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Singh V, Rai R, Mathew BJ, Chourasia R, Singh AK, Kumar A, Chaurasiya SK. Phospholipase C: underrated players in microbial infections. Front Cell Infect Microbiol 2023; 13:1089374. [PMID: 37139494 PMCID: PMC10149971 DOI: 10.3389/fcimb.2023.1089374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 03/21/2023] [Indexed: 05/05/2023] Open
Abstract
During bacterial infections, one or more virulence factors are required to support the survival, growth, and colonization of the pathogen within the host, leading to the symptomatic characteristic of the disease. The outcome of bacterial infections is determined by several factors from both host as well as pathogen origin. Proteins and enzymes involved in cellular signaling are important players in determining the outcome of host-pathogen interactions. phospholipase C (PLCs) participate in cellular signaling and regulation by virtue of their ability to hydrolyze membrane phospholipids into di-acyl-glycerol (DAG) and inositol triphosphate (IP3), which further causes the activation of other signaling pathways involved in various processes, including immune response. A total of 13 PLC isoforms are known so far, differing in their structure, regulation, and tissue-specific distribution. Different PLC isoforms have been implicated in various diseases, including cancer and infectious diseases; however, their roles in infectious diseases are not clearly understood. Many studies have suggested the prominent roles of both host and pathogen-derived PLCs during infections. PLCs have also been shown to contribute towards disease pathogenesis and the onset of disease symptoms. In this review, we have discussed the contribution of PLCs as a determinant of the outcome of host-pathogen interaction and pathogenesis during bacterial infections of human importance.
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Affiliation(s)
- Vinayak Singh
- Molecular Signalling Lab, Department of Biological Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, Madhya Pradesh, India
| | - Rupal Rai
- Molecular Signalling Lab, Department of Biological Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, Madhya Pradesh, India
| | - Bijina J. Mathew
- Molecular Signalling Lab, Department of Biological Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, Madhya Pradesh, India
| | - Rashmi Chourasia
- Department of Chemistry, IES University, Bhopal, Madhya Pradesh, India
| | - Anirudh K. Singh
- School of Sciences, SAM Global University, Raisen, Madhya Pradesh, India
| | - Awanish Kumar
- Department of Biotechnology, National Institute of Technology, Raipur, Chhattisgarh, India
| | - Shivendra K. Chaurasiya
- Molecular Signalling Lab, Department of Biological Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, Madhya Pradesh, India
- *Correspondence: Shivendra K. Chaurasiya,
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Seifi Moroudi R, Ansari Mahyari S, Vaez Torshizi R, Lanjanian H, Masoudi-Nejad A. Identification of new genes and quantitative trait locis associated with growth curve parameters in F2 chicken population using genome-wide association study. Anim Genet 2021; 52:171-184. [PMID: 33428266 DOI: 10.1111/age.13038] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/26/2020] [Indexed: 11/30/2022]
Abstract
The markers which are correlated with the growth curve parameters help in understanding the characteristics of individual growth during the rearing of livestock. This study aimed to identify a set of biomarkers through a GWAS for growth curve parameters in crossbred chickens using the Illumnia 60K chicken SNP Beadchip. Growth data were collected from a total of 301 birds from cross of a broiler line and native chickens. Using the Gompertz-Laird model, two growth curve parameters, the instantaneous growth rate per day (L) and the coefficient of relative growth or maturing index (k), were estimated. The L and k were used to estimate five derived parameters, namely asymptotic (mature) body weight, body weight at inflection point, age at the inflection point, average growth rate and maximum growth rate. These parameters were considered as phenotypic values in the GWAS based on generalized linear models. The results of the GWAS indicated 21 significant markers, which were located near or within 46 genes. A number of these genes, such as GH, RET, GRB14, FTSJ3 and CCK, are important for growth and meat quality in chickens, and some of them are growth related in other species such as sheep and cattle (GPI, XIRP2, GALNTL6, BMS1, THSD4, TRHDE, SHISA9, ACSL6 and DYNC1LI2). The other genes are associated with developmental biological pathways. These genes are particuarly related to body weight, average daily gain and growth QTL. The results of this study can shed light on the genetic mechanism of biological functions of growth factors in broiler chickens, which is useful for developing management practices and accelerating genetic progress in breeding programs.
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Affiliation(s)
- R Seifi Moroudi
- Department of Animal Science, College of Agriculture, Isfahan University of Technology, PO Box 841583111, Isfahan, Iran
| | - S Ansari Mahyari
- Department of Animal Science, College of Agriculture, Isfahan University of Technology, PO Box 841583111, Isfahan, Iran
| | - R Vaez Torshizi
- Department of Animal Science, Faculty of Agriculture, Tarbiat Modares University, Tehran, 14115-336, Iran
| | - H Lanjanian
- Laboratory of Systems Biology and Bioinformatics, Institute of Biochemistry and Biophysics, University of Tehran, Tehran, 1417614411, Iran
| | - A Masoudi-Nejad
- Laboratory of Systems Biology and Bioinformatics, Institute of Biochemistry and Biophysics, University of Tehran, Tehran, 1417614411, Iran
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3
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Narita A, Nagai M, Mizuno S, Ogishima S, Tamiya G, Ueki M, Sakurai R, Makino S, Obara T, Ishikuro M, Yamanaka C, Matsubara H, Kuniyoshi Y, Murakami K, Ueno F, Noda A, Kobayashi T, Kobayashi M, Usuzaki T, Ohseto H, Hozawa A, Kikuya M, Metoki H, Kure S, Kuriyama S. Clustering by phenotype and genome-wide association study in autism. Transl Psychiatry 2020; 10:290. [PMID: 32807774 PMCID: PMC7431539 DOI: 10.1038/s41398-020-00951-x] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 07/15/2020] [Accepted: 07/22/2020] [Indexed: 12/12/2022] Open
Abstract
Autism spectrum disorder (ASD) has phenotypically and genetically heterogeneous characteristics. A simulation study demonstrated that attempts to categorize patients with a complex disease into more homogeneous subgroups could have more power to elucidate hidden heritability. We conducted cluster analyses using the k-means algorithm with a cluster number of 15 based on phenotypic variables from the Simons Simplex Collection (SSC). As a preliminary study, we conducted a conventional genome-wide association study (GWAS) with a data set of 597 ASD cases and 370 controls. In the second step, we divided cases based on the clustering results and conducted GWAS in each of the subgroups vs controls (cluster-based GWAS). We also conducted cluster-based GWAS on another SSC data set of 712 probands and 354 controls in the replication stage. In the preliminary study, which was conducted in conventional GWAS design, we observed no significant associations. In the second step of cluster-based GWASs, we identified 65 chromosomal loci, which included 30 intragenic loci located in 21 genes and 35 intergenic loci that satisfied the threshold of P < 5.0 × 10-8. Some of these loci were located within or near previously reported candidate genes for ASD: CDH5, CNTN5, CNTNAP5, DNAH17, DPP10, DSCAM, FOXK1, GABBR2, GRIN2A5, ITPR1, NTM, SDK1, SNCA, and SRRM4. Of these 65 significant chromosomal loci, rs11064685 located within the SRRM4 gene had a significantly different distribution in the cases vs controls in the replication cohort. These findings suggest that clustering may successfully identify subgroups with relatively homogeneous disease etiologies. Further cluster validation and replication studies are warranted in larger cohorts.
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Affiliation(s)
- Akira Narita
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Masato Nagai
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Satoshi Mizuno
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Soichi Ogishima
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Gen Tamiya
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.7597.c0000000094465255RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
| | - Masao Ueki
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.7597.c0000000094465255RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
| | - Rieko Sakurai
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.7597.c0000000094465255RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
| | - Satoshi Makino
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.7597.c0000000094465255RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
| | - Taku Obara
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Mami Ishikuro
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Chizuru Yamanaka
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Hiroko Matsubara
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Yasutaka Kuniyoshi
- grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Keiko Murakami
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Fumihiko Ueno
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Aoi Noda
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Tomoko Kobayashi
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Mika Kobayashi
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Takuma Usuzaki
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Hisashi Ohseto
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Atsushi Hozawa
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Masahiro Kikuya
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.264706.10000 0000 9239 9995School of Medicine, Teikyo University, Tokyo, Japan
| | - Hirohito Metoki
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.412755.00000 0001 2166 7427School of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Shigeo Kure
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Graduate School of Medicine, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan. .,Graduate School of Medicine, Tohoku University, Sendai, Japan. .,International Research Institute of Disaster Science, Tohoku University, Sendai, Miyagi, Japan.
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Fais P, Leopizzi M, Di Maio V, Longo L, Della Rocca C, Tagliaro F, Bortolotti F, Lo Vasco VR. Phosphoinositide-specific phospholipase C in normal human liver and in alcohol abuse. J Cell Biochem 2019; 120:7907-7917. [PMID: 30426534 DOI: 10.1002/jcb.28067] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2018] [Accepted: 10/22/2018] [Indexed: 01/24/2023]
Abstract
The phosphoinositide (PI) signal transduction pathway participates in liver metabolism. Abnormal activity or expression of PI-specific phospholipase C (PLC) enzymes has been described in different liver diseases. We resume the role of the PI metabolism in liver and PLC abnormalities in different liver diseases. Moreover, we present the results of PLC analyses in a normal human liver and an alcohol-damaged liver. PLC enzymes and the expression of the corresponding genes in liver biopsies from individuals deceased for complications of the alcoholic liver disease (ALD) at different stages compared with normal controls (deceased individuals with histologically normal livers without alcohol addiction anamnesis) were analyzed by using immunohistochemistry and molecular biology techniques. The expression panel of PLCs was described in normal and alcohol abuse liver. Our observations suggest that the regulation of PLC expression might be due to posttranscriptional events and that alcohol affects the epigenetic control of PLC expression belonging to PI signaling. We also describe the alternate expression of PLCB1 and PLCH1 genes in liver. Our results corroborate literature data suggesting that PLC enzymes are differently expressed in normal versus pathological liver, playing a role in the histopathogenesis of liver tissue damage. The expression and/or localization of selected PLC isoforms is especially affected in alcohol-related liver tissue histopathology. Our present observations confirm that the modulation of protein synthesis plays a role in the regulation of PLC enzymes. We also suggest that this modulation might act at the transcription level. Further studies are required to investigate related epigenetic mechanisms.
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Affiliation(s)
- Paolo Fais
- Department of Medical and Surgical Sciences, Unit of Legal Medicine, University of Bologna, Bologna, Italy
| | - Martina Leopizzi
- Department of Medico-Surgical Sciences and Biotechnologies, Polo Pontino-Sapienza University, Latina, Italy
| | - Valeria Di Maio
- Department of Medico-Surgical Sciences and Biotechnologies, Polo Pontino-Sapienza University, Latina, Italy
| | - Lucia Longo
- Department of Sensory Organs, Sapienza University of Rome, Rome, Italy
| | - Carlo Della Rocca
- Department of Medico-Surgical Sciences and Biotechnologies, Polo Pontino-Sapienza University, Latina, Italy
| | - Franco Tagliaro
- Department of Medical and Surgical Sciences, Unit of Legal Medicine, University of Bologna, Bologna, Italy.,Department of Medico-Surgical Sciences and Biotechnologies, Polo Pontino-Sapienza University, Latina, Italy.,Department of Sensory Organs, Sapienza University of Rome, Rome, Italy.,Department of Diagnostics and Public Health, Unit of Forensic Medicine, University of Verona, Verona, Italy
| | - Federica Bortolotti
- Department of Medical and Surgical Sciences, Unit of Legal Medicine, University of Bologna, Bologna, Italy.,Department of Medico-Surgical Sciences and Biotechnologies, Polo Pontino-Sapienza University, Latina, Italy.,Department of Sensory Organs, Sapienza University of Rome, Rome, Italy.,Department of Diagnostics and Public Health, Unit of Forensic Medicine, University of Verona, Verona, Italy
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Arastoo M, Hacker C, Popovics P, Lucocq JM, Stewart AJ. Phospholipase C-η2 interacts with nuclear and cytoplasmic LIMK-1 during retinoic acid-stimulated neurite growth. Histochem Cell Biol 2015; 145:163-73. [PMID: 26671787 PMCID: PMC4735258 DOI: 10.1007/s00418-015-1390-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/24/2015] [Indexed: 01/22/2023]
Abstract
Neurite growth is central to the formation and differentiation of functional neurons, and recently, an essential role for phospholipase C-η2 (PLCη2) in neuritogenesis was revealed. Here we investigate the function of PLCη2 in neuritogenesis using Neuro2A cells, which upon stimulation with retinoic acid differentiate and form neurites. We first investigated the role of the PLCη2 calcium-binding EF-hand domain, a domain that is known to be required for PLCη2 activation. To do this, we quantified neurite outgrowth in Neuro2A cells, stably overexpressing wild-type PLCη2 and D256A (EF-hand) and H460Q (active site) PLCη2 mutants. Retinoic acid-induced neuritogenesis was highly dependent on PLCη2 activity, with the H460Q mutant exhibiting a strong dominant-negative effect. Expression of the D256A mutant had little effect on neurite growth relative to the control, suggesting that calcium-directed activation of PLCη2 is not essential to this process. We next investigated which cellular compartments contain endogenous PLCη2 by comparing immunoelectron microscopy signals over control and knockdown cell lines. When signals were analyzed to reveal specific labeling for PLCη2, it was found to be localized predominantly over the nucleus and cytosol. Furthermore in these compartments (and also in growing neurites), a proximity ligand assay revealed that PLCη2 specifically interacts with LIMK-1 in Neuro2A cells. Taken together, these data emphasize the importance of the PLCη2 EF-hand domain and articulation of PLCη2 with LIMK-1 in regulating neuritogenesis.
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Affiliation(s)
- Mohammed Arastoo
- School of Medicine, Medical and Biological Sciences Building, North Haugh, University of St Andrews, St Andrews, Fife, KY16 9TF, UK
| | - Christian Hacker
- School of Medicine, Medical and Biological Sciences Building, North Haugh, University of St Andrews, St Andrews, Fife, KY16 9TF, UK
- Bioimaging Centre, Geoffrey Pope Building, College of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4QD, UK
| | - Petra Popovics
- School of Medicine, Medical and Biological Sciences Building, North Haugh, University of St Andrews, St Andrews, Fife, KY16 9TF, UK
- Veterans Affairs Medical Center, Miami, FL, 33125, USA
| | - John M Lucocq
- School of Medicine, Medical and Biological Sciences Building, North Haugh, University of St Andrews, St Andrews, Fife, KY16 9TF, UK
| | - Alan J Stewart
- School of Medicine, Medical and Biological Sciences Building, North Haugh, University of St Andrews, St Andrews, Fife, KY16 9TF, UK.
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