Abstract
In recent years, several genes have been implicated in the variable disease presentation of global developmental delay (GDD) and intellectual disability (ID). The endoplasmic reticulum membrane protein complex (EMC) family is known to be involved in GDD and ID. Homozygous variants of EMC1 are associated with GDD, scoliosis, and cerebellar atrophy, indicating the relevance of this pathway for neurogenetic disorders. EMC10 is a bone marrow‐derived angiogenic growth factor that plays an important role in infarct vascularization and promoting tissue repair. However, this gene has not been previously associated with human disease. Herein, we describe a Saudi family with two individuals segregating a recessive neurodevelopmental disorder. Both of the affected individuals showed mild ID, speech delay, and GDD. Whole‐exome sequencing (WES) and Sanger sequencing were performed to identify candidate genes. Further, to elucidate the functional effects of the variant, quantitative real‐time PCR (RT‐qPCR)‐based expression analysis was performed. WES revealed a homozygous splice acceptor site variant (c.679‐1G>A) in EMC10 (chromosome 19q13.33) that segregated perfectly within the family. RT‐qPCR showed a substantial decrease in the relative EMC10 gene expression in the patients, indicating the pathogenicity of the identified variant. For the first time in the literature, the EMC10 gene variant was associated with mild ID, speech delay, and GDD. Thus, this gene plays a key role in developmental milestones, with the potential to cause neurodevelopmental disorders in humans.
Keywords: EMC10, intellectual disability, speech delay and global developmental delay, splice acceptor site variant
1. INTRODUCTION
The endoplasmic reticulum (ER) is a diverse cell organelle whose physical behavior and function greatly impact cell physiology. It plays a key role in different cellular processes, including lipid biosynthesis, membrane and secretory protein biogenesis, Ca2+ storage, and metabolic pathway regulation. 1 ER homeostasis is vital for overall cellular fitness. Therefore, identifying allied pathways and requisite factors is an important goal of modern cell biology. 2
In yeast, several ER proteins and complexes have been identified in large‐scale genetic interaction studies. However, in most cases, their functions remain unknown. 1 , 3 One of these complexes, the ER membrane protein complex (EMC), is an abundant, multi‐subunit protein complex found in all eukaryotic kingdoms. 4
The EMC family was first identified in yeast as a multi‐protein transmembrane complex composed of 10 subunits, where it was thought to be responsible for eliminating misfolded membrane proteins. 1 The EMC may facilitate interactions between mitochondria and the ER, thus modulating the processing and folding of different proteins. 5 It also plays a key role in the stability of different transmembrane proteins, such as rhodopsin, which has been reported to cause retinal degeneration in Drosophila. 6
The loss of ER‐mitochondria crosstalk has been previously associated with Alzheimer's disease (AD) type 3 and 4 (PSEN1: OMIM 607822; PSEN2: OMIM 600759 [https://www.omim.org/]), recessive cerebellar atrophy, visual impairment, psychomotor retardation (EMC1: OMIM 616875), dominant amyotrophic lateral sclerosis (ALS) type 8 (VAPB: OMIM 608627), juvenile ALS type 16 (SIGMAR1; OMIM 601978), Parkinson's disease type 1 and 4 (SNCA: OMIM 163890), and Charcot‐Marie‐Tooth disease (CMT) type 2A2A (MFN2; OMIM 608507). 7 Despite advances in molecular genetic technologies, the function of the EMC and the pathways associated with human disease remain to be fully elucidated. 8
Herein, we report a single family with two siblings affected by mild ID, speech delay, and GDD. We characterized this clinical phenotype using whole‐exome sequencing (WES) and identified a potential pathogenic homozygous variant in the EMC10 gene located on chromosome 19q13.33.
2. METHODS
2.1. Study and ethical approval
The Institutional Review Board (IRB) of King Abdullah International Medical Research Center (KAIMRC), Riyadh, approved the study with adherence to the Declaration of Helsinki. Written informed consent for the publication of related data was obtained from the parents of the enrolled patient. Fresh blood samples were collected from five individuals, including two affected individuals, a normal sibling, and normal parents (Figure 1A).
2.2. Genomic DNA and peripheral blood mononuclear cell extraction
Genomic DNA was extracted from the fresh blood of all available individuals using the QIAamp DNA Micro kit according to the manufacturer's instructions. DNA quantification was performed using a NanoDrop spectrophotometer. Density gradient centrifugation was used to separate peripheral blood mononuclear cells (PBMCs) using Ficoll‐prefilled Leucosep tubes using the standard methods. The percentage of PBMC viability was assessed using the Trypan blue exclusion method (85%‐90%).
2.3. Whole exome sequencing
Whole exome sequencing (WES) was performed by Centogene (Rostock, Germany, https://www.centogene.com) for the single affected family member (IV‐1) using an Illumina platform (Illumina, San Diego). Approximately 37 Mb (214 405 exons) of the Consensus Coding Sequence (CCS) were enriched from fragmented genomic DNA using >340 000 probes designed against the human genome (Nextera Rapid Capture Exome, Illumina). The generated libraries were sequenced with an average coverage depth of ×70‐×100.
Data analysis and interpretation were performed by Centogene using an end‐to‐end in‐house bioinformatics pipeline with applications including base calling, filtering of low‐quality reads, and alignment of reads to the GRCh37/hg19 (http://genome.ucsc.edu/) genome assembly.
2.4. Filtration of variants
Primary filtering was performed using the standard methods, including filtering out low‐quality reads and potential artifacts. Subsequently, variant annotation was performed using the standard methods. All disease‐causing variants reported in the HGMD, ClinVar, CentoMD, PubMed, and variants with minor allele frequency (MAF) of >1% in the gnomAD/ExAC database were given predilection.
Variant filtration steps also focused on the autosomal recessive mode of inheritance, and coding exons along with flanking ±20 intronic base pairs were given priority. All pertinent inheritance patterns were considered. However, a recessive pattern was given preference based on the pedigree analysis. Patient clinical reports were evaluated to perform genotype‐phenotype correlations. In silico prediction tools were used to analyze the pathogenicity of the identified variants, including NNSplice (Berkeley [https://www.fruitfly.org/seq_tools/splice.html]), FATHMM (http://fathmm.biocompute.org.uk/), DANN (https://cbcl.ics.uci.edu/public_data/DANN/), EIGEN, MutPred Splice (https://genomebiology.biomedcentral.com/articles/10.1186/gb-2014-15-1-r19), SKIPPY (http://research.nhgri.nih.gov/skippy), Human Splice Finder (http://www.umd.be/HSF/), Varsome (https://varsome.com/), and MutationTaster (http://www.mutationtaster.org/).
2.5. Sanger sequencing
The identified homozygous variant was Sanger sequenced in all available members of the family. Sanger sequencing was performed as previously described. 9 Primer pairs were designed using the Primer3 online tool (http://bioinfo.ut.ee/primer3-0.4.0/). Primers included forward (5′‐TCCCTGACCTGTAGTGACGTAG‐3′) and reverse (5′‐CCAAGAAGGGTTTGCTGGTC‐3′) primers (product size, 369 bp; annealing temperature, 60.5°C).
2.6. RNA extraction
Total RNA was extracted from PBMCs after the addition of TRIzol reagent (Invitrogen), followed by chloroform (200 μL) for organic and aqueous phase separation. After centrifugation at 4°C for 15 min, RNA in the aqueous phase was transferred into RNase‐free tubes. Washing was performed using isopropanol, followed by precipitation with 75% ethanol. Quantification and purity tests were performed using standard methods. 10
2.7. Quantitative real‐time PCR
Total RNA was extracted to quantitatively monitor the EMC10 mRNA expression relative to the internal control house‐keeping gene GAPDH (glyceraldehyde‐3‐phosphate dehydrogenase; DQ403057). cDNA was synthesized from total RNA using a high capacity cDNA reverse transcription kit (Applied Biosystems). The primer sequences for the EMC10 cDNA primer pairs can be provided upon request. The primers were designed using the Primerbank database (https://pga.mgh.harvard.edu/Parabiosys/). The qPCR reaction was performed using a SYBR Green Master Mix (Thermo Fisher Scientific, Massachusetts) on a QuantStudio 6 Flex Real‐Time PCR System (Applied Biosystems). No template control (NTC) was used as a negative control for each experiment. All the reactions were repeated independently and performed in triplicate. Data were analyzed using expression Suite software version 1.1 (Applied Biosystems). PCR cycle conditions were the same as described previously, 10 and GAPDH was used as the endogenous control.
2.8. Statistical analysis
The quantitative real‐time PCR results were analyzed using GraphPad Prism (version 8.1). The analysis of variance (one‐way ANOVA) statistical test was applied. P < .05 was considered significant.
3. RESULTS
3.1. Clinical description
3.1.1. Affected individual IV‐1
Patient IV‐1 is a 14‐year‐old male Saudi patient. He was born to consanguineous healthy parents after an unremarkable pregnancy course at full term by cesarean section due to fetal distress. His birth weight was 5 kg (>95th percentile) and the APGAR score was 9 and 9 at 1 and 5 min, respectively. After delivery, the patient was discharged immediately from the hospital.
The patient performed well with normal development until the age of 3, when he started to show speech delay and poor concentration. The patient (IV‐1) developed a febrile seizure at the age of 3.5 during febrile illness, with a body temperature reaching 40°C. The duration of the seizure was short and did not require antiepileptic medication. He started to speak for the first time at the age of 4. Later, at the age of 5, he developed anxiety in the form of separation anxiety and poor sleeping at night. At the age of 10, he started to develop repetitive tics, in the form of repeated blinking, head nodding, eye‐rolling (nystagmus), and jaw tics. His intelligence quotient (IQ) assessment revealed a borderline score of 69.
He was referred to the genetic service at the age of 10 for genetic evaluation. At the age of 10, he started to write his name and was enrolled in a special needs school, with an average academic performance. Currently, the patient has normal gross motor development, with speech delay, since he can speak in sentences but incomprehensively. The patient (IV‐1) has a major deficiency in memory and mathematical abilities.
On examination, he was vitally stable with the following growth parameters: height, 163 cm (50th percentile); weight, 41.2 kg (10th percentile); and head circumference, 56 cm (50th percentile). The patient had subtle dysmorphic features, including a triangular face, broad forehead, plagiocephaly, mild synophrys, and tooth crowding (Figure 1B). Other systemic examinations were unremarkable, except for mild hirsutism.
All the basic metabolic investigations were unremarkable. The karyotype, comparative genomic hybridization (CGH) array, and screening for fragile X were unremarkable. Radiological investigations, including brain MRI and skeletal surveys, were also unremarkable.
3.1.2. Affected individual IV‐2
Patient IV‐2 is an 11‐year‐old female Saudi patient. She is the younger sister of patient IV‐1. She was born after an uneventful pregnancy course at full term by cesarean section due to fetal distress and a large fetus size. Her birth weight was 3.5 kg (50th percentile), with a length of 52 cm (75th percentile) and a head circumference of 36 cm (90th percentile). The APGAR scores were 6 and 8 at 1 and 5 min, respectively. After delivery, she was discharged immediately from the hospital.
At the age of 2, the family noticed symptoms comparable to those of her affected brother (IV‐1), such as speech delay. Later, she developed anxiety in addition to some visual illusions, mainly at night, as well as poor sleep. She had stereotypic movements in her hands and repeated tics, including blinking and nystagmus (rapid eye movements, side to side). She had a friendly personality, no aggressive behavior, and no history of seizures.
She started to walk around 18 months. She started to write her name after the age of 10. However, she still has speech delay, incomprehensive speech, and dysarthria. She is attending a special needs school and has major deficiencies in memory and mathematical abilities. Her IQ test score was 76, which was better than that of her brother (IV‐1).
On examination, she was vitally stable and her latest growth parameters were within normal limits: height, 144 cm (50th‐75th percentile); weight, 34.1 kg (25th‐50th percentile); head circumference, 53 cm (50th percentile). She had subtle dysmorphic features, such as triangular face, frontal bossing, mild synophrys, and tooth crowding (Figure 1B). Other systemic examinations were unremarkable, except for mild hirsutism. Clinical descriptions of both affected individuals are provided in Table 1.
TABLE 1.
Clinical phenotypes | IV‐1 | IV‐2 |
---|---|---|
Sex | Male | Female |
Origin | Saudi | Saudi |
Consanguinity | + | + |
Pregnancy event | Uneventful full term | Uneventful full term |
Age at last exam | 14 | 11 |
Genetic results | c.679‐1G>A in EMC10 gene | c.679‐1G>A in EMC10 gene |
Global developmental delay | + | + |
Speech delay | + | + |
Mild‐Intellectual disability | + | + |
IQ score | 69 | 76 |
Anxiety | + | + |
Poor sleep | + | + |
Repetitive tics | + | + |
Major deficiency in memory and mathematical abilities | + | + |
Head circumference | 56 cm (50th percentile) | 53 cm (50th percentile) |
Height | 163 cm (50th percentile) | 144 cm (50th‐75th percentile) |
Weight | 41.2 kg (10th percentile) | 34.1 kg (25th‐50th percentile) |
Dysmorphic features | + | + |
MRI brain | Normal | Normal |
Skeletal survey | Normal | Normal |
Hearing test | Normal | Normal |
Eye exam | Normal | Normal |
Echocardiogram | Normal | Normal |
3.2. Whole‐exome sequencing and Sanger sequencing
WES was performed for single affected individuals (IV‐1), as described previously. 11 , 12 Filtration of the identified variants was performed considering all patterns of inheritance. We focused only on pathogenic, likely pathogenic, variant of uncertain significance (VUS), and non‐synonymous (NS) variants causing missense, nonsense, frame‐shift, splice site variants (SS), coding insertions, or deletions (indel).
The outcomes of WES data analysis and the filtration steps resulted in the identification a homozygous splice acceptor site variant (c.679‐1G>A; g.50985405G>A) in intron 6 of the EMC10 gene (NM_206538.4; NC_000019.10), located on chromosome 19q13.33 (GRCh37), which segregated perfectly with the disease phenotype, as verified by bi‐directional Sanger sequencing (Figure 1C). The pathogenicity index of the identified variant (c.679‐1G>A) was calculated using different available online tools and was considered disease causing. This EMC10 variant was validated using the standard methods and screened in different online databases. It was not observed in the homozygous state in the ExAC (http://exac.broadinstitute.org/), gnomAD (http://gnomad.broadinstitute.org/), dbSNP (https://www.ncbi.nlm.nih.gov/projects/SNP/), 1000 Genomes Project (http://www.internationalgenome.org/), or in‐house 2000 exome database. It was classified as a Class 3 VUS, according to the recommendations of Centogene and ACMG.
3.3. Quantitative PCR
Using RT‐qPCR, EMC10 mRNA expression in the PBMCs was inspected in both the affected individuals, parents, and control individuals. The qPCR data revealed that both affected individuals (IV‐1, IV‐2) with the homozygous variant (c.679‐1G>A) showed a substantial reduction in the relative gene expression of the human EMC10 gene compared to the carrier parents (III‐3, III‐4) and control (IV‐3) (Figure 1D).
4. DISCUSSION
The ER membrane protein complex (EMC) was first discovered in yeast as a 6‐subunit (Emc1‐6) transmembrane protein complex, which helps in proper ER protein folding. Subsequently, 10 subunits (EMC1‐10) were observed in different animal species. 1 , 13 EMC is an evolutionarily conserved and multifunctional protein complex with a significant functional importance in ER‐mitochondria tethering, ER‐associated degradation, and the proper assembly of different transmembrane proteins. 12 EMC6 is reported to regulate cell autophagy in humans, and modulates the ER‐associated degradation of particular proteins in Caenorhabditis elegans. 14 , 15
Pathogenic homozygous variants in the EMC1 gene have been associated with a recessive neurodevelopmental disorder, characterized by pathognomonic GDD, cerebellar atrophy, ID, visual impairment, psychomotor retardation with epilepsy, and scoliosis. 16 , 17 EMC1 also belongs to the EMC family of proteins and interacts with EMC10 (Figure 1F). Here, we investigated two Saudi patients with hallmark features of anxiety disorder, speech delay, tics, and mild ID. Using WES following Sanger sequencing, we identified a homozygous splice acceptor site variant (c.679‐1G>A) in the EMC10 gene located on chromosome 19q13.33, consisting of a total of seven exons, encoding a 262‐amino acid protein in humans (Figure 1E). The identified variant is located in intron 6 of the EMC10 gene. As the splice site variant involving ±1 or 2 bases of an intron has a strong impact on the normal splicing process of the gene, the variant identified here (c.679‐1G>A) may affect the canonical splicing of exon 7 by knocking down its natural 3‐acceptor splice site and eliciting the use of a cryptic splice site downstream of the intron. Furthermore, the RT‐qPCR data revealed a substantial decrease in the mRNA expression of the EMC10 mutant compared to the other family members and control sample.
In the Decipher database (https://decipher.sanger.ac.uk/, Deciphering Developmental Disorders project), two additional cases of variants located in the loci of ECM10 have been reported. The first is a homozygous biparental frameshift variant located in exon 4 of the EMC10 gene. The phenotypes associated with these variants include abnormalities in different systems, such as nervous system, skeletal system, head or neck, digestive system, and limbs (https://decipher.sanger.ac.uk/search/ddd-research-variants/results?q=emc10).
Since our knowledge of EMC biology is limited, the proper functional role of EMC and its association with human diseases remain to be fully elucidated. However, it has been suggested that EMC10 is a secreted protein and is found in pancreatic beta cells. The EMC10 gene is regulated by glucose, indicating its key role in glucose metabolism. 18 In an in vitro study, EMC10 was suggested as a potential therapeutic target for malignant glioblastoma after being found to exert cell proliferation inhibition, invasion, angiogenesis in endothelial cells, and cell migration in glioma cell lines. 19 , 20 In schizophrenia mouse models, reduced Mirta22 (human EMC10 ortholog) levels completely rescued the dendritic deficits and spine formation at the hippocampal pyramidal neurons, thus suggesting a key role in neuronal dendrites and spine development. 21 Furthermore, studies revealed that knockout mouse (emc10 −/−) showed effects on their behavior (hyperactivity, abnormal gait, and abnormal vocalization), decreased bone mineral content, persistence of hyaloid vascular system, cardiovascular issues (decreased heart rate), deceased corpuscular volume in females, thrombocytopenia, metabolic effects, and infertility phenotypes in males (MGI: 5548589). 22
The EMC has been associated with protein folding and ER‐mitochondria crosstalk, and variants in EMC genes such as EMC1 have been previously associated with syndromic neurodegeneration. 5 , 8 , 23 , 24 , 25 Variants in the COPA genes (OMIM 601924) have been associated with impaired intracellular communication, which resulted in impaired inter‐organelle transport, increased ER stress, and cytokine generation, causing hereditary autoimmune lung disease and arthritis. 26 Similarly, variants in TANGO2 (OMIM 616878) have been associated with recurrent metabolic encephalomyopathic crises with rhabdomyolysis, cardiac arrhythmias, and neurodegeneration, resulting due to vesicular Golgi‐ER transport and an increased ER stress, highlighting the importance of maintaining proper intracellular organelle crosstalk. 27 , 28
In conclusion, this study is the first to define the phenotypic spectrum of EMC10‐associated disorders, including GDD, mild ID, and speech delay. Our work provides evidence that homozygous variants in EMC10 may lead to neurodevelopmental disorders in humans. However, further study will be needed to identify the exact mechanism, which may involve the dysregulation of ER–mitochondria tethers or proper protein folding.
CONFLICT OF INTEREST
The authors declare no conflict of interest.
AUTHOR CONTRIBUTIONS
Umair M. drafted the manuscript. Ballow M. performed the experiments. Asiri A., Alhamoudi K., Aloraini T., Abdelhakim M., Althagafi T.A., Kafkas S., Alsubaie L., and Alyafee Y. analyzed the data. al Tuwaijri A. performed analysis and Sanger sequencing. Alrifai M.T. edited the manuscript and participated in patient clinical management. Hoehndorf R., Alfares A., and Alfadhel M. edited the manuscript, analyzed the data, participated in patient clinical management, and supervised the work. Umair M. and Alfadhel M. conceptualized and designed of the research.
ETHICS STATEMENT
The study was approved by the research committee of the King Abdullah International Medical Research Center (KAIMRC) in Riyadh, Saudi Arabia.
ACKNOWLEDGEMENTS
We would like to thank the patient and his family for their support. This study was funded by King Abdullah International Medical Research Center (KAIMRC).
Umair M, Ballow M, Asiri A, et al. EMC10 homozygous variant identified in a family with global developmental delay, mild intellectual disability, and speech delay. Clinical Genetics. 2020;98:555–561. 10.1111/cge.13842
Funding information King Abdullah International Medical Research Center
DATA AVAILABILITY STATEMENT
Data will be provided by the corresponding author upon potential requests.
REFERENCES
- 1. Jonikas MC, Collins SR, Denic V, et al. Comprehensive characterization of genes required for protein folding in the endoplasmic reticulum. Science. 2009;323:1693‐1697. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Volkmar N, Thezenas M, Louie SM, et al. The ER membrane protein complex promotes biogenesis of sterol‐related enzymes maintaining cholesterol homeostasis. J Cell Sci. 2019;132(2):jcs223453 10.1242/jcs.223453. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Schuldiner M, Collins SR, Thompson NJ, et al. Exploration of the function and organization of the yeast early secretory pathway through an epistatic miniarray profile. Cell. 2015;123:507‐519. [DOI] [PubMed] [Google Scholar]
- 4. Wideman JG. The ubiquitous and ancient ER membrane protein complex (EMC): tether or not? F1000Res. 2015;4:624. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Lahiri S, Chao JT, Tavassoli S, et al. A conserved endoplasmic reticulum membrane protein complex (EMC) facilitates phospholipid transfer from the ER to mitochondria. PLoS Biol. 2014;12(10):e1001969 10.1371/journal.pbio.1001969. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Xiong L, Zhang L, Yang Y, et al. ER complex proteins are required for rhodopsin biosynthesis and photoreceptor survival in drosophila and mice. Cell Death Differ. 2020;27(2):646‐661. 10.1038/s41418-019-0378-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Area‐Gomez E, Schon EA. Mitochondrial genetics and disease. J Child Neurol. 2014;29:1208‐1215. [DOI] [PubMed] [Google Scholar]
- 8. Satoh T, Ohba A, Liu Z, Inagaki T, Satoh AK. dPob/EMC is essential for biosynthesis of rhodopsin and other multi‐pass membrane proteins in drosophila photoreceptors. Elife. 2015;4:e06306 10.7554/eLife.06306 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Umair M, Hassan A, Jan A, et al. Homozygous sequence variants in the FKBP10 gene underlie osteogenesis imperfecta in consanguineous families. J Hum Genet. 2016;61(3):207‐213. 10.1038/jhg.2015.129. [DOI] [PubMed] [Google Scholar]
- 10. Asiri A, Aloyouni E, Umair M, et al. Mutated RAP1GDS1 causes a new syndrome of dysmorphic feature, intellectual disability & speech delay. Ann Clin Transl Neurol. 2020;7(6):956‐964. 10.1002/acn3.51059. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Massadeh S, Umair M, Alaamery M, Alfadhel M. A novel homozygous non‐sense mutation in the catalytic domain of MTHFR causes severe 5,10‐methylenetetrahydrofolate reductase deficiency. Front Neurol. 2019;10:411 10.3389/fneur.2019.00411. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. al Mutairi F, Alkhalaf R, Alkhorayyef A, et al. Homozygous truncating NEK10 mutation, associated with primary ciliary dyskinesia: a case report. BMC Pulm Med. 2020;20(1):141 10.1186/s12890-020-1175-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Christianson JC, Olzmann JA, Shaler TA, et al. Defining human ERAD networks through an integrative mapping strategy. Nat Cell Biol. 2011;14:93‐105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Richard M, Boulin T, Robert VJ, et al. Biosynthesis of ionotropic acetylcholine receptors requires the evolutionarily conserved ER membrane complex. Proc Natl Acad Sci U S A. 2013;110:E1055‐E1063. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Li Y, Zhao Y, Hu J, et al. A novel ER‐localized transmembrane protein, EMC6, interacts with RAB5A and regulates cell autophagy. Autophagy. 2013;9:150‐163. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Harel T, Yesil G, Bayram Y, et al. Monoallelic and biallelic variants in EMC1 identified in individuals with global developmental delay, hypotonia, scoliosis, and cerebellar atrophy. Am J Hum Genet. 2016;98:562‐570. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Geetha TS, Lingappa L, Jain AR, et al. A novel splice variant in EMC1 is associated with cerebellar atrophy, visual impairment, psychomotor retardation with epilepsy. Mol Genet Genomic Med. 2018;6(2):282‐287. 10.1002/mgg3.352. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Wang X, Gong W, Liu Y, Zhou W, Wang M, et al. Molecular cloning of a novel secreted peptide, INM02, and regulation of its expression by glucose. J Endocrinol. 2009;202:355‐364. [DOI] [PubMed] [Google Scholar]
- 19. Junes‐Gill KS, Gallaher TK, Gluzman‐Poltorak Z, et al. hHSS1: a novel secreted factor and suppressor of glioma growth located at chromosome 19q13.33. J Neurooncol. 2011;102:197‐211. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Junes‐Gill KS, Lawrence CE, Wheeler CJ, et al. Human hematopoietic signal peptide‐containing secreted 1 (hHSS1) modulates genes and pathways in glioma: implications for the regulation of tumorigenicity and angiogenesis. BMC Cancer. 2014;14:920. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Xu B, Hsu PK, Stark KL, Karayiorgou M, Gogos JA. Derepression of a neuronal inhibitor due to miRNA dysregulation in a schizophrenia‐related microdeletion. Cell. 2013;152:262‐275. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Zhou Y, Wu F, Zhang M, et al. EMC10 governs male fertility via maintaining sperm ion balance. J Mol Cell Biol. 2018;10(6):503‐514. 10.1093/jmcb/mjy024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Xia Y, Yan LH, Huang B, Liu M, Liu X, Huang C. Pathogenic mutation of UBQLN2 impairs its interaction with UBXD8 and disrupts endoplasmic reticulum‐associated protein degradation. J Neurochem. 2014;129:99‐106. [DOI] [PubMed] [Google Scholar]
- 24. Credle JJ, Forcelli PA, Delannoy M, et al. a‐Synuclein‐mediated inhibition of ATF6 processing into COPII vesicles disrupts UPR signaling in Parkinson's disease. Neurobiol Dis. 2015;76:112‐125. [DOI] [PubMed] [Google Scholar]
- 25. Barral JM, Broadley SA, Schaffar G, Hartl FU. Roles of molecular chaperones in protein misfolding diseases. Semin Cell Dev Biol. 2004;15:17‐29. [DOI] [PubMed] [Google Scholar]
- 26. Watkin LB, Jessen B, Wiszniewski W, et al. COPA mutations impair ER‐Golgi transport and cause hereditary autoimmune‐mediated lung disease and arthritis. Nat Genet. 2015;47:654‐660. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Lalani SR, Liu P, Rosenfeld JA, et al. Recurrent muscle weakness with rhabdomyolysis, metabolic crises, and cardiac arrhythmia due to bi‐allelic TANGO2 mutations. Am J Hum Genet. 2016;98(2):347‐357. 10.1016/j.ajhg.2015.12.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Kremer LS, Distelmaier F, Alhaddad B, et al. Bi‐allelic truncating mutations in TANGO2 cause infancy‐onset recurrent metabolic crises with encephalocardiomyopathy. Am J Hum Genet. 2016;98(2):358‐362. 10.1016/j.ajhg.2015.12.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data will be provided by the corresponding author upon potential requests.