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Kim H, Bae S, Kim SJ. Increased SNAI2 expression and defective collagen adhesion in cells with pediatric dementia, juvenile ceroid lipofuscinosis. Biochem Biophys Res Commun 2024; 738:150561. [PMID: 39154552 DOI: 10.1016/j.bbrc.2024.150561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2024] [Accepted: 08/14/2024] [Indexed: 08/20/2024]
Abstract
Dementia-related neurodegenerative diseases (NDDs), including Alzheimer's disease (AD), are known to be caused by accumulation of toxic proteins. However, the molecular mechanisms that cause neurodegeneration and its biophysical effects on cells remain unclear. In this study, we used juvenile neuronal ceroid lipofuscinosis (JNCL), a pediatric dementia with a clear etiology of mutations in ceroid lipofuscinosis neuronal 3 (CLN3), to explore the changes in cell adhesion, a biophysical process that regulates neuronal development and survival. We used JNCL cerebral organoid gene expression datasets to identify the biological pathways that affect neural development, and found enriched gene expression in the epithelial-mesenchymal transition (EMT) pathway and increased expression of its inducer snail family transcriptional repressor 2 (SNAI2). A cell adhesion assay using lymphoblasts from patients with JNCL revealed defective adhesion to cell culture plates, glass surfaces, collagen type I, and neuroblast-like cells. To determine whether inhibition of EMT could improve the cell adhesion of JNCL lymphoblasts, we used all-trans retinoic acid, a well-known EMT inhibitor and inducer of neural differentiation. In JNCL lymphoblasts, ATRA treatment enhanced adhesion to collagen type I and these effects were abolished by Ca2+ chelator. These results provide new insights into the role of CLN3 and cell adhesion in the pathogenesis of NDD.
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Affiliation(s)
- Hyungkuen Kim
- Department of Biotechnology, College of Life and Health Sciences, Hoseo University, Baebang, Asan, Chungnam, 31499, South Korea
| | - Sechul Bae
- Jung Cosmetic Corporation, Sinchang, Asan, Chungnam, 31537, South Korea
| | - Sung-Jo Kim
- Department of Biotechnology, College of Life and Health Sciences, Hoseo University, Baebang, Asan, Chungnam, 31499, South Korea.
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2
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Chen J, Gao G, He Y, Zhang Y, Wu H, Dai P, Zheng Q, Huang H, Weng J, Zheng Y, Huang Y. Construction and validation of a novel lysosomal signature for hepatocellular carcinoma prognosis, diagnosis, and therapeutic decision-making. Sci Rep 2023; 13:22624. [PMID: 38114725 PMCID: PMC10730614 DOI: 10.1038/s41598-023-49985-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 12/14/2023] [Indexed: 12/21/2023] Open
Abstract
Lysosomes is a well-recognized oncogenic driver and chemoresistance across variable cancer types, and has been associated with tumor invasiveness, metastasis, and poor prognosis. However, the significance of lysosomes in hepatocellular carcinoma (HCC) is not well understood. Lysosomes-related genes (LRGs) were downloaded from Genome Enrichment Analysis (GSEA) databases. Lysosome-related risk score (LRRS), including eight LRGs, was constructed via expression difference analysis (DEGs), univariate and LASSO-penalized Cox regression algorithm based on the TCGA cohort, while the ICGC cohort was obtained for signature validation. Based on GSE149614 Single-cell RNA sequencing data, model gene expression and liver tumor niche were further analyzed. Moreover, the functional enrichments, tumor microenvironment (TME), and genomic variation landscape between LRRSlow/LRRShigh subgroup were systematically investigated. A total of 15 Lysosomes-related differentially expressed genes (DELRGs) in HCC were detected, and then 10 prognosis DELRGs were screened out. Finally, the 8 optimal DELRGs (CLN3, GBA, CTSA, BSG, APLN, SORT1, ANXA2, and LAPTM4B) were selected to construct the LRRS prognosis signature of HCC. LRRS was considered as an independent prognostic factor and was associated with advanced clinicopathological features. LRRS also proved to be a potential marker for HCC diagnosis, especially for early-stage HCC. Then, a nomogram integrating the LRRS and clinical parameters was set up displaying great prognostic predictive performance. Moreover, patients with high LRRS showed higher tumor stemness, higher heterogeneity, and higher genomic alteration status than those in the low LRRS group and enriched in metabolism-related pathways, suggesting its underlying role in the progression and development of liver cancer. Meanwhile, the LRRS can affect the proportion of immunosuppressive cell infiltration, making it a vital immunosuppressive factor in the tumor microenvironment. Additionally, HCC patients with low LRRS were more sensitive to immunotherapy, while patients in the high LRRS group responded better to chemotherapy. Upon single-cell RNA sequencing, CLN3, GBA, and LAPTM4B were found to be specially expressed in hepatocytes, where they promoted cell progression. Finally, RT-qPCR and external datasets confirmed the mRNA expression levels of model genes. This study provided a direct links between LRRS signature and clinical characteristics, tumor microenvironment, and clinical drug-response, highlighting the critical role of lysosome in the development and treatment resistance of liver cancer, providing valuable insights into the prognosis prediction and treatment response of HCC, thereby providing valuable insights into prognostic prediction, early diagnosis, and therapeutic response of HCC.
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Affiliation(s)
- Jianlin Chen
- Shengli Clinical Medical College, Fujian Medical University, Fujian, 350001, Fuzhou, China
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fujian, 350001, Fuzhou, China
- Central Laboratory, Fujian Provincial Hospital, Fujian, 350001, Fuzhou, China
- Center for Experimental Research in Clinical Medicine, Fujian Provincial Hospital, Fujian, 350001, Fuzhou, China
| | - Gan Gao
- Department of Clinical Laboratory, Liuzhou Hospital, Guangzhou Women and Children's Medical Center, Liuzhou, 545616, Guangxi, China
- Guangxi Clinical Research Center for Obstetrics and Gynecology, Liuzhou, 545616, Guangxi, China
| | - Yufang He
- Shengli Clinical Medical College, Fujian Medical University, Fujian, 350001, Fuzhou, China
| | - Yi Zhang
- Shengli Clinical Medical College, Fujian Medical University, Fujian, 350001, Fuzhou, China
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fujian, 350001, Fuzhou, China
| | - Haixia Wu
- Shengli Clinical Medical College, Fujian Medical University, Fujian, 350001, Fuzhou, China
| | - Peng Dai
- Department of Anesthesiology, The First People's Hospital of Foshan, Foshan, 528000, Guangdong, China
| | - Qingzhu Zheng
- Department of Clinical Laboratory, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Hengbin Huang
- Shengli Clinical Medical College, Fujian Medical University, Fujian, 350001, Fuzhou, China
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fujian, 350001, Fuzhou, China
| | - Jiamiao Weng
- Shengli Clinical Medical College, Fujian Medical University, Fujian, 350001, Fuzhou, China
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fujian, 350001, Fuzhou, China
| | - Yue Zheng
- Shengli Clinical Medical College, Fujian Medical University, Fujian, 350001, Fuzhou, China
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fujian, 350001, Fuzhou, China
| | - Yi Huang
- Shengli Clinical Medical College, Fujian Medical University, Fujian, 350001, Fuzhou, China.
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fujian, 350001, Fuzhou, China.
- Central Laboratory, Fujian Provincial Hospital, Fujian, 350001, Fuzhou, China.
- Center for Experimental Research in Clinical Medicine, Fujian Provincial Hospital, Fujian, 350001, Fuzhou, China.
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Calcagni' A, Staiano L, Zampelli N, Minopoli N, Herz NJ, Di Tullio G, Huynh T, Monfregola J, Esposito A, Cirillo C, Bajic A, Zahabiyon M, Curnock R, Polishchuk E, Parkitny L, Medina DL, Pastore N, Cullen PJ, Parenti G, De Matteis MA, Grumati P, Ballabio A. Loss of the batten disease protein CLN3 leads to mis-trafficking of M6PR and defective autophagic-lysosomal reformation. Nat Commun 2023; 14:3911. [PMID: 37400440 DOI: 10.1038/s41467-023-39643-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 06/21/2023] [Indexed: 07/05/2023] Open
Abstract
Batten disease, one of the most devastating types of neurodegenerative lysosomal storage disorders, is caused by mutations in CLN3. Here, we show that CLN3 is a vesicular trafficking hub connecting the Golgi and lysosome compartments. Proteomic analysis reveals that CLN3 interacts with several endo-lysosomal trafficking proteins, including the cation-independent mannose 6 phosphate receptor (CI-M6PR), which coordinates the targeting of lysosomal enzymes to lysosomes. CLN3 depletion results in mis-trafficking of CI-M6PR, mis-sorting of lysosomal enzymes, and defective autophagic lysosomal reformation. Conversely, CLN3 overexpression promotes the formation of multiple lysosomal tubules, which are autophagy and CI-M6PR-dependent, generating newly formed proto-lysosomes. Together, our findings reveal that CLN3 functions as a link between the M6P-dependent trafficking of lysosomal enzymes and lysosomal reformation pathway, explaining the global impairment of lysosomal function in Batten disease.
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Affiliation(s)
- Alessia Calcagni'
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA.
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, 77030, USA.
| | - Leopoldo Staiano
- Telethon Institute of Genetics and Medicine (TIGEM), Naples, Italy
- Institute for Genetic and Biomedical Research, National Research Council (CNR), Milan, Italy
| | | | - Nadia Minopoli
- Telethon Institute of Genetics and Medicine (TIGEM), Naples, Italy
- Department of Translational Medical Sciences, Federico II University, 80131, Naples, Italy
| | - Niculin J Herz
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, 77030, USA
| | | | - Tuong Huynh
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, 77030, USA
| | | | - Alessandra Esposito
- Telethon Institute of Genetics and Medicine (TIGEM), Naples, Italy
- SSM School for Advanced Studies, Federico II University, Naples, Italy
| | - Carmine Cirillo
- Telethon Institute of Genetics and Medicine (TIGEM), Naples, Italy
| | - Aleksandar Bajic
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, 77030, USA
| | - Mahla Zahabiyon
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, 77030, USA
| | - Rachel Curnock
- School of Biochemistry, Biomedical Sciences Building, University of Bristol, Bristol, BS8 1TD, UK
| | - Elena Polishchuk
- Telethon Institute of Genetics and Medicine (TIGEM), Naples, Italy
| | - Luke Parkitny
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, 77030, USA
| | - Diego Luis Medina
- Telethon Institute of Genetics and Medicine (TIGEM), Naples, Italy
- Department of Translational Medical Sciences, Federico II University, 80131, Naples, Italy
| | - Nunzia Pastore
- Telethon Institute of Genetics and Medicine (TIGEM), Naples, Italy
- Department of Translational Medical Sciences, Federico II University, 80131, Naples, Italy
| | - Peter J Cullen
- School of Biochemistry, Biomedical Sciences Building, University of Bristol, Bristol, BS8 1TD, UK
| | - Giancarlo Parenti
- Telethon Institute of Genetics and Medicine (TIGEM), Naples, Italy
- Department of Translational Medical Sciences, Federico II University, 80131, Naples, Italy
| | - Maria Antonietta De Matteis
- Telethon Institute of Genetics and Medicine (TIGEM), Naples, Italy
- Department of Molecular Medicine and Medical Biotechnology, Federico II University, Naples, Italy
| | - Paolo Grumati
- Telethon Institute of Genetics and Medicine (TIGEM), Naples, Italy
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - Andrea Ballabio
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA.
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, 77030, USA.
- Telethon Institute of Genetics and Medicine (TIGEM), Naples, Italy.
- Department of Translational Medical Sciences, Federico II University, 80131, Naples, Italy.
- SSM School for Advanced Studies, Federico II University, Naples, Italy.
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Wang H, Yang C, Li D, Wang R, Li Y, Lv L. Bioinformatics analysis and experimental validation of a novel autophagy-related signature relevant to immune infiltration for recurrence prediction after curative hepatectomy. Aging (Albany NY) 2023; 15:2610-2630. [PMID: 37014321 PMCID: PMC10120910 DOI: 10.18632/aging.204632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 03/15/2023] [Indexed: 04/05/2023]
Abstract
Hepatocellular carcinoma (HCC) remains imposing an enormous economic and healthcare burden worldwide. In this present study, we constructed and validated a novel autophagy-related gene signature to predict the recurrence of HCC patients. A total of 29 autophagy-related differentially expressed genes were identified. A five-gene signature (CLN3, HGF, TRIM22, SNRPD1, and SNRPE) was constructed for HCC recurrence prediction. Patients in high-risk groups exhibited a significantly poor prognosis compared with low-risk patients both in the training set (GSE14520 dataset) and the validation set (TCGA and GSE76427 dataset). Multivariate cox regression analysis demonstrated that the 5-gene signature was an independent risk factor for recurrence-free survival (RFS) in HCC patients. The nomograms incorporating 5-gene signature and clinical prognostic risk factors were able to effectively predict RFS. KEGG and GSEA analysis revealed that the high-risk group was enriched with multiple oncology characteristics and invasive-related pathways. Besides, the high-risk group had a higher level of immune cells and higher levels of immune checkpoint-related gene expression in the tumor microenvironment, suggesting that they might be more likely to benefit from immunotherapy. Finally, the immunohistochemistry and cell experiments confirmed the role of SNRPE, the most significant gene in the gene signature. SNRPE was significantly overexpressed in HCC. After SNRPE knockdown, the proliferation, migration and invasion ability of the HepG2 cell line were significantly inhibited. Our study established a novel five-gene signature and nomogram to predict RFS of HCC, which may help in clinical decision-making for individual treatment.
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Affiliation(s)
- Huaxiang Wang
- Department of Hepatobiliary Surgery, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, Fujian 350025, China
- Department of Hepatobiliary Surgery, 900 Hospital of the Joint Logistic Team, Fuzhou, Fujian 350025, China
- Department of Hepatobiliary and pancreatic Surgery, Taihe Hospital, Affiliated Hospital of Hubei University of Medicine, Shiyan, Hubei 442000, China
| | - Chengkai Yang
- Department of Hepatobiliary Surgery, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, Fujian 350025, China
- Department of Hepatobiliary Surgery, 900 Hospital of the Joint Logistic Team, Fuzhou, Fujian 350025, China
| | - Dong Li
- Department of Anesthesiology, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, Hubei 430061, China
| | - Ruling Wang
- Department of Hepatobiliary and pancreatic Surgery, Taihe Hospital, Affiliated Hospital of Hubei University of Medicine, Shiyan, Hubei 442000, China
| | - Yanbing Li
- Department of Hepatobiliary and pancreatic Surgery, Taihe Hospital, Affiliated Hospital of Hubei University of Medicine, Shiyan, Hubei 442000, China
| | - Lizhi Lv
- Department of Hepatobiliary Surgery, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, Fujian 350025, China
- Department of Hepatobiliary Surgery, 900 Hospital of the Joint Logistic Team, Fuzhou, Fujian 350025, China
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Identification and Validation of Autophagy-Related Gene Nomograms to Predict the Prognostic Value of Patients with Cervical Cancer. JOURNAL OF ONCOLOGY 2021; 2021:5583400. [PMID: 34257653 PMCID: PMC8253645 DOI: 10.1155/2021/5583400] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 05/21/2021] [Accepted: 06/14/2021] [Indexed: 01/06/2023]
Abstract
Autophagy is a process of engulfing one's own cytoplasmic proteins or organelles and coating them into vesicles, fusing with lysosomes to form autophagic lysosomes, and degrading the contents it encapsulates. Increasing studies have shown that autophagy disorders are closely related to the occurrence of tumors. However, the prognostic role of autophagy genes in cervical cancer is still unclear. In this study, we constructed risk signatures of autophagy-related genes (ARGs) to predict the prognosis of cervical cancer. The expression profiles and clinical information of autophagy gene sets were downloaded from TCGA and GSE52903 queues as training and validation sets. The normal cervical tissue expression profile data from the UCSC XENA website (obtained from GTEx) were used as a supplement to the TCGA normal cervical tissue. Univariate COX regression analysis of 17 different autophagy genes was performed with the consensus approach. Tumor samples from TCGA were divided into six subtypes, and the clinical traits of the six subtypes had different distributions. Further absolute shrinkage and selection operator (LASSO) and multivariable COX regression yielded an autophagy genetic risk model consisting of eight genes. In the training set, the survival rate of the high-risk group was lower than that of the low-risk group (p < 0.0001). In the validation set, the AUC area of the receiver operating characteristic (ROC) curve was 0.772 for the training set and 0.889 for the verification set. We found that high and low risk scores were closely related to TNM stage (p < 0.05). The nomogram shows that the risk score combined with other indicators, such as G, T, M, and N, better predicts 1-, 3-, and 5-year survival rates. Decline curve analysis (DCA) shows that the risk model combined with other indicators produces better clinical efficacy. Immune cells with an enrichment score of 28 showed statistically significant differences related to high and low risk. GSEA enrichment analysis showed the main enrichment being in KRAS activation, genes defining epithelial and mesenchymal transition (EMT), raised in response to the low oxygen level (hypoxia) gene and NF-kB in response to TNF. These pathways are closely related to the occurrence of tumors. Our constructed autophagy risk signature may be a prognostic tool for cervical cancer.
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Abstract
Epidemiological studies have reported an inverse correlation between cancer and neurodegenerative disorders, and increasing evidence shows that similar genes and pathways are dysregulated in both diseases but in a contrasting manner. Given the genetic convergence of the neuronal ceroid lipofuscinoses (NCLs), a family of rare neurodegenerative disorders commonly known as Batten disease, and other neurodegenerative diseases, we sought to explore the relationship between cancer and the NCLs. In this review, we survey data from The Cancer Genome Atlas and available literature on the roles of NCL genes in different oncogenic processes to reveal links between all the NCL genes and cancer-related processes. We also discuss the potential contributions of NCL genes to cancer immunology. Based on our findings, we propose that further research on the relationship between cancer and the NCLs may help shed light on the roles of NCL genes in both diseases and possibly guide therapy development.
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Mirza M, Vainshtein A, DiRonza A, Chandrachud U, Haslett LJ, Palmieri M, Storch S, Groh J, Dobzinski N, Napolitano G, Schmidtke C, Kerkovich DM. The CLN3 gene and protein: What we know. Mol Genet Genomic Med 2019; 7:e859. [PMID: 31568712 PMCID: PMC6900386 DOI: 10.1002/mgg3.859] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Revised: 05/30/2019] [Accepted: 05/31/2019] [Indexed: 12/11/2022] Open
Abstract
Background One of the most important steps taken by Beyond Batten Disease Foundation in our quest to cure juvenile Batten (CLN3) disease is to understand the State of the Science. We believe that a strong understanding of where we are in our experimental understanding of the CLN3 gene, its regulation, gene product, protein structure, tissue distribution, biomarker use, and pathological responses to its deficiency, lays the groundwork for determining therapeutic action plans. Objectives To present an unbiased comprehensive reference tool of the experimental understanding of the CLN3 gene and gene product of the same name. Methods BBDF compiled all of the available CLN3 gene and protein data from biological databases, repositories of federally and privately funded projects, patent and trademark offices, science and technology journals, industrial drug and pipeline reports as well as clinical trial reports and with painstaking precision, validated the information together with experts in Batten disease, lysosomal storage disease, lysosome/endosome biology. Results The finished product is an indexed review of the CLN3 gene and protein which is not limited in page size or number of references, references all available primary experiments, and does not draw conclusions for the reader. Conclusions Revisiting the experimental history of a target gene and its product ensures that inaccuracies and contradictions come to light, long‐held beliefs and assumptions continue to be challenged, and information that was previously deemed inconsequential gets a second look. Compiling the information into one manuscript with all appropriate primary references provides quick clues to which studies have been completed under which conditions and what information has been reported. This compendium does not seek to replace original articles or subtopic reviews but provides an historical roadmap to completed works.
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Affiliation(s)
| | | | - Alberto DiRonza
- Baylor College of Medicine, Houston, Texas.,Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, Texas
| | - Uma Chandrachud
- Center for Genomic Medicine, Massachusetts General Hospital/Harvard Medical School, Boston, Massachusetts
| | | | - Michela Palmieri
- Baylor College of Medicine, Houston, Texas.,Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, Texas
| | - Stephan Storch
- Biochemistry, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Janos Groh
- Neurology, University Hospital Wuerzburg, Wuerzburg, Germany
| | - Niv Dobzinski
- Biochemistry and Biophysics, UCSF School of Medicine, San Francisco, California
| | | | - Carolin Schmidtke
- Biochemistry, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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