Abstract
Heterotaxy syndrome (HTX) is characterized by left-right (LR) asymmetry disturbances associated with severe heart malformations. However, the exact genetic cause of HTX pathogenesis remains unclear. The aim of this study was to investigate the pathogenic mechanism underlying heterotaxy syndrome. Targeted next-generation sequencing (NGS) was performed for twenty-two candidate genes correlated with LR axis development in sixty-six HTX patients from unrelated families. Variants were filtered from databases and predicted in silico using prediction programs. A total of twenty-one potential disease-causing variants were identified in seven genes. Next, we used Sanger sequencing to confirm the identified variants in the family pedigree and found a novel hemizygous mutation (c.890G > T, p.C297F) in the ZIC3 gene in a male patient that was inherited from his mother, who was a carrier. The results of functional indicated that this ZIC3 mutation decreases transcriptional activity, affects the affinity of the GLI-binding site and results in aberrant cellular localization in transfected cells. Moreover, morpholino-knockdown experiments in zebrafish demonstrated that zic3 mutant mRNA failed to rescue the abnormal phenotype, suggesting a role for the novel ZIC3 mutation in heterotaxy syndrome.
Introduction
Heterotaxy (HTX) is a rare multiple congenital anomaly syndrome resulting from abnormal specification of the left-right (L-R) body axis or ciliary dysfunction during embryonic development1–3. HTX is characterized by a wide variety of cardiac or extracardiac congenital malformations, causing significant mortality or morbidity4. The incidence of HTX is 1 per 10,000–20,000 live births, and over 90% of HTX patients present with complex cardiovascular malformations4.
However, the exact genetic cause of HTX remains unclear. Although HTX typically occurs sporadically, the associated relative risk is highest for cardiovascular malformations, indicating the existence of a strong genetic component5. Studies have identified autosomal recessive, autosomal dominant and X-linked inheritance patterns in HTX patients, accompanied by congenital heart defects (CHDs)5,6. A series of loci and disease genes related to HTX have also been identified5, and point mutations in more than 15 genes, such as ZIC3, have been identified in humans with HTX or HTX-spectrum CHD7. The ZIC3 (zinc-finger in cerebellum 3; GenBank: AF028706) gene is located at Xq26.2, which is the location of the genetic cause of X-linked heterotaxy (MIM #306955) and regulates early embryonic patterning in vertebrates8. The ZIC3 gene is a Cys2His2 (C2H2) zinc-finger transcription factor belonging to the GLI super family involved in LR axis development and binding to the GLI consensus binding site (GLIBS). Mutations in the ZIC3 gene accounting for approximately 1% of sporadic and 75% of X-linked familial heterotaxy have been identified, which have also been associated with cases of isolated d-transposition of the great arteries (TGAs) and double-outlet right ventricle (DORV), suggesting that this gene is highly correlated with LR asymmetry9–12. Studies utilizing mouse and Xenopus models have demonstrated the critical role of ZIC3 expression during both embryonic gastrulation and cardiac development13,14.
Previous studies have identified a panel of twenty-two genes related to LR asymmetry and cilia function that are involved in HTX syndrome: LEFTY1, LEFTY2, CFC1, ACVR2B, TGFBR2, RPSA, CRELD1, SHROOM3, GJA1, FOXH1, INVS, NODAL, NAT10, BCL9L, NEK8, MEGF8, SMAD2, ZIC3, DNAH5, ARMC4, CFAP53, and NPHP4 (details provided in Supplementary Table S1)7,12,15–27.
Although there is a strong genetic contribution to laterality defects, most cases remain unexplained, indicating that the utilization of novel genomic approaches to identify genetic causes of these complicated disease is necessary. Given the mutational spectrum of heterotaxy, we hypothesized that NGS approaches could help identify novel and essential variants to improve our understanding the contribution of susceptibility alleles to disease7,28. Our study provides important clues for understanding the pathogenic mechanism of ZIC3 gene mutations in heterotaxy syndrome and expands the available data on the spectrum of gene mutations associated with the etiology of this disease.
Results
The ZIC3 mutation identified in the heterotaxy pedigree
We performed next-generation sequencing (NGS) in a cohort of sixty-six patients with HTX and congenital heart disease (CHD) from unrelated families. Patient clinical characteristics are summarized in Table 1. Sequencing was focused on the exome of the following twenty-two candidate genes correlated with LR axis development: NPHP4, LEFTY1, LEFTY2, CFC1, ACVR2B, TGFBR2, RPSA, CRELD1, SHROOM3, DNAH5, GJA1, FOXH1, INVS, ARMC4, NODAL, NET43, BCL9L, NEK8, CCDC11, MEGF8, SMAD2 and ZIC3. These genes were interrogated for novel or rare coding variants present only in heterotaxy patients with CHD. By comparing with dbSNP, 1000 Genome Project, and NHLBI Exome Sequencing Project databases and using prediction programs, we excluded common variants, synonymous mutations and non-synonymous mutations that are predicted to have no deleterious effect on protein function. Twenty-one potential disease-causing variants were identified in seven genes: DNAH5, ARMC4, MEGF8, SHROOM3, NPHP4, ACVR2B and ZIC3. Eight of these variants were novel, and thirteen were low-frequency variants (MAF <1% SNP) (Table 2).
Table 1.
Variable | N or mean | % or range |
---|---|---|
Gender | ||
Male | 46 | 70 |
Female | 20 | 30 |
Age (month) [Median (IQR)] | 36 (9.5–78) | |
Visceral situs | ||
Solitus | 0 | 0 |
Inversus | 13 | 20 |
Ambiguous | 53 | 80 |
Cardiac position | ||
Levocardia | 24 | 36 |
Dextrocardia | 40 | 60 |
Mesocardia | 2 | 3 |
Combined cardia phenotype | ||
ASD | 28 | 42 |
VSD | 23 | 35 |
AVSD | 20 | 30 |
TGA | 34 | 52 |
DORV | 22 | 33 |
DOLV | 4 | 6 |
BSVC | 10 | 15 |
PLSVC | 5 | 8 |
TAPVD | 5 | 8 |
Single atrium | 8 | 12 |
Atrium isomerism | 15 | 23 |
Ventricular morphology | ||
Two ventricles of equal size | 41 | 62 |
Single Ventricle | 25 | 38 |
Ventricular loop (%) | ||
D-loop | 28 | 42 |
L-Loop | 31 | 47 |
Unknown | 7 | 11 |
Spleen morphology, position | ||
Normal | 35 | 53 |
Asplenia | 16 | 24 |
Polyspenia | 3 | 5 |
Right side spleen | 12 | 18 |
Liver | ||
Normal | 40 | 61 |
Reverse | 13 | 20 |
Middle | 13 | 20 |
Stomach | ||
Normal | 53 | 80 |
Reverse | 12 | 18 |
Middle | 1 | 2 |
Detailed cardiac anatomy of children with HTX. IQR, Interquartile range; ASD, atrial septal defect; VSD, ventricular septal defect; AVSD, atrioventricular septal defect; TGA, transposition of the great arteries; DORV, double outlet right ventricle; DOLV, double outlet left ventricle; BSVC, bilateral superior vena cava; PLSVC, persistent left superior vena cava; TPAVD, total anomalous pulmonary venous drainage.
Table 2.
Gene | Mutated case | CDS | Amino Acid change | zygosity | rsID | MAF | SIFT | Polyphen2 | MutationTaster | ExAc |
---|---|---|---|---|---|---|---|---|---|---|
DNAH5 (NM_001369) |
5032 | c.13364C > A | p. Gly4455Asp | Het | rs370684795 | 0.0002 | D | D | D | 0.0003135 |
5041 | c.12367C > T | p. His4123Tyr | Het | rs151145750 | 0.0008 | D | P | D | 0.0007023 | |
5056 | c.12595C > T | p. Arg4199Cys | Het | rs374874272 | 0.00002 | D | D | D | 0 | |
5063 | c.10169A > G | p. Asp3390Gly | Het | This study | NA | D | B | D | 0 | |
5042 | c.7123A > T | p. Ile2375Phe | Het | rs529696058 | 0.00002 | D | P | D | 0.0003469 | |
5078/5133 | c.6053T > C | p. Ile2018Thr | Het | rs117989731 | 0.0004 | D | D | D | 0.001041 | |
5102/5145/5188 | c.12472C > T | p. Arg4158Trp | Het | rs3756672 | 0.0130 | D | D | D | 0.004219 | |
5119 | c.9781A > G | p. Lys3261Glu | Het | rs146215039 | 0.0006 | T | B | D | 0.0002636 | |
5138 | c.9236G > A | p. Arg3079Gln | Het | This study | NA | T | P | D | 0.00008246 | |
ARMC4 (NM_018076) |
5071 | c. 1679C > T | p. Ala560Val | Het | This study | NA | D | D | D | 0.00002482 |
MEGF8 (NM_001410) |
5071 | c.3109C > T | p. Arg1037Trp | Het | rs370522595 | 0.0005 | D | D | D | 0.0004647 |
5041 | c.8068C > A | p. Pro2690Thr | Het | This study | NA | T | P | D | 0 | |
SHROOM3 (NM_020859) |
5052 | c.580C > A | p. His194Asn | Het | This study | NA | D | D | D | 0 |
5101/5126 | c.4726A > G | p. Lys1576Glu | Het | rs1396351 | 0.0016 | D | P | N | 0.0008678 | |
5138 | c.2905C > T | p. Arg969Trp | Het | rs3733245 | 0.00842 | D | B | D | 0.001332 | |
NPHP4 (NM_015102) |
5056 | c.2198G > A | p. Gly733Asp | Het | rs587783027 | 0.0001 | D | D | D | 0.001476 |
5050 | c.880G > A | p. Gly294Ser | Het | This study | NA | D | D | D | 0 | |
5020/5072 | c.694C > T | p. Arg232Cys | Het | rs572497035 | 0.0001 | D | D | D | 0.0001258 | |
5044 | c.3160C > T | p. Arg1054Cys | Het | rs373369949 | 0.0002 | D | D | D | 0.002275 | |
ACVR2B (NM_001106) |
5204 | c.1219G > A | p. Val407Met | Het | This study | NA | D | P | D | 0 |
ZIC3 (NM_003413) |
5183 | c.890G > T | p. Cys297Phe | Hemi | This study | NA | D | D | D | 0 |
MAF, minor allele frequency; the date is from NCBI dbSNP data base and we use 1000 Genomes data.
Exome Aggregation Consortium (ExAC) version 3: minor allele frequencies for individuals of European descent are shown.
T: tolerant; P: probably damage; D: disease causing; B: Benign; Het: Heterozygous; Hemi: Hemizygous.
We used Sanger sequencing to confirm the variants observed in the family pedigrees and identified a novel hemizygous mutation (c.890G > T, p.C297F) in the X-linked ZIC3 gene in a 13-month-old male patient with asplenia syndrome (also known as right atrial isomerism), right stomach, left liver, TGA and DORV (Fig. 1a and b). This novel hemizygous mutation was inherited from the proband’s carrier mother and was not observed in his father (Fig. 1c and d). We then confirmed the ZIC3 mutation (c.890G > T, p.C297F) via Sanger sequencing in 200 healthy control and 100 sporadic HTX cases but did not detect the mutation in any of the samples.
The identified ZIC3 mutation (c.890G > T, p.C297F) was located in exon one, corresponding to the third amino acid of the second C2H2 domain of the ZIC3 protein (Fig. 2a). The p.Cys297 residue is conserved from humans to Heterocephalus (based on Ensembl browser genomic alignments) (Fig. 2b), suggesting that this amino acid is crucial for protein function. Using SWISS-MODEL, we compared the 3D structure of the wild-type ZIC3 protein and the mutant protein (p.C297F), which indicated that the mutant prevents the binding by ZIC3 (Fig. 2c).
Effect of the ZIC3 mutation on DNA binding and gene transactivation
Previous studies have demonstrated that the ZIC3 protein binds to the GLIBS sequence (i.e., 5′-TGGGTGGTC-3′)29,30. To determine whether the ZIC3 mutant (p.C297F) affects the GLIBS-binding ability of the ZIC3 protein, we performed electrophoretic mobility shift assays (EMSA) using wild-type ZIC3 protein and the mutant ZIC3 protein from transfected whole cell lysate, with a biotin-labeled probe. To confirm the ZIC3 wildtype and mutant forms are being expressed, a western blot was perform showed in Fig. 3a.
As shown in Fig. 3b, in 293T cells, GLIBS bound to the wild-type ZIC3 protein (Fig. 3b, lines 4). However, this reaction was not detected for the mutant ZIC3 protein (Fig. 3b, line 6). To verify the binding specificity of the ZIC3 protein to the GLIBS, a mixture of the biotin-labeled GLIBS probe a 1X and the unlabeled GLIBS probe at 200X was used. When the unlabeled cold GLIBS probe was added to the reaction, binding was blocked (Fig. 3b, lines 3, 5, and 7). This EMSA result showed that the mutant ZIC3 (p.C297F) protein lacks the ability to bind GLIBS. Furthermore, a supershift control reaction was performed to verify that the band is actually caused by ZIC3 (Fig. 3c).
We also performed a luciferase assay to determine the effect of the ZIC3 mutation on gene transactivation. The mutant ZIC3 construct was generated from the wild-type ZIC3 plasmid via site-directed mutagenesis and contained a C-terminal Myc-tag. The wild-type and mutant ZIC3 constructs were subsequently co-transfected into the NIH/3T3, H9C2, and 293T cell lines with an SV40 promoter-driven firefly luciferase reporter22,31. Our results showed that the ZIC3 mutation in the C2H2 domain significantly decreases reporter gene transactivation compared with the wild-type controls (Fig. 3d).
The ZIC3 mutation influences the subcellular localization of the protein
As a transcription regulatory factor, the ZIC3 protein normally functions in the nucleus. To determine whether the mutant ZIC3 p.C297F protein changes the distribution of the protein in cells, we performed immunofluorescence analysis to detect its subcellular localization. The NIH/3T3 cell line was transiently transfected with the myc-tagged ZIC3 construct used in the luciferase transactivation analysis. We scored and counted the cells exhibiting positive ZIC3 staining as showing nuclear, cytoplasmic, or both nuclear and cytoplasmic localization, as described in the Methods.
As shown in Fig. 3e–g, the wild-type ZIC3 protein was almost always located in the nucleus; however, the mutant ZIC3 protein could not enter the nucleus and accumulated at the nuclear periphery (Fig. 3h–j).
Based on cell counting, we observed that in cells transfected with the wild-type ZIC3 construct, 50–55% of the cells exhibited protein localization in the nucleus, and 45–50% of cells exhibited both nuclear and cytoplasmic staining. In contrast, in the cells the transfected with the mutant (p.C297F) ZIC3 construct, a large proportion (70–80%) of the cells displayed both nuclear and cytoplasmic protein localization, and a smaller percentage (20–30%) showed only nuclear localization (Fig. 3k).
These results suggest that the amino acid change in the zinc-finger domain of the ZIC3 gene affects the normal function of the protein by blocking its entry into the nucleus.
The zic3 mutation-associated phenotype in zebrafish
To assess any potential phenotype associated with the zic3 mutation in zebrafish, we used antisense morpholino oligonucleotides (MO) to knockdown Zic3 protein expression in zebrafish. Embryos injected with the MO designed to block zic3 mRNA translation (zic3 TB-MO) exhibited morphological abnormalities including heart laterality and a curved body axis (Fig. 4). Other abnormalities, such as hydrocephalus or gross eye defects, were not observed in zic3 knockdown zebrafish.
We next conducted rescue experiments through co-injection of human wild-type (WT) ZIC3 mRNA or ZIC3 mutant (c.890G > T) mRNA with zic3 TB-MO separately to confirm that the defects observed in zebrafish embryos were specifically due to mutant zic3. In addition, we performed RNA in situ hybridization staining of the heart-specific marker cmcl2 to confirm the of heart laterality defect phenotype.
Zebrafish co-injected with WT ZIC3 mRNA and zic3 TB-MO exhibited partial rescue of the observed heart looping defects (the percentage of normal embryos improved from 46% to 69%, P = 0.0022; Fig. 4a–g) and curved tail defects (the percentage of normal embryos increased from 70% to 85%, P = 0.0171; Fig. 4h–n). In contrast, the co-injection of zebrafish with mutant zic3 mRNA failed to rescue either the heart looping defects (the percentage of normal hearts was 46% versus 50%, P = 0.8306; Fig. 4a–g) or the ventralized phenotype (the percentage of the curved tail phenotype was 70% versus 77%, P = 0.3364; Fig. 4h–n). Our results obtained using three independent experiments of MO injections suggest that zic3 is required for normal heart laterality and a normal LR body axis in zebrafish. For each injection experiment, a minimum of 100 embryos were analyzed. These results suggest that this novel variant of ZIC3 is both pathogenic and involved in HTX.
Discussion
The establishment of left-right axis development is critical for normal organogenesis and provides the basis for correct heart looping5. However, the exact mechanisms that establish this asymmetry and drive heart development and differentiation are still largely unknown. Many genes associated with LR asymmetry disorders have recently been identified32. We consider gene panels identified through NGS to be more clinically applicable than those obtained through exome sequencing because of faster turnaround times, higher and more reliable coverage, and the ability to avoid incidental findings. In the current study, we developed a customized panel for testing variations in 22 genes related to LR asymmetry and cilia function in an attempt to identify variants responsible for heterotaxy. In 33% of our cases, 21 missense mutations with likely functional effects were predicted in seven genes: DNAH5, ARMC4, MEGF8, SHROOM3, NPHP4, ACVR2B and ZIC3. Thirteen of these mutations were low-MAF SNPs, and eight were found for the first time in our study. In particular, one hemizygous mutation c.890G > A (p.C297F) in the ZIC3 gene was identified in the present study.
The ZIC3 gene, a member of the ZIC family gene, plays a critical role not only in the maintenance of stem cell pluripotency but also in the development of LR asymmetry. Moreover, ZIC3 is considered to act as a transcription factor, due to its ability to bind DNA and activate transcription33. Since the first gene was found to be associated with X-linked HTX through linkage analysis in five families in 1997, more than 36 pathogenic variants of the ZIC3 gene have been identified, providing substantial evidence that either loss or aberrant function of the ZIC3 protein is among the causes of heterotaxy8,10–12,22,31,34.
The ZIC3 protein consists of five Cys2His2 (C2H2)-type zinc fingers. The second C2H2 zinc-finger domain (ZF2), from amino acid 295 to 322 in the ZIC3 protein, includes part of a nuclear localization signal (NLS) and nuclear export signal (NES) region35,36. Variants located in or around this region have been shown to result in functional defects that disrupt an NLS/NES. A previous study by Ware et al. showed that mutations p.H286R, p.Q292X and p.T323M mutations altered the subcellular localization from nuclear to cytoplasmic and caused aberrant reporter gene transactivation37. Moreover, Cowan et al. showed that p.Glu291GlyfsX53 and p.His318Asn in the ZIC3 gene resulted in the same loss of function in vitro22. In the current study, the identified missense variant p.C297F was located in the ZF2 domain-combined NLS/NES region. This amino acid is highly conserved across several species. Additionally, this mutation was absent from the 1000 Genome and ExAc databases and was predicted it to be disease-causing by all predictive in silico programs. Consistent with previous research, this mutation decreased transactivation and altered the subcellular localization in 3T3 cell lines. Moreover, EI Malti et al. found a hemizygous variant at the same amino acid of ZIC3 (c.889T > G, p.C297G) in a HTX fetus who was subject of a termination of pregnancy, which means that Cysteine is critical for ZIC3 function38. These findings suggest that the ZF2 domain and the NLS/NES region are essential for ZIC3 function in living organisms.
In addition to aberrant reporter gene transactivation and abnormalities in subcellular localization, this mutation (p.C297F) was found to affect protein structure and DNA-binding ability. Our protein structure prediction model using SWISS-MODEL software demonstrated that one ligand was lost in the mutant ZIC3 protein. Given that ZIC3 is known to physically and functionally interact with GLI proteins and to bind to the GLIBS sequence (5′-TGGGTGGTC-3′), which is critical for the Hedgehog signaling pathway, EMSA was performed to test the protein-DNA-binding reaction of mutant ZIC3 with GLIBS29. We noted obvious interactions between wild-type ZIC3 and GLIBS, whereas the mutant (p.C297F) ZIC3 protein showed no interaction with GLIBS. This result is consistent with a previous study demonstrating that ZF domains were necessary for the binding of ZIC3 to GLIBS29. Mutations in the ZF2 domain may cause the loss of DNA-binding ability and subsequent alterations in gene expression, which may lead to reduced Hedgehog signaling, ultimately resulting in HTX or congenital heart disease.
To combine our genetic findings with clinical phenotypes, we performed in vivo experiments using a zebrafish model, which is an attractive model for studying the function of genetic variations in cardiovascular disease39. Zic3 expression in zebrafish is restricted to the dorsal half of the blastoderm at early stages, before laterality develops40. A study in ZIC3 mutants overexpressing either wild-type ZIC3 mRNA or mutant ZIC3 mRNA showed that overexpression of wild-type ZIC3 mRNA resulted in cardiac laterality defects, posterior truncation or embryo lethality. However, the examined mutants (p.Val288Serfs*50, p.His281Argfs*62, p.Asn371His) exhibited less extensive phenotypes, indicating a partial loss of function31. To confirm the role of Zic3 in establishing LR asymmetry, we used an antisense MO to knockdown the expression of zebrafish zic3. Depletion of zic3 in zebrafish resulted in abnormal heart looping and curved tail phenotypes, similar to the heart malposition observed in HTX patients. Co-injection of the zic3 TB-MO and human wild-type ZIC3 mRNA significantly improved the phenotypic spectrum resulting from zic3 depletion. In contrast, co-injection of the zic3 TB-MO and human mutant (p.C297F) ZIC3 mRNA failed to rescue the observed laterality defects, suggesting that these variants are indeed pathogenic. In accordance with a study from Cast AE et al., LR patterning is disrupted in zic3 morphant zebrafish41.
Collectively, the analyses conducted in the present study allowed us to assess the functional consequences of a novel ZIC3 variant (c.890G > T) identified in HTX patients in both cell lines and zebrafish models, demonstrating that the mutation resulted in loss of function. Both in vitro and in vivo analyses confirmed that this novel mutation in the ZIC3 gene significantly altered ZIC3 protein function, suggesting that ZIC3 is involved in the establishment of LR asymmetry. These results provide evidence for further research on the target genes that are regulated or transcriptionally activated by ZIC3 to explore the underlying mechanisms whereby ZIC3 affects LR axis development.
Conclusion
In summary, using a customized Ampliseq panel strategy based on NGS, we identified 21 predicted mutations, among which one novel hemizygous mutation in the ZIC3 gene correlated with X-linked heterotaxy is reported for the first time. Both in vivo and in vitro results provided powerful evidence of an association between the novel ZIC3 c.890G > T variant and HTX and CHD. Furthermore, our study confirmed and extended previous observations regarding the function of the ZIC3 gene in LR asymmetry.
Methods
Patient recruitment and DNA extraction
The collection of samples from patients was conducted in accordance with the Declaration of Helsinki and was approved by the Ethics Committees of Children’s Hospital of Fudan University (CHFU). Informed consent was obtained from the parents or guardians of the children.
Sixty-six cases diagnosed as CHD and heterotaxy and the corresponding trio families were recruited from the Cardiac Center of the hospital in Shanghai, China, between August 2012 and December 2015. Each participant was categorized as having situs inversus, heterotaxy, or isolated heterotaxy spectrum CHD based on the classification described by Ware37. Genomic DNA samples from the whole blood of all patients as well as their nuclear family wherever available were extracted using the QIAamp DNA Blood Mini Kit (Qiagen). The DNA concentration was determined using a NanoDrop spectrophotometer (ND-1,000, Thermo Fisher Scientific, Waltham, MA).
HTX panel design, NGS sequencing and data analysis
In this study, a customized HTX gene panel multiplex enrichment kit was designed using the Ion AmpliSeq strategy (Life Technologies, USA) with baits for the following twenty-two genes: NPHP4, LEFTY1, LEFTY2, CFC1, ACVR2B, TGFBR2, RPSA, CRELD1, SHROOM3, DNAH5, GJA1, FOXH1, INVS, ARMC4, NODAL, NET43, BCL9L, NEK8, CCDC11, MEGF8, SMAD2 and ZIC3. A total of 567 amplicons were designed (details in Supplemental Table 1). Primers covering all exons and at least 10 bp of all intron/splice sites of these genes were designed online using the software available at https://www.ampliseq.com/.
Following the protocol, libraries were constructed using the Ion AmpliSeq Library Kit v2.0 (Life Technologies, USA). The libraries were prepared using kits for fragmentation (Ion Shear, Life Technologies). Various samples were distinguished by different barcodes using adaptors and barcode ligation (Ion Xpress Barcode Adapters Kit, Life Technologies). The concentrations of each library were confirmed using a TaqMan Quantification Kit (Life Technologies). To clonally amplify pooled barcoded libraries, the Ion OneTouch 2 system with the Ion PGM Template OT2 200 Kit (Life Technologies, USA) was used. Ion sphere particles (ISP) were enriched using the E/S module protocol. The enriched template-positive ISPs were loaded and sequenced on an Ion 316™ Chip by PGM (Life Technologies, USA)42. The coverage of these genes was greater than 96.3%, with an average reads depth greater than 428X for each targeted nucleotide. Samples with low coverage (<5 reads for locus) were excluded from the study.
For each case, base calls were detected with Torrent Suite software, and raw sequencing data were aligned against the human reference genome GRCh37/hg19 (NCBI) using NextGENe software, which can also call variants with default alignment settings. Single-nucleotide variations (SNVs) were aligned based on the following criteria: (1) the variant was detected on both strands of the sequence reads; (2) the minimum coverage of reads was no less than 10×; (3) at a particular site, the variant reads represented more than 20% of the sequence reads; and (4) the targeted region covered all exons and at least 20 bp of all intron/splice sites18. The variants filtered from NextGENe software and confirmed by Sanger sequencing were compared with the dbSNP (http://www.ncbi.nlm.nih.gov/projects/SNP/), 1000 Genomes (http://www.1000genomes.org), and Exome Aggregation Consortium (ExAc) databases (http://exac.broadinstitute.org/) as well as our laboratory’s internal databases that contain data from more than 3500 non-cardiac disease cases. Additionally, the risk of SNVs was predicted using the silico tools SIFT (http://sift.jcvi.org/), PolyPhen2(http://genetics.bwh.harvard.edu/pph2/) and MutationTaster (http://www.mutationtaster.org/)42–44 and confirmed via Sanger sequencing. The primer sequences used to analyze each variant via polymerase chain reaction are listed in Supplementary Table S2.
ZIC3 amino acid sequence conservation and protein structure prediction
The conservation of all the amino acids altered by missense mutations was estimated by aligning genes from Homo sapiens with those of Mus musculus, Danio rerio, Numida meleagris, Columba livia, Anas platyrhynchos, and Heterocephalus glaber using NCBI Blast (https://blast.ncbi.nlm.nih.gov/Blast.cgi). Wild-type and mutant ZIC3 protein structures were predicted using SWISS-MODEL (https://swissmodel.expasy.org/?pid=smh01)45.
ZIC3 expression plasmid construct, mutagenesis analysis and luciferase assay
The wild-type ZIC3 plasmid was constructed by subcloning the entire human ZIC3 (NM_003413) open reading frame (ORF) into the pCMV6 expression vector with a C-terminal Myc-tag (Origene, RC220375). The mutant ZIC3 construct was generated from the wild-type ZIC3 sequence via the Fast Mutagenesis System (Transgen Biotech, China) and confirmed by Sanger sequencing. The primers used to generate the mutant ZIC3 plasmid were as follows: mutant-F: 5′-AGAACAACCACGTCTTCTACTGGGAGGAGTG-3′ and mutant-R: 5′-AAGACGTGGTTGTTCTGCTCCGGGCCC-3′.
The 293T, NIH/3T3 and H9C2 cell lines were grown in high-glucose Dulbecco’s modified Eagle medium (Gibco) with 10% fetal bovine serum (Gibco) and 1× Pen/Strep (Thermo Fisher Scientific) at 37 °C under 5% CO2. Lipofectamine 3000 (Invitrogen) was used for transfection according to the manufacturer’s protocol. The wild-type or mutant pZIC3-myc construct was co-transfected with an SV40 luciferase reporter plasmid (pGL3-SV40, Promega) and a Renilla luciferase reporter (pRL-TK, Promega). The pGL3 basic plasmid (Promega) was used to normalize the results. Cells were harvested 48 hours after transfection, and luciferase activity was determined using the Dual Luciferase Reported Assay System (Promega). Firefly luciferase activity was normalized to Renilla luciferase activity. The fold activation of the ZIC3 mutant was calculated with respect to the wild-type values. The results for each construct represent the average values obtained from a minimum of three independent experiments repeated in triplicate.
Western blot
The 293T cells which were transfected with wild-type and mutant ZIC3 plasmid were harvested at 48 hours after transfection. Then, we used RIPA lysis and extraction buffer (Thermo Scientific, USA) containing halt protease/phosphatase inhibitor cocktail (Thermo Scientific, USA) to effectively lyse and extract protein from cells on ice. The protein concentrations were determined using the BCA protein assay kit (Takara) according to the manufacturer’s instructions, with bovine serum albumin (BSA) as the standard. Then, 30 μg of protein was loaded onto and separated in 10% sodium dodecyl sulfonate-polyacrylamide gels, followed by an electrophoretic transfer onto a nitrocellulose membrane (Whatman, GE Healthcare Life Sciences, UK). After this, the membrane was blocked in phosphate-buffered saline (PBS) with 1% Tween-20 (PBST) containing 5% BSA for 1 hour at room temperature to prevent non-specific antibody binding. Appropriate primary antibodies were incubated with the membrane, followed by peroxidase-conjugated anti-rabbit antibody (dilution at 1:5,000; Pierce), and visualized by enhanced chemiluminescence (Pierce). The primary antibodies that were used were mouse monoclonal anti-Myc (ab32, Abcam, UK) and anti-GAPDH (ab9482, Abcam, UK) was used as a loading control.
Electrophoretic mobility shift assay (EMSA)
293T cells were collected 48 hours after transfection with pZIC3-myc or pZIC3 (Mu)-myc, and whole-cell extracts were obtained using RIPA lysis and extraction buffer (Thermo Scientific). The obtained protein concentration was measured with a BCA protein assay kit (Takara). Biotin-labeled double stranded oligonucleotide probes containing a GLI-binding site (GLIBS) were generated with the following primers:
F: 5′-GCATCTGTGATTTTCGTCTTGGGTGGTCTCCCTCCTGTAGGAATTCG-3′; R: 5′-CGAATTCCTACAGGAGGGAGACCACCCAAGACGAAAATCACAGATGC-3′.
The binding experiment was performed using a LightShift Chemiluminescent EMSA Kit (Thermo Scientific) according to the manufacturer’s protocols. One picomole of biotin-labeled probe was incubated with 10 μg of a whole-cell extracts from 293T cells or cells transfected with pZIC3-myc or pZIC3 (Mu)-myc separately for 10 min in 10X binding buffer mixed with poly (dI·dC), 1% NP-40 and 50% glycerol. A 200-fold molar excess of unlabeled probe was added to the reaction for competition experiments. The reaction mixture was subsequently subjected to electrophoresis in a 6% polyacrylamide gel at 100 V for 30 min. The gel was then transferred to a positive nylon membrane at 384 mA for 50 min and detected using a stabilized streptavidin-horseradish peroxidase conjugate and photographed using a Fuji film Las3000 Luminescent Image Analyzer (Fuji Life Sciences, Tokyo, Japan).
To confirm the band was actually caused by ZIC3, a supershift control reaction was performed by adding 1ul of mouse monoclonal anti-Myc antibody (ab32, Abcam, UK) to the whole cell-extracts of 293T cells transfected with pZIC3-my. The protocol was same as EMSA according to the manufacturer’s instruction.
Immunocytochemistry and subcellular localization
NIH3T3 cells were seeded onto 20 mm-diameter glass-bottom cell culture dishes (Nest scientific, USA) at 0.6 × 105 cells/ml one day before transfection with either the wild-type or mutant pZIC3-myc construct. For each transfection, 2.5 μg of plasmid DNA was transfected using the Lipofectamine 3000 Transfection reagent (Invitrogen, USA). After 24 hours, the transfected cells were fixed in 4% paraformaldehyde/PBS for 20 min at room temperature and then washed in 0.5% TritonX-100/PBS (PBST) three times. Following an additional 20 min in PBST, the cells were blocked in 3% fetal bovine serum/0.2% TritonX-100/PBS for 1 hour at room temperature. The cells were subsequently incubated overnight at 4 °C in a 1:200 dilution of an anti-c-Myc mouse monoclonal antibody (ab32, Abcam, UK), washed three times in PBST, incubated for 2 hours in a 1:500 dilution of Alexa Fluor 594 goat anti-mouse IgG (ab150116, Abcam, UK) in the dark, and then washed two additional times in PBST. Nuclear staining was performed with 1:1000-diluted DAPI, followed by washing with PBST. The slides were finally imaged using a Leica TCS SP8 Laser Scanning Confocal Microscope.
Zebrafish zic3 knockdown and rescue experiments
Danio rerio of the Tu and transgenic cmcl2-eGFP strains were reared under standard aquaculture conditions at 28.5 °C with a 14/10 light/dark cycle. Embryos were obtained after natural group mating and cultured in egg water (17 mM NaCl, 0.20 mM KCl, 0.18 mM Ca (NO3)2, 0.1 mM MgSO4, 1.5 mM HEPES buffer at pH 7.1–7.3, with 0.6 µM methylene blue) with or without 1-phenyl-2-thiourea (PTU; Sigma) to prevent pigmentation. All zebrafish experiments were approved by the CHFU, and the methods of the zebrafish experiments were performed in accordance with the approved guidelines and regulations.
Antisense MOs were purchased from Gene Tools, LLC. To knockdown zic3, we designed one MO to bind to the start codon and block translation: zic3 TB-MO 5′-GCGCTATCAAGGAGCATAGTCATT-3′. MO sequences were aligned with the Danio rerio genome using UCSC Blast and NCBI Blast to confirm the specificity for the zic3 genomic region. Different amounts of each MO were injected to determine the optimum dose. Ultimately, we performed the injection with 2.0 ng of zic3 TB-MO. A standard MO (5′-CCTCTTACCTCAGTTACAATTTATA-3′) purchased from Gene Tools, LLC was used as a control.
For the MO rescue experiments, the wild-type and mutant human ZIC3 cDNAs were cloned from the pZIC3-myc plasmid into the pCS2+ vector plasmid (Addgene, USA) using the In-Fusion® HD Cloning Kit (Takara Bio, USA) using the appropriate primers (Supplementary Table S2). The wild-type and mutant mRNAs were synthesized with the mMESSAGE mMACHINE SP6 ULTRA Kit (Ambion, Inc). Then, 100 pg of mRNA was co-injected with 2.0 ng of zic3 TB-MO in 1-cell-stage embryos31. As a control, equal volumes of solution were injected. A minimum of three independent experiments were performed.
Zebrafish phenotype analysis and whole-mount in situ hybridization (WISH)
All surviving embryos at 72 hours post-injection were collected from each group and carefully observed using a Leica M205C inverted microscope. The number of embryos with cardiac looping defects, curved tail, and edema phenotypes were counted. A minimum of three independent experiments were performed. A cmcl2 DIG-labeled probe was used to confirm the phenotypes via WISH as previously described46.
Statistical analysis
Unpaired Student’s t-tests were used to analyze the luciferase data. Statistical analysis for functional assessment was performed using the Chi-square test with GraphPad Prism 6.0 Software. Values were considered significantly different at p < 0.05.
Data availability
The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
Electronic supplementary material
Acknowledgements
We thank Michael Tsang (University of Pittsburgh) for providing the plasmid for the Cmcl2 in situ probes. We also thank Deyong Xiao and Qiang Li for providing the transgenic zebrafish line Tg (cmcl2: eGFP). This work was made possible by grants from the National Key Research and Development Program of China (2016YFC1000500) and the Natural Science Foundation of China (81370198, 81570282, and 81570283).
Author Contributions
Conception and study design: Guoying Huang, Shuolin Li, Wei Sheng, Huijun Wang. Acquisition of patients’ information and communication with patients’ family: Shuolin Li, Sida Liu, Weicheng Chen, Yuan Yuan. Next-generation sequencing design and data analysis: Shuolin Li, Huijun Wang, Duan Ma, Xiaojing Ma. Experimental studies about cell culture and zebrafish experiment: Shuolin Li, Ruoyi Gu, Yangliu Song, Jian Li, Yinyin Cao, Yixiang Lin, Jun Xu. Drafting: Shuolin Li. Manuscript editing, revising: Guoying Huang, Wei Sheng, Shuolin Li.
Competing Interests
The authors declare no competing interests.
Footnotes
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Wei Sheng, Email: Sheng4616@126.com.
Guoying Huang, Email: gyhuang@shmu.edu.cn.
Electronic supplementary material
Supplementary information accompanies this paper at 10.1038/s41598-018-30204-3.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.