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Mauceri R, Coppini M, Vacca D, Bertolazzi G, Cancila V, Tripodo C, Campisi G. No Clear Clustering Dysbiosis from Salivary Microbiota Analysis by Long Sequencing Reads in Patients Affected by Oral Squamous Cell Carcinoma: A Single Center Study. Cancers (Basel) 2023; 15:4211. [PMID: 37686487 PMCID: PMC10486367 DOI: 10.3390/cancers15174211] [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: 06/29/2023] [Revised: 08/17/2023] [Accepted: 08/18/2023] [Indexed: 09/10/2023] Open
Abstract
BACKGROUND Advancements in DNA sequencing technology have facilitated the assessment of the connection between the oral microbiome and various diseases. The aim of the present study was to investigate the salivary microbiota composition employing for the first time in the literature the Oxford Nanopore Technology in patients affected by oral squamous cell carcinoma (OSCC). METHODS Unstimulated saliva samples of 31 patients were collected (24 OSCC patients and 7 controls). DNA was extracted using the QIAamp DNA Blood Kit and metagenomic long sequencing reads were performed using the MinION device. RESULTS In the OSCC group, 13 were males and 11 were females, with a mean age of 65.5 ± 13.9 years; in the control group, 5 were males and 2 were females, with a mean age of 51.4 ± 19.2 years. The border of the tongue was the most affected OSCC site. The microorganisms predominantly detected in OSCC patients were Prevotella, Chlamydia, Tissierellia, Calothrix, Leotiomycetes, Firmicutes and Zetaproteobacteria. CONCLUSIONS This study confirmed the predominance of periodontopathic bacteria in the salivary microbiome in the OSCC group. If a direct correlation between oral dysbiosis and OSCC onset was proven, it could lead to new prevention strategies and early diagnostic tools.
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Affiliation(s)
- Rodolfo Mauceri
- Department of Surgical, Oncological and Oral Sciences, University of Palermo, 90127 Palermo, Italy; (R.M.); (D.V.); (G.C.)
- Unit of Oral Medicine and Dentistry for Frail Patients, Department of Rehabilitation, Fragility and Continuity of Care, University Hospital Palermo, 90127 Palermo, Italy
| | - Martina Coppini
- Department of Surgical, Oncological and Oral Sciences, University of Palermo, 90127 Palermo, Italy; (R.M.); (D.V.); (G.C.)
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, 90100 Messina, Italy
| | - Davide Vacca
- Department of Surgical, Oncological and Oral Sciences, University of Palermo, 90127 Palermo, Italy; (R.M.); (D.V.); (G.C.)
- Tumor Immunology Unit, Department of Sciences for Health Promotion and Mother-Child Care “G. D’Alessandro”, University of Palermo, 90127 Palermo, Italy; (G.B.); (V.C.); (C.T.)
| | - Giorgio Bertolazzi
- Tumor Immunology Unit, Department of Sciences for Health Promotion and Mother-Child Care “G. D’Alessandro”, University of Palermo, 90127 Palermo, Italy; (G.B.); (V.C.); (C.T.)
- Department of Economics, Business and Statistics, University of Palermo, 90128 Palermo, Italy
| | - Valeria Cancila
- Tumor Immunology Unit, Department of Sciences for Health Promotion and Mother-Child Care “G. D’Alessandro”, University of Palermo, 90127 Palermo, Italy; (G.B.); (V.C.); (C.T.)
| | - Claudio Tripodo
- Tumor Immunology Unit, Department of Sciences for Health Promotion and Mother-Child Care “G. D’Alessandro”, University of Palermo, 90127 Palermo, Italy; (G.B.); (V.C.); (C.T.)
| | - Giuseppina Campisi
- Department of Surgical, Oncological and Oral Sciences, University of Palermo, 90127 Palermo, Italy; (R.M.); (D.V.); (G.C.)
- Unit of Oral Medicine and Dentistry for Frail Patients, Department of Rehabilitation, Fragility and Continuity of Care, University Hospital Palermo, 90127 Palermo, Italy
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Florea L, Payer L, Antonescu C, Yang G, Burns K. Detection of Alu Exonization Events in Human Frontal Cortex From RNA-Seq Data. Front Mol Biosci 2021; 8:727537. [PMID: 34568430 PMCID: PMC8460874 DOI: 10.3389/fmolb.2021.727537] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 08/30/2021] [Indexed: 11/15/2022] Open
Abstract
Alu exonization events functionally diversify the transcriptome, creating alternative mRNA isoforms and accounting for an estimated 5% of the alternatively spliced (skipped) exons in the human genome. We developed computational methods, implemented into a software called Alubaster, for detecting incorporation of Alu sequences in mRNA transcripts from large scale RNA-seq data sets. The approach detects Alu sequences derived from both fixed and polymorphic Alu elements, including Alu insertions missing from the reference genome. We applied our methods to 117 GTEx human frontal cortex samples to build and characterize a collection of Alu-containing mRNAs. In particular, we detected and characterized Alu exonizations occurring at 870 fixed Alu loci, of which 237 were novel, as well as hundreds of putative events involving Alu elements that are polymorphic variants or rare alleles not present in the reference genome. These methods and annotations represent a unique and valuable resource that can be used to understand the characteristics of Alu-containing mRNAs and their tissue-specific expression patterns.
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Affiliation(s)
- Liliana Florea
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States.,Department of Computer Science, Johns Hopkins University, Baltimore, MD, United States
| | - Lindsay Payer
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States.,Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Corina Antonescu
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Guangyu Yang
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States.,Department of Computer Science, Johns Hopkins University, Baltimore, MD, United States
| | - Kathleen Burns
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States.,Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, United States.,Department of Pathology, Dana-Farber Cancer Institute, Boston, MA, United States.,Harvard Medical School, Boston, MA, United States
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Reinert K, Dadi TH, Ehrhardt M, Hauswedell H, Mehringer S, Rahn R, Kim J, Pockrandt C, Winkler J, Siragusa E, Urgese G, Weese D. The SeqAn C++ template library for efficient sequence analysis: A resource for programmers. J Biotechnol 2017; 261:157-168. [PMID: 28888961 DOI: 10.1016/j.jbiotec.2017.07.017] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2017] [Revised: 07/17/2017] [Accepted: 07/19/2017] [Indexed: 11/27/2022]
Abstract
BACKGROUND The use of novel algorithmic techniques is pivotal to many important problems in life science. For example the sequencing of the human genome (Venter et al., 2001) would not have been possible without advanced assembly algorithms and the development of practical BWT based read mappers have been instrumental for NGS analysis. However, owing to the high speed of technological progress and the urgent need for bioinformatics tools, there was a widening gap between state-of-the-art algorithmic techniques and the actual algorithmic components of tools that are in widespread use. We previously addressed this by introducing the SeqAn library of efficient data types and algorithms in 2008 (Döring et al., 2008). RESULTS The SeqAn library has matured considerably since its first publication 9 years ago. In this article we review its status as an established resource for programmers in the field of sequence analysis and its contributions to many analysis tools. CONCLUSIONS We anticipate that SeqAn will continue to be a valuable resource, especially since it started to actively support various hardware acceleration techniques in a systematic manner.
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Affiliation(s)
- Knut Reinert
- Algorithmic Bioinformatics, Institute for Bioinformatics, FU Berlin, Takustrasse 9, 14195 Berlin, Germany.
| | - Temesgen Hailemariam Dadi
- Algorithmic Bioinformatics, Institute for Bioinformatics, FU Berlin, Takustrasse 9, 14195 Berlin, Germany
| | - Marcel Ehrhardt
- Algorithmic Bioinformatics, Institute for Bioinformatics, FU Berlin, Takustrasse 9, 14195 Berlin, Germany
| | - Hannes Hauswedell
- Algorithmic Bioinformatics, Institute for Bioinformatics, FU Berlin, Takustrasse 9, 14195 Berlin, Germany
| | - Svenja Mehringer
- Algorithmic Bioinformatics, Institute for Bioinformatics, FU Berlin, Takustrasse 9, 14195 Berlin, Germany
| | - René Rahn
- Algorithmic Bioinformatics, Institute for Bioinformatics, FU Berlin, Takustrasse 9, 14195 Berlin, Germany
| | - Jongkyu Kim
- Efficient Algorithms for -Omics Data, Max Planck Institute for Molecular Genetics, Ihnestrasse 62-73, 14195 Berlin, Germany
| | - Christopher Pockrandt
- Efficient Algorithms for -Omics Data, Max Planck Institute for Molecular Genetics, Ihnestrasse 62-73, 14195 Berlin, Germany
| | - Jörg Winkler
- Efficient Algorithms for -Omics Data, Max Planck Institute for Molecular Genetics, Ihnestrasse 62-73, 14195 Berlin, Germany
| | | | - Gianvito Urgese
- Department of Control and Computer Engineering, Politecnico di Torino, Italy
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Navarrete HP, Soler LH, Mares RE, Ramos MA. Frequency of Alu insertions within the ACE and PR loci in Northwestern Mexicans. BMC Res Notes 2017; 10:339. [PMID: 28750672 PMCID: PMC5530943 DOI: 10.1186/s13104-017-2673-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Accepted: 07/22/2017] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVE Presently, non-LTR retrotransposons are the most active mobile elements in the human genome. Among these, Alu elements are highly represented in the modern population. Worldwide, distribution of Alu polymorphisms (insertion/deletion; I/D) shows variability between different populations. Two Alu insertion loci, ACE and PR, are significant biomarkers that have served in several genotype-phenotype association studies. In Mexico, studies concerning the frequency of these biomarkers have been conducted mainly in subpopulations from central and southern regions. Here, we screened a population sample of the northwestern region to gain further knowledge regarding the prevalence of Alu polymorphisms within ACE and PR loci. RESULTS For ACE locus, the observed genotype frequencies were 26.5, 51.0 and 22.5% for II, ID, and DD, respectively; and allelic frequencies for I and D were 52 and 48%. Whereas respective genotype frequencies for PR locus were 2.7, 26.5 and 70.8%, and the corresponding allele frequencies were 16 and 84%. Furthermore, the insertion frequency within ACE locus was similar between central, western and northwestern subpopulations, and rather higher in southeastern subpopulation (p < 0.05). Although the occurrence of Alu polymorphisms within PR locus has not been widely examined, the insertion frequency was higher in northwestern subpopulation, as compared with western and southeastern subpopulations (p < 0.05). Based on the frequency of Alu insertions found in ACE and PR loci, subpopulations from the northwestern, western and central regions share a common genetic origin, but apparently not with the subpopulation from the southeastern region, in accordance with the notion that assumes the existence of a broad genomic diversity in the Mexican population. In addition, the high prevalence of Alu insertions reveals their potential application as biomarkers with prognostic value for the associated diseases; e.g., as part of the standard protocols for clinical diagnosis.
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Affiliation(s)
- Hilda P Navarrete
- Facultad de Ciencias Químicas e Ingeniería, Universidad Autónoma de Baja California, Calzada Universidad 14418, Parque Industrial Internacional, 22390, Tijuana, BCN, Mexico
| | - Linda H Soler
- Facultad de Ciencias Químicas e Ingeniería, Universidad Autónoma de Baja California, Calzada Universidad 14418, Parque Industrial Internacional, 22390, Tijuana, BCN, Mexico
| | - Rosa E Mares
- Facultad de Ciencias Químicas e Ingeniería, Universidad Autónoma de Baja California, Calzada Universidad 14418, Parque Industrial Internacional, 22390, Tijuana, BCN, Mexico
| | - Marco A Ramos
- Facultad de Ciencias Químicas e Ingeniería, Universidad Autónoma de Baja California, Calzada Universidad 14418, Parque Industrial Internacional, 22390, Tijuana, BCN, Mexico.
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Paramasivam R, Reangasamy N, Arumugam D, Krishnan P. Association of ACE <i>DD</i> Genotype with Hypertension among the Tribal Populations of South India. INTERNATIONAL LETTERS OF NATURAL SCIENCES 2016. [DOI: 10.56431/p-044q85] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
Abstract
The Renin-Angiotensin System (RAS) is an important regulator of the blood pressure (BP). The level of the vasoactive peptide Angiotensin-II, is mainly determined by the RAS enzyme, angiotensin converting enzyme-1 (ACE-1). Polymorphisms in ACE gene is reported to be associated with hypertension in various populations worldwide. We investigated the association of ACE I/D polymorphisms with hypertension among the tribal populations of South India. Samples were collected from hypertensive patients (n = 33) and healthy controls (n = 37). Genotyping was performed using Polymerase chain reaction (PCR) with allele specific primers. The DD genotype is significantly observed among the cases (OR = 1.0). Specifically, the DD genotype is more evident among the females (OR = 0 .705) than males (OR = 1.22) and is analysed to be associated with hypertension among the tribal populations of South India.
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Paramasivam R, Rengasamy N, Arumugam D, Krishnan P. Association of ACE DD Genotype with Hypertension among the Tribal Populations of South India. INTERNATIONAL LETTERS OF NATURAL SCIENCES 2016. [DOI: 10.18052/www.scipress.com/ilns.52.1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
The Renin-Angiotensin System (RAS) is an important regulator of the blood pressure (BP). The level of the vasoactive peptide Angiotensin-II, is mainly determined by the RAS enzyme, angiotensin converting enzyme-1 (ACE-1). Polymorphisms in ACE gene is reported to be associated with hypertension in various populations worldwide. We investigated the association of ACE I/D polymorphisms with hypertension among the tribal populations of South India. Samples were collected from hypertensive patients (n = 33) and healthy controls (n = 37). Genotyping was performed using Polymerase chain reaction (PCR) with allele specific primers. The DD genotype is significantly observed among the cases (OR = 1.0). Specifically, the DD genotype is more evident among the females (OR = 0 .705) than males (OR = 1.22) and is analysed to be associated with hypertension among the tribal populations of South India.
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