1
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Cunningham ASG, Gorospe M. Striving for clarity in language about gene expression. Nucleic Acids Res 2024:gkae764. [PMID: 39271127 DOI: 10.1093/nar/gkae764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2024] [Revised: 08/15/2024] [Accepted: 08/21/2024] [Indexed: 09/15/2024] Open
Abstract
What do we mean when we say 'gene expression'? In the decades following Crick's 1958 central dogma of molecular biology, whereby genetic information flows from DNA (genes) to RNA (transcripts) to protein (products), we have learned a great deal about DNA, RNA, proteins, and the ensuing phenotypic changes. With the advent of high-throughput technologies (1990s), molecular biologists and computer scientists forged critical collaborations to understand the vast amount of data being generated, rapidly escalating gene expression research to the 'omics' level: entire sets of genes (genomes), transcribed RNAs (transcriptomes), and synthesized proteins (proteomes). However, some concessions came to be made for molecular biologists and computer scientists to understand each other-one of the most prevalent being the increasingly widespread use of 'gene' to mean 'RNAs originating from a DNA segment'. This loosening of terminology, we will argue, creates ambiguity and confusion. We propose guidelines to increase precision and clarity when communicating about gene expression, most notably to reserve 'gene' for the DNA template and 'transcript' for the RNA transcribed from that gene. Striving to use perspicuous terminology will promote rigorous gene expression science and accelerate discovery in this highly promising area of biology.
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Affiliation(s)
- Ana S G Cunningham
- Laboratory of Genetics and Genomics, National Institute on Aging Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA
| | - Myriam Gorospe
- Laboratory of Genetics and Genomics, National Institute on Aging Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA
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2
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Dalgleish R, Micha D, Superti-Furga A, van Dijk FS, Sillence DO. Letter to the editor: Re: Pathogenic mechanisms of osteogenesis imperfecta, evidence for classification. Orphanet J Rare Dis 2024; 19:272. [PMID: 39030555 PMCID: PMC11264877 DOI: 10.1186/s13023-024-03269-9] [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: 10/16/2023] [Accepted: 07/01/2024] [Indexed: 07/21/2024] Open
Abstract
A paper published in Orphanet Journal of Rare Diseases proposes a new classification of osteogenesis imperfecta (OI) based upon underlying pathological mechanisms. The proposed numbering of OI types conflicts with the currently used numbering and is likely to lead to confusion. In addition, classification of OI according to underlying pathogenic mechanisms is not novel.
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Affiliation(s)
- Raymond Dalgleish
- Department of Genetics and Genome Biology, University of Leicester, Leicester, UK.
| | - Dimitra Micha
- Department of Human Genetics, Amsterdam Reproduction and Development, Amsterdam Movement Sciences, Amsterdam UMC, Amsterdam, The Netherlands
| | | | - Fleur S van Dijk
- North West Thames Regional Genetics Service, London North West University Health Care NHS Trust, Harrow, UK
- Department of Metabolism, Digestion and Reproduction, Section of Genetics and Genomics, Imperial College London, London, UK
| | - David O Sillence
- Genomic Medicine and Paediatrics & Adolescent Health, Sydney University Clinical School, Children's Hospital, Westmead, NSW, Australia
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3
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Stamatopoulos K, Bruford E, Campo E, Lefranc MP. Immunogenetics in hematopathology and hematology: why a common language is important. Leukemia 2024; 38:1474-1476. [PMID: 38664547 PMCID: PMC11216993 DOI: 10.1038/s41375-024-02260-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 04/12/2024] [Accepted: 04/15/2024] [Indexed: 07/03/2024]
Affiliation(s)
- Kostas Stamatopoulos
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece.
- Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden.
| | - Elspeth Bruford
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Elias Campo
- Hematopathology Section, Pathology Department, Hospital Clínic, University of Barcelona, Barcelona, Spain
- Molecular Pathology of Lymphoid Neoplasms Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Marie-Paule Lefranc
- IMGT®, the international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire (LIGM), Institut de Génétique Humaine (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier, Montpellier, France.
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4
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Cunha-Oliveira T, Ioannidis JPA, Oliveira PJ. Best practices for data management and sharing in experimental biomedical research. Physiol Rev 2024; 104:1387-1408. [PMID: 38451234 PMCID: PMC11380994 DOI: 10.1152/physrev.00043.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 02/07/2024] [Accepted: 02/29/2024] [Indexed: 03/08/2024] Open
Abstract
Effective data management is crucial for scientific integrity and reproducibility, a cornerstone of scientific progress. Well-organized and well-documented data enable validation and building on results. Data management encompasses activities including organization, documentation, storage, sharing, and preservation. Robust data management establishes credibility, fostering trust within the scientific community and benefiting researchers' careers. In experimental biomedicine, comprehensive data management is vital due to the typically intricate protocols, extensive metadata, and large datasets. Low-throughput experiments, in particular, require careful management to address variations and errors in protocols and raw data quality. Transparent and accountable research practices rely on accurate documentation of procedures, data collection, and analysis methods. Proper data management ensures long-term preservation and accessibility of valuable datasets. Well-managed data can be revisited, contributing to cumulative knowledge and potential new discoveries. Publicly funded research has an added responsibility for transparency, resource allocation, and avoiding redundancy. Meeting funding agency expectations increasingly requires rigorous methodologies, adherence to standards, comprehensive documentation, and widespread sharing of data, code, and other auxiliary resources. This review provides critical insights into raw and processed data, metadata, high-throughput versus low-throughput datasets, a common language for documentation, experimental and reporting guidelines, efficient data management systems, sharing practices, and relevant repositories. We systematically present available resources and optimal practices for wide use by experimental biomedical researchers.
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Affiliation(s)
- Teresa Cunha-Oliveira
- Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal
- Center for Innovative Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal
| | - John P A Ioannidis
- Meta-Research Innovation Center at Stanford (METRICS), Stanford, California, United States
- Department of Statistics, Stanford University, Stanford, California, United States
| | - Paulo J Oliveira
- Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal
- Center for Innovative Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal
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5
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Lei P, Guo Q, Hao J, Liu H, Chen Y, Wu F, He Z, Zhang X, Zhang N, Wen S, Gao W, Wu Y. Exploring the evolving roles and clinical significance of circRNAs in head and neck squamous cell carcinoma. J Cancer 2024; 15:3984-3994. [PMID: 38911371 PMCID: PMC11190751 DOI: 10.7150/jca.96614] [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: 03/25/2024] [Accepted: 05/13/2024] [Indexed: 06/25/2024] Open
Abstract
Head and neck squamous cell carcinoma (HNSCC) represents the predominant malignancies in the head and neck region, and has limited therapeutic alternatives. Circular RNAs (circRNAs), a substantial category of non-coding RNA molecules, exert influential roles in human disease development and progression, employing various mechanisms such as microRNA sponging, interaction with RNA-binding proteins, and translational capabilities. Accumulating evidence highlights the differential expression of numerous circRNAs in HNSCC, and numerous dysregulated circRNAs underscore their crucial involvement in malignant advancement and resistance to treatment. This review aims to comprehensively outline the characteristics, biogenesis, and mechanisms of circRNAs, elucidating their functional significance in HNSCC. In addition, we delve into the clinical implications of circRNAs, considering their potential as biomarkers or targets for diagnosis, prognosis, and therapeutic applications in HNSCC. The discussion extends to exploring future challenges in the clinical translation of circRNAs, emphasizing the need for further research.
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Affiliation(s)
- Pengxiang Lei
- Shanxi Key Laboratory of Otorhinolaryngology Head and Neck Cancer, Department of Otolaryngology Head & Neck Surgery, First Hospital of Shanxi Medical University, Taiyuan 030001, Shanxi, China
| | - Qingbo Guo
- Shanxi Key Laboratory of Otorhinolaryngology Head and Neck Cancer, Department of Otolaryngology Head & Neck Surgery, First Hospital of Shanxi Medical University, Taiyuan 030001, Shanxi, China
| | - Jiewen Hao
- Department of Otolaryngology Head & Neck Surgery, The Third Hospital of Shanxi Medical University (Shanxi Bethune Hospital), Taiyuan 030032, Shanxi, China
| | - Hui Liu
- Department of Hepatobiliary Surgery, Shenzhen University General Hospital & Shenzhen University Clinical Medical Academy, Shenzhen University, Shenzhen 518055, Guangdong, China
| | - Yaofeng Chen
- Department of Otolaryngology Head & Neck Surgery, Shenzhen University General Hospital & Shenzhen University Clinical Medical Academy, Shenzhen University, Shenzhen 518055, Guangdong, China
| | - Feng Wu
- Shenzhen Research Institute, Northwest A&F University, Shenzhen 518000, Guangdong, China
| | - Zhao He
- Shenzhen Research Institute, Northwest A&F University, Shenzhen 518000, Guangdong, China
| | - Xiaolong Zhang
- Shenzhen Research Institute, Northwest A&F University, Shenzhen 518000, Guangdong, China
| | - Nannan Zhang
- Department of Otolaryngology Head & Neck Surgery, Shenzhen University General Hospital & Shenzhen University Clinical Medical Academy, Shenzhen University, Shenzhen 518055, Guangdong, China
| | - Shuxin Wen
- Department of Otolaryngology Head & Neck Surgery, The Third Hospital of Shanxi Medical University (Shanxi Bethune Hospital), Taiyuan 030032, Shanxi, China
| | - Wei Gao
- Department of Otolaryngology Head & Neck Surgery, Longgang Otolaryngology Hospital, Shenzhen 518172, Guangdong, China
- Shenzhen Institute of Otolaryngology & Key Laboratory of Otolaryngology, Longgang Otolaryngology Hospital, Shenzhen 518172, Guangdong, China
| | - Yongyan Wu
- Shanxi Key Laboratory of Otorhinolaryngology Head and Neck Cancer, Department of Otolaryngology Head & Neck Surgery, First Hospital of Shanxi Medical University, Taiyuan 030001, Shanxi, China
- Department of Otolaryngology Head & Neck Surgery, Longgang Otolaryngology Hospital, Shenzhen 518172, Guangdong, China
- Shenzhen Institute of Otolaryngology & Key Laboratory of Otolaryngology, Longgang Otolaryngology Hospital, Shenzhen 518172, Guangdong, China
- Shenzhen University General Hospital & Shenzhen University Clinical Medical Academy, Shenzhen University, Shenzhen 518055, Guangdong, China
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6
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Horsthemke M, Arnaud CA, Hanley PJ. Are the class 18 myosins Myo18A and Myo18B specialist sarcomeric proteins? Front Physiol 2024; 15:1401717. [PMID: 38784114 PMCID: PMC11112018 DOI: 10.3389/fphys.2024.1401717] [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: 03/15/2024] [Accepted: 04/22/2024] [Indexed: 05/25/2024] Open
Abstract
Initially, the two members of class 18 myosins, Myo18A and Myo18B, appeared to exhibit highly divergent functions, complicating the assignment of class-specific functions. However, the identification of a striated muscle-specific isoform of Myo18A, Myo18Aγ, suggests that class 18 myosins may have evolved to complement the functions of conventional class 2 myosins in sarcomeres. Indeed, both genes, Myo18a and Myo18b, are predominantly expressed in the heart and somites, precursors of skeletal muscle, of developing mouse embryos. Genetic deletion of either gene in mice is embryonic lethal and is associated with the disorganization of cardiac sarcomeres. Moreover, Myo18Aγ and Myo18B localize to sarcomeric A-bands, albeit the motor (head) domains of these unconventional myosins have been both deduced and biochemically demonstrated to exhibit negligible ATPase activity, a hallmark of motor proteins. Instead, Myo18Aγ and Myo18B presumably coassemble with thick filaments and provide structural integrity and/or internal resistance through interactions with F-actin and/or other proteins. In addition, Myo18Aγ and Myo18B may play distinct roles in the assembly of myofibrils, which may arise from actin stress fibers containing the α-isoform of Myo18A, Myo18Aα. The β-isoform of Myo18A, Myo18Aβ, is similar to Myo18Aα, except that it lacks the N-terminal extension, and may serve as a negative regulator through heterodimerization with either Myo18Aα or Myo18Aγ. In this review, we contend that Myo18Aγ and Myo18B are essential for myofibril structure and function in striated muscle cells, while α- and β-isoforms of Myo18A play diverse roles in nonmuscle cells.
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Affiliation(s)
- Markus Horsthemke
- IMM Institute for Molecular Medicine, HMU Health and Medical University Potsdam, Potsdam, Germany
| | - Charles-Adrien Arnaud
- IMM Institute for Molecular Medicine, HMU Health and Medical University Potsdam, Potsdam, Germany
- Department of Medicine, Science Faculty, MSB Medical School Berlin, Berlin, Germany
| | - Peter J. Hanley
- IMM Institute for Molecular Medicine, HMU Health and Medical University Potsdam, Potsdam, Germany
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7
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Gabbert C, Klein C, Trinh J. How Do I Report Genes in a Paper? Mov Disord Clin Pract 2024; 11:594-597. [PMID: 38469948 PMCID: PMC11078486 DOI: 10.1002/mdc3.13984] [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: 01/05/2024] [Accepted: 01/15/2024] [Indexed: 03/13/2024] Open
Abstract
Genetic testing, including whole genome, whole exome, and other next-generation sequencing technologies, has evolved vastly in the past decade. With this, the number of identified genes and genetic variants is constantly increasing. Although a variety of databases and online tools exist that summarize, categorize, and classify genes, a clear guideline of which information is needed when reporting a gene and what to do when identifying a new gene is lacking. This includes the correct nomenclature, descriptive information about genetic loci and genetic variation, aliases, and correlated phenotypes. This tutorial is meant to serve as an introduction to reporting genes in a paper and provides an overview of available databases and tools to obtain all necessary information on the genes of interest.
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Affiliation(s)
- Carolin Gabbert
- Institute of Neurogenetics, University of LübeckLübeckGermany
| | - Christine Klein
- Institute of Neurogenetics, University of LübeckLübeckGermany
| | - Joanne Trinh
- Institute of Neurogenetics, University of LübeckLübeckGermany
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8
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Abdulkareem AA, Shirah BH, Bagabir HA, Haque A, Naseer MI. Whole exome sequencing of a novel homozygous missense variant in PALB2 gene leading to Fanconi anaemia complementation group. Biomed Rep 2024; 20:67. [PMID: 38476606 PMCID: PMC10928473 DOI: 10.3892/br.2024.1756] [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: 11/30/2023] [Accepted: 01/31/2024] [Indexed: 03/14/2024] Open
Abstract
Partner and localiser of BRCA2 (PALB2), also known as FANCN, is a key tumour suppressor gene in maintaining genome integrity. Monoallelic mutations of PALB2 are associated with breast and overian cancers, while bi-allelic mutations cause Fanconi anaemia (FA). In the present study, whole exome sequencing (WES) identified a novel homozygous missense variant, NM_024675.3: c.3296C>G (p.Thr1099Arg) in PALB2 gene (OMIM: 610355) that caused FA with mild pulmonary valve stenosis and dysmorphic and atypical features, including lymphangiectasia, non-immune hydrops fetalis and right-sided pleural effusion in a preterm female baby. WES results were further validated by Sanger sequencing. WES improves the screening and detection of novel and causative genetic variants to improve management of disease. To the best of our knowledge, the present study is the first reported FA case in a Saudi family with phenotypic atypical FA features. The results support the role of PALB2 gene and pathogenic variants that may cause clinical presentation of FA. Furthermore, the present results may establish a disease database, providing a groundwork for understanding the key genomic regions to control diseases resulting from consanguinity.
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Affiliation(s)
- Angham Abdulrhman Abdulkareem
- Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Faculty of Science, Department of Biochemistry, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Bader H. Shirah
- Department of Neuroscience, King Faisal Specialist Hospital and Research Centre, Jeddah 11211, Saudi Arabia
| | - Hala Abubaker Bagabir
- Department of Physiology, Faculty of Medicine, King Abdulaziz University, Rabigh 25732, Saudi Arabia
| | - Absarul Haque
- King Fahd Medical Research Centre, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Muhammad Imran Naseer
- Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia
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9
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Sparling BA, Ng TT, Carlo-Allende A, McCarthy FM, Taylor RL, Drechsler Y. Immunoglobulin-like receptors in chickens: identification, functional characterization, and renaming to cluster homolog of immunoglobulin-like receptors. Poult Sci 2024; 103:103292. [PMID: 38100950 PMCID: PMC10764270 DOI: 10.1016/j.psj.2023.103292] [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: 09/12/2023] [Revised: 11/09/2023] [Accepted: 11/13/2023] [Indexed: 12/17/2023] Open
Abstract
The cluster homolog of immunoglobulin-like receptors (CHIRs), previously known as the "chicken homolog of immunogloublin-like receptors," represents is a large group of transmembrane glycoproteins that direct the immune response. However, the full repertoire of putatively activating, inhibitory, or dual function CHIRA, CHIRB, and CHIRAB on chickens' immune responses is poorly understood. Herein, the study objective was to determine the genes encoding CHIR proteins and predict their function by searching canonical protein structure. A bioinformatics pipeline based on previous work was employed to search for the CHIRs from the newly updated broiler and layer genomes. The categorization into CHIRA, CHIRB, and CHIRAB types was assigned through motif searches, multiple sequence alignment, and phylogeny. In total, 150 protein-encoding genes on Chromosome 31 were identified as CHIRs. Gene members of each functional group (CHIRA, CHIRB, CHIRAB) were classified in accordance with previously recognized proteins. The genes were renamed to "cluster homolog of immunoglobulin-like receptors" (CHIRs) to allow for the naming of orthologous genes in other avian species. Additionally, expression analysis of the classified CHIRs across various reinforces their importance as immune regulators and activation in inflammatory tissues. Furthermore, over 1,000 diverse and rare CHIRs variants associated with differential Marek's disease response (P < 0.05) emphasize the impact of CHIRs on shaping avian immune responses in diverse contexts. The practical applications of these findings encompass advancing immunology, improving poultry health management, optimizing breeding programs for disease resistance, and enhancing overall animal health through a deeper understanding of the roles and functions of CHIRA, CHIRB, and CHIRAB types in avian immune responses.
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Affiliation(s)
- Brandi A Sparling
- College of Veterinary Medicine, Western University of Health Sciences, Pomona, CA 91766, USA; Division of Animal and Nutritional Sciences, West Virginia University, Morgantown, WV 26506, USA
| | - Theros T Ng
- College of Veterinary Medicine, Western University of Health Sciences, Pomona, CA 91766, USA
| | - Anaid Carlo-Allende
- College of Veterinary Medicine, Western University of Health Sciences, Pomona, CA 91766, USA
| | - Fiona M McCarthy
- School of Animal and Comparative Biomedical Sciences, University of Arizona, Tucson, AZ 85721, USA
| | - Robert L Taylor
- Division of Animal and Nutritional Sciences, West Virginia University, Morgantown, WV 26506, USA
| | - Yvonne Drechsler
- College of Veterinary Medicine, Western University of Health Sciences, Pomona, CA 91766, USA; Division of Animal and Nutritional Sciences, West Virginia University, Morgantown, WV 26506, USA.
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10
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Lee WK, Chan BKK, Kim JY, Ju SJ, Kim SJ. Comparative genomics reveals the dynamic evolutionary history of cement protein genes of barnacles from intertidal to deep-sea hydrothermal vents. Mol Ecol Resour 2024; 24:e13895. [PMID: 37955198 DOI: 10.1111/1755-0998.13895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 10/16/2023] [Accepted: 10/30/2023] [Indexed: 11/14/2023]
Abstract
Thoracican barnacles are a diverse group of marine organisms for which the availability of genome assemblies is currently limited. In this study, we sequenced the genomes of two neolepadoid species (Ashinkailepas kermadecensis, Imbricaverruca yamaguchii) from hydrothermal vents, in addition to two intertidal species. Genome sizes ranged from 481 to 1054 Mb, with repetitive sequence contents of 21.2% to 50.7%. Concordance rates of orthologs and heterozygosity rates were between 82.4% and 91.7% and between 1.0% and 2.1%, respectively, indicating high genetic diversity and heterozygosity. Based on phylogenomic analyses, we revised the nomenclature of cement genes encoding cement proteins that are not homologous to any known proteins. The major cement gene, CP100A, was found in all thoracican species, including vent-associated neolepadoids, and was hypothesised to be essential for thoracican settlement. Duplicated genes, CP100B and CP100C, were found only in balanids, suggesting potential functional redundancy or acquisition of new functions associated with the calcareous base. An ancestor of CP52 genes was duplicated dynamically among lepadids, pollicipedids with multiple copies on a single scaffold, and balanids with multiple sequential repeats of the conserved regions, but no CP52 genes were found in neolepadoids, providing insights into cement gene evolution among thoracican lineages. This study enhances our understanding of the adhesion mechanisms of thoracicans in underwater environments. The newly sequenced genomes provide opportunities for studying their evolution and ecology, shedding light on their adaptation to diverse marine environments, and contributing to our knowledge of barnacle biology with valuable genomic resources for further studies in this field.
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Affiliation(s)
- Won-Kyung Lee
- Division of Biomedical Research, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Korea
- Division of EcoScience, Ewha Womans University, Seoul, Korea
| | - Benny K K Chan
- Biodiversity Research Center, Academia Sinica, Taipei, Taiwan
| | - Jae-Yoon Kim
- Division of Biomedical Research, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Korea
| | - Se-Jong Ju
- Marine Resources & Environment Research Division, Korea Institute of Ocean Science and Technology, Busan, Korea
| | - Se-Joo Kim
- Division of Biomedical Research, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Korea
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11
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Amahong K, Zhang W, Liu Y, Li T, Huang S, Han L, Tao L, Zhu F. RVvictor: Virus RNA-directed molecular interactions for RNA virus infection. Comput Biol Med 2024; 169:107886. [PMID: 38157777 DOI: 10.1016/j.compbiomed.2023.107886] [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: 08/06/2023] [Revised: 12/14/2023] [Accepted: 12/18/2023] [Indexed: 01/03/2024]
Abstract
RNA viruses are major human pathogens that cause seasonal epidemics and occasional pandemic outbreaks. Due to the nature of their RNA genomes, it is anticipated that virus's RNA interacts with host protein (INTPRO), messenger RNA (INTmRNA), and non-coding RNA (INTncRNA) to perform their particular functions during their transcription and replication. In other words, thus, it is urgently needed to have such valuable data on virus RNA-directed molecular interactions (especially INTPROs), which are highly anticipated to attract broad research interests in the fields of RNA virus translation and replication. In this study, a new database was constructed to describe the virus RNA-directed interaction (INTPRO, INTmRNA, INTncRNA) for RNA virus (RVvictor). This database is unique in a) unambiguously characterizing the interactions between viruses RNAs and host proteins, b) providing, for the first time, the most systematic RNA-directed interaction data resources in providing clues to understand the molecular mechanisms of RNA viruses' translation, and replication, and c) in RVvictor, comprehensive enrichment analysis is conducted for each virus RNA based on its associated target genes/proteins, and the enrichment results were explicitly illustrated using various graphs. We found significant enrichment of a suite of pathways related to infection, translation, and replication, e.g., HIV infection, coronavirus disease, regulation of viral genome replication, and so on. Due to the devastating and persistent threat posed by the RNA virus, RVvictor constructed, for the first time, a possible network of cross-talk in RNA-directed interaction, which may ultimately explain the pathogenicity of RNA virus infection. The knowledge base might help develop new anti-viral therapeutic targets in the future. It's now free and publicly accessible at: https://idrblab.org/rvvictor/.
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Affiliation(s)
- Kuerbannisha Amahong
- College of Pharmaceutical Sciences, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310058, China; Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou, 330110, China
| | - Wei Zhang
- College of Pharmaceutical Sciences, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310058, China; Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou, 330110, China
| | - Yuhong Liu
- Key Laboratory of Elemene Class Anti-cancer Chinese Medicines, School of Pharmacy, Hangzhou Normal University, Hangzhou, 311121, China
| | - Teng Li
- College of Pharmaceutical Sciences, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310058, China
| | - Shijie Huang
- College of Pharmaceutical Sciences, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310058, China; Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou, 330110, China
| | - Lianyi Han
- Greater Bay Area Institute of Precision Medicine (Guangzhou), School of Life Sciences, Fudan University, Shanghai, 315211, China.
| | - Lin Tao
- Key Laboratory of Elemene Class Anti-cancer Chinese Medicines, School of Pharmacy, Hangzhou Normal University, Hangzhou, 311121, China.
| | - Feng Zhu
- College of Pharmaceutical Sciences, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310058, China; Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou, 330110, China.
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12
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Luk CYM, Lee SA, Naidovski N, Liu F, Tay ACY, Wang L, Riordan S, Zhang L. Investigation of Campylobacter concisus gastric epithelial pathogenicity using AGS cells. Front Microbiol 2024; 14:1289549. [PMID: 38274743 PMCID: PMC10808343 DOI: 10.3389/fmicb.2023.1289549] [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: 09/06/2023] [Accepted: 12/19/2023] [Indexed: 01/27/2024] Open
Abstract
Campylobacter concisus is an oral bacterium. Recent studies suggest that C. concisus may be involved in human gastric diseases. The mechanisms, however, by which C. concisus causes human gastric diseases have not been investigated. Here we examined the gastric epithelial pathogenicity of C. concisus using a cell culture model. Six C. concisus strains and the human gastric epithelial cell line AGS cells were used. IL-8 produced by AGS cells after incubation with C. concisus was measured using enzyme-linked immunosorbent assay (ELISA), and AGS cell apoptosis was determined by caspase 3/7 activities. The effects of C. concisus on actin arrangement in AGS cells was determined using fluorescence staining. The effects of C. concisus on global gene expression in AGS cells was determined by transcriptomic analysis and quantitative real-time PCR (qRT-PCR). The role of the upregulated CYP1A1 gene in gastric cancer survival was assessed using the Kaplan-Meier method. C. concisus induced production of IL-8 by AGS cells with strain variation. Significantly increased caspase 3/7 activities were observed in AGS cells incubated with C. concisus strains when compared to AGS cells without bacteria. C. concisus induced actin re-arrangement in AGS cells. C. concisus upregulated 30 genes in AGS cells and the upregulation of CYP1A1 gene was confirmed by qRT-PCR. The Kaplan-Meier analysis showed that upregulation of CYP1A1 gene is associated with worse survival in gastric cancer patients. Our findings suggest that C. concisus may play a role in gastric inflammation and the progression of gastric cancer. Further investigation in clinical studies is warranted.
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Affiliation(s)
- Christopher Yau Man Luk
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Seul A. Lee
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Nicholas Naidovski
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Fang Liu
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Alfred Chin Yen Tay
- Helicobacter Research Laboratory, School of Pathology and Laboratory Medicine, Marshall Centre for Infectious Diseases Research and Training, University of Western Australia, Perth, WA, Australia
| | - Liang Wang
- Laboratory Medicine, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
- The Center for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
- Department of Medical Informatics, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Stephen Riordan
- Gastrointestinal and Liver Unit, Prince of Wales Hospital, University of New South Wales, Sydney, NSW, Australia
| | - Li Zhang
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
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13
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Mórotz GM, Bradbury NA, Caluseriu O, Hisanaga SI, Miller CCJ, Swiatecka-Urban A, Lenz HJ, Moss SJ, Giamas G. A revised nomenclature for the lemur family of protein kinases. Commun Biol 2024; 7:57. [PMID: 38191649 PMCID: PMC10774328 DOI: 10.1038/s42003-023-05671-8] [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: 08/25/2023] [Accepted: 12/04/2023] [Indexed: 01/10/2024] Open
Abstract
The lemur family of protein kinases has gained much interest in recent years as they are involved in a variety of cellular processes including regulation of axonal transport and endosomal trafficking, modulation of synaptic functions, memory and learning, and they are centrally placed in several intracellular signalling pathways. Numerous studies have also implicated role of the lemur kinases in the development and progression of a wide range of cancers, cystic fibrosis, and neurodegenerative diseases. However, parallel discoveries and inaccurate prediction of their kinase activity have resulted in a confusing and misleading nomenclature of these proteins. Herein, a group of international scientists with expertise in lemur family of protein kinases set forth a novel nomenclature to rectify this problem and ultimately help the scientific community by providing consistent information about these molecules.
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Affiliation(s)
- Gábor M Mórotz
- Department of Pharmacology and Pharmacotherapy, Semmelweis University, 1089, Budapest, Hungary.
| | - Neil A Bradbury
- Department of Physiology and Biophysics, Chicago Medical School, North Chicago, IL, 60064, USA
| | - Oana Caluseriu
- Department of Medical Genetics, University of Alberta Hospital, Edmonton, AB, T6G 2H7, Canada
| | - Shin-Ichi Hisanaga
- Laboratory of Molecular Neuroscience, Department of Biological Sciences, Graduate School of Science, Tokyo Metropolitan University, Minami-Osawa, Hachioji, Tokyo, 92-0397, Japan
| | - Christopher C J Miller
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 9RX, UK
| | - Agnieszka Swiatecka-Urban
- Department of Pediatrics, University of Virginia School of Medicine, Charlottesville, VA, 22903, USA
| | - Heinz-Josef Lenz
- Department of Medicine, University of Southern California/Norris Comprehensive Cancer Centre, Los Angeles, CA, 90033, USA
| | - Stephen J Moss
- Department of Neuroscience, Tufts University School of Medicine, Boston, MA, 02111, USA
- Department of Neuroscience, Physiology and Pharmacology, University College London, London, WC1 6BT, UK
| | - Georgios Giamas
- Department of Biochemistry and Biomedicine, School of Life Sciences, University of Sussex, Brighton, BN1 9QG, UK.
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14
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Kwon S, Safer J, Nguyen DT, Hoksza D, May P, Arbesfeld JA, Rubin AF, Campbell AJ, Burgin A, Iqbal S. Genomics 2 Proteins portal: A resource and discovery tool for linking genetic screening outputs to protein sequences and structures. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.02.573913. [PMID: 38260256 PMCID: PMC10802383 DOI: 10.1101/2024.01.02.573913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Recent advances in AI-based methods have revolutionized the field of structural biology. Concomitantly, high-throughput sequencing and functional genomics technologies have enabled the detection and generation of variants at an unprecedented scale. However, efficient tools and resources are needed to link these two disparate data types - to "map" variants onto protein structures, to better understand how the variation causes disease and thereby design therapeutics. Here we present the Genomics 2 Proteins Portal (G2P; g2p.broadinstitute.org/): a human proteome-wide resource that maps 19,996,443 genetic variants onto 42,413 protein sequences and 77,923 structures, with a comprehensive set of structural and functional features. Additionally, the G2P portal generalizes the capability of linking genomics to proteins beyond databases by allowing users to interactively upload protein residue-wise annotations (variants, scores, etc.) as well as the protein structure to establish the connection. The portal serves as an easy-to-use discovery tool for researchers and scientists to hypothesize the structure-function relationship between natural or synthetic variations and their molecular phenotype.
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15
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Baden T, Briseño J, Coffing G, Cohen-Bodénès S, Courtney A, Dickerson D, Dölen G, Fiorito G, Gestal C, Gustafson T, Heath-Heckman E, Hua Q, Imperadore P, Kimbara R, Król M, Lajbner Z, Lichilín N, Macchi F, McCoy MJ, Nishiguchi MK, Nyholm SV, Otjacques E, Pérez-Ferrer PA, Ponte G, Pungor JR, Rogers TF, Rosenthal JJC, Rouressol L, Rubas N, Sanchez G, Santos CP, Schultz DT, Seuntjens E, Songco-Casey JO, Stewart IE, Styfhals R, Tuanapaya S, Vijayan N, Weissenbacher A, Zifcakova L, Schulz G, Weertman W, Simakov O, Albertin CB. Cephalopod-omics: Emerging Fields and Technologies in Cephalopod Biology. Integr Comp Biol 2023; 63:1226-1239. [PMID: 37370232 PMCID: PMC10755191 DOI: 10.1093/icb/icad087] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 06/09/2023] [Accepted: 06/13/2023] [Indexed: 06/29/2023] Open
Abstract
Few animal groups can claim the level of wonder that cephalopods instill in the minds of researchers and the general public. Much of cephalopod biology, however, remains unexplored: the largest invertebrate brain, difficult husbandry conditions, and complex (meta-)genomes, among many other things, have hindered progress in addressing key questions. However, recent technological advancements in sequencing, imaging, and genetic manipulation have opened new avenues for exploring the biology of these extraordinary animals. The cephalopod molecular biology community is thus experiencing a large influx of researchers, emerging from different fields, accelerating the pace of research in this clade. In the first post-pandemic event at the Cephalopod International Advisory Council (CIAC) conference in April 2022, over 40 participants from all over the world met and discussed key challenges and perspectives for current cephalopod molecular biology and evolution. Our particular focus was on the fields of comparative and regulatory genomics, gene manipulation, single-cell transcriptomics, metagenomics, and microbial interactions. This article is a result of this joint effort, summarizing the latest insights from these emerging fields, their bottlenecks, and potential solutions. The article highlights the interdisciplinary nature of the cephalopod-omics community and provides an emphasis on continuous consolidation of efforts and collaboration in this rapidly evolving field.
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Affiliation(s)
- Tom Baden
- School of Life Sciences, University of Sussex, Brighton BN1 9QG, UK
| | - John Briseño
- Molecular and Cell Biology Department, University of Connecticut, Storrs, CT 06269, USA
| | - Gabrielle Coffing
- Biology Department: Institute of Ecology and Evolution, University of Oregon, Eugene, OR 97403-5289, USA
| | - Sophie Cohen-Bodénès
- Laboratoire des Systèmes Perceptifs, Département d'Etudes Cognitives, Ecole Normale Supérieure, PSL University, CNRS, 75005 Paris, France
| | - Amy Courtney
- MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, UK
| | - Dominick Dickerson
- Friday Harbor Laboratory, University of Washington, Seattle, WA 98250, USA
| | - Gül Dölen
- Department of Neuroscience, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Graziano Fiorito
- Department of Biology and Evolution of Marine Organisms, Stazione Zoologica Anton Dohrn, 80121 Napoli, Italy
| | - Camino Gestal
- Laboratory of Marine Molecular Pathobiology, Institute of Marine Research (IIM), Spanish National Research Council (CSIC), Vigo 36208, Spain
| | | | - Elizabeth Heath-Heckman
- Departments of Integrative Biology and Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI 48824, USA
| | - Qiaz Hua
- Department of Ecology and Evolution, University of Adelaide, Adelaide, South Australia 5000, Australia
| | - Pamela Imperadore
- Department of Biology and Evolution of Marine Organisms, Stazione Zoologica Anton Dohrn, 80121 Napoli, Italy
| | - Ryosuke Kimbara
- Misaki Marine Biological Station, School of Science, The University of Tokyo, Miura, Kanagawa 238-0225, Japan
| | - Mirela Król
- Adam Mickiewicz University in Poznań, Poznań 61-712, Poland
| | - Zdeněk Lajbner
- Physics and Biology Unit, Okinawa Institute of Science and Technology Graduate University, 1919-1 Tancha, Onna, Kunigami District, Okinawa 904-0495, Japan
| | - Nicolás Lichilín
- Department of Neurosciences and Developmental Biology, University of Vienna, Vienna 1010, Austria
| | - Filippo Macchi
- Program in Biology, New York University Abu Dhabi, P.O. Box 129188 Abu Dhabi, United Arab Emirates
| | - Matthew J McCoy
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Michele K Nishiguchi
- Department of Molecular and Cell Biology, School of Natural Sciences, University of California, Merced, 5200 N. Lake Blvd., Merced, CA 95343, USA
| | - Spencer V Nyholm
- Molecular and Cell Biology Department, University of Connecticut, Storrs, CT 06269, USA
| | - Eve Otjacques
- MARE—Marine and Environmental Sciences Centre & ARNET—Aquatic Research Network, Laboratório Marítimo da Guia, Faculdade de Ciências, Universidade de Lisboa, Av. Nossa Senhora do Cabo, 939, 2750-374 Cascais, Portugal
- Division of Biosphere Sciences and Engineering, Carnegie Institution for Science, 1200 E. California Blvd, Pasadena, CA 91125, USA
| | - Pedro Antonio Pérez-Ferrer
- Department of Molecular and Cell Biology, School of Natural Sciences, University of California, Merced, 5200 N. Lake Blvd., Merced, CA 95343, USA
| | - Giovanna Ponte
- Department of Biology and Evolution of Marine Organisms, Stazione Zoologica Anton Dohrn, 80121 Napoli, Italy
| | - Judit R Pungor
- Biology Department: Institute of Ecology and Evolution, University of Oregon, Eugene, OR 97403-5289, USA
| | - Thea F Rogers
- Department of Neurosciences and Developmental Biology, University of Vienna, Vienna 1010, Austria
| | - Joshua J C Rosenthal
- Marine Biological Laboratory, The Eugene Bell Center for Regenerative Biology and Tissue Engineering, Woods Hole, MA 02543-1015, USA
| | - Lisa Rouressol
- Department of Neurosciences and Developmental Biology, University of Vienna, Vienna 1010, Austria
| | - Noelle Rubas
- Department of Molecular Biosciences and Bioengineering, University of Hawaii Manoa, Honolulu, HI 96822, USA
| | - Gustavo Sanchez
- Molecular Genetics Unit, Okinawa Institute of Science and Technology Graduate University, Onna, Okinawa 904-0495, Japan
| | - Catarina Pereira Santos
- MARE—Marine and Environmental Sciences Centre & ARNET—Aquatic Research Network, Laboratório Marítimo da Guia, Faculdade de Ciências, Universidade de Lisboa, Av. Nossa Senhora do Cabo, 939, 2750-374 Cascais, Portugal
| | - Darrin T Schultz
- Department of Neurosciences and Developmental Biology, University of Vienna, Vienna 1010, Austria
| | - Eve Seuntjens
- Laboratory of Developmental Neurobiology, Department of Biology, KU Leuven, Leuven 3000, Belgium
| | - Jeremea O Songco-Casey
- Biology Department: Institute of Ecology and Evolution, University of Oregon, Eugene, OR 97403-5289, USA
| | - Ian Erik Stewart
- Neural Circuits and Behaviour Lab, Max‐Delbrück‐Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin 13125, Germany
| | - Ruth Styfhals
- Laboratory of Developmental Neurobiology, Department of Biology, KU Leuven, Leuven 3000, Belgium
| | - Surangkana Tuanapaya
- Laboratory of genetics and applied breeding of molluscs, Fisheries College, Ocean University of China, Qingdao 266100, China
| | - Nidhi Vijayan
- Molecular and Cell Biology Department, University of Connecticut, Storrs, CT 06269, USA
| | | | - Lucia Zifcakova
- Physics and Biology Unit, Okinawa Institute of Science and Technology Graduate University, 1919-1 Tancha, Onna, Kunigami District, Okinawa 904-0495, Japan
| | | | - Willem Weertman
- Friday Harbor Laboratory, University of Washington, Seattle, WA 98250, USA
| | - Oleg Simakov
- Department of Neurosciences and Developmental Biology, University of Vienna, Vienna 1010, Austria
| | - Caroline B Albertin
- Marine Biological Laboratory, The Eugene Bell Center for Regenerative Biology and Tissue Engineering, Woods Hole, MA 02543-1015, USA
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16
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Jiang W, Wang PY, Zhou Q, Lin QT, Yao Y, Huang X, Tan X, Yang S, Ye W, Yang Y, Bao YJ. Tri©DB: an integrated platform of knowledgebase and reporting system for cancer precision medicine. J Transl Med 2023; 21:885. [PMID: 38057859 PMCID: PMC10702018 DOI: 10.1186/s12967-023-04773-5] [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: 10/19/2023] [Accepted: 11/28/2023] [Indexed: 12/08/2023] Open
Abstract
BACKGROUND With the development of cancer precision medicine, a huge amount of high-dimensional cancer information has rapidly accumulated regarding gene alterations, diseases, therapeutic interventions and various annotations. The information is highly fragmented across multiple different sources, making it highly challenging to effectively utilize and exchange the information. Therefore, it is essential to create a resource platform containing well-aggregated, carefully mined, and easily accessible data for effective knowledge sharing. METHODS In this study, we have developed "Consensus Cancer Core" (Tri©DB), a new integrative cancer precision medicine knowledgebase and reporting system by mining and harmonizing multifaceted cancer data sources, and presenting them in a centralized platform with enhanced functionalities for accessibility, annotation and analysis. RESULTS The knowledgebase provides the currently most comprehensive information on cancer precision medicine covering more than 40 annotation entities, many of which are novel and have never been explored previously. Tri©DB offers several unique features: (i) harmonizing the cancer-related information from more than 30 data sources into one integrative platform for easy access; (ii) utilizing a variety of data analysis and graphical tools for enhanced user interaction with the high-dimensional data; (iii) containing a newly developed reporting system for automated annotation and therapy matching for external patient genomic data. Benchmark test indicated that Tri©DB is able to annotate 46% more treatments than two officially recognized resources, oncoKB and MCG. Tri©DB was further shown to have achieved 94.9% concordance with administered treatments in a real clinical trial. CONCLUSIONS The novel features and rich functionalities of the new platform will facilitate full access to cancer precision medicine data in one single platform and accommodate the needs of a broad range of researchers not only in translational medicine, but also in basic biomedical research. We believe that it will help to promote knowledge sharing in cancer precision medicine. Tri©DB is freely available at www.biomeddb.org , and is hosted on a cutting-edge technology architecture supporting all major browsers and mobile handsets.
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Affiliation(s)
- Wei Jiang
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan, 430062, China
| | - Peng-Ying Wang
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan, 430062, China
| | - Qi Zhou
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan, 430062, China
| | - Qiu-Tong Lin
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan, 430062, China
| | - Yao Yao
- Wuxi Shengrui Bio-Pharmaceuticals Co., Ltd, Wuxi, 214174, Jiangsu, China
| | - Xun Huang
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan, 430062, China
| | - Xiaoming Tan
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan, 430062, China
| | - Shihui Yang
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan, 430062, China
| | - Weicai Ye
- School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, 510000, China
- Guangdong Province Key Laboratory of Computational Science, and National Engineering Laboratory for Big Data Analysis and Application, Sun Yat-Sen University, Guangzhou, 510000, China
| | - Yuedong Yang
- School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, 510000, China.
| | - Yun-Juan Bao
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan, 430062, China.
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17
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Li JP, Liu YJ, Yin Y, Li RN, Huang W, Zou X. Stroma-associated FSTL3 is a factor of calcium channel-derived tumor fibrosis. Sci Rep 2023; 13:21317. [PMID: 38044354 PMCID: PMC10694158 DOI: 10.1038/s41598-023-48574-8] [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: 07/26/2023] [Accepted: 11/28/2023] [Indexed: 12/05/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is the most widespread histological form of primary liver cancer, and it faces great diagnostic and therapeutic difficulties owing to its tumor diversity. Herein, we aim to establish a unique prognostic molecular subtype (MST) and based on this to find potential therapeutic targets to develop new immunotherapeutic strategies. Using calcium channel molecules expression-based consensus clustering, we screened 371 HCC patients from The Cancer Genome Atlas to screen for possible MSTs. We distinguished core differential gene modules between varying MSTs, and Tumor Immune Dysfunction and Exclusion scores were employed for the reliable assessment of HCC patient immunotherapeutic response rate. Immunohistochemistry and Immunofluorescence staining were used for validation of predicted immunotherapy outcomes and underlying biological mechanisms, respectively. We identified two MSTs with different clinical characteristics and prognoses. Based on the significant differences between the two MSTs, we further identified Follistatin-like 3 (FSTL3) as a potential indicator of immunotherapy resistance and validated this result in our own cohort. Finally, we found that FSTL3 is predominantly expressed in HCC stromal components and that it is a factor in enhancing fibroblast-M2 macrophage signaling crosstalk, the function of which is relevant to the pathogenesis of HCC. The presence of two MSTs associated with the calcium channel phenotype in HCC patients may provide promising directions for overcoming immunotherapy resistance in HCC, and the promotion of FSTL3 expressed in stromal components for HCC hyperfibrosis may be responsible for the poor response rate to immunotherapy in Cluster 2 (C2) patients.
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Affiliation(s)
- Jie-Pin Li
- Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, Jiangsu, China
- Key Laboratory of Tumor System Biology of Traditional Chinese Medicine, Nanjing, 210029, Jiangsu, China
- No. 1 Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, China
| | - Yuan-Jie Liu
- Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, Jiangsu, China
- No. 1 Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, China
| | - Yi Yin
- Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, Jiangsu, China
- No. 1 Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, China
| | - Ruo-Nan Li
- Shihezi Labor Personnel Dispute Arbitration Committee, Shihezi, 832000, China
| | - Wei Huang
- Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, Jiangsu, China.
- No. 1 Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, China.
| | - Xi Zou
- Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, Jiangsu, China.
- No. 1 Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, China.
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumor, Nanjing, 210023, China.
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18
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Azmi MB, Ahmed A, Ahmed TF, Imtiaz F, Asif U, Zaman U, Khan KA, Sherwani AK. Transcript-Level In Silico Analysis of Alzheimer's Disease-Related Gene Biomarkers and Their Evaluation with Bioactive Flavonoids to Explore Therapeutic Interactions. ACS OMEGA 2023; 8:40695-40712. [PMID: 37929088 PMCID: PMC10621018 DOI: 10.1021/acsomega.3c05769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Accepted: 09/25/2023] [Indexed: 11/07/2023]
Abstract
Alzheimer's disease (AD) is a progressive brain disorder that can significantly affect the quality of life. We used a variety of in silico tools to investigate the transcript-level mutational impact of exonic missense rare variations (single nucleotide polymorphisms, SNPs) on protein function and to identify potential druggable protein cavities that correspond to potential therapeutic targets for the management of AD. According to the NIA-AA (National Institute on Aging-Alzheimer's Association) framework, we selected three AD biomarker genes (APP, NEFL, and MAPT). We systematically screened transcript-level exonic rare SNPs from these genes with a minor allele frequency of 1% in 1KGD (1000 Genomes Project Database) and gnomAD (Genome Aggregation Database). With downstream functional effect predictions, a single variation (rs182024939: K > N) of the MAPT gene with nine transcript SNPs was identified as the most pathogenic variation from the large dataset of mutations. The machine learning consensus classifier predictor categorized these transcript-level SNPs as the most deleterious variations, resulting in a large decrease in protein structural stability (ΔΔG kcal/mol). The bioactive flavonoid library was screened for drug-likeness and toxicity risk. Virtual screening of eligible flavonoids was performed using the MAPT protein. Identification of druggable protein-binding cavities showed VAL305, GLU655, and LYS657 as consensus-interacting residues present in the MAPT-docked top-ranked flavonoid compounds. The MM/PB(GB)SA analysis indicated hesperetin (-5.64 kcal/mol), eriodictyol (-5.63 kcal/mol), and sakuranetin (-5.60 kcal/mol) as the best docked flavonoids with the near-native binding pose. The findings of this study provide important insights into the potential of hesperetin as a promising flavonoid that can be utilized for further rational drug design and lead optimization to open new gateways in the field of AD therapeutics.
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Affiliation(s)
- Muhammad Bilal Azmi
- Department
of Biochemistry, Dow Medical College, Dow
University of Health Sciences, Karachi 74400, Pakistan
| | - Affan Ahmed
- Dow
Medical College, Dow University of Health
Sciences, Karachi 74400, Pakistan
| | - Tehniat Faraz Ahmed
- Department
of Biochemistry, Dow International Dental College, Dow University of Health Sciences, Karachi 75460, Pakistan
| | - Fauzia Imtiaz
- Department
of Biochemistry, Dow Medical College, Dow
University of Health Sciences, Karachi 74400, Pakistan
| | - Uzma Asif
- Department
of Biochemistry, Medicine Program, Batterjee
Medical College, Jeddah 21442, Saudi Arabia
| | - Uzma Zaman
- Department
of Biochemistry, Dow International Medical College, Dow University of Health Sciences, Karachi 74200, Pakistan
| | - Khalid Ali Khan
- Unit of Bee
Research and Honey Production, Research Center for Advanced Materials
Science (RCAMS), King Khalid University, P.O. Box 9004, Abha 61413, Saudi Arabia
- Applied
College, King Khalid University, P.O. Box 9004, Abha 61413, Saudi Arabia
| | - Asif Khan Sherwani
- Research
and Development Unit, Jamjoom Pharmaceuticals
Co. Ltd, Jeddah 21442, Saudi Arabia
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19
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Schramm A, Raidt J, Gross A, Böhmer M, Beule AG, Omran H. Molecular defects in primary ciliary dyskinesia are associated with agenesis of the frontal and sphenoid paranasal sinuses and chronic rhinosinusitis. Front Mol Biosci 2023; 10:1258374. [PMID: 37860582 PMCID: PMC10584328 DOI: 10.3389/fmolb.2023.1258374] [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: 07/13/2023] [Accepted: 09/15/2023] [Indexed: 10/21/2023] Open
Abstract
Background: Primary ciliary dyskinesia (PCD; MIM 242650) is a rare genetic disorder characterized by malfunction of the motile cilia resulting in reduced mucociliary clearance of the airways. Together with recurring infections of the lower respiratory tract, chronic rhinosinusitis (CRS) is a hallmark symptom of PCD. Data on genotype-phenotype correlations in the upper airways are scarce. Materials and methods: We investigated the prevalence, radiologic severity, and impact on health-related quality of life (HrQoL) of CRS in 58 individuals with genetically confirmed PCD. Subgroup analysis was performed according to the predicted ultrastructural phenotype based on genetic findings. Results: Among 58 individuals harboring pathogenic variants in 22 distinct genes associated with PCD, all were diagnosed with CRS, and 47% underwent sinus surgery. A total of 36 individuals answered a German-adapted version of the 20-item Sinonasal Outcome Test (SNOT-20-GAV) with a mean score of 35.8 ± 17, indicating a remarkably reduced HrQoL. Paranasal sinus imaging of 36 individuals showed moderate-to-severe opacification with an elevated Lund-Mackay Score (LMS) of 10.2 ± 4.4. Bilateral agenesis of frontal sinus (19%) and sphenoid sinus (9.5%) was a frequent finding in individuals aged 16 years or older. Subgroup analysis for predicted ultrastructural phenotypes did not identify differences in HrQoL, extent of sinus opacification, or frequency of aplastic paranasal sinuses. Conclusion: PCD is strongly associated with CRS. The high burden of disease is indicated by decreased HrQoL. Therefore, the upper airways of PCD individuals should be evaluated and managed by ear-nose-throat (ENT) specialists. Genetically determined PCD groups with predicted abnormal versus (near) normal ultrastructure did not differ in disease severity. Further studies are needed to gain evidence-based knowledge of the phenotype and management of upper airway manifestations in PCD. In addition, individuals with agenesis of the frontal and sphenoid paranasal sinuses and chronic respiratory symptoms should be considered for a diagnostic evaluation of PCD.
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Affiliation(s)
- Andre Schramm
- Department of General Pediatrics, University Hospital Muenster, Muenster, Germany
| | - Johanna Raidt
- Department of General Pediatrics, University Hospital Muenster, Muenster, Germany
| | - Anika Gross
- Department of General Pediatrics, University Hospital Muenster, Muenster, Germany
| | - Maik Böhmer
- Clinic for Radiology, University Hospital Muenster, Muenster, Germany
| | - Achim Georg Beule
- Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Muenster, Muenster, Germany
| | - Heymut Omran
- Department of General Pediatrics, University Hospital Muenster, Muenster, Germany
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20
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Seidel F, Kappenberg F, Fayyaz S, Scholtz-Illigens A, Cherianidou A, Derksen K, Nell P, Marchan R, Edlund K, Leist M, Sachinidis A, Rahnenführer J, Kreiling R, Hengstler JG. Risk assessment of parabens in a transcriptomics-based in vitro test. Chem Biol Interact 2023; 384:110699. [PMID: 37690743 DOI: 10.1016/j.cbi.2023.110699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 09/07/2023] [Indexed: 09/12/2023]
Abstract
Parabens have been used for decades as preservatives in food, drugs and cosmetics. The majority however, were banned in 2009 and 2014 leaving only methyl-, ethyl-, propyl-, and butyl-derivates available for subsequent use. Methyl- and propylparaben have been extensively tested in vivo, with no resulting evidence for developmental and reproductive toxicity (DART). In contrast, ethylparaben has not yet been tested for DART in animal experiments, and it is currently debated if additional animal studies are warranted. In order to perform a comparison of the four currently approved parabens, we used a previously established in vitro test based on human induced pluripotent stem cells (iPSC) that are exposed to test substances during their differentiation to neuroectodermal cells. EC50 values for cytotoxicity were 906 μM, 698 μM, 216 μM and 63 μM for methyl-, ethyl-, propyl- and butylparaben, respectively, demonstrating that cytotoxicity increases with increasing alkyl chain length. Genome-wide analysis demonstrated that FDR-adjusted significant gene expression changes occurred only at cytotoxic or close to cytotoxic concentrations, for example 1720 differentially expressed genes (DEG) at 1000 μM ethylparaben, 1 DEG at 316 μM, and no DEG at 100 μM or lower concentrations. The highest concentration of ethylparaben that did not induce any cytotoxicity nor DEG was 1670-fold above the highest concentration reported in biomonitoring studies (60 nM ethylparaben in cord blood). In conclusion, cytotoxicity and gene expression alterations of ethylparaben occurred at concentrations of approximately three orders of magnitude above human blood concentrations; moreover, the substance fitted well into a scenario where toxicity increases with the alkyl chain length, and gene expression changes only occur at cytotoxic or close to cytotoxic concentrations. Therefore, no evidence was obtained suggesting that in vivo DART with ethylparaben would lead to different results as the methyl- or propyl derivates.
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Affiliation(s)
- Florian Seidel
- Leibniz Research Centre for Working Environment and Human Factors at the Technical University of Dortmund (IfADo), Ardeystrasse 67, 44139, Dortmund, Germany.
| | - Franziska Kappenberg
- Department of Statistics, TU Dortmund University, Vogelpothsweg 87, 44227, Dortmund, Germany
| | - Susann Fayyaz
- Clariant Produkte (Deutschland) GmbH, Brüningstrasse 50, 65929, Frankfurt am Main, Germany
| | - Andreas Scholtz-Illigens
- Leibniz Research Centre for Working Environment and Human Factors at the Technical University of Dortmund (IfADo), Ardeystrasse 67, 44139, Dortmund, Germany
| | - Anna Cherianidou
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Physiology, Working Group Sachinidis, Robert-Koch-Str. 39, 50931, Cologne, Germany
| | - Katharina Derksen
- Leibniz Research Centre for Working Environment and Human Factors at the Technical University of Dortmund (IfADo), Ardeystrasse 67, 44139, Dortmund, Germany
| | - Patrick Nell
- Leibniz Research Centre for Working Environment and Human Factors at the Technical University of Dortmund (IfADo), Ardeystrasse 67, 44139, Dortmund, Germany
| | - Rosemarie Marchan
- Leibniz Research Centre for Working Environment and Human Factors at the Technical University of Dortmund (IfADo), Ardeystrasse 67, 44139, Dortmund, Germany
| | - Karolina Edlund
- Leibniz Research Centre for Working Environment and Human Factors at the Technical University of Dortmund (IfADo), Ardeystrasse 67, 44139, Dortmund, Germany
| | - Marcel Leist
- In Vitro Toxicology and Biomedicine, Department of Biology, University of Konstanz, Universitätsstr. 10, PO, Box M657, 78457, Konstanz, Germany
| | - Agapios Sachinidis
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Physiology, Working Group Sachinidis, Robert-Koch-Str. 39, 50931, Cologne, Germany; Center for Molecular Medicine Cologne (CMMC), University of Cologne, 50931, Cologne, Germany
| | - Jörg Rahnenführer
- Department of Statistics, TU Dortmund University, Vogelpothsweg 87, 44227, Dortmund, Germany
| | - Reinhard Kreiling
- Clariant Produkte (Deutschland) GmbH, Brüningstrasse 50, 65929, Frankfurt am Main, Germany
| | - Jan G Hengstler
- Leibniz Research Centre for Working Environment and Human Factors at the Technical University of Dortmund (IfADo), Ardeystrasse 67, 44139, Dortmund, Germany.
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21
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Murphy C, Gornés Pons G, Keogh A, Ryan L, McCarra L, Jose CM, Kesar S, Nicholson S, Fitzmaurice GJ, Ryan R, Young V, Cuffe S, Finn SP, Gray SG. An Analysis of JADE2 in Non-Small Cell Lung Cancer (NSCLC). Biomedicines 2023; 11:2576. [PMID: 37761019 PMCID: PMC10526426 DOI: 10.3390/biomedicines11092576] [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: 04/12/2023] [Revised: 06/26/2023] [Accepted: 06/29/2023] [Indexed: 09/29/2023] Open
Abstract
The JADE family comprises three members encoded by individual genes and roles for these proteins have been identified in chromatin remodeling, cell cycle progression, cell regeneration and the DNA damage response. JADE family members, and in particular JADE2 have not been studied in any great detail in cancer. Using a series of standard biological and bioinformatics approaches we investigated JADE2 expression in surgically resected non-small cell lung cancer (NSCLC) for both mRNA and protein to examine for correlations between JADE2 expression and overall survival. Additional correlations were identified using bioinformatic analyses on multiple online datasets. Our analysis demonstrates that JADE2 expression is significantly altered in NSCLC. High expression of JADE2 is associated with a better 5-year overall survival. Links between JADE2 mRNA expression and a number of mutated genes were identified, and associations between JADE2 expression and tumor mutational burden and immune cell infiltration were explored. Potential new drugs that can target JADE2 were identified. The results of this biomarker-driven study suggest that JADE2 may have potential clinical utility in the diagnosis, prognosis and stratification of patients into various therapeutically targetable options.
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Affiliation(s)
- Ciara Murphy
- Department of Histopathology, Labmed Directorate, St. James’s Hospital, D08 NHY1 Dublin, Ireland (S.P.F.)
- Thoracic Oncology Research Group, Central Pathology Laboratory, Trinity St. James’s Cancer Institute (TSJCI), St. James’s Hospital, D08 RX0X Dublin, Ireland (A.K.)
| | - Glòria Gornés Pons
- Thoracic Oncology Research Group, Central Pathology Laboratory, Trinity St. James’s Cancer Institute (TSJCI), St. James’s Hospital, D08 RX0X Dublin, Ireland (A.K.)
- Faculty of Biology, University of Barcelona, 08025 Barcelona, Spain
| | - Anna Keogh
- Thoracic Oncology Research Group, Central Pathology Laboratory, Trinity St. James’s Cancer Institute (TSJCI), St. James’s Hospital, D08 RX0X Dublin, Ireland (A.K.)
- Department of Histopathology and Morbid Anatomy, Trinity College Dublin, D02 PN40 Dublin, Ireland
| | - Lisa Ryan
- Department of Histopathology, Labmed Directorate, St. James’s Hospital, D08 NHY1 Dublin, Ireland (S.P.F.)
| | - Lorraine McCarra
- Department of Histopathology, Labmed Directorate, St. James’s Hospital, D08 NHY1 Dublin, Ireland (S.P.F.)
| | - Chris Maria Jose
- School of Medicine, Trinity College Dublin, D02 PN40 Dublin, Ireland
| | - Shagun Kesar
- School of Medicine, Trinity College Dublin, D02 PN40 Dublin, Ireland
| | - Siobhan Nicholson
- Department of Histopathology, Labmed Directorate, St. James’s Hospital, D08 NHY1 Dublin, Ireland (S.P.F.)
| | - Gerard J. Fitzmaurice
- Surgery, Anaesthesia and Critical Care Directorate, St. James’s Hospital, D08 NHY1 Dublin, Ireland (V.Y.)
| | - Ronan Ryan
- Surgery, Anaesthesia and Critical Care Directorate, St. James’s Hospital, D08 NHY1 Dublin, Ireland (V.Y.)
| | - Vincent Young
- Surgery, Anaesthesia and Critical Care Directorate, St. James’s Hospital, D08 NHY1 Dublin, Ireland (V.Y.)
| | - Sinead Cuffe
- HOPE Directorate, St. James’s Hospital, D08 NHY1 Dublin, Ireland
| | - Stephen P. Finn
- Department of Histopathology, Labmed Directorate, St. James’s Hospital, D08 NHY1 Dublin, Ireland (S.P.F.)
- Thoracic Oncology Research Group, Central Pathology Laboratory, Trinity St. James’s Cancer Institute (TSJCI), St. James’s Hospital, D08 RX0X Dublin, Ireland (A.K.)
- Department of Histopathology and Morbid Anatomy, Trinity College Dublin, D02 PN40 Dublin, Ireland
| | - Steven G. Gray
- Thoracic Oncology Research Group, Central Pathology Laboratory, Trinity St. James’s Cancer Institute (TSJCI), St. James’s Hospital, D08 RX0X Dublin, Ireland (A.K.)
- Department of Clinical Medicine, Trinity College Dublin, D02 PN40 Dublin, Ireland
- School of Biological Sciences, Technological University Dublin, D07 XT95 Dublin, Ireland
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22
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Wang X, Jing X, Dou F, Cao H. An approach for proteins and their encoding genes synonyms integration based on protein ontology. BMC Bioinformatics 2023; 24:339. [PMID: 37700258 PMCID: PMC10496362 DOI: 10.1186/s12859-023-05464-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 09/03/2023] [Indexed: 09/14/2023] Open
Abstract
BACKGROUND Biological research is generating high volumes of data distributed across various sources. The inconsistent naming of proteins and their encoding genes brings great challenges to protein data integration: proteins and their coding genes usually have multiple related names and notations, which are difficult to match absolutely; the nomenclature of genes and proteins is complex and varies from species to species; some less studied species have no nomenclature of genes and proteins; The annotation of the same protein/gene varies greatly in different databases. In summary, a comprehensive set of protein/gene synonyms is necessary for relevant studies. RESULTS In this study, we propose an approach for protein and its encoding gene synonym integration based on protein ontology. The workflow of protein and gene synonym integration is composed of three modules: data acquisition, entity and attribute alignment, attribute integration and deduplication. Finally, the integrated synonym set of proteins and their coding genes contains over 128.59 million terminologies covering 560,275 proteins/genes and 13,781 species. As the semantic basis, the comprehensive synonym set was used to develop a data platform to provide one-stop data retrieval without considering the diversity of protein nomenclature and species. CONCLUSION The synonym set constructed here can serve as an important resource for biological named entity identification, text mining and information retrieval without name ambiguity, especially synonyms associated with well-defined species categories can help to study the evolutionary relationships between species at the molecular level. More importantly, the comprehensive synonyms set is the semantic basis for our subsequent studies on Protein-protein Interaction (PPI) knowledge graph.
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Affiliation(s)
- Xiaohong Wang
- Teaching Affairs Department, Shandong Foreign Trade Vocational College, Qingdao, 266100, China
| | - Xiaoli Jing
- Network and Information Center, Qingdao Marine Science and Technology Center, Qingdao, 266237, China.
| | - Fangkun Dou
- Oceanographic Data Center, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
| | - Haowei Cao
- Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250000, China
- Shandong Provincial Key Laboratory of Computer Networks, Shandong Fundamental Research Center for Computer Science, Jinan, 250000, China
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23
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Mészáros B, Hatos A, Palopoli N, Quaglia F, Salladini E, Van Roey K, Arthanari H, Dosztányi Z, Felli IC, Fischer PD, Hoch JC, Jeffries CM, Longhi S, Maiani E, Orchard S, Pancsa R, Papaleo E, Pierattelli R, Piovesan D, Pritisanac I, Tenorio L, Viennet T, Tompa P, Vranken W, Tosatto SCE, Davey NE. Minimum information guidelines for experiments structurally characterizing intrinsically disordered protein regions. Nat Methods 2023; 20:1291-1303. [PMID: 37400558 DOI: 10.1038/s41592-023-01915-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 05/18/2023] [Indexed: 07/05/2023]
Abstract
An unambiguous description of an experiment, and the subsequent biological observation, is vital for accurate data interpretation. Minimum information guidelines define the fundamental complement of data that can support an unambiguous conclusion based on experimental observations. We present the Minimum Information About Disorder Experiments (MIADE) guidelines to define the parameters required for the wider scientific community to understand the findings of an experiment studying the structural properties of intrinsically disordered regions (IDRs). MIADE guidelines provide recommendations for data producers to describe the results of their experiments at source, for curators to annotate experimental data to community resources and for database developers maintaining community resources to disseminate the data. The MIADE guidelines will improve the interpretability of experimental results for data consumers, facilitate direct data submission, simplify data curation, improve data exchange among repositories and standardize the dissemination of the key metadata on an IDR experiment by IDR data sources.
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Affiliation(s)
- Bálint Mészáros
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
- Department of Structural Biology and Center for Data Driven Discovery, St Jude Children's Research Hospital, Memphis, TN, USA
| | - András Hatos
- Department of Biomedical Sciences, University of Padova, Padova, Italy
- Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Swiss Cancer Center Leman, Lausanne, Switzerland
| | - Nicolas Palopoli
- Departamento de Ciencia y Tecnología, Universidad Nacional de Quilmes - CONICET, Bernal, Buenos Aires, Argentina
| | - Federica Quaglia
- Department of Biomedical Sciences, University of Padova, Padova, Italy
- Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies, National Research Council (CNR-IBIOM), Bari, Italy
| | - Edoardo Salladini
- Department of Biomedical Sciences, University of Padova, Padova, Italy
| | - Kim Van Roey
- Interuniversity Institute of Bioinformatics in Brussels, ULB-VUB, Brussels, Belgium
- Structural Biology Brussels, Vrije Universiteit Brussel, Brussels, Belgium
| | - Haribabu Arthanari
- Harvard Medical School (HMS), Boston, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute (DFCI), Boston, MA, USA
| | | | - Isabella C Felli
- Department of Chemistry 'Ugo Schiff' and Magnetic Resonance Center, University of Florence, Sesto Fiorentino (Florence), Italy
| | - Patrick D Fischer
- Harvard Medical School (HMS), Boston, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute (DFCI), Boston, MA, USA
| | - Jeffrey C Hoch
- Department of Molecular Biology and Biophysics, UConn Health, Farmington, CT, USA
| | - Cy M Jeffries
- European Molecular Biology Laboratory (EMBL), Hamburg Unit, c/o Deutsches Elektronen-Synchrotron, Hamburg, Germany
| | - Sonia Longhi
- Laboratory Architecture et Fonction des Macromolécules Biologiques (AFMB), UMR 7257, Aix Marseille University and Centre National de la Recherche Scientifique (CNRS), Marseille, France
| | - Emiliano Maiani
- Cancer Structural Biology, Danish Cancer Society Research Center, Copenhagen, Denmark
- UniCamillus - Saint Camillus International University of Health and Medical Sciences, Rome, Italy
| | - Sandra Orchard
- European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Hinxton, UK
| | - Rita Pancsa
- Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Hungary
| | - Elena Papaleo
- Cancer Structural Biology, Danish Cancer Society Research Center, Copenhagen, Denmark
- Cancer Systems Biology, Section for Bioinformatics, Department of Health and Technology, Technical University of Denmark, Lyngby, Denmark
| | - Roberta Pierattelli
- Department of Chemistry 'Ugo Schiff' and Magnetic Resonance Center, University of Florence, Sesto Fiorentino (Florence), Italy
| | - Damiano Piovesan
- Department of Biomedical Sciences, University of Padova, Padova, Italy
| | - Iva Pritisanac
- Hospital for Sick Children, Toronto, Ontario, Canada
- Medical University of Graz, Graz, Austria
| | - Luiggi Tenorio
- Department of Biomedical Sciences, University of Padova, Padova, Italy
| | - Thibault Viennet
- Harvard Medical School (HMS), Boston, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute (DFCI), Boston, MA, USA
| | - Peter Tompa
- Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Hungary
- VIB-VUB Center for Structural Biology, Brussels, Belgium
- Structural Biology Brussels, Department of Bioengineering Sciences, Vrije Universiteit Brussel, Brussels, Belgium
| | - Wim Vranken
- Interuniversity Institute of Bioinformatics in Brussels, ULB-VUB, Brussels, Belgium
- Structural Biology Brussels, Vrije Universiteit Brussel, Brussels, Belgium
- Structural Biology Brussels, Department of Bioengineering Sciences, Vrije Universiteit Brussel, Brussels, Belgium
| | | | - Norman E Davey
- Division Of Cancer Biology, Institute of Cancer Research, Chester Beatty Laboratories, Chelsea, London, UK.
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24
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Milman T, Grossniklaus HE, Goldman-Levy G, Kivelä TT, Coupland SE, White VA, Mudhar HS, Eberhart CG, Verdijk RM, Heegaard S, Gill AJ, Jager MJ, Rodríguez-Reyes AA, Esmaeli B, Hodge JC, Cree IA. The 5th Edition of the World Health Organization Classification of Tumours of the Eye and Orbit. Ocul Oncol Pathol 2023; 9:71-95. [PMID: 37900189 PMCID: PMC10601864 DOI: 10.1159/000530730] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 03/22/2023] [Indexed: 10/31/2023] Open
Affiliation(s)
- Tatyana Milman
- Departments of Ophthalmology and Pathology, Wills Eye Hospital, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA, USA
| | - Hans E. Grossniklaus
- Departments of Ophthalmology and Pathology, Emory University School of Medicine, Atlanta, GA, USA
| | - Gabrielle Goldman-Levy
- World Health Organization, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Tero T. Kivelä
- Ophthalmic Pathology Laboratory, Department of Ophthalmology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Sarah E. Coupland
- George Holt Chair of Pathology/Consultant Histopathologist, Liverpool Clinical Laboratories, Liverpool University Hospitals Foundation Trust, Liverpool, UK
| | - Valerie A. White
- World Health Organization, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Hardeep Singh Mudhar
- National Specialist Ophthalmic Pathology Service (NSOPS), Department of Histopathology, Royal Hallamshire Hospital, Sheffield, UK
| | - Charles G. Eberhart
- Departments of Pathology and Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Robert M. Verdijk
- Section Ophthalmic Pathology, Department of Pathology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - Steffen Heegaard
- Department of Pathology, Eye Pathology Section and Ophthalmology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Anthony J. Gill
- Department of Pathology, University of Sydney, Sydney, NSW, Australia
- Cancer Diagnosis and Pathology Group, Kolling Institute of Medical Research, Royal North Shore Hospital St Leonards NSW, St Leonards, NSW, Australia
- NSW Health Pathology, Department of Anatomical Pathology, Royal North Shore Hospital, St Leonards NSW, St Leonards, NSW, Australia
| | - Martine J. Jager
- Department of Ophthalmology, Leiden University Medical Center, Leiden, The Netherlands
| | - Abelardo A. Rodríguez-Reyes
- Ophthalmic Pathology Service, Asociación para Evitar la Ceguera en México, I.A.P. Faculty of Medicine, Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico
| | - Bita Esmaeli
- Orbital Oncology and Ophthalmic Plastic Surgery, Department of Plastic Surgery, MDAnderson Cancer Center, Houston, TX, USA
| | | | - Ian A. Cree
- World Health Organization, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - on behalf of the WHO Classification of Tumours Editorial Board
- Departments of Ophthalmology and Pathology, Wills Eye Hospital, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA, USA
- Departments of Ophthalmology and Pathology, Emory University School of Medicine, Atlanta, GA, USA
- World Health Organization, International Agency for Research on Cancer, World Health Organization, Lyon, France
- Ophthalmic Pathology Laboratory, Department of Ophthalmology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- George Holt Chair of Pathology/Consultant Histopathologist, Liverpool Clinical Laboratories, Liverpool University Hospitals Foundation Trust, Liverpool, UK
- National Specialist Ophthalmic Pathology Service (NSOPS), Department of Histopathology, Royal Hallamshire Hospital, Sheffield, UK
- Departments of Pathology and Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Section Ophthalmic Pathology, Department of Pathology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Pathology, Eye Pathology Section and Ophthalmology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- Department of Pathology, University of Sydney, Sydney, NSW, Australia
- Cancer Diagnosis and Pathology Group, Kolling Institute of Medical Research, Royal North Shore Hospital St Leonards NSW, St Leonards, NSW, Australia
- NSW Health Pathology, Department of Anatomical Pathology, Royal North Shore Hospital, St Leonards NSW, St Leonards, NSW, Australia
- Department of Ophthalmology, Leiden University Medical Center, Leiden, The Netherlands
- Ophthalmic Pathology Service, Asociación para Evitar la Ceguera en México, I.A.P. Faculty of Medicine, Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico
- Orbital Oncology and Ophthalmic Plastic Surgery, Department of Plastic Surgery, MDAnderson Cancer Center, Houston, TX, USA
- Indiana University School of Medicine, Indianapolis, IN, USA
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25
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Boppana A, Lee S, Malhotra R, Halushka M, Gustilo KS, Quardokus EM, Herr BW, Börner K, Weber GM. Anatomical structures, cell types, and biomarkers of the healthy human blood vasculature. Sci Data 2023; 10:452. [PMID: 37468503 PMCID: PMC10356915 DOI: 10.1038/s41597-023-02018-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 01/30/2023] [Indexed: 07/21/2023] Open
Abstract
More than 150 scientists from 17 consortia are collaborating on an international project to build a Human Reference Atlas, which maps all 37 trillion cells in the healthy adult human body. The initial release of this atlas provided hierarchical lists of the anatomical structures, cell types, and biomarkers in 11 organs. Here, we describe the methods we used as part of this initiative to build the first open, computer-readable, and comprehensive database of the adult human blood vasculature, called the Human Reference Atlas-Vasculature Common Coordinate Framework (HRA-VCCF). It includes 993 vessels and their branching connections, 10 cell types, and 10 biomarkers. With this paper we are releasing additional details on vessel types and subtypes, branching sequence, anastomoses, portal systems, microvasculature, functional tissue units, mappings to regions vessels supply or drain, geometric properties of vessels, and links to 3D reference objects. Future versions will add variants and connections to the lymph vasculature; and, it will iteratively expand and improve the database as additional experimental data become available through the participating consortia.
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Affiliation(s)
| | - Sujin Lee
- Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Rajeev Malhotra
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Marc Halushka
- Department of Pathology, Johns Hopkins Medicine, Baltimore, Maryland, USA
| | - Katherine S Gustilo
- Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, Indiana, USA
| | - Ellen M Quardokus
- Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, Indiana, USA
| | - Bruce W Herr
- Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, Indiana, USA
| | - Katy Börner
- Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, Indiana, USA
| | - Griffin M Weber
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
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Abdallah MOE, Koko M, Ramesar R. Lost in translation: the pitfalls of Ensembl gene annotations between human genome assemblies and their impact on diagnostics. Expert Rev Mol Diagn 2023; 23:723-727. [PMID: 37449513 DOI: 10.1080/14737159.2023.2237411] [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: 04/21/2023] [Revised: 06/26/2023] [Accepted: 07/03/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND Gene models based on GRCh37 human genome assembly are preferred by many international projects over other updated assemblies (GRCh38 and T2T). Discrepant genes (DGs), those recognized as protein coding in the new but not the old assembly, are ignored by several genomic resources and discarded by variant prioritization tools relying on information based on GRCh37. METHODS We curated a set of Ensembl genes with discrepant annotations between GRCh37 and GRCh38, additionally matching their RefSeq transcripts. Furthermore, we examined their clinical and phenotypic relevance. RESULTS A total of 337 genes were reclassified as 'protein-coding' in GRCh38 but not in GRCh37, with 194 having a discrepant HGNC gene symbol. Many remain missing from the current known RefSeq gene models (N = 73). We found many clinically relevant genes in this group of neglected genes, and we anticipate that many more will be found relevant in the future. Important additional annotations such as evolutionary constraint metrics are also not calculated for these genes, further relegating them into oblivion. CONCLUSION For discrepant genes, the inaccurate label of 'non-protein-coding' has relevant ramifications on clinical genetics. Accurate collation of these genes allows for manual curation in clinically relevant scenarios.
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Affiliation(s)
- Mohammed O E Abdallah
- Division of Human Genetics, Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, BC, Canada
- MRC Genomic and Precision Medicine Research Unit, Division of Human Genetics, Department of Pathology, Institute of Infectious Diseases and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Mahmoud Koko
- Department of Epileptology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Raj Ramesar
- MRC Genomic and Precision Medicine Research Unit, Division of Human Genetics, Department of Pathology, Institute of Infectious Diseases and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
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Han C, Leonardo TR, Romana-Souza B, Shi J, Keiser S, Yuan H, Altakriti M, Ranzer MJ, Ferri-Borgogno S, Mok SC, Koh TJ, Hong SJ, Chen L, DiPietro LA. Microfibril-associated protein 5 and the regulation of skin scar formation. Sci Rep 2023; 13:8728. [PMID: 37253753 PMCID: PMC10229580 DOI: 10.1038/s41598-023-35558-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 05/20/2023] [Indexed: 06/01/2023] Open
Abstract
Many factors regulate scar formation, which yields a modified extracellular matrix (ECM). Among ECM components, microfibril-associated proteins have been minimally explored in the context of skin wound repair. Microfibril-associated protein 5 (MFAP5), a small 25 kD serine and threonine rich microfibril-associated protein, influences microfibril function and modulates major extracellular signaling pathways. Though known to be associated with fibrosis and angiogenesis in certain pathologies, MFAP5's role in wound healing is unknown. Using a murine model of skin wound repair, we found that MFAP5 is significantly expressed during the proliferative and remodeling phases of healing. Analysis of existing single-cell RNA-sequencing data from mouse skin wounds identified two fibroblast subpopulations as the main expressors of MFAP5 during wound healing. Furthermore, neutralization of MFAP5 in healing mouse wounds decreased collagen deposition and refined angiogenesis without altering wound closure. In vitro, recombinant MFAP5 significantly enhanced dermal fibroblast migration, collagen contractility, and expression of pro-fibrotic genes. Additionally, TGF-ß1 increased MFAP5 expression and production in dermal fibroblasts. Our findings suggest that MFAP5 regulates fibroblast function and influences scar formation in healing wounds. Our work demonstrates a previously undescribed role for MFAP5 and suggests that microfibril-associated proteins may be significant modulators of wound healing outcomes and scarring.
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Affiliation(s)
- Chen Han
- Center for Wound Healing and Tissue Regeneration, University of Illinois Chicago, Chicago, IL, USA
| | - Trevor R Leonardo
- Department of Microbiology and Immunology, College of Medicine, University of Illinois Chicago, Chicago, IL, USA
| | - Bruna Romana-Souza
- Department of Histology and Embryology, Rio de Janeiro State University, Rio de Janeiro, RJ, Brazil
| | - Junhe Shi
- NMPA Key Laboratory for Clinical Research and Evaluation of Traditional Chinese Medicine, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Shalyn Keiser
- Center for Wound Healing and Tissue Regeneration, University of Illinois Chicago, Chicago, IL, USA
| | - Heidi Yuan
- Center for Wound Healing and Tissue Regeneration, University of Illinois Chicago, Chicago, IL, USA
| | - Mohamad Altakriti
- Center for Wound Healing and Tissue Regeneration, University of Illinois Chicago, Chicago, IL, USA
| | - Matthew J Ranzer
- Department of Surgery, University of Illinois Chicago, Chicago, IL, USA
| | - Sammy Ferri-Borgogno
- Department of Gynecologic Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Samuel C Mok
- Department of Gynecologic Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Timothy J Koh
- Center for Wound Healing and Tissue Regeneration, University of Illinois Chicago, Chicago, IL, USA
- Department of Kinesiology and Nutrition, University of Illinois Chicago, Chicago, IL, USA
| | - Seok Jong Hong
- Department of Surgery, Northwestern University-Feinberg School of Medicine, Chicago, IL, USA
| | - Lin Chen
- Center for Wound Healing and Tissue Regeneration, University of Illinois Chicago, Chicago, IL, USA.
| | - Luisa A DiPietro
- Center for Wound Healing and Tissue Regeneration, University of Illinois Chicago, Chicago, IL, USA.
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Olson KE, Abdelmoaty MM, Namminga KL, Lu Y, Obaro H, Santamaria P, Mosley RL, Gendelman HE. An open-label multiyear study of sargramostim-treated Parkinson's disease patients examining drug safety, tolerability, and immune biomarkers from limited case numbers. Transl Neurodegener 2023; 12:26. [PMID: 37217980 PMCID: PMC10201023 DOI: 10.1186/s40035-023-00361-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 05/04/2023] [Indexed: 05/24/2023] Open
Abstract
BACKGROUND The clinical utility and safety of sargramostim has previously been reported in cancer, acute radiation syndrome, autoimmune disease, inflammatory conditions, and Alzheimer's disease. The safety, tolerability, and mechanisms of action in Parkinson's disease (PD) during extended use has not been evaluated. METHODS As a primary goal, safety and tolerability was assessed in five PD patients treated with sargramostim (Leukine®, granulocyte-macrophage colony-stimulating factor) for 33 months. Secondary goals included numbers of CD4+ T cells and monocytes and motor functions. Hematologic, metabolic, immune, and neurological evaluations were assessed during a 5-day on, 2-day off therapeutic regimen given at 3 μg/kg. After 2 years, drug use was discontinued for 3 months. This was then followed by an additional 6 months of treatment. RESULTS Sargramostim-associated adverse events included injection-site reactions, elevated total white cell counts, and bone pain. On drug, blood analyses and metabolic panels revealed no untoward side effects linked to long-term treatment. Unified Parkinson's Disease Rating Scale scores remained stable throughout the study while regulatory T cell number and function were increased. In the initial 6 months of treatment, transcriptomic and proteomic monocyte tests demonstrated autophagy and sirtuin signaling. This finding paralleled anti-inflammatory and antioxidant activities within both the adaptive and innate immune profile arms. CONCLUSIONS Taken together, the data affirmed long-term safety as well as immune and anti-inflammatory responses reflecting clinical stability in PD under the sargramostim treatment. Confirmation in larger patient populations is planned in a future phase II evaluation. TRIAL REGISTRATION ClinicalTrials.gov: NCT03790670, Date of Registration: 01/02/2019, URL: https://clinicaltrials.gov/ct2/show/NCT03790670?cond=leukine+parkinson%27s&draw=2&rank=2 .
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Affiliation(s)
- Katherine E Olson
- Department of Pharmacology and Experimental Neuroscience, Center for Neurodegenerative Disorders, University of Nebraska Medical Center, Omaha, NE, 68198, USA
| | - Mai M Abdelmoaty
- Department of Pharmacology and Experimental Neuroscience, Center for Neurodegenerative Disorders, University of Nebraska Medical Center, Omaha, NE, 68198, USA
| | - Krista L Namminga
- Department of Pharmacology and Experimental Neuroscience, Center for Neurodegenerative Disorders, University of Nebraska Medical Center, Omaha, NE, 68198, USA
| | - Yaman Lu
- Department of Pharmacology and Experimental Neuroscience, Center for Neurodegenerative Disorders, University of Nebraska Medical Center, Omaha, NE, 68198, USA
| | - Helen Obaro
- Great Plains Center for Clinical and Translational Research, Nebraska Medicine, Omaha, NE, USA
| | - Pamela Santamaria
- Neurology Consultants of Nebraska, PC and Nebraska Medicine, Omaha, NE, USA
| | - R Lee Mosley
- Department of Pharmacology and Experimental Neuroscience, Center for Neurodegenerative Disorders, University of Nebraska Medical Center, Omaha, NE, 68198, USA
| | - Howard E Gendelman
- Department of Pharmacology and Experimental Neuroscience, Center for Neurodegenerative Disorders, University of Nebraska Medical Center, Omaha, NE, 68198, USA.
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Jones TEM, Yates B, Braschi B, Gray K, Tweedie S, Seal RL, Bruford EA. The VGNC: expanding standardized vertebrate gene nomenclature. Genome Biol 2023; 24:115. [PMID: 37173739 PMCID: PMC10176861 DOI: 10.1186/s13059-023-02957-2] [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: 08/10/2022] [Accepted: 04/28/2023] [Indexed: 05/15/2023] Open
Abstract
The Vertebrate Gene Nomenclature Committee (VGNC) was established in 2016 as a sister project to the HUGO Gene Nomenclature Committee, to approve gene nomenclature in vertebrate species without an existing dedicated nomenclature committee. The VGNC aims to harmonize gene nomenclature across selected vertebrate species in line with human gene nomenclature, with orthologs assigned the same nomenclature where possible. This article presents an overview of the VGNC project and discussion of key findings resulting from this work to date. VGNC-approved nomenclature is accessible at https://vertebrate.genenames.org and is additionally displayed by the NCBI, Ensembl, and UniProt databases.
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Affiliation(s)
- Tamsin E. M. Jones
- HUGO Gene Nomenclature Committee, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, CB10 1SD Cambridgeshire UK
| | - Bethan Yates
- HUGO Gene Nomenclature Committee, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, CB10 1SD Cambridgeshire UK
- Current address: Tree of Life, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA Cambridgeshire UK
| | - Bryony Braschi
- HUGO Gene Nomenclature Committee, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, CB10 1SD Cambridgeshire UK
| | - Kristian Gray
- HUGO Gene Nomenclature Committee, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, CB10 1SD Cambridgeshire UK
- Department of Haematology, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0AW Cambridgeshire UK
| | - Susan Tweedie
- HUGO Gene Nomenclature Committee, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, CB10 1SD Cambridgeshire UK
| | - Ruth L. Seal
- HUGO Gene Nomenclature Committee, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, CB10 1SD Cambridgeshire UK
- Department of Haematology, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0AW Cambridgeshire UK
| | - Elspeth A. Bruford
- HUGO Gene Nomenclature Committee, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, CB10 1SD Cambridgeshire UK
- Department of Haematology, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0AW Cambridgeshire UK
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Vedi M, Smith JR, Thomas Hayman G, Tutaj M, Brodie KC, De Pons JL, Demos WM, Gibson AC, Kaldunski ML, Lamers L, Laulederkind SJF, Thota J, Thorat K, Tutaj MA, Wang SJ, Zacher S, Dwinell MR, Kwitek AE. 2022 updates to the Rat Genome Database: a Findable, Accessible, Interoperable, and Reusable (FAIR) resource. Genetics 2023; 224:iyad042. [PMID: 36930729 PMCID: PMC10474928 DOI: 10.1093/genetics/iyad042] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Revised: 03/07/2023] [Accepted: 03/08/2023] [Indexed: 03/19/2023] Open
Abstract
The Rat Genome Database (RGD, https://rgd.mcw.edu) has evolved from simply a resource for rat genetic markers, maps, and genes, by adding multiple genomic data types and extensive disease and phenotype annotations and developing tools to effectively mine, analyze, and visualize the available data, to empower investigators in their hypothesis-driven research. Leveraging its robust and flexible infrastructure, RGD has added data for human and eight other model organisms (mouse, 13-lined ground squirrel, chinchilla, naked mole-rat, dog, pig, African green monkey/vervet, and bonobo) besides rat to enhance its translational aspect. This article presents an overview of the database with the most recent additions to RGD's genome, variant, and quantitative phenotype data. We also briefly introduce Virtual Comparative Map (VCMap), an updated tool that explores synteny between species as an improvement to RGD's suite of tools, followed by a discussion regarding the refinements to the existing PhenoMiner tool that assists researchers in finding and comparing quantitative data across rat strains. Collectively, RGD focuses on providing a continuously improving, consistent, and high-quality data resource for researchers while advancing data reproducibility and fulfilling Findable, Accessible, Interoperable, and Reusable (FAIR) data principles.
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Affiliation(s)
- Mahima Vedi
- The Rat Genome Database, Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Jennifer R Smith
- The Rat Genome Database, Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - G Thomas Hayman
- The Rat Genome Database, Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Monika Tutaj
- The Rat Genome Database, Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Kent C Brodie
- Clinical and Translational Science Institute, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Jeffrey L De Pons
- The Rat Genome Database, Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Wendy M Demos
- The Rat Genome Database, Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Adam C Gibson
- The Rat Genome Database, Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Mary L Kaldunski
- The Rat Genome Database, Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Logan Lamers
- The Rat Genome Database, Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Stanley J F Laulederkind
- The Rat Genome Database, Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Jyothi Thota
- The Rat Genome Database, Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Ketaki Thorat
- The Rat Genome Database, Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Marek A Tutaj
- The Rat Genome Database, Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Shur-Jen Wang
- The Rat Genome Database, Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Stacy Zacher
- Finance and Administration, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Melinda R Dwinell
- The Rat Genome Database, Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Anne E Kwitek
- The Rat Genome Database, Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
- Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI 53226, USA
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Seal RL, Tweedie S, Bruford EA. A standardised nomenclature for long non-coding RNAs. IUBMB Life 2023; 75:380-389. [PMID: 35880706 PMCID: PMC9877250 DOI: 10.1002/iub.2663] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 07/08/2022] [Indexed: 01/29/2023]
Abstract
The HUGO Gene Nomenclature Committee (HGNC) is the sole group with the authority to approve symbols for human genes, including long non-coding RNA (lncRNA) genes. Use of approved symbols ensures that publications and biomedical databases are easily searchable and reduces the risks of confusion that can be caused by using the same symbol to refer to different genes or using many different symbols for the same gene. Here, we describe how the HGNC names lncRNA genes and review the nomenclature of the seven lncRNA genes most mentioned in the scientific literature.
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Affiliation(s)
- Ruth L. Seal
- HUGO Gene Nomenclature Committee, European Molecular Biology LaboratoryEuropean Bioinformatics Institute, Wellcome Genome CampusHinxtonUK
- Department of HaematologyUniversity of Cambridge School of Clinical MedicineCambridgeUK
| | - Susan Tweedie
- HUGO Gene Nomenclature Committee, European Molecular Biology LaboratoryEuropean Bioinformatics Institute, Wellcome Genome CampusHinxtonUK
| | - Elspeth A. Bruford
- HUGO Gene Nomenclature Committee, European Molecular Biology LaboratoryEuropean Bioinformatics Institute, Wellcome Genome CampusHinxtonUK
- Department of HaematologyUniversity of Cambridge School of Clinical MedicineCambridgeUK
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Mize TJ, Funkhouser SA, Buck JM, Stitzel JA, Ehringer MA, Evans LM. Testing Association of Previously Implicated Gene Sets and Gene-Networks in Nicotine Exposed Mouse Models with Human Smoking Phenotypes. Nicotine Tob Res 2023; 25:1030-1038. [PMID: 36444815 PMCID: PMC10077928 DOI: 10.1093/ntr/ntac269] [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: 09/30/2021] [Revised: 08/15/2022] [Accepted: 11/23/2022] [Indexed: 11/30/2022]
Abstract
INTRODUCTION Smoking behaviors are partly heritable, yet the genetic and environmental mechanisms underlying smoking phenotypes are not fully understood. Developmental nicotine exposure (DNE) is a significant risk factor for smoking and leads to gene expression changes in mouse models; however, it is unknown whether the same genes whose expression is impacted by DNE are also those underlying smoking genetic liability. We examined whether genes whose expression in D1-type striatal medium spiny neurons due to DNE in the mouse are also associated with human smoking behaviors. METHODS Specifically, we assessed whether human orthologs of mouse-identified genes, either individually or as a set, were genetically associated with five human smoking traits using MAGMA and S-LDSC while implementing a novel expression-based gene-SNP annotation methodology. RESULTS We found no strong evidence that these genes sets were more strongly associated with smoking behaviors than the rest of the genome, but ten of these individual genes were significantly associated with three of the five human smoking traits examined (p < 2.5e-6). Three of these genes have not been reported previously and were discovered only when implementing the expression-based annotation. CONCLUSIONS These results suggest the genes whose expression is impacted by DNE in mice are largely distinct from those contributing to smoking genetic liability in humans. However, examining a single mouse neuronal cell type may be too fine a resolution for comparison, suggesting that experimental manipulation of nicotine consumption, reward, or withdrawal in mice may better capture genes related to the complex genetics of human tobacco use. IMPLICATIONS Genes whose expression is impacted by DNE in mouse D1-type striatal medium spiny neurons were not found to be, as a whole, more strongly associated with human smoking behaviors than the rest of the genome, though ten individual mouse-identified genes were associated with human smoking traits. This suggests little overlap between the genetic mechanisms impacted by DNE and those influencing heritable liability to smoking phenotypes in humans. Further research is warranted to characterize how developmental nicotine exposure paradigms in mice can be translated to understand nicotine use in humans and their heritable effects on smoking.
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Affiliation(s)
- Travis J Mize
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, USA
- Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO, USA
| | - Scott A Funkhouser
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, USA
| | - Jordan M Buck
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, USA
- Department of Integrative Physiology, University of Colorado, Boulder, CO, USA
| | - Jerry A Stitzel
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, USA
- Department of Integrative Physiology, University of Colorado, Boulder, CO, USA
| | - Marissa A Ehringer
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, USA
- Department of Integrative Physiology, University of Colorado, Boulder, CO, USA
| | - Luke M Evans
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, USA
- Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO, USA
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Shockey J, Parchuri P, Thyssen GN, Bates PD. Assessing the biotechnological potential of cotton type-1 and type-2 diacylglycerol acyltransferases in transgenic systems. PLANT PHYSIOLOGY AND BIOCHEMISTRY : PPB 2023; 196:940-951. [PMID: 36889233 DOI: 10.1016/j.plaphy.2023.02.040] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 02/14/2023] [Accepted: 02/22/2023] [Indexed: 06/18/2023]
Abstract
The chemical and physical properties of vegetable oils are largely dictated by the ratios of 4-6 common fatty acids contained within each oil. However, examples of plant species that accumulate from trace amounts to >90% of certain unusual fatty acids in seed triacylglycerols have been reported. Many of the general enzymatic reactions that drive both common and unusual fatty acid biosynthesis and accumulation in stored lipids are known, but which isozymes have evolved to specifically fill this role and how they coordinate in vivo is still poorly understood. Cotton (Gossypium sp.) is the very rare example of a commodity oilseed that produces biologically relevant amounts of unusual fatty acids in its seeds and other organs. In this case, unusual cyclopropyl fatty acids (named after the cyclopropane and cyclopropene moieties within the fatty acids) are found in membrane and storage glycerolipids (e.g. seed oils). Such fatty acids are useful in the synthesis of lubricants, coatings, and other types of valuable industrial feedstocks. To characterize the role of cotton acyltransferases in cyclopropyl fatty acid accumulation for bioengineering applications, we cloned and characterized type-1 and type-2 diacylglycerol acyltransferases from cotton and compared their biochemical properties to that of litchi (Litchi chinensis), another cyclopropyl fatty acid-producing plant. The results presented from transgenic microbes and plants indicate both cotton DGAT1 and DGAT2 isozymes efficiently utilize cyclopropyl fatty acid-containing substrates, which helps to alleviate biosynthetic bottlenecks and enhances total cyclopropyl fatty acid accumulation in the seed oil.
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Affiliation(s)
- Jay Shockey
- United States Department of Agriculture, Agricultural Research Service, Southern Regional Research Center, New Orleans, LA, USA, 70124.
| | - Prasad Parchuri
- Institute of Biological Chemistry, Washington State University, Pullman, WA, USA, 99164
| | - Gregory N Thyssen
- United States Department of Agriculture, Agricultural Research Service, Southern Regional Research Center, New Orleans, LA, USA, 70124
| | - Philip D Bates
- Institute of Biological Chemistry, Washington State University, Pullman, WA, USA, 99164
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McCarthy FM, Jones TEM, Kwitek AE, Smith CL, Vize PD, Westerfield M, Bruford EA. The case for standardizing gene nomenclature in vertebrates. Nature 2023; 614:E31-E32. [PMID: 36792746 PMCID: PMC9931569 DOI: 10.1038/s41586-022-05633-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 12/06/2022] [Indexed: 02/17/2023]
Affiliation(s)
- Fiona M McCarthy
- The Chicken Gene Nomenclature Committee (CGNC), School of Animal and Comparative Biomedical Sciences, University of Arizona, Tucson, AZ, USA
| | - Tamsin E M Jones
- HUGO Gene Nomenclature Committee (HGNC), European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Anne E Kwitek
- Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Cynthia L Smith
- Mouse Genome Database, The Jackson Laboratory, Bar Harbor, ME, USA
| | - Peter D Vize
- Xenbase, Departments of Biological Sciences and Computer Science, University of Calgary, Calgary, Alberta, Canada
| | - Monte Westerfield
- ZFIN, Institute of Neuroscience, University of Oregon, Eugene, OR, USA
| | - Elspeth A Bruford
- HUGO Gene Nomenclature Committee (HGNC), European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK.
- Department of Haematology, University of Cambridge School of Clinical Medicine, Cambridge, UK.
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Zhang Y, Yao C, Ju Z, Jiao D, Hu D, Qi L, Liu S, Wu X, Zhao C. Krüppel-like factors in tumors: Key regulators and therapeutic avenues. Front Oncol 2023; 13:1080720. [PMID: 36761967 PMCID: PMC9905823 DOI: 10.3389/fonc.2023.1080720] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 01/09/2023] [Indexed: 01/26/2023] Open
Abstract
Krüppel-like factors (KLFs) are a group of DNA-binding transcriptional regulators with multiple essential functions in various cellular processes, including proliferation, migration, inflammation, and angiogenesis. The aberrant expression of KLFs is often found in tumor tissues and is essential for tumor development. At the molecular level, KLFs regulate multiple signaling pathways and mediate crosstalk among them. Some KLFs may also be molecular switches for specific biological signals, driving their transition from tumor suppressors to promoters. At the histological level, the abnormal expression of KLFs is closely associated with tumor cell stemness, proliferation, apoptosis, and alterations in the tumor microenvironment. Notably, the role of each KLF in tumors varies according to tumor type and different stages of tumor development rather than being invariant. In this review, we focus on the advances in the molecular biology of KLFs, particularly the regulations of several classical signaling pathways by these factors, and the critical role of KLFs in tumor development. We also highlight their strong potential as molecular targets in tumor therapy and suggest potential directions for clinical translational research.
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Affiliation(s)
- Yuchen Zhang
- School of Acupuncture-moxibustion and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Chongjie Yao
- School of Acupuncture-moxibustion and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, China,Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Ziyong Ju
- School of Acupuncture-moxibustion and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Danli Jiao
- School of Acupuncture-moxibustion and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Dan Hu
- School of Acupuncture-moxibustion and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Li Qi
- School of Acupuncture-moxibustion and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Shimin Liu
- School of Acupuncture-moxibustion and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, China,Shanghai Research Institute of Acupuncture and Meridian, Shanghai, China
| | - Xueqing Wu
- Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China,*Correspondence: Chen Zhao, ; Xueqing Wu,
| | - Chen Zhao
- School of Acupuncture-moxibustion and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, China,*Correspondence: Chen Zhao, ; Xueqing Wu,
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Haim M. Daten sichten. COMPUTATIONAL COMMUNICATION SCIENCE 2023:21-44. [DOI: 10.1007/978-3-658-40171-9_2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
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Maciejewska-Skrendo A, Massidda M, Tocco F, Leźnicka K. The Influence of the Differentiation of Genes Encoding Peroxisome Proliferator-Activated Receptors and Their Coactivators on Nutrient and Energy Metabolism. Nutrients 2022; 14:nu14245378. [PMID: 36558537 PMCID: PMC9782515 DOI: 10.3390/nu14245378] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 11/27/2022] [Accepted: 12/15/2022] [Indexed: 12/23/2022] Open
Abstract
Genetic components may play an important role in the regulation of nutrient and energy metabolism. In the presence of specific genetic variants, metabolic dysregulation may occur, especially in relation to the processes of digestion, assimilation, and the physiological utilization of nutrients supplied to the body, as well as the regulation of various metabolic pathways and the balance of metabolic changes, which may consequently affect the effectiveness of applied reduction diets and weight loss after training. There are many well-documented studies showing that the presence of certain polymorphic variants in some genes can be associated with specific changes in nutrient and energy metabolism, and consequently, with more or less desirable effects of applied caloric reduction and/or exercise intervention. This systematic review focused on the role of genes encoding peroxisome proliferator-activated receptors (PPARs) and their coactivators in nutrient and energy metabolism. The literature review prepared showed that there is a link between the presence of specific alleles described at different polymorphic points in PPAR genes and various human body characteristics that are crucial for the efficacy of nutritional and/or exercise interventions. Genetic analysis can be a valuable element that complements the work of a dietitian or trainer, allowing for the planning of a personalized diet or training that makes the best use of the innate metabolic characteristics of the person who is the subject of their interventions.
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Affiliation(s)
- Agnieszka Maciejewska-Skrendo
- Faculty of Physical Culture, Gdansk University of Physical Education and Sport, 80-336 Gdansk, Poland
- Institute of Physical Culture Sciences, University of Szczecin, 71-065 Szczecin, Poland
- Correspondence:
| | - Myosotis Massidda
- Department of Medical Sciences and Public Health, Faculty of Medicine and Surgery, Sport and Exercise Sciences Degree Courses, University of Cagliari, 72-09124 Cagliari, Italy
| | - Filippo Tocco
- Department of Medical Sciences and Public Health, Faculty of Medicine and Surgery, Sport and Exercise Sciences Degree Courses, University of Cagliari, 72-09124 Cagliari, Italy
| | - Katarzyna Leźnicka
- Faculty of Physical Culture, Gdansk University of Physical Education and Sport, 80-336 Gdansk, Poland
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Liu Z, Zhai M, Zhang Q, Yang T, Wan Z, Li J, Liu X, Xu B, Du L, Chan RWS, Zhang L, Yeung WSB, Cheung KW, Chiu PCN, Wang WJ, Lee CL, Gao Y. Resolving the gene expression maps of human first-trimester chorionic villi with spatial transcriptome. Front Cell Dev Biol 2022; 10:1060298. [PMID: 36561369 PMCID: PMC9763897 DOI: 10.3389/fcell.2022.1060298] [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: 10/03/2022] [Accepted: 11/25/2022] [Indexed: 12/12/2022] Open
Abstract
The placenta is important for fetal development in mammals, and spatial transcriptomic profiling of placenta helps to resolve its structure and function. In this study, we described the landscape of spatial transcriptome of human placental villi obtained from two pregnant women at the first trimester using the modified Stereo-seq method applied for paraformaldehyde (PFA) fixation samples. The PFA fixation of human placenta villi was better than fresh villi embedded in optimum cutting temperature (OCT) compound, since it greatly improved tissue morphology and the specificity of RNA signals. The main cell types in chorionic villi such as syncytiotrophoblasts (SCT), villous cytotrophoblasts (VCT), fibroblasts (FB), and extravillous trophoblasts (EVT) were identified with the spatial transcriptome data, whereas the minor cell types of Hofbauer cells (HB) and endothelial cells (Endo) were spatially located by deconvolution of scRNA-seq data. We demonstrated that the Stereo-seq data of human villi could be used for sophisticated analyses such as spatial cell-communication and regulatory activity. We found that the SCT and VCT exhibited the most ligand-receptor pairs that could increase differentiation of the SCT, and that the spatial localization of specific regulons in different cell types was associated with the pathways related to hormones transport and secretion, regulation of mitotic cell cycle, and nutrient transport pathway in SCT. In EVT, regulatory pathways such as the epithelial to mesenchyme transition, epithelial development and differentiation, and extracellular matrix organization were identified. Finally, viral receptors and drug transporters were identified in villi according to the pathway analysis, which could help to explain the vertical transmission of several infectious diseases and drug metabolism efficacy. Our study provides a valuable resource for further investigation of the placenta development, physiology and pathology in a spatial context.
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Affiliation(s)
| | | | - Qingqing Zhang
- Department of Obstetrics and Gynaecology, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China,Shenzhen Key Laboratory of Fertility Regulation, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Tingyu Yang
- BGI-Shenzhen, Shenzhen, China,Shenzhen Engineering Laboratory for Birth Defects Screening, Shenzhen, China,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | | | - Jianlin Li
- Department of Obstetrics and Gynaecology, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Xiaofeng Liu
- Shenzhen Key Laboratory of Fertility Regulation, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Bo Xu
- Department of Obstetrics and Gynaecology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Libei Du
- Department of Obstetrics and Gynaecology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Rachel W. S. Chan
- Department of Obstetrics and Gynaecology, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China,Shenzhen Key Laboratory of Fertility Regulation, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Li Zhang
- Department of Obstetrics and Gynaecology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - William S. B. Yeung
- Department of Obstetrics and Gynaecology, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China,Shenzhen Key Laboratory of Fertility Regulation, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Ka Wang Cheung
- Department of Obstetrics and Gynaecology, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Philip C. N. Chiu
- Department of Obstetrics and Gynaecology, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China,Shenzhen Key Laboratory of Fertility Regulation, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Wen-Jing Wang
- BGI-Shenzhen, Shenzhen, China,*Correspondence: Wen-Jing Wang, ; Cheuk-Lun Lee, ; Ya Gao,
| | - Cheuk-Lun Lee
- Department of Obstetrics and Gynaecology, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China,Shenzhen Key Laboratory of Fertility Regulation, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China,*Correspondence: Wen-Jing Wang, ; Cheuk-Lun Lee, ; Ya Gao,
| | - Ya Gao
- BGI-Shenzhen, Shenzhen, China,Shenzhen Engineering Laboratory for Birth Defects Screening, Shenzhen, China,*Correspondence: Wen-Jing Wang, ; Cheuk-Lun Lee, ; Ya Gao,
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Braschi B, Bruford EA, Cavanagh AT, Neuman SD, Bashirullah A. The bridge-like lipid transfer protein (BLTP) gene group: introducing new nomenclature based on structural homology indicating shared function. Hum Genomics 2022; 16:66. [PMID: 36461115 PMCID: PMC9719229 DOI: 10.1186/s40246-022-00439-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 11/22/2022] [Indexed: 12/03/2022] Open
Abstract
The HUGO Gene Nomenclature Committee assigns unique symbols and names to human genes. The use of approved nomenclature enables effective communication between researchers, and there are multiple examples of how the usage of unapproved alias symbols can lead to confusion. We discuss here a recent nomenclature update (May 2022) for a set of genes that encode proteins with a shared repeating β-groove domain. Some of the proteins encoded by genes in this group have already been shown to function as lipid transporters. By working with researchers in the field, we have been able to introduce a new root symbol (BLTP, which stands for "bridge-like lipid transfer protein") for this domain-based gene group. This new nomenclature not only reflects the shared domain in these proteins, but also takes into consideration the mounting evidence of a shared lipid transport function.
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Affiliation(s)
- Bryony Braschi
- HUGO Gene Nomenclature Committee, European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridgeshire, CB10 1SD, UK.
| | - Elspeth A Bruford
- HUGO Gene Nomenclature Committee, European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridgeshire, CB10 1SD, UK
- Department of Haematology, School of Clinical Medicine, University of Cambridge, Cambridge, Cambridgeshire, CB2 0AW, UK
| | - Amy T Cavanagh
- Division of Pharmaceutical Sciences, University of Wisconsin-Madison, Madison, WI, 53705-2222, USA
| | - Sarah D Neuman
- Division of Pharmaceutical Sciences, University of Wisconsin-Madison, Madison, WI, 53705-2222, USA
| | - Arash Bashirullah
- Division of Pharmaceutical Sciences, University of Wisconsin-Madison, Madison, WI, 53705-2222, USA
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40
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Caffarelli C, Santamaria F, Piro E, Basilicata S, Delle Cave V, Cipullo M, Bernasconi S, Corsello G. New insights in pediatrics in 2021: choices in allergy and immunology, critical care, endocrinology, gastroenterology, genetics, haematology, infectious diseases, neonatology, neurology, nutrition, palliative care, respiratory tract illnesses and telemedicine. Ital J Pediatr 2022; 48:189. [PMID: 36435791 PMCID: PMC9701393 DOI: 10.1186/s13052-022-01374-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 10/25/2022] [Indexed: 11/28/2022] Open
Abstract
In this review, we report the developments across pediatric subspecialties that have been published in the Italian Journal of Pediatrics in 2021. We highlight advances in allergy and immunology, critical care, endocrinology, gastroenterology, genetics, hematology, infectious diseases, neonatology, neurology, nutrition, palliative care, respiratory tract illnesses and telemedicine.
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Affiliation(s)
- Carlo Caffarelli
- Department of Medicine and Surgery, Clinica Pediatrica, Azienda Ospedaliera-Universitaria, University of Parma, Via Gramsci 14, Parma, Italy.
| | - Francesca Santamaria
- Department of Translational Medical Sciences, Federico II University, Naples, Italy
| | - Ettore Piro
- Department of Sciences for Health Promotion and Mother and Child Care G. D'Alessandro, University of Palermo, Palermo, Italy
| | - Simona Basilicata
- Department of Translational Medical Sciences, Federico II University, Naples, Italy
| | - Valeria Delle Cave
- Department of Translational Medical Sciences, Federico II University, Naples, Italy
| | - Marilena Cipullo
- Department of Translational Medical Sciences, Federico II University, Naples, Italy
| | | | - Giovanni Corsello
- Department of Sciences for Health Promotion and Mother and Child Care G. D'Alessandro, University of Palermo, Palermo, Italy
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41
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Dornburg A, Mallik R, Wang Z, Bernal MA, Thompson B, Bruford EA, Nebert DW, Vasiliou V, Yohe LR, Yoder JA, Townsend JP. Placing human gene families into their evolutionary context. Hum Genomics 2022; 16:56. [PMID: 36369063 PMCID: PMC9652883 DOI: 10.1186/s40246-022-00429-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 10/12/2022] [Indexed: 11/13/2022] Open
Abstract
Following the draft sequence of the first human genome over 20 years ago, we have achieved unprecedented insights into the rules governing its evolution, often with direct translational relevance to specific diseases. However, staggering sequence complexity has also challenged the development of a more comprehensive understanding of human genome biology. In this context, interspecific genomic studies between humans and other animals have played a critical role in our efforts to decode human gene families. In this review, we focus on how the rapid surge of genome sequencing of both model and non-model organisms now provides a broader comparative framework poised to empower novel discoveries. We begin with a general overview of how comparative approaches are essential for understanding gene family evolution in the human genome, followed by a discussion of analyses of gene expression. We show how homology can provide insights into the genes and gene families associated with immune response, cancer biology, vision, chemosensation, and metabolism, by revealing similarity in processes among distant species. We then explain methodological tools that provide critical advances and show the limitations of common approaches. We conclude with a discussion of how these investigations position us to gain fundamental insights into the evolution of gene families among living organisms in general. We hope that our review catalyzes additional excitement and research on the emerging field of comparative genomics, while aiding the placement of the human genome into its existentially evolutionary context.
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Affiliation(s)
- Alex Dornburg
- Department of Bioinformatics and Genomics, UNC-Charlotte, Charlotte, NC, USA.
| | - Rittika Mallik
- Department of Bioinformatics and Genomics, UNC-Charlotte, Charlotte, NC, USA
| | - Zheng Wang
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Moisés A Bernal
- Department of Biological Sciences, College of Science and Mathematics, Auburn University, Auburn, AL, USA
| | - Brian Thompson
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA
| | - Elspeth A Bruford
- Department of Haematology, University of Cambridge School of Clinical Medicine, Cambridge, UK
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Daniel W Nebert
- Department of Environmental Health, Center for Environmental Genetics, University of Cincinnati Medical Center, P.O. Box 670056, Cincinnati, OH, 45267, USA
- Department of Pediatrics and Molecular Developmental Biology, Division of Human Genetics, Cincinnati Children's Hospital, Cincinnati, OH, 45229, USA
| | - Vasilis Vasiliou
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA
| | - Laurel R Yohe
- Department of Bioinformatics and Genomics, UNC-Charlotte, Charlotte, NC, USA
| | - Jeffrey A Yoder
- Department of Molecular Biomedical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA
| | - Jeffrey P Townsend
- Department of Bioinformatics and Genomics, UNC-Charlotte, Charlotte, NC, USA
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA
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42
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Diray-Arce J, Miller HER, Henrich E, Gerritsen B, Mulè MP, Fourati S, Gygi J, Hagan T, Tomalin L, Rychkov D, Kazmin D, Chawla DG, Meng H, Dunn P, Campbell J, Sarwal M, Tsang JS, Levy O, Pulendran B, Sekaly R, Floratos A, Gottardo R, Kleinstein SH, Suárez-Fariñas M. The Immune Signatures data resource, a compendium of systems vaccinology datasets. Sci Data 2022; 9:635. [PMID: 36266291 PMCID: PMC9584267 DOI: 10.1038/s41597-022-01714-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 09/22/2022] [Indexed: 01/04/2023] Open
Abstract
Vaccines are among the most cost-effective public health interventions for preventing infection-induced morbidity and mortality, yet much remains to be learned regarding the mechanisms by which vaccines protect. Systems immunology combines traditional immunology with modern 'omic profiling techniques and computational modeling to promote rapid and transformative advances in vaccinology and vaccine discovery. The NIH/NIAID Human Immunology Project Consortium (HIPC) has leveraged systems immunology approaches to identify molecular signatures associated with the immunogenicity of many vaccines. However, comparative analyses have been limited by the distributed nature of some data, potential batch effects across studies, and the absence of multiple relevant studies from non-HIPC groups in ImmPort. To support comparative analyses across different vaccines, we have created the Immune Signatures Data Resource, a compendium of standardized systems vaccinology datasets. This data resource is available through ImmuneSpace, along with code to reproduce the processing and batch normalization starting from the underlying study data in ImmPort and the Gene Expression Omnibus (GEO). The current release comprises 1405 participants from 53 cohorts profiling the response to 24 different vaccines. This novel systems vaccinology data release represents a valuable resource for comparative and meta-analyses that will accelerate our understanding of mechanisms underlying vaccine responses.
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Affiliation(s)
- Joann Diray-Arce
- Precision Vaccines Program, Boston Children's Hospital, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
| | - Helen E R Miller
- Harvard Medical School, Boston, MA, USA
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Evan Henrich
- Harvard Medical School, Boston, MA, USA
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - Matthew P Mulè
- Multiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID NIH Center for Human Immunology, NIH, Bethesda, MD, USA
- NIH-Oxford-Cambridge Scholars Program, Department of Medicine, Cambridge University, Atlanta, GA, USA
| | - Slim Fourati
- Emory University School of Medicine, Atlanta, GA, USA
| | - Jeremy Gygi
- Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
| | - Thomas Hagan
- Stanford University School of Medicine, Stanford University, Stanford, CA, USA
- Division of Infectious Diseases, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Lewis Tomalin
- Department of Population Health Sciences and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Dmitry Rychkov
- University of California, San Francisco, San Francisco, CA, USA
| | - Dmitri Kazmin
- The Jackson Laboratory for Genomic Medicine, Farmington CT, Rockville, MD, USA
| | - Daniel G Chawla
- Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
| | | | - Patrick Dunn
- ImmPort Curation Team, NG Health Solutions, Rockville, MD, USA
| | - John Campbell
- ImmPort Curation Team, NG Health Solutions, Rockville, MD, USA
| | - Minnie Sarwal
- University of California, San Francisco, San Francisco, CA, USA
| | - John S Tsang
- Multiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID NIH Center for Human Immunology, NIH, Bethesda, MD, USA
| | - Ofer Levy
- Precision Vaccines Program, Boston Children's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Broad Institute of MIT & Harvard, Cambridge, MA, USA
| | - Bali Pulendran
- Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | - Rafick Sekaly
- Emory University School of Medicine, Atlanta, GA, USA
| | - Aris Floratos
- Columbia University Medical Center, New York, NY, USA
| | - Raphael Gottardo
- Harvard Medical School, Boston, MA, USA
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- University of Lausanne and University Hospital of Lausanne, Lausanne, Switzerland
| | | | - Mayte Suárez-Fariñas
- Department of Population Health Sciences and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
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43
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Seal RL, Braschi B, Gray K, Jones TEM, Tweedie S, Haim-Vilmovsky L, Bruford EA. Genenames.org: the HGNC resources in 2023. Nucleic Acids Res 2022; 51:D1003-D1009. [PMID: 36243972 PMCID: PMC9825485 DOI: 10.1093/nar/gkac888] [Citation(s) in RCA: 123] [Impact Index Per Article: 61.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 09/28/2022] [Accepted: 10/03/2022] [Indexed: 01/30/2023] Open
Abstract
The HUGO Gene Nomenclature Committee (HGNC) assigns unique symbols and names to human genes. The HGNC database (www.genenames.org) currently contains over 43 000 approved gene symbols, over 19 200 of which are assigned to protein-coding genes, 14 000 to pseudogenes and nearly 9000 to non-coding RNA genes. The public website, www.genenames.org, displays all approved nomenclature within Symbol Reports that contain data curated by HGNC nomenclature advisors and links to related genomic, clinical, and proteomic information. Here, we describe updates to our resource, including improvements to our search facility and new download features.
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Affiliation(s)
- Ruth L Seal
- To whom correspondence should be addressed. Tel: +44 1223 494444; Fax: +44 1223 494446;
| | - Bryony Braschi
- HUGO Gene Nomenclature Committee, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK
| | - Kristian Gray
- HUGO Gene Nomenclature Committee, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK,Department of Haematology, University of Cambridge School of Clinical Medicine, Cambridge CB2 0PT, UK
| | - Tamsin E M Jones
- HUGO Gene Nomenclature Committee, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK
| | - Susan Tweedie
- HUGO Gene Nomenclature Committee, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK
| | - Liora Haim-Vilmovsky
- HUGO Gene Nomenclature Committee, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK
| | - Elspeth A Bruford
- HUGO Gene Nomenclature Committee, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK,Department of Haematology, University of Cambridge School of Clinical Medicine, Cambridge CB2 0PT, UK
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Amahong K, Zhang W, Zhou Y, Zhang S, Yin J, Li F, Xu H, Yan T, Yue Z, Liu Y, Hou T, Qiu Y, Tao L, Han L, Zhu F. CovInter: interaction data between coronavirus RNAs and host proteins. Nucleic Acids Res 2022; 51:D546-D556. [PMID: 36200814 PMCID: PMC9825556 DOI: 10.1093/nar/gkac834] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 09/07/2022] [Accepted: 09/16/2022] [Indexed: 01/29/2023] Open
Abstract
Coronavirus has brought about three massive outbreaks in the past two decades. Each step of its life cycle invariably depends on the interactions among virus and host molecules. The interaction between virus RNA and host protein (IVRHP) is unique compared to other virus-host molecular interactions and represents not only an attempt by viruses to promote their translation/replication, but also the host's endeavor to combat viral pathogenicity. In other words, there is an urgent need to develop a database for providing such IVRHP data. In this study, a new database was therefore constructed to describe the interactions between coronavirus RNAs and host proteins (CovInter). This database is unique in (a) unambiguously characterizing the interactions between virus RNA and host protein, (b) comprehensively providing experimentally validated biological function for hundreds of host proteins key in viral infection and (c) systematically quantifying the differential expression patterns (before and after infection) of these key proteins. Given the devastating and persistent threat of coronaviruses, CovInter is highly expected to fill the gap in the whole process of the 'molecular arms race' between viruses and their hosts, which will then aid in the discovery of new antiviral therapies. It's now free and publicly accessible at: https://idrblab.org/covinter/.
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Affiliation(s)
| | | | | | - Song Zhang
- College of Pharmaceutical Sciences, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou 310058, China
| | - Jiayi Yin
- College of Pharmaceutical Sciences, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou 310058, China,Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou 330110, China
| | - Fengcheng Li
- College of Pharmaceutical Sciences, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou 310058, China,Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou 330110, China
| | - Hongquan Xu
- Key Laboratory of Elemene Class Anti-cancer Chinese Medicines, School of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China
| | - Tianci Yan
- Key Laboratory of Elemene Class Anti-cancer Chinese Medicines, School of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China
| | - Zixuan Yue
- Key Laboratory of Elemene Class Anti-cancer Chinese Medicines, School of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China
| | - Yuhong Liu
- Key Laboratory of Elemene Class Anti-cancer Chinese Medicines, School of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China
| | - Tingjun Hou
- College of Pharmaceutical Sciences, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou 310058, China
| | - Yunqing Qiu
- State Key Laboratory for Diagnosis and Treatment of Infectious Disease, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang Provincial Key Laboratory for Drug Clinical Research and Evaluation, The First Affiliated Hospital, Zhejiang University, Hangzhou 310000, China
| | - Lin Tao
- Correspondence may also be addressed to Lin Tao.
| | - Lianyi Han
- Correspondence may also be addressed to Lianyi Han.
| | - Feng Zhu
- To whom correspondence should be addressed. Tel: +86 189 8946 6518; Fax: +86 571 8820 8444;
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MAS-related G protein-coupled receptors X (MRGPRX): Orphan GPCRs with potential as targets for future drugs. Pharmacol Ther 2022; 238:108259. [DOI: 10.1016/j.pharmthera.2022.108259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 07/30/2022] [Accepted: 08/01/2022] [Indexed: 11/20/2022]
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46
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Beanes G, Caliman-Fontes AT, Souza-Marques B, Silva HDS, Leal GC, Carneiro BA, Guerreiro-Costa LNF, Figueiredo AV, Figueiredo CAV, Lacerda ALT, Costa RDS, Quarantini LC. Effects of GRIN2B, GRIA1, and BDNF Polymorphisms on the Therapeutic Action of Ketamine and Esketamine in Treatment-Resistant Depression Patients: Secondary Analysis From a Randomized Clinical Trial. Clin Neuropharmacol 2022; 45:151-156. [PMID: 36093918 DOI: 10.1097/wnf.0000000000000517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE This study aimed to evaluate the effect of genetic variants in glutamate ionotropic receptor N-methyl-d-aspartate type subunit 2B (GRIN2B), glutamate ionotropic receptor α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid type subunit 1 (GRIA1), and brain-derived neurotrophic factor (BDNF) genes on therapeutic response, remission, and total Montgomery-Åsberg Depression Rating Scale scores after treatment with ketamine or esketamine in treatment-resistant depression (TRD) patients. METHODS Participants (N = 60) are from a double-blind, randomized, noninferiority clinical trial comparing single-dose intravenous ketamine (0.5 mg/kg) to esketamine (0.25 mg/kg) for TRD. Montgomery-Åsberg Depression Rating Scale was applied at baseline, 24 hours, 72 hours, and 7 days postinfusion to assess depressive symptoms. Blood samples were collected to evaluate single nucleotide polymorphisms rs1805502 (GRIN2B), rs1994862 (GRIA1), and rs6265 (BDNF). RESULTS There was no association between rs1805502, rs1994862, or rs6265 polymorphisms and antidepressant response (P = 0.909, P = 0.776, and P = 0.482, respectively), remission P = 0.790, P = 0.086, and P = 0.669), or Montgomery-Åsberg Depression Rating Scale scores at each time point (P = 0.907, P = 0.552, and P = 0.778). CONCLUSIONS We found no association between the studied single nucleotide polymorphisms (rs6265, rs1805502, and rs1994862) and ketamine's therapeutic action in TRD patients. Further studies with larger samples are needed to clarify the utility of these genes of interest as predictors for antidepressant treatment.
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Affiliation(s)
| | - Ana Teresa Caliman-Fontes
- Laboratório de Neuropsicofarmacologia, Serviço de Psiquiatria, Hospital Universitário Professor Edgard Santos
| | | | - Hátilla Dos Santos Silva
- Laboratório de Imunofarmacologia e Biologia Molecular, Instituto de Ciências da Saúde, Universidade Federal da Bahia, Salvador
| | | | | | | | - Alexandre V Figueiredo
- Laboratório de Neuropsicofarmacologia, Serviço de Psiquiatria, Hospital Universitário Professor Edgard Santos
| | - Camila Alexandrina V Figueiredo
- Laboratório de Imunofarmacologia e Biologia Molecular, Instituto de Ciências da Saúde, Universidade Federal da Bahia, Salvador
| | | | - Ryan Dos S Costa
- Laboratório de Imunofarmacologia e Biologia Molecular, Instituto de Ciências da Saúde, Universidade Federal da Bahia, Salvador
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Lyman DF, Bell A, Black A, Dingerdissen H, Cauley E, Gogate N, Liu D, Joseph A, Kahsay R, Crichton DJ, Mehta A, Mazumder R. Modeling and integration of N-glycan biomarkers in a comprehensive biomarker data model. Glycobiology 2022; 32:855-870. [PMID: 35925813 PMCID: PMC9487899 DOI: 10.1093/glycob/cwac046] [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: 05/26/2021] [Revised: 06/30/2022] [Accepted: 07/04/2022] [Indexed: 11/13/2022] Open
Abstract
Molecular biomarkers measure discrete components of biological processes that can contribute to disorders when impaired. Great interest exists in discovering early cancer biomarkers to improve outcomes. Biomarkers represented in a standardized data model, integrated with multi-omics data, may improve understanding and use of novel biomarkers such as glycans and glycoconjugates. Among altered components in tumorigenesis, N-glycans exhibit substantial biomarker potential, when analyzed with their protein carriers. However, such data are distributed across publications and databases of diverse formats, which hampers their use in research and clinical application. Mass spectrometry measures of fifty N-glycans, on seven serum proteins in liver disease, were integrated (as a panel) into a cancer biomarker data model, providing a unique identifier, standard nomenclature, links to glycan resources, and accession and ontology annotations to standard protein, gene, disease, and biomarker information. Data provenance was documented with a standardized FDA-supported BioCompute Object. Using the biomarker data model allows capture of granular information, such as glycans with different levels of abundance in cirrhosis, hepatocellular carcinoma, and transplant groups. Such representation in a standardized data model harmonizes glycomics data in a unified framework, making glycan-protein biomarker data exploration more available to investigators and to other data resources. The biomarker data model we describe can be used by researchers to describe their novel glycan and glycoconjugate biomarkers, can integrate N-glycan biomarker data with multi-source biomedical data, and can foster discovery and insight within a unified data framework for glycan biomarker representation thereby making the data FAIR (Findable, Accessible, Interoperable, Reusable) (https://www.go-fair.org/fair-principles/).
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Affiliation(s)
- Daniel F Lyman
- The Department of Biochemistry & Molecular Medicine, The George Washington University Medical Center, Washington, DC 20037, United States of America
| | - Amanda Bell
- The Department of Biochemistry & Molecular Medicine, The George Washington University Medical Center, Washington, DC 20037, United States of America
| | - Alyson Black
- The Department of Cell & Molecular Pharmacology, The Medical University of South Carolina, Charleston, SC, 29403, United States of America
| | - Hayley Dingerdissen
- The Department of Biochemistry & Molecular Medicine, The George Washington University Medical Center, Washington, DC 20037, United States of America
| | - Edmund Cauley
- The Department of Biochemistry & Molecular Medicine, The George Washington University Medical Center, Washington, DC 20037, United States of America.,The McCormick Genomic and Proteomic Center, The George Washington University, Washington, DC 20037, United States of America
| | - Nikhita Gogate
- The Department of Biochemistry & Molecular Medicine, The George Washington University Medical Center, Washington, DC 20037, United States of America
| | - David Liu
- NASA Jet Propulsion Laboratory, Pasadena, CA 91109, United States of America
| | - Ashia Joseph
- The Department of Biochemistry & Molecular Medicine, The George Washington University Medical Center, Washington, DC 20037, United States of America
| | - Robel Kahsay
- The Department of Biochemistry & Molecular Medicine, The George Washington University Medical Center, Washington, DC 20037, United States of America
| | - Daniel J Crichton
- NASA Jet Propulsion Laboratory, Pasadena, CA 91109, United States of America
| | - Anand Mehta
- The Department of Cell & Molecular Pharmacology, The Medical University of South Carolina, Charleston, SC, 29403, United States of America
| | - Raja Mazumder
- The Department of Biochemistry & Molecular Medicine, The George Washington University Medical Center, Washington, DC 20037, United States of America.,The McCormick Genomic and Proteomic Center, The George Washington University, Washington, DC 20037, United States of America
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Gene Updater: a web tool that autocorrects and updates for Excel misidentified gene names. Sci Rep 2022; 12:12743. [PMID: 35882976 PMCID: PMC9325790 DOI: 10.1038/s41598-022-17104-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 07/20/2022] [Indexed: 11/24/2022] Open
Abstract
Opening and processing gene expression data files in Excel runs into the inadvertent risk of converting gene names to dates. As pathway analysis tools rely on gene symbols to query against pathway databases, the genes that are converted to dates will not be recognized, potentially causing voids in pathway analysis. Molecular pathways related to cell division, exocytosis, cilium assembly, protein ubiquitination and nitric oxide biosynthesis were found to be most affected by Excel auto-conversion. A plausible solution is hence to update these genes and dates to the newly approved gene names as recommended by the HUGO Gene Nomenclature Committee (HGNC), which are resilient to Excel auto-conversion. Herein, we developed a web tool with Streamlit that can convert old gene names and dates back into the new gene names recommended by HGNC. The web app is named Gene Updater, which is open source and can be either hosted locally or at https://share.streamlit.io/kuanrongchan/date-to-gene-converter/main/date_gene_tool.py. Additionally, as Mar-01 and Mar-02 can each be potentially mapped to 2 different gene names, users can assign the date terms to the appropriate gene names within the Gene Updater web tool. This user-friendly web tool ensures that the accuracy and integrity of gene expression data is preserved by minimizing errors in labelling gene names due to Excel auto-conversions.
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Bruford E. Comment on Herring et al. The Use of "Retardation" in FRAXA, FMRP, FMR1 and Other Designations. Cells 2022, 11, 1044. Cells 2022; 11:cells11121937. [PMID: 35741066 PMCID: PMC9221639 DOI: 10.3390/cells11121937] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 06/14/2022] [Indexed: 02/04/2023] Open
Abstract
This commentary is written in response to the recent article from Herring et al., discussing the eradication of the offensive term "retardation" from gene nomenclature. We discuss the work of the HUGO (Human Genome Organisation) Gene Nomenclature Committee (HGNC) and outline the steps already taken to remove this term from our gene names. We also highlight the latest nomenclature changes made as a result of discussions with the authors and agreement with the European Fragile X Network.
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Affiliation(s)
- Elspeth Bruford
- Department of Haematology, University of Cambridge School of Clinical Medicine, Cambridge CB2 0PT, UK
- HUGO Gene Nomenclature Committee, EMBL-EBI, European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton CB10 1SD, UK;
- Correspondence:
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Dalgleish R. Re: Long-term evaluation of anabolic and anti-resorptive agents in adults with familial osteoporosis due to pro205ala variant of the col1a1 gene. Osteoporos Int 2022; 33:1403-1404. [PMID: 35234990 DOI: 10.1007/s00198-022-06334-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 02/04/2022] [Indexed: 10/19/2022]
Affiliation(s)
- Raymond Dalgleish
- Department of Genetics and Genome Biology, University of Leicester, University Road, Leicester, LE1 7RH, UK.
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