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Vijay P, Panwar D, Narwal R, Sehgal N. Structural modeling and gene expression analysis of phosvitinless vitellogenin (vgc) in the Indian freshwater murrel, Channa punctatus (Bloch, 1793). Gen Comp Endocrinol 2024; 352:114491. [PMID: 38494038 DOI: 10.1016/j.ygcen.2024.114491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 03/04/2024] [Accepted: 03/06/2024] [Indexed: 03/19/2024]
Abstract
Vitellogenin (Vg) is a female-specific egg-yolk precursor protein, synthesized in the liver of fish in response to estrogens. In the present study, complete gene of phosvitinless vitellogenin (vgc) was sequenced, its 3D structure was predicted and validated by web-based softwares. The complete nucleotide sequence of vgc was 4126 bp which encodes for 1272 amino acids and showed the presence of three conserved domains viz. LPD_N, DUF1943 and DUF1944. The retrieved amino acid sequence of VgC protein was subjected to in silico analysis for understanding the structural and functional properties of protein. mRNA levels of multiple vg genes have also been quantified during annual reproductive cycle employing qPCR. A correlation has been observed between seasonal changes in gonadosomatic index with estradiol levels and hepatic expression of three types of vg genes (vga, vgb, vgc) during ovarian cycle of murrel. During preparatory phase, when photoperiod and temperature are low; low titre of E2 in blood induces expression of vgc gene. A rapid increase in the levels of E2 favours induction of vgb and vga genes in liver of murrel during early pre-spawning phase when photoperiod is long and temperature is high in nature. These results suggest that among three vitellogenin proteins, VgC is synthesized earlier than VgA and VgB during oogenesis.
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Affiliation(s)
- Pooja Vijay
- Department of Zoology, University of Delhi, Delhi 110007, India
| | - Deepak Panwar
- Center for Individualized Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Ritu Narwal
- Department of Zoology, University of Delhi, Delhi 110007, India
| | - Neeta Sehgal
- Department of Zoology, University of Delhi, Delhi 110007, India.
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2
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Watkins AM, Das R. RNA 3D Modeling with FARFAR2, Online. Methods Mol Biol 2023; 2586:233-249. [PMID: 36705908 DOI: 10.1007/978-1-0716-2768-6_14] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Understanding the three-dimensional structure of an RNA molecule is often essential to understanding its function. Sampling algorithms and energy functions for RNA structure prediction are improving, due to the increasing diversity of structural data available for training statistical potentials and testing structural data, along with a steady supply of blind challenges through the RNA-Puzzles initiative. The recent FARFAR2 algorithm enables near-native structure predictions on fairly complex RNA structures, including automated selection of final candidate models and estimation of model accuracy. Here, we describe the use of a publicly available webserver for RNA modeling for realistic scenarios using FARFAR2, available at https://rosie.rosettacommons.org/farfar2 . We walk through two cases in some detail: a simple model pseudoknot from the frameshifting element of beet western yellows virus modeled using the "basic interface" to the webserver and a replication of RNA-Puzzle 20, a metagenomic twister sister ribozyme, using the "advanced interface." We also describe example runs of FARFAR2 modeling including two kinds of experimental data: a c-di-GMP riboswitch modeled with low-resolution restraints from MOHCA-seq experiments and a tandem GA motif modeled with 1H NMR chemical shifts.
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Affiliation(s)
- Andrew M Watkins
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
- Prescient Design, Genentech, South San Francisco, CA, USA
| | - Rhiju Das
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA.
- Biophysics Program, Stanford University, Stanford, CA, USA.
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3
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Asi H, Dasgupta B, Nagai T, Miyashita O, Tama F. A hybrid approach to study large conformational transitions of biomolecules from single particle XFEL diffraction data. Front Mol Biosci 2022; 9:913860. [PMID: 36660427 PMCID: PMC9846856 DOI: 10.3389/fmolb.2022.913860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 07/04/2022] [Indexed: 01/06/2023] Open
Abstract
X-ray free-electron laser (XFEL) is the latest generation of the X-ray source that could become an invaluable technique in structural biology. XFEL has ultrashort pulse duration, extreme peak brilliance, and high spatial coherence, which could enable the observation of the biological molecules in near nature state at room temperature without crystallization. However, for biological systems, due to their low diffraction power and complexity of sample delivery, experiments and data analysis are not straightforward, making it extremely challenging to reconstruct three-dimensional (3D) structures from single particle XFEL data. Given the current limitations to the amount and resolution of the data from such XFEL experiments, we propose a new hybrid approach for characterizing biomolecular conformational transitions by using a single 2D low-resolution XFEL diffraction pattern in combination with another known conformation. In our method, we represent the molecular structure with a coarse-grained model, the Gaussian mixture model, to describe large conformational transitions from low-resolution XFEL data. We obtain plausible 3D structural models that are consistent with the XFEL diffraction pattern by deforming an initial structural model to maximize the similarity between the target pattern and the simulated diffraction patterns from the candidate models. We tested the proposed algorithm on two biomolecules of different sizes with different complexities of conformational transitions, adenylate kinase, and elongation factor 2, using synthetic XFEL data. The results show that, with the proposed algorithm, we can successfully describe the conformational transitions by flexibly fitting the coarse-grained model of one conformation to become consistent with an XFEL diffraction pattern simulated from another conformation. In addition, we showed that the incident beam orientation has some effect on the accuracy of the 3D structure modeling and discussed the reasons for the inaccuracies for certain orientations. The proposed method could serve as an alternative approach for retrieving information on 3D conformational transitions from the XFEL diffraction patterns to interpret experimental data. Since the molecules are represented by Gaussian kernels and no atomic structure is needed in principle, such a method could also be used as a tool to seek initial models for 3D reconstruction algorithms.
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Affiliation(s)
- Han Asi
- Department of Physics, Nagoya University, Nagoya, Japan
| | - Bhaskar Dasgupta
- Division of Biological Data Science, Research Center for Advanced Science and Technology, The University of Tokyo, Meguro City, Japan
| | - Tetsuro Nagai
- Department of Advanced Materials Science, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan
| | - Osamu Miyashita
- RIKEN Center for Computational Science, Kobe, Japan,*Correspondence: Osamu Miyashita, ; Florence Tama,
| | - Florence Tama
- Department of Physics, Nagoya University, Nagoya, Japan,RIKEN Center for Computational Science, Kobe, Japan,Institute of Transformative Bio-Molecules, Nagoya University, Nagoya, Japan,*Correspondence: Osamu Miyashita, ; Florence Tama,
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4
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Zanchi FB, Mariúba LA, Nascimento V, Souza V, Corado A, Nascimento F, Costa ÁK, Duarte D, Silva G, Mejía M, Pessoa K, Gonçalves L, Brandão MJ, Jesus M, Glória J, Silva M, Mattos T, da Costa C, Naveca FG. Structural analysis of SARS-Cov-2 nonstructural protein 1 polymorphisms found in the Brazilian Amazon. Exp Biol Med (Maywood) 2021; 246:2332-2337. [PMID: 34749522 DOI: 10.1177/15353702211021348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
The coronavirus disease COVID-19 has been the cause of millions of deaths worldwide. Among the SARS-CoV-2 proteins, the non-structural protein 1 (NSP1) has great importance during the virus infection process and is present in both alpha and beta-CoVs. Therefore, monitoring of NSP1 polymorphisms is crucial in order to understand their role during infection and virus-induced pathogenicity. Herein, we analyzed how mutations detected in the circulating SARS-CoV-2 in the population of the city of Manaus, Amazonas state, Brazil could modify the tertiary structure of the NSP1 protein. Three mutations were detected in the SARS-CoV-2 NSP1 gene: deletion of the amino acids KSF from positions 141 to 143 (delKSF), SARS-CoV-2, lineage B.1.195; and two substitutions, R29H and R43C, SARS-CoV-2 lineage B.1.1.28 and B.1.1.33, respectively. The delKSF was found in 47 samples, whereas R29H and R43C were found in two samples, one for each mutation. The NSP1 structures carrying the mutations R43C and R29H on the N-terminal portion (e.g. residues 10 to 127) showed minor backbone divergence compared to the Wuhan model. However, the NSP1 C-terminal region (residues 145 to 180) was severely affected in the delKSF and R29H mutants. The intermediate variable region (residues 144 to 148) leads to changes in the C-terminal region, particularly in the delKSF structure. New investigations must be carried out to analyze how these changes affect NSP1 activity during the infection. Our results reinforce the need for continuous genomic surveillance of SARS-CoV-2 to better understand virus evolution and assess the potential impact of the viral mutations on the approved vaccines and future therapies.
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Affiliation(s)
- Fernando Berton Zanchi
- Laboratório de Bioinformática e Química Medicinal, Fundação Oswaldo Cruz, FIOCRUZ, Unidade Rondônia, Porto Velho, RO 76812-245, Brazil.,Programa de Pós-Graduação em Biologia Experimental, Universidade Federal de Rondônia (UNIR), Porto Velho, RO 76801-059, Brazil.,Instituto Nacional de Epidemiologia na Amazônia Ocidental - EPIAMO, Porto Velho, RO 76812-245, Brazil
| | - Luis André Mariúba
- Programa Multi-institucional de Pós-graduação em Biotecnologia, Universidade Federal do Amazonas (PPGBIOTEC-UFAM), Manaus, AM 69067-005, Brazil.,Programa de Pós-graduação em Imunologia Básica e Aplicada, Universidade Federal do Amazonas (PPGIBA-UFAM), Manaus, AM 69067-005, Brazil.,Fundação Oswaldo Cruz, Fiocruz, Instituto Leônidas e Maria Deane (ILMD-FIOCRUZ), Manaus, AM 69057-070, Brazil.,Fundação Oswaldo Cruz, Fiocruz, Instituto Oswaldo Cruz, Programa de Pós-Graduação em Biologia Celular e Molecular, Rio de Janeiro, RJ 21040-360, Brazil
| | - Valdinete Nascimento
- Fundação Oswaldo Cruz, Fiocruz, Instituto Leônidas e Maria Deane (ILMD-FIOCRUZ), Manaus, AM 69057-070, Brazil.,Fundação Oswaldo Cruz, Fiocruz, Instituto Oswaldo Cruz, Programa de Pós-Graduação em Biologia Celular e Molecular, Rio de Janeiro, RJ 21040-360, Brazil.,Rede Genômica de Vigilância em Saúde do Estado do Amazonas, Manaus, AM 69057-070, Brazil
| | - Victor Souza
- Fundação Oswaldo Cruz, Fiocruz, Instituto Leônidas e Maria Deane (ILMD-FIOCRUZ), Manaus, AM 69057-070, Brazil.,Fundação Oswaldo Cruz, Fiocruz, Instituto Oswaldo Cruz, Programa de Pós-Graduação em Biologia Celular e Molecular, Rio de Janeiro, RJ 21040-360, Brazil.,Rede Genômica de Vigilância em Saúde do Estado do Amazonas, Manaus, AM 69057-070, Brazil
| | - André Corado
- Fundação Oswaldo Cruz, Fiocruz, Instituto Leônidas e Maria Deane (ILMD-FIOCRUZ), Manaus, AM 69057-070, Brazil.,Fundação Oswaldo Cruz, Fiocruz, Instituto Oswaldo Cruz, Programa de Pós-Graduação em Biologia Celular e Molecular, Rio de Janeiro, RJ 21040-360, Brazil
| | - Fernanda Nascimento
- Fundação Oswaldo Cruz, Fiocruz, Instituto Leônidas e Maria Deane (ILMD-FIOCRUZ), Manaus, AM 69057-070, Brazil.,Fundação Oswaldo Cruz, Fiocruz, Instituto Leônidas e Maria Deane, Programa de Pós-Graduação em Biologia da Interação Patógeno-Hospedeiro, Manaus, AM 69057-070, Brazil
| | - Ágatha Kelly Costa
- Fundação Oswaldo Cruz, Fiocruz, Instituto Leônidas e Maria Deane (ILMD-FIOCRUZ), Manaus, AM 69057-070, Brazil
| | - Débora Duarte
- Fundação Oswaldo Cruz, Fiocruz, Instituto Leônidas e Maria Deane (ILMD-FIOCRUZ), Manaus, AM 69057-070, Brazil
| | - George Silva
- Fundação Oswaldo Cruz, Fiocruz, Instituto Leônidas e Maria Deane (ILMD-FIOCRUZ), Manaus, AM 69057-070, Brazil
| | - Matilde Mejía
- Fundação Oswaldo Cruz, Fiocruz, Instituto Leônidas e Maria Deane (ILMD-FIOCRUZ), Manaus, AM 69057-070, Brazil
| | - Karina Pessoa
- Fundação Oswaldo Cruz, Fiocruz, Instituto Leônidas e Maria Deane (ILMD-FIOCRUZ), Manaus, AM 69057-070, Brazil.,Fundação Oswaldo Cruz, Fiocruz, Instituto Leônidas e Maria Deane, Programa de Pós-Graduação em Biologia da Interação Patógeno-Hospedeiro, Manaus, AM 69057-070, Brazil
| | - Luciana Gonçalves
- Fundação de Vigilância em Saúde do Amazonas, Manaus, AM 69093-018, Brazil
| | - Maria Júlia Brandão
- Fundação Oswaldo Cruz, Fiocruz, Instituto Leônidas e Maria Deane (ILMD-FIOCRUZ), Manaus, AM 69057-070, Brazil
| | - Michele Jesus
- Fundação Oswaldo Cruz, Fiocruz, Instituto Leônidas e Maria Deane (ILMD-FIOCRUZ), Manaus, AM 69057-070, Brazil
| | - Juliane Glória
- Programa Multi-institucional de Pós-graduação em Biotecnologia, Universidade Federal do Amazonas (PPGBIOTEC-UFAM), Manaus, AM 69067-005, Brazil.,Fundação Oswaldo Cruz, Fiocruz, Instituto Leônidas e Maria Deane (ILMD-FIOCRUZ), Manaus, AM 69057-070, Brazil
| | - Marineide Silva
- Fundação de Vigilância em Saúde do Amazonas, Manaus, AM 69093-018, Brazil
| | - Tirza Mattos
- Fundação de Vigilância em Saúde do Amazonas, Manaus, AM 69093-018, Brazil
| | - Cristiano da Costa
- Fundação de Vigilância em Saúde do Amazonas, Manaus, AM 69093-018, Brazil
| | - Felipe Gomes Naveca
- Programa de Pós-graduação em Imunologia Básica e Aplicada, Universidade Federal do Amazonas (PPGIBA-UFAM), Manaus, AM 69067-005, Brazil.,Fundação Oswaldo Cruz, Fiocruz, Instituto Leônidas e Maria Deane (ILMD-FIOCRUZ), Manaus, AM 69057-070, Brazil.,Fundação Oswaldo Cruz, Fiocruz, Instituto Oswaldo Cruz, Programa de Pós-Graduação em Biologia Celular e Molecular, Rio de Janeiro, RJ 21040-360, Brazil.,Rede Genômica de Vigilância em Saúde do Estado do Amazonas, Manaus, AM 69057-070, Brazil.,Fundação Oswaldo Cruz, Fiocruz, Instituto Leônidas e Maria Deane, Programa de Pós-Graduação em Biologia da Interação Patógeno-Hospedeiro, Manaus, AM 69057-070, Brazil
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5
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Ben Ayed I, Ouarda W, Frikha F, Kammoun F, Souissi A, Ben Said M, Bouzid A, Elloumi I, Hamdani TM, Gharbi N, Baklouti N, Guirat M, Mejdoub F, Kharrat N, Boujelbene I, Abdelhedi F, Belguith N, Keskes L, Gibriel AA, Kamoun H, Triki C, Alimi AM, Masmoudi S. SRD5A3-CDG: 3D structure modeling, clinical spectrum, and computer-based dysmorphic facial recognition. Am J Med Genet A 2021; 185:1081-1090. [PMID: 33403770 DOI: 10.1002/ajmg.a.62065] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 12/02/2020] [Accepted: 12/14/2020] [Indexed: 12/12/2022]
Abstract
Pathogenic variants in Steroid 5 alpha reductase type 3 (SRD5A3) cause rare inherited congenital disorder of glycosylation known as SRD5A3-CDG (MIM# 612379). To date, 43 affected individuals have been reported. Despite the development of various dysmorphic features in significant number of patients, facial recognition entity has not yet been established for SRD5A3-CDG. Herein, we reported a novel SRD5A3 missense pathogenic variant c.460 T > C p.(Ser154Pro). The 3D structural modeling of the SRD5A3 protein revealed additional transmembrane α-helices and predicted that the p.(Ser154Pro) variant is located in a potential active site and is capable of reducing its catalytic efficiency. Based on phenotypes of our patients and all published SRD5A3-CDG cases, we identified the most common clinical features as well as some recurrent dysmorphic features such as arched eyebrows, wide eyes, shallow nasal bridge, short nose, and large mouth. Based on facial digital 2D images, we successfully designed and validated a SRD5A3-CDG computer based dysmorphic facial analysis, which achieved 92.5% accuracy. The current work integrates genotypic, 3D structural modeling and phenotypic characteristics of CDG-SRD5A3 cases with the successful development of computer tool for accurate facial recognition of CDG-SRD5A3 complex cases to assist in the diagnosis of this particular disorder globally.
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Affiliation(s)
- Ikhlas Ben Ayed
- Laboratory of Molecular and Cellular Screening Processes (LPCMC), LR15CBS07, Center of Biotechnology of Sfax, University of Sfax, Sfax, Tunisia.,Medical Genetic Department, Hedi Chaker Hospital, Sfax, Tunisia.,Faculty of Medicine of Sfax, University of Sfax, Sfax, Tunisia
| | - Wael Ouarda
- ReGIM-Lab, Research Groups in Intelligent Machines, LR11ES48, National School of Engineers of Sfax, Sfax, Tunisia
| | - Fakher Frikha
- Faculty of Sciences of Sfax (FSS), University of Sfax, Sfax, Tunisia
| | - Fatma Kammoun
- Child Neurology Department, Hedi Chaker Hospital, Sfax, Tunisia.,Research Laboratory "Neuropédiatrie", LR19ES15, Sfax University, Sfax, Tunisia
| | - Amal Souissi
- Laboratory of Molecular and Cellular Screening Processes (LPCMC), LR15CBS07, Center of Biotechnology of Sfax, University of Sfax, Sfax, Tunisia
| | - Mariem Ben Said
- Laboratory of Molecular and Cellular Screening Processes (LPCMC), LR15CBS07, Center of Biotechnology of Sfax, University of Sfax, Sfax, Tunisia
| | - Amal Bouzid
- Laboratory of Molecular and Cellular Screening Processes (LPCMC), LR15CBS07, Center of Biotechnology of Sfax, University of Sfax, Sfax, Tunisia
| | - Ines Elloumi
- Laboratory of Molecular and Cellular Screening Processes (LPCMC), LR15CBS07, Center of Biotechnology of Sfax, University of Sfax, Sfax, Tunisia
| | - Tarak M Hamdani
- ReGIM-Lab, Research Groups in Intelligent Machines, LR11ES48, National School of Engineers of Sfax, Sfax, Tunisia
| | - Nourhene Gharbi
- Medical Genetic Department, Hedi Chaker Hospital, Sfax, Tunisia.,Faculty of Medicine of Sfax, University of Sfax, Sfax, Tunisia
| | - Nesrine Baklouti
- ReGIM-Lab, Research Groups in Intelligent Machines, LR11ES48, National School of Engineers of Sfax, Sfax, Tunisia
| | - Manel Guirat
- Medical Genetic Department, Hedi Chaker Hospital, Sfax, Tunisia
| | - Fatma Mejdoub
- Medical Genetic Department, Hedi Chaker Hospital, Sfax, Tunisia
| | - Najla Kharrat
- Laboratory of Molecular and Cellular Screening Processes (LPCMC), LR15CBS07, Center of Biotechnology of Sfax, University of Sfax, Sfax, Tunisia
| | - Imene Boujelbene
- Medical Genetic Department, Hedi Chaker Hospital, Sfax, Tunisia.,Faculty of Medicine of Sfax, University of Sfax, Sfax, Tunisia
| | - Fatma Abdelhedi
- Medical Genetic Department, Hedi Chaker Hospital, Sfax, Tunisia.,Faculty of Medicine of Sfax, University of Sfax, Sfax, Tunisia
| | - Neila Belguith
- Faculty of Medicine of Sfax, University of Sfax, Sfax, Tunisia.,Laboratory of Human Molecular Genetics (LGMH), Faculty of Medicine of Sfax, University of Sfax, Sfax, Tunisia.,Department of Congenital and Hereditary Diseases, Charles Nicolle Hospital, Tunis, Tunisia
| | - Leila Keskes
- Faculty of Medicine of Sfax, University of Sfax, Sfax, Tunisia.,Laboratory of Human Molecular Genetics (LGMH), Faculty of Medicine of Sfax, University of Sfax, Sfax, Tunisia
| | - Abdullah Ahmed Gibriel
- Biochemistry and Molecular Biology Department, Faculty of Pharmacy, The British University in Egypt (BUE), Cairo, Egypt
| | - Hassen Kamoun
- Medical Genetic Department, Hedi Chaker Hospital, Sfax, Tunisia.,Faculty of Medicine of Sfax, University of Sfax, Sfax, Tunisia
| | - Chahnez Triki
- Child Neurology Department, Hedi Chaker Hospital, Sfax, Tunisia.,Research Laboratory "Neuropédiatrie", LR19ES15, Sfax University, Sfax, Tunisia
| | - Adel M Alimi
- ReGIM-Lab, Research Groups in Intelligent Machines, LR11ES48, National School of Engineers of Sfax, Sfax, Tunisia
| | - Saber Masmoudi
- Laboratory of Molecular and Cellular Screening Processes (LPCMC), LR15CBS07, Center of Biotechnology of Sfax, University of Sfax, Sfax, Tunisia
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De Siena B, Campolattano N, D'Abrosca G, Russo L, Cantillon D, Marasco R, Muscariello L, Waddell SJ, Sacco M. Characterization of the Mycobacterial MSMEG-3762/63 Efflux Pump in Mycobacterium smegmatis Drug Efflux. Front Microbiol 2020; 11:575828. [PMID: 33343518 PMCID: PMC7744416 DOI: 10.3389/fmicb.2020.575828] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Accepted: 11/10/2020] [Indexed: 01/06/2023] Open
Abstract
Multi-drug resistant tuberculosis (MDR-TB) represents a major health problem worldwide. Drug efflux and the activity of efflux transporters likely play important roles in the development of drug-tolerant and drug-resistant mycobacterial phenotypes. This study is focused on the action of a mycobacterial efflux pump as a mechanism of drug resistance. Previous studies demonstrated up-regulation of the TetR-like transcriptional regulator MSMEG_3765 in Mycobacterium smegmatis and its ortholog Rv1685c in Mycobacterium tuberculosis (Mtb) in acid-nitrosative stress conditions. MSMEG-3765 regulates the expression of the MSMEG_3762/63/65 operon, and of the orthologous region in Mtb (Rv1687c/86c/85c). MSMEG-3762 and Rv1687c are annotated as ATP-binding proteins, while MSMEG-3763 and Rv1686c are annotated as trans-membrane polypeptides, defining an ABC efflux pump in both M. smegmatis and Mtb. The two putative efflux systems share a high percentage of identity. To examine the role of the putative efflux system MSMEG-3762/63, we constructed and characterized a MSMEG-3763 deletion mutant in M. smegmatis (∆MSMEG_3763). By comparative analysis of wild type, knockout, and complemented strains, together with structural modeling and molecular docking bioinformatics analyses of the MSMEG-3763 trans-membrane protein, we define the protein complex MSMEG-3762/63 as an efflux pump. Moreover, we demonstrate involvement of this pump in biofilm development and in the extrusion of rifampicin and ciprofloxacin (CIP), antimicrobial drugs used in first- and second-line anti-TB therapies.
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Affiliation(s)
- Barbara De Siena
- Dipartimento di Scienze e Tecnologie Ambientali Biologiche e Farmaceutiche, Università degli Studi della Campania Luigi Vanvitelli, Caserta, Italy
| | - Nicoletta Campolattano
- Dipartimento di Scienze e Tecnologie Ambientali Biologiche e Farmaceutiche, Università degli Studi della Campania Luigi Vanvitelli, Caserta, Italy
| | - Gianluca D'Abrosca
- Dipartimento di Scienze e Tecnologie Ambientali Biologiche e Farmaceutiche, Università degli Studi della Campania Luigi Vanvitelli, Caserta, Italy
| | - Luigi Russo
- Dipartimento di Scienze e Tecnologie Ambientali Biologiche e Farmaceutiche, Università degli Studi della Campania Luigi Vanvitelli, Caserta, Italy
| | - Daire Cantillon
- Department of Global Health and Infection, Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom
| | - Rosangela Marasco
- Dipartimento di Scienze e Tecnologie Ambientali Biologiche e Farmaceutiche, Università degli Studi della Campania Luigi Vanvitelli, Caserta, Italy
| | - Lidia Muscariello
- Dipartimento di Scienze e Tecnologie Ambientali Biologiche e Farmaceutiche, Università degli Studi della Campania Luigi Vanvitelli, Caserta, Italy
| | - Simon J Waddell
- Department of Global Health and Infection, Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom
| | - Margherita Sacco
- Dipartimento di Scienze e Tecnologie Ambientali Biologiche e Farmaceutiche, Università degli Studi della Campania Luigi Vanvitelli, Caserta, Italy
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7
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Abstract
The grass family (Poaceae) is one of the largest families of flowering plants, growing in all climatic zones of all continents, which includes species of exceptional economic importance. The high adaptability of grasses to adverse environmental factors implies the existence of efficient resistance mechanisms that involve the production of antimicrobial peptides (AMPs). Of plant AMPs, defensins represent one of the largest and best-studied families. Although wheat and barley seed γ-thionins were the first defensins isolated from plants, the functional characterization of grass defensins is still in its infancy. In this review, we summarize the current knowledge of the characterized defensins from cultivated and selected wild-growing grasses. For each species, isolation of defensins or production by heterologous expression, peptide structure, biological activity, and structure–function relationship are described, along with the gene expression data. We also provide our results on in silico mining of defensin-like sequences in the genomes of all described grass species and discuss their potential functions. The data presented will form the basis for elucidation of the mode of action of grass defensins and high adaptability of grasses to environmental stress and will provide novel potent molecules for practical use in medicine and agriculture.
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8
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Bondarchuk TV, Lozhko DM, Shalak VF, Fatalska A, Szczepanowski RH, Dadlez M, Negrutskii BS, El'skaya AV. The protein-binding N-terminal domain of human translation elongation factor 1Bβ possesses a dynamic α-helical structural organization. Int J Biol Macromol 2019; 126:899-907. [PMID: 30590147 DOI: 10.1016/j.ijbiomac.2018.12.220] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Revised: 12/19/2018] [Accepted: 12/22/2018] [Indexed: 10/27/2022]
Abstract
Translation elongation factor 1Bβ (eEF1Bβ) is a metazoan-specific protein involved into the macromolecular eEF1B complex, containing also eEF1Bα and eEF1Bγ subunits. Both eEF1Bα and eEF1Bβ ensure the guanine nucleotide exchange on eEF1A while eEF1Bγ is thought to have a structural role. The structures of the eEF1Bβ catalytic C-terminal domain and neighboring central acidic region are known while the structure of the protein-binding N-terminal domain remains unidentified which prevents clear understanding of architecture of the eEF1B complex. Here we show that the N-terminal domain comprising initial 77 amino acids of eEF1Bβ, eEF1Bβ(1-77), is a monomer in solution with increased hydrodynamic volume. This domain binds eEF1Bγ in equimolar ratio. The CD spectra reveal that the secondary structure of eEF1Bβ(1-77) consists predominantly of α-helices and a portion of disordered region. Very rapid hydrogen/deuterium exchange for all eEF1Bβ(1-77) peptides favors a flexible tertiary organization of eEF1Bβ(1-77). Computational modeling of eEF1Bβ(1-77) suggests several conformation states each composed of three α-helices connected by flexible linkers. Altogether, the data imply that the protein-binding domain of eEF1Bβ shows flexible spatial organization which may be needed for interaction with eEF1Bγ or other protein partners.
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Affiliation(s)
- Tetiana V Bondarchuk
- Institute of Molecular Biology and Genetics, NAS of Ukraine, 150, Zabolotnogo St., 03680 Kyiv, Ukraine
| | - Dmytro M Lozhko
- Institute of Molecular Biology and Genetics, NAS of Ukraine, 150, Zabolotnogo St., 03680 Kyiv, Ukraine
| | - Vyacheslav F Shalak
- Institute of Molecular Biology and Genetics, NAS of Ukraine, 150, Zabolotnogo St., 03680 Kyiv, Ukraine.
| | - Agnieszka Fatalska
- Institute of Biochemistry and Biophysics, PAN, Pawinskiego 5a, 02-109 Warsaw, Poland
| | - Roman H Szczepanowski
- International Institute of Molecular and Cell Biology, Trojdena 4, 02-109 Warsaw, Poland
| | - Michał Dadlez
- Institute of Biochemistry and Biophysics, PAN, Pawinskiego 5a, 02-109 Warsaw, Poland
| | - Boris S Negrutskii
- Institute of Molecular Biology and Genetics, NAS of Ukraine, 150, Zabolotnogo St., 03680 Kyiv, Ukraine
| | - Anna V El'skaya
- Institute of Molecular Biology and Genetics, NAS of Ukraine, 150, Zabolotnogo St., 03680 Kyiv, Ukraine
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Fendri A, Frikha F, Louati H, Bou Ali M, Gargouri H, Gargouri Y, Miled N. Cloning and molecular modeling of a thermostable carboxylesterase from the chicken uropygial glands. J Mol Graph Model 2014; 56:1-9. [PMID: 25541525 DOI: 10.1016/j.jmgm.2014.11.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2014] [Revised: 11/24/2014] [Accepted: 11/30/2014] [Indexed: 01/09/2023]
Abstract
Starting from total uropygial glands mRNAs, chicken uropygial carboxylesterase (cuCES) cDNA was synthesized by RT-PCR and cloned into the PGEM-T vector. Amino acid sequence of the cuCES is compared to that of human liver carboxylesterase 1 (hCES1). Given the high amino acid sequence homology between the two enzymes, a 3-D structure model of the chicken carboxylesterase was built using the structure of hCES1 as template. By following this model and utilizing molecular dynamics (MD) simulations, the resistance of the chicken carboxylesterase at high temperatures could be explained. The docking of substrate analogs into the cuCES active site was used to explain the fact that the chicken carboxylesterase cannot hydrolyze efficiently large substrate molecules.
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Affiliation(s)
- Ahmed Fendri
- Laboratoire de Biochimie et de Génie Enzymatique des Lipases, Ecole Nationale d'Ingénieurs de Sfax (ENIS), route de Soukra, BPW 3038 Sfax, Tunisia.
| | - Fakher Frikha
- Laboratoire de Biochimie et de Génie Enzymatique des Lipases, Ecole Nationale d'Ingénieurs de Sfax (ENIS), route de Soukra, BPW 3038 Sfax, Tunisia
| | - Hanen Louati
- Laboratoire de Biochimie et de Génie Enzymatique des Lipases, Ecole Nationale d'Ingénieurs de Sfax (ENIS), route de Soukra, BPW 3038 Sfax, Tunisia
| | - Madiha Bou Ali
- Laboratoire de Biochimie et de Génie Enzymatique des Lipases, Ecole Nationale d'Ingénieurs de Sfax (ENIS), route de Soukra, BPW 3038 Sfax, Tunisia
| | - Hela Gargouri
- Laboratoire de Biochimie et de Génie Enzymatique des Lipases, Ecole Nationale d'Ingénieurs de Sfax (ENIS), route de Soukra, BPW 3038 Sfax, Tunisia
| | - Youssef Gargouri
- Laboratoire de Biochimie et de Génie Enzymatique des Lipases, Ecole Nationale d'Ingénieurs de Sfax (ENIS), route de Soukra, BPW 3038 Sfax, Tunisia
| | - Nabil Miled
- Laboratoire de Biochimie et de Génie Enzymatique des Lipases, Ecole Nationale d'Ingénieurs de Sfax (ENIS), route de Soukra, BPW 3038 Sfax, Tunisia
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Launay G, Sanz G, Pajot-Augy E, Gibrat JF. Modeling of mammalian olfactory receptors and docking of odorants. Biophys Rev 2012; 4:255-269. [PMID: 28510073 DOI: 10.1007/s12551-012-0080-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2012] [Accepted: 05/24/2012] [Indexed: 11/29/2022] Open
Abstract
Olfactory receptors (ORs) belong to the superfamily of G protein-coupled receptors (GPCRs), the second largest class of genes after those related to immunity, and account for about 3 % of mammalian genomes. ORs are present in all multicellular organisms and represent more than half the GPCRs in mammalian species (e.g., the mouse OR repertoire contains >1,000 functional genes). ORs are mainly expressed in the olfactory epithelium where they detect odorant molecules, but they are also expressed in a number of other cells, such as sperm cells, although their functions in these cells remain mostly unknown. It has recently been reported that ORs are present in tumoral tissues where they are expressed at different levels than in healthy tissues. A specific OR is over-expressed in prostate cancer cells, and activation of this OR has been shown to inhibit the proliferation of these cells. Odorant stimulation of some of these receptors results in inhibition of cell proliferation. Even though their biological role has not yet been elucidated, these receptors might constitute new targets for diagnosis and therapeutics. It is important to understand the activation mechanism of these receptors at the molecular level, in particular to be able to predict which ligands are likely to activate a particular receptor ('deorphanization') or to design antagonists for a given receptor. In this review, we describe the in silico methodologies used to model the three-dimensional (3D) structure of ORs (in the more general framework of GPCR modeling) and to dock ligands into these 3D structures.
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Affiliation(s)
- Guillaume Launay
- Equipe interactions hôte-pathogène, Bases Moléculaires et Structurales des Systèmes Infectieux, UMR5086 CNRS/Université de Lyon1, 7 Passage du Vercors, Lyon cedex 07, France
| | - Guenhaël Sanz
- Neurobiologie de l'Olfaction et Modélisation en Imagerie UR1197, INRA, 78350, Jouy-en-Josas, France
| | - Edith Pajot-Augy
- Neurobiologie de l'Olfaction et Modélisation en Imagerie UR1197, INRA, 78350, Jouy-en-Josas, France
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Ataya FS, Fouad D, Malik A, Saeed HM. Molecular cloning and 3D structure modeling of APEX1, DNA base excision repair enzyme from the Camel, Camelus dromedarius. Int J Mol Sci 2012; 13:8578-8596. [PMID: 22942721 PMCID: PMC3430252 DOI: 10.3390/ijms13078578] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2012] [Revised: 06/15/2012] [Accepted: 06/27/2012] [Indexed: 11/26/2022] Open
Abstract
The domesticated one-humped camel, Camelus dromedarius, is one of the most important animals in the Arabian Desert. It is exposed most of its life to both intrinsic and extrinsic genotoxic factors that are known to cause gross DNA alterations in many organisms. Ionic radiation and sunlight are known producers of Reactive Oxygen Species (ROS), one of the causes for DNA lesions. The damaged DNA is repaired by many enzymes, among of them Base Excision Repair enzymes, producing the highly mutagenic apurinic/apyrimidinicsites (AP sites). Therefore, recognition of AP sites is fundamental to cell/organism survival. In the present work, the full coding sequence of a putative cAPEX1 gene was amplified for the first time from C. dromedarius by RT-PCR and cloned (NCBI accession number are HM209828 and ADJ96599 for nucleotides and amino acids, respectively). cDNA sequencing was deduced to be 1041 nucleotides, of which 954 nucleotides encode a protein of 318 amino acids, similar to the coding region of the APEX1 gene and the protein from many other species. The calculated molecular weight and isoelectric point of cAPEX1 using Bioinformatics tools was 35.5 kDa and 8.11, respectively. The relative expressions of cAPEX1 in camel kidney, spleen, lung and testis were examined using qPCR and compared with that of the liver using a 18S ribosomal subunit as endogenous control. The highest level of cAPEX1 transcript was found in the testis; 325% higher than the liver, followed by spleen (87%), kidney (20%) and lung (5%), respectively. The cAPEX1 is 94%–97% similar to their mammalian counterparts. Phylogenetic analysis revealed that cAPEX1 is grouped together with that of S. scrofa. The predicted 3D structure of cAPEX1 has similar folds and topology with the human (hAPEX1). The root-mean-square deviation (rmsd) between cAPEX1 and hAPEX1 was 0.582 and the Q-score was 0.939.
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Affiliation(s)
- Farid Shokry Ataya
- Department of Biochemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia
- Department of Molecular Biology, Genetic Engineering Division, National Research Center, Dokki, Cairo 12311, Egypt
- Author to whom correspondence should be addressed; E-Mail: ; Tel.: +966-14673068; Fax: +966-14675791
| | - Dalia Fouad
- Department of Zoology, College of Science, King Saud University, P.O. Box 22452, Riyadh 11459, Saudi Arabia; E-Mail:
| | - Ajamaluddin Malik
- Protein Research Chair Lab, Department of Biochemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia; E-Mail:
| | - Hesham Mahmoud Saeed
- Genome Research Chair Lab, Department of Biochemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia; E-Mail:
- Department of Biotechnology, Institute of Graduate Studies and Research, Alexandria University, P.O. Box 832, Alexandria 21526, Egypt
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