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Chapman KA, Ullah F, Yahiku ZA, Kodiparthi SV, Kellaris G, Correia SP, Stödberg T, Sofokleous C, Marinakis NM, Fryssira H, Tsoutsou E, Traeger-Synodinos J, Accogli A, Salpietro V, Striano P, Berger SI, Pond KW, Sirimulla S, Davis EE, Bhattacharya MRC. Pathogenic variants in TMEM184B cause a neurodevelopmental syndrome via alteration of metabolic signaling. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.06.27.24309417. [PMID: 39006436 PMCID: PMC11245063 DOI: 10.1101/2024.06.27.24309417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
Transmembrane protein 184B (TMEM184B) is an endosomal 7-pass transmembrane protein with evolutionarily conserved roles in synaptic structure and axon degeneration. We report six pediatric patients who have de novo heterozygous variants in TMEM184B. All individuals harbor rare missense or mRNA splicing changes and have neurodevelopmental deficits including intellectual disability, corpus callosum hypoplasia, seizures, and/or microcephaly. TMEM184B is predicted to contain a pore domain, wherein many human disease-associated variants cluster. Structural modeling suggests that all missense variants alter TMEM184B protein stability. To understand the contribution of TMEM184B to neural development in vivo, we suppressed the TMEM184B ortholog in zebrafish and observed microcephaly and reduced anterior commissural neurons, aligning with patient symptoms. Ectopic TMEM184B expression resulted in dominant effects for K184E and G162R. However, in vivo complementation studies demonstrate that all other variants tested result in diminished protein function and indicate a haploinsufficiency basis for disease. Expression of K184E and other variants increased apoptosis in cell lines and altered nuclear localization of transcription factor EB (TFEB), a master regulator of lysosomal biogenesis, suggesting disrupted nutrient signaling pathways. Together, our data indicate that TMEM184B variants cause cellular metabolic disruption likely through divergent molecular effects that all result in abnormal neural development.
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Affiliation(s)
- Kimberly A Chapman
- Children’s National Rare Disease Institute and Center for Genetic Medicine Research, Washington DC, USA
| | - Farid Ullah
- Stanley Manne Children’s Research Institute, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, USA
- Department of Pediatrics and Department of Cell and Developmental Biology, Feinberg School of Medicine, Northwestern, Chicago, IL, USA
| | - Zachary A Yahiku
- Department of Neuroscience, University of Arizona, Tucson AZ, USA
| | | | - Georgios Kellaris
- Stanley Manne Children’s Research Institute, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, USA
| | - Sandrina P Correia
- Centre for Inherited Metabolic Diseases, Karolinska University Hospital, Stockholm, Sweden
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Tommy Stödberg
- Department of Women’s and Children`s Health, Karolinska Institute, Stockholm, Sweden; and Department of Pediatric Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Christalena Sofokleous
- Laboratory of Medical Genetics, Medical School, National and Kapodistrian University of Athens, St. Sophia’s Children’s Hospital, Athens, Greece
| | - Nikolaos M Marinakis
- Laboratory of Medical Genetics, Medical School, National and Kapodistrian University of Athens, St. Sophia’s Children’s Hospital, Athens, Greece
- Research University Institute for the Study and Prevention of Genetic and Malignant Disease of Childhood,National and Kapodistrian University of Athens, St. Sophia’s Children’s Hospital, Athens, Greece
| | - Helena Fryssira
- Laboratory of Medical Genetics, Medical School, National and Kapodistrian University of Athens, St. Sophia’s Children’s Hospital, Athens, Greece
| | - Eirini Tsoutsou
- Laboratory of Medical Genetics, Medical School, National and Kapodistrian University of Athens, St. Sophia’s Children’s Hospital, Athens, Greece
| | - Jan Traeger-Synodinos
- Laboratory of Medical Genetics, Medical School, National and Kapodistrian University of Athens, St. Sophia’s Children’s Hospital, Athens, Greece
| | - Andrea Accogli
- Division of Medical Genetics, Department of Medicine, and Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Vincenzo Salpietro
- Department of Neuromuscular Disorders, Queen Square Institute of Neurology, University. College London, London, WC1N 3BG, UK
- Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, 67100, L’Aquila, Italy
| | - Pasquale Striano
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
- IRCCS Giannina Gaslini Institute, Genoa, Italy
| | - Seth I Berger
- Children’s National Rare Disease Institute and Center for Genetic Medicine Research, Washington DC, USA
| | - Kelvin W Pond
- Department of Cellular and Molecular Medicine, University of Arizona College of Medicine - Tucson, AZ, USA
| | | | - Erica E Davis
- Stanley Manne Children’s Research Institute, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, USA
- Department of Pediatrics and Department of Cell and Developmental Biology, Feinberg School of Medicine, Northwestern, Chicago, IL, USA
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2
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Li S, Zhao S, Sinson JC, Bajic A, Rosenfeld JA, Neeley MB, Pena M, Worley KC, Burrage LC, Weisz-Hubshman M, Ketkar S, Craigen WJ, Clark GD, Lalani S, Bacino CA, Machol K, Chao HT, Potocki L, Emrick L, Sheppard J, Nguyen MTT, Khoramnia A, Hernandez PP, Nagamani SC, Liu Z, Eng CM, Lee B, Liu P. The clinical utility and diagnostic implementation of human subject cell transdifferentiation followed by RNA sequencing. Am J Hum Genet 2024; 111:841-862. [PMID: 38593811 PMCID: PMC11080285 DOI: 10.1016/j.ajhg.2024.03.007] [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: 10/04/2023] [Revised: 03/08/2024] [Accepted: 03/11/2024] [Indexed: 04/11/2024] Open
Abstract
RNA sequencing (RNA-seq) has recently been used in translational research settings to facilitate diagnoses of Mendelian disorders. A significant obstacle for clinical laboratories in adopting RNA-seq is the low or absent expression of a significant number of disease-associated genes/transcripts in clinically accessible samples. As this is especially problematic in neurological diseases, we developed a clinical diagnostic approach that enhanced the detection and evaluation of tissue-specific genes/transcripts through fibroblast-to-neuron cell transdifferentiation. The approach is designed specifically to suit clinical implementation, emphasizing simplicity, cost effectiveness, turnaround time, and reproducibility. For clinical validation, we generated induced neurons (iNeurons) from 71 individuals with primary neurological phenotypes recruited to the Undiagnosed Diseases Network. The overall diagnostic yield was 25.4%. Over a quarter of the diagnostic findings benefited from transdifferentiation and could not be achieved by fibroblast RNA-seq alone. This iNeuron transcriptomic approach can be effectively integrated into diagnostic whole-transcriptome evaluation of individuals with genetic disorders.
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Affiliation(s)
- Shenglan Li
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Sen Zhao
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Jefferson C Sinson
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Aleksandar Bajic
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX, USA; Advanced Technology Cores, Baylor College of Medicine, Houston, TX, USA
| | - Jill A Rosenfeld
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Matthew B Neeley
- Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX, USA
| | - Mezthly Pena
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Kim C Worley
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Lindsay C Burrage
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA
| | - Monika Weisz-Hubshman
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA
| | - Shamika Ketkar
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - William J Craigen
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA
| | - Gary D Clark
- Department of Pediatrics, Section of Neurology, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA
| | - Seema Lalani
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA
| | - Carlos A Bacino
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA
| | - Keren Machol
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA
| | - Hsiao-Tuan Chao
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX, USA; Department of Pediatrics, Section of Neurology, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA; Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA; Cain Pediatric Research Foundation Laboratories, Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX, USA; McNair Medical Institute, The Robert and Janice McNair Foundation, Houston, TX, USA
| | - Lorraine Potocki
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA
| | - Lisa Emrick
- Department of Pediatrics, Section of Neurology, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA
| | - Jennifer Sheppard
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX, USA; Department of Pediatrics, Section of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - My T T Nguyen
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX, USA
| | - Anahita Khoramnia
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | | | - Sandesh Cs Nagamani
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA
| | - Zhandong Liu
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX, USA; Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX, USA; Department of Pediatrics, Section of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - Christine M Eng
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Baylor Genetics, Houston, TX, USA
| | - Brendan Lee
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Texas Children's Hospital, Houston, TX, USA
| | - Pengfei Liu
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Baylor Genetics, Houston, TX, USA.
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3
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Mao D, Liu C, Wang L, Ai-Ouran R, Deisseroth C, Pasupuleti S, Kim SY, Li L, Rosenfeld JA, Meng L, Burrage LC, Wangler MF, Yamamoto S, Santana M, Perez V, Shukla P, Eng CM, Lee B, Yuan B, Xia F, Bellen HJ, Liu P, Liu Z. AI-MARRVEL - A Knowledge-Driven AI System for Diagnosing Mendelian Disorders. NEJM AI 2024; 1:10.1056/aioa2300009. [PMID: 38962029 PMCID: PMC11221788 DOI: 10.1056/aioa2300009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/05/2024]
Abstract
BACKGROUND Diagnosing genetic disorders requires extensive manual curation and interpretation of candidate variants, a labor-intensive task even for trained geneticists. Although artificial intelligence (AI) shows promise in aiding these diagnoses, existing AI tools have only achieved moderate success for primary diagnosis. METHODS AI-MARRVEL (AIM) uses a random-forest machine-learning classifier trained on over 3.5 million variants from thousands of diagnosed cases. AIM additionally incorporates expert-engineered features into training to recapitulate the intricate decision-making processes in molecular diagnosis. The online version of AIM is available at https://ai.marrvel.org. To evaluate AIM, we benchmarked it with diagnosed patients from three independent cohorts. RESULTS AIM improved the rate of accurate genetic diagnosis, doubling the number of solved cases as compared with benchmarked methods, across three distinct real-world cohorts. To better identify diagnosable cases from the unsolved pools accumulated over time, we designed a confidence metric on which AIM achieved a precision rate of 98% and identified 57% of diagnosable cases out of a collection of 871 cases. Furthermore, AIM's performance improved after being fine-tuned for targeted settings including recessive disorders and trio analysis. Finally, AIM demonstrated potential for novel disease gene discovery by correctly predicting two newly reported disease genes from the Undiagnosed Diseases Network. CONCLUSIONS AIM achieved superior accuracy compared with existing methods for genetic diagnosis. We anticipate that this tool may aid in primary diagnosis, reanalysis of unsolved cases, and the discovery of novel disease genes. (Funded by the NIH Common Fund and others.).
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Affiliation(s)
- Dongxue Mao
- Department of Pediatrics, Baylor College of Medicine, Houston
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston
| | - Chaozhong Liu
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston
- Graduate School of Biomedical Sciences, Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston
| | - Linhua Wang
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston
- Graduate School of Biomedical Sciences, Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston
| | - Rami Ai-Ouran
- Department of Pediatrics, Baylor College of Medicine, Houston
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston
- Department of Data Science and AI, Al Hussein Technical University, Amman, Jordan
| | - Cole Deisseroth
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston
| | - Sasidhar Pasupuleti
- Department of Pediatrics, Baylor College of Medicine, Houston
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston
| | - Seon Young Kim
- Department of Pediatrics, Baylor College of Medicine, Houston
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston
| | - Lucian Li
- Department of Pediatrics, Baylor College of Medicine, Houston
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston
| | - Jill A Rosenfeld
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston
| | - Linyan Meng
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston
- Baylor Genetics, Houston7
| | - Lindsay C Burrage
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston
| | - Michael F Wangler
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston
| | - Shinya Yamamoto
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston
| | | | | | | | - Christine M Eng
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston
- Baylor Genetics, Houston7
| | - Brendan Lee
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston
| | - Bo Yuan
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston
- Human Genome Sequencing Center, Baylor College of Medicine, Houston
| | - Fan Xia
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston
- Baylor Genetics, Houston7
| | - Hugo J Bellen
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston
- Department of Neuroscience, Baylor College of Medicine, Houston
| | - Pengfei Liu
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston
- Baylor Genetics, Houston7
| | - Zhandong Liu
- Department of Pediatrics, Baylor College of Medicine, Houston
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston
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4
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Nicolson S, Manning JA, Lim Y, Jiang X, Kolze E, Dayan S, Umargamwala R, Xu T, Sandow JJ, Webb AI, Kumar S, Denton D. The Drosophila ZNRF1/2 homologue, detour, interacts with HOPS complex and regulates autophagy. Commun Biol 2024; 7:183. [PMID: 38360932 PMCID: PMC10869362 DOI: 10.1038/s42003-024-05834-1] [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: 12/14/2023] [Accepted: 01/18/2024] [Indexed: 02/17/2024] Open
Abstract
Autophagy, the process of elimination of cellular components by lysosomal degradation, is essential for animal development and homeostasis. Using the autophagy-dependent Drosophila larval midgut degradation model we identified an autophagy regulator, the RING domain ubiquitin ligase CG14435 (detour). Depletion of detour resulted in increased early-stage autophagic vesicles, premature tissue contraction, and overexpression of detour or mammalian homologues, ZNRF1 and ZNRF2, increased autophagic vesicle size. The ablation of ZNRF1 or ZNRF2 in mammalian cells increased basal autophagy. We identified detour interacting proteins including HOPS subunits, deep orange (dor/VPS18), Vacuolar protein sorting 16A (VPS16A), and light (lt/VPS41) and found that detour promotes their ubiquitination. The detour mutant accumulated autophagy-related proteins in young adults, displayed premature ageing, impaired motor function, and activation of innate immunity. Collectively, our findings suggest a role for detour in autophagy, likely through regulation of HOPS complex, with implications for healthy aging.
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Affiliation(s)
- Shannon Nicolson
- Centre for Cancer Biology, University of South Australia, Adelaide, SA, 5001, Australia
| | - Jantina A Manning
- Centre for Cancer Biology, University of South Australia, Adelaide, SA, 5001, Australia
| | - Yoon Lim
- Centre for Cancer Biology, University of South Australia, Adelaide, SA, 5001, Australia
| | - Xin Jiang
- Centre for Cancer Biology, University of South Australia, Adelaide, SA, 5001, Australia
| | - Erica Kolze
- Centre for Cancer Biology, University of South Australia, Adelaide, SA, 5001, Australia
- Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, 5001, Australia
| | - Sonia Dayan
- Centre for Cancer Biology, University of South Australia, Adelaide, SA, 5001, Australia
| | - Ruchi Umargamwala
- Centre for Cancer Biology, University of South Australia, Adelaide, SA, 5001, Australia
| | - Tianqi Xu
- Centre for Cancer Biology, University of South Australia, Adelaide, SA, 5001, Australia
| | - Jarrod J Sandow
- The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia
- Department of Medical Biology, University of Melbourne, Parkville, VIC, 3052, Australia
| | - Andrew I Webb
- The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia
- Department of Medical Biology, University of Melbourne, Parkville, VIC, 3052, Australia
| | - Sharad Kumar
- Centre for Cancer Biology, University of South Australia, Adelaide, SA, 5001, Australia.
- Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, 5001, Australia.
| | - Donna Denton
- Centre for Cancer Biology, University of South Australia, Adelaide, SA, 5001, Australia.
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Chang C, Banerjee SL, Park SS, Zhang XL, Cotnoir-White D, Opperman KJ, Desbois M, Grill B, Kania A. Ubiquitin ligase and signalling hub MYCBP2 is required for efficient EPHB2 tyrosine kinase receptor function. eLife 2024; 12:RP89176. [PMID: 38289221 PMCID: PMC10945567 DOI: 10.7554/elife.89176] [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] [Indexed: 02/01/2024] Open
Abstract
Eph receptor tyrosine kinases participate in a variety of normal and pathogenic processes during development and throughout adulthood. This versatility is likely facilitated by the ability of Eph receptors to signal through diverse cellular signalling pathways: primarily by controlling cytoskeletal dynamics, but also by regulating cellular growth, proliferation, and survival. Despite many proteins linked to these signalling pathways interacting with Eph receptors, the specific mechanisms behind such links and their coordination remain to be elucidated. In a proteomics screen for novel EPHB2 multi-effector proteins, we identified human MYC binding protein 2 (MYCBP2 or PAM or Phr1). MYCBP2 is a large signalling hub involved in diverse processes such as neuronal connectivity, synaptic growth, cell division, neuronal survival, and protein ubiquitination. Our biochemical experiments demonstrate that the formation of a complex containing EPHB2 and MYCBP2 is facilitated by FBXO45, a protein known to select substrates for MYCBP2 ubiquitin ligase activity. Formation of the MYCBP2-EPHB2 complex does not require EPHB2 tyrosine kinase activity and is destabilised by binding of ephrin-B ligands, suggesting that the MYCBP2-EPHB2 association is a prelude to EPHB2 signalling. Paradoxically, the loss of MYCBP2 results in increased ubiquitination of EPHB2 and a decrease of its protein levels suggesting that MYCBP2 stabilises EPHB2. Commensurate with this effect, our cellular experiments reveal that MYCBP2 is essential for efficient EPHB2 signalling responses in cell lines and primary neurons. Finally, our genetic studies in Caenorhabditis elegans provide in vivo evidence that the ephrin receptor VAB-1 displays genetic interactions with known MYCBP2 binding proteins. Together, our results align with the similarity of neurodevelopmental phenotypes caused by MYCBP2 and EPHB2 loss of function, and couple EPHB2 to a signalling effector that controls diverse cellular functions.
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Affiliation(s)
- Chao Chang
- Institut de recherches cliniques de Montréal (IRCM)MontréalCanada
- Integrated Program in Neuroscience, McGill UniversityMontréalCanada
| | - Sara L Banerjee
- Institut de recherches cliniques de Montréal (IRCM)MontréalCanada
- Division of Experimental Medicine, McGill UniversityMontréalCanada
| | - Sung Soon Park
- Institut de recherches cliniques de Montréal (IRCM)MontréalCanada
- Integrated Program in Neuroscience, McGill UniversityMontréalCanada
| | - Xiao Lei Zhang
- Institut de recherches cliniques de Montréal (IRCM)MontréalCanada
| | | | - Karla J Opperman
- Center for Integrative Brain Research, Seattle Children’s Research InstituteSeattleUnited States
| | - Muriel Desbois
- Center for Integrative Brain Research, Seattle Children’s Research InstituteSeattleUnited States
- School of Life Sciences, Keele UniversityKeeleUnited Kingdom
| | - Brock Grill
- Center for Integrative Brain Research, Seattle Children’s Research InstituteSeattleUnited States
- Department of Pediatrics, University of Washington School of MedicineSeattleUnited States
- Department of Pharmacology, University of Washington School of MedicineSeattleUnited States
| | - Artur Kania
- Institut de recherches cliniques de Montréal (IRCM)MontréalCanada
- Integrated Program in Neuroscience, McGill UniversityMontréalCanada
- Division of Experimental Medicine, McGill UniversityMontréalCanada
- Department of Anatomy and Cell Biology, McGill UniversityMontréalCanada
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Cevik S, Zhao P, Zorluer A, Pir MS, Bian W, Kaplan OI. Matching variants for functional characterization of genetic variants. G3 (BETHESDA, MD.) 2023; 13:jkad227. [PMID: 37933433 PMCID: PMC10700107 DOI: 10.1093/g3journal/jkad227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 09/06/2023] [Indexed: 11/08/2023]
Abstract
Rapid and low-cost sequencing, as well as computer analysis, have facilitated the diagnosis of many genetic diseases, resulting in a substantial rise in the number of disease-associated genes. However, genetic diagnosis of many disorders remains problematic due to the lack of interpretation for many genetic variants, especially missenses, the infeasibility of high-throughput experiments on mammals, and the shortcomings of computational prediction technologies. Additionally, the available mutant databases are not well-utilized. Toward this end, we used Caenorhabditis elegans mutant resources to delineate the functions of eight missense variants (V444I, V517D, E610K, L732F, E817K, H873P, R1105K, and G1205E) and two stop codons (W937stop and Q1434stop), including several matching variants (MatchVar) with human in ciliopathy associated IFT-140 (also called CHE-11)//IFT140 (intraflagellar transport protein 140). Moreover, MatchVars carrying C. elegans mutants, including IFT-140(G680S) and IFT-140(P702A) for the human (G704S) (dbSNP: rs150745099) and P726A (dbSNP: rs1057518064 and a conflicting variation) were created using CRISPR/Cas9. IFT140 is a key component of IFT complex A (IFT-A), which is involved in the retrograde transport of IFT along cilia and the entrance of G protein-coupled receptors into cilia. Functional analysis of all 10 variants revealed that P702A and W937stop, but not others phenocopied the ciliary phenotypes (short cilia, IFT accumulations, mislocalization of membrane proteins, and cilia entry of nonciliary proteins) of the IFT-140 null mutant, indicating that both P702A and W937stop are phenotypic in C. elegans. Our functional data offered experimental support for interpreting human variants, by using ready-to-use mutants carrying MatchVars and generating MatchVars with CRISPR/Cas9.
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Affiliation(s)
- Sebiha Cevik
- Rare Disease Laboratory, School of Life and Natural Sciences, Abdullah Gul University, Kayseri 38080, Turkey
| | - Pei Zhao
- School of Applied Science and Engineering, Fuzhou Institute of Technology, Fuzhou 350014, China
- SunyBiotech Co., Ltd., Fuzhou 35000, China
| | - Atiyye Zorluer
- Rare Disease Laboratory, School of Life and Natural Sciences, Abdullah Gul University, Kayseri 38080, Turkey
| | - Mustafa S Pir
- Rare Disease Laboratory, School of Life and Natural Sciences, Abdullah Gul University, Kayseri 38080, Turkey
| | | | - Oktay I Kaplan
- Rare Disease Laboratory, School of Life and Natural Sciences, Abdullah Gul University, Kayseri 38080, Turkey
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7
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Amezquita J, Desbois M, Opperman KJ, Pak JS, Christensen EL, Nguyen NT, Diaz-Garcia K, Borgen MA, Grill B. Axon development is regulated at genetic and proteomic interfaces between the integrin adhesome and the RPM-1 ubiquitin ligase signaling hub. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.15.566604. [PMID: 38014183 PMCID: PMC10680716 DOI: 10.1101/2023.11.15.566604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Integrin signaling plays important roles in development and disease. An adhesion signaling network called the integrin adhesome has been principally defined using bioinformatics and proteomics. To date, the adhesome has not been studied using integrated proteomic and genetic approaches. Here, proteomic studies in C. elegans identified physical associations between the RPM-1 ubiquitin ligase signaling hub and numerous adhesome components including Talin, Kindlin and beta-integrin. C. elegans RPM-1 is orthologous to human MYCBP2, a prominent player in nervous system development associated with a neurodevelopmental disorder. Using neuron-specific, CRISPR loss-of-function strategies, we show that core adhesome components affect axon development and interact genetically with RPM-1. Mechanistically, Talin opposes RPM-1 in a functional 'tug-of-war' on growth cones that is required for accurate axon termination. Thus, our findings orthogonally validate the adhesome via multi-component genetic and physical interfaces with a key neuronal signaling hub and identify new links between the adhesome and brain disorders.
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8
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Chang C, Banerjee SL, Park SS, Zhang X, Cotnoir-White D, Opperman KJ, Desbois M, Grill B, Kania A. Ubiquitin ligase and signalling hub MYCBP2 is required for efficient EPHB2 tyrosine kinase receptor function. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.12.544638. [PMID: 37693478 PMCID: PMC10491099 DOI: 10.1101/2023.06.12.544638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Eph receptor tyrosine kinases participate in a variety of normal and pathogenic processes during development and throughout adulthood. This versatility is likely facilitated by the ability of Eph receptors to signal through diverse cellular signalling pathways: primarily by controlling cytoskeletal dynamics, but also by regulating cellular growth, proliferation, and survival. Despite many proteins linked to these signalling pathways interacting with Eph receptors, the specific mechanisms behind such links and their coordination remain to be elucidated. In a proteomics screen for novel EPHB2 multi-effector proteins, we identified human MYC binding protein 2 (MYCBP2 or PAM or Phr1). MYCBP2 is a large signalling hub involved in diverse processes such as neuronal connectivity, synaptic growth, cell division, neuronal survival, and protein ubiquitination. Our biochemical experiments demonstrate that the formation of a complex containing EPHB2 and MYCBP2 is facilitated by FBXO45, a protein known to select substrates for MYCBP2 ubiquitin ligase activity. Formation of the MYCBP2-EPHB2 complex does not require EPHB2 tyrosine kinase activity and is destabilised by binding of ephrin-B ligands, suggesting that the MYCBP2-EPHB2 association is a prelude to EPHB2 signalling. Paradoxically, the loss of MYCBP2 results in increased ubiquitination of EPHB2 and a decrease of its protein levels suggesting that MYCBP2 stabilises EPHB2. Commensurate with this effect, our cellular experiments reveal that MYCBP2 is essential for efficient EPHB2 signalling responses in cell lines and primary neurons. Finally, our genetic studies in C. elegans provide in vivo evidence that the ephrin receptor VAB-1 displays genetic interactions with known MYCBP2 binding proteins. Together, our results align with the similarity of neurodevelopmental phenotypes caused by MYCBP2 and EPHB2 loss of function, and couple EPHB2 to a signaling effector that controls diverse cellular functions.
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Affiliation(s)
- Chao Chang
- Institut de recherches cliniques de Montréal (IRCM), Montréal, QC, H2W 1R7, Canada
- Integrated Program in Neuroscience, McGill University, Montréal, QC, H3A 2B4, Canada
| | - Sara L. Banerjee
- Institut de recherches cliniques de Montréal (IRCM), Montréal, QC, H2W 1R7, Canada
- Division of Experimental Medicine, McGill University, Montréal, QC, H3A 2B2, Canada
| | - Sung Soon Park
- Institut de recherches cliniques de Montréal (IRCM), Montréal, QC, H2W 1R7, Canada
- Integrated Program in Neuroscience, McGill University, Montréal, QC, H3A 2B4, Canada
| | - Xiaolei Zhang
- Institut de recherches cliniques de Montréal (IRCM), Montréal, QC, H2W 1R7, Canada
| | - David Cotnoir-White
- Institut de recherches cliniques de Montréal (IRCM), Montréal, QC, H2W 1R7, Canada
| | - Karla J. Opperman
- Center for Integrative Brain Research, Seattle Children’s Research Institute, Seattle, WA 98101, USA
| | - Muriel Desbois
- Center for Integrative Brain Research, Seattle Children’s Research Institute, Seattle, WA 98101, USA
- School of Life Sciences, Keele University, Keele, Staffordshire ST5 5BG, UK
| | - Brock Grill
- Center for Integrative Brain Research, Seattle Children’s Research Institute, Seattle, WA 98101, USA
- Department of Pediatrics, University of Washington School of Medicine, Seattle, WA 98101, USA
- Department of Pharmacology, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Artur Kania
- Institut de recherches cliniques de Montréal (IRCM), Montréal, QC, H2W 1R7, Canada
- Integrated Program in Neuroscience, McGill University, Montréal, QC, H3A 2B4, Canada
- Division of Experimental Medicine, McGill University, Montréal, QC, H3A 2B2, Canada
- Department of Anatomy and Cell Biology, McGill University, Montréal, QC, H3A 0C7, Canada
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Neff RA, Bosch-Gutierrez A, Sun Y, Katsyv I, Song WM, Wang M, Walsh MJ, Zhang B. Dysfunction of ubiquitin protein ligase MYCBP2 leads to cell resilience in human breast cancers. NAR Cancer 2023; 5:zcad036. [PMID: 37435531 PMCID: PMC10331931 DOI: 10.1093/narcan/zcad036] [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: 04/26/2023] [Accepted: 06/26/2023] [Indexed: 07/13/2023] Open
Abstract
Breast cancer is the most common type of cancer among women worldwide, and it is estimated that 294 000 new diagnoses and 37 000 deaths will occur each year in the United States alone by 2030. Large-scale genomic studies have identified a number of genetic loci with alterations in breast cancer. However, identification of the genes that are critical for tumorgenicity still remains a challenge. Here, we perform a comprehensive functional multi-omics analysis of somatic mutations in breast cancer and identify previously unknown key regulators of breast cancer tumorgenicity. We identify dysregulation of MYCBP2, an E3 ubiquitin ligase and an upstream regulator of mTOR signaling, is accompanied with decreased disease-free survival. We validate MYCBP2 as a key target through depletion siRNA using in vitro apoptosis assays in MCF10A, MCF7 and T47D cells. We demonstrate that MYCBP2 loss is associated with resistance to apoptosis from cisplatin-induced DNA damage and cell cycle changes, and that CHEK1 inhibition can modulate MYCBP2 activity and caspase cleavage. Furthermore, we show that MYCBP2 knockdown is associated with transcriptomic responses in TSC2 and in apoptosis genes and interleukins. Therefore, we show that MYCBP2 is an important genetic target that represents a key node regulating multiple molecular pathways in breast cancer corresponding with apparent drug resistance in our study.
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Affiliation(s)
- Ryan A Neff
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Medical Scientist Training Program, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Almudena Bosch-Gutierrez
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- The Mount Sinai Center for RNA Biology and Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Yifei Sun
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- The Mount Sinai Center for RNA Biology and Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Igor Katsyv
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Won-min Song
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
| | - Minghui Wang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
| | - Martin J Walsh
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- The Mount Sinai Center for RNA Biology and Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Bin Zhang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
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