. Goren, O. Ram, M. Amit et al., “Comparative analysis identifies exonic splicing regulatory sequences-the complex definition of enhancers and silencers,” Molecular Cell, vol. 22, no. 6, pp. 769–781, 2006. View at Publisher · View at Google Scholar · View at Scopus
  30. W. G. Fairbrother, G. W. Yeo, R. Yeh et al., “RESCUE-ESE identifies candidate exonic splicing enhancers in vertebrate exons,” Nucleic Acids Research, vol. 32, pp. W187–W190, 2004. View at Publisher · View at Google Scholar · View at Scopus
  31. Z. Wang, M. E. Rolish, G. Yeo, V. Tung, M. Mawson, and C. B. Burge, “Systematic identification and analysis of exonic splicing silencers,” Cell, vol. 119, no. 6, pp. 831–845, 2004. View at Publisher · View at Google Scholar · View at Scopus
  32. X. H.-F. Zhang, T. Kangsamaksin, M. S. P. Chao, J. K. Banerjee, and L. A. Chasin, “Exon inclusion is dependent on predictable exonic splicing enhancers,” Molecular and Cellular Biology, vol. 25, no. 16, pp. 7323–7332, 2005. View at Publisher · View at Google Scholar · View at Scopus
  33. W. Humphrey, A. Dalke, and K. Schulten, “VMD: visual molecular dynamics,” Journal of Molecular Graphics, vol. 14, no. 1, pp. 33–38, 1996. View at Publisher · View at Google Scholar · View at Scopus
  34. J. J. C. Van Lith-Verhoeven, C. B. Hoyng, B. Van Den Helm et al., “The benign concentric annular macular dystrophy locus maps to 6p12.3-q16,” Investigative Ophthalmology and Visual Science, vol. 45, no. 1, pp. 30–35, 2004. View at Publisher · View at Google Scholar · View at Scopus
  35. K. Zhang, M. Kniazeva, M. Han et al., “A 5-bp deletion in ELOVL4 is associated with two related forms of autosomal dominant macular dystrophy,” Nature Genetics, vol. 27, no. 1, pp. 89–93, 2001. View at Publisher · View at Google Scholar · View at Scopus
  36. M. Nakazawa, E. Kikawa, Y. Chida, and M. Tamai, “Asn244His mutation of the peripherin/RDS gene causing autosomal dominant cone-rod degeneration,” Human Molecular Genetics, vol. 3, no. 7, pp. 1195–1196, 1994. View at Google Scholar · View at Scopus
  37. S. Johnson, S. Halford, A. G. Morris et al., “Genomic organisation and alternative splicing of human RIM1, a gene implicated in autosomal dominant cone-rod dystrophy (CORD7),” Genomics, vol. 81, no. 3, pp. 304–314, 2003. View at Publisher · View at Google Scholar · View at Scopus
  38. A. M. Dizhoor, S. G. Boikov, and E. V. Olshevskaya, “Constitutive activation of photoreceptor guanylate cyclase by Y99C mutant of GCAP-1. Possible role in causing human autosomal dominant cone degeneration,” The Journal of Biological Chemistry, vol. 273, no. 28, pp. 17311–17314, 1998. View at Publisher · View at Google Scholar · View at Scopus
  39. E. V. Olshevskaya, P. D. Calvert, M. L. Woodruff et al., “The Y99C mutation in guanylyl cyclase-activating protein 1 increases intracellular Ca2+ and causes photoreceptor degeneration in transgenic mice,” Journal of Neuroscience, vol. 24, no. 27, pp. 6078–6085, 2004. View at Publisher · View at Google Scholar · View at Scopus
  40. J. Zhu, A. Mayeda, and A. R. Krainer, “Exon identity established through differential antagonism between exonic splicing silencer-bound hnRNP A1 and enhancer-bound SR proteins,” Molecular Cell, vol. 8, no. 6, pp. 1351–1361, 2001. View at Publisher · View at Google Scholar · View at Scopus
  41. Y. Yu, P. A. Maroney, J. A. Denker et al., “Dynamic regulation of alternative splicing by silencers that modulate 5' splice site competition,” Cell, vol. 135, no. 7, pp. 1224–1236, 2008. View at Publisher · View at Google Scholar · View at Scopus
  42. T. Sterne-Weiler, J. Howard, M. Mort, D. N. Cooper, and J. R. Sanford, “Loss of exon identity is a common mechanism of human inherited disease,” Genome Research, vol. 21, no. 10, pp. 1563–1571, 2011. View at Publisher · View at Google Scholar · View at Scopus
  43. J. R. Sanford, X. Wang, M. Mort et al., “Splicing factor SFRS1 recognizes a functionally diverse landscape of RNA transcripts,” Genome Research, vol. 19, no. 3, pp. 381–394, 2009. View at Publisher · View at Google Scholar · View at Scopus
  44. C. L. Lorson, E. Hahnen, E. J. Androphy, and B. Wirth, “A single nucleotide in the SMN gene regulates splicing and is responsible for spinal muscular atrophy,” Proceedings of the National Academy of Sciences of the United States of America, vol. 96, no. 11, pp. 6307–6311, 1999. View at Publisher · View at Google Scholar · View at Scopus
  45. S. McVety, L. Li, P. H. Gordon, G. Chong, and W. D. Foulkes, “Disruption of an exon splicing enhancer in exon 3 of MLH1 is the cause of HNPCC in a Quebec family,” Journal of Medical Genetics, vol. 43, no. 2, pp. 153–156, 2006. View at Publisher · View at Google Scholar · View at Scopus
  46. K. B. Nielsen, S. Sørensen, L. Cartegni et al., “Seemingly neutral polymorphic variants may confer immunity to splicing-inactivating mutations: a synonymous SNP in exon 5 of MCAD protects from deleterious mutations in a flanking exonic splicing enhancer,” American Journal of Human Genetics, vol. 80, no. 3, pp. 416–432, 2007. View at Publisher · View at Google Scholar · View at Scopus
  47. F. Pagani, C. Stuani, M. Tzetis et al., “New type of disease causing mutations: the example of the composite exonic regulatory elements of splicing in CFTR exon 12,” Human Molecular Genetics, vol. 12, no. 10, pp. 1111–1120, 2003. View at Publisher · View at Google Scholar · View at Scopus
  48. T. Koed Doktor, L. D. Schroeder, A. Vested et al., “SMN2 exon 7 splicing is inhibited by binding of hnRNP A1 to a common ESS motif that spans the 3' splice site,” Human Mutation, vol. 32, no. 2, pp. 220–230, 2011. View at Publisher · View at Google Scholar · View at Scopus
  49. E. Buratti, M. Baralle, and F. E. Baralle, “Defective splicing, disease and therapy: searching for master checkpoints in exon definition.,” Nucleic Acids Research, vol. 34, no. 12, pp. 3494–3510, 2006. View at Google Scholar · View at Scopus
  50. R. L. Davis, V. M. Homer, P. M. George, and S. O. Brennan, “A deep intronic mutation in FGB creates a consensus exonic splicing enhancer motif that results in afibrinogenemia caused by aberrant mRNA splicing, which can be corrected in vitro with antisense oligonucleotide treatment,” Human Mutation, vol. 30, no. 2, pp. 221–227, 2009. View at Publisher · View at Google Scholar · View at Scopus
  51. K. Homolova, P. Zavadakova, T. K. Doktor, L. D. Schroeder, V. Kozich, and B. S. Andresen, “The deep intronic c.903+469T > C mutation in the MTRR gene creates an SF2/ASF binding exonic splicing enhancer, which leads to pseudoexon activation and causes the cblE type of homocystinuria,” Human Mutation, vol. 31, no. 4, pp. 437–444, 2010. View at Publisher · View at Google Scholar · View at Scopus