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Original InvestigationGenetics

Evaluation of Suspected Autosomal Alport Syndrome Synonymous Variants

Rini Rossanti, Tomoko Horinouchi, Tomohiko Yamamura, China Nagano, Nana Sakakibara, Shinya Ishiko, Yuya Aoto, Atsushi Kondo, Sadayuki Nagai, Eri Okada, Shingo Ishimori, Hiroaki Nagase, Satoshi Matsui, Keiichi Tamagaki, Yoshifumi Ubara, Masahiko Nagahama, Yuko Shima, Koichi Nakanishi, Takeshi Ninchoji, Masafumi Matsuo, Kazumoto Iijima and Kandai Nozu
Kidney360 March 2022, 3 (3) 497-505; DOI: https://doi.org/10.34067/KID.0005252021
Rini Rossanti
1Department of Pediatrics, Kobe University Graduate School of Medicine, Kobe, Japan
2Department of Child Health, Nephrology Division, Dr. Hasan Sadikin General Hospital/Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
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Tomoko Horinouchi
1Department of Pediatrics, Kobe University Graduate School of Medicine, Kobe, Japan
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Tomohiko Yamamura
1Department of Pediatrics, Kobe University Graduate School of Medicine, Kobe, Japan
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China Nagano
1Department of Pediatrics, Kobe University Graduate School of Medicine, Kobe, Japan
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Nana Sakakibara
1Department of Pediatrics, Kobe University Graduate School of Medicine, Kobe, Japan
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Shinya Ishiko
1Department of Pediatrics, Kobe University Graduate School of Medicine, Kobe, Japan
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Yuya Aoto
1Department of Pediatrics, Kobe University Graduate School of Medicine, Kobe, Japan
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Atsushi Kondo
1Department of Pediatrics, Kobe University Graduate School of Medicine, Kobe, Japan
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Sadayuki Nagai
1Department of Pediatrics, Kobe University Graduate School of Medicine, Kobe, Japan
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Eri Okada
1Department of Pediatrics, Kobe University Graduate School of Medicine, Kobe, Japan
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Shingo Ishimori
1Department of Pediatrics, Kobe University Graduate School of Medicine, Kobe, Japan
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Hiroaki Nagase
1Department of Pediatrics, Kobe University Graduate School of Medicine, Kobe, Japan
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Satoshi Matsui
3Department of Nephrology and Hypertension, Mitsubishi Kyoto Hospital, Kyoto, Japan
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Keiichi Tamagaki
4Department of Nephrology, Kyoto Prefectural University of Medicine, Kyoto, Japan
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Yoshifumi Ubara
5Nephrology Center, Okinaka Memorial Institute for Medical Research, Tokyo, Japan
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Masahiko Nagahama
6Internal Medicine, St. Luke’s International Hospital, Tokyo, Japan
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Yuko Shima
7Department of Pediatrics, Wakayama Medical University, Wakayama, Japan
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Koichi Nakanishi
8Department of Child Health and Welfare (Pediatrics), Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
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Takeshi Ninchoji
1Department of Pediatrics, Kobe University Graduate School of Medicine, Kobe, Japan
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Masafumi Matsuo
9Research Center for Locomotion Biology, Kobe Gakuin University, Kobe, Japan
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Kazumoto Iijima
10Hyogo Prefectural Kobe Children’s Hospital, Kobe, Japan
11Department of Advanced Pediatric Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
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Kandai Nozu
1Department of Pediatrics, Kobe University Graduate School of Medicine, Kobe, Japan
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Key Points

  • Mutations registered in the database for autosomal Alport syndrome do not include synonymous variants.

  • Certain synonymous variants can affect pre-mRNA splicing, and transcript analysis should be carried out to evaluate synonymous variants.

  • Our in vivo and in vitro splicing assays showed that two of the four synonymous variants cause exon skipping.

Abstract

Background Alport syndrome is an inherited disorder characterized by progressive renal disease, variable sensorineural hearing loss, and ocular abnormalities. Although many pathogenic variants in COL4A3 and COL4A4 have been identified in patients with autosomal Alport syndrome, synonymous mutations in these genes have rarely been identified.

Methods We conducted in silico splicing analysis using Human Splicing Finder (HSF) and Alamut to predict splicing domain strength and disruption of the sites. Furthermore, we performed in vitro splicing assays using minigene constructs and mRNA analysis of patient samples to determine the pathogenicity of four synonymous variants detected in four patients with suspected autosomal dominant Alport syndrome (COL4A3 [c.693G>A (p.Val231=)] and COL4A4 [c.1353C>T (p.Gly451=), c.735G>A (p.Pro245=), and c.870G>A (p.Lys290=)]).

Results Both in vivo and in vitro splicing assays showed exon skipping in two out of the four synonymous variants identified (c.735G>A and c.870G>A in COL4A4). Prediction analysis of wild-type and mutated COL4A4 sequences using HSF and Alamut suggested these two variants may lead to the loss of binding sites for several splicing factors, e.g., in acceptor sites and exonic splicing enhancers. The other two variants did not induce aberrant splicing.

Conclusions This study highlights the pitfalls of classifying the functional consequences of variants by a simple approach. Certain synonymous variants, although they do not alter the amino acid sequence of the encoded protein, can dramatically affect pre-mRNA splicing, as shown in two of our patients. Our findings indicate that transcript analysis should be carried out to evaluate synonymous variants detected in patients with autosomal dominant Alport syndrome.

  • genetics
  • Alport syndrome
  • basic science
  • COL4A3
  • COL4A4
  • silent mutation
  • splicing assay
  • synonymous variant

Introduction

Alport syndrome is an inherited disorder characterized by progressive renal disease, variable sensorineural hearing loss, and ocular abnormalities (1). This disease arises from pathogenic variants in COL4A3, COL4A4, or COL4A5, the protein products of which are involved in the synthesis, assembly, deposition, and function of collagen IV α345, which is one of the most important components of the glomerular basement membrane (2).

A pathogenic variant in COL4A5 causes X-linked Alport syndrome (XLAS) because this gene is located on the X chromosome. In contrast, mutations in COL4A3 or COL4A4 are transmitted autosomally. Heterozygous variants in COL4A3 or COL4A4 are associated with autosomal dominant Alport syndrome (ADAS), and mutations in both the alleles of COL4A3 or COL4A4 cause autosomal recessive Alport syndrome (ARAS) (3,4).

Female patients with XLAS exhibit milder symptoms than male patients (5,6), whereas renal failure, hearing loss, and ocular abnormalities are equally common in men and women with ARAS (3,7). Kidney damage appears to progress more slowly in ADAS than in XLAS or ARAS and is associated with a wide range of phenotypes (3). The frequency of inheritance of XLAS, ADAS, and ARAS has been calculated to be 80%, 5%, and 15%, respectively (8,9). However, we have recently reported a prevalence of XLAS, ADAS, and ARAS of 74%, 17%, and 9%, respectively, in a Japanese cohort (10), indicating that the prevalence of ADAS is higher than previously reported. Furthermore, we have observed patients with suspected Alport syndrome, and pathogenic variants cannot be detected by next-generation sequencing (NGS) panel analysis in approximately 12% of these patients (10).

Numerous variants identified in COL4A3 (222 variants; NM_000091.4) and COL4A4 (163 variants; NM_000092.4; http://www.hgmd.cf.ac.uk/ac/index.php) in ARAS or ADAS, including splice site variants, have been registered in the Human Gene Mutation Database. However, none of these variants are synonymous variants.

Single-nucleotide variants (SNVs) are the most common variants in the human genome (11). Approximately 10,000 variants in the coding regions of the human genome that do not affect the resulting product protein sequence, termed synonymous SNVs (sSNVs), have been identified (12). It is generally believed that the effect of sSNVs on the molecular functioning of genes/proteins is minimal. Nonetheless, earlier studies have suggested that sSNVs can be as pathogenic as nonsynonymous variants and that they are associated with 1% of human diseases (13). sSNVs can disrupt transcription (14), splicing (15), cotranslational folding (16), mRNA stability (17), and cause various functionally relevant changes (18). mRNA splicing is the main predictive feature in some prediction tools (18).

sSNVs can affect exonic splicing enhancers (ESEs) or exonic splicing silencers (ESSs), which are short DNA sequence motifs that promote or suppress the splicing of pre-mRNA by binding to SR proteins (proteins with long serine and arginine repeats) (19). In addition, sSNVs can alter the pre-mRNA affinity for spliceosomes and initiate false identification of exon-intron boundaries, resulting in the production of abnormal mRNAs and dysfunctional proteins (20). Among these mechanisms, pre-mRNA splicing is the most important, and mRNA expression analysis is necessary to assess pre-mRNA splicing in patients, but this is often difficult because of the fragility and/or low expression of pre-mRNA in accessible samples. Previously, we reported that splicing assessment using a minigene construct is useful in patients with XLAS harboring sSNVs (21), but its usefulness in those with ADAS has not yet been established. In this study, we evaluated four patients suspected of having Alport syndrome and harboring synonymous COL4A3 or COL4A4 variants via in vivo and in vitro splicing assays.

Materials and Methods

Patient Characteristics

Patient 1 was a 45-year-old female who was diagnosed with proteinuria (2 g/g creatinine [Cr]) and hearing loss. Because she had no hematuria, the possibility of Alport syndrome was considered to be low. However, a renal biopsy revealed a thin basement membrane. Moreover, family history assessment revealed that her mother had CKD along with proteinuria and hematuria. Therefore, we conducted a genetic analysis of COL4A3 and COL4A4. At the time of the genetic analysis, her kidney function was normal. Immunofluorescence staining for type IV collagen α5 (α5[IV]) could not be conducted.

Patient 2 was a 35-year-old female who was diagnosed with proteinuria and hematuria at the age of 24 years (1.7 g/g Cr), but she had normal hearing and kidney functions. Pathologic findings indicated a thin basement membrane with normal α5(IV) expression in the glomerular basement membrane and Bowman’s capsule. In addition, deposition of IgA-predominant Ig and a mild increase in mesangial matrix were observed. Although these findings suggested a diagnosis of IgA nephropathy, genetic testing was performed to exclude Alport syndrome.

Patient 3 was a 66-year-old male who was diagnosed with proteinuria (0.5 g/g Cr) and hematuria at the age of 50 years. He had no hearing loss. His eGFR was 60 ml/min per 1.73 m2. Pathologic findings revealed glomerulosclerosis. His father was on hemodialysis. Immunofluorescence staining for α5(IV) could not be conducted. Although it was very difficult to make the diagnosis of Alport syndrome on the basis of pathologic findings, his family history suggested a possibility of Alport syndrome; therefore, he was referred to our hospital for genetic testing.

Patient 4 was a 43-year-old female with (occasional gross) hematuria and proteinuria since childhood. Her family medical history revealed that her father had received hemodialysis at the age of 56 years. In addition, her brothers, sisters, and grandmother were undergoing hemodialysis. The pathologic findings revealed a thin basement membrane with lamellation and normal α5(IV) staining.

Compliance with Ethical Standards

Research Involving Human Participants

All procedures involving human participants in this study were performed in accordance with the ethical standards of the Institutional Review Board (IRB) of Kobe University Graduate School of Medicine (IRB approval number 301) and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

Informed Consent

Informed consent was obtained from the parents of the patients or the patients who participated in the study.

Genomic DNA Analysis

Genomic DNA was isolated from patients’ peripheral blood leukocytes using the QuickGene-Mini80 System or QuickGene-Auto 12S (Kurabo Industries Ltd., Tokyo, Japan), according to the manufacturer’s instructions. NGS samples were prepared using the HaloPlex Target Enrichment System (Agilent Technologies, Santa Clara, CA), following the manufacturer’s instructions. COL4A3, COL4A4, COL4A5, and other podocyte-related genes were sequenced using the MiSeq NGS platform (Illumina, San Diego, CA). Variant calling was carried out using SureCall 4.0 software (Agilent Technologies).

mRNA Analysis

The total RNA was extracted from peripheral blood leukocytes using the RiboPure Kit (Thermo Fisher Scientific) and reverse transcribed into cDNA using ReverTra Ace-α- (Toyobo, Osaka, Japan). The cDNA was amplified in 35 reaction cycles using primers designed to target variants in COL4A3 or COL4A4 (Supplemental Table 1). The PCR products were subjected to agarose gel analysis.

In Vitro Splicing Assay

An H492 vector, previously developed in our laboratory, was used to create hybrid minigene constructs (22,23). The vector is based on the pcDNA3 mammalian expression vector (Invitrogen, Carlsbad, OR) to mimic in vivo splicing. We amplified genomic DNA from peripheral leukocytes of patients and controls to create hybrid minigenes using primers for the target variants in COL4A3 and COL4A4, which were designed complementarily to the ends of the linearized vector using the primer design tool In-Fusion (HD Cloning Kit; Takara, Shiga, Japan). This enabled cloning of the PCR products into the multiple cloning site of the vector, located within an intron between exons A and B. We cloned introns 19–21 of COL4A4 from patient 1, introns 11–14 of COL4A3 from patient 2, introns 11 and 12 of COL4A4 from patient 3, and introns 12–15 of COL4A4 from patient 4.

We used an in-fusion cloning reaction, and the constructs were transfected into HEK293T and HeLa cells using Lipofectamine 2000 (Thermo Fisher Scientific). Twenty-four hours later, the total RNA was extracted from the cells using the RNeasy Plus Mini Kit (Qiagen, Hilden, Germany). One microgram of total RNA was reverse transcribed using the RNA to cDNA EcoDry Premix (Double Primed; Takara) and PCRs were run using a forward primer complementary to a segment upstream of exon A (YH307, 5′-ATTACTCGCTCAGAAGCTGTGTTGC-3′) and a reverse primer complementary to a segment downstream of exon B (Y308, 5′-CTGCCAGTTGCTAAGTGAGAGACTT-3′) to amplify only transcripts from each minigene. The PCR products were analyzed by electrophoresis on a 1.5% agarose gel, followed by Sanger sequencing.

In Silico Splicing Assay

We predicted splicing domain strength using Human Splicing Finder (HSF; http://www.umd.be/HSF3/HSF.shtml) and a commercial software package Alamut (Interactive Biosoftware, Rouen, France).

Results

sSNVs Detected by NGS

Three heterozygous sSNVs in COL4A4 were found in three patients (patient 1, c.1353C>T [p.Gly451=]; patient 3, c.735G>A [p.Pro245=]; and patient 4, c.870G>A [p.Lys290=]). One patient harbored heterozygous sSNVs in COL4A3 (patient 2, c.693 G>A [p.Val231=]; Table 1, Supplemental Figure 1). No other pathogenic variants causing Alport syndrome–like clinical or pathologic findings were detected. The classification of variants, based on that of the American College of Medical Genetics and Genomics (ACMG) (24), is listed in the Supplemental Table 3.

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Table 1.

Patient clinical characteristics and variant sites

mRNA Analysis of Patients’ Peripheral Blood Leukocytes

We found only normal transcripts in patients 1 and 2. Aberrant splicing in the form of exon skipping was detected in patients 3 and 4 (Figure 1, Table 2, Supplemental Figure 2).

Figure 1.
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Figure 1.

Transcript analysis of four synonymous single-nucleotide variants detected in patients with suspected autosomal dominant Alport syndrome revealed aberrant splicing in the form of exon skipping in patients 3 and 4. Control samples yielded larger bands, corresponding with the full-length product of the minigene construct, whereas patient samples yielded shorter bands due to a synonymous single-nucleotide variant causing exon skipping. Ct, control; M, marker; Mt, mutant; Pt, patient; WT, wild-type.

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Table 2.

Splicing assay results and variant effects on splicing motifs as assessed by Human Splicing Finder

In Vitro Splicing Assay

Aberrant minigene splicing in the form of exon skipping was revealed in two out of four patients (patients 3 and 4; Figure 1, Table 2, Supplemental Figure 3).

In Silico Splicing Assay

HSF predicted aberrant splicing in patients 1, 3, and 4, on the basis of a high variation score for the donor/acceptor site. ESE according to ESE finder matrices was predicted to be broken in all variants (Table 2, Supplemental Figure 4). In silico analysis by Alamut revealed all variants disrupt the donor/acceptor site with a possibility of exon skipping (Supplemental Figure 5).

Discussion

To the best of our knowledge, this is the first study to evaluate the pathogenicity of sSNVs in four patients with suspected ADAS by in vivo, in vitro, and in silico splicing analyses. All patients harbored sSNVs only in COL4A3 or COL4A4; we did not detect any variants that may cause Alport syndrome–like clinical or pathologic findings, such as variants in LAMB2, LMX1B, PAX2, or MYH9. Several studies on Alport syndrome have investigated nonsynonymous variants, which cause changes in the amino acid sequence; however, it is important to study sSNVs because, although they do not affect the amino acid sequence, they may have several implications. Our results revealed that certain sSNVs can probably cause disease due to aberrant splicing.

Mature mRNA comprises only the coding sequence because introns are removed from the transcript during the splicing process (25). In most situations, adjacent pre-mRNA regulatory sequences, called ESEs or ESSs, influence splice site recognition and selection, which can have positive or negative effects on splice site utilization. ESEs largely mediate their effects as a binding site for trans-acting regulatory factors, which then recruit the splicing machinery small nuclear ribonucleoproteins subunits to the nearby splice site. ESEs are often bound by SR proteins (domain rich in alternating serine and arginine), whereas ESSs are typically bound by heterogeneous ribonucleoprotein (Supplemental Figure 6). Ultimately, whether a particular site is recognized by the spliceosome for inclusion of the adjacent exon in the mRNA product is determined by the sum of these multiple factors, which have positive and negative effects (Supplemental Figure 6) (26⇓–28). Variants within the cis consensus sequences may produce aberrant transcripts due to improper exon-intron recognition in the mRNA, inclusion of cryptic exons, loss of an exon fragment, inclusion of an intronic fragment, or exon skipping, as seen in patients 3 and 4 in this study.

Patient 3 displayed severe symptoms of decreased renal function and glomerulosclerosis at the age of 66 years. Patient 4 had had proteinuria since childhood, and pathologic findings revealed a thin basement membrane. Both patients harbored an sSNV at the last nucleotide of an exon (patient 3, c.735G>A in COL4A4 exon 12; patient 4, c.870G>A in COL4A4 exon 14). On the basis of in silico analysis, we found that these nucleotide substitutions caused disruption of the wild-type donor site and ESEs. ESEs have been reported to be under strong selection constraints up to 50–100 bp from the exon ends (29). It has been estimated that at least 4% of sSNVs are deleterious due to an effect on enhancer function (30). Although patients 3 and 4 harbored normal alleles in addition to heterozygous variants, in vivo mRNA analysis of patient 4 showed only a faint normal transcript band (Figure 1, Supplemental Figure 7), and we detected no normal transcript in patient 3. This finding can be explained by the tendency of PCR to easily amplify short sequences. Moreover, in-frame transcript stability and persistence may be another contributing factor, because only the (42-bp) exon 12–skipping fragment in patient 3 was amplified. The minigene transcript analysis results were concordant with the results of mRNA analysis of peripheral blood leukocytes, indicating the minigene system can be used as an alternative to in vivo splicing assays.

Pathogenicity could not be confirmed for the remaining two variants by in vivo or in vitro transcript analysis. Patient 1 had an sSNV, but in vivo and in vitro analyses showed no transcriptional abnormalities. This finding was consistent with the low in silico prediction score (66.17) for variants that may interfere with the 5′ splice site. This patient had hearing loss, asymptomatic proteinuria, but no hematuria. We believed these clinical signs were not indicative of Alport syndrome; however, review of a renal biopsy specimen revealed a thin basement membrane and her family history revealed CKD with hematuria and proteinuria, which compelled us to conduct genetic analysis. Because no abnormalities were found, Alport syndrome was excluded. Aberrant splicing was also not found in patient 2. The variant in patient 2 was predicted to interrupt the ESEs (31). Because this variant did not interfere with the potential splice site strength, the earliest assembly phase of the spliceosome, binding of the SF1/BBP protein or U2 auxiliary factor (U2AF) to the branch point site, and polypyrimidine tract would be well maintained and the 5′ and 3′ splice sites would be effectively recognized. The relative strength of a given splice site plays a crucial role in determining the final mRNA sequence (26). As for patient 2, IgA-predominant Ig deposition and mesangial matrix were observed and, therefore, a diagnosis of IgA nephropathy seemed likely. The in vivo and in vitro analyses of patients 1 and 2 did not suggest that the synonymous variant is the causative variant for Alport syndrome, but this confirms the certainty of our minigene analysis. Additional exon skipping was observed in the minigene transcript in the patient and the wild type (exon 21 skipping in patient 1) due to minigene overexpression, which is a limitation of this assay.

The importance of variants influencing splicing is being uncovered, and their possible role in genetic disease is gaining the attention of medical geneticists in clinical practice. Currently, analysis of the genomic DNA is the most common method used in laboratories. Yet, examining genomic DNA alone is not adequate to determine the pathogenicity in some situations. We can refer to the ACMG criteria and the results of in silico analyses using HSF and Alamut, but it is currently difficult to make a definitive diagnosis on the basis of these results alone. Because evidence of a damaging effect on the gene product is necessary, the easiest and most reliable approach is to analyze the patient’s RNA to detect splicing abnormalities. Nevertheless, owing to limited RNA sample availability (particularly specific tissue samples) and limitations in the use of these laboratory techniques, our present knowledge of splicing has not been routinely used in clinical practice (32). Therefore, the propagation of in vitro tools, such as those involving minigenes, is desirable.

One option is to use in silico prediction tools to filter out variants with a low possibility of being deleterious, reducing the number of candidate variants for further experimental validation (33). Our group previously reported that only about half of splicing patterns can be predicted using HSF (34). In this study, although HSF accurately predicted the splicing abnormality in our two patients, the results of patient 1 show that in silico analysis alone cannot be used an alternative to transcript analysis to determine pathogenicity. Other in silico tools are listed in Supplemental Table 2. Furthermore, it has not been determined whether the synonymous variant in this study can be reliably predicted by using those tools, which is one of the limitations of our study.

Patient 1 exhibited differential splicing patterns in HEK293T and HeLa cells, although the same minigene construct was used. The rules governing the inclusion of alternative exons in different cell types to generate protein diversity are complex and manifold. Several experiments have shown that additional information exists in short degenerate sequence motifs that lie both within and outside the exonic “splicing codes,” which interact with specific RNA-binding proteins to enhance or silence splicing. This splicing code can be interpreted differently in various cellular environments (35). In previous studies using a minigene assay of XLAS (34,36,37), HEK293T cells were used and yielded transcripts that were concordant with the in vivo analysis results. In this study, the results of the HEK293T cell–based minigene assay for patient 1 were similar to those of RNA sequencing. Despite being epithelial in origin, the biochemical machinery of HEK293T cells is capable of most of the post-translational folding and processing required to produce a functional and mature protein from a wide range of mammalian and nonmammalian nucleic acids (38), which explains why it is a popular choice among other cell lines for molecular studies.

In this study, we identified two novel sSNVs of COL4A4 that are pathogenic due to aberrant splicing in the form of exon skipping in four patients suspected of having Alport syndrome. To avoid missing disease variants, more patients with sSNVs should be examined, especially those that have variants that are predicted to have a high chance of splicing abnormalities.

Disclosures

T. Horinouchi reports receiving research funding from Otsuka Pharmaceutical Co. Ltd.; K. Iijima reports receiving research funding from Air Water Medical Inc., Astellas Pharma Inc., Eisai Co. Ltd., JCR Pharmaceutical Co. Ltd., Mochida Pharmaceutical Co. Ltd., Nihon Pharmaceutical Co. Ltd., Otsuka Pharmaceutical Co. Ltd., Shionogi & Co. Ltd., and Zenyaku Kogyo Co. Ltd.; receiving consulting fees from Astellas Pharma Inc., Boehringer Ingelheim, Kyowa Kirin Co. Ltd., Ono Pharmaceutical Co. Ltd., and Takeda Pharmaceutical Co.; receiving honoraria from Astellas Pharma Inc., Chugai Pharmaceutical Co. Ltd., Integrated Development Associates Co. Ltd., Kyowa Hakko Kirin Co. Ltd., Shionogi & Co. Ltd., and Zenyaku Kogyo Co. Ltd.; serving as a scientific advisor for, or member of, CJASN and Pediatric Nephrology (on the editorial board); receiving grant support from Daiichi Sankyo Co. Ltd.; and having consultancy agreements with JCR Pharmaceuticals Co. Ltd., Kyowa Hakko Kirin Co. Ltd., Ono Pharmaceutical Co. Ltd., Sanofi K.K., Takeda Pharmaceutical Co. Ltd., and Zenyaku Kogyo Co. Ltd. K. Iijima and K. Nozu report having filed a patent application for the development of antisense nucleotides for exon skipping therapy in Alport syndrome. M. Matsuo reports serving as an advisor to Daiichi Sankyo Co. Ltd. (Japan) and JCR Pharma Co. Ltd. (Japan), and being a research professor at the Nucleic Acid Drug Discovery Department that is financially supported by KNC Laboratories Co. Ltd. Inc. (Japan). K. Nakanishi reports receiving honoraria from Asahi Kasei Corporation, Astellas Pharma Inc., AstraZeneca, Chugai Pharmaceutical Co. Ltd., Daiichi Sankyo Co. Ltd., JCR Pharmaceuticals Co. Ltd., Kyowa Hakko Kirin Co. Ltd., Miyarisan Pharmaceutical Co. Ltd., Novartis Pharma K.K., Ono Pharmaceutical Co. Ltd., Sanofi K.K., Taisho Toyama Pharmaceutical Co., and Teijin Pharma Ltd.; and receiving research funding from Asahi Kasei Corporation, Astellas Pharma Inc., Chugai Pharmaceutical Co. Ltd., CSL Behring, Daiichi Sankyo Co. Ltd., JCR Pharmaceuticals Co. Ltd., MSD K.K., Otsuka Pharmaceutical Co. Ltd., Pfizer Inc., Sanofi K.K., and Shionogi & Co. Ltd. K. Nozu reports receiving lecture fees from Chugai Pharmaceutical Co. Ltd., Daiichi Sankyo Co. Ltd., Novartis Pharma Co. Ltd., and Sumitomo Dainippon Pharma Co. Ltd.; having patents and inventions with Daiichi Sankyo Pharmaceutical Company; receiving consulting fees from Kyowa Kirin Co. Ltd.; and receiving lecture fees from Novartis Pharmaceuticals Corporation. K. Tamagaki reports receiving research funding from Baxter International Inc., Chugai Pharmaceutical Co. Ltd., Daiichi Sankyo Co. Ltd., Eli Lilly Japan K.K., JMS Co. Ltd., Kissei Pharmaceutical Co. Ltd., Kyowa Hakko Kirin Co. Ltd., Merck & Co. Inc., Mitsubishi Tanabe Pharma Corporation, Nippon Boehringer Ingelheim Co. Ltd., Otsuka Pharmaceutical Co. Ltd., Sanofi K.K., Takeda Pharmaceutical Co. Ltd., Teijin Pharma Ltd., and Torii Pharmaceutical Co. Ltd. All remaining authors have nothing to disclose.

Funding

This study was supported by The Japan Foundation for Pediatric Research grant 19-002 (to T. Horinouchi) and Grants-in-Aid for Scientific Research (KAKENHI) from the Ministry of Education, Culture, Sports, Science and Technology of Japan under subject identifiers 20K16892 (to T. Horinouchi), 19K08726 (to K. Nozu), 19K17710 (to T. Yamamura), and 20H03698 (to K. Iijima).

Author Contributions

Y. Aoto, T. Horinouchi, K. Iijima, S. Ishiko, S. Ishimori, A. Kondo, S. Matsui, M. Nagahama, S. Nagai, C. Nagano, H. Nagase, K. Nakanishi, T. Ninchoji, K. Nozu, E. Okada, N. Sakakibara, Y. Shima, K. Tamagaki, Y. Ubara, and T. Yamamura were responsible for validation; Y. Aoto, S. Ishiko, S. Ishimori, A. Kondo, S. Nagai, C. Nagano, E. Okada, N. Sakakibara, and T. Yamamura were responsible for investigation; T. Horinouchi reviewed and edited the manuscript; T. Horinouchi, K. Iijima, and K. Nozu were responsible for funding acquisition; T. Horinouchi, M. Matsuo, K. Nozu, and R. Rossanti were responsible for methodology; T. Horinouchi, K. Nozu, and R. Rossanti conceptualized the study; K. Iijima, M. Matsuo, H. Nagase, K. Nakanishi, T. Ninchoji, K. Nozu, and Y. Shima provided supervision; S. Matsui, M. Nagahama, R. Rossanti, K. Tamagaki, and Y. Ubara were responsible for data curation; and R. Rossanti was responsible for formal analysis and wrote the original draft.

Supplemental Material

This article contains the following supplemental material online at http://kidney360.asnjournals.org/lookup/suppl/doi:10.34067/KID.0005252021/-/DCSupplemental.

Supplemental Figure 1. Sanger sequence of Alport synonymous cases.

Supplemental Figure 2. In vivo transcript sequence of 4 variants suspected ADAS.

Supplemental Figure 3. Minigene transcript sequence of 4 cases with suspected ADAS.

Supplemental Figure 4. Mutations’ effect prediction on splicing motifs by Human Splicing Finder (HSF).

Supplemental Figure 5. In silico prediction analysis by the Alamut.

Supplemental Figure 6. Molecular interactions in the early phase of spliceosome assembly.

Supplemental Figure 7. In vivo mRNA analysis form patient 4 using high-sensitivity DNA assay.

Supplemental Table 1. Primer Set for in vivo transcript PCR analysis.

Supplemental Table 2. ACMG* classification for synonymous COL4A3 and COL4A3 variants.

Supplemental Table 3. Summary of input, output, and interpretation of prediction scores for 5′ and 3′ splice site prediction.

  • Received August 11, 2021.
  • Accepted October 11, 2021.
  • Copyright © 2022 by the American Society of Nephrology

References

  1. ↵
    1. Kashtan CE,
    2. Michael AF
    : Alport syndrome. Kidney Int 50: 1445–1463, 1996 https://doi.org/10.1038/ki.1996.459
    OpenUrlCrossRefPubMed
  2. ↵
    1. Miner JH
    : The glomerular basement membrane. Exp Cell Res 318: 973–978, 2012 https://doi.org/10.1016/j.yexcr.2012.02.031
    OpenUrlCrossRefPubMed
  3. ↵
    1. Pescucci C,
    2. Mari F,
    3. Longo I,
    4. Vogiatzi P,
    5. Caselli R,
    6. Scala E,
    7. Abaterusso C,
    8. Gusmano R,
    9. Seri M,
    10. Miglietti N,
    11. Bresin E,
    12. Renieri A
    : Autosomal-dominant Alport syndrome: Natural history of a disease due to COL4A3 or COL4A4 gene. Kidney Int 65: 1598–1603, 2004 https://doi.org/10.1111/j.1523-1755.2004.00560.x
    OpenUrlCrossRefPubMed
  4. ↵
    1. Kashtan CE,
    2. Ding J,
    3. Garosi G,
    4. Heidet L,
    5. Massella L,
    6. Nakanishi K,
    7. Nozu K,
    8. Renieri A,
    9. Rheault M,
    10. Wang F,
    11. Gross O
    : Alport syndrome: A unified classification of genetic disorders of collagen IV α345: A position paper of the Alport Syndrome Classification Working Group. Kidney Int 93: 1045–1051, 2018 https://doi.org/10.1016/j.kint.2017.12.018
    OpenUrlCrossRefPubMed
  5. ↵
    1. Jais JP,
    2. Knebelmann B,
    3. Giatras I,
    4. De Marchi M,
    5. Rizzoni G,
    6. Renieri A,
    7. Weber M,
    8. Gross O,
    9. Netzer KO,
    10. Flinter F,
    11. Pirson Y,
    12. Dahan K,
    13. Wieslander J,
    14. Persson U,
    15. Tryggvason K,
    16. Martin P,
    17. Hertz JM,
    18. Schröder C,
    19. Sanak M,
    20. Carvalho MF,
    21. Saus J,
    22. Antignac C,
    23. Smeets H,
    24. Gubler MC
    : X-linked Alport syndrome: Natural history and genotype-phenotype correlations in girls and women belonging to 195 families: A “European Community Alport Syndrome Concerted Action” study. J Am Soc Nephrol 14: 2603–2610, 2003 https://doi.org/10.1097/01.ASN.0000090034.71205.74
    OpenUrlAbstract/FREE Full Text
  6. ↵
    1. Yamamura T,
    2. Nozu K,
    3. Fu XJ,
    4. Nozu Y,
    5. Ye MJ,
    6. Shono A,
    7. Yamanouchi S,
    8. Minamikawa S,
    9. Morisada N,
    10. Nakanishi K,
    11. Shima Y,
    12. Yoshikawa N,
    13. Ninchoji T,
    14. Morioka I,
    15. Kaito H,
    16. Iijima K
    : Natural history and genotype-phenotype correlation in female X-Linked Alport Syndrome. Kidney Int Rep 2: 850–855, 2017 https://doi.org/10.1016/j.ekir.2017.04.011
    OpenUrl
  7. ↵
    1. Mochizuki T,
    2. Lemmink HH,
    3. Mariyama M,
    4. Antignac C,
    5. Gubler M-C,
    6. Pirson Y,
    7. Verellen-Dumoulin C,
    8. Chan B,
    9. Schröder CH,
    10. Smeets HJ, et al
    : Identification of mutations in the α 3(IV) and α 4(IV) collagen genes in autosomal recessive Alport syndrome. Nat Genet 8: 77–81, 1994 https://doi.org/10.1038/ng0994-77
    OpenUrlCrossRefPubMed
  8. ↵
    1. Fallerini C,
    2. Dosa L,
    3. Tita R,
    4. Del Prete D,
    5. Feriozzi S,
    6. Gai G,
    7. Clementi M,
    8. La Manna A,
    9. Miglietti N,
    10. Mancini R,
    11. Mandrile G,
    12. Ghiggeri GM,
    13. Piaggio G,
    14. Brancati F,
    15. Diano L,
    16. Frate E,
    17. Pinciaroli AR,
    18. Giani M,
    19. Castorina P,
    20. Bresin E,
    21. Giachino D,
    22. De Marchi M,
    23. Mari F,
    24. Bruttini M,
    25. Renieri A,
    26. Ariani F
    : Unbiased next generation sequencing analysis confirms the existence of autosomal dominant Alport syndrome in a relevant fraction of cases. Clin Genet 86: 252–257, 2014 https://doi.org/10.1111/cge.12258
    OpenUrlCrossRefPubMed
  9. ↵
    1. Morinière V,
    2. Dahan K,
    3. Hilbert P,
    4. Lison M,
    5. Lebbah S,
    6. Topa A,
    7. Bole-Feysot C,
    8. Pruvost S,
    9. Nitschke P,
    10. Plaisier E,
    11. Knebelmann B,
    12. Macher MA,
    13. Noel LH,
    14. Gubler MC,
    15. Antignac C,
    16. Heidet L
    : Improving mutation screening in familial hematuric nephropathies through next generation sequencing. J Am Soc Nephrol 25: 2740–2751, 2014 https://doi.org/10.1681/ASN.2013080912
    OpenUrlAbstract/FREE Full Text
  10. ↵
    1. Yamamura T,
    2. Nozu K,
    3. Minamikawa S,
    4. Horinouchi T,
    5. Sakakibara N,
    6. Nagano C,
    7. Aoto Y,
    8. Ishiko S,
    9. Nakanishi K,
    10. Shima Y,
    11. Nagase H,
    12. Rossanti R,
    13. Ye MJ,
    14. Nozu Y,
    15. Ishimori S,
    16. Morisada N,
    17. Kaito H,
    18. Iijima K
    : Comparison between conventional and comprehensive sequencing approaches for genetic diagnosis of Alport syndrome. Mol Genet Genomic Med 7: e883, 2019 https://doi.org/10.1002/mgg3.883
    OpenUrl
  11. ↵
    1. Bromberg Y,
    2. Kahn PC,
    3. Rost B
    : Neutral and weakly nonneutral sequence variants may define individuality. Proc Natl Acad Sci U S A 110: 14255–14260, 2013 https://doi.org/10.1073/pnas.1216613110
    OpenUrlAbstract/FREE Full Text
  12. ↵
    1. Shen H,
    2. Li J,
    3. Zhang J,
    4. Xu C,
    5. Jiang Y,
    6. Wu Z,
    7. Zhao F,
    8. Liao L,
    9. Chen J,
    10. Lin Y,
    11. Tian Q,
    12. Papasian CJ,
    13. Deng HW
    : Comprehensive characterization of human genome variation by high coverage whole-genome sequencing of forty four Caucasians. PLoS One 8: e59494, 2013 https://doi.org/10.1371/journal.pone.0059494
    OpenUrlCrossRef
  13. ↵
    1. Chen R,
    2. Davydov EV,
    3. Sirota M,
    4. Butte AJ
    : Non-synonymous and synonymous coding SNPs show similar likelihood and effect size of human disease association. PLoS One 5: e13574, 2010 https://doi.org/10.1371/journal.pone.0013574
    OpenUrlCrossRefPubMed
  14. ↵
    1. Stergachis AB,
    2. Haugen E,
    3. Shafer A,
    4. Fu W,
    5. Vernot B,
    6. Reynolds A,
    7. Raubitschek A,
    8. Ziegler S,
    9. LeProust EM,
    10. Akey JM,
    11. Stamatoyannopoulos JA
    : Exonic transcription factor binding directs codon choice and affects protein evolution. Science 342: 1367–1372, 2013 https://doi.org/10.1126/science.1243490
    OpenUrlAbstract/FREE Full Text
  15. ↵
    1. Fu XJ,
    2. Nozu K,
    3. Eguchi A,
    4. Nozu Y,
    5. Morisada N,
    6. Shono A,
    7. Taniguchi-Ikeda M,
    8. Shima Y,
    9. Nakanishi K,
    10. Vorechovsky I,
    11. Iijima K
    : X-linked Alport syndrome associated with a synonymous p.Gly292Gly mutation alters the splicing donor site of the type IV collagen alpha chain 5 gene. Clin Exp Nephrol 20: 699–702, 2016 https://doi.org/10.1007/s10157-015-1197-9
    OpenUrlPubMed
  16. ↵
    1. Pechmann S,
    2. Frydman J
    : Evolutionary conservation of codon optimality reveals hidden signatures of cotranslational folding. Nat Struct Mol Biol 20: 237–243, 2013 https://doi.org/10.1038/nsmb.2466
    OpenUrlCrossRefPubMed
  17. ↵
    1. Presnyak V,
    2. Alhusaini N,
    3. Chen YH,
    4. Martin S,
    5. Morris N,
    6. Kline N,
    7. Olson S,
    8. Weinberg D,
    9. Baker KE,
    10. Graveley BR,
    11. Coller J
    : Codon optimality is a major determinant of mRNA stability. Cell 160: 1111–1124, 2015 https://doi.org/10.1016/j.cell.2015.02.029
    OpenUrlCrossRefPubMed
  18. ↵
    1. Zeng Z,
    2. Bromberg Y
    : Predicting functional fffects of synonymous variants: A systematic review and perspectives. Front Genet 10: 914, 2019 https://doi.org/10.3389/fgene.2019.00914
    OpenUrlCrossRef
  19. ↵
    1. Wang Z,
    2. Burge CB
    : Splicing regulation: from a parts list of regulatory elements to an integrated splicing code. RNA 14: 802–813, 2008 https://doi.org/10.1261/rna.876308
    OpenUrlAbstract/FREE Full Text
  20. ↵
    1. Bali V,
    2. Bebok Z
    : Decoding mechanisms by which silent codon changes influence protein biogenesis and function. Int J Biochem Cell Biol 64: 58–74, 2015 https://doi.org/10.1016/j.biocel.2015.03.011
    OpenUrlCrossRefPubMed
  21. ↵
    1. Horinouchi T,
    2. Yamamura T,
    3. Minamikawa S,
    4. Nagano C,
    5. Sakakibara N,
    6. Nakanishi K,
    7. Shima Y,
    8. Morisada N,
    9. Ishiko S,
    10. Aoto Y,
    11. Nagase H,
    12. Takeda H,
    13. Rossanti R,
    14. Ishimori S,
    15. Kaito H,
    16. Matsuo M,
    17. Iijima K,
    18. Nozu K
    : Pathogenic evaluation of synonymous COL4A5 variants in X-linked Alport syndrome using a minigene assay. Mol Genet Genomic Med 8: e1342, 2020 https://doi.org/10.1002/mgg3.1342
    OpenUrl
  22. ↵
    1. Nozu K,
    2. Iijima K,
    3. Kawai K,
    4. Nozu Y,
    5. Nishida A,
    6. Takeshima Y,
    7. Fu XJ,
    8. Hashimura Y,
    9. Kaito H,
    10. Nakanishi K,
    11. Yoshikawa N,
    12. Matsuo M
    : In vivo and in vitro splicing assay of SLC12A1 in an antenatal salt-losing tubulopathy patient with an intronic mutation. Hum Genet 126: 533–538, 2009 https://doi.org/10.1007/s00439-009-0697-7
    OpenUrlCrossRefPubMed
  23. ↵
    1. Nozu K,
    2. Iijima K,
    3. Nozu Y,
    4. Ikegami E,
    5. Imai T,
    6. Fu XJ,
    7. Kaito H,
    8. Nakanishi K,
    9. Yoshikawa N,
    10. Matsuo M
    : A deep intronic mutation in the SLC12A3 gene leads to Gitelman syndrome. Pediatr Res 66: 590–593, 2009 https://doi.org/10.1203/PDR.0b013e3181b9b4d3
    OpenUrlCrossRefPubMed
  24. ↵
    1. Richards S,
    2. Aziz N,
    3. Bale S,
    4. Bick D,
    5. Das S,
    6. Gastier-Foster J,
    7. Grody WW,
    8. Hegde M,
    9. Lyon E,
    10. Spector E,
    11. Voelkerding K,
    12. Rehm HL; ACMG Laboratory Quality Assurance Committee
    : Standards and guidelines for the interpretation of sequence variants: A joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med 17: 405–424, 2015 https://doi.org/10.1038/gim.2015.30
    OpenUrlCrossRefPubMed
  25. ↵
    1. Ohno K,
    2. Rahman MA,
    3. Masuda A,
    4. Nasrin F
    : Decoding abnormal splicing code in human diseases. J Investig Genomics 2: 6–23, 2015
    OpenUrl
  26. ↵
    1. Wahl MC,
    2. Will CL,
    3. Lührmann R
    : The spliceosome: Design principles of a dynamic RNP machine. Cell 136: 701–718, 2009 https://doi.org/10.1016/j.cell.2009.02.009
    OpenUrlCrossRefPubMed
  27. ↵
    1. Hoskins AA,
    2. Moore MJ
    : The spliceosome: A flexible, reversible macromolecular machine. Trends Biochem Sci 37: 179–188, 2012 https://doi.org/10.1016/j.tibs.2012.02.009
    OpenUrlCrossRefPubMed
  28. ↵
    1. Blencowe BJ
    : Exonic splicing enhancers: Mechanism of action, diversity and role in human genetic diseases. Trends Biochem Sci 25: 106–110, 2000 https://doi.org/10.1016/S0968-0004(00)01549-8
    OpenUrlCrossRefPubMed
  29. ↵
    1. Woolfe A,
    2. Mullikin JC,
    3. Elnitski L
    : Genomic features defining exonic variants that modulate splicing. Genome Biol 11: R20, 2010 https://doi.org/10.1186/gb-2010-11-2-r20
    OpenUrlCrossRefPubMed
  30. ↵
    1. Cáceres EF,
    2. Hurst LD
    : The evolution, impact and properties of exonic splice enhancers. Genome Biol 14: R143, 2013 https://doi.org/10.1186/gb-2013-14-12-r143
    OpenUrlCrossRefPubMed
  31. ↵
    1. Krawczak M,
    2. Thomas NS,
    3. Hundrieser B,
    4. Mort M,
    5. Wittig M,
    6. Hampe J,
    7. Cooper DN
    : Single base-pair substitutions in exon-intron junctions of human genes: nature, distribution, and consequences for mRNA splicing. Hum Mutat 28: 150–158, 2007 https://doi.org/10.1002/humu.20400
    OpenUrlCrossRefPubMed
  32. ↵
    1. Baralle D,
    2. Lucassen A,
    3. Buratti E
    : Missed threads. The impact of pre-mRNA splicing defects on clinical practice. EMBO Rep 10: 810–816, 2009 https://doi.org/10.1038/embor.2009.170
    OpenUrlFREE Full Text
  33. ↵
    1. Jian X,
    2. Boerwinkle E,
    3. Liu X
    : In silico tools for splicing defect prediction: A survey from the viewpoint of end users. Genet Med 16: 497–503, 2014 https://doi.org/10.1038/gim.2013.176
    OpenUrlCrossRefPubMed
  34. ↵
    1. Horinouchi T,
    2. Nozu K,
    3. Yamamura T,
    4. Minamikawa S,
    5. Omori T,
    6. Nakanishi K,
    7. Fujimura J,
    8. Ashida A,
    9. Kitamura M,
    10. Kawano M,
    11. Shimabukuro W,
    12. Kitabayashi C,
    13. Imafuku A,
    14. Tamagaki K,
    15. Kamei K,
    16. Okamoto K,
    17. Fujinaga S,
    18. Oka M,
    19. Igarashi T,
    20. Miyazono A,
    21. Sawanobori E,
    22. Fujimaru R,
    23. Nakanishi K,
    24. Shima Y,
    25. Matsuo M,
    26. Ye MJ,
    27. Nozu Y,
    28. Morisada N,
    29. Kaito H,
    30. Iijima K
    : Detection of splicing abnormalities and genotype-phenotype correlation in X-linked Alport syndrome. J Am Soc Nephrol 29: 2244–2254, 2018 https://doi.org/10.1681/ASN.2018030228
    OpenUrlAbstract/FREE Full Text
  35. ↵
    1. Arias MA,
    2. Ke S,
    3. Chasin LA
    : Splicing by cell type. Nat Biotechnol 28: 686–687, 2010 https://doi.org/10.1038/nbt0710-686
    OpenUrlPubMed
  36. ↵
    1. Chiereghin C,
    2. Robusto M,
    3. Mastrangelo A,
    4. Castorina P,
    5. Montini G,
    6. Giani M,
    7. Duga S,
    8. Asselta R,
    9. Soldà G
    : Alport syndrome cold cases: Missing mutations identified by exome sequencing and functional analysis. PLoS One 12: e0178630, 2017 https://doi.org/10.1371/journal.pone.0178630
    OpenUrl
  37. ↵
    1. Malone AF,
    2. Funk SD,
    3. Alhamad T,
    4. Miner JH
    : Functional assessment of a novel COL4A5 splice region variant and immunostaining of plucked hair follicles as an alternative method of diagnosis in X-linked Alport syndrome. Pediatr Nephrol 32: 997–1003, 2017 https://doi.org/10.1007/s00467-016-3565-4
    OpenUrlPubMed
  38. ↵
    1. Thomas P,
    2. Smart TG
    : HEK293 cell line: A vehicle for the expression of recombinant proteins. J Pharmacol Toxicol Methods 51: 187–200, 2005 https://doi.org/10.1016/j.vascn.2004.08.014
    OpenUrlCrossRefPubMed
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Evaluation of Suspected Autosomal Alport Syndrome Synonymous Variants
Rini Rossanti, Tomoko Horinouchi, Tomohiko Yamamura, China Nagano, Nana Sakakibara, Shinya Ishiko, Yuya Aoto, Atsushi Kondo, Sadayuki Nagai, Eri Okada, Shingo Ishimori, Hiroaki Nagase, Satoshi Matsui, Keiichi Tamagaki, Yoshifumi Ubara, Masahiko Nagahama, Yuko Shima, Koichi Nakanishi, Takeshi Ninchoji, Masafumi Matsuo, Kazumoto Iijima, Kandai Nozu
Kidney360 Mar 2022, 3 (3) 497-505; DOI: 10.34067/KID.0005252021

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Evaluation of Suspected Autosomal Alport Syndrome Synonymous Variants
Rini Rossanti, Tomoko Horinouchi, Tomohiko Yamamura, China Nagano, Nana Sakakibara, Shinya Ishiko, Yuya Aoto, Atsushi Kondo, Sadayuki Nagai, Eri Okada, Shingo Ishimori, Hiroaki Nagase, Satoshi Matsui, Keiichi Tamagaki, Yoshifumi Ubara, Masahiko Nagahama, Yuko Shima, Koichi Nakanishi, Takeshi Ninchoji, Masafumi Matsuo, Kazumoto Iijima, Kandai Nozu
Kidney360 Mar 2022, 3 (3) 497-505; DOI: 10.34067/KID.0005252021
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  • Novel Keap1-Nrf2 Protein-Protein Interaction Inhibitor UBE-1099 Ameliorates Progressive Phenotype in Alport Syndrome Mouse Model
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Keywords

  • genetics
  • Alport syndrome
  • basic science
  • COL4A3
  • COL4A4
  • silent mutation
  • splicing assay
  • synonymous variant

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