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  1. AU="George Th. Tsangaris"
  2. AU="Maria C Jordan"
  3. AU="Zhang, Zhen-Hai"
  4. AU=Lorenzo-Gomez M F AU=Lorenzo-Gomez M F
  5. AU="Weng, Wei-Chien"
  6. AU="Michael Zauner"
  7. AU="Offin, M."
  8. AU=Burney Ikram A
  9. AU="Sciubba, Adalberto"
  10. AU="Hu, Tony Y"
  11. AU="L'Hoyes, Wouter"
  12. AU="Bernhardt, Sarah M"
  13. AU="Holman, Wayne"
  14. AU="Ghabi, Elie"
  15. AU="Pan, Jia-fu"
  16. AU="Fareed, Zeeshan"
  17. AU="Watkins, A Claire"
  18. AU="Taggart, Michael"
  19. AU="Boone, William J"

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  1. Artikel ; Online: Unique peptide signatures of SARS-CοV-2 virus against human proteome reveal variants’ immune escape and infectiveness

    Vasileios Pierros / Evangelos Kontopodis / Dimitrios J. Stravopodis / George Th. Tsangaris

    Heliyon, Vol 8, Iss 4, Pp e09222- (2022)

    2022  

    Abstract: SARS-CoV-2 pandemic has necessitated the identification of sequence areas in the viral proteome that are capable to serve as antigenic sites and treatment targets. In the present study, we have applied a novel approach for mechanistically illuminating ... ...

    Abstract SARS-CoV-2 pandemic has necessitated the identification of sequence areas in the viral proteome that are capable to serve as antigenic sites and treatment targets. In the present study, we have applied a novel approach for mechanistically illuminating the virus-host organism interactions, by analyzing the Unique Peptides (UPs) of the virus featured by a minimum amino acid sequence length being defined as Core Unique Peptides (CrUPs), not of the virus per se, but against the entire proteome of the host organism. This approach resulted in the identification of CrUPs of the virus itself, which could not be recognized in the host organism proteome. Thereby, we analyzed the SARS-CoV-2 proteome for identification of CrUPs against the human proteome, which have been defined as C/H-CrUPs. We herein reveal that SARS-CoV-2 include 7.503 C/H-CrUPs, with the SPIKE_SARS2 being detected as the protein with the highest density of C/H-CrUPs. Extensive analysis has indicated that the critical P681R mutation produces new C/H-CrUPs around the R685 cleavage site, while the L452R mutation causes loss of antigenicity of the NF9 peptide and strong(er) binding of the virus to its ACE2 receptor protein. Simultaneous formation of these mutations in detrimental variants like Delta leads to the immune escape of the virus, its massive entrance into the host cell, a notable increase in virus formation, and its massive release and thus elevated infectivity of human target cells.
    Schlagwörter Core unique peptide ; Covid-19 ; Delta variant ; Immune escape ; NF9 peptide ; SARS-CoV-2 ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
    Thema/Rubrik (Code) 570
    Sprache Englisch
    Erscheinungsdatum 2022-04-01T00:00:00Z
    Verlag Elsevier
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  2. Artikel ; Online: Proteomic data of donkey's milk

    Stavros C. Proikakis / Efterpi V. Bouroutzika / Athanasios K. Anagnostopoulos / George Th. Tsangaris

    Data in Brief, Vol 39, Iss , Pp 107507- (2021)

    2021  

    Abstract: Donkey's milk has been recognized as milk of high biological value and it also has the closest composition to human milk. However, the total protein content of donkey's milk has not been adequately identified. The aim of this analysis is to investigate ... ...

    Abstract Donkey's milk has been recognized as milk of high biological value and it also has the closest composition to human milk. However, the total protein content of donkey's milk has not been adequately identified. The aim of this analysis is to investigate the proteomic content of that milk. Specific commercially available only milk was analyzed by ``shotgun'' proteomic methods to identify the proteins it contained in as much detail as possible. The application of the above approach resulted in the identification of a total of 633 different proteins, which were grouped based on their molecular function and their biological process. Furthermore, the proteins visualized graphically according to the GeneOntology (GO) system. The identified proteins confirm the high nutritional value of the donkey milk, governing future steps in optimizing its characteristic and uses.
    Schlagwörter Foodomics ; Donkey milk ; LC-MS/MS ; Proteomics ; Protein content ; nanoLC-MS/MS ; Computer applications to medicine. Medical informatics ; R858-859.7 ; Science (General) ; Q1-390
    Sprache Englisch
    Erscheinungsdatum 2021-12-01T00:00:00Z
    Verlag Elsevier
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  3. Artikel ; Online: Feta cheese proteins

    Athanasios K. Anagnostopoulos / George Th. Tsangaris

    Data in Brief, Vol 19, Iss , Pp 2037-

    Manifesting the identity of Greece׳s National Treasure

    2018  Band 2040

    Abstract: Over the last years, there has been tremendous debate regarding the identity of feta cheese and under which terms such food with historical ties to ancient Greece can be discriminated among others, based on its unique traits and characteristics. This ... ...

    Abstract Over the last years, there has been tremendous debate regarding the identity of feta cheese and under which terms such food with historical ties to ancient Greece can be discriminated among others, based on its unique traits and characteristics. This analysis sets the foundation towards a much anticipated control procedure, by deciphering for the first time the core elements of this food; its proteins. In this initial report, we amassed representative feta cheese samples/types from parts of Greece entitled to produce this “protected designation of origin” (p.d.o) cheese type and analyzed in full their protein content by employing exhaustive deep-proteome analyses. Several groups of proteins were identified, implicated in diverse functions as well as proteins under multiple abundances, while the final feta cheese protein list was set to include solely core-proteins identified in every analyzed sample. Through this data article we report, for the first time, the complete protein content of feta cheese, consisting of 489 proteins, thus setting the foundation towards developing a method for identification of the original Greek product.
    Schlagwörter Computer applications to medicine. Medical informatics ; R858-859.7 ; Science (General) ; Q1-390
    Sprache Englisch
    Erscheinungsdatum 2018-08-01T00:00:00Z
    Verlag Elsevier
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  4. Artikel ; Online: The Pediatric Ependymoma Protein Database (PEPD)

    George Th. Tsangaris / Athanasios K. Anagnostopoulos

    Data in Brief, Vol 15, Iss , Pp 638-

    2017  Band 641

    Abstract: Proteomics, through application of modern high-end mass spectrometric (MS) approaches, offers the advantage of in-depth analysis of cancer tissues regarding their protein composition. Pediatric brain tumor malignancies are scarcely approached by modern ... ...

    Abstract Proteomics, through application of modern high-end mass spectrometric (MS) approaches, offers the advantage of in-depth analysis of cancer tissues regarding their protein composition. Pediatric brain tumor malignancies are scarcely approached by modern holistic technologies (e.g. genomics, proteomics) due to rarity of samples and most importantly difficulty in their collection. Ependymoma, is the third most common tumor in children and is thought to arise from ependymal cells in the wall of the cerebral ventricles or the spinal canal. Due to the heterogeneity of the disease its biological characteristics remain largely unknown and prognostic factors are basically based on clinical and histological criteria. Through application of a modified nanoLC-MS/MS analysis experimental approach we achieved, for the first time, the in-depth examination of the pediatric ependymoma tissue proteome. In the present article we report on the construction of a high-confidence database; the Pediatric Ependymoma Protein Database (PEPD), including 4,157 protein groups originating from the identification and analysis of more than 15,000 peptides. The PEPD offers a first step towards targeted protein validation of the protein content of this specific devastating disease affecting the young population. Keywords: Pediatric brain tumors, Ependymoma, Ependymoma protein database
    Schlagwörter Computer applications to medicine. Medical informatics ; R858-859.7 ; Science (General) ; Q1-390
    Thema/Rubrik (Code) 610
    Sprache Englisch
    Erscheinungsdatum 2017-12-01T00:00:00Z
    Verlag Elsevier
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  5. Artikel ; Online: Unique Peptides of Cathelicidin-1 in the Early Detection of Mastitis—In Silico Analysis

    Maria V. Bourganou / Evangelos Kontopodis / George Th. Tsangaris / Vasileios Pierros / Natalia G. C. Vasileiou / Vasia S. Mavrogianni / George C. Fthenakis / Angeliki I. Katsafadou

    International Journal of Molecular Sciences, Vol 24, Iss 10160, p

    2023  Band 10160

    Abstract: Based on the results of previously performed clinical studies, cathelicidin-1 has been proposed as a potential biomarker for the early diagnosis of mastitis in ewes. It has been hypothesized that the detection of unique peptides (defined as a peptide, ... ...

    Abstract Based on the results of previously performed clinical studies, cathelicidin-1 has been proposed as a potential biomarker for the early diagnosis of mastitis in ewes. It has been hypothesized that the detection of unique peptides (defined as a peptide, irrespective of its length, that exists in only one protein of a proteome of interest) and core unique peptides (CUPs) (representing the shortest peptide that is unique) of cathelicidin-1 may potentially improve its identification and consequently the diagnosis of sheep mastitis. Peptides of sizes larger than those of the size of CUPs, which include consecutive or over-lapping CUPs, have been defined as ‘composite core unique peptides’ (CCUPs). The primary objective of the present study was the investigation of the sequence of cathelicidin-1 detected in ewes’ milk in order to identify its unique peptides and core unique peptides, which would reveal potential targets for accurate detection of the protein. An additional objective was the detection of unique sequences among the tryptic digest peptides of cathelicidin-1, which would improve accuracy of identification of the protein when performing targeted MS-based proteomics. The potential uniqueness of each peptide of cathelicidin-1 was investigated using a bioinformatics tool built on a big data algorithm. A set of CUPs was created and CCUPs were also searched. Further, the unique sequences in the tryptic digest peptides of cathelicidin-1 were also detected. Finally, the 3D structure of the protein was analyzed from predicted models of proteins. In total, 59 CUPs and four CCUPs were detected in cathelicidin-1 of sheep origin. Among tryptic digest peptides, there were six peptides that were unique in that protein. After 3D structure analysis of the protein, 35 CUPs were found on the core of cathelicidin-1 of sheep origin and among them, 29 were located on amino acids in regions of the protein with ‘very high’ or ‘confident’ estimates of confidence of the structure. Ultimately, the following six CUPs: QLNEQ, NEQS, ...
    Schlagwörter biomarker ; cathelicidin-1 ; diagnosis ; mastitis ; sheep ; unique peptide ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
    Thema/Rubrik (Code) 540
    Sprache Englisch
    Erscheinungsdatum 2023-06-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  6. Artikel ; Online: Proteomics Analysis in Dairy Products

    Efterpi Bouroutzika / Stavros Proikakis / Athanasios K. Anagnostopoulos / Angeliki I. Katsafadou / George C. Fthenakis / George Th. Tsangaris

    Applied Sciences, Vol 11, Iss 7622, p

    Cheese, a Review

    2021  Band 7622

    Abstract: Cheese is a worldwide produced and consumed commodity. There are many varieties of cheese from soft to hard, white to yellow, and fresh to aged after ripening. Especially, each category has its own producing technology. Many countries have labeled their ... ...

    Abstract Cheese is a worldwide produced and consumed commodity. There are many varieties of cheese from soft to hard, white to yellow, and fresh to aged after ripening. Especially, each category has its own producing technology. Many countries have labeled their most traditional cheese as Protective Designation of Origin (PDO). Moreover, several studies using advanced technologies, such as proteomics, have been performed to enhance labeling. In this review, broadly diffused and marketed, as well as Mediterranean countries’ special interest in Mediterranean diet-related PDO cheeses have been chosen as a reference. The aim of this work was to highlight the use of proteomics methods to examine how cheese proteins and peptides rearrange after ripening and use of starters. Further, we aimed to examine what kind of proteins are produced. Finally, we focused on bioactive molecules in cheeses and distinction of the original product from its counterfeit.
    Schlagwörter PDO cheese ; proteomics ; bioactive peptides ; adulterations ; Feta cheese ; Graviera Kritis ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Sprache Englisch
    Erscheinungsdatum 2021-08-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  7. Artikel: Predictive biomarkers for type 2 of diabetes mellitus: Bridging the gap between systems research and personalized medicine

    Kraniotou, Christina / George Bellos / George Th. Tsangaris / Vasiliki Karadima

    Journal of proteomics. 2018 Sept. 30, v. 188

    2018  

    Abstract: The global incidence of metabolic disorders like type 2 diabetes mellitus (DM2) has assumed epidemic proportions, leading to adverse health and socio-economic impacts. It is therefore of critical importance the early diagnosis of DM2 patients and the ... ...

    Abstract The global incidence of metabolic disorders like type 2 diabetes mellitus (DM2) has assumed epidemic proportions, leading to adverse health and socio-economic impacts. It is therefore of critical importance the early diagnosis of DM2 patients and the detection of those at increased risk of disease. In this respect, Precision Medicine (PM) is an emerging approach that includes practices, tests, decisions and treatments adapted to the characteristics of each patient. With regard to DM2, PM manages a wealth of “omics” data (genomic, metabolic, proteomic, environmental, clinical and paraclinical) to increase the number of clinically validated biomarkers in order to identify patients in early stage even before the prediabetic phase.In this paper, we discuss the epidemic dimension of metabolic disorders like type 2 diabetes mellitus (DM2) and the urgent demand for novel biomarkers to reduce the incidence or even delay the onset of DM2. Recent research data produced by “multi-omics” technologies (genomics/epigenomics, transcriptomics, proteomics and metabolomics), suggest that many potential biomarkers might be helpful in the prediction and early diagnosis of DM2. Predictive, Preventive and Personalized Medicine (PPPM) manages and integrates these data to apply personalized, preventive, and therapeutic approaches. This is significant because there is an emerging need for establishing channels for communication and personalized consultation between systems research and precision medicine, as the medicine of the future.
    Schlagwörter biomarkers ; diabetes mellitus ; early diagnosis ; epigenetics ; genomics ; medicine ; metabolomics ; patients ; precision medicine ; prediction ; proteomics ; risk ; socioeconomic factors ; transcriptomics
    Sprache Englisch
    Erscheinungsverlauf 2018-0930
    Umfang p. 59-62.
    Erscheinungsort Elsevier B.V.
    Dokumenttyp Artikel
    ZDB-ID 2400835-7
    ISSN 1876-7737 ; 1874-3919
    ISSN (online) 1876-7737
    ISSN 1874-3919
    DOI 10.1016/j.jprot.2018.03.004
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  8. Artikel: Pediatric endocrine and metabolic diseases and proteomics

    Kosteria, Ioanna / Athanasios K. Anagnostopoulos / Christina Kanaka-Gantenbein / George P. Chrousos / George Th. Tsangaris

    Journal of proteomics. 2018 Sept. 30, v. 188

    2018  

    Abstract: The principles of Predictive, Preventive and Personalized Medicine (PPPM) dictate the need to recognize individual susceptibility to disease in a timely fashion and to offer targeted preventive interventions and treatments. Proteomics is a state-of-the ... ...

    Abstract The principles of Predictive, Preventive and Personalized Medicine (PPPM) dictate the need to recognize individual susceptibility to disease in a timely fashion and to offer targeted preventive interventions and treatments. Proteomics is a state-of-the art technology- driven science aiming at expanding our understanding of the pathophysiologic mechanisms that underlie disease, but also at identifying accurate predictive, diagnostic and therapeutic biomarkers, that will eventually promote the implementation of PPPM. In this review, we summarize the wide spectrum of the applications of Mass Spectrometry-based proteomics in the various fields of Pediatric Endocrinology, including Inborn Errors of Metabolism, type 1 diabetes, Adrenal Disease, Metabolic Syndrome and Thyroid disease, ranging from neonatal screening to early recognition of specific at-risk populations for disease manifestations or complications in adult life and to monitoring of disease progression and response to treatment.Proteomics is a state-of-the art technology- driven science aiming at expanding our understanding of the pathophysiologic mechanisms that underlie disease, but also at identifying accurate predictive, diagnostic and therapeutic biomarkers that will eventually lead to successful, targeted, patient-centric, individualized approach of each patient, as dictated by the principles of Predictive, Preventive and Personalized Medicine. In this review, we summarize the wide spectrum of the applications of Mass Spectrometry-based proteomics in the various fields of Pediatric Endocrinology, including Inborn Errors of Metabolism, type 1 diabetes, Adrenal Disease, Metabolic Syndrome and Thyroid disease, ranging from neonatal screening, accurate diagnosis, early recognition of specific at-risk populations for the prevention of disease manifestation or future complications.
    Schlagwörter adults ; at-risk population ; biomarkers ; disease course ; disease prevention ; disease susceptibility ; endocrinology ; inherited metabolic diseases ; insulin-dependent diabetes mellitus ; mass spectrometry ; metabolic syndrome ; monitoring ; pathophysiology ; patients ; precision medicine ; proteomics ; screening
    Sprache Englisch
    Erscheinungsverlauf 2018-0930
    Umfang p. 46-58.
    Erscheinungsort Elsevier B.V.
    Dokumenttyp Artikel
    ZDB-ID 2400835-7
    ISSN 1876-7737 ; 1874-3919
    ISSN (online) 1876-7737
    ISSN 1874-3919
    DOI 10.1016/j.jprot.2018.03.011
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  9. Artikel: Optimization of Conditions for Accurate Phosphonate and Total Phosphorus Assay on Lipid Samples, in Conjunction with Thin-Layer Chromatography

    Kapoulas, Vassilios M / George Th. Tsangaris

    Zeitschrift für Naturforschung C. 2014 June 2, v. 41, no. 3

    2014  

    Abstract: The range of inorganic acid normalities for maximum color formation of the phosphomolybdenum- blue complex (under heating) increases by elevating the ammonium molybdate concentration, and at a ratio of molybdate molarity/acid normality equal to 10, there ...

    Abstract The range of inorganic acid normalities for maximum color formation of the phosphomolybdenum- blue complex (under heating) increases by elevating the ammonium molybdate concentration, and at a ratio of molybdate molarity/acid normality equal to 10, there is maximum color development at any acid normality in the range 1-4 ɴ with either HClO₄ or H₂SO₄ (or their mixtures). On the basis of these features a revised method is described for the accurate determination of phosphonate-P percent of total-P. on lipid extracts and on TLC bands. The color at the final step, in both cases, is developed under the same conditions of molybdate, HClO₄ and H₂SO₄ concentrations, thus avoiding possible errors produced by the use of two separate calibration curves.
    Schlagwörter ammonium ; color ; lipids ; molybdates ; perchloric acid ; phosphorus ; sulfuric acid ; thin layer chromatography
    Sprache Englisch
    Erscheinungsverlauf 2014-0602
    Umfang p. 263-268.
    Erscheinungsort Verlag der Zeitschrift für Naturforschung
    Dokumenttyp Artikel
    ZDB-ID 124636-7
    ISSN 1865-7125 ; 0341-0382 ; 0341-0471 ; 0939-5075
    ISSN (online) 1865-7125
    ISSN 0341-0382 ; 0341-0471 ; 0939-5075
    DOI 10.1515/znc-1986-0304
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  10. Artikel: Yield of 6,000 proteins by 1D nLC–MS/MS without pre-fractionation

    Anagnostopoulos, Athanasios K / Dimitrios J. Stravopodis / George Th. Tsangaris

    Journal of chromatography. 2017 Mar. 15, v. 1047

    2017  

    Abstract: Mass spectrometry (MS) has dominated over other protein analysis methods that aspire to deliver rapid and sensitive protein annotation, due to its ability to acquire high-content biological information from samples of great complexity. Routinely, in- ... ...

    Abstract Mass spectrometry (MS) has dominated over other protein analysis methods that aspire to deliver rapid and sensitive protein annotation, due to its ability to acquire high-content biological information from samples of great complexity. Routinely, in-depth analysis of complex biological samples, such as total cell lysates, relies on the high separation power of two-dimensional liquid chromatography-tandem MS (2D LC–MS/MS), often combined with protein pre-fractionation. However, on the basis of recent advances in chromatographic and MS instrumentation, one-dimensional (1D) LC–MS/MS approaches have become the method-of-choice for high-volume/high-throughput protein experiments. Thousands of proteins can be identified in single-run LC–MS/MS experiments. In the present study a 1D LC–MS/MS approach was applied on whole-cell lysates of WM-266-4 human cells leading to identification of more than 5,300 protein groups, 6,000 proteins and 22,00 peptides, in a single run. Using no pre-fractionation steps, method optimization was achieved through experimentation on lysis and protein extraction solutions, as well as nLC gradient parameters.
    Schlagwörter humans ; instrumentation ; liquid chromatography ; mass spectrometry ; peptides ; proteins ; system optimization
    Sprache Englisch
    Erscheinungsverlauf 2017-0315
    Umfang p. 92-96.
    Erscheinungsort Elsevier B.V.
    Dokumenttyp Artikel
    ISSN 1570-0232
    DOI 10.1016/j.jchromb.2016.08.031
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