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Zhen X, Betti MJ, Kars ME, Patterson AR, Medina-Torres EA, Scheffler Mendoza SC, Herrera Sánchez DA, Lopez-Herrera G, Svyryd Y, Mutchinick OM, Gamazon ER, Rathmell JC, Itan Y, Markle J, O'Farrill Romanillos P, Lugo-Reyes SO, Martinez-Barricarte R. Molecular and Clinical Characterization of a Founder Mutation Causing G6PC3 Deficiency. J Clin Immunol 2024; 45:53. [PMID: 39630167 PMCID: PMC11618172 DOI: 10.1007/s10875-024-01836-0] [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: 06/17/2024] [Accepted: 11/06/2024] [Indexed: 12/07/2024]
Abstract
G6PC3 deficiency is a monogenic immunometabolic disorder that causes severe congenital neutropenia type 4. Patients display heterogeneous extra-hematological manifestations, contributing to delayed diagnosis. Here, we investigated the origin and functional consequence of the G6PC3 c.210delC variant found in patients of Mexican descent. Based on the shared haplotypes amongst mutation carriers, we estimated that this variant originated from a founder effect in a common ancestor. Furthermore, by ancestry analysis, we concluded that it appeared in the indigenous Mexican population. At the protein level, we showed that this frameshift mutation leads to an aberrant protein expression in overexpression and patient-derived Epstein-Barr Virus-immortalized B (EBV-B) cells. The neutropenia observed in G6PC3-deficient patients is driven by the intracellular accumulation of the metabolite 1,5-anhydroglucitol-6-phosphate (1,5-AG6P) that inhibits glycolysis. We characterized how the c.210delC variant impacts glycolysis by performing extracellular flux assays on patient-derived EBV-B cells. When treated with 1,5-anhydroglucitol (1,5-AG), the precursor to 1,5-AG6P, patient cells exhibited markedly reduced engagement of glycolysis. Finally, we compared the clinical presentation of patients with the mutation c.210delC and all other G6PC3-deficient patients reported in the literature, and we found that the c.210delC carriers display all prominent clinical features observed in prior patients. In conclusion, G6PC3 c.210delC is a loss-of-function mutation that arose from a founder effect in the indigenous Mexican population. These findings may facilitate the diagnosis of additional patients in this geographical area. Moreover, the in vitro 1,5-AG-dependent functional assay used in our study could be employed to assess the pathogenicity of additional G6PC3 variants.
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Affiliation(s)
- Xin Zhen
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Division of Molecular Pathogenesis, Department of Pathology Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Michael J Betti
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Meltem Ece Kars
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Andrew R Patterson
- Division of Molecular Pathogenesis, Department of Pathology Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Center for Immunobiology, Nashville, TN, USA
| | | | | | | | - Gabriela Lopez-Herrera
- Immune deficiencies laboratory, National Institute of Pediatrics, Health Secretariat, Mexico City, Mexico
| | - Yevgeniya Svyryd
- Department of Genetics, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Osvaldo M Mutchinick
- Department of Genetics, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Eric R Gamazon
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jeffrey C Rathmell
- Division of Molecular Pathogenesis, Department of Pathology Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Center for Immunobiology, Nashville, TN, USA
- Vanderbilt Institute for Infection, Immunology and Inflammation, Nashville, TN, USA
| | - Yuval Itan
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Janet Markle
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Division of Molecular Pathogenesis, Department of Pathology Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Center for Immunobiology, Nashville, TN, USA
- Vanderbilt Institute for Infection, Immunology and Inflammation, Nashville, TN, USA
| | | | - Saul Oswaldo Lugo-Reyes
- Immune deficiencies laboratory, National Institute of Pediatrics, Health Secretariat, Mexico City, Mexico.
| | - Ruben Martinez-Barricarte
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
- Division of Molecular Pathogenesis, Department of Pathology Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA.
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA.
- Vanderbilt Center for Immunobiology, Nashville, TN, USA.
- Vanderbilt Institute for Infection, Immunology and Inflammation, Nashville, TN, USA.
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2
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Zur Nedden S, Safari MS, Weber D, Kuenkel L, Garmsiri C, Lang L, Orset C, Freret T, Haelewyn B, Hotze M, Kwiatkowski M, Sarg B, Faserl K, Savic D, Skvortsova II, Krogsdam A, Carollo S, Trajanoski Z, Oberacher H, Zlotek D, Ostermaier F, Cameron A, Baier G, Baier-Bitterlich G. Protein kinase N1 deficiency results in upregulation of cerebral energy metabolism and is highly protective in in vivo and in vitro stroke models. Metabolism 2024; 161:156039. [PMID: 39332493 DOI: 10.1016/j.metabol.2024.156039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2024] [Revised: 09/06/2024] [Accepted: 09/21/2024] [Indexed: 09/29/2024]
Abstract
BACKGROUND AND AIM We recently identified protein kinase N1 (PKN1) as a master regulator of brain development. However, its function in the adult brain has not been clearly established. In this study, we assessed the cerebral energetic phenotype of wildtype (WT) and global Pkn1 knockout (Pkn1-/-) animals under physiological and pathophysiological conditions. METHODS Cerebral energy metabolism was analyzed by 13C6-glucose tracing in vivo and real time seahorse analysis of extracellular acidification rates as well as mitochondrial oxygen consumption rates (OCR) of brain slice punches in vitro. Isolated WT and Pkn1-/- brain mitochondria were tested for differences in OCR with different substrates. Metabolite levels were determined by mass spectrometric analysis in brain slices under control and energetic stress conditions, induced by oxygen-glucose deprivation and reperfusion, an in vitro model of ischemic stroke. Differences in enzyme activities were assessed by enzymatic assays, western blotting and bulk RNA sequencing. A middle cerebral artery occlusion stroke model was used to analyze lesion volumes and functional recovery in WT and Pkn1-/- mice. RESULTS Pkn1 deficiency resulted in a remarkable upregulation of cerebral energy metabolism, in vivo and in vitro. This was due to two separate mechanisms involving an enhanced glycolytic flux and higher pyruvate-induced mitochondrial OCR. Mechanistically we show that Pkn1-/- brain tissue exhibits an increased activity of the glycolysis rate-limiting enzyme phosphofructokinase. Additionally, glucose-1,6-bisphosphate levels, a metabolite that increases mitochondrial pyruvate uptake, were elevated upon Pkn1 deficiency. Consequently, Pkn1-/- brain slices had more ATP and a greater accumulation of ATP degradation metabolites during energetic stress. This translated into increased phosphorylation and activity of adenosine monophosphate (AMP)-activated protein kinase (AMPK) during in vitro stroke. Accordingly, Pkn1-/- brain slices showed a post-ischemic transcriptional upregulation of energy metabolism pathways and Pkn1 deficiency was strongly protective in in vitro and in vivo stroke models. While inhibition of mitochondrial pyruvate uptake only moderately affected the protective phenotype, inhibition of AMPK in Pkn1-/- slices increased post-ischemic cell death in vitro. CONCLUSION This is the first study to comprehensively demonstrate an essential and unique role of PKN1 in cerebral energy metabolism, regulating glycolysis and mitochondrial pyruvate-induced respiration. We further uncovered a highly protective phenotype of Pkn1 deficiency in both, in vitro and in vivo stroke models, validating inhibition of PKN1 as a promising new therapeutic target for the development of novel stroke therapies.
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Affiliation(s)
- Stephanie Zur Nedden
- Medical University of Innsbruck, CCB-Biocenter, Institute of Neurobiochemistry, Innrain 80-82, A-6020 Innsbruck, Austria.
| | - Motahareh S Safari
- Medical University of Innsbruck, CCB-Biocenter, Institute of Neurobiochemistry, Innrain 80-82, A-6020 Innsbruck, Austria
| | - Dido Weber
- Medical University of Innsbruck, CCB-Biocenter, Institute of Neurobiochemistry, Innrain 80-82, A-6020 Innsbruck, Austria
| | - Louisa Kuenkel
- Medical University of Innsbruck, CCB-Biocenter, Institute of Neurobiochemistry, Innrain 80-82, A-6020 Innsbruck, Austria
| | - Carolin Garmsiri
- Medical University of Innsbruck, CCB-Biocenter, Institute of Neurobiochemistry, Innrain 80-82, A-6020 Innsbruck, Austria
| | - Luisa Lang
- Medical University of Innsbruck, CCB-Biocenter, Institute of Neurobiochemistry, Innrain 80-82, A-6020 Innsbruck, Austria
| | - Cyrille Orset
- Normandie University, UNICAEN, ESR3P, INSERM UMR-S U1237, Physiopathology and Imaging of Neurological Disorders (PhIND), Institute of Blood and Brain @ Caen-Normandie (BB@C), GIP Cyceron, Caen, France
| | - Tom Freret
- Normandie University, UNICAEN, ESR3P, INSERM UMR-S U1237, Physiopathology and Imaging of Neurological Disorders (PhIND), Institute of Blood and Brain @ Caen-Normandie (BB@C), GIP Cyceron, Caen, France
| | - Benoît Haelewyn
- Normandie University, UNICAEN, ESR3P, INSERM UMR-S U1237, Physiopathology and Imaging of Neurological Disorders (PhIND), Institute of Blood and Brain @ Caen-Normandie (BB@C), GIP Cyceron, Caen, France
| | - Madlen Hotze
- University of Innsbruck, Department of Biochemistry, Institute of Bioanalytic & Intermediary Metabolism, 6020 Innsbruck, Austria
| | - Marcel Kwiatkowski
- University of Innsbruck, Department of Biochemistry, Institute of Bioanalytic & Intermediary Metabolism, 6020 Innsbruck, Austria
| | - Bettina Sarg
- Medical University of Innsbruck, CCB-Biocenter, Institute of Medical Biochemistry, Protein Core Facility, 6020 Innsbruck, Austria
| | - Klaus Faserl
- Medical University of Innsbruck, CCB-Biocenter, Institute of Medical Biochemistry, Protein Core Facility, 6020 Innsbruck, Austria
| | - Dragana Savic
- Medical University of Innsbruck, Laboratory for Experimental and Translational Research on Radiation Oncology (EXTRO-Lab), Department of Therapeutic Radiology and Oncology, 6020 Innsbruck, Austria; Tyrolean Cancer Research Institute, Innsbruck A-6020, Austria
| | - Ira-Ida Skvortsova
- Medical University of Innsbruck, Laboratory for Experimental and Translational Research on Radiation Oncology (EXTRO-Lab), Department of Therapeutic Radiology and Oncology, 6020 Innsbruck, Austria; Tyrolean Cancer Research Institute, Innsbruck A-6020, Austria
| | - Anne Krogsdam
- Medical University of Innsbruck, CCB-Biocenter, Institute of Bioinformatics, 6020 Innsbruck, Austria
| | - Sandro Carollo
- Medical University of Innsbruck, CCB-Biocenter, Institute of Bioinformatics, 6020 Innsbruck, Austria
| | - Zlatko Trajanoski
- Medical University of Innsbruck, CCB-Biocenter, Institute of Bioinformatics, 6020 Innsbruck, Austria
| | - Herbert Oberacher
- Medical University of Innsbruck, Institute of Legal Medicine and Core Facility Metabolomics, 6020 Innsbruck, Austria
| | - Dominik Zlotek
- Medical University of Innsbruck, CCB-Biocenter, Institute of Neurobiochemistry, Innrain 80-82, A-6020 Innsbruck, Austria
| | - Florian Ostermaier
- Medical University of Innsbruck, CCB-Biocenter, Institute of Neurobiochemistry, Innrain 80-82, A-6020 Innsbruck, Austria
| | - Angus Cameron
- Kinase Biology Laboratory, John Vane Science Centre, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - Gottfried Baier
- Medical University of Innsbruck, Institute for Cell Genetics, 6020 Innsbruck, Austria
| | - Gabriele Baier-Bitterlich
- Medical University of Innsbruck, CCB-Biocenter, Institute of Neurobiochemistry, Innrain 80-82, A-6020 Innsbruck, Austria
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Alur V, Vastrad B, Raju V, Vastrad C, Kotturshetti S. The identification of key genes and pathways in polycystic ovary syndrome by bioinformatics analysis of next-generation sequencing data. MIDDLE EAST FERTILITY SOCIETY JOURNAL 2024; 29:53. [DOI: 10.1186/s43043-024-00212-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Accepted: 11/17/2024] [Indexed: 01/02/2025] Open
Abstract
Abstract
Background
Polycystic ovary syndrome (PCOS) is a reproductive endocrine disorder. The specific molecular mechanism of PCOS remains unclear. The aim of this study was to apply a bioinformatics approach to reveal related pathways or genes involved in the development of PCOS.
Methods
The next-generation sequencing (NGS) dataset GSE199225 was downloaded from the gene expression omnibus (GEO) database and NGS dataset analyzed is obtained from in vitro culture of PCOS patients’ muscle cells and muscle cells of healthy lean control women. Differentially expressed gene (DEG) analysis was performed using DESeq2. The g:Profiler was utilized to analyze the gene ontology (GO) and REACTOME pathways of the differentially expressed genes. A protein–protein interaction (PPI) network was constructed and module analysis was performed using HiPPIE and cytoscape. The miRNA-hub gene regulatory network and TF-hub gene regulatory network were constructed. The hub genes were validated by using receiver operating characteristic (ROC) curve analysis.
Results
We have identified 957 DEG in total, including 478 upregulated genes and 479 downregulated gene. GO terms and REACTOME pathways illustrated that DEG were significantly enriched in regulation of molecular function, developmental process, interferon signaling and platelet activation, signaling, and aggregation. The top 5 upregulated hub genes including HSPA5, PLK1, RIN3, DBN1, and CCDC85B and top 5 downregulated hub genes including DISC1, AR, MTUS2, LYN, and TCF4 might be associated with PCOS. The hub gens of HSPA5 and KMT2A, together with corresponding predicted miRNAs (e.g., hsa-mir-34b-5p and hsa-mir-378a-5p), and HSPA5 and TCF4 together with corresponding predicted TF (e.g., RCOR3 and TEAD4) were found to be significantly correlated with PCOS.
Conclusions
These study uses of bioinformatics analysis of NGS data to obtain hub genes and key signaling pathways related to PCOS and its associated complications. Also provides novel ideas for finding biomarkers and treatment methods for PCOS and its associated complications.
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Kentache T, Althoff CR, Caligiore F, Souche E, Schulz C, Graff J, Pieters E, Stanley P, Contessa JN, Van Schaftingen E, Matthijs G, Foulquier F, Bommer GT, Wilson MP. Absence of the dolichol synthesis gene DHRSX leads to N-glycosylation defects in Lec5 and Lec9 Chinese hamster ovary cells. J Biol Chem 2024; 300:107875. [PMID: 39395802 DOI: 10.1016/j.jbc.2024.107875] [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: 06/18/2024] [Revised: 09/23/2024] [Accepted: 10/01/2024] [Indexed: 10/14/2024] Open
Abstract
Glycosylation-deficient Chinese hamster ovary cell lines have been instrumental in the discovery of N-glycosylation machinery. Yet, the molecular causes of the glycosylation defects in the Lec5 and Lec9 mutants have been elusive, even though for both cell lines a defect in dolichol formation from polyprenol was previously established. We recently found that dolichol synthesis from polyprenol occurs in three steps consisting of the conversion of polyprenol to polyprenal by DHRSX, the reduction of polyprenal to dolichal by SRD5A3, and the reduction of dolichal to dolichol, again by DHRSX. This led us to investigate defective dolichol synthesis in Lec5 and Lec9 cells. Both cell lines showed increased levels of polyprenol and its derivatives, concomitant with decreased levels of dolichol and derivatives, but no change in polyprenal levels, suggesting DHRSX deficiency. Accordingly, N-glycan synthesis and changes in polyisoprenoid levels were corrected by complementation with human DHRSX but not with SRD5A3. Furthermore, the typical polyprenol dehydrogenase and dolichal reductase activities of DHRSX were absent in membrane preparations derived from Lec5 and Lec9 cells, while the reduction of polyprenal to dolichal, catalyzed by SRD5A3, was unaffected. Long-read whole genome sequencing of Lec5 and Lec9 cells did not reveal mutations in the ORF of SRD5A3, but the genomic region containing DHRSX was absent. Lastly, we established the sequence of Chinese hamster DHRSX and validated that this protein has similar kinetic properties to the human enzyme. Our work therefore identifies the basis of the dolichol synthesis defect in Chinese hamster ovary Lec5 and Lec9 cells.
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Affiliation(s)
- Takfarinas Kentache
- Metabolic Research Group, de Duve Institute & WELRI, Université Catholique de Louvain, Brussels, Belgium
| | - Charlotte R Althoff
- Laboratory for Molecular Diagnosis, Center for Human Genetics, KU Leuven, Leuven, Belgium; Univ. Lille, CNRS, UMR 8576 - UGSF - Unité de Glycobiologie Structurale et Fonctionnelle, Lille, France
| | - Francesco Caligiore
- Metabolic Research Group, de Duve Institute & WELRI, Université Catholique de Louvain, Brussels, Belgium
| | - Erika Souche
- Laboratory for Cytogenetics and Genome Research, Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Céline Schulz
- Univ. Lille, CNRS, UMR 8576 - UGSF - Unité de Glycobiologie Structurale et Fonctionnelle, Lille, France
| | - Julie Graff
- Metabolic Research Group, de Duve Institute & WELRI, Université Catholique de Louvain, Brussels, Belgium
| | - Eline Pieters
- Laboratory for Molecular Diagnosis, Center for Human Genetics, KU Leuven, Leuven, Belgium
| | - Pamela Stanley
- Department of Cell Biology, Albert Einstein College of Medicine, New York, New York
| | - Joseph N Contessa
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, Connecticut; Department of Pharmacology, Yale School of Medicine, New Haven, Connecticut
| | - Emile Van Schaftingen
- Metabolic Research Group, de Duve Institute & WELRI, Université Catholique de Louvain, Brussels, Belgium
| | - Gert Matthijs
- Laboratory for Molecular Diagnosis, Center for Human Genetics, KU Leuven, Leuven, Belgium
| | - François Foulquier
- Univ. Lille, CNRS, UMR 8576 - UGSF - Unité de Glycobiologie Structurale et Fonctionnelle, Lille, France
| | - Guido T Bommer
- Metabolic Research Group, de Duve Institute & WELRI, Université Catholique de Louvain, Brussels, Belgium.
| | - Matthew P Wilson
- Laboratory for Molecular Diagnosis, Center for Human Genetics, KU Leuven, Leuven, Belgium.
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5
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Safari MS, Woerl P, Garmsiri C, Weber D, Kwiatkowski M, Hotze M, Kuenkel L, Lang L, Erlacher M, Gelpi E, Hainfellner JA, Baier G, Baier-Bitterlich G, Zur Nedden S. Glucose-1,6-bisphosphate: A new gatekeeper of cerebral mitochondrial pyruvate uptake. Mol Metab 2024; 88:102018. [PMID: 39182844 PMCID: PMC11404074 DOI: 10.1016/j.molmet.2024.102018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Revised: 08/15/2024] [Accepted: 08/20/2024] [Indexed: 08/27/2024] Open
Abstract
OBJECTIVE Glucose-1,6-bisphosphate (G-1,6-BP), a byproduct of glycolysis that is synthesized by phosphoglucomutase 2 like 1 (PGM2L1), is particularly abundant in neurons. G-1,6-BP is sensitive to the glycolytic flux, due to its dependence on 1,3-bisphosphoglycerate as phosphate donor, and the energy state, due to its degradation by inosine monophosphate-activated phosphomannomutase 1. Since the exact role of this metabolite remains unclear, our aim was to elucidate the specific function of G-1,6-BP in the brain. METHODS The effect of PGM2L1 on neuronal post-ischemic viability was assessed by siRNA-mediated knockdown of PGM2L1 in primary mouse neurons. Acute mouse brain slices were used to correlate the reduction in G-1,6-BP upon ischemia to changes in carbon metabolism by 13C6-glucose tracing. A drug affinity responsive target stability assay was used to test if G-1,6-BP interacts with the mitochondrial pyruvate carrier (MPC) subunits in mouse brain protein extracts. Human embryonic kidney cells expressing a MPC bioluminescence resonance energy transfer sensor were used to analyze how PGM2L1 overexpression affects MPC activity. The effect of G-1,6-BP on mitochondrial pyruvate uptake and oxygen consumption rates was analyzed in isolated mouse brain mitochondria. PGM2L1 and a predicted upstream kinase were overexpressed in a human neuroblastoma cell line and G-1,6-BP levels were measured. RESULTS We found that G-1,6-BP in mouse brain slices was quickly degraded upon ischemia and reperfusion. Knockdown of PGM2L1 in mouse neurons reduced post-ischemic viability, indicating that PGM2L1 plays a neuroprotective role. The reduction in G-1,6-BP upon ischemia was not accompanied by alterations in glycolytic rates but we did see a reduced 13C6-glucose incorporation into citrate, suggesting a potential role in mitochondrial pyruvate uptake or metabolism. Indeed, G-1,6-BP interacted with both MPC subunits and overexpression of PGM2L1 increased MPC activity. G-1,6-BP, at concentrations found in the brain, enhanced mitochondrial pyruvate uptake and pyruvate-induced oxygen consumption rates. Overexpression of a predicted upstream kinase inhibited PGM2L1 activity, showing that besides metabolism, also signaling pathways can regulate G-1,6-BP levels. CONCLUSIONS We provide evidence that G-1,6-BP positively regulates mitochondrial pyruvate uptake and post-ischemic neuronal viability. These compelling data reveal a novel mechanism by which neurons can couple glycolysis-derived pyruvate to the tricarboxylic acid cycle. This process is sensitive to the glycolytic flux, the cell's energetic state, and upstream signaling cascades, offering many regulatory means to fine-tune this critical metabolic step.
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Affiliation(s)
- Motahareh Solina Safari
- CCB-Biocenter, Institute of Neurobiochemistry, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Priska Woerl
- CCB-Biocenter, Institute of Neurobiochemistry, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Carolin Garmsiri
- CCB-Biocenter, Institute of Neurobiochemistry, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Dido Weber
- CCB-Biocenter, Institute of Neurobiochemistry, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Marcel Kwiatkowski
- Department of Biochemistry, Institute of Bioanalytic & Intermediary Metabolism, University of Innsbruck, 6020 Innsbruck, Austria
| | - Madlen Hotze
- Department of Biochemistry, Institute of Bioanalytic & Intermediary Metabolism, University of Innsbruck, 6020 Innsbruck, Austria
| | - Louisa Kuenkel
- CCB-Biocenter, Institute of Neurobiochemistry, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Luisa Lang
- CCB-Biocenter, Institute of Neurobiochemistry, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Matthias Erlacher
- CCB-Biocenter, Institute of Genomics and RNomics, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Ellen Gelpi
- Department of Neurology, Division of Neuropathology and Neurochemistry, Medical University of Vienna, 1090 Vienna, Austria
| | - Johannes A Hainfellner
- Department of Neurology, Division of Neuropathology and Neurochemistry, Medical University of Vienna, 1090 Vienna, Austria
| | - Gottfried Baier
- Institute for Cell Genetics, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Gabriele Baier-Bitterlich
- CCB-Biocenter, Institute of Neurobiochemistry, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Stephanie Zur Nedden
- CCB-Biocenter, Institute of Neurobiochemistry, Medical University of Innsbruck, 6020 Innsbruck, Austria.
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6
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Kentache T, Althoff CR, Caligiore F, Souche E, Schulz C, Graff J, Pieters E, Stanley P, Contessa JN, Van Schaftingen E, Matthijs G, Foulquier F, Bommer GT, Wilson MP. The N-glycosylation defect in Lec5 and Lec9 CHO cells is caused by absence of the DHRSX gene. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.18.599300. [PMID: 38948797 PMCID: PMC11212957 DOI: 10.1101/2024.06.18.599300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
Glycosylation-deficient Chinese hamster ovary (CHO) cell lines have been instrumental in the discovery of N-glycosylation machinery. Yet, the molecular causes of the glycosylation defects in the Lec5 and Lec9 mutants have been elusive, even though for both cell lines a defect in dolichol formation from polyprenol was previously established. We recently found that dolichol synthesis from polyprenol occurs in three steps consisting of the conversion of polyprenol to polyprenal by DHRSX, the reduction of polyprenal to dolichal by SRD5A3 and the reduction of dolichal to dolichol, again by DHRSX. This led us to investigate defective dolichol synthesis in Lec5 and Lec9 cells. Both cell lines showed increased levels of polyprenol and its derivatives, concomitant with decreased levels of dolichol and derivatives, but no change in polyprenal levels, suggesting DHRSX deficiency. Accordingly, N-glycan synthesis and changes in polyisoprenoid levels were corrected by complementation with human DHRSX but not with SRD5A3. Furthermore, the typical polyprenol dehydrogenase and dolichal reductase activities of DHRSX were absent in membrane preparations derived from Lec5 and Lec9 cells, while the reduction of polyprenal to dolichal, catalyzed by SRD5A3, was unaffected. Long-read whole genome sequencing of Lec5 and Lec9 cells did not reveal mutations in the ORF of SRD5A3, but the genomic region containing DHRSX was absent. Lastly, we established the sequence of Chinese hamster DHRSX and validated that this protein has similar kinetic properties to the human enzyme. Our work therefore identifies the basis of the dolichol synthesis defect in CHO Lec5 and Lec9 cells.
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Affiliation(s)
- Takfarinas Kentache
- Metabolic Research Group, de Duve Institute & WELRI, Université Catholique de Louvain, 1200 Brussels, Belgium
| | - Charlotte R. Althoff
- Laboratory for Molecular Diagnosis, Center for Human Genetics, KU Leuven, Leuven 3000, Belgium
- Univ. Lille, CNRS, UMR 8576 – UGSF - Unité de Glycobiologie Structurale et Fonctionnelle, F- 59000 Lille, France
| | - Francesco Caligiore
- Metabolic Research Group, de Duve Institute & WELRI, Université Catholique de Louvain, 1200 Brussels, Belgium
| | - Erika Souche
- Laboratory for Cytogenetics and Genome Research, Department of Human Genetics, KU Leuven, B-3000 Leuven, Belgium
| | - Céline Schulz
- Univ. Lille, CNRS, UMR 8576 – UGSF - Unité de Glycobiologie Structurale et Fonctionnelle, F- 59000 Lille, France
| | - Julie Graff
- Metabolic Research Group, de Duve Institute & WELRI, Université Catholique de Louvain, 1200 Brussels, Belgium
| | - Eline Pieters
- Laboratory for Molecular Diagnosis, Center for Human Genetics, KU Leuven, Leuven 3000, Belgium
| | - Pamela Stanley
- Department of Cell Biology, Albert Einstein College of Medicine, New York, NY, USA
| | - Joseph N. Contessa
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, CT 06511, USA
- Department of Pharmacology, Yale School of Medicine, New Haven, CT 06511, USA
| | - Emile Van Schaftingen
- Metabolic Research Group, de Duve Institute & WELRI, Université Catholique de Louvain, 1200 Brussels, Belgium
| | - Gert Matthijs
- Laboratory for Molecular Diagnosis, Center for Human Genetics, KU Leuven, Leuven 3000, Belgium
| | - François Foulquier
- Univ. Lille, CNRS, UMR 8576 – UGSF - Unité de Glycobiologie Structurale et Fonctionnelle, F- 59000 Lille, France
| | - Guido T. Bommer
- Metabolic Research Group, de Duve Institute & WELRI, Université Catholique de Louvain, 1200 Brussels, Belgium
| | - Matthew P. Wilson
- Laboratory for Molecular Diagnosis, Center for Human Genetics, KU Leuven, Leuven 3000, Belgium
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7
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Mao S, Huang X, Chen R, Zhang C, Diao Y, Li Z, Wang Q, Tang S, Guo S. STW-MD: a novel spatio-temporal weighting and multi-step decision tree method for considering spatial heterogeneity in brain gene expression data. Brief Bioinform 2024; 25:bbae051. [PMID: 38385881 PMCID: PMC10883420 DOI: 10.1093/bib/bbae051] [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: 11/11/2023] [Revised: 01/23/2024] [Accepted: 01/26/2024] [Indexed: 02/23/2024] Open
Abstract
Gene expression during brain development or abnormal development is a biological process that is highly dynamic in spatio and temporal. Previous studies have mainly focused on individual brain regions or a certain developmental stage. Our motivation is to address this gap by incorporating spatio-temporal information to gain a more complete understanding of brain development or abnormal brain development, such as Alzheimer's disease (AD), and to identify potential determinants of response. In this study, we propose a novel two-step framework based on spatial-temporal information weighting and multi-step decision trees. This framework can effectively exploit the spatial similarity and temporal dependence between different stages and different brain regions, and facilitate differential gene analysis in brain regions with high heterogeneity. We focus on two datasets: the AD dataset, which includes gene expression data from early, middle and late stages, and the brain development dataset, spanning fetal development to adulthood. Our findings highlight the advantages of the proposed framework in discovering gene classes and elucidating their impact on brain development and AD progression across diverse brain regions and stages. These findings align with existing studies and provide insights into the processes of normal and abnormal brain development.
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Affiliation(s)
- Shanjun Mao
- Department of Statistics, Hunan University, Shijiachong Road, Changsha 410000, China
| | - Xiao Huang
- Department of Statistics, Hunan University, Shijiachong Road, Changsha 410000, China
| | - Runjiu Chen
- Department of Statistics, Hunan University, Shijiachong Road, Changsha 410000, China
| | - Chenyang Zhang
- Department of Statistics, Hunan University, Shijiachong Road, Changsha 410000, China
| | - Yizhu Diao
- Department of Statistics, Hunan University, Shijiachong Road, Changsha 410000, China
| | - Zongjin Li
- Central University of Finance and Economics
| | - Qingzhe Wang
- Shanghai Institute for Advanced Studies, University of Science and Technology of China
| | - Shan Tang
- Department of Statistics, Hunan University, Shijiachong Road, Changsha 410000, China
| | - Shuixia Guo
- MOE-LCSM, School of Mathematics and Statistics, Hunan Normal University, Lushan Road, Changsha 410000, China
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8
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Harada Y, Ohkawa Y, Maeda K, Taniguchi N. Glycan quality control in and out of the endoplasmic reticulum of mammalian cells. FEBS J 2022; 289:7147-7162. [PMID: 34492158 DOI: 10.1111/febs.16185] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 08/23/2021] [Accepted: 09/06/2021] [Indexed: 01/13/2023]
Abstract
The endoplasmic reticulum (ER) is equipped with multiple quality control systems (QCS) that are necessary for shaping the glycoproteome of eukaryotic cells. These systems facilitate the productive folding of glycoproteins, eliminate defective products, and function as effectors to evoke cellular signaling in response to various cellular stresses. These ER functions largely depend on glycans, which contain sugar-based codes that, when needed, function to recruit carbohydrate-binding proteins that determine the fate of glycoproteins. To ensure their functionality, the biosynthesis of such glycans is therefore strictly monitored by a system that selectively degrades structurally defective glycans before adding them to proteins. This system, which is referred to as the glycan QCS, serves as a mechanism to reduce the risk of abnormal glycosylation under conditions where glycan biosynthesis is genetically or metabolically stalled. On the other hand, glycan QCS increases the risk of global hypoglycosylation by limiting glycan availability, which can lead to protein misfolding and the activation of unfolded protein response to maintaining cell viability or to initiate cell death programs. This review summarizes the current state of our knowledge of the mechanisms underlying glycan QCS in mammals and its physiological and pathological roles in embryogenesis, tumor progression, and congenital disorders associated with abnormal glycosylation.
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Affiliation(s)
- Yoichiro Harada
- Department of Glyco-Oncology and Medical Biochemistry, Osaka International Cancer Institute, Osaka, Japan
| | - Yuki Ohkawa
- Department of Glyco-Oncology and Medical Biochemistry, Osaka International Cancer Institute, Osaka, Japan
| | - Kento Maeda
- Department of Glyco-Oncology and Medical Biochemistry, Osaka International Cancer Institute, Osaka, Japan
| | - Naoyuki Taniguchi
- Department of Glyco-Oncology and Medical Biochemistry, Osaka International Cancer Institute, Osaka, Japan
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9
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Chen S, Xie Y, Li Y, Fan X, Xing F, Mao Y, Xing N, Wang J, Yang J, Wang Z, Yuan J. Sleep deprivation and recovery sleep affect healthy male resident’s pain sensitivity and oxidative stress markers: The medial prefrontal cortex may play a role in sleep deprivation model. Front Mol Neurosci 2022; 15:937468. [PMID: 36061364 PMCID: PMC9434020 DOI: 10.3389/fnmol.2022.937468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 07/11/2022] [Indexed: 11/13/2022] Open
Abstract
Sleep is essential for the body’s repair and recovery, including supplementation with antioxidants to maintain the balance of the body’s redox state. Changes in sleep patterns have been reported to alter this repair function, leading to changes in disease susceptibility or behavior. Here, we recruited healthy male physicians and measured the extent of the effect of overnight sleep deprivation (SD) and recovery sleep (RS) on nociceptive thresholds and systemic (plasma-derived) redox metabolism, namely, the major antioxidants glutathione (GSH), catalase (CAT), malondialdehyde (MDA), and superoxide dismutase (SOD). Twenty subjects underwent morning measurements before and after overnight total SD and RS. We found that one night of SD can lead to increased nociceptive hypersensitivity and the pain scores of the Numerical Rating Scale (NRS) and that one night of RS can reverse this change. Pre- and post-SD biochemical assays showed an increase in MDA levels and CAT activity and a decrease in GSH levels and SOD activity after overnight SD. Biochemical assays before and after RS showed a partial recovery of MDA levels and a basic recovery of CAT activity to baseline levels. An animal study showed that SD can cause a significant decrease in the paw withdrawal threshold and paw withdrawal latency in rats, and after 4 days of unrestricted sleep, pain thresholds can be restored to normal. We performed proteomics in the rat medial prefrontal cortex (mPFC) and showed that 37 proteins were significantly altered after 6 days of SD. Current findings showed that SD causes nociceptive hyperalgesia and oxidative stress, and RS can restore pain thresholds and repair oxidative stress damage in the body. However, one night of RS is not enough for repairing oxidative stress damage in the human body.
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Affiliation(s)
- Shuhan Chen
- Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Province International Joint Laboratory of Pain, Cognition and Emotion, Zhengzhou, China
| | - Yanle Xie
- Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Province International Joint Laboratory of Pain, Cognition and Emotion, Zhengzhou, China
| | - Yize Li
- Department of Anesthesiology, Tianjin Research Institute of Anesthesiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Xiaochong Fan
- Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Province International Joint Laboratory of Pain, Cognition and Emotion, Zhengzhou, China
| | - Fei Xing
- Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Province International Joint Laboratory of Pain, Cognition and Emotion, Zhengzhou, China
| | - Yuanyuan Mao
- Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Province International Joint Laboratory of Pain, Cognition and Emotion, Zhengzhou, China
| | - Na Xing
- Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Province International Joint Laboratory of Pain, Cognition and Emotion, Zhengzhou, China
| | - Jingping Wang
- Massachusetts General Hospital Department of Anesthesia, Critical Care and Pain Medicine, Harvard Medical School, Boston, MA, United States
| | - Jianjun Yang
- Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Province International Joint Laboratory of Pain, Cognition and Emotion, Zhengzhou, China
| | - Zhongyu Wang
- Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Province International Joint Laboratory of Pain, Cognition and Emotion, Zhengzhou, China
- Zhongyu Wang,
| | - Jingjing Yuan
- Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Province International Joint Laboratory of Pain, Cognition and Emotion, Zhengzhou, China
- *Correspondence: Jingjing Yuan,
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10
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Glucose-1,6-Bisphosphate, a Key Metabolic Regulator, Is Synthesized by a Distinct Family of α-Phosphohexomutases Widely Distributed in Prokaryotes. mBio 2022; 13:e0146922. [PMID: 35856562 PMCID: PMC9426568 DOI: 10.1128/mbio.01469-22] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
The reactions of α-d-phosphohexomutases (αPHM) are ubiquitous, key to primary metabolism, and essential for several processes in all domains of life. The functionality of these enzymes relies on an initial phosphorylation step which requires the presence of α-d-glucose-1,6-bisphosphate (Glc-1,6-BP). While well investigated in vertebrates, the origin of this activator compound in bacteria is unknown. Here we show that the Slr1334 protein from the unicellular cyanobacterium Synechocysitis sp. PCC 6803 is a Glc-1,6-BP-synthase. Biochemical analysis revealed that Slr1334 efficiently converts fructose-1,6-bisphosphate (Frc-1,6-BP) and α-d-glucose-1-phosphate/α-d-glucose-6-phosphate into Glc-1,6-BP and also catalyzes the reverse reaction. As inferred from phylogenetic analysis, the slr1334 product belongs to a primordial subfamily of αPHMs that is present especially in deeply branching bacteria and also includes human commensals and pathogens. Remarkably, the homologue of Slr1334 in the human gut bacterium Bacteroides salyersiae catalyzes the same reaction, suggesting a conserved and essential role for the members of this αPHM subfamily.
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11
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Stiers KM, Owuocha LF, Beamer LJ. Effects of the T337M and G391V disease-related variants on human phosphoglucomutase 1: structural disruptions large and small. Acta Crystallogr F Struct Biol Commun 2022; 78:200-209. [PMID: 35506765 PMCID: PMC9067374 DOI: 10.1107/s2053230x22004174] [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: 02/17/2022] [Accepted: 04/19/2022] [Indexed: 11/10/2022] Open
Abstract
Phosphoglucomutase 1 (PGM1) plays a central role in glucose homeostasis in human cells. Missense variants of this enzyme cause an inborn error of metabolism, which is categorized as a congenital disorder of glycosylation. Here, two disease-related variants of PGM1, T337M and G391V, which are both located in domain 3 of the four-domain protein, were characterized via X-ray crystallography and biochemical assays. The studies show multiple impacts resulting from these dysfunctional variants, including both short- and long-range structural perturbations. In the T337M variant these are limited to a small shift in an active-site loop, consistent with reduced enzyme activity. In contrast, the G391V variant produces a cascade of structural perturbations, including displacement of both the catalytic phosphoserine and metal-binding loops. This work reinforces several themes that were found in prior studies of dysfunctional PGM1 variants, including increased structural flexibility and the outsized impacts of mutations affecting interdomain interfaces. The molecular mechanisms of PGM1 variants have implications for newly described inherited disorders of related enzymes.
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Affiliation(s)
- Kyle M. Stiers
- Biochemistry Department, University of Missouri, Columbia, MO 65211, USA
| | - Luckio F. Owuocha
- Biochemistry Department, University of Missouri, Columbia, MO 65211, USA
| | - Lesa J. Beamer
- Biochemistry Department, University of Missouri, Columbia, MO 65211, USA
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12
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Understanding Inborn Errors of Metabolism through Metabolomics. Metabolites 2022; 12:metabo12050398. [PMID: 35629902 PMCID: PMC9143820 DOI: 10.3390/metabo12050398] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 04/14/2022] [Accepted: 04/25/2022] [Indexed: 12/10/2022] Open
Abstract
Inborn errors of metabolism (IEMs) are rare diseases caused by a defect in a single enzyme, co-factor, or transport protein. For most IEMs, no effective treatment is available and the exact disease mechanism is unknown. The application of metabolomics and, more specifically, tracer metabolomics in IEM research can help to elucidate these disease mechanisms and hence direct novel therapeutic interventions. In this review, we will describe the different approaches to metabolomics in IEM research. We will discuss the strengths and weaknesses of the different sample types that can be used (biofluids, tissues or cells from model organisms; modified cell lines; and patient fibroblasts) and when each of them is appropriate to use.
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13
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Yépez VA, Gusic M, Kopajtich R, Mertes C, Smith NH, Alston CL, Ban R, Beblo S, Berutti R, Blessing H, Ciara E, Distelmaier F, Freisinger P, Häberle J, Hayflick SJ, Hempel M, Itkis YS, Kishita Y, Klopstock T, Krylova TD, Lamperti C, Lenz D, Makowski C, Mosegaard S, Müller MF, Muñoz-Pujol G, Nadel A, Ohtake A, Okazaki Y, Procopio E, Schwarzmayr T, Smet J, Staufner C, Stenton SL, Strom TM, Terrile C, Tort F, Van Coster R, Vanlander A, Wagner M, Xu M, Fang F, Ghezzi D, Mayr JA, Piekutowska-Abramczuk D, Ribes A, Rötig A, Taylor RW, Wortmann SB, Murayama K, Meitinger T, Gagneur J, Prokisch H. Clinical implementation of RNA sequencing for Mendelian disease diagnostics. Genome Med 2022; 14:38. [PMID: 35379322 PMCID: PMC8981716 DOI: 10.1186/s13073-022-01019-9] [Citation(s) in RCA: 96] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 02/03/2022] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Lack of functional evidence hampers variant interpretation, leaving a large proportion of individuals with a suspected Mendelian disorder without genetic diagnosis after whole genome or whole exome sequencing (WES). Research studies advocate to further sequence transcriptomes to directly and systematically probe gene expression defects. However, collection of additional biopsies and establishment of lab workflows, analytical pipelines, and defined concepts in clinical interpretation of aberrant gene expression are still needed for adopting RNA sequencing (RNA-seq) in routine diagnostics. METHODS We implemented an automated RNA-seq protocol and a computational workflow with which we analyzed skin fibroblasts of 303 individuals with a suspected mitochondrial disease that previously underwent WES. We also assessed through simulations how aberrant expression and mono-allelic expression tests depend on RNA-seq coverage. RESULTS We detected on average 12,500 genes per sample including around 60% of all disease genes-a coverage substantially higher than with whole blood, supporting the use of skin biopsies. We prioritized genes demonstrating aberrant expression, aberrant splicing, or mono-allelic expression. The pipeline required less than 1 week from sample preparation to result reporting and provided a median of eight disease-associated genes per patient for inspection. A genetic diagnosis was established for 16% of the 205 WES-inconclusive cases. Detection of aberrant expression was a major contributor to diagnosis including instances of 50% reduction, which, together with mono-allelic expression, allowed for the diagnosis of dominant disorders caused by haploinsufficiency. Moreover, calling aberrant splicing and variants from RNA-seq data enabled detecting and validating splice-disrupting variants, of which the majority fell outside WES-covered regions. CONCLUSION Together, these results show that streamlined experimental and computational processes can accelerate the implementation of RNA-seq in routine diagnostics.
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Affiliation(s)
- Vicente A. Yépez
- Institute of Human Genetics, School of Medicine, Technical University of Munich, Munich, Germany
- Department of Informatics, Technical University of Munich, Garching, Germany
- Quantitative Biosciences Munich, Department of Biochemistry, Ludwig-Maximilians-Universität, Munich, Germany
| | - Mirjana Gusic
- Institute of Human Genetics, School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Neurogenomics, Helmholtz Zentrum München, Neuherberg, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Robert Kopajtich
- Institute of Human Genetics, School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Neurogenomics, Helmholtz Zentrum München, Neuherberg, Germany
| | - Christian Mertes
- Department of Informatics, Technical University of Munich, Garching, Germany
| | - Nicholas H. Smith
- Department of Informatics, Technical University of Munich, Garching, Germany
| | - Charlotte L. Alston
- Wellcome Centre for Mitochondrial Research, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE2 4HH UK
- NHS Highly Specialised Services for Rare Mitochondrial Disorders, Royal Victoria Infirmary, Newcastle upon Tyne Hospitals NHS Foundation Trust, Queen Victoria Road, Newcastle upon Tyne, NE1 4LP UK
| | - Rui Ban
- Institute of Neurogenomics, Helmholtz Zentrum München, Neuherberg, Germany
- Department of Pediatric Neurology, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, China
| | - Skadi Beblo
- Department of Women and Child Health, Hospital for Children and Adolescents, Center for Pediatric Research Leipzig (CPL), Center for Rare Diseases, University Hospitals, University of Leipzig, Leipzig, Germany
| | - Riccardo Berutti
- Institute of Human Genetics, School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Neurogenomics, Helmholtz Zentrum München, Neuherberg, Germany
| | - Holger Blessing
- Department for Inborn Metabolic Diseases, Children’s and Adolescents’ Hospital, University of Erlangen-Nürnberg, Erlangen, Germany
| | - Elżbieta Ciara
- Department of Medical Genetics, Children’s Memorial Health Institute, Warsaw, Poland
| | - Felix Distelmaier
- Department of General Pediatrics, Neonatology and Pediatric Cardiology, Heinrich-Heine-University, Düsseldorf, Germany
| | - Peter Freisinger
- Department of Pediatrics, Klinikum Reutlingen, Reutlingen, Germany
| | - Johannes Häberle
- University Children’s Hospital Zurich and Children’s Research Centre, Zürich, Switzerland
| | - Susan J. Hayflick
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, USA
| | - Maja Hempel
- Institute of Human Genetics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | | | - Yoshihito Kishita
- Diagnostics and Therapeutics of Intractable Diseases, Intractable Disease Research Center, Juntendo University, Graduate School of Medicine, Tokyo, Japan
- Department of Life Science, Faculty of Science and Engineering, Kindai University, Osaka, Japan
| | - Thomas Klopstock
- Department of Neurology, Friedrich-Baur-Institute, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | | | - Costanza Lamperti
- Unit of Medical Genetics and Neurogenetics, Fondazione IRCCS (Istituto di Ricovero e Cura a Carattere Scientifico) Istituto Neurologico Carlo Besta, Milan, Italy
| | - Dominic Lenz
- Division of Neuropediatrics and Pediatric Metabolic Medicine, Center for Pediatric and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - Christine Makowski
- Department of Pediatrics, Technical University of Munich, Munich, Germany
| | - Signe Mosegaard
- Research Unit for Molecular Medicine, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Michaela F. Müller
- Department of Informatics, Technical University of Munich, Garching, Germany
| | - Gerard Muñoz-Pujol
- Section of Inborn Errors of Metabolism-IBC, Department of Biochemistry and Molecular Genetics, Hospital Clínic, IDIBAPS, CIBERER, Barcelona, Spain
| | - Agnieszka Nadel
- Institute of Human Genetics, School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Neurogenomics, Helmholtz Zentrum München, Neuherberg, Germany
| | - Akira Ohtake
- Department of Pediatrics & Clinical Genomics, Faculty of Medicine, Saitama Medical University, Saitama, Japan
- Center for Intractable Diseases, Saitama Medical University Hospital, Saitama, Japan
| | - Yasushi Okazaki
- Diagnostics and Therapeutics of Intractable Diseases, Intractable Disease Research Center, Juntendo University, Graduate School of Medicine, Tokyo, Japan
| | - Elena Procopio
- Inborn Metabolic and Muscular Disorders Unit, Anna Meyer Children Hospital, Florence, Italy
| | - Thomas Schwarzmayr
- Institute of Human Genetics, School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Neurogenomics, Helmholtz Zentrum München, Neuherberg, Germany
| | - Joél Smet
- Department of Pediatric Neurology and Metabolism, Ghent University Hospital, Ghent, Belgium
| | - Christian Staufner
- Division of Neuropediatrics and Pediatric Metabolic Medicine, Center for Pediatric and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - Sarah L. Stenton
- Institute of Human Genetics, School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Neurogenomics, Helmholtz Zentrum München, Neuherberg, Germany
| | - Tim M. Strom
- Institute of Human Genetics, School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Neurogenomics, Helmholtz Zentrum München, Neuherberg, Germany
| | - Caterina Terrile
- Institute of Neurogenomics, Helmholtz Zentrum München, Neuherberg, Germany
| | - Frederic Tort
- Section of Inborn Errors of Metabolism-IBC, Department of Biochemistry and Molecular Genetics, Hospital Clínic, IDIBAPS, CIBERER, Barcelona, Spain
| | - Rudy Van Coster
- Department of Pediatric Neurology and Metabolism, Ghent University Hospital, Ghent, Belgium
| | - Arnaud Vanlander
- Department of Pediatric Neurology and Metabolism, Ghent University Hospital, Ghent, Belgium
| | - Matias Wagner
- Institute of Human Genetics, School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Neurogenomics, Helmholtz Zentrum München, Neuherberg, Germany
| | - Manting Xu
- Institute of Neurogenomics, Helmholtz Zentrum München, Neuherberg, Germany
- Department of Pediatric Neurology, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, China
| | - Fang Fang
- Department of Pediatric Neurology, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, China
| | - Daniele Ghezzi
- Unit of Medical Genetics and Neurogenetics, Fondazione IRCCS (Istituto di Ricovero e Cura a Carattere Scientifico) Istituto Neurologico Carlo Besta, Milan, Italy
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Johannes A. Mayr
- University Children’s Hospital, Paracelsus Medical University Salzburg, Salzburg, Austria
| | | | - Antonia Ribes
- Section of Inborn Errors of Metabolism-IBC, Department of Biochemistry and Molecular Genetics, Hospital Clínic, IDIBAPS, CIBERER, Barcelona, Spain
| | - Agnès Rötig
- Université de Paris, Institut Imagine, INSERM UMR 1163, Paris, France
| | - Robert W. Taylor
- Wellcome Centre for Mitochondrial Research, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE2 4HH UK
- NHS Highly Specialised Services for Rare Mitochondrial Disorders, Royal Victoria Infirmary, Newcastle upon Tyne Hospitals NHS Foundation Trust, Queen Victoria Road, Newcastle upon Tyne, NE1 4LP UK
| | - Saskia B. Wortmann
- Institute of Human Genetics, School of Medicine, Technical University of Munich, Munich, Germany
- University Children’s Hospital, Paracelsus Medical University Salzburg, Salzburg, Austria
- Amalia Children’s Hospital, Radboudumc Nijmegen, Nijmegen, The Netherlands
| | - Kei Murayama
- Department of Metabolism, Chiba Children’s Hospital, Chiba, Japan
| | - Thomas Meitinger
- Institute of Human Genetics, School of Medicine, Technical University of Munich, Munich, Germany
| | - Julien Gagneur
- Institute of Human Genetics, School of Medicine, Technical University of Munich, Munich, Germany
- Department of Informatics, Technical University of Munich, Garching, Germany
- Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Holger Prokisch
- Institute of Human Genetics, School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Neurogenomics, Helmholtz Zentrum München, Neuherberg, Germany
- Department of Pediatric Neurology, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, China
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