Pub Date : 2019-01-22DOI: 10.2174/2213235X06666181012143004
Bashir Sajo Mienda, A. Adamu, M. S. Shamsir
{"title":"Model-guided Metabolic Gene Knockout of pflA in Escherichia coli Increases Succinic Acid Production from Glycerol Carbon Source","authors":"Bashir Sajo Mienda, A. Adamu, M. S. Shamsir","doi":"10.2174/2213235X06666181012143004","DOIUrl":"https://doi.org/10.2174/2213235X06666181012143004","url":null,"abstract":"","PeriodicalId":10806,"journal":{"name":"Current Metabolomics","volume":"70 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86796107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-22DOI: 10.2174/2213235X06666180924103416
Jinyan She, D. Mlsna, R. Baird, Chathuri U. G. Mohottige, T. Mlsna
{"title":"Volatile Metabolomics with Focus on Fungal and Plant Applications - A Review","authors":"Jinyan She, D. Mlsna, R. Baird, Chathuri U. G. Mohottige, T. Mlsna","doi":"10.2174/2213235X06666180924103416","DOIUrl":"https://doi.org/10.2174/2213235X06666180924103416","url":null,"abstract":"","PeriodicalId":10806,"journal":{"name":"Current Metabolomics","volume":"71 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85763150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-22DOI: 10.2174/2213235X07666181122124106
Francisco Santos, S. Magalhães, M. Henriques, B. Silva, I. Valença, D. Ribeiro, M. Fardilha, A. Nunes
Prostate cancer (PCa) is the second most common neoplasia in men. Because it is often diagnosed at a late stage, mortality rates remain high. Studying cancer metabolome, which reflects early changes that occur in cells, has gained relevance and may contribute to the identification of early diagnostic biomarkers and understanding tumor biology. Fourier-transform infrared (FTIR) spectroscopy is a metabolomics technique that probes the biochemical composition of the analyzed samples and allows to discriminate samples with distinct metabolic profiles, allowing the discrimination between cancerous and non-cancerous samples. In this study, FTIR spectra were acquired from PCa and normal prostate cell lines and analyzed by principal component analysis (PCA). Our results indicate a clear discrimination between the different cell lines, meaning that they exhibit distinct metabolic profiles. This discrimination can be attributed to an altered lipid metabolism (3000-2800 cm-1, 1800-1700 cm-1 and 15001400 cm-1) and changes in protein conformation (1700-1600 cm-1). These results suggest that studying cancer metabolome with FTIR spectroscopy not only allows the understanding of tumor metabolic behavior and may be useful to the development of new therapeutic targets.
{"title":"Understanding Prostate Cancer Cells Metabolome: A Spectroscopic Approach","authors":"Francisco Santos, S. Magalhães, M. Henriques, B. Silva, I. Valença, D. Ribeiro, M. Fardilha, A. Nunes","doi":"10.2174/2213235X07666181122124106","DOIUrl":"https://doi.org/10.2174/2213235X07666181122124106","url":null,"abstract":"Prostate cancer (PCa) is the second most common neoplasia in men. Because it is often diagnosed at a late stage, mortality rates remain high. Studying cancer metabolome, which reflects early changes that occur in cells, has gained relevance and may contribute to the identification of early diagnostic biomarkers and understanding tumor biology. Fourier-transform infrared (FTIR) spectroscopy is a metabolomics technique that probes the biochemical composition of the analyzed samples and allows to discriminate samples with distinct metabolic profiles, allowing the discrimination between cancerous and non-cancerous samples. In this study, FTIR spectra were acquired from PCa and normal prostate cell lines and analyzed by principal component analysis (PCA). Our results indicate a clear discrimination between the different cell lines, meaning that they exhibit distinct metabolic profiles. This discrimination can be attributed to an altered lipid metabolism (3000-2800 cm-1, 1800-1700 cm-1 and 15001400 cm-1) and changes in protein conformation (1700-1600 cm-1). These results suggest that studying cancer metabolome with FTIR spectroscopy not only allows the understanding of tumor metabolic behavior and may be useful to the development of new therapeutic targets.","PeriodicalId":10806,"journal":{"name":"Current Metabolomics","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75117649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-22DOI: 10.2174/2213235x07666181219110630
Bashir Sajo Mienda
{"title":"Genome-scale Metabolic Modelling for Succinic Acid Production in Escherichia coli","authors":"Bashir Sajo Mienda","doi":"10.2174/2213235x07666181219110630","DOIUrl":"https://doi.org/10.2174/2213235x07666181219110630","url":null,"abstract":"","PeriodicalId":10806,"journal":{"name":"Current Metabolomics","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76421386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-22DOI: 10.2174/2213235X06666181005143806
Shankara H. Nanjegowda, Manasa G. Papanna, T. Bharathi, Raghu Ram Achar Rr, H. Prakash, S. N. Swamy, P. Mallu
Natural products research is the most enormous field of research in terms of the amount of data and importance of information. Natural products discovery and metabolomics deals with a crucial mode of representation of the profile of biologically active metabolites. In this regard, the profiling of the chemical makeup of complex natural plant extracts necessarily requires employing sophisticated and advanced analytical methods like RP-HPLC–ESI-Q-TOF-MS as well as data mining and processing methods. The genus Garcinia (Clusiaceae) contains phenolic, flavonoids, xanthones, triterpenes, and benzophenones which have been reported for their significant biological properties. Due to its high content of secondary metabolites and its large domestic usage, we have developed a simple, rapid and precise method to characterize all the secondary metabolites using Reverse-Phase Ultra Performance Liquid Chromatography coupled to Electrospray Ionization Quadruple Time-of-Flight Mass Spectrometry (RP-HPLC–ESI-Q- TOF-MS) for the hydro-methanolic extract. A total of about 3443 secondary metabolites from the fruit and 3757 secondary metabolites from the seed were identified by the Progenesis-QI data analysis. Among these a total of 74 compounds from fruits and 86 polar compounds from seeds were manually identified using the mass error limit of < ± 5 ppm including the score less than 40. The unexplored bioactives belonging to the class of glycosides, flavones, xanthones, organic acids and other phenolic derivatives. Garcinia xanthochymus was found to contain significant number of diverse phytochemical components. These results indicate the profile of molecules present in G. xanthochymus and will be helpful for industries and researchers involved in isolation of their molecules of interest.
{"title":"Metabolite Profiling of Fruit and Seed Extracts of Garcinia Xanthochymus Using RP-HPLC-ESI-Q-TOF-MS and Progenesis QI","authors":"Shankara H. Nanjegowda, Manasa G. Papanna, T. Bharathi, Raghu Ram Achar Rr, H. Prakash, S. N. Swamy, P. Mallu","doi":"10.2174/2213235X06666181005143806","DOIUrl":"https://doi.org/10.2174/2213235X06666181005143806","url":null,"abstract":"Natural products research is the most enormous field of research in terms of the amount of data and importance of information. Natural products discovery and metabolomics deals with a crucial mode of representation of the profile of biologically active metabolites. In this regard, the profiling of the chemical makeup of complex natural plant extracts necessarily requires employing sophisticated and advanced analytical methods like RP-HPLC–ESI-Q-TOF-MS as well as data mining and processing methods. The genus Garcinia (Clusiaceae) contains phenolic, flavonoids, xanthones, triterpenes, and benzophenones which have been reported for their significant biological properties. Due to its high content of secondary metabolites and its large domestic usage, we have developed a simple, rapid and precise method to characterize all the secondary metabolites using Reverse-Phase Ultra Performance Liquid Chromatography coupled to Electrospray Ionization Quadruple Time-of-Flight Mass Spectrometry (RP-HPLC–ESI-Q- TOF-MS) for the hydro-methanolic extract. A total of about 3443 secondary metabolites from the fruit and 3757 secondary metabolites from the seed were identified by the Progenesis-QI data analysis. Among these a total of 74 compounds from fruits and 86 polar compounds from seeds were manually identified using the mass error limit of < ± 5 ppm including the score less than 40. The unexplored bioactives belonging to the class of glycosides, flavones, xanthones, organic acids and other phenolic derivatives. Garcinia xanthochymus was found to contain significant number of diverse phytochemical components. These results indicate the profile of molecules present in G. xanthochymus and will be helpful for industries and researchers involved in isolation of their molecules of interest.","PeriodicalId":10806,"journal":{"name":"Current Metabolomics","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86498584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-16DOI: 10.2174/2213235X05666170203120840
Sanad Alonezi, Mohammed Al Washih, C. Clements, L. Young, V. Ferro, D. Watson
{"title":"Liquid Chromatography Mass Spectrometry (LCMS) and Phenotype Microarray Profiling of Ovarian Cancer Cells After Exposure to Cisplatin","authors":"Sanad Alonezi, Mohammed Al Washih, C. Clements, L. Young, V. Ferro, D. Watson","doi":"10.2174/2213235X05666170203120840","DOIUrl":"https://doi.org/10.2174/2213235X05666170203120840","url":null,"abstract":"","PeriodicalId":10806,"journal":{"name":"Current Metabolomics","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90119705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-16DOI: 10.2174/2213235X06666180521084551
Francisco Santos, S. Magalhães, M. Henriques, M. Fardilha, A. Nunes
{"title":"Spectroscopic Features of Cancer Cells: FTIR Spectroscopy as a Tool for Early Diagnosis","authors":"Francisco Santos, S. Magalhães, M. Henriques, M. Fardilha, A. Nunes","doi":"10.2174/2213235X06666180521084551","DOIUrl":"https://doi.org/10.2174/2213235X06666180521084551","url":null,"abstract":"","PeriodicalId":10806,"journal":{"name":"Current Metabolomics","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83088949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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