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Advances in derivatization approaches for increasing the sensitivity of small molecules.

Bioanalysis

Niwa M.
PMID: 28627223
Bioanalysis. 2017 Jun;9(12):907-909. doi: 10.4155/bio-2017-0089. Epub 2017 Jun 19.

No abstract available.

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Niwa M. Advances in derivatization approaches for increasing the sensitivity of small molecules. Bioanalysis. 2017;9(12):907-909doi: 10.4155/bio-2017-0089.
Niwa, M. (2017). Advances in derivatization approaches for increasing the sensitivity of small molecules. Bioanalysis, 9(12), 907-909. https://doi.org/10.4155/bio-2017-0089
Niwa, Makoto. "Advances in derivatization approaches for increasing the sensitivity of small molecules." Bioanalysis vol. 9,12 (2017): 907-909. doi: https://doi.org/10.4155/bio-2017-0089
Niwa M. Advances in derivatization approaches for increasing the sensitivity of small molecules. Bioanalysis. 2017 Jun;9(12):907-909. doi: 10.4155/bio-2017-0089. Epub 2017 Jun 19. PMID: 28627223.
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Label-free quantitative proteomic analysis of serum extracellular vesicles differentiating patients of alcoholic and nonalcoholic fatty liver diseases.

Journal of proteomics

Nguyen HQ, Lee D, Kim Y, Bang G, Cho K, Lee YS, Yeon JE, Lubman DM, Kim J.
PMID: 34089894
J Proteomics. 2021 Aug 15;245:104278. doi: 10.1016/j.jprot.2021.104278. Epub 2021 Jun 02.

Alcoholic liver disease (ALD) and nonalcoholic fatty liver disease (NAFLD) are typically asymptomatic and slow-progressing but potentially fatal diseases that are common causes of liver cirrhosis and related complications. Exosomes are nano-sized extracellular vesicles that have been linked to...

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Nguyen HQ, Lee D, Kim Y, et al. Label-free quantitative proteomic analysis of serum extracellular vesicles differentiating patients of alcoholic and nonalcoholic fatty liver diseases. J Proteomics. 2021;245:104278doi: 10.1016/j.jprot.2021.104278.
Nguyen, H. Q., Lee, D., Kim, Y., Bang, G., Cho, K., Lee, Y. S., Yeon, J. E., Lubman, D. M., & Kim, J. (2021). Label-free quantitative proteomic analysis of serum extracellular vesicles differentiating patients of alcoholic and nonalcoholic fatty liver diseases. Journal of proteomics, 245104278. https://doi.org/10.1016/j.jprot.2021.104278
Nguyen, Huu-Quang, et al. "Label-free quantitative proteomic analysis of serum extracellular vesicles differentiating patients of alcoholic and nonalcoholic fatty liver diseases." Journal of proteomics vol. 245 (2021): 104278. doi: https://doi.org/10.1016/j.jprot.2021.104278
Nguyen HQ, Lee D, Kim Y, Bang G, Cho K, Lee YS, Yeon JE, Lubman DM, Kim J. Label-free quantitative proteomic analysis of serum extracellular vesicles differentiating patients of alcoholic and nonalcoholic fatty liver diseases. J Proteomics. 2021 Aug 15;245:104278. doi: 10.1016/j.jprot.2021.104278. Epub 2021 Jun 02. PMID: 34089894; PMCID: PMC8277700.
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Multi-Omic Single-Shot Technology for Integrated Proteome and Lipidome Analysis.

Analytical chemistry

He Y, Rashan EH, Linke V, Shishkova E, Hebert AS, Jochem A, Westphall MS, Pagliarini DJ, Overmyer KA, Coon JJ.
PMID: 33617230
Anal Chem. 2021 Mar 09;93(9):4217-4222. doi: 10.1021/acs.analchem.0c04764. Epub 2021 Feb 22.

Mass spectrometry (MS) serves as the centerpiece technology for proteome, lipidome, and metabolome analysis. To gain a better understanding of the multifaceted networks of myriad regulatory layers in complex organisms, integration of different multiomic layers is increasingly performed, including...

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He Y, Rashan EH, Linke V, et al. Multi-Omic Single-Shot Technology for Integrated Proteome and Lipidome Analysis. Anal Chem. 2021;93(9):4217-4222doi: 10.1021/acs.analchem.0c04764.
He, Y., Rashan, E. H., Linke, V., Shishkova, E., Hebert, A. S., Jochem, A., Westphall, M. S., Pagliarini, D. J., Overmyer, K. A., & Coon, J. J. (2021). Multi-Omic Single-Shot Technology for Integrated Proteome and Lipidome Analysis. Analytical chemistry, 93(9), 4217-4222. https://doi.org/10.1021/acs.analchem.0c04764
He, Yuchen, et al. "Multi-Omic Single-Shot Technology for Integrated Proteome and Lipidome Analysis." Analytical chemistry vol. 93,9 (2021): 4217-4222. doi: https://doi.org/10.1021/acs.analchem.0c04764
He Y, Rashan EH, Linke V, Shishkova E, Hebert AS, Jochem A, Westphall MS, Pagliarini DJ, Overmyer KA, Coon JJ. Multi-Omic Single-Shot Technology for Integrated Proteome and Lipidome Analysis. Anal Chem. 2021 Mar 09;93(9):4217-4222. doi: 10.1021/acs.analchem.0c04764. Epub 2021 Feb 22. PMID: 33617230; PMCID: PMC8028036.
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Data Processing and Analysis for DIA-Based Phosphoproteomics Using Spectronaut.

Methods in molecular biology (Clifton, N.J.)

Martinez-Val A, Bekker-Jensen DB, Hogrebe A, Olsen JV.
PMID: 34236657
Methods Mol Biol. 2021;2361:95-107. doi: 10.1007/978-1-0716-1641-3_6.

Data-independent acquisition (DIA) for liquid chromatography tandem mass spectrometry (LC-MS/MS) can improve the depth and reproducibility of the acquired proteomics datasets. DIA solves some limitations of the conventional data-dependent acquisition (DDA) strategy, for example, bias in intensity-dependent precursor selection...

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Martinez-Val A, Bekker-Jensen DB, Hogrebe A, et al. Data Processing and Analysis for DIA-Based Phosphoproteomics Using Spectronaut. Methods Mol Biol. 2021;2361:95-107doi: 10.1007/978-1-0716-1641-3_6.
Martinez-Val, A., Bekker-Jensen, D. B., Hogrebe, A., & Olsen, J. V. (2021). Data Processing and Analysis for DIA-Based Phosphoproteomics Using Spectronaut. Methods in molecular biology (Clifton, N.J.), 236195-107. https://doi.org/10.1007/978-1-0716-1641-3_6
Martinez-Val, Ana, et al. "Data Processing and Analysis for DIA-Based Phosphoproteomics Using Spectronaut." Methods in molecular biology (Clifton, N.J.) vol. 2361 (2021): 95-107. doi: https://doi.org/10.1007/978-1-0716-1641-3_6
Martinez-Val A, Bekker-Jensen DB, Hogrebe A, Olsen JV. Data Processing and Analysis for DIA-Based Phosphoproteomics Using Spectronaut. Methods Mol Biol. 2021;2361:95-107. doi: 10.1007/978-1-0716-1641-3_6. PMID: 34236657.
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Mass spectrometry based untargeted metabolomics for plant systems biology.

Emerging topics in life sciences

Alvarez S, Naldrett MJ.
PMID: 33704399
Emerg Top Life Sci. 2021 May 21;5(2):189-201. doi: 10.1042/ETLS20200271.

Untargeted metabolomics enables the identification of key changes to standard pathways, but also aids in revealing other important and possibly novel metabolites or pathways for further analysis. Much progress has been made in this field over the past decade...

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Alvarez S, Naldrett MJ. Mass spectrometry based untargeted metabolomics for plant systems biology. Emerg Top Life Sci. 2021;5(2):189-201doi: 10.1042/ETLS20200271.
Alvarez, S., & Naldrett, M. J. (2021). Mass spectrometry based untargeted metabolomics for plant systems biology. Emerging topics in life sciences, 5(2), 189-201. https://doi.org/10.1042/ETLS20200271
Alvarez, Sophie, and Naldrett, Michael J. "Mass spectrometry based untargeted metabolomics for plant systems biology." Emerging topics in life sciences vol. 5,2 (2021): 189-201. doi: https://doi.org/10.1042/ETLS20200271
Alvarez S, Naldrett MJ. Mass spectrometry based untargeted metabolomics for plant systems biology. Emerg Top Life Sci. 2021 May 21;5(2):189-201. doi: 10.1042/ETLS20200271. PMID: 33704399.
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Tailoring to Search Engines: Bottom-Up Proteomics with Collision Energies Optimized for Identification Confidence.

Journal of proteome research

Révész Á, Milley MG, Nagy K, Szabó D, Kalló G, Csősz É, Vékey K, Drahos L.
PMID: 33284634
J Proteome Res. 2021 Jan 01;20(1):474-484. doi: 10.1021/acs.jproteome.0c00518. Epub 2020 Dec 07.

Bottom-up proteomics relies on identification of peptides from tandem mass spectra, usually via matching against sequence databases. Confidence in a peptide-spectrum match can be characterized by a score value given by the database search engines, and it depends on...

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Révész Á, Milley MG, Nagy K, et al. Tailoring to Search Engines: Bottom-Up Proteomics with Collision Energies Optimized for Identification Confidence. J Proteome Res. 2020;20(1):474-484doi: 10.1021/acs.jproteome.0c00518.
Révész, �. �., Milley, M. G., Nagy, K., Szabó, D., Kalló, G., Csősz, �. �., Vékey, K., & Drahos, L. (2021). Tailoring to Search Engines: Bottom-Up Proteomics with Collision Energies Optimized for Identification Confidence. Journal of proteome research, 20(1), 474-484. https://doi.org/10.1021/acs.jproteome.0c00518
Révész, Ágnes, et al. "Tailoring to Search Engines: Bottom-Up Proteomics with Collision Energies Optimized for Identification Confidence." Journal of proteome research vol. 20,1 (2021): 474-484. doi: https://doi.org/10.1021/acs.jproteome.0c00518
Révész Á, Milley MG, Nagy K, Szabó D, Kalló G, Csősz É, Vékey K, Drahos L. Tailoring to Search Engines: Bottom-Up Proteomics with Collision Energies Optimized for Identification Confidence. J Proteome Res. 2021 Jan 01;20(1):474-484. doi: 10.1021/acs.jproteome.0c00518. Epub 2020 Dec 07. PMID: 33284634; PMCID: PMC7786379.
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[Identification of chemical constituents of Xiaoer Chiqiao Qingre Granules based on UHPLC-LTQ-Orbitrap-MS/MS and network pharmacology analysis].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica

Zhang Y, Zhou YY, Gao WY, Cui MY, Bian BL, Ni LQ, Wang K, Wang HJ, Si N, Zhao HY.
PMID: 34951243
Zhongguo Zhong Yao Za Zhi. 2021 Dec;46(23):6163-6177. doi: 10.19540/j.cnki.cjcmm.20211019.301.

This study aimed to qualitatively analyze the chemical components in Xiaoer Chiqiao Qingre Granules(XRCQ) by UHPLC-LTQ-Orbitrap-MS/MS and identify its material basis. The absorbed components in plasma were combined for exploring the potential action mechanism by integrated network pharmacology. ACQUITY...

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Zhang Y, Zhou YY, Gao WY, et al. [Identification of chemical constituents of Xiaoer Chiqiao Qingre Granules based on UHPLC-LTQ-Orbitrap-MS/MS and network pharmacology analysis]. Zhongguo Zhong Yao Za Zhi. 2021;46(23):6163-6177doi: 10.19540/j.cnki.cjcmm.20211019.301.
Zhang, Y., Zhou, Y. Y., Gao, W. Y., Cui, M. Y., Bian, B. L., Ni, L. Q., Wang, K., Wang, H. J., Si, N., & Zhao, H. Y. (2021). [Identification of chemical constituents of Xiaoer Chiqiao Qingre Granules based on UHPLC-LTQ-Orbitrap-MS/MS and network pharmacology analysis]. Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica, 46(23), 6163-6177. https://doi.org/10.19540/j.cnki.cjcmm.20211019.301
Zhang, Yan, et al. "[Identification of chemical constituents of Xiaoer Chiqiao Qingre Granules based on UHPLC-LTQ-Orbitrap-MS/MS and network pharmacology analysis]." Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica vol. 46,23 (2021): 6163-6177. doi: https://doi.org/10.19540/j.cnki.cjcmm.20211019.301
Zhang Y, Zhou YY, Gao WY, Cui MY, Bian BL, Ni LQ, Wang K, Wang HJ, Si N, Zhao HY. [Identification of chemical constituents of Xiaoer Chiqiao Qingre Granules based on UHPLC-LTQ-Orbitrap-MS/MS and network pharmacology analysis]. Zhongguo Zhong Yao Za Zhi. 2021 Dec;46(23):6163-6177. doi: 10.19540/j.cnki.cjcmm.20211019.301. Chinese. PMID: 34951243.
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Multiplatform Approach for Plasma Proteomics: Complementarity of Olink Proximity Extension Assay Technology to Mass Spectrometry-Based Protein Profiling.

Journal of proteome research

Petrera A, von Toerne C, Behler J, Huth C, Thorand B, Hilgendorff A, Hauck SM.
PMID: 33253581
J Proteome Res. 2021 Jan 01;20(1):751-762. doi: 10.1021/acs.jproteome.0c00641. Epub 2020 Nov 30.

The plasma proteome is the ultimate target for biomarker discovery. It stores an endless amount of information on the pathophysiological status of a living organism, which is, however, still difficult to comprehensively access. The high complexity of the plasma...

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Petrera A, von Toerne C, Behler J, et al. Multiplatform Approach for Plasma Proteomics: Complementarity of Olink Proximity Extension Assay Technology to Mass Spectrometry-Based Protein Profiling. J Proteome Res. 2020;20(1):751-762doi: 10.1021/acs.jproteome.0c00641.
Petrera, A., von Toerne, C., Behler, J., Huth, C., Thorand, B., Hilgendorff, A., & Hauck, S. M. (2021). Multiplatform Approach for Plasma Proteomics: Complementarity of Olink Proximity Extension Assay Technology to Mass Spectrometry-Based Protein Profiling. Journal of proteome research, 20(1), 751-762. https://doi.org/10.1021/acs.jproteome.0c00641
Petrera, Agnese, et al. "Multiplatform Approach for Plasma Proteomics: Complementarity of Olink Proximity Extension Assay Technology to Mass Spectrometry-Based Protein Profiling." Journal of proteome research vol. 20,1 (2021): 751-762. doi: https://doi.org/10.1021/acs.jproteome.0c00641
Petrera A, von Toerne C, Behler J, Huth C, Thorand B, Hilgendorff A, Hauck SM. Multiplatform Approach for Plasma Proteomics: Complementarity of Olink Proximity Extension Assay Technology to Mass Spectrometry-Based Protein Profiling. J Proteome Res. 2021 Jan 01;20(1):751-762. doi: 10.1021/acs.jproteome.0c00641. Epub 2020 Nov 30. PMID: 33253581.
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Extensive and Accurate Benchmarking of DIA Acquisition Methods and Software Tools Using a Complex Proteomic Standard.

Journal of proteome research

Gotti C, Roux-Dalvai F, Joly-Beauparlant C, Mangnier L, Leclercq M, Droit A.
PMID: 34472865
J Proteome Res. 2021 Oct 01;20(10):4801-4814. doi: 10.1021/acs.jproteome.1c00490. Epub 2021 Sep 02.

Over the past decade, the data-independent acquisition mode has gained popularity for broad coverage of complex proteomes by LC-MS/MS and quantification of low-abundance proteins. However, there is no consensus in the literature on the best data acquisition parameters and...

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Gotti C, Roux-Dalvai F, Joly-Beauparlant C, et al. Extensive and Accurate Benchmarking of DIA Acquisition Methods and Software Tools Using a Complex Proteomic Standard. J Proteome Res. 2021;20(10):4801-4814doi: 10.1021/acs.jproteome.1c00490.
Gotti, C., Roux-Dalvai, F., Joly-Beauparlant, C., Mangnier, L., Leclercq, M., & Droit, A. (2021). Extensive and Accurate Benchmarking of DIA Acquisition Methods and Software Tools Using a Complex Proteomic Standard. Journal of proteome research, 20(10), 4801-4814. https://doi.org/10.1021/acs.jproteome.1c00490
Gotti, Clarisse, et al. "Extensive and Accurate Benchmarking of DIA Acquisition Methods and Software Tools Using a Complex Proteomic Standard." Journal of proteome research vol. 20,10 (2021): 4801-4814. doi: https://doi.org/10.1021/acs.jproteome.1c00490
Gotti C, Roux-Dalvai F, Joly-Beauparlant C, Mangnier L, Leclercq M, Droit A. Extensive and Accurate Benchmarking of DIA Acquisition Methods and Software Tools Using a Complex Proteomic Standard. J Proteome Res. 2021 Oct 01;20(10):4801-4814. doi: 10.1021/acs.jproteome.1c00490. Epub 2021 Sep 02. PMID: 34472865.
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Chemical profiling and quality evaluation of Zhishi-Xiebai-Guizhi Decoction by UPLC-Q-TOF-MS and UPLC fingerprint.

Journal of pharmaceutical and biomedical analysis

Sang Q, Jia Q, Zhang H, Lin C, Zhao X, Zhang M, Wang Y, Hu P.
PMID: 33280997
J Pharm Biomed Anal. 2021 Feb 05;194:113771. doi: 10.1016/j.jpba.2020.113771. Epub 2020 Nov 20.

Zhishi-Xiebai-Guizhi Decoction (ZSXBGZD), a traditional Chinese medicine (TCM) formula, has been used for treatment of coronary heart disease and myocardial infarction for nearly two thousand years. However, the chemical composition of ZSXBGZD is still unclear. In order to obtain...

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Sang Q, Jia Q, Zhang H, et al. Chemical profiling and quality evaluation of Zhishi-Xiebai-Guizhi Decoction by UPLC-Q-TOF-MS and UPLC fingerprint. J Pharm Biomed Anal. 2020;194:113771doi: 10.1016/j.jpba.2020.113771.
Sang, Q., Jia, Q., Zhang, H., Lin, C., Zhao, X., Zhang, M., Wang, Y., & Hu, P. (2021). Chemical profiling and quality evaluation of Zhishi-Xiebai-Guizhi Decoction by UPLC-Q-TOF-MS and UPLC fingerprint. Journal of pharmaceutical and biomedical analysis, 194113771. https://doi.org/10.1016/j.jpba.2020.113771
Sang, Qingni, et al. "Chemical profiling and quality evaluation of Zhishi-Xiebai-Guizhi Decoction by UPLC-Q-TOF-MS and UPLC fingerprint." Journal of pharmaceutical and biomedical analysis vol. 194 (2021): 113771. doi: https://doi.org/10.1016/j.jpba.2020.113771
Sang Q, Jia Q, Zhang H, Lin C, Zhao X, Zhang M, Wang Y, Hu P. Chemical profiling and quality evaluation of Zhishi-Xiebai-Guizhi Decoction by UPLC-Q-TOF-MS and UPLC fingerprint. J Pharm Biomed Anal. 2021 Feb 05;194:113771. doi: 10.1016/j.jpba.2020.113771. Epub 2020 Nov 20. PMID: 33280997.
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[Different development phase of transcription proteomics and metabolomics of flower of Lonicera macranthoides].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica

Pan Y, Zhao X, Chen DX.
PMID: 34296578
Zhongguo Zhong Yao Za Zhi. 2021 Jun;46(11):2798-2805. doi: 10.19540/j.cnki.cjcmm.20210227.101.

In order to study the regulation mechanism of secondary metabolites biosynthesis in Lonicera macranthoides, the key genes involved in the regulation of biosynthesis and the mechanism of differential metabolites were explored. In this study, high-throughput sequencing technology was used...

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Pan Y, Zhao X, Chen DX. [Different development phase of transcription proteomics and metabolomics of flower of Lonicera macranthoides]. Zhongguo Zhong Yao Za Zhi. 2021;46(11):2798-2805doi: 10.19540/j.cnki.cjcmm.20210227.101.
Pan, Y., Zhao, X., & Chen, D. X. (2021). [Different development phase of transcription proteomics and metabolomics of flower of Lonicera macranthoides]. Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica, 46(11), 2798-2805. https://doi.org/10.19540/j.cnki.cjcmm.20210227.101
Pan, Yuan, et al. "[Different development phase of transcription proteomics and metabolomics of flower of Lonicera macranthoides]." Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica vol. 46,11 (2021): 2798-2805. doi: https://doi.org/10.19540/j.cnki.cjcmm.20210227.101
Pan Y, Zhao X, Chen DX. [Different development phase of transcription proteomics and metabolomics of flower of Lonicera macranthoides]. Zhongguo Zhong Yao Za Zhi. 2021 Jun;46(11):2798-2805. doi: 10.19540/j.cnki.cjcmm.20210227.101. Chinese. PMID: 34296578.
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Modifying Chromatography Conditions for Improved Unknown Feature Identification in Untargeted Metabolomics.

Analytical chemistry

Anderson BG, Raskind A, Habra H, Kennedy RT, Evans CR.
PMID: 34794310
Anal Chem. 2021 Dec 07;93(48):15840-15849. doi: 10.1021/acs.analchem.1c02149. Epub 2021 Nov 18.

Untargeted metabolomics is an essential component of systems biology research, but it is plagued by a high proportion of detectable features not identified with a chemical structure. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) experiments produce spectra that can be searched...

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Anderson BG, Raskind A, Habra H, et al. Modifying Chromatography Conditions for Improved Unknown Feature Identification in Untargeted Metabolomics. Anal Chem. 2021;93(48):15840-15849doi: 10.1021/acs.analchem.1c02149.
Anderson, B. G., Raskind, A., Habra, H., Kennedy, R. T., & Evans, C. R. (2021). Modifying Chromatography Conditions for Improved Unknown Feature Identification in Untargeted Metabolomics. Analytical chemistry, 93(48), 15840-15849. https://doi.org/10.1021/acs.analchem.1c02149
Anderson, Brady G, et al. "Modifying Chromatography Conditions for Improved Unknown Feature Identification in Untargeted Metabolomics." Analytical chemistry vol. 93,48 (2021): 15840-15849. doi: https://doi.org/10.1021/acs.analchem.1c02149
Anderson BG, Raskind A, Habra H, Kennedy RT, Evans CR. Modifying Chromatography Conditions for Improved Unknown Feature Identification in Untargeted Metabolomics. Anal Chem. 2021 Dec 07;93(48):15840-15849. doi: 10.1021/acs.analchem.1c02149. Epub 2021 Nov 18. PMID: 34794310.
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Showing 133 to 144 of 144 entries