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Jeyaprakash K, Kumaran M, Kim U, Santhi R, Muthukkaruppan V, Devarajan B, Vanniarajan A. Investigating druggable kinases for targeted therapy in retinoblastoma. J Hum Genet 2024; 69:467-474. [PMID: 38956221 DOI: 10.1038/s10038-024-01267-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 04/04/2024] [Accepted: 06/14/2024] [Indexed: 07/04/2024]
Abstract
Retinoblastoma (RB) is a childhood retinal neoplasm and commonly treated with cytotoxic chemotherapeutic agents. However, these therapeutic approaches often lead to diverse adverse effects. A precise molecular therapy will alleviate these side effects and offer better treatment outcomes. Over the years, kinases have become potential drug targets in cancer therapy. Hence, we aimed to investigate genetic alterations of putative kinase drug targets in RB. Targeted exome sequencing was performed on 35 RB tumors with paired blood samples using a gene panel consisting of 29 FDA-approved kinase genes. Single nucleotide variants were analyzed for pathogenicity using an in-house pipeline and copy number variations (CNVs) were detected by a depth of coverage and CNVPanelizer. The correlation between genetic changes and clinicopathological features was assessed using GraphPad Prism. Three somatic mutations, two in ERBB4 and one in EGFR were identified. Two of these mutations (ERBB4 c.C3836A & EGFR c.A1196T) were not reported earlier. CNV analysis revealed recurrent gains of ALK, MAP2K2, SRC, STK11, and FGFR3 as well as frequent losses of ATM, PI3KCA and ERBB4. Notably, nonresponsive tumors had a higher incidence of amplifications in clinically actionable genes such as ALK. Moreover, ALK gain and ATM loss were strongly correlated with optic nerve head invasion. In conclusion, our study revealed genetic alterations of druggable kinases in RB, providing preliminary insights for the exploration of kinase-targeted therapy in RB.
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Affiliation(s)
- Kumar Jeyaprakash
- Department of Molecular Genetics, Aravind Medical Research Foundation, Madurai, India
- Department of Molecular Biology, Aravind Medical Research Foundation, Affiliated to Alagappa University, Karaikudi, Tamil Nadu, India
| | - Manojkumar Kumaran
- Department of Bioinformatics, Aravind Medical Research Foundation, Madurai, India
| | - Usha Kim
- Department of Orbit, Oculoplasty and Oncology, Aravind Eye Hospital, Madurai, India
| | | | | | | | - Ayyasamy Vanniarajan
- Department of Molecular Genetics, Aravind Medical Research Foundation, Madurai, India.
- Department of Molecular Biology, Aravind Medical Research Foundation, Affiliated to Alagappa University, Karaikudi, Tamil Nadu, India.
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2
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Tariq SS, Zia K, Nur-E-Alam M, Nerukh D, Farafonov VS, Ul-Haq Z. Impact of mutations in SARS-CoV-2 recombinant sub-variant XBB.1.16 on the binding affinity with human ACE2 receptor. J Mol Graph Model 2024; 131:108813. [PMID: 38885553 DOI: 10.1016/j.jmgm.2024.108813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 06/12/2024] [Accepted: 06/12/2024] [Indexed: 06/20/2024]
Abstract
Despite the waning threat of the COVID-19 pandemic, its detrimental impact on global health persists. Regardless of natural immunity or immunity obtained through vaccination, emerging variants of the virus continue to undergo mutations and propagate globally. The persistent mutations in SARS-CoV-2, along with the subsequent formation of recombinant sub-variants has become a challenge for researchers and health professionals, raising concerns about the efficacy of current vaccines. Gaining a better understanding of the biochemical interactions between the Spike Protein (RBD) of SARS-CoV-2 variants and the human ACE2 receptor can prove to be beneficial in designing and developing antiviral therapeutics that are equally effective against all strains and emerging variants. Our objective in this study was to investigate the interfacial binding pattern of the SARS-CoV-2 RBD-ACE2 complex of the Wild Type (WT), Omicron, and the Omicron recombinant sub-variant XBB.1.16. We aimed to examine the atomic level factors and observe how mutations influence the interaction between the virus and its host using Molecular Dynamics simulation, MM/GBSA energy calculations, and Principal Component Analysis. Our findings reveal a higher degree of structural deviation and flexibility in XBB.1.16 compared to WT and Omicron. PCA indicated a wider cluster and significant flexibility in the movements of XBB.1.16 which can also be observed in free energy landscapes, while the normal mode analysis revealed converging motions within the RBD-ACE2 complexes which can facilitate the interaction between them. A pattern of decreased binding affinity was observed in case of XBB.1.16 when compared to the WT and Omicron. These observed deviations in XBB.1.16 when compared to its parent lineage Omicron, and WT can be attributed to the mutations specific to it. Collectively, these results enhance our understanding of the impact of mutations on the interaction between this strain and the host, taking us one step closer to designing effective antiviral therapeutics against the continually mutating strains.
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Affiliation(s)
- Syeda Sumayya Tariq
- Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, 75270, Pakistan
| | - Komal Zia
- Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, 75270, Pakistan
| | - Mohammad Nur-E-Alam
- Department of Pharmacognosy, College of Pharmacy, King Saud University, P.O. Box. 2457, Riyadh, 11451, Saudi Arabia
| | - Dmitry Nerukh
- Department of Mathematics, Aston University, Birmingham, B4 7ET, United Kingdom
| | - Vladimir S Farafonov
- Department of Mathematics, Aston University, Birmingham, B4 7ET, United Kingdom; Department of Physical Chemistry, V.N.Karazin Kharkiv National University, Kharkiv, 61022, Ukraine
| | - Zaheer Ul-Haq
- Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, 75270, Pakistan.
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3
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Lin YJ, Menon AS, Hu Z, Brenner SE. Variant Impact Predictor database (VIPdb), version 2: trends from three decades of genetic variant impact predictors. Hum Genomics 2024; 18:90. [PMID: 39198917 DOI: 10.1186/s40246-024-00663-z] [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: 06/22/2024] [Accepted: 08/19/2024] [Indexed: 09/01/2024] Open
Abstract
BACKGROUND Variant interpretation is essential for identifying patients' disease-causing genetic variants amongst the millions detected in their genomes. Hundreds of Variant Impact Predictors (VIPs), also known as Variant Effect Predictors (VEPs), have been developed for this purpose, with a variety of methodologies and goals. To facilitate the exploration of available VIP options, we have created the Variant Impact Predictor database (VIPdb). RESULTS The Variant Impact Predictor database (VIPdb) version 2 presents a collection of VIPs developed over the past three decades, summarizing their characteristics, ClinGen calibrated scores, CAGI assessment results, publication details, access information, and citation patterns. We previously summarized 217 VIPs and their features in VIPdb in 2019. Building upon this foundation, we identified and categorized an additional 190 VIPs, resulting in a total of 407 VIPs in VIPdb version 2. The majority of the VIPs have the capacity to predict the impacts of single nucleotide variants and nonsynonymous variants. More VIPs tailored to predict the impacts of insertions and deletions have been developed since the 2010s. In contrast, relatively few VIPs are dedicated to the prediction of splicing, structural, synonymous, and regulatory variants. The increasing rate of citations to VIPs reflects the ongoing growth in their use, and the evolving trends in citations reveal development in the field and individual methods. CONCLUSIONS VIPdb version 2 summarizes 407 VIPs and their features, potentially facilitating VIP exploration for various variant interpretation applications. VIPdb is available at https://genomeinterpretation.org/vipdb.
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Affiliation(s)
- Yu-Jen Lin
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, 94720, USA
- Center for Computational Biology, University of California, Berkeley, CA, 94720, USA
| | - Arul S Menon
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, 94720, USA
- College of Computing, Data Science, and Society, University of California, Berkeley, CA, 94720, USA
| | - Zhiqiang Hu
- Department of Plant and Microbial Biology, University of California, 111 Koshland Hall #3102, Berkeley, CA, 94720-3102, USA
- Illumina, Foster City, CA, 94404, USA
| | - Steven E Brenner
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, 94720, USA.
- Center for Computational Biology, University of California, Berkeley, CA, 94720, USA.
- College of Computing, Data Science, and Society, University of California, Berkeley, CA, 94720, USA.
- Department of Plant and Microbial Biology, University of California, 111 Koshland Hall #3102, Berkeley, CA, 94720-3102, USA.
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4
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Li SS, Liu ZM, Li J, Ma YB, Dong ZY, Hou JW, Shen FJ, Wang WB, Li QM, Su JG. Prediction of mutation-induced protein stability changes based on the geometric representations learned by a self-supervised method. BMC Bioinformatics 2024; 25:282. [PMID: 39198740 DOI: 10.1186/s12859-024-05876-6] [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: 02/27/2024] [Accepted: 07/19/2024] [Indexed: 09/01/2024] Open
Abstract
BACKGROUND Thermostability is a fundamental property of proteins to maintain their biological functions. Predicting protein stability changes upon mutation is important for our understanding protein structure-function relationship, and is also of great interest in protein engineering and pharmaceutical design. RESULTS Here we present mutDDG-SSM, a deep learning-based framework that uses the geometric representations encoded in protein structure to predict the mutation-induced protein stability changes. mutDDG-SSM consists of two parts: a graph attention network-based protein structural feature extractor that is trained with a self-supervised learning scheme using large-scale high-resolution protein structures, and an eXtreme Gradient Boosting model-based stability change predictor with an advantage of alleviating overfitting problem. The performance of mutDDG-SSM was tested on several widely-used independent datasets. Then, myoglobin and p53 were used as case studies to illustrate the effectiveness of the model in predicting protein stability changes upon mutations. Our results show that mutDDG-SSM achieved high performance in estimating the effects of mutations on protein stability. In addition, mutDDG-SSM exhibited good unbiasedness, where the prediction accuracy on the inverse mutations is as well as that on the direct mutations. CONCLUSION Meaningful features can be extracted from our pre-trained model to build downstream tasks and our model may serve as a valuable tool for protein engineering and drug design.
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Affiliation(s)
- Shan Shan Li
- High Performance Computing Center, National Vaccine and Serum Institute (NVSI), Beijing, China
- National Engineering Center for New Vaccine Research, Beijing, China
| | - Zhao Ming Liu
- National Engineering Center for New Vaccine Research, Beijing, China
- The Sixth Laboratory, National Vaccine and Serum Institute (NVSI), Beijing, China
| | - Jiao Li
- High Performance Computing Center, National Vaccine and Serum Institute (NVSI), Beijing, China
- National Engineering Center for New Vaccine Research, Beijing, China
| | - Yi Bo Ma
- High Performance Computing Center, National Vaccine and Serum Institute (NVSI), Beijing, China
- National Engineering Center for New Vaccine Research, Beijing, China
| | - Ze Yuan Dong
- High Performance Computing Center, National Vaccine and Serum Institute (NVSI), Beijing, China
- National Engineering Center for New Vaccine Research, Beijing, China
| | - Jun Wei Hou
- National Engineering Center for New Vaccine Research, Beijing, China
- The Sixth Laboratory, National Vaccine and Serum Institute (NVSI), Beijing, China
| | - Fu Jie Shen
- National Engineering Center for New Vaccine Research, Beijing, China
- The Sixth Laboratory, National Vaccine and Serum Institute (NVSI), Beijing, China
| | - Wei Bu Wang
- High Performance Computing Center, National Vaccine and Serum Institute (NVSI), Beijing, China
- National Engineering Center for New Vaccine Research, Beijing, China
| | - Qi Ming Li
- National Engineering Center for New Vaccine Research, Beijing, China.
- The Sixth Laboratory, National Vaccine and Serum Institute (NVSI), Beijing, China.
| | - Ji Guo Su
- High Performance Computing Center, National Vaccine and Serum Institute (NVSI), Beijing, China.
- National Engineering Center for New Vaccine Research, Beijing, China.
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Hobara T, Higuchi Y, Yoshida M, Suehara M, Ando M, Yuan JH, Yoshimura A, Kojima F, Matsuura E, Okamoto Y, Mitsui J, Tsuji S, Takashima H. Genetic and pathophysiological insights from autopsied patient with primary familial brain calcification: novel MYORG variants and astrocytic implications. Acta Neuropathol Commun 2024; 12:136. [PMID: 39180105 PMCID: PMC11342542 DOI: 10.1186/s40478-024-01847-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Accepted: 08/04/2024] [Indexed: 08/26/2024] Open
Abstract
Primary familial brain calcification (PFBC) is a genetic neurological disorder characterized by symmetric brain calcifications that manifest with variable neurological symptoms. This study aimed to explore the genetic basis of PFBC and elucidate the underlying pathophysiological mechanisms. Six patients from four pedigrees with brain calcification were enrolled. Whole-exome sequencing identified two novel homozygous variants, c.488G > T (p.W163L) and c.2135G > A (p.W712*), within the myogenesis regulating glycosidase (MYORG) gene. Cerebellar ataxia (n = 5) and pyramidal signs (n = 4) were predominant symptoms, with significant clinical heterogeneity noted even within the same family. An autopsy of one patient revealed extensive brainstem calcifications, sparing the cerebral cortex, and marked by calcifications predominantly in capillaries and arterioles. The pathological study suggested morphological alterations characterized by shortened foot processes within astrocytes in regions with pronounced calcification and decreased immunoreactivity of AQP4. The morphology of astrocytes in regions without calcification remains preserved. Neuronal loss and gliosis were observed in the basal ganglia, thalamus, brainstem, cerebellum, and dentate nucleus. Notably, olivary hypertrophy, a previously undescribed feature in MYORG-PFBC, was discovered. Neuroimaging showed reduced blood flow in the cerebellum, highlighting the extent of cerebellar involvement. Among perivascular cells constituting the blood-brain barrier (BBB) and neurovascular unit, MYORG is most highly expressed in astrocytes. Astrocytes are integral components of the BBB, and their dysfunction can precipitate BBB disruption, potentially leading to brain calcification and subsequent neuronal loss. This study presents two novel homozygous variants in the MYORG gene and highlights the pivotal role of astrocytes in the development of brain calcifications, providing insights into the pathophysiological mechanisms underlying PFBC associated with MYORG variants.
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Affiliation(s)
- Takahiro Hobara
- Department of Neurology and Geriatrics, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Yujiro Higuchi
- Department of Neurology and Geriatrics, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
| | - Mari Yoshida
- Department of Neuropathology, Institute for Medical Science of Aging, Aichi Medical University, Aichi, Japan
| | - Masahito Suehara
- Department of Neurology, Fujimoto General Hospital, Miyazaki, Japan
| | - Masahiro Ando
- Department of Neurology and Geriatrics, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Jun-Hui Yuan
- Department of Neurology and Geriatrics, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Akiko Yoshimura
- Department of Neurology and Geriatrics, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Fumikazu Kojima
- Department of Neurology and Geriatrics, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Eiji Matsuura
- Department of Neurology and Geriatrics, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Yuji Okamoto
- Department of Neurology and Geriatrics, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
- Department of Physical Therapy, School of Health Sciences, Faculty of Medicine, Kagoshima University, Kagoshima, Japan
| | - Jun Mitsui
- Department of Precision Medicine Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Shoji Tsuji
- Institute of Medical Genomics, International University of Health and Welfare, 4-3, Kozunomori, Chiba, Japan
- Department of Neurology, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, Japan
| | - Hiroshi Takashima
- Department of Neurology and Geriatrics, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
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6
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Liu X, Yang S, Sun M, Gao AX, Fan Z, Yang Y, Zheng P, Liu C, Li Y, Bai Z. Enhanced molecular stability of ApxII antigen during secretion in Corynebacterium glutamicum by rational design. J Biotechnol 2024; 394:73-84. [PMID: 39173715 DOI: 10.1016/j.jbiotec.2024.08.003] [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: 04/17/2024] [Revised: 06/26/2024] [Accepted: 08/03/2024] [Indexed: 08/24/2024]
Abstract
ApxII is a vaccine antigen used to protect against porcine contagious pleuropneumonia, which is a significant threat to the pig industry. Here, we aimed to improve the proteolytic degradation stability of ApxII during its secretion by establishing a complete screening process of stable variants through bioinformatics and site-directed mutagenesis. We employed a combination of semi-rational and rational design strategies to create 34 single-point variants of ApxII. Among them, R114E and T115D variants exhibited better stability without compromising antigen activity. Furthermore, we constructed a multi-site variant, R114E/T115D, which demonstrated the best stability, activity, and yield. Protein stability and molecular dynamic analysis indicated that the greater solubility and lower structural expansion coefficient might explain the increased stability of R114E/T115D. Additionally, site T115 was identified as a key point of truncated ApxII stability. The R114E/T115D variant, with its proven stability and intact antigenic activity, holds promising prospects for industrial-scale applications in the prevention of porcine contagious pleuropneumonia.
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Affiliation(s)
- Xiuxia Liu
- Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi 214122, China; National Engineering Research Center of Cereal Fermentation and Food Biomanufacturing, Jiangnan University, Wuxi 214112, China; Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University, Wuxi 214122, China
| | - Shujie Yang
- Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi 214122, China; National Engineering Research Center of Cereal Fermentation and Food Biomanufacturing, Jiangnan University, Wuxi 214112, China; Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University, Wuxi 214122, China
| | - Manman Sun
- Key laboratory of high magnetic field and Ion beam physical biology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, China
| | - Alex Xiong Gao
- Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Ziming Fan
- Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi 214122, China; National Engineering Research Center of Cereal Fermentation and Food Biomanufacturing, Jiangnan University, Wuxi 214112, China; Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University, Wuxi 214122, China
| | - Yankun Yang
- Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi 214122, China; National Engineering Research Center of Cereal Fermentation and Food Biomanufacturing, Jiangnan University, Wuxi 214112, China; Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University, Wuxi 214122, China.
| | - Pei Zheng
- Tecon Biology CO.Ltd, Urumqi 83000, China
| | - Chunli Liu
- Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi 214122, China; National Engineering Research Center of Cereal Fermentation and Food Biomanufacturing, Jiangnan University, Wuxi 214112, China; Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University, Wuxi 214122, China
| | - Ye Li
- Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi 214122, China; National Engineering Research Center of Cereal Fermentation and Food Biomanufacturing, Jiangnan University, Wuxi 214112, China; Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University, Wuxi 214122, China
| | - Zhonghu Bai
- Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi 214122, China; National Engineering Research Center of Cereal Fermentation and Food Biomanufacturing, Jiangnan University, Wuxi 214112, China; Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University, Wuxi 214122, China
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7
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Sebastiano MR, Hadano S, Cesca F, Iahsp Consortium, Ermondi G. Preclinical alternative drug discovery programs for monogenic rare diseases. The case of hereditary spastic paraplegias. Drug Discov Today 2024:104138. [PMID: 39154774 DOI: 10.1016/j.drudis.2024.104138] [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: 04/09/2024] [Revised: 06/28/2024] [Accepted: 08/13/2024] [Indexed: 08/20/2024]
Abstract
Patients diagnosed with rare diseases and their and families search desperately to organize drug discovery campaigns. Alternative models that differ from default paradigms offer real opportunities. There are, however, no clear guidelines for the development of such models, which reduces success rates and raises costs. We address the main challenges in making the discovery of new preclinical treatments more accessible, using rare hereditary paraplegia as a paradigmatic case. First, we discuss the necessary expertise, and the patients' clinical and genetic data. Then, we revisit gene therapy, de novo drug development, and drug repurposing, discussing their applicability. Moreover, we explore a pool of recommended in silico tools for pathogenic variant and protein structure prediction, virtual screening, and experimental validation methods, discussing their strengths and weaknesses. Finally, we focus on successful case applications.
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Affiliation(s)
- Matteo Rossi Sebastiano
- University of Torino, Molecular Biotechnology and Health Sciences Department, CASSMedChem, Piazza Nizza, 10138 Torino, Italy
| | - Shinji Hadano
- Molecular Neuropathobiology Laboratory, Department of Physiology, Tokai University School of Medicine, Isehara, Japan
| | - Fabrizia Cesca
- Department of Life Sciences, University of Trieste, 34127 Trieste, Italy
| | - Iahsp Consortium
- University of Torino, Molecular Biotechnology and Health Sciences Department, CASSMedChem, Piazza Nizza, 10138 Torino, Italy; Department of Life Sciences, University of Trieste, 34127 Trieste, Italy; Department of Neurosciences Rita Levi-Montalcini, University of Turin, Turin, Italy; Medical Genetics Unit, Città della Salute e della Scienza University Hospital, Turin, Italy; Department of Medical Sciences, University of Torino, Turin, Italy; Research Laboratory of Medical Cytogenetics and Molecular Genetics, IRCCS Istituto Auxologico Italiano, Milan, Italy; PUXANO, Ottergemsesteenweg Zuid 713, 9000 Gent, Belgium; Department of Developmental Neuroscience, IRCCS Stella Maris, Calambrone, Pisa, Italy; IRCCS Stella Maris Foundation, Molecular Medicine for Neurodegenerative and Neuromuscular Disease Unit, Pisa, Italy; Department of Clinical and Experimental Medicine, Neurological Clinic, University of Pisa, Pisa, Italy
| | - Giuseppe Ermondi
- University of Torino, Molecular Biotechnology and Health Sciences Department, CASSMedChem, Piazza Nizza, 10138 Torino, Italy
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Kandoussi I, El Haddoumi G, Mansouri M, Belyamani L, Ibrahimi A, Eljaoudi R. Overcoming Resistance in Cancer Therapy: Computational Exploration of PIK3CA Mutations, Unveiling Novel Non-Toxic Inhibitors, and Molecular Insights Into Targeting PI3Kα. Bioinform Biol Insights 2024; 18:11779322241269386. [PMID: 39176270 PMCID: PMC11339747 DOI: 10.1177/11779322241269386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 06/21/2024] [Indexed: 08/24/2024] Open
Abstract
Phosphoinositide-3-kinases (PI3 K) are pivotal regulators of cell signaling implicated in various cancers. Particularly, mutations in the PIK3CA gene encoding the p110α catalytic subunit drive oncogenic signaling, making it an attractive therapeutic target. Our study conducted in silico exploration of 31 PIK3CA mutations across breast, endometrial, colon, and ovarian cancers, assessing their impacts on response to PI3Kα inhibitors and identifying potential non-toxic inhibitors and also elucidating their effects on protein stability and flexibility. Specifically, we observed significant alterations in the stability and flexibility of the PI3 K protein induced by these mutations. Through molecular docking analysis, we evaluated the binding interactions between the selected inhibitors and the PI3 K protein. The filtration of ligands involved calculating chemical descriptors, incorporating Veber and Lipinski rules, as well as IC50 values and toxicity predictions. This process reduced the initial dataset of 1394 ligands to 12 potential non-toxic inhibitors, and four reference inhibitors with significant biological activity in clinical trials were then chosen based on their physico-chemical properties. This analysis revealed Lig5's exceptional performance, exhibiting superior affinity and specificity compared to established reference inhibitors such as pictilisib. Lig5 formed robust binding interactions with the PI3 K protein, suggesting its potential as a highly effective therapeutic agent against PI3 K-driven cancers. Furthermore, molecular dynamics simulations provided valuable insights into Lig5's stability and its interactions with PI3 K over 100 ns. These simulations supported Lig5's potential as a versatile inhibitor capable of effectively targeting various mutational profiles of PI3 K, thereby mitigating issues related to resistance and toxicity commonly associated with current inhibitors.
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Affiliation(s)
- Ilham Kandoussi
- Biotechnology Lab (MedBiotech), Bioinova Research Center, Rabat Medical & Pharmacy School, Mohammed V University in Rabat, Rabat, Morocco
| | - Ghyzlane El Haddoumi
- Biotechnology Lab (MedBiotech), Bioinova Research Center, Rabat Medical & Pharmacy School, Mohammed V University in Rabat, Rabat, Morocco
| | - Mariam Mansouri
- Biotechnology Lab (MedBiotech), Bioinova Research Center, Rabat Medical & Pharmacy School, Mohammed V University in Rabat, Rabat, Morocco
| | - Lahcen Belyamani
- Mohammed VI University of Health Sciences (UM6SS), Casablanca, Morocco
- Emergency Department, Military Hospital Mohammed V, Medical and Pharmacy School, Mohammed V University in Rabat, Rabat, Morocco
| | - Azeddine Ibrahimi
- Biotechnology Lab (MedBiotech), Bioinova Research Center, Rabat Medical & Pharmacy School, Mohammed V University in Rabat, Rabat, Morocco
| | - Rachid Eljaoudi
- Biotechnology Lab (MedBiotech), Bioinova Research Center, Rabat Medical & Pharmacy School, Mohammed V University in Rabat, Rabat, Morocco
- Mohammed VI University of Health Sciences (UM6SS), Casablanca, Morocco
- Emergency Department, Military Hospital Mohammed V, Medical and Pharmacy School, Mohammed V University in Rabat, Rabat, Morocco
- Department of Pharmacology and Toxicology, Faculty of Medicine and Pharmacy, Mohammed V University in Rabat, Rabat, Morocco
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9
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Fasano C, Lepore Signorile M, De Marco K, Forte G, Disciglio V, Sanese P, Grossi V, Simone C. In Silico Deciphering of the Potential Impact of Variants of Uncertain Significance in Hereditary Colorectal Cancer Syndromes. Cells 2024; 13:1314. [PMID: 39195204 DOI: 10.3390/cells13161314] [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: 06/05/2024] [Revised: 07/23/2024] [Accepted: 08/03/2024] [Indexed: 08/29/2024] Open
Abstract
Colorectal cancer (CRC) ranks third in terms of cancer incidence worldwide and is responsible for 8% of all deaths globally. Approximately 10% of CRC cases are caused by inherited pathogenic mutations in driver genes involved in pathways that are crucial for CRC tumorigenesis and progression. These hereditary mutations significantly increase the risk of initial benign polyps or adenomas developing into cancer. In recent years, the rapid and accurate sequencing of CRC-specific multigene panels by next-generation sequencing (NGS) technologies has enabled the identification of several recurrent pathogenic variants with established functional consequences. In parallel, rare genetic variants that are not characterized and are, therefore, called variants of uncertain significance (VUSs) have also been detected. The classification of VUSs is a challenging task because each amino acid has specific biochemical properties and uniquely contributes to the structural stability and functional activity of proteins. In this scenario, the ability to computationally predict the effect of a VUS is crucial. In particular, in silico prediction methods can provide useful insights to assess the potential impact of a VUS and support additional clinical evaluation. This approach can further benefit from recent advances in artificial intelligence-based technologies. In this review, we describe the main in silico prediction tools that can be used to evaluate the structural and functional impact of VUSs and provide examples of their application in the analysis of gene variants involved in hereditary CRC syndromes.
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Affiliation(s)
- Candida Fasano
- Medical Genetics, National Institute of Gastroenterology, IRCCS "Saverio de Bellis" Research Hospital, 70013 Castellana Grotte, Italy
| | - Martina Lepore Signorile
- Medical Genetics, National Institute of Gastroenterology, IRCCS "Saverio de Bellis" Research Hospital, 70013 Castellana Grotte, Italy
| | - Katia De Marco
- Medical Genetics, National Institute of Gastroenterology, IRCCS "Saverio de Bellis" Research Hospital, 70013 Castellana Grotte, Italy
| | - Giovanna Forte
- Medical Genetics, National Institute of Gastroenterology, IRCCS "Saverio de Bellis" Research Hospital, 70013 Castellana Grotte, Italy
| | - Vittoria Disciglio
- Medical Genetics, National Institute of Gastroenterology, IRCCS "Saverio de Bellis" Research Hospital, 70013 Castellana Grotte, Italy
| | - Paola Sanese
- Medical Genetics, National Institute of Gastroenterology, IRCCS "Saverio de Bellis" Research Hospital, 70013 Castellana Grotte, Italy
| | - Valentina Grossi
- Medical Genetics, National Institute of Gastroenterology, IRCCS "Saverio de Bellis" Research Hospital, 70013 Castellana Grotte, Italy
| | - Cristiano Simone
- Medical Genetics, National Institute of Gastroenterology, IRCCS "Saverio de Bellis" Research Hospital, 70013 Castellana Grotte, Italy
- Medical Genetics, Department of Precision and Regenerative Medicine and Jonic Area (DiMePRe-J), University of Bari Aldo Moro, 70124 Bari, Italy
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10
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Seneviratne S, Shi G, Szabo-Hever A, Zhang Z, Peters Haugrud AR, Running KLD, Singh G, Nandety RS, Fiedler JD, McClean PE, Xu SS, Friesen TL, Faris JD. Evolution, diversity, and function of the disease susceptibility gene Snn1 in wheat. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2024; 119:1720-1736. [PMID: 38923651 DOI: 10.1111/tpj.16879] [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: 02/27/2024] [Revised: 04/29/2024] [Accepted: 05/30/2024] [Indexed: 06/28/2024]
Abstract
Septoria nodorum blotch (SNB), caused by Parastagonospora nodorum, is a disease of durum and common wheat initiated by the recognition of pathogen-produced necrotrophic effectors (NEs) by specific wheat genes. The wheat gene Snn1 was previously cloned, and it encodes a wall-associated kinase that directly interacts with the NE SnTox1 leading to programmed cell death and ultimately the development of SNB. Here, sequence analysis of Snn1 from 114 accessions including diploid, tetraploid, and hexaploid wheat species revealed that some wheat lines possess two copies of Snn1 (designated Snn1-B1 and Snn1-B2) approximately 120 kb apart. Snn1-B2 evolved relatively recently as a paralog of Snn1-B1, and both genes have undergone diversifying selection. Three point mutations associated with the formation of the first SnTox1-sensitive Snn1-B1 allele from a primitive wild wheat were identified. Four subsequent and independent SNPs, three in Snn1-B1 and one in Snn1-B2, converted the sensitive alleles to insensitive forms. Protein modeling indicated these four mutations could abolish Snn1-SnTox1 compatibility either through destabilization of the Snn1 protein or direct disruption of the protein-protein interaction. A high-throughput marker was developed for the absent allele of Snn1, and it was 100% accurate at predicting SnTox1-insensitive lines in both durum and spring wheat. Results of this study increase our understanding of the evolution, diversity, and function of Snn1-B1 and Snn1-B2 genes and will be useful for marker-assisted elimination of these genes for better host resistance.
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Affiliation(s)
- Sudeshi Seneviratne
- Department of Plant Sciences, North Dakota State University, Fargo, North Dakota, 58102, USA
| | - Gongjun Shi
- Department of Plant Pathology, North Dakota State University, Fargo, North Dakota, 58102, USA
| | - Agnes Szabo-Hever
- USDA-ARS Cereal Crops Research Unit, Edward T. Schafer Agricultural Research Center, Fargo, North Dakota, 58102, USA
| | - Zengcui Zhang
- USDA-ARS Cereal Crops Research Unit, Edward T. Schafer Agricultural Research Center, Fargo, North Dakota, 58102, USA
| | - Amanda R Peters Haugrud
- USDA-ARS Cereal Crops Research Unit, Edward T. Schafer Agricultural Research Center, Fargo, North Dakota, 58102, USA
| | - Katherine L D Running
- Department of Plant Sciences, North Dakota State University, Fargo, North Dakota, 58102, USA
| | - Gurminder Singh
- Department of Plant Sciences, North Dakota State University, Fargo, North Dakota, 58102, USA
| | - Raja Sekhar Nandety
- USDA-ARS Cereal Crops Research Unit, Edward T. Schafer Agricultural Research Center, Fargo, North Dakota, 58102, USA
| | - Jason D Fiedler
- USDA-ARS Cereal Crops Research Unit, Edward T. Schafer Agricultural Research Center, Fargo, North Dakota, 58102, USA
| | - Phillip E McClean
- Department of Plant Sciences, North Dakota State University, Fargo, North Dakota, 58102, USA
| | - Steven S Xu
- USDA-ARS Crop Improvement and Genetics Research Unit, Western Regional Research Center, Albany, California, 94710, USA
| | - Timothy L Friesen
- USDA-ARS Cereal Crops Research Unit, Edward T. Schafer Agricultural Research Center, Fargo, North Dakota, 58102, USA
| | - Justin D Faris
- USDA-ARS Cereal Crops Research Unit, Edward T. Schafer Agricultural Research Center, Fargo, North Dakota, 58102, USA
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11
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Simon JP, Dong S. In-silico screening of missense nsSNPs in Delta-opioid receptor protein and their restoring tendency on MCRT interaction; focusing on dynamic nature. Int J Biol Macromol 2024; 275:133710. [PMID: 38977046 DOI: 10.1016/j.ijbiomac.2024.133710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 06/30/2024] [Accepted: 07/05/2024] [Indexed: 07/10/2024]
Abstract
Delta-opioid receptor protein (OPRD1) is one of the potential targets for treating pain. The presently available opioid agonists are known to cause unnecessary side effects. To discover a novel opioid agonist, our research group has synthesized a chimeric peptide MCRT and proved its potential activity through in vivo analysis. Non-synonymous SNPs (nsSNPs) missense mutations affect the functionality and stability of proteins leading to diseases. The current research was focused on understanding the role of MCRT in restoring the binding tendency of OPRD1 nsSNPs missense mutations on dynamic nature in comparison with Deltorphin-II and morphiceptin. The deleterious effects of nsSNPs were analyzed using various bioinformatics tools for predicting structural, functional, and oncogenic influence. The shortlisted nine nsSNPs were predicted for allergic reactions, domain changes, post-translation modification, multiple sequence alignment, secondary structure, molecular dynamic simulation (MDS), and peptide docking influence. Further, the docked complex of three shortlisted deleterious nsSNPs was analyzed using an MDS study, and the highly deleterious shortlisted nsSNP A149T was further analyzed for higher trajectory analysis. MCRT restored the binding tendency influence caused by nsSNPs on the dynamics of stability, functionality, binding affinity, secondary structure, residues connection, motion, and folding of OPRD1 protein.
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Affiliation(s)
- Jerine Peter Simon
- Department of Animal and Biomedical Sciences, School of Life Sciences, Lanzhou University, 222 Tianshui South Road, Lanzhou 730000, China
| | - Shouliang Dong
- Department of Animal and Biomedical Sciences, School of Life Sciences, Lanzhou University, 222 Tianshui South Road, Lanzhou 730000, China,; Key Laboratory of Preclinical Study for New Drugs of Gansu Province, Lanzhou University, 222 Tianshui South Road, Lanzhou 730000, China.
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12
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Xuan C, Xinxin F, Piao L, Wenbin K, Yingyin L, Chixiang L, Huayou Z. Identification of a novel RHCE*Ce (829G > A) allele associated with absence of C and e antigens expression. Transfus Med 2024. [PMID: 39087254 DOI: 10.1111/tme.13072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Revised: 07/15/2024] [Accepted: 07/24/2024] [Indexed: 08/02/2024]
Abstract
BACKGROUND The Rh blood group antigens are encoded by the RHD and RHCE genes, which possess a remarkable degree of polymorphism owing to their high homologous structures. These variants of the RH genes can lead to absence or weak expression of antigens. METHODS Analysis of RHCE genotyping by Polymerase Chain Reaction (PCR-SSP) method specific to detect c.48G, c.48C, 109 bp insertion of IVS2, c.201A and c.307C and RhCE phenotyping, were conducted in 316 Chinese patients in previous study. One patient with discrepancy typing result was collected for further RhCE serologic typing using microcolumn gel method and tube method in saline using monoclonal antibodies. PacBio sequencing was performed for RHCE, RHD and RHAG complete sequence analysis. 3D molecular models of the protein with the wild-type and mutant residue were generated using the DynaMut web server. The effect of the mutation on the protein function was predicted by PolyPhen-2 software. RESULTS One male patient of Chinese Han was detected with RHCE*C allele showed by PCR-SSP method but ccEE phenotype. Further PacBio sequencing identified one normal RHCE*cE allele and one RHCE*Ce allele carried a novel c.829G > A (p.Gly277Arg) variant, which the encoded amino acid located in the ninth transmembrane segment of RhCE protein. Crystallisation analysis of 3D molecular models revealed that the substitution at Arg277 leads to the formation of additional hydrogen bonds, including weak hydrogen bonds between multiple atoms. It also results in hydrophobic ion interactions between Arg277 and Ala244. This mutation is predicted to have a damaging effect on protein function. CONCLUSION One novel RHCE*Ce allele with c.829G > A (p.Gly277Arg) variant was identified to resulting in the absence or weak expression of C and e antigens.
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Affiliation(s)
- Ci Xuan
- Department of Transfusion Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- Department of Blood Transfusion, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Fan Xinxin
- Department of Transfusion Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Lv Piao
- Department of Transfusion Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Kong Wenbin
- Department of Transfusion Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Liang Yingyin
- Department of Transfusion Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Liu Chixiang
- Department of Transfusion Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Zhou Huayou
- Department of Transfusion Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
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13
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Bekele BM, Gazzerro E, Schoenrath F, Falk V, Rost S, Hoerning S, Jelting Y, Zaum AK, Spuler S, Knierim J. Undetected Neuromuscular Disease in Patients after Heart Transplantation. Int J Mol Sci 2024; 25:7819. [PMID: 39063061 PMCID: PMC11277526 DOI: 10.3390/ijms25147819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2024] [Revised: 07/10/2024] [Accepted: 07/15/2024] [Indexed: 07/28/2024] Open
Abstract
(1) Heart transplantation (HTX) improves the overall survival and functional status of end-stage heart failure patients with cardiomyopathies (CMPs). The majority of CMPs have genetic causes, and the overlap between CMPs and inherited myopathies is well documented. However, the long-term outcome in skeletal muscle function and possibility of an undiagnosed underlying genetic cause of both a cardiac and skeletal pathology remain unknown. (2) Thirty-nine patients were assessed using open and standardized interviews on muscle function, a quality-of-life (EuroQol EQ-5D-3L) questionnaire, and a physical examination (Medical Research Council Muscle scale). Whole-exome sequencing was completed in three stages for those with skeletal muscle weakness. (3) Seven patients (17.9%) reported new-onset muscle weakness and motor limitations. Objective muscle weakness in the upper and lower extremities was seen in four patients. In three of them, exome sequencing revealed pathogenic/likely pathogenic variants in the genes encoding nexilin, myosin heavy chain, titin, and SPG7. (4) Our findings support a positive long-term outcome of skeletal muscle function in HTX patients. However, 10% of patients showed clinical signs of myopathy due to a possible genetic cause. The integration of genetic testing and standardized neurological assessment of motor function during the peri-HTX period should be considered.
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Affiliation(s)
- Biniam Melese Bekele
- Muscle Research Unit, ECRC Experimental and Clinical Research Center, Charité—Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Lindenberger Weg 80, 13125 Berlin, Germany; (B.M.B.); (E.G.)
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany
- Charité—Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117 Berlin, Germany (J.K.)
- Deutsches Herzzentrum der Charité—Medical Heart Center of Charité and German Heart Institute Berlin, Department of Cardiothoracic and Vascular Surgery, Augustenburger Platz 1, 13353 Berlin, Germany
| | - Elisabetta Gazzerro
- Muscle Research Unit, ECRC Experimental and Clinical Research Center, Charité—Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Lindenberger Weg 80, 13125 Berlin, Germany; (B.M.B.); (E.G.)
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany
| | - Felix Schoenrath
- Charité—Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117 Berlin, Germany (J.K.)
- Deutsches Herzzentrum der Charité—Medical Heart Center of Charité and German Heart Institute Berlin, Department of Cardiothoracic and Vascular Surgery, Augustenburger Platz 1, 13353 Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner site Berlin, 13125 Berlin, Germany
| | - Volkmar Falk
- Charité—Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117 Berlin, Germany (J.K.)
- Deutsches Herzzentrum der Charité—Medical Heart Center of Charité and German Heart Institute Berlin, Department of Cardiothoracic and Vascular Surgery, Augustenburger Platz 1, 13353 Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner site Berlin, 13125 Berlin, Germany
- Translational Cardiovascular Technologies, Department of Health Sciences and Technology, Swiss Federal Institute of Technology (ETH), 8093 Zurich, Switzerland
| | - Simone Rost
- Institute for Human Genetics, University of Würzburg, 97074 Würzburg, Germany
| | - Selina Hoerning
- Institute for Human Genetics, University of Würzburg, 97074 Würzburg, Germany
| | - Yvonne Jelting
- Institute for Human Genetics, University of Würzburg, 97074 Würzburg, Germany
| | - Ann-Kathrin Zaum
- Institute for Human Genetics, University of Würzburg, 97074 Würzburg, Germany
| | - Simone Spuler
- Muscle Research Unit, ECRC Experimental and Clinical Research Center, Charité—Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Lindenberger Weg 80, 13125 Berlin, Germany; (B.M.B.); (E.G.)
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany
- Berlin Institute of Health at Charité—Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Jan Knierim
- Charité—Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117 Berlin, Germany (J.K.)
- Sana Paulinenkrankenhaus, Department of Internal Medicine and Cardiology, Dickensweg 25-39, 14055 Berlin, Germany
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14
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Cuturello F, Celoria M, Ansuini A, Cazzaniga A. Enhancing predictions of protein stability changes induced by single mutations using MSA-based Language Models. Bioinformatics 2024; 40:btae447. [PMID: 39012369 PMCID: PMC11269464 DOI: 10.1093/bioinformatics/btae447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 06/19/2024] [Accepted: 07/10/2024] [Indexed: 07/17/2024] Open
Abstract
MOTIVATION Protein Language Models offer a new perspective for addressing challenges in structural biology, while relying solely on sequence information. Recent studies have investigated their effectiveness in forecasting shifts in thermodynamic stability caused by single amino acid mutations, a task known for its complexity due to the sparse availability of data, constrained by experimental limitations. To tackle this problem, we introduce two key novelties: leveraging a Protein Language Model that incorporates Multiple Sequence Alignments to capture evolutionary information, and using a recently released mega-scale dataset with rigorous data pre-processing to mitigate overfitting. RESULTS We ensure comprehensive comparisons by fine-tuning various pre-trained models, taking advantage of analyses such as ablation studies and baselines evaluation. Our methodology introduces a stringent policy to reduce the widespread issue of data leakage, rigorously removing sequences from the training set when they exhibit significant similarity with the test set. The MSA Transformer emerges as the most accurate among the models under investigation, given its capability to leverage co-evolution signals encoded in aligned homologous sequences. Moreover, the optimized MSA Transformer outperforms existing methods and exhibits enhanced generalization power, leading to a notable improvement in predicting changes in protein stability resulting from point mutations. AVAILABILITY AND IMPLEMENTATION Code and data at https://github.com/RitAreaSciencePark/PLM4Muts. SUPPLEMENTARY INFORMATION Supplementary Information is available at Bioinformatics online.
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Affiliation(s)
- Francesca Cuturello
- Research and Technology Institute, , AREA Science Park, Trieste 34149, Italy
| | - Marco Celoria
- Research and Technology Institute, , AREA Science Park, Trieste 34149, Italy
- HPC Department, , CINECA National Supercomputing Center, Bologna 40033, Italy
| | - Alessio Ansuini
- Research and Technology Institute, , AREA Science Park, Trieste 34149, Italy
| | - Alberto Cazzaniga
- Research and Technology Institute, , AREA Science Park, Trieste 34149, Italy
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15
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Alhaddad ME, Mohammad A, Dashti KM, John SE, Bahbahani Y, Abu-Farha M, Abubaker J, Thanaraj TA, Bastaki L, Al-Mulla F, Al-Ali M, Ali H. Genetic landscape and clinical outcomes of autosomal recessive polycystic kidney disease in Kuwait. Heliyon 2024; 10:e33898. [PMID: 39071699 PMCID: PMC11282974 DOI: 10.1016/j.heliyon.2024.e33898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 06/27/2024] [Accepted: 06/28/2024] [Indexed: 07/30/2024] Open
Abstract
Background Autosomal recessive polycystic kidney disease (ARPKD), a rare genetic disorder characterized by kidney cysts, shows complex clinical and genetic heterogeneity. This study aimed to explore the genetic landscape of ARPKD in Kuwait and examine the intricate relationship between its genes and clinical presentation to enhance our understanding and contribute towards more efficient management strategies for ARPKD. Methods This study recruited 60 individuals with suspected ARPKD from 44 different families in Kuwait. The participants were of different ethnicities and aged 0-70 years. Additionally, 33 were male, 15 were female, and 12 had indeterminant sex due to congenital anomalies. Comprehensive clinical data were collected. Mutations were identified by next-generation whole exome sequencing and confirmed using Sanger sequencing. Results Of the 60 suspected ARPKD cases, 20 (33.3 %) died within hours of birth or by the end of the first month of life and one (1.7 %) within 12 months of birth. The remaining 39 (65.0 %) cases were alive, at the time of the study, and exhibited diverse clinical features related to ARPKD, including systematic hypertension (5.0 %), pulmonary hypoplasia (11.7 %), dysmorphic features (40.0 %), cardiac problems (8.3 %), cystic liver (5.0 %), Potter syndrome (13.3 %), developmental delay (8.3 %), and enlarged cystic kidneys (100 %). Twelve mutations, including novel truncating mutations, were identified in 31/60 cases (51.7 %) from 17/44 families (38.6 %). Additionally, 8/12 (66.7 %) mutations were in the PKHD1 gene, with the remaining four in different genes: NPHP3, VPS13P, CC2D2A, and ZNF423. Conclusions This study highlights the spectrum of clinical features and genetic mutations of patients with ARPKD in Kuwait. It highlights the necessity for personalized approaches to improve ARPKD diagnosis and treatment, offering crucial insights into managing ARPKD.
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Affiliation(s)
- Mariam E. Alhaddad
- Department of Medical Laboratory Sciences, Faculty of Allied Health Sciences, Health Sciences Center (HSC), Kuwait University, Jabriya, Kuwait
| | - Anwar Mohammad
- Department of Biochemistry and Molecular Biology, Dasman Diabetes Institute (DDI), Dasman, Kuwait
| | - Khadija M. Dashti
- Department of Medical Laboratory Sciences, Faculty of Allied Health Sciences, Health Sciences Center (HSC), Kuwait University, Jabriya, Kuwait
| | - Sumi Elsa John
- Department of Genetics and Bioinformatics, Dasman Diabetes Institute (DDI), Dasman, Kuwait
| | - Yousif Bahbahani
- Division of Nephrology, Mubarak Al-Kabeer Hospital, Ministry of Health, Jabriya, Kuwait
| | - Mohamed Abu-Farha
- Next Generation Sequencing Laboratory, Kuwait Medical Genetics Center, Ministry of Health, Sulaibikhat, Kuwait
| | - Jehad Abubaker
- Next Generation Sequencing Laboratory, Kuwait Medical Genetics Center, Ministry of Health, Sulaibikhat, Kuwait
| | | | - Laila Bastaki
- Next Generation Sequencing Laboratory, Kuwait Medical Genetics Center, Ministry of Health, Sulaibikhat, Kuwait
| | - Fahd Al-Mulla
- Department of Genetics and Bioinformatics, Dasman Diabetes Institute (DDI), Dasman, Kuwait
| | - Mohammad Al-Ali
- Next Generation Sequencing Laboratory, Kuwait Medical Genetics Center, Ministry of Health, Sulaibikhat, Kuwait
| | - Hamad Ali
- Department of Medical Laboratory Sciences, Faculty of Allied Health Sciences, Health Sciences Center (HSC), Kuwait University, Jabriya, Kuwait
- Department of Genetics and Bioinformatics, Dasman Diabetes Institute (DDI), Dasman, Kuwait
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16
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Philipp M, Moth C, Ristic N, Tiemann J, Seufert F, Panfilova A, Meiler J, Hildebrand P, Stein A, Wiegreffe D, Staritzbichler R. MutationExplorer: a webserver for mutation of proteins and 3D visualization of energetic impacts. Nucleic Acids Res 2024; 52:W132-W139. [PMID: 38647044 PMCID: PMC11223880 DOI: 10.1093/nar/gkae301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 03/22/2024] [Accepted: 04/09/2024] [Indexed: 04/25/2024] Open
Abstract
The possible effects of mutations on stability and function of a protein can only be understood in the context of protein 3D structure. The MutationExplorer webserver maps sequence changes onto protein structures and allows users to study variation by inputting sequence changes. As the user enters variants, the 3D model evolves, and estimated changes in energy are highlighted. In addition to a basic per-residue input format, MutationExplorer can also upload an entire replacement sequence. Previously the purview of desktop applications, such an upload can back-mutate PDB structures to wildtype sequence in a single step. Another supported variation source is human single nucelotide polymorphisms (SNPs), genomic coordinates input in VCF format. Structures are flexibly colorable, not only by energetic differences, but also by hydrophobicity, sequence conservation, or other biochemical profiling. Coloring by interface score reveals mutation impacts on binding surfaces. MutationExplorer strives for efficiency in user experience. For example, we have prepared 45 000 PDB depositions for instant retrieval and initial display. All modeling steps are performed by Rosetta. Visualizations leverage MDsrv/Mol*. MutationExplorer is available at: http://proteinformatics.org/mutation_explorer/.
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Affiliation(s)
- Michelle Philipp
- Image and Signal Processing Group, Department of Computer Science, Leipzig University, Augustusplatz 10, 04109 Leipzig, Germany
| | - Christopher W Moth
- Vanderbilt University, Center for Structural Biology, 465 21st Ave South, Nashville, TN 37232, USA
| | - Nikola Ristic
- Institute for Medical Physics and Biophysics, Leipzig University, Härtelstraße 16-18, 04107 Leipzig, Germany
| | - Johanna K S Tiemann
- Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, DK-2200 Copenhagen N., Denmark
- Novozymes A/S, 2800 Kgs. Lyngby, Denmark
| | - Florian Seufert
- Institute for Medical Physics and Biophysics, Leipzig University, Härtelstraße 16-18, 04107 Leipzig, Germany
| | - Aleksandra Panfilova
- Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, DK-2200 Copenhagen N., Denmark
| | - Jens Meiler
- Vanderbilt University, Center for Structural Biology, 465 21st Ave South, Nashville, TN 37232, USA
- Leipzig University Medical School, Institute for Drug Discovery, Brüderstraße 34, 04103 Leipzig, Germany
| | - Peter W Hildebrand
- Institute for Medical Physics and Biophysics, Leipzig University, Härtelstraße 16-18, 04107 Leipzig, Germany
- Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI) Dresden/Leipzig, Leipzig University, Germany
- Berlin Institute of Health, 10178 Berlin, Germany
| | - Amelie Stein
- Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, DK-2200 Copenhagen N., Denmark
| | - Daniel Wiegreffe
- Image and Signal Processing Group, Department of Computer Science, Leipzig University, Augustusplatz 10, 04109 Leipzig, Germany
| | - René Staritzbichler
- Institute for Medical Physics and Biophysics, Leipzig University, Härtelstraße 16-18, 04107 Leipzig, Germany
- University Institute for Laboratory Medicine, Microbiology and Clinical Pathobiochemistry, University Hospital of Bielefeld University, Germany
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Basu S, Ashok G, Ghosh S, Ramaiah S, Veeraraghavan B, Anbarasu A. Cefiderocol susceptibility endows hope in treating carbapenem-resistant Pseudomonas aeruginosa: insights from in vitro and in silico evidence. RSC Adv 2024; 14:21328-21341. [PMID: 38979460 PMCID: PMC11228942 DOI: 10.1039/d4ra04302b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Accepted: 06/28/2024] [Indexed: 07/10/2024] Open
Abstract
'High-risk' hypermutable clones of Pseudomonas aeruginosa disseminating extensive drug-resistance (XDR) have raised global health concerns with escalating mortality rates in immunocompromised patients. Mutations in conventional drug-targets under antibiotic stress necessitate structural understanding to formulate sustainable therapeutics. In the present study, the major β-lactam antibiotic target, penicillin-binding protein-3 (PBP3) with mutations F533L and T91A, were identified in carbapenemase-positive P. aeruginosa isolates (n = 6) using whole genome sequencing. Antibiotic susceptibility tests showed susceptibility to cefiderocol (MIC ≤ 4 μg ml-1) despite pan-β-lactam resistance in the isolates. Both the mutations reduced local intra-chain interactions in PBP3 that marginally increased the local flexibility (∼1%) in the structures to affect antibiotic-interactions. Molecular dynamics simulations confirmed the overall stability of the PBP3 mutants through root-mean square deviations, radius of gyration, solvent-accessibility and density curves, which favored their selection. Docking studies unveiled that the mutations in PBP3 elicited unfavorable stereochemical clashes with the conventional antibiotics thereby increasing their inhibition constants (IC) up to ∼50 fold. It was deciphered that cefiderocol retained its susceptibility despite mutations in PBP3, due to its higher average binding affinity (ΔG: -8.2 ± 0.4 kcal mol-1) towards multiple PBP-targets and lower average binding affinity (ΔG: -6.7 ± 0.7 kcal mol-1) to β-lactamases than the other β-lactam antibiotics. The molecular dynamics simulations and molecular mechanics Poisson Boltzmann surface area calculations further indicated energetically favorable binding for cefiderocol with PBP3 proteins. The study gave structural insight into emerging non-polar amino acid substitutions in PBP3 causing XDR and recommends prioritizing available antibiotics based on multi-target affinities to overcome challenges imposed by target-protein mutations.
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Affiliation(s)
- Soumya Basu
- Medical and Biological Computing Laboratory, School of Biosciences and Technology (SBST), Vellore Institute of Technology (VIT) Vellore India +91-416-2243092 +91-416-2202694
- Department of Biotechnology, NIST University Berhampur-761008 India
| | | | | | | | - Balaji Veeraraghavan
- Department of Clinical Microbiology, Christian Medical College (CMC) Vellore India
| | - Anand Anbarasu
- Medical and Biological Computing Laboratory, School of Biosciences and Technology (SBST), Vellore Institute of Technology (VIT) Vellore India +91-416-2243092 +91-416-2202694
- Department of Biotechnology, SBST, VIT Vellore India
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18
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Wang L, Mizumoto S, Zhang R, Zhang Y, Liu Y, Cheng W, Li X, Dan M, Zhang C, Gao X, Wang J, Han J, Jiao L, Wang Y, Jin Q, Yang L, Li C, Li S, Zhu J, Jiang H, Nishimura G, Yamada T, Yamada S, Cai N, Qiang R, Guo L. Identification of a novel LFNG variant in a Chinese fetus with spondylocostal dysostosis and a systematic review. J Hum Genet 2024; 69:321-327. [PMID: 38565611 DOI: 10.1038/s10038-024-01248-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 03/21/2024] [Accepted: 03/22/2024] [Indexed: 04/04/2024]
Abstract
Spondylocostal dysostosis (SCDO) encompasses a group of skeletal disorders characterized by multiple segmentation defects in the vertebrae and ribs. SCDO has a complex genetic etiology. This study aimed to analyze and identify pathogenic variants in a fetus with SCDO. Copy number variant sequencing and whole exome sequencing were performed on a Chinese fetus with SCDO, followed by bioinformatics analyses, in vitro functional assays and a systematic review on the reported SCDO cases with LFNG pathogenic variants. Ultrasound examinations in utero exhibited that the fetus had vertebral malformation, scoliosis and tethered cord, but rib malformation was not evident. We found a novel homozygous variant (c.1078 C > T, p.R360C) within the last exon of LFNG. The variant was predicted to cause loss of function of LFNG by in silico prediction tools, which was confirmed by an in vitro assay of LFNG enzyme activity. The systematic review listed a total of 20 variants of LFNG in SCDO. The mutational spectrum spans across all exons of LFNG except the last one. This study reported the first Chinese case of LFNG-related SCDO, revealing the prenatal phenotypes and expanding the mutational spectrum of the disorder.
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Affiliation(s)
- Lin Wang
- Center of Medical Genetics, Northwest Women's and Children's Hospital, The Affiliated Northwest Women's and Children's Hospital of Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China
| | - Shuji Mizumoto
- Department of Pathobiochemistry, Faculty of Pharmacy, Meijo University, Nagoya, 468-8503, Japan
| | - Ruixue Zhang
- Center of Medical Genetics, Northwest Women's and Children's Hospital, The Affiliated Northwest Women's and Children's Hospital of Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China
| | - Yuqi Zhang
- Center of Medical Genetics, Northwest Women's and Children's Hospital, The Affiliated Northwest Women's and Children's Hospital of Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China
| | - Yuan Liu
- Center of Medical Genetics, Northwest Women's and Children's Hospital, The Affiliated Northwest Women's and Children's Hospital of Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China
| | - Wenjing Cheng
- Center of Medical Genetics, Northwest Women's and Children's Hospital, The Affiliated Northwest Women's and Children's Hospital of Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China
| | - Xin Li
- Center of Medical Genetics, Northwest Women's and Children's Hospital, The Affiliated Northwest Women's and Children's Hospital of Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China
| | - Min Dan
- Department of Ultrasound, Northwest Women's and Children's Hospital, Xi'an, 710061, China
| | - Chunyan Zhang
- Department of Ultrasound, Northwest Women's and Children's Hospital, Xi'an, 710061, China
| | - Xinru Gao
- Department of Ultrasound, Northwest Women's and Children's Hospital, Xi'an, 710061, China
| | - Juan Wang
- Department of Ultrasound, The Second Affiliated Hospital, Medical School of Xi'an Jiaotong University, Xi'an, 710004, China
| | - Jiaqi Han
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China
| | - Lianying Jiao
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China
| | - Yating Wang
- Center of Medical Genetics, Northwest Women's and Children's Hospital, The Affiliated Northwest Women's and Children's Hospital of Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China
| | - Qiujie Jin
- Center of Medical Genetics, Northwest Women's and Children's Hospital, The Affiliated Northwest Women's and Children's Hospital of Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China
| | - Lihui Yang
- Center of Medical Genetics, Northwest Women's and Children's Hospital, The Affiliated Northwest Women's and Children's Hospital of Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China
| | - Chenxing Li
- Department of Laboratory Animal Science, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China
| | - Shuxian Li
- Center of Medical Genetics, Northwest Women's and Children's Hospital, The Affiliated Northwest Women's and Children's Hospital of Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China
- Department of Laboratory Animal Science, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China
| | - Jinhui Zhu
- Department of Laboratory Animal Science, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China
| | - Hai Jiang
- Department of Pediatric Orthopedics, Northwest Women's and Children's Hospital, Xi'an, 710061, China
| | - Gen Nishimura
- Department of Radiology, Musashino-Yowakai Hospital, Tokyo, 180-0012, Japan
| | - Takahiro Yamada
- Department of Medical Ethics and Medical Genetics, Kyoto University School of Public Health, Kyoto, 606-8501, Japan
| | - Shuhei Yamada
- Department of Pathobiochemistry, Faculty of Pharmacy, Meijo University, Nagoya, 468-8503, Japan
| | - Na Cai
- Center of Medical Genetics, Northwest Women's and Children's Hospital, The Affiliated Northwest Women's and Children's Hospital of Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China
| | - Rong Qiang
- Center of Medical Genetics, Northwest Women's and Children's Hospital, The Affiliated Northwest Women's and Children's Hospital of Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China.
| | - Long Guo
- Center of Medical Genetics, Northwest Women's and Children's Hospital, The Affiliated Northwest Women's and Children's Hospital of Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China.
- Department of Laboratory Animal Science, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China.
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19
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Yadav AK, Murthy TPK, Divyashri G, Prasad N D, Prakash S, Vaishnavi V V, Shukla R, Singh TR. Computational screening of pathogenic missense nsSNPs in heme oxygenase 1 (HMOX1) gene and their structural and functional consequences. J Biomol Struct Dyn 2024; 42:5072-5091. [PMID: 37434323 DOI: 10.1080/07391102.2023.2231553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 06/07/2023] [Indexed: 07/13/2023]
Abstract
Heme Oxygenase 1 (HMOX1) is a cytoprotective enzyme, exhibiting the highest activity in the spleen, catalyzing the heme ring breakdown into products of biological significance- biliverdin, CO, and Fe2+. In vascular cells, HMOX1 possesses strong anti-apoptotic, antioxidant, anti-proliferative, anti-inflammatory, and immunomodulatory actions. The majority of these activities are crucial for the prevention of atherogenesis. Single amino acid substitutions in proteins generated by missense non-synonymous single nucleotide polymorphism (nsSNPs) in the protein-encoding regions of genes are potent enough to cause significant medical challenges due to the alteration of protein structure and function. The current study aimed at characterizing and analyzing high-risk nsSNPs associated with the human HMOX1 gene. Preliminary screening of the total available 288 missense SNPs was performed through the lens of deleteriousness and stability prediction tools. Finally, a total of seven nsSNPs (Y58D, A131T, Y134H, F166S, F167S, R183S and M186V) were found to be most deleterious by all tools that are present at highly conserved positions. Molecular dynamics simulations (MDS) analysis explained the mutational effects on the dynamic action of the wild-type and mutant proteins. In a nutshell, R183S (rs749644285) was identified as a highly detrimental mutation that could significantly render the enzymatic activity of HMOX1. The finding of this computational analysis might help subject the experimental confirmatory analysis to characterize the role of nsSNPs in HMOX1.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Arvind Kumar Yadav
- Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Solan, Himachal Pradesh, India
| | - T P Krishna Murthy
- Department of Biotechnology, Ramaiah Institute of Technology, Bengaluru, Karnataka, India
| | - Gangaraju Divyashri
- Department of Biotechnology, Ramaiah Institute of Technology, Bengaluru, Karnataka, India
| | - Durga Prasad N
- Department of Biotechnology, Ramaiah Institute of Technology, Bengaluru, Karnataka, India
| | - Sriraksha Prakash
- Department of Biotechnology, Ramaiah Institute of Technology, Bengaluru, Karnataka, India
| | - Vijaya Vaishnavi V
- Department of Biotechnology, Ramaiah Institute of Technology, Bengaluru, Karnataka, India
| | - Rohit Shukla
- Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Solan, Himachal Pradesh, India
| | - Tiratha Raj Singh
- Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Solan, Himachal Pradesh, India
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20
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Song J, Lanikova L, Kim SJ, Papadopoulos N, Meznarich J, Constantinescu SN, Parsegov B, Prchal JF, Prchal JT. Novel germline JAK2 R715T mutation causing PV-like erythrocytosis in 3 generations. Amelioration by Ropeg-Interferon. Am J Hematol 2024; 99:1220-1229. [PMID: 38629639 DOI: 10.1002/ajh.27311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 03/22/2024] [Indexed: 06/12/2024]
Abstract
Polycythemia vera (PV) is a clonal disorder arising from the acquired somatic mutations of the JAK2 gene, including JAK2V617F or several others in exon 12. A 38-year-old female had a stroke at age 32 and found to have elevated hemoglobin, normal leukocytes, normal platelets, and tested negative for JAK2V617F and exon 12 mutations. Next generation sequencing revealed a novel mutation: JAK2R715T in the pseudokinase domain (JH2) at 47.5%. Its presence in her nail DNA confirmed a germline origin. Her mother and her son similarly had erythrocytosis and a JAK2R715T mutation. Computer modeling indicated gain-of-function JAK2 activity. The propositus and her mother had polyclonal myelopoiesis, ruling out another somatic mutation-derived clonal hematopoiesis. Some erythroid progenitors of all three generations grew without erythropoietin, a hallmark of PV. The in vitro reporter assay confirmed increased activity of the JAK2R715T kinase. Similar to PV, the JAK2R715T native cells have increased STAT5 phosphorylation, augmented transcripts of prothrombotic and inflammatory genes, and decreased KLF2 transcripts. The propositus was not controlled by hydroxyurea, and JAK2 inhibitors were not tolerated; however, Ropeginterferon-alfa-2b (Ropeg-IFN-α) induced a remission. Ropeg-IFN-α treatment also reduced JAK2 activity in the propositus, her mother and JAK2V617F PV subjects. We report dominantly inherited erythrocytosis secondary to a novel germline JAK2R715T gain-of-function mutation with many but not all comparable molecular features to JAK2V617F PV. We also document a previously unreported inhibitory mechanism of JAK2 signaling by Ropeg-IFN-α.
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Affiliation(s)
- Jihyun Song
- Division of Hematology & Hematologic Malignancies, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Lucie Lanikova
- Department of Cell and Developmental Biology, Institute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic
| | - Soo Jin Kim
- Division of Hematology & Hematologic Malignancies, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Nicolas Papadopoulos
- Ludwig Institute for Cancer Research, Brussels, Belgium
- de Duve Institute, Brussels, Belgium
| | - Jessica Meznarich
- Division of Hematology-Oncology, Department of Pediatrics, University of Utah and Primary Children's Hospital, Salt Lake City, Utah, USA
| | - Stefan N Constantinescu
- Ludwig Institute for Cancer Research, Brussels, Belgium
- de Duve Institute, Brussels, Belgium
- Nuffield Department of Medicine, Oxford University, Oxford, UK
- WELBIO Department, WEL Research Institute, Wavre, Belgium
| | - Brynn Parsegov
- Division of Hematology & Hematologic Malignancies, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | | | - Josef T Prchal
- Division of Hematology & Hematologic Malignancies, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
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21
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Girish A, Sutar S, Murthy TPK, Premanand SA, Garg V, Patil L, Shreyas S, Shukla R, Yadav AK, Singh TR. Comprehensive bioinformatics analysis of structural and functional consequences of deleterious missense mutations in the human QDPR gene. J Biomol Struct Dyn 2024; 42:5485-5501. [PMID: 37382215 DOI: 10.1080/07391102.2023.2226740] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 06/12/2023] [Indexed: 06/30/2023]
Abstract
Quinonoid dihydropteridine reductase (QDPR) is an enzyme that regulates tetrahydrobiopterin (BH4), a cofactor for enzymes involved in neurotransmitter synthesis and blood pressure regulation. Reduced QDPR activity can cause dihydrobiopterin (BH2) accumulation and BH4 depletion, leading to impaired neurotransmitter synthesis, oxidative stress, and increased risk of Parkinson's disease. A total of 10,236 SNPs were identified in the QDPR gene, with 217 being missense SNPs. Over 18 different sequence-based and structure-based tools were employed to assess the protein's biological activity, with several computational tools identifying deleterious SNPs. Additionally, the article provides detailed information about the QDPR gene and protein structure and conservation analysis. The results showed that 10 mutations were harmful and linked to brain and central nervous system disorders, and were predicted to be oncogenic by Dr. Cancer and CScape. Following conservation analysis, the HOPE server was used to analyse the effect of six selected mutations (L14P, V15G, G23S, V54G, M107K, G151S) on the protein structure. Overall, the study provides insights into the biological and functional impact of nsSNPs on QDPR activity and the potential induced pathogenicity and oncogenicity. In the future, research can be conducted to systematically evaluate QDPR gene variation through clinical studies, investigate mutation prevalence across different geographical regions, and validate computational results with conclusive experiments.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Aishwarya Girish
- Department of Biotechnology, M S Ramaiah Institute of Technology, Bengaluru, India
| | - Samruddhi Sutar
- Department of Biotechnology, M S Ramaiah Institute of Technology, Bengaluru, India
| | - T P Krishna Murthy
- Department of Biotechnology, M S Ramaiah Institute of Technology, Bengaluru, India
| | | | - Vrinda Garg
- Department of Biotechnology, M S Ramaiah Institute of Technology, Bengaluru, India
| | - Lavan Patil
- Department of Biotechnology, M S Ramaiah Institute of Technology, Bengaluru, India
| | - S Shreyas
- Department of Biotechnology, M S Ramaiah Institute of Technology, Bengaluru, India
| | - Rohit Shukla
- Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Solan, Himachal Pradesh, India
| | - Arvind Kumar Yadav
- Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Solan, Himachal Pradesh, India
| | - Tiratha Raj Singh
- Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Solan, Himachal Pradesh, India
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22
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Lin YJ, Menon AS, Hu Z, Brenner SE. Variant Impact Predictor database (VIPdb), version 2: Trends from 25 years of genetic variant impact predictors. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.25.600283. [PMID: 38979289 PMCID: PMC11230257 DOI: 10.1101/2024.06.25.600283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Background Variant interpretation is essential for identifying patients' disease-causing genetic variants amongst the millions detected in their genomes. Hundreds of Variant Impact Predictors (VIPs), also known as Variant Effect Predictors (VEPs), have been developed for this purpose, with a variety of methodologies and goals. To facilitate the exploration of available VIP options, we have created the Variant Impact Predictor database (VIPdb). Results The Variant Impact Predictor database (VIPdb) version 2 presents a collection of VIPs developed over the past 25 years, summarizing their characteristics, ClinGen calibrated scores, CAGI assessment results, publication details, access information, and citation patterns. We previously summarized 217 VIPs and their features in VIPdb in 2019. Building upon this foundation, we identified and categorized an additional 186 VIPs, resulting in a total of 403 VIPs in VIPdb version 2. The majority of the VIPs have the capacity to predict the impacts of single nucleotide variants and nonsynonymous variants. More VIPs tailored to predict the impacts of insertions and deletions have been developed since the 2010s. In contrast, relatively few VIPs are dedicated to the prediction of splicing, structural, synonymous, and regulatory variants. The increasing rate of citations to VIPs reflects the ongoing growth in their use, and the evolving trends in citations reveal development in the field and individual methods. Conclusions VIPdb version 2 summarizes 403 VIPs and their features, potentially facilitating VIP exploration for various variant interpretation applications. Availability VIPdb version 2 is available at https://genomeinterpretation.org/vipdb.
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Affiliation(s)
- Yu-Jen Lin
- Department of Molecular and Cell Biology, University of California, Berkeley, California 94720, USA
- Center for Computational Biology, University of California, Berkeley, California 94720, USA
| | - Arul S. Menon
- Department of Molecular and Cell Biology, University of California, Berkeley, California 94720, USA
- College of Computing, Data Science, and Society, University of California, Berkeley, California 94720, USA
| | - Zhiqiang Hu
- Department of Plant and Microbial Biology, University of California, Berkeley, California 94720, USA
- Currently at: Illumina, Foster City, California 94404, USA
| | - Steven E. Brenner
- Department of Molecular and Cell Biology, University of California, Berkeley, California 94720, USA
- Center for Computational Biology, University of California, Berkeley, California 94720, USA
- College of Computing, Data Science, and Society, University of California, Berkeley, California 94720, USA
- Department of Plant and Microbial Biology, University of California, Berkeley, California 94720, USA
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23
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Amri Y, Dabboubi R, Khemiri M, Jebabli E, Hadj Fredj S, Ahmed SB, Jouini Y, Ouali F, Messaoud T. Catalyzing precision: unraveling the diagnostic conundrum of tunisian familial hypophosphatasia case through integrative clinical and molecular approaches. Mol Genet Genomics 2024; 299:64. [PMID: 38909345 DOI: 10.1007/s00438-024-02157-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Accepted: 06/13/2024] [Indexed: 06/24/2024]
Abstract
Familial Hypophosphatasia presents a complex diagnostic challenge due to its wide-ranging clinical manifestations and genetic heterogeneity. This study aims to elucidate the molecular underpinnings of familial Hypophosphatasia within a Tunisian family harboring a rare c.896 T > C mutation in the ALPL gene, offering insights into genotype-phenotype correlations and potential therapeutic avenues. The study employs a comprehensive approach, integrating biochemical examination, genetic analysis, structural modeling, and functional insights to unravel the impact of this rare mutation. Genetic investigation revealed the presence of the p.Leu299Pro mutation within the ALPL gene in affected family members. This mutation is strategically positioned in proximity to both the catalytic site and the metal-binding domain, suggesting potential functional consequences. Homology modeling techniques were employed to predict the 3D structure of TNSALP, providing insights into the structural context of the mutation. Our findings suggest that the mutation may induce conformational changes in the vicinity of the catalytic site and metal-binding domain, potentially affecting substrate recognition and catalytic efficiency. Molecular dynamics simulations were instrumental in elucidating the dynamic behavior of the tissue-nonspecific alkaline phosphatase isozyme (TNSALP) in the presence of the p.Leu299Pro mutation. The simulations indicated alterations in structural flexibility near the mutation site, with potential ramifications for the enzyme's overall stability and function. These dynamic changes may influence the catalytic efficiency of TNSALP, shedding light on the molecular underpinnings of the observed clinical manifestations within the Tunisian family. The clinical presentation of affected individuals highlighted significant phenotypic heterogeneity, underscoring the complex genotype-phenotype correlations in familial Hypophosphatasia. Variability in age of onset, severity of symptoms, and radiographic features was observed, emphasizing the need for a nuanced understanding of the clinical spectrum associated with the p.Leu299Pro mutation. This study advances our understanding of familial Hypophosphatasia by delineating the molecular consequences of the p.Leu299Pro mutation in the ALPL gene. By integrating genetic, structural, and clinical analyses, we provide insights into disease pathogenesis and lay the groundwork for personalized therapeutic strategies tailored to specific genetic profiles. Our findings underscore the importance of comprehensive genetic and clinical evaluation in guiding precision medicine approaches for familial Hypophosphatasia.
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Affiliation(s)
- Yessine Amri
- Biochemistry Laboratory (LR00SP03), Bechir Hamza Children's Hospital, Bab Saadoun Square, 1007, Tunis, Tunisia.
- Higher Institute of Applied Studies in Humanity Le Kef, Department of Educational Sciences, University of Jendouba, Kef, Tunisia.
| | - Rym Dabboubi
- Biochemistry Laboratory (LR00SP03), Bechir Hamza Children's Hospital, Bab Saadoun Square, 1007, Tunis, Tunisia
| | - Monia Khemiri
- Pediatric Service, Bechir Hamza Children's Hospital, Tunis, Tunisia
| | - Elham Jebabli
- Pediatric Service, Bechir Hamza Children's Hospital, Tunis, Tunisia
| | - Sondess Hadj Fredj
- Biochemistry Laboratory (LR00SP03), Bechir Hamza Children's Hospital, Bab Saadoun Square, 1007, Tunis, Tunisia
| | - Sarra Ben Ahmed
- Pediatric Service, Bechir Hamza Children's Hospital, Tunis, Tunisia
| | - Yosr Jouini
- Biochemistry Laboratory (LR00SP03), Bechir Hamza Children's Hospital, Bab Saadoun Square, 1007, Tunis, Tunisia
| | - Faida Ouali
- Biochemistry Laboratory (LR00SP03), Bechir Hamza Children's Hospital, Bab Saadoun Square, 1007, Tunis, Tunisia
| | - Taieb Messaoud
- Biochemistry Laboratory (LR00SP03), Bechir Hamza Children's Hospital, Bab Saadoun Square, 1007, Tunis, Tunisia
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24
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d’Apolito M, Santoro F, Ranaldi A, Ragnatela I, Colia AL, Cannito S, Margaglione A, D’Arienzo G, D’Andrea G, Pellegrino P, Santacroce R, Brunetti ND, Margaglione M. Investigation of a Large Kindred Reveals Cardiac Calsequestrin ( CASQ2) as a Cause of Brugada Syndrome. Genes (Basel) 2024; 15:822. [PMID: 39062601 PMCID: PMC11275647 DOI: 10.3390/genes15070822] [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: 05/31/2024] [Revised: 06/17/2024] [Accepted: 06/19/2024] [Indexed: 07/28/2024] Open
Abstract
BACKGROUND Brugada syndrome (BrS) is an inherited primary channelopathy syndrome associated with the risk of ventricular fibrillation (VF) and sudden cardiac death in a structurally normal heart. AIM OF THE STUDY The aim of this study was to clinically and genetically evaluate a large family with severe autosomal dominant Brugada syndrome. METHODS Clinical and genetic studies were performed. Genetic analysis was conducted with NGS technologies (WES) using the Illumina instrument. According to the standard procedure, variants found by WES were confirmed in all available families by Sanger sequencing. The effect of the variants was studied by using in silico prediction of pathogenicity. RESULTS The proband was a 52-year-old man who was admitted to the emergency department for syncope at rest. WES of the index case identified a heterozygous VUS CASQ2, c.532T>C, p.(Tyr178His). We studied the segregation of the variation in all pedigree members. All the patients were heterozygous for the variation CASQ2 p.(Tyr178His), whereas the remaining healthy individuals in the family were homozygous for the normal allele. Structural analysis of CASQ2 p.(Tyr178His) was performed and revealed an important effect of the missense variation on monomer stability. The CASQ2 Tyr180 residue is located inside the sarcoplasmic reticulum (SR) junctional face membrane interaction domain and is predicted to disrupt filamentation. CONCLUSIONS Our data suggest that the p.Tyr178His substitution is associated with BrS in the family investigated, affecting the stability of the protein, disrupting filamentation at the interdimer interface, and affecting the subsequent formation of tetramers and polymers that contain calcium-binding sites.
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Affiliation(s)
- Maria d’Apolito
- Medical Genetics, Department of Clinical and Experimental Medicine, University of Foggia, 71122 Foggia, Italy; (A.R.); (A.L.C.)
| | - Francesco Santoro
- Cardiology Unit, Department of Medical and Surgery Sciences, University of Foggia, 71122 Foggia, Italy
| | - Alessandra Ranaldi
- Medical Genetics, Department of Clinical and Experimental Medicine, University of Foggia, 71122 Foggia, Italy; (A.R.); (A.L.C.)
| | - Ilaria Ragnatela
- Cardiology Unit, Department of Medical and Surgery Sciences, University of Foggia, 71122 Foggia, Italy
| | - Anna Laura Colia
- Medical Genetics, Department of Clinical and Experimental Medicine, University of Foggia, 71122 Foggia, Italy; (A.R.); (A.L.C.)
| | - Sara Cannito
- Medical Genetics, Department of Clinical and Experimental Medicine, University of Foggia, 71122 Foggia, Italy; (A.R.); (A.L.C.)
| | - Alessandra Margaglione
- Cardiology Unit, Department of Medical and Surgery Sciences, University of Foggia, 71122 Foggia, Italy
| | - Girolamo D’Arienzo
- Cardiology Unit, Department of Medical and Surgery Sciences, University of Foggia, 71122 Foggia, Italy
| | - Giovanna D’Andrea
- Medical Genetics, Department of Clinical and Experimental Medicine, University of Foggia, 71122 Foggia, Italy; (A.R.); (A.L.C.)
| | - PierLuigi Pellegrino
- Cardiology Unit, Department of Medical and Surgery Sciences, University of Foggia, 71122 Foggia, Italy
| | - Rosa Santacroce
- Medical Genetics, Department of Clinical and Experimental Medicine, University of Foggia, 71122 Foggia, Italy; (A.R.); (A.L.C.)
| | - Natale Daniele Brunetti
- Cardiology Unit, Department of Medical and Surgery Sciences, University of Foggia, 71122 Foggia, Italy
| | - Maurizio Margaglione
- Medical Genetics, Department of Clinical and Experimental Medicine, University of Foggia, 71122 Foggia, Italy; (A.R.); (A.L.C.)
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25
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Ruiz-Bayón A, Cara-Rodríguez C, Sarmiento-Mañús R, Muñoz-Viana R, Lozano FM, Ponce MR, Micol JL. Roles of the Arabidopsis KEULE Gene in Postembryonic Development. Int J Mol Sci 2024; 25:6667. [PMID: 38928373 PMCID: PMC11204279 DOI: 10.3390/ijms25126667] [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: 05/19/2024] [Revised: 06/14/2024] [Accepted: 06/16/2024] [Indexed: 06/28/2024] Open
Abstract
Cytokinesis in plant cells begins with the fusion of vesicles that transport cell wall materials to the center of the cell division plane, where the cell plate forms and expands radially until it fuses with the parental cell wall. Vesicle fusion is facilitated by trans-SNARE complexes, with assistance from Sec1/Munc18 (SM) proteins. The SNARE protein KNOLLE and the SM protein KEULE are required for membrane fusion at the cell plate. Due to the crucial function of KEULE, all Arabidopsis (Arabidopsis thaliana) keule mutants identified to date are seedling lethal. Here, we identified the Arabidopsis serrata4-1 (sea4-1) and sea4-2 mutants, which carry recessive, hypomorphic alleles of KEULE. Homozygous sea4-1 and sea4-2 plants are viable and fertile but have smaller rosettes and fewer leaves at bolting than the wild type. Their leaves are serrated, small, and wavy, with a complex venation pattern. The mutant leaves also develop necrotic patches and undergo premature senescence. RNA-seq revealed transcriptome changes likely leading to reduced cell wall integrity and an increase in the unfolded protein response. These findings shed light on the roles of KEULE in postembryonic development, particularly in the patterning of rosette leaves and leaf margins.
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Affiliation(s)
| | | | | | | | | | | | - José Luis Micol
- Instituto de Bioingeniería, Universidad Miguel Hernández, Campus de Elche, 03202 Elche, Spain; (A.R.-B.); (C.C.-R.); (R.S.-M.); (R.M.-V.); (F.M.L.); (M.R.P.)
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26
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Pignatti E, Slone J, Gómez Cano MÁ, Campbell TM, Vu J, Sauter KS, Pandey AV, Martínez-Azorín F, Alonso-Riaño M, Neilson DE, Longo N, du Toit T, Voegel CD, Huang T, Flück CE. FDXR variants cause adrenal insufficiency and atypical sexual development. JCI Insight 2024; 9:e179071. [PMID: 38885337 DOI: 10.1172/jci.insight.179071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 05/31/2024] [Indexed: 06/20/2024] Open
Abstract
Genetic defects affecting steroid biosynthesis cause cortisol deficiency and differences of sex development; among these defects are recessive mutations in the steroidogenic enzymes CYP11A1 and CYP11B, whose function is supported by reducing equivalents donated by ferredoxin reductase (FDXR) and ferredoxin. So far, mutations in the mitochondrial flavoprotein FDXR have been associated with a progressive neuropathic mitochondriopathy named FDXR-related mitochondriopathy (FRM), but cortisol insufficiency has not been documented. However, patients with FRM often experience worsening or demise following stress associated with infections. We investigated 2 female patients with FRM carrying the potentially novel homozygous FDXR mutation p.G437R with ambiguous genitalia at birth and sudden death in the first year of life; they presented with cortisol deficiency and androgen excess compatible with 11-hydroxylase deficiency. In addition, steroidogenic FDXR-variant cell lines reprogrammed from 3 patients with FRM fibroblasts displayed deficient mineralocorticoid and glucocorticoid production. Finally, Fdxr-mutant mice allelic to the severe p.R386W human variant showed reduced progesterone and corticosterone production. Therefore, our comprehensive studies show that human FDXR variants may cause compensated but possibly life-threatening adrenocortical insufficiency in stress by affecting adrenal glucocorticoid and mineralocorticoid synthesis through direct enzyme inhibition, most likely in combination with disturbed mitochondrial redox balance.
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Affiliation(s)
- Emanuele Pignatti
- Division of Pediatric Endocrinology, Diabetology and Metabolism, Department of Pediatrics, Inselspital, Bern University Hospital, and
- Department of Biomedical Research, University of Bern, Bern, Switzerland
| | - Jesse Slone
- Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, USA
| | - María Ángeles Gómez Cano
- Department of Pediatrics, Endocrinology Unit, and
- Unidad de Dismorfología y Genética (UDISGEN), 12 de Octubre University Hospital, Madrid, Spain
| | - Teresa Margaret Campbell
- Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, USA
| | - Jimmy Vu
- Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, USA
| | - Kay-Sara Sauter
- Division of Pediatric Endocrinology, Diabetology and Metabolism, Department of Pediatrics, Inselspital, Bern University Hospital, and
- Department of Biomedical Research, University of Bern, Bern, Switzerland
| | - Amit V Pandey
- Division of Pediatric Endocrinology, Diabetology and Metabolism, Department of Pediatrics, Inselspital, Bern University Hospital, and
- Department of Biomedical Research, University of Bern, Bern, Switzerland
| | - Francisco Martínez-Azorín
- Grupo de Enfermedades Raras, Mitocondriales y Neuromusculares (ERMN), Instituto de Investigación Hospital 12 de Octubre (imas12), E-28041 Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), U723, E-28041 Madrid, Spain
| | | | - Derek E Neilson
- Division of Genetics and Metabolism, Department of Child Health, The University of Arizona College of Medicine, Phoenix, Arizona, USA
| | - Nicola Longo
- Division of Medical Genetics, Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA
| | - Therina du Toit
- Division of Pediatric Endocrinology, Diabetology and Metabolism, Department of Pediatrics, Inselspital, Bern University Hospital, and
- Department of Biomedical Research, University of Bern, Bern, Switzerland
- Department of Nephrology and Hypertension, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Clarissa D Voegel
- Department of Biomedical Research, University of Bern, Bern, Switzerland
- Department of Nephrology and Hypertension, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Taosheng Huang
- Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, USA
| | - Christa E Flück
- Division of Pediatric Endocrinology, Diabetology and Metabolism, Department of Pediatrics, Inselspital, Bern University Hospital, and
- Department of Biomedical Research, University of Bern, Bern, Switzerland
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27
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Ahmad N, Yang ML, Zeb A, Zhou JT, Zubair M, Abbas T, Jiang XH, Zhang YW, Zhang H, Shah W, Shi QH. A novel missense mutation of CCDC34 causes male infertility with oligoasthenoteratozoospermia in a consanguineous Pakistani family. Asian J Androl 2024:00129336-990000000-00197. [PMID: 38856307 DOI: 10.4103/aja202432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 03/24/2024] [Indexed: 06/11/2024] Open
Abstract
ABSTRACT Male infertility is a worldwide health issue, affecting 8%-12% of the global population. Oligoasthenoteratozoospermia (OAT) represents a severe type of male infertility, characterized by reduced sperm count and motility and an increased frequency of sperm with aberrant morphology. Using whole-exome sequencing, this study identified a novel missense mutation (c.848C>A, p.A283E) in the coiled-coil domain-containing 34 gene (CCDC34) in a consanguineous Pakistani family. This rare mutation was predicted to be deleterious and to affect the protein stability. Hematoxylin and eosin staining of spermatozoa from the patient with OAT revealed multiple morphological abnormalities of the flagella and transmission electron microscopy indicated axonemal ultrastructural defects with a lack of outer dynein arms. These findings indicated that CCDC34 plays a role in maintaining the axonemal ultrastructure and the assembly or stability of the outer dynein arms, thus expanding the phenotypic spectrum of CCDC34 missense mutations.
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Affiliation(s)
- Nisar Ahmad
- Institute of Health and Medicine, Hefei Comprehensive National Science Center, Division of Reproduction and Genetics, First Affiliated Hospital of USTC, Hefei National Laboratory for Physical Sciences at Microscale, School of Basic Medical Sciences, Biomedical Sciences and Health Laboratory of Anhui Province, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230027, China
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28
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Silva DB, Trinidad M, Ljungdahl A, Revalde JL, Berguig GY, Wallace W, Patrick CS, Bomba L, Arkin M, Dong S, Estrada K, Hutchinson K, LeBowitz JH, Schlessinger A, Johannesen KM, Møller RS, Giacomini KM, Froelich S, Sanders SJ, Wuster A. Haploinsufficiency underlies the neurodevelopmental consequences of SLC6A1 variants. Am J Hum Genet 2024; 111:1222-1238. [PMID: 38781976 PMCID: PMC11179425 DOI: 10.1016/j.ajhg.2024.04.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 04/26/2024] [Accepted: 04/26/2024] [Indexed: 05/25/2024] Open
Abstract
Heterozygous variants in SLC6A1, encoding the GAT-1 GABA transporter, are associated with seizures, developmental delay, and autism. The majority of affected individuals carry missense variants, many of which are recurrent germline de novo mutations, raising the possibility of gain-of-function or dominant-negative effects. To understand the functional consequences, we performed an in vitro GABA uptake assay for 213 unique variants, including 24 control variants. De novo variants consistently resulted in a decrease in GABA uptake, in keeping with haploinsufficiency underlying all neurodevelopmental phenotypes. Where present, ClinVar pathogenicity reports correlated well with GABA uptake data; the functional data can inform future reports for the remaining 72% of unscored variants. Surface localization was assessed for 86 variants; two-thirds of loss-of-function missense variants prevented GAT-1 from being present on the membrane while GAT-1 was on the surface but with reduced activity for the remaining third. Surprisingly, recurrent de novo missense variants showed moderate loss-of-function effects that reduced GABA uptake with no evidence for dominant-negative or gain-of-function effects. Using linear regression across multiple missense severity scores to extrapolate the functional data to all potential SLC6A1 missense variants, we observe an abundance of GAT-1 residues that are sensitive to substitution. The extent of this missense vulnerability accounts for the clinically observed missense enrichment; overlap with hypermutable CpG sites accounts for the recurrent missense variants. Strategies to increase the expression of the wild-type SLC6A1 allele are likely to be beneficial across neurodevelopmental disorders, though the developmental stage and extent of required rescue remain unknown.
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Affiliation(s)
- Dina Buitrago Silva
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Marena Trinidad
- BioMarin Pharmaceutical Inc., Novato, CA, USA; Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA; Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA
| | - Alicia Ljungdahl
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA; Institute of Developmental and Regenerative Medicine, Department of Paediatrics, University of Oxford, Oxford OX3 7TY, UK
| | - Jezrael L Revalde
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA
| | | | | | - Cory S Patrick
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | | | - Michelle Arkin
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA
| | - Shan Dong
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | | | - Keino Hutchinson
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | | | - Avner Schlessinger
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Katrine M Johannesen
- Department of Regional Health Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Rikke S Møller
- Department of Regional Health Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark; Department of Epilepsy Genetics and Personalized Medicine, Member of ERN Epicare, Danish Epilepsy Centre, Dianalund, Denmark
| | - Kathleen M Giacomini
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
| | | | - Stephan J Sanders
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA; Institute of Developmental and Regenerative Medicine, Department of Paediatrics, University of Oxford, Oxford OX3 7TY, UK.
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29
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Wang M, Yan X, Dong Y, Li X, Gao B. From driver genes to gene families: A computational analysis of oncogenic mutations and ubiquitination anomalies in hepatocellular carcinoma. Comput Biol Chem 2024; 112:108119. [PMID: 38852361 DOI: 10.1016/j.compbiolchem.2024.108119] [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: 03/19/2024] [Revised: 05/22/2024] [Accepted: 06/06/2024] [Indexed: 06/11/2024]
Abstract
Hepatocellular carcinoma (HCC) is a widespread primary liver cancer with a high fatality rate. Despite several genes with oncogenic effects in HCC have been identified, many remain undiscovered. In this study, we conducted a comprehensive computational analysis to explore the involvement of genes within the same families as known driver genes in HCC. Specifically, we expanded the concept beyond single-gene mutations to encompass gene families sharing homologous structures, integrating various omics data to comprehensively understand gene abnormalities in cancer. Our analysis identified 74 domains with an enriched mutation burden, 404 domain mutation hotspots, and 233 dysregulated driver genes. We observed that specific low-frequency somatic mutations may contribute to HCC occurrence, potentially overlooked by single-gene algorithms. Furthermore, we systematically analyzed how abnormalities in the ubiquitinated proteasome system (UPS) impact HCC, finding that abnormal genes in E3, E2, DUB families, and Degron genes often result in HCC by affecting the stability of oncogenic or tumor suppressor proteins. In conclusion, expanding the exploration of driver genes to include gene families with homologous structures emerges as a promising strategy for uncovering additional oncogenic alterations in HCC.
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Affiliation(s)
- Meng Wang
- Faculty of Environment and Life of Beijing University of Technology, Beijing 100124, China
| | - Xinyue Yan
- Faculty of Environment and Life of Beijing University of Technology, Beijing 100124, China
| | - Yanan Dong
- Faculty of Environment and Life of Beijing University of Technology, Beijing 100124, China
| | - Xiaoqin Li
- Faculty of Environment and Life of Beijing University of Technology, Beijing 100124, China.
| | - Bin Gao
- Faculty of Environment and Life of Beijing University of Technology, Beijing 100124, China
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30
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Velloso JPL, de Sá AGC, Pires DEV, Ascher DB. Engineering G protein-coupled receptors for stabilization. Protein Sci 2024; 33:e5000. [PMID: 38747401 PMCID: PMC11094779 DOI: 10.1002/pro.5000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Revised: 03/21/2024] [Accepted: 04/10/2024] [Indexed: 05/19/2024]
Abstract
G protein-coupled receptors (GPCRs) are one of the most important families of targets for drug discovery. One of the limiting steps in the study of GPCRs has been their stability, with significant and time-consuming protein engineering often used to stabilize GPCRs for structural characterization and drug screening. Unfortunately, computational methods developed using globular soluble proteins have translated poorly to the rational engineering of GPCRs. To fill this gap, we propose GPCR-tm, a novel and personalized structurally driven web-based machine learning tool to study the impacts of mutations on GPCR stability. We show that GPCR-tm performs as well as or better than alternative methods, and that it can accurately rank the stability changes of a wide range of mutations occurring in various types of class A GPCRs. GPCR-tm achieved Pearson's correlation coefficients of 0.74 and 0.46 on 10-fold cross-validation and blind test sets, respectively. We observed that the (structural) graph-based signatures were the most important set of features for predicting destabilizing mutations, which points out that these signatures properly describe the changes in the environment where the mutations occur. More specifically, GPCR-tm was able to accurately rank mutations based on their effect on protein stability, guiding their rational stabilization. GPCR-tm is available through a user-friendly web server at https://biosig.lab.uq.edu.au/gpcr_tm/.
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Affiliation(s)
- João Paulo L. Velloso
- School of Chemistry and Molecular Biosciences, The Australian Centre for EcogenomicsThe University of QueenslandBrisbaneQueenslandAustralia
- Computational Biology and Clinical InformaticsBaker Heart and Diabetes InstituteMelbourneVictoriaAustralia
- Baker Department of Cardiometabolic HealthThe University of MelbourneParkvilleVictoriaAustralia
| | - Alex G. C. de Sá
- School of Chemistry and Molecular Biosciences, The Australian Centre for EcogenomicsThe University of QueenslandBrisbaneQueenslandAustralia
- Computational Biology and Clinical InformaticsBaker Heart and Diabetes InstituteMelbourneVictoriaAustralia
- Baker Department of Cardiometabolic HealthThe University of MelbourneParkvilleVictoriaAustralia
| | - Douglas E. V. Pires
- School of Computing and Information SystemsThe University of MelbourneParkvilleVictoriaAustralia
| | - David B. Ascher
- School of Chemistry and Molecular Biosciences, The Australian Centre for EcogenomicsThe University of QueenslandBrisbaneQueenslandAustralia
- Computational Biology and Clinical InformaticsBaker Heart and Diabetes InstituteMelbourneVictoriaAustralia
- Baker Department of Cardiometabolic HealthThe University of MelbourneParkvilleVictoriaAustralia
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31
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Suyash S, Jha A, Maitra P, Punia P, Mishra A. Differentiating stable and unstable protein using convolution neural network and molecular dynamics simulations. Comput Biol Chem 2024; 110:108081. [PMID: 38677012 DOI: 10.1016/j.compbiolchem.2024.108081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 03/17/2024] [Accepted: 04/17/2024] [Indexed: 04/29/2024]
Abstract
Protein stability is a critical aspect of molecular biology and biochemistry, hinges on an intricate balance of thermodynamic and structural factors. Determining protein stability is crucial for understanding and manipulating biological machineries, as it directly correlated with the protein function. Thus, this study delves into the intricacies of protein stability, highlighting its dependence on various factors, including thermodynamics, thermal conditions, and structural properties. Moreover, a notable focus is placed on the free energy change of unfolding (ΔGunfolding), change in heat capacity (ΔCp) with protein structural transition, melting temperature (Tm) and number of disulfide bonds, which are critical parameters in understanding protein stability. In this study, a machine learning (ML) predictive model was developed to estimate these four parameters using the primary sequence of the protein. The shortfall of available tools for protein stability prediction based on multiple parameters propelled the completion of this study. Convolutional Neural Network (CNN) with multiple layers was adopted to develop a more reliable ML model. Individual predictive models were prepared for each property, and all the prepared models showed results with high accuracy. The R2 (coefficient of determination) of these models were 0.79, 0.78, 0.92 and 0.92, respectively, for ΔG, ΔCp, Tm and disulfide bonds. A case study on stability analysis of two homologous proteins was presented to validate the results predicted through the developed model. The case study included in silico analysis of protein stability using molecular docking and molecular dynamic simulations. This validation study assured the accuracy of each model in predicting the stability associated properties. The alignment of physics-based principles with ML models has provided an opportunity to develop a fast machine learning solution to replace the computationally demanding physics-based calculations used to determine protein stability. Furthermore, this work provided valuable insights into the impact of mutation on protein stability, which has implications for the field of protein engineering. The source codes are available at https://github.com/Growdeatechnology.
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Affiliation(s)
| | - Akshat Jha
- Growdea Technologies Pvt. Ltd., Gurugram, Haryana 122004, India
| | - Priyasha Maitra
- Growdea Technologies Pvt. Ltd., Gurugram, Haryana 122004, India
| | - Parveen Punia
- Pt. Neki Ram Sharma Government College, Rohtak, Haryana 124001, India
| | - Avinash Mishra
- Growdea Technologies Pvt. Ltd., Gurugram, Haryana 122004, India.
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32
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Tritto V, Bettinaglio P, Mangano E, Cesaretti C, Marasca F, Castronovo C, Bordoni R, Battaglia C, Saletti V, Ranzani V, Bodega B, Eoli M, Natacci F, Riva P. Genetic/epigenetic effects in NF1 microdeletion syndrome: beyond the haploinsufficiency, looking at the contribution of not deleted genes. Hum Genet 2024; 143:775-795. [PMID: 38874808 PMCID: PMC11186880 DOI: 10.1007/s00439-024-02683-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Accepted: 06/03/2024] [Indexed: 06/15/2024]
Abstract
NF1 microdeletion syndrome, accounting for 5-11% of NF1 patients, is caused by a deletion in the NF1 region and it is generally characterized by a severe phenotype. Although 70% of NF1 microdeletion patients presents the same 1.4 Mb type-I deletion, some patients may show additional clinical features. Therefore, the contribution of several pathogenic mechanisms, besides haploinsufficiency of some genes within the deletion interval, is expected and needs to be defined. We investigated an altered expression of deletion flanking genes by qPCR in patients with type-1 NF1 deletion, compared to healthy donors, possibly contributing to the clinical traits of NF1 microdeletion syndrome. In addition, the 1.4-Mb deletion leads to changes in the 3D chromatin structure in the 17q11.2 region. Specifically, this deletion alters DNA-DNA interactions in the regions flanking the breakpoints, as demonstrated by our 4C-seq analysis. This alteration likely causes position effect on the expression of deletion flanking genes.Interestingly, 4C-seq analysis revealed that in microdeletion patients, an interaction was established between the RHOT1 promoter and the SLC6A4 gene, which showed increased expression. We performed NGS on putative modifier genes, and identified two "likely pathogenic" rare variants in RAS pathway, possibly contributing to incidental phenotypic features.This study provides new insights into understanding the pathogenesis of NF1 microdeletion syndrome and suggests a novel pathomechanism that contributes to the expression phenotype in addition to haploinsufficiency of genes located within the deletion.This is a pivotal approach that can be applied to unravel microdeletion syndromes, improving precision medicine, prognosis and patients' follow-up.
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Affiliation(s)
- Viviana Tritto
- Department of Medical Biotechnology and Translational Medicine (BIOMETRA), University of Milan, Segrate, Milan, Italy
| | - Paola Bettinaglio
- Department of Medical Biotechnology and Translational Medicine (BIOMETRA), University of Milan, Segrate, Milan, Italy
| | - Eleonora Mangano
- Institute for Biomedical Technologies (ITB), National Research Council (CNR), Segrate (Milan), Italy
| | - Claudia Cesaretti
- Medical Genetics Unit, Woman-Child-Newborn Department, Fondazione IRCCS Ca' Granda-Ospedale Maggiore Policlinico, Milan, Italy
| | - Federica Marasca
- Genome Biology Unit, Istituto Nazionale di Genetica Molecolare (INGM) "Romeo ed Enrica Invernizzi", Milan, Italy
| | - Chiara Castronovo
- Institute for Biomedical Technologies (ITB), National Research Council (CNR), Segrate (Milan), Italy
| | - Roberta Bordoni
- Institute for Biomedical Technologies (ITB), National Research Council (CNR), Segrate (Milan), Italy
| | - Cristina Battaglia
- Department of Medical Biotechnology and Translational Medicine (BIOMETRA), University of Milan, Segrate, Milan, Italy
- Institute for Biomedical Technologies (ITB), National Research Council (CNR), Segrate (Milan), Italy
| | - Veronica Saletti
- Developmental Neurology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Valeria Ranzani
- Genome Biology Unit, Istituto Nazionale di Genetica Molecolare (INGM) "Romeo ed Enrica Invernizzi", Milan, Italy
| | - Beatrice Bodega
- Genome Biology Unit, Istituto Nazionale di Genetica Molecolare (INGM) "Romeo ed Enrica Invernizzi", Milan, Italy
- Department of Biosciences (DBS), University of Milan, Milan, Italy
| | - Marica Eoli
- Molecular Neuroncology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Federica Natacci
- Medical Genetics Unit, Woman-Child-Newborn Department, Fondazione IRCCS Ca' Granda-Ospedale Maggiore Policlinico, Milan, Italy.
| | - Paola Riva
- Department of Medical Biotechnology and Translational Medicine (BIOMETRA), University of Milan, Segrate, Milan, Italy.
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33
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Shankar SS, Banarjee R, Jathar SM, Rajesh S, Ramasamy S, Kulkarni MJ. De novo structure prediction of meteorin and meteorin-like protein for identification of domains, functional receptor binding regions, and their high-risk missense variants. J Biomol Struct Dyn 2024; 42:4522-4536. [PMID: 37288801 DOI: 10.1080/07391102.2023.2220804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 05/29/2023] [Indexed: 06/09/2023]
Abstract
Meteorin (Metrn) and Meteorin-like (Metrnl) are homologous secreted proteins involved in neural development and metabolic regulation. In this study, we have performed de novo structure prediction and analysis of both Metrn and Metrnl using Alphafold2 (AF2) and RoseTTAfold (RF). Based on the domain and structural homology analysis of the predicted structures, we have identified that these proteins are composed of two functional domains, a CUB domain and an NTR domain, connected by a hinge/loop region. We have identified the receptor binding regions of Metrn and Metrnl using the machine-learning tools ScanNet and Masif. These were further validated by docking Metrnl with its reported KIT receptor, thus establishing the role of each domain in the receptor interaction. Also, we have studied the effect of non-synonymous SNPs on the structure and function of these proteins using an array of bioinformatics tools and selected 16 missense variants in Metrn and 10 in Metrnl that can affect the protein stability. This is the first study to comprehensively characterize the functional domains of Metrn and Metrnl at their structural level and identify the functional domains, and protein binding regions. This study also highlights the interaction mechanism of the KIT receptor and Metrnl. The predicted deleterious SNPs will allow further understanding of the role of these variants in modulating the plasma levels of these proteins in disease conditions such as diabetes.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- S Shiva Shankar
- Proteomics Facility, Division of Biochemical Sciences, CSIR-National Chemical Laboratory, Pune, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Reema Banarjee
- Proteomics Facility, Division of Biochemical Sciences, CSIR-National Chemical Laboratory, Pune, India
| | - Swaraj M Jathar
- Proteomics Facility, Division of Biochemical Sciences, CSIR-National Chemical Laboratory, Pune, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - S Rajesh
- Proteomics Facility, Division of Biochemical Sciences, CSIR-National Chemical Laboratory, Pune, India
| | - Sureshkumar Ramasamy
- Proteomics Facility, Division of Biochemical Sciences, CSIR-National Chemical Laboratory, Pune, India
| | - Mahesh J Kulkarni
- Proteomics Facility, Division of Biochemical Sciences, CSIR-National Chemical Laboratory, Pune, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
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34
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Qiu Y, Huang T, Cai YD. Review of predicting protein stability changes upon variations. Proteomics 2024; 24:e2300371. [PMID: 38643379 DOI: 10.1002/pmic.202300371] [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: 01/30/2024] [Revised: 04/07/2024] [Accepted: 04/08/2024] [Indexed: 04/22/2024]
Abstract
Forecasting alterations in protein stability caused by variations holds immense importance. Improving the thermal stability of proteins is important for biomedical and industrial applications. This review discusses the latest methods for predicting the effects of mutations on protein stability, databases containing protein mutations and thermodynamic parameters, and experimental techniques for efficiently assessing protein stability in high-throughput settings. Various publicly available databases for protein stability prediction are introduced. Furthermore, state-of-the-art computational approaches for anticipating protein stability changes due to variants are reviewed. Each method's types of features, base algorithm, and prediction results are also detailed. Additionally, some experimental approaches for verifying the prediction results of computational methods are introduced. Finally, the review summarizes the progress and challenges of protein stability prediction and discusses potential models for future research directions.
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Affiliation(s)
- Yiling Qiu
- Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- School of Mathematics and Statistics, Guangdong University of Technology, Guangzhou, China
| | - Tao Huang
- Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yu-Dong Cai
- School of Life Sciences, Shanghai University, Shanghai, China
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35
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Cavestro C, Morra F, Legati A, D'Amato M, Nasca A, Iuso A, Lubarr N, Morrison JL, Wheeler PG, Serra‐Juhé C, Rodríguez‐Santiago B, Turón‐Viñas E, Prouteau C, Barth M, Hayflick SJ, Ghezzi D, Tiranti V, Di Meo I. Emerging variants, unique phenotypes, and transcriptomic signatures: an integrated study of COASY-associated diseases. Ann Clin Transl Neurol 2024; 11:1615-1629. [PMID: 38750253 PMCID: PMC11187879 DOI: 10.1002/acn3.52079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Accepted: 04/17/2024] [Indexed: 06/20/2024] Open
Abstract
OBJECTIVE COASY, the gene encoding the bifunctional enzyme CoA synthase, which catalyzes the last two reactions of cellular de novo coenzyme A (CoA) biosynthesis, has been linked to two exceedingly rare autosomal recessive disorders, such as COASY protein-associated neurodegeneration (CoPAN), a form of neurodegeneration with brain iron accumulation (NBIA), and pontocerebellar hypoplasia type 12 (PCH12). We aimed to expand the phenotypic spectrum and gain insights into the pathogenesis of COASY-related disorders. METHODS Patients were identified through targeted or exome sequencing. To unravel the molecular mechanisms of disease, RNA sequencing, bioenergetic analysis, and quantification of critical proteins were performed on fibroblasts. RESULTS We identified five new individuals harboring novel COASY variants. While one case exhibited classical CoPAN features, the others displayed atypical symptoms such as deafness, language and autism spectrum disorders, brain atrophy, and microcephaly. All patients experienced epilepsy, highlighting its potential frequency in COASY-related disorders. Fibroblast transcriptomic profiling unveiled dysregulated expression in genes associated with mitochondrial respiration, responses to oxidative stress, transmembrane transport, various cellular signaling pathways, and protein translation, modification, and trafficking. Bioenergetic analysis revealed impaired mitochondrial oxygen consumption in COASY fibroblasts. Despite comparable total CoA levels to control cells, the amounts of mitochondrial 4'-phosphopantetheinylated proteins were significantly reduced in COASY patients. INTERPRETATION These results not only extend the clinical phenotype associated with COASY variants but also suggest a continuum between CoPAN and PCH12. The intricate interplay of altered cellular processes and signaling pathways provides valuable insights for further research into the pathogenesis of COASY-associated diseases.
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Affiliation(s)
- Chiara Cavestro
- Unit of Medical Genetics and NeurogeneticsFondazione IRCCS Istituto Neurologico Carlo BestaMilanItaly
| | - Francesca Morra
- Unit of Medical Genetics and NeurogeneticsFondazione IRCCS Istituto Neurologico Carlo BestaMilanItaly
| | - Andrea Legati
- Unit of Medical Genetics and NeurogeneticsFondazione IRCCS Istituto Neurologico Carlo BestaMilanItaly
| | - Marco D'Amato
- Unit of Medical Genetics and NeurogeneticsFondazione IRCCS Istituto Neurologico Carlo BestaMilanItaly
| | - Alessia Nasca
- Unit of Medical Genetics and NeurogeneticsFondazione IRCCS Istituto Neurologico Carlo BestaMilanItaly
| | - Arcangela Iuso
- Institute of Human Genetics, School of MedicineTechnical University of MunichMunichGermany
- Institute of NeurogenomicsHelmholtz Zentrum MünchenNeuherbergGermany
| | - Naomi Lubarr
- Department of NeurologyIcahn School of Medicine at Mount Sinai, Mount Sinai Beth IsraelNew YorkNew YorkUSA
| | | | | | - Clara Serra‐Juhé
- Genetics DepartmentHospital de la Santa Creu i Sant PauBarcelonaSpain
| | - Benjamín Rodríguez‐Santiago
- Genetics DepartmentHospital de la Santa Creu i Sant PauBarcelonaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER)MadridSpain
- Genomic Instability Syndromes and DNA Repair Group and Join Research Unit on Genomic Medicine UAB‐Sant Pau Biomedical Research InstituteHospital de la Santa Creu i Sant PauBarcelonaSpain
| | - Eulalia Turón‐Viñas
- Child Neurology Unit, Pediatrics ServiceHospital de la Santa Creu i Sant PauBarcelonaSpain
| | | | - Magalie Barth
- Department of GeneticsUniversity Hospital of AngersAngersFrance
| | - Susan J. Hayflick
- Department of Molecular and Medical GeneticsOregon Health & Science UniversityPortlandOregonUSA
- Department of PediatricsOregon Health & Science UniversityPortlandOregonUSA
- Department of NeurologyOregon Health & Science UniversityPortlandOregonUSA
| | - Daniele Ghezzi
- Unit of Medical Genetics and NeurogeneticsFondazione IRCCS Istituto Neurologico Carlo BestaMilanItaly
- Department of Pathophysiology and TransplantationUniversity of MilanMilanItaly
| | - Valeria Tiranti
- Unit of Medical Genetics and NeurogeneticsFondazione IRCCS Istituto Neurologico Carlo BestaMilanItaly
| | - Ivano Di Meo
- Unit of Medical Genetics and NeurogeneticsFondazione IRCCS Istituto Neurologico Carlo BestaMilanItaly
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D'Apolito M, Santacroce R, Vazquez DO, Cordisco G, Fantini CA, D'Andrea G, Leccese A, Colia AL, Martinez P, Zanichelli A, Josviack D, Margaglione M. DAB2IP associates with hereditary angioedema: Insights into the role of VEGF signaling in HAE pathophysiology. J Allergy Clin Immunol 2024:S0091-6749(24)00558-X. [PMID: 38823490 DOI: 10.1016/j.jaci.2024.05.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2024] [Revised: 05/09/2024] [Accepted: 05/24/2024] [Indexed: 06/03/2024]
Abstract
BACKGROUND In the recent years, there was an important improvement in the understanding of the pathogenesis of hereditary angioedema (HAE). Notwithstanding, in a large portion of patients with unknown mutation (HAE-UNK) the genetic cause remains to be identified. OBJECTIVES To identify new genetic targets associated with HAE, a large Argentine family with HAE-UNK spanning 3 generations was studied. METHODS Whole exome sequencing was performed on affected family members to identify potential genetic variants associated with HAE-UNK. In silico analyses and experimental studies were applied to assess the role of the identified gene variant. RESULTS A missense variant (p.D239N) in DAB2IP was identified. The variant occurred in the C2-domain, the region interacting with vascular endothelial growth factor receptor 2 (VEGFR2). It was found to be rare, and predicted to have a detrimental effect on the functionality of DAB2IP. Protein structure modeling predicted changes in the mutant p.D239N protein structure, impacting protein stability. The p.D239N variant affected the subcellular localization of VEGFR2. Cells transfected with the DAB2IP-239N transcript exhibited an intracellular distribution, and VEGFR2 remained associated with the cell membrane. The altered localization pattern indicated reduced colocalization of the mutant protein with VEGFR2, suggesting a diminished ability of VEGFR2 binding. CONCLUSIONS The study identified a novel missense variant (p.D239N) in DAB2IP in a family with HAE-UNK and highlighted the role of dysregulated VEGF-mediated signaling in altered endothelial permeability. DAB2IP loss-of-function pathogenic variants lead to the impairment of the endothelial VEGF/VEGFR2 ligand system and represent a new pathophysiologic cause of HAE-UNK.
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Affiliation(s)
- Maria D'Apolito
- Medical Genetics, Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy
| | - Rosa Santacroce
- Medical Genetics, Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy
| | | | - Giorgia Cordisco
- Medical Genetics, Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy
| | | | - Giovanna D'Andrea
- Medical Genetics, Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy
| | - Angelica Leccese
- Medical Genetics, Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy
| | - Anna Laura Colia
- Medical Genetics, Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy
| | - Pablo Martinez
- Universidad Nacional del Sur, Argentina Hospital Penna de Bahia Blanca, Bahia Blanca, Argentina
| | - Andrea Zanichelli
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy; Operative Unit of Medicine, Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Donato, San Donato Milanese, Milan, Italy
| | - Darío Josviack
- Instituto de Medicina Respiratoria, Rafaela, Santa Fe, Argentina
| | - Maurizio Margaglione
- Medical Genetics, Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy.
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EL Haddoumi G, Mansouri M, Kourou J, Belyamani L, Ibrahimi A, Kandoussi I. Targeting decaprenylphosphoryl-β-D-ribose 2'-epimerase for Innovative Drug Development Against Mycobacterium Tuberculosis Drug-Resistant Strains. Bioinform Biol Insights 2024; 18:11779322241257039. [PMID: 38812740 PMCID: PMC11135120 DOI: 10.1177/11779322241257039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 05/07/2024] [Indexed: 05/31/2024] Open
Abstract
Tuberculosis (TB) remains a global health challenge with the emergence of drug-resistant Mycobacterium tuberculosis variants, necessitating innovative drug molecules. One potential target is the cell wall synthesis enzyme decaprenylphosphoryl-β-D-ribose 2'-epimerase (DprE1), crucial for virulence and survival. This study employed virtual screening of 111 Protein Data Bank (PDB) database molecules known for their inhibitory biological activity against DprE1 with known IC50 values. Six compounds, PubChem ID: 390820, 86287492, 155294899, 155522922, 162651615, and 162665075, exhibited promising attributes as drug candidates and validated against clinical trial inhibitors BTZ043, TBA-7371, PBTZ169, and OPC-167832. Concurrently, this research focused on DprE1 mutation effects using molecular dynamic simulations. Among the 10 mutations tested, C387N significantly influenced protein behavior, leading to structural alterations observed through root-mean-square deviation (RMSD), root-mean-square fluctuation (RMSF), radius of gyration (Rg), and solvent-accessible surface area (SASA) analysis. Ligand 2 (ID: 390820) emerged as a promising candidate through ligand-based pharmacophore analysis, displaying enhanced binding compared with reference inhibitors. Molecular dynamic simulations highlighted ligand 2's interaction with the C387N mutation, reducing fluctuations, augmenting hydrogen bonding, and influencing solvent accessibility. These collective findings emphasize ligand 2's efficacy, particularly against severe mutations, in enhancing protein-ligand complex stability. Integrated computational and pharmacophore methodologies offer valuable insights into drug candidates and their interactions within intricate protein environments. This research lays a strategic foundation for targeted interventions against drug-resistant TB, highlighting ligand 2's potential for advanced drug development strategies.
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Affiliation(s)
- Ghyzlane EL Haddoumi
- Biotechnology Lab (MedBiotech), Bioinova Research Center, Rabat Medical and Pharmacy School, Mohammed V University in Rabat, Rabat, Morocco
| | - Mariam Mansouri
- Biotechnology Lab (MedBiotech), Bioinova Research Center, Rabat Medical and Pharmacy School, Mohammed V University in Rabat, Rabat, Morocco
| | - Jouhaina Kourou
- Biotechnology Lab (MedBiotech), Bioinova Research Center, Rabat Medical and Pharmacy School, Mohammed V University in Rabat, Rabat, Morocco
| | - Lahcen Belyamani
- Mohammed VI Center For Research and Innovation (CM6), Rabat, Morocco
- Mohammed VI University of Health Sciences (UM6SS), Casablanca, Morocco
- Emergency Department, Military Hospital Mohammed V, Rabat, Morocco
| | - Azeddine Ibrahimi
- Biotechnology Lab (MedBiotech), Bioinova Research Center, Rabat Medical and Pharmacy School, Mohammed V University in Rabat, Rabat, Morocco
| | - Ilham Kandoussi
- Biotechnology Lab (MedBiotech), Bioinova Research Center, Rabat Medical and Pharmacy School, Mohammed V University in Rabat, Rabat, Morocco
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38
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Manyumwa CV, Zhang C, Jers C, Mijakovic I. Alpha Carbonic Anhydrase from Nitratiruptor tergarcus Engineered for Increased Activity and Thermostability. Int J Mol Sci 2024; 25:5853. [PMID: 38892041 PMCID: PMC11173315 DOI: 10.3390/ijms25115853] [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: 04/15/2024] [Revised: 05/20/2024] [Accepted: 05/24/2024] [Indexed: 06/21/2024] Open
Abstract
The development of carbon capture and storage technologies has resulted in a rising interest in the use of carbonic anhydrases (CAs) for CO2 fixation at elevated temperatures. In this study, we chose to rationally engineer the α-CA (NtCA) from the thermophilic bacterium Nitratiruptor tergarcus, which has been previously suggested to be thermostable by in silico studies. Using a combination of analyses with the DEEPDDG software and available structural knowledge, we selected residues in three regions, namely, the catalytic pocket, the dimeric interface and the surface, in order to increase thermostability and CO2 hydration activity. A total of 13 specific mutations, affecting seven amino acids, were assessed. Single, double and quadruple mutants were produced in Escherichia coli and analyzed. The best-performing mutations that led to improvements in both activity and stability were D168K, a surface mutation, and R210L, a mutation in the dimeric interface. Apart from these, most mutants showed improved thermostability, with mutants R210K and N88K_R210L showing substantial improvements in activity, up to 11-fold. Molecular dynamics simulations, focusing particularly on residue fluctuations, conformational changes and hydrogen bond analysis, elucidated the structural changes imposed by the mutations. Successful engineering of NtCA provided valuable lessons for further engineering of α-CAs.
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Affiliation(s)
- Colleen Varaidzo Manyumwa
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800 Kongens Lyngby, Denmark; (C.V.M.); (C.Z.); (C.J.)
| | - Chenxi Zhang
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800 Kongens Lyngby, Denmark; (C.V.M.); (C.Z.); (C.J.)
| | - Carsten Jers
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800 Kongens Lyngby, Denmark; (C.V.M.); (C.Z.); (C.J.)
| | - Ivan Mijakovic
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800 Kongens Lyngby, Denmark; (C.V.M.); (C.Z.); (C.J.)
- Department of Life Sciences, Chalmers University of Technology, SE-41296 Gothenburg, Sweden
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Calcagnile M, Damiano F, Lobreglio G, Siculella L, Bozzetti MP, Forgez P, Malgoyre A, Libert N, Bucci C, Alifano M, Alifano P. In silico evidence that substitution of glycine for valine (p.G8V) in a common variant of TMPRSS2 isoform 1 increases accessibility to an endocytic signal: Implication for SARS-cov-2 entry into host cells and susceptibility to COVID-19. Biochimie 2024; 225:89-98. [PMID: 38754620 DOI: 10.1016/j.biochi.2024.05.004] [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: 02/16/2024] [Revised: 05/01/2024] [Accepted: 05/03/2024] [Indexed: 05/18/2024]
Abstract
The TMPRSS2 protease plays a key role in the entry of the SARS-CoV-2 into cells. The TMPRSS2 gene is highly polymorphic in humans, and some polymorphisms may affect the susceptibility to COVID-19 or disease severity. rs75603675 (c.23G > T) is a missense variant that causes the replacement of glycine with valine at position 8 (p.G8V) in the TMPRSS2 isoform 1. According to GnomAD v4.0.0 database, the allele frequency of the rs75603675 on a global scale is 38.10 %, and range from 0.92 % in East Asian to 40.77 % in non-Finnish European (NFE) population. We analyzed the occurrence of the rs75603675 in two cohorts of patients, the first with severe/critical COVID-19 enrolled in a French hospital (42 patients), and the second with predominantly asymptomatic/pauci-symptomatic/mild COVID-19 enrolled in an Italian hospital (69 patients). We found that the TMPRSS2-c.23T minor allele frequency was similar in the two cohorts, 46.43 % and 46.38 %, respectively, and higher than the frequency in the NFE population (40.77 %). Chi-square test provided significant results (p < 0.05) when the genotype data (TMPRSS2-c.23T/c.23T homozygotes + TMPRSS2-c.23G/c.23T heterozygotes vs. TMPRSS2-c.23G/c.23G homozygotes) of the two patient groups were pooled and compared to the expected data for the NFE population, suggesting a possible pathogenetic mechanism of the p.G8V substitution. We explored the possible effects of the p.G8V substitution and found that the N-terminal region of the TMPRSS2 isoform 1 contains a signal for clathrin/AP-2-dependent endocytosis. In silico analysis predicted that the p.G8V substitution may increase the accessibility to the endocytic signal, which could help SARS-CoV-2 enter cells.
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Affiliation(s)
- Matteo Calcagnile
- Department of Biological and Environmental Sciences and Technologies, University of Salento, Lecce, Italy
| | - Fabrizio Damiano
- Department of Biological and Environmental Sciences and Technologies, University of Salento, Lecce, Italy
| | - Giambattista Lobreglio
- Clinical Pathology and Microbiology Unit, Vito Fazzi General Hospital, 73100, Lecce, Italy
| | - Luisa Siculella
- Department of Experimental Medicine, University of Salento, Lecce, Italy
| | - Maria Pia Bozzetti
- Department of Biological and Environmental Sciences and Technologies, University of Salento, Lecce, Italy
| | - Patricia Forgez
- INSERM UMR-S 1124 T3S, Eq 5 CELLULAR HOMEOSTASIS, CANCER and THERAPY, University of Paris, Campus Saint Germain, Paris, France
| | - Alexandra Malgoyre
- Institut de Recherche Biomedicale des Armées, French Armed Forces Health Services, Brétigny sur Orge, France; Ecole Du Val de Grâce, French Armed Forces Health Service, France; Laboratoire de Biologie de L'Exercice pour La Performance et La Santé, Université Evry-Paris-Saclay, Evry, France
| | - Nicolas Libert
- Ecole Du Val de Grâce, French Armed Forces Health Service, France; Hopital D'Instruction des Armées, French Armed Forces Health Services, Clamart, France
| | - Cecilia Bucci
- Department of Experimental Medicine, University of Salento, Lecce, Italy
| | - Marco Alifano
- Thoracic Surgery Department, Cochin Hospital, APHP Centre, University of Paris, France; INSERM U1138 Team «Cancer, Immune Control, and Escape», Cordeliers Research Center, University of Paris, France.
| | - Pietro Alifano
- Department of Experimental Medicine, University of Salento, Lecce, Italy.
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40
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Wang Y, Liu X, Zuo X, Wang C, Zhang Z, Zhang H, Zeng T, Chen S, Liu M, Chen H, Song Q, Li Q, Yang C, Le Y, Xing J, Zhang H, An J, Jia W, Kang L, Zhang H, Xie H, Ye J, Wu T, He F, Zhang X, Li Y, Zhou G. NRDE2 deficiency impairs homologous recombination repair and sensitizes hepatocellular carcinoma to PARP inhibitors. CELL GENOMICS 2024; 4:100550. [PMID: 38697125 PMCID: PMC11099347 DOI: 10.1016/j.xgen.2024.100550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Revised: 02/26/2024] [Accepted: 04/05/2024] [Indexed: 05/04/2024]
Abstract
To identify novel susceptibility genes for hepatocellular carcinoma (HCC), we performed a rare-variant association study in Chinese populations consisting of 2,750 cases and 4,153 controls. We identified four HCC-associated genes, including NRDE2, RANBP17, RTEL1, and STEAP3. Using NRDE2 (index rs199890497 [p.N377I], p = 1.19 × 10-9) as an exemplary candidate, we demonstrated that it promotes homologous recombination (HR) repair and suppresses HCC. Mechanistically, NRDE2 binds to the subunits of casein kinase 2 (CK2) and facilitates the assembly and activity of the CK2 holoenzyme. This NRDE2-mediated enhancement of CK2 activity increases the phosphorylation of MDC1 and then facilitates the HR repair. These functions are eliminated almost completely by the NRDE2-p.N377I variant, which sensitizes the HCC cells to poly(ADP-ribose) polymerase (PARP) inhibitors, especially when combined with chemotherapy. Collectively, our findings highlight the relevance of the rare variants to genetic susceptibility to HCC, which would be helpful for the precise treatment of this malignancy.
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Affiliation(s)
- Yahui Wang
- State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P.R. China; State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing, P.R. China
| | - Xinyi Liu
- State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P.R. China
| | - Xianbo Zuo
- Department of Dermatology, Department of Pharmacy, China-Japan Friendship Hospital, Beijing, P.R. China
| | - Cuiling Wang
- State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P.R. China
| | - Zheng Zhang
- State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P.R. China
| | - Haitao Zhang
- State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P.R. China
| | - Tao Zeng
- Faculty of Hepato-Biliary-Pancreatic Surgery, the First Medical Center of Chinese PLA General of Hospital, Beijing, P.R. China
| | - Shunqi Chen
- State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P.R. China
| | - Mengyu Liu
- State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P.R. China
| | - Hongxia Chen
- State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P.R. China
| | - Qingfeng Song
- Affiliated Cancer Hospital of Guangxi Medical University, Nanning City, Guangxi Province, P.R. China
| | - Qi Li
- State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P.R. China; Department of Neurosciences, School of Medicine, University of South China, Hengyang City, Hunan Province, P.R. China
| | - Chenning Yang
- State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P.R. China
| | - Yi Le
- Department of Hepatobiliary Surgery, the 5th Medical Center of Chinese PLA General of Hospital, Beijing, P.R. China
| | - Jinliang Xing
- State Key Laboratory of Cancer Biology, Experimental Teaching Center of Basic Medicine, Air Force Medical University, Xi'an City, Shaanxi Province, P.R. China
| | - Hongxin Zhang
- Department of Pain Treatment, Tangdu Hospital, Air Force Medical University, Xi'an City, Shaanxi Province, P.R. China
| | - Jiaze An
- Department of Hepatobiliary Surgery, Xijing Hospital, Air Force Medical University, Xi'an City, Shaanxi Province, P.R. China
| | - Weihua Jia
- State Key Laboratory of Oncology in Southern China, Guangzhou City, Guangdong Province, P.R. China; Department of Experimental Research, Sun Yat-Sen University Cancer Center, Guangzhou City, Guangdong Province, P.R. China
| | - Longli Kang
- Key Laboratory for Molecular Genetic Mechanisms and Intervention Research on High Altitude Disease of Tibet Autonomous Region, Key Laboratory of High Altitude Environment and Genes Related to Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang City, Shaanxi Province, P.R. China
| | - Hongxing Zhang
- State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing, P.R. China
| | - Hui Xie
- Department of Interventional Oncology, the Fifth Medical Center of Chinese PLA General of Hospital, Beijing, P.R. China
| | - Jiazhou Ye
- Department of Hepatobiliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning City, Guangxi Province, P.R. China
| | - Tianzhun Wu
- Department of Hepatobiliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning City, Guangxi Province, P.R. China
| | - Fuchu He
- State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing, P.R. China.
| | - Xuejun Zhang
- Department of Dermatology and Institute of Dermatology, First Affiliated Hospital, Anhui Medical University, Hefei City, Anhui Province, P.R. China.
| | - Yuanfeng Li
- State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P.R. China.
| | - Gangqiao Zhou
- State Key Laboratory of Medical Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, P.R. China; Collaborative Innovation Center for Personalized Cancer Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing City, Jiangsu Province, P.R. China.
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Kaci A, Solheim MH, Silgjerd T, Hjaltadottir J, Hornnes LH, Molnes J, Madsen A, Sjøholt G, Bellanné-Chantelot C, Caswell R, Sagen JV, Njølstad PR, Aukrust I, Bjørkhaug L. Functional characterization of HNF4A gene variants identify promoter and cell line specific transactivation effects. Hum Mol Genet 2024; 33:894-904. [PMID: 38433330 PMCID: PMC11070132 DOI: 10.1093/hmg/ddae027] [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: 10/27/2023] [Revised: 01/26/2024] [Accepted: 02/11/2024] [Indexed: 03/05/2024] Open
Abstract
Hepatocyte nuclear factor-4 alpha (HNF-4A) regulates genes with roles in glucose metabolism and β-cell development. Although pathogenic HNF4A variants are commonly associated with maturity-onset diabetes of the young (MODY1; HNF4A-MODY), rare phenotypes also include hyperinsulinemic hypoglycemia, renal Fanconi syndrome and liver disease. While the association of rare functionally damaging HNF1A variants with HNF1A-MODY and type 2 diabetes is well established owing to robust functional assays, the impact of HNF4A variants on HNF-4A transactivation in tissues including the liver and kidney is less known, due to lack of similar assays. Our aim was to investigate the functional effects of seven HNF4A variants, located in the HNF-4A DNA binding domain and associated with different clinical phenotypes, by various functional assays and cell lines (transactivation, DNA binding, protein expression, nuclear localization) and in silico protein structure analyses. Variants R85W, S87N and R89W demonstrated reduced DNA binding to the consensus HNF-4A binding elements in the HNF1A promoter (35, 13 and 9%, respectively) and the G6PC promoter (R85W ~10%). While reduced transactivation on the G6PC promoter in HepG2 cells was shown for S87N (33%), R89W (65%) and R136W (35%), increased transactivation by R85W and R85Q was confirmed using several combinations of target promoters and cell lines. R89W showed reduced nuclear levels. In silico analyses supported variant induced structural impact. Our study indicates that cell line specific functional investigations are important to better understand HNF4A-MODY genotype-phenotype correlations, as our data supports ACMG/AMP interpretations of loss-of-function variants and propose assay-specific HNF4A control variants for future functional investigations.
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Affiliation(s)
- Alba Kaci
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Haukelandsbakken 1, Bergen 5020, Norway
- Center for Laboratory Medicine, Østfold Hospital Trust, Kalnesveien 300, Grålum 1714, Norway
| | - Marie Holm Solheim
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Haukelandsbakken 1, Bergen 5020, Norway
| | - Trine Silgjerd
- Department of Safety, Chemistry, and Biomedical Laboratory Sciences, Western Norway University of Applied Sciences, Inndalsveien 28, Bergen 5020, Norway
| | - Jorunn Hjaltadottir
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Haukelandsbakken 1, Bergen 5020, Norway
- Department of Safety, Chemistry, and Biomedical Laboratory Sciences, Western Norway University of Applied Sciences, Inndalsveien 28, Bergen 5020, Norway
| | - Lorentze Hope Hornnes
- Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Jonas Lies veg 87, Bergen 5021, Norway
| | - Janne Molnes
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Haukelandsbakken 1, Bergen 5020, Norway
- Department of Medical Genetics, Haukeland University Hospital, Jonas Lies veg 87, Bergen 5021, Norway
| | - Andre Madsen
- Department of Clinical Science, University of Bergen, Jonas Lies veg 87, Bergen 5020, Norway
| | - Gry Sjøholt
- Department of Safety, Chemistry, and Biomedical Laboratory Sciences, Western Norway University of Applied Sciences, Inndalsveien 28, Bergen 5020, Norway
| | - Christine Bellanné-Chantelot
- Départment of Medical Genetics, Sorbonne University, AP-HP, Hôpital Pitié-Salpêtriére, 21 rue de l'école de médecine, 75006 Paris, France
| | - Richard Caswell
- Exeter Genomics Laboratory, Royal Devon University Healthcare NHS Foundation Trust, Barrack Rd, Exeter EX2 5DW, United Kingdom
| | - Jørn V Sagen
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Haukelandsbakken 1, Bergen 5020, Norway
- Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Jonas Lies veg 87, Bergen 5021, Norway
| | - Pål R Njølstad
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Haukelandsbakken 1, Bergen 5020, Norway
- Children and Youth Clinic, Haukeland University Hospital, Haukelandsbakken 1, Bergen 5021, Norway
| | - Ingvild Aukrust
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Haukelandsbakken 1, Bergen 5020, Norway
- Department of Medical Genetics, Haukeland University Hospital, Jonas Lies veg 87, Bergen 5021, Norway
| | - Lise Bjørkhaug
- Department of Safety, Chemistry, and Biomedical Laboratory Sciences, Western Norway University of Applied Sciences, Inndalsveien 28, Bergen 5020, Norway
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Hoda A, Bixheku X, Lika Çekani M. Computational analysis of non-synonymous single nucleotide polymorphism in the bovine PKLR geneComputational analysis of bovine PKLR gene. J Biomol Struct Dyn 2024; 42:4155-4168. [PMID: 37278385 DOI: 10.1080/07391102.2023.2219315] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 05/23/2023] [Indexed: 06/07/2023]
Abstract
Pyruvate kinase (PKLR) is a potential candidate gene for milk production traits in cows. The main aim of this work is to investigate the potentially deleterious non-synonymous single nucleotide polymorphisms (nsSNPs) in the PKLR gene by using several computational tools. In silico tools including SIFT, Polyphen-2, SNAP2 and Panther indicated only 18 nsSNPs out of 170 were considered deleterious. The analysis of proteins' stability change due to amino acid substitution performed by the use of the I-mutant, MUpro, CUPSTAT, SDM and Dynamut confirmed that 9 nsSNPs decreased protein stability. ConSurf analysis predicted that all 18 nsSNPs were evolutionary moderately or highly conserved. Two different domains of PKLR protein were revealed by the InterPro tool with 12 nsSNPs positioned in the Pyruvate Kinase barrel domain and 6 nsSNP present in the Pyruvate Kinase C Terminal. The PKLR 3D model was predicted by MODELLER software and validated via Ramachandran plot and Prosa which indicated a good quality model. The analysis of energy minimizations for the native and mutated structures was performed by SWISS PDB viewer with GROMOS 96 program and showed that 3 structural and 4 functional residues had total energy higher than the native model. These findings indicate that these mutant structures (rs441424814, rs449326723, rs476805413, rs472263384, rs474320860, rs475521477, rs441633284) were less stable than the native model. Molecular Dynamics simulations were performed to confirm the impact of nsSNPs on the protein structure and function. The present study provides useful information about functional SNPs that have an impact on PKLR protein in cattle.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Anila Hoda
- Agricultural University of Tirana, Tirana, Albania
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Sandhya KS, Kishore AA, Unni A, Sunitha P, Sajithra CV, Nair AS. Interaction analysis of SARS-CoV-2 omicron BA1 and BA2 of RBD with fifty monoclonal antibodies: Molecular dynamics approach. J Mol Graph Model 2024; 128:108719. [PMID: 38324968 DOI: 10.1016/j.jmgm.2024.108719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 01/19/2024] [Accepted: 01/23/2024] [Indexed: 02/09/2024]
Abstract
This report provides detailed insights into the interaction of fifty monoclonal antibodies with two recent Omicron variants, BA1 and BA2. It has been observed that numerous mutations in the receptor binding domain (RBD) result in significant structural changes in Omicron, enhancing its ability to mediate viral infections compared to other variants of concern. The following antibodies, namely JX3S304, 7KMG, 7CH4, 7BELCOVOX45, 7CDJ, 7C01, 7JX3S2H14, 6XCA, 7CDI, 7JMO, 7B3O, 6ZER, 6XC7CR3022, JX3S309, 6XC7CC123, 7CM4, 7KMI, 7L7EAZD8895, exhibit a superior binding affinity towards the Spike when compared to the reference CR3022. Four best-docked systems were subjected to further testing through molecular dynamics (MD) simulations. The MM/GBSA free energy for the top-scored complexes of BA1 variant are BA1_JX3S3O4, BA1_7KMI, BA1_7CH4, and BA1_7KMG, with respective values of -56.120 kcal/mol, -41.30 kcal/mol, -17.546 kcal/mol, and -8.527 kcal/mol; and of BA2 variant are BA2_JX3S3O4, BA2_7CM4, BA2_KMG, and BA2_7CH4, with respective values of -40.903 kcal/mol, -23.416 kcal/mol, -17.350 kcal/mol, and -5.460 kcal/mol. Detailed structural/energetic parameters, principal component analysis, and free energy landscape (FEL) studies reveal a significant decrease in antibody resistance due to the disappearance of numerous hydrogen bond interactions and various metastable states. We believe that these crucial mechanistic insights will contribute to breakthroughs in SARS-CoV-2 research.
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Affiliation(s)
- K S Sandhya
- Department of Computational Biology and Bioinformatics, University of Kerala, India; Department of Chemistry, University of Kerala, Kerala, India.
| | | | - Arun Unni
- Department of Computational Biology and Bioinformatics, University of Kerala, India
| | - P Sunitha
- Department of Computational Biology and Bioinformatics, University of Kerala, India
| | - C V Sajithra
- Department of Chemistry, University of Kerala, Kerala, India
| | - Achuthsankar S Nair
- Department of Computational Biology and Bioinformatics, University of Kerala, India
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Hoda A, Berisha B, Bixheku X, Zanchi FB. Comprehensive in silico analysis of prolactin receptor (PRLR) gene nonsynonymous single nucleotide polymorphisms (nsSNPs) reveals multifaceted impact on protein structure, function, and interactions. J Biomol Struct Dyn 2024:1-17. [PMID: 38656135 DOI: 10.1080/07391102.2024.2335295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Accepted: 03/20/2024] [Indexed: 04/26/2024]
Abstract
This study delves into the functional and structural implications of non-synonymous single nucleotide polymorphisms (nsSNPs) within the Prolactin Receptor (PRLR) gene. Thirteen deleterious nsSNPs were identified through bioinformatics tools, with SIFT predicting 168 out of 395 nsSNPs as detrimental, exhibiting tolerance index (TI) scores ranging from 0 to 0.05. Polyphen2 assigned likelihood scores >0.99 to all 13 nsSNPs, indicating high probability of harm, while Panther scores classified most nsSNPs as 'probably damaging', with specific mutations like W218R scoring 0.74, suggesting a higher impact. Stability analysis using DDG I-Mutant and DDG Mupro consistently predicted decreased stability for all mutations, with CUPSAT indicating mutations like V125G and W218R significantly decreasing stability. Structural analysis through DynaMut predicted destabilization for all mutations except L196I and L292H. MutPred2 highlighted structural alterations for all nsSNPs except L196I, L293V, R315W, and S353N. Domain analysis revealed key mutations within essential functional domains, with five nsSNPs located within Fibronectin type-III domains. Bayesian analysis through ConSurf identified 9 critical residues, with 11 nsSNPs exhibiting notably high conservation. STRING analysis unveiled a complex interaction network, indicating involvement in vital biological processes like lactation. Molecular dynamics (MD) simulations, spanning 100 nanoseconds, elucidated structural dynamics induced by detrimental missense SNPs. Post-translational modification (PTM) analysis identified specific mutations, such as R351, involved in methylation, while S353 was implicated in phosphorylation and glycosylation. These findings offer comprehensive insights into the molecular and phenotypic effects of deleterious nsSNPs in the PRLR gene, crucial for selective breeding.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Anila Hoda
- Department Animal Sciences, Agricultural University of Tirana, Albania
| | - Bajram Berisha
- Department of Animal Physiology & Immunology, Life Science Center Weihenstephan, TU Munich (TUM), Germany
| | | | - Fernando Berton Zanchi
- Pesquisador - Fiocruz Rondônia. Laboratório de Bioinformática e Química Medicinal-LABIOQUIM, Centro de Estudos de Biomoléculas Aplicadas à Saúde - CEBio
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Piubelli C, Treggiari D, Lavezzari D, Deiana M, Dishnica K, Tosato EMS, Mazzi C, Cattaneo P, Mori A, Pomari E, Nicolini L, Leonardi M, Perandin F, Formenti F, Giorgetti A, Conti A, Capobianchi MR, Gobbi FG, Castilletti C. Wide Real-Life Data Support Reduced Sensitivity of Antigen Tests for Omicron SARS-CoV-2 Infections. Viruses 2024; 16:657. [PMID: 38793539 PMCID: PMC11125898 DOI: 10.3390/v16050657] [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: 03/14/2024] [Revised: 04/17/2024] [Accepted: 04/19/2024] [Indexed: 05/26/2024] Open
Abstract
With the continuous spread of new SARS-CoV-2 variants of concern (VOCs), the monitoring of diagnostic test performances is mandatory. We evaluated the changes in antigen diagnostic tests' (ADTs) accuracy along the Delta to Omicron VOCs transition, exploring the N protein mutations possibly affecting ADT sensitivity and assessing the best sampling site for the diagnosis of Omicron infections. In total, 5175 subjects were enrolled from 1 October 2021 to 15 July 2022. The inclusion criteria were SARS-CoV-2 ADT combined with a same-day RT-PCR swab test. For the sampling site analysis, 61 patients were prospectively recruited during the Omicron period for nasal and oral swab analyses by RT-PCR. Next-Generation Sequencing data were obtained to evaluate the different sublineages. Using RT-PCR as a reference, 387 subjects resulted in becoming infected and the overall sensitivity of the ADT decreased from 63% in the Delta period to 33% in the Omicron period. This decrease was highly statistically significant (p < 0.001), and no decrease in viral load was detected at the RNA level. The nasal site presented a significantly higher viral load than the oral site during the Omicron wave. The reduced detection rate of Omicron infections by ADT should be considered in the global testing strategy to preserve accurate diagnoses across the changing SARS-CoV-2 variants.
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Affiliation(s)
- Chiara Piubelli
- Department of Infectious, Tropical Diseases and Microbiology, IRCCS Sacro Cuore—Don Calabria Hospital, Negrar di Valpolicella, 37124 Verona, Italy (L.N.)
| | - Davide Treggiari
- Department of Infectious, Tropical Diseases and Microbiology, IRCCS Sacro Cuore—Don Calabria Hospital, Negrar di Valpolicella, 37124 Verona, Italy (L.N.)
| | - Denise Lavezzari
- Department of Infectious, Tropical Diseases and Microbiology, IRCCS Sacro Cuore—Don Calabria Hospital, Negrar di Valpolicella, 37124 Verona, Italy (L.N.)
| | - Michela Deiana
- Department of Infectious, Tropical Diseases and Microbiology, IRCCS Sacro Cuore—Don Calabria Hospital, Negrar di Valpolicella, 37124 Verona, Italy (L.N.)
| | - Klevia Dishnica
- Department of Biotechnology, University of Verona, 37124 Verona, Italy
| | | | - Cristina Mazzi
- Centre for Clinical Research, IRCCS Sacro Cuore—Don Calabria Hospital, Negrar di Valpolicella, 37124 Verona, Italy;
| | - Paolo Cattaneo
- Department of Infectious, Tropical Diseases and Microbiology, IRCCS Sacro Cuore—Don Calabria Hospital, Negrar di Valpolicella, 37124 Verona, Italy (L.N.)
| | - Antonio Mori
- Department of Infectious, Tropical Diseases and Microbiology, IRCCS Sacro Cuore—Don Calabria Hospital, Negrar di Valpolicella, 37124 Verona, Italy (L.N.)
| | - Elena Pomari
- Department of Infectious, Tropical Diseases and Microbiology, IRCCS Sacro Cuore—Don Calabria Hospital, Negrar di Valpolicella, 37124 Verona, Italy (L.N.)
| | - Lavinia Nicolini
- Department of Infectious, Tropical Diseases and Microbiology, IRCCS Sacro Cuore—Don Calabria Hospital, Negrar di Valpolicella, 37124 Verona, Italy (L.N.)
| | - Martina Leonardi
- Department of Infectious, Tropical Diseases and Microbiology, IRCCS Sacro Cuore—Don Calabria Hospital, Negrar di Valpolicella, 37124 Verona, Italy (L.N.)
| | - Francesca Perandin
- Department of Infectious, Tropical Diseases and Microbiology, IRCCS Sacro Cuore—Don Calabria Hospital, Negrar di Valpolicella, 37124 Verona, Italy (L.N.)
| | - Fabio Formenti
- Department of Infectious, Tropical Diseases and Microbiology, IRCCS Sacro Cuore—Don Calabria Hospital, Negrar di Valpolicella, 37124 Verona, Italy (L.N.)
| | | | - Antonio Conti
- Clinical Analysis Laboratory and Transfusional Service, IRCCS Sacro Cuore—Don Calabria Hospital, Negrar di Valpolicella, 37124 Verona, Italy
| | - Maria Rosaria Capobianchi
- Department of Infectious, Tropical Diseases and Microbiology, IRCCS Sacro Cuore—Don Calabria Hospital, Negrar di Valpolicella, 37124 Verona, Italy (L.N.)
| | - Federico Giovanni Gobbi
- Department of Infectious, Tropical Diseases and Microbiology, IRCCS Sacro Cuore—Don Calabria Hospital, Negrar di Valpolicella, 37124 Verona, Italy (L.N.)
| | - Concetta Castilletti
- Department of Infectious, Tropical Diseases and Microbiology, IRCCS Sacro Cuore—Don Calabria Hospital, Negrar di Valpolicella, 37124 Verona, Italy (L.N.)
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Luo P, Liu Z, Lai C, Jin Z, Wang M, Zhao H, Liu Y, Zhang W, Wang X, Xiao C, Yang X, Wang F. Time-Resolved Ultraviolet Photodissociation Mass Spectrometry Probes the Mutation-Induced Alterations in Protein Stability and Unfolding Dynamics. J Am Chem Soc 2024; 146:8832-8838. [PMID: 38507251 DOI: 10.1021/jacs.4c00316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/22/2024]
Abstract
How mutations impact protein stability and structure dynamics is crucial for understanding the pathological process and rational drug design. Herein, we establish a time-resolved native mass spectrometry (TR-nMS) platform via a rapid-mixing capillary apparatus for monitoring the acid-initiated protein unfolding process. The molecular details in protein structure unfolding are further profiled by a 193 nm ultraviolet photodissociation (UVPD) analysis of the structure-informative photofragments. Compared with the wild-type dihydrofolate reductase (WT-DHFR), the M42T/H114R mutant (MT-DHFR) exhibits a significant stability decrease in TR-nMS characterization. UVPD comparisons of the unfolding intermediates and original DHFR forms indicate the special stabilization effect of cofactor NADPH on DHFR structure, and the M42T/H114R mutations lead to a significant decrease in NADPH-DHFR interactions, thus promoting the structure unfolding. Our study paves the way for probing the mutation-induced subtle changes in the stability and structure dynamics of drug targets.
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Affiliation(s)
- Pan Luo
- Institute of Advanced Science Facilities, Shenzhen 518107, China
- CAS Key Laboratory of Separation Sciences for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
- State Key Laboratory of Molecular Reaction Dynamics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
- Department of Chemical Physics, University of Science and Technology of China, Hefei 230026, China
| | - Zheyi Liu
- CAS Key Laboratory of Separation Sciences for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Can Lai
- CAS Key Laboratory of Separation Sciences for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
- State Key Laboratory of Molecular Reaction Dynamics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhixiong Jin
- CAS Key Laboratory of Separation Sciences for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
- State Key Laboratory of Molecular Reaction Dynamics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
| | - Mengdie Wang
- CAS Key Laboratory of Separation Sciences for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Heng Zhao
- CAS Key Laboratory of Separation Sciences for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
- State Key Laboratory of Molecular Reaction Dynamics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
| | - Yu Liu
- CAS Key Laboratory of Separation Sciences for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
| | - Weiqing Zhang
- State Key Laboratory of Molecular Reaction Dynamics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
| | - Xingan Wang
- Department of Chemical Physics, University of Science and Technology of China, Hefei 230026, China
| | - Chunlei Xiao
- State Key Laboratory of Molecular Reaction Dynamics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
| | - Xueming Yang
- Institute of Advanced Science Facilities, Shenzhen 518107, China
- State Key Laboratory of Molecular Reaction Dynamics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
| | - Fangjun Wang
- CAS Key Laboratory of Separation Sciences for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
- State Key Laboratory of Molecular Reaction Dynamics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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47
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Huang CK, Yu MC, Hung CS, Lin JC. Emerging insight of whole genome sequencing coupled with protein structure prediction into the pyrazinamide-resistance signature of Mycobacterium tuberculosis. Int J Antimicrob Agents 2024; 63:107053. [PMID: 38081550 DOI: 10.1016/j.ijantimicag.2023.107053] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Revised: 11/11/2023] [Accepted: 12/04/2023] [Indexed: 02/25/2024]
Abstract
Pyrazinamide (PZA) is considered to be a pivotal drug to shorten the treatment of both drug-susceptible and drug-resistant tuberculosis, but its use is challenged by the reliability of drug-susceptibility testing (DST). PZA resistance in Mycobacterium tuberculosis (MTB) is relevant to the amino acid substitution of pyrazinamidase that is responsible for the conversion of PZA to active pyrazinoic acid (POA). The single nucleotide variants (SNVs) within ribosomal protein S1 (rpsA) or aspartate decarboxylase (panD), the binding targets of POA, has been reported to drive the PZA-resistance signature of MTB. In this study, whole genome sequencing (WGS) was used to identify SNVs within the pncA, rpsA and panD genes in 100 clinical MTB isolates associated with DST results for PZA. The potential influence of high-confidence, interim-confidence or emerging variants on the interplay between target genes and PZA or POA was simulated computationally, and predicted with a protein structure modelling approach. The DST results showed weak agreement with the identification of high-confidence variants within the pncA gene (Cohen's kappa coefficient=0.58), the analytic results of WGS coupled with protein structure modelling on pncA mutants (Cohen's kappa coefficient=0.524) or related genes (Cohen's kappa coefficient=0.504). Taken together, these results suggest the practicable application of a genotypic-coupled bioinformatic approach to manage PZA-containing regimens for patients with MTB.
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Affiliation(s)
- Chun-Kai Huang
- Ph.D. Program in Medical Biotechnology, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan; Department of Laboratory Medicine, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
| | - Ming-Chih Yu
- Division of Pulmonary Medicine, Department of Internal Medicine, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan; School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan; Pulmonary Research Centre, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
| | - Ching-Sheng Hung
- Department of Laboratory Medicine, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
| | - Jung-Chun Lin
- Ph.D. Program in Medical Biotechnology, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan; Pulmonary Research Centre, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan; School of Medical Laboratory Science and Biotechnology, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
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48
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Rey V, Tornín J, Alba-Linares JJ, Robledo C, Murillo D, Rodríguez A, Gallego B, Huergo C, Viera C, Braña A, Astudillo A, Heymann D, Szuhai K, Bovée JVMG, Fernández AF, Fraga MF, Alonso J, Rodríguez R. A personalized medicine approach identifies enasidenib as an efficient treatment for IDH2 mutant chondrosarcoma. EBioMedicine 2024; 102:105090. [PMID: 38547578 PMCID: PMC10990714 DOI: 10.1016/j.ebiom.2024.105090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 03/13/2024] [Accepted: 03/14/2024] [Indexed: 04/07/2024] Open
Abstract
BACKGROUND Sarcomas represent an extensive group of malignant diseases affecting mesodermal tissues. Among sarcomas, the clinical management of chondrosarcomas remains a complex challenge, as high-grade tumours do not respond to current therapies. Mutations in the isocitrate dehydrogenase (IDH) 1 and 2 genes are among the most common mutations detected in chondrosarcomas and may represent a therapeutic opportunity. The presence of mutated IDH (mIDH) enzymes results in the accumulation of the oncometabolite 2-HG leading to molecular alterations that contribute to drive tumour growth. METHODS We developed a personalized medicine strategy based on the targeted NGS/Sanger sequencing of sarcoma samples (n = 6) and the use of matched patient-derived cell lines as a drug-testing platform. The anti-tumour potential of IDH mutations found in two chondrosarcoma cases was analysed in vitro, in vivo and molecularly (transcriptomic and DNA methylation analyses). FINDINGS We treated several chondrosarcoma models with specific mIDH1/2 inhibitors. Among these treatments, only the mIDH2 inhibitor enasidenib was able to decrease 2-HG levels and efficiently reduce the viability of mIDH2 chondrosarcoma cells. Importantly, oral administration of enasidenib in xenografted mice resulted in a complete abrogation of tumour growth. Enasidenib induced a profound remodelling of the transcriptomic landscape not associated to changes in the 5 mC methylation levels and its anti-tumour effects were associated with the repression of proliferative pathways such as those controlled by E2F factors. INTERPRETATION Overall, this work provides preclinical evidence for the use of enasidenib to treat mIDH2 chondrosarcomas. FUNDING Supported by the Spanish Research Agency/FEDER (grants PID2022-142020OB-I00; PID2019-106666RB-I00), the ISC III/FEDER (PI20CIII/00020; DTS18CIII/00005; CB16/12/00390; CB06/07/1009; CB19/07/00057); the GEIS group (GEIS-62); and the PCTI (Asturias)/FEDER (IDI/2021/000027).
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Affiliation(s)
- Verónica Rey
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Hospital Universitario Central de Asturias, Avenida de Roma, s/n, 33011, Oviedo, Spain; Instituto Universitario de Oncología del Principado de Asturias, 33011, Oviedo, Spain; CIBER en oncología (CIBERONC), 28029, Madrid, Spain
| | - Juan Tornín
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Hospital Universitario Central de Asturias, Avenida de Roma, s/n, 33011, Oviedo, Spain; Instituto Universitario de Oncología del Principado de Asturias, 33011, Oviedo, Spain
| | - Juan Jose Alba-Linares
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Hospital Universitario Central de Asturias, Avenida de Roma, s/n, 33011, Oviedo, Spain; Instituto Universitario de Oncología del Principado de Asturias, 33011, Oviedo, Spain; Cancer Epigenetics and Nanomedicine Laboratory, Nanomaterials and Nanotechnology Research Center (CINN-CSIC), El Entrego, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Cristina Robledo
- Unidad de Tumores Sólidos Infantiles, Instituto de Investigación de Enfermedades Raras (IIER), Instituto de Salud Carlos III (ISCIII), 28220, Madrid, Spain
| | - Dzohara Murillo
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Hospital Universitario Central de Asturias, Avenida de Roma, s/n, 33011, Oviedo, Spain; Instituto Universitario de Oncología del Principado de Asturias, 33011, Oviedo, Spain
| | - Aida Rodríguez
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Hospital Universitario Central de Asturias, Avenida de Roma, s/n, 33011, Oviedo, Spain; Instituto Universitario de Oncología del Principado de Asturias, 33011, Oviedo, Spain
| | - Borja Gallego
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Hospital Universitario Central de Asturias, Avenida de Roma, s/n, 33011, Oviedo, Spain; Instituto Universitario de Oncología del Principado de Asturias, 33011, Oviedo, Spain
| | - Carmen Huergo
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Hospital Universitario Central de Asturias, Avenida de Roma, s/n, 33011, Oviedo, Spain; Instituto Universitario de Oncología del Principado de Asturias, 33011, Oviedo, Spain; CIBER en oncología (CIBERONC), 28029, Madrid, Spain
| | - Cristina Viera
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Hospital Universitario Central de Asturias, Avenida de Roma, s/n, 33011, Oviedo, Spain
| | - Alejandro Braña
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Hospital Universitario Central de Asturias, Avenida de Roma, s/n, 33011, Oviedo, Spain; Instituto Universitario de Oncología del Principado de Asturias, 33011, Oviedo, Spain; Department of Traumatology, University Hospital of Asturias (HUCA), Oviedo, Spain
| | - Aurora Astudillo
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Hospital Universitario Central de Asturias, Avenida de Roma, s/n, 33011, Oviedo, Spain; Instituto Universitario de Oncología del Principado de Asturias, 33011, Oviedo, Spain; Department of Pathology, University Hospital of Asturias (HUCA), Oviedo, Spain
| | - Dominique Heymann
- Nantes Université, CNRS, US2B, UMR 6286, 44000, Nantes, France; Institut de Cancérologie de l'Ouest, Tumor Heterogeneity and Precision Medicine Lab. Université de Nantes, 44805, Saint-Herblain, France; Department of Oncology and Metabolism, Medical School, University of Sheffield, Sheffield, UK
| | - Karoly Szuhai
- Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, Netherlands
| | - Judith V M G Bovée
- Department of Pathology, Leiden University Medical Center, Leiden, Netherlands
| | - Agustín F Fernández
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Hospital Universitario Central de Asturias, Avenida de Roma, s/n, 33011, Oviedo, Spain; Instituto Universitario de Oncología del Principado de Asturias, 33011, Oviedo, Spain; Cancer Epigenetics and Nanomedicine Laboratory, Nanomaterials and Nanotechnology Research Center (CINN-CSIC), El Entrego, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Mario F Fraga
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Hospital Universitario Central de Asturias, Avenida de Roma, s/n, 33011, Oviedo, Spain; Instituto Universitario de Oncología del Principado de Asturias, 33011, Oviedo, Spain; Cancer Epigenetics and Nanomedicine Laboratory, Nanomaterials and Nanotechnology Research Center (CINN-CSIC), El Entrego, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Javier Alonso
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, 28029, Madrid, Spain; Unidad de Tumores Sólidos Infantiles, Instituto de Investigación de Enfermedades Raras (IIER), Instituto de Salud Carlos III (ISCIII), 28220, Madrid, Spain
| | - René Rodríguez
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Hospital Universitario Central de Asturias, Avenida de Roma, s/n, 33011, Oviedo, Spain; Instituto Universitario de Oncología del Principado de Asturias, 33011, Oviedo, Spain; CIBER en oncología (CIBERONC), 28029, Madrid, Spain.
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Shao LN, Yang YC, Xia YX, Li CX, Zhou SH, Liang XH. Novel missense mutation c.797T>C (p.Met266Thr) gives rise to the rare B(A) phenotype in a Chinese family. Vox Sang 2024; 119:383-387. [PMID: 38245843 DOI: 10.1111/vox.13591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 12/31/2023] [Accepted: 01/02/2024] [Indexed: 01/22/2024]
Abstract
BACKGROUND AND OBJECTIVES B(A) phenotype is usually formed by nucleotide mutations in the ABO*B.01 allele, with their products exhibiting glycosyltransferases (GTs) A and B overlapping functionality. We herein report a B(A) allele found in a Chinese family. MATERIALS AND METHODS The entire ABO genes of the probands, including flanking regulatory regions, were sequenced through PacBio third-generation long-read single-molecule real-time sequencing. 3D molecular models of the wild-type and mutant GTB were generated using the DynaMut web server. The effect of the mutation on the enzyme function was predicted by PROVEAN and PolyPhen2. The predictions of stability changes were performed using DynaMut and SNPeffect. RESULTS Based on serological and sequencing features, we concluded the two probands as possible cases of the B(A) phenotype. Crystallization analysis showed that Thr266 substitution does not disrupt the hydrogen bonds. However, some changes in interatomic contacts, such as loss of ionic interactions and hydrophobic contacts, and addition of weak hydrogen bonds, may have affected protein stability to some extent. This mutation was predicted to have a benign effect on enzyme function and slightly reduce protein stability. CONCLUSION The probands had the same novel B(A) allele with a c.797T>C (p.Met266Thr) mutation on the ABO*B.01 backbone.
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Affiliation(s)
| | | | - Yue-Xin Xia
- Dalian Blood Center, Dalian, Liaoning, China
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50
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Liu P, Cai J, Tian H, Li J, Lu L, Xu M, Zhu X, Fu X, Wang X, Zhong H, Jia R, Ge Y, Zhu Y, Zeng M, Xu J. Characteristics of SARS-CoV-2 Omicron BA.5 variants in Shanghai after ending the zero-COVID policy in December 2022: a clinical and genomic analysis. Front Microbiol 2024; 15:1372078. [PMID: 38605705 PMCID: PMC11007228 DOI: 10.3389/fmicb.2024.1372078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 03/15/2024] [Indexed: 04/13/2024] Open
Abstract
Introduction An unprecedented surge of Omicron infections appeared nationwide in China in December 2022 after the adjustment of the COVID-19 response policy. Here, we report the clinical and genomic characteristics of SARS-CoV-2 infections among children in Shanghai during this outbreak. Methods A total of 64 children with symptomatic COVID-19 were enrolled. SARS-CoV-2 whole genome sequences were obtained using next-generation sequencing (NGS) technology. Patient demographics and clinical characteristics were compared between variants. Phylogenetic tree, mutation spectrum, and the impact of unique mutations on SARS-CoV-2 proteins were analysed in silico. Results The genomic monitoring revealed that the emerging BA.5.2.48 and BF.7.14 were the dominant variants. The BA.5.2.48 infections were more frequently observed to experience vomiting/diarrhea and less frequently present cough compared to the BF.7.14 infections among patients without comorbidities in the study. The high-frequency unique non-synonymous mutations were present in BA.5.2.48 (N:Q241K) and BF.7.14 (nsp2:V94L, nsp12:L247F, S:C1243F, ORF7a:H47Y) with respect to their parental lineages. Of these mutations, S:C1243F, nsp12:L247F, and ORF7a:H47Y protein were predicted to have a deleterious effect on the protein function. Besides, nsp2:V94L and nsp12:L247F were predicted to destabilize the proteins. Discussion Further in vitro to in vivo studies are needed to verify the role of these specific mutations in viral fitness. In addition, continuous genomic monitoring and clinical manifestation assessments of the emerging variants will still be crucial for the effective responses to the ongoing COVID-19 pandemic.
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Affiliation(s)
- Pengcheng Liu
- Department of Clinical Laboratory, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - Jiehao Cai
- Department of Infectious Diseases, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - He Tian
- Department of Infectious Diseases, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - Jingjing Li
- Department of Infectious Diseases, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - Lijuan Lu
- Department of Clinical Laboratory, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - Menghua Xu
- Department of Clinical Laboratory, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - Xunhua Zhu
- Department of Clinical Laboratory, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - Xiaomin Fu
- Department of Infectious Diseases, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - Xiangshi Wang
- Department of Infectious Diseases, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - Huaqing Zhong
- Department of Clinical Laboratory, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - Ran Jia
- Department of Clinical Laboratory, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - Yanling Ge
- Department of Infectious Diseases, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - Yanfeng Zhu
- Department of Infectious Diseases, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - Mei Zeng
- Department of Infectious Diseases, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
| | - Jin Xu
- Department of Clinical Laboratory, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China
- Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
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