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Showing 193 to 204 of 212 entries
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Metabolic Flux Analysis: Moving beyond Static Metabolomics.

Trends in biochemical sciences

Radenkovic S, Vuckovic I, Lanza IR.
PMID: 32413328
Trends Biochem Sci. 2020 Jun;45(6):545-546. doi: 10.1016/j.tibs.2020.02.011. Epub 2020 Mar 26.

No abstract available.

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Radenkovic S, Vuckovic I, Lanza IR. Metabolic Flux Analysis: Moving beyond Static Metabolomics. Trends Biochem Sci. 2020;45(6):545-546doi: 10.1016/j.tibs.2020.02.011.
Radenkovic, S., Vuckovic, I., & Lanza, I. R. (2020). Metabolic Flux Analysis: Moving beyond Static Metabolomics. Trends in biochemical sciences, 45(6), 545-546. https://doi.org/10.1016/j.tibs.2020.02.011
Radenkovic, Silvia, et al. "Metabolic Flux Analysis: Moving beyond Static Metabolomics." Trends in biochemical sciences vol. 45,6 (2020): 545-546. doi: https://doi.org/10.1016/j.tibs.2020.02.011
Radenkovic S, Vuckovic I, Lanza IR. Metabolic Flux Analysis: Moving beyond Static Metabolomics. Trends Biochem Sci. 2020 Jun;45(6):545-546. doi: 10.1016/j.tibs.2020.02.011. Epub 2020 Mar 26. PMID: 32413328.
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Proteoform Identification by Combining RNA-Seq and Top-Down Mass Spectrometry.

Journal of proteome research

Chen W, Liu X.
PMID: 33183009
J Proteome Res. 2021 Jan 01;20(1):261-269. doi: 10.1021/acs.jproteome.0c00369. Epub 2020 Nov 12.

In proteogenomic studies, genomic and transcriptomic variants are incorporated into customized protein databases for the identification of proteoforms, especially proteoforms with sample-specific variants. Most proteogenomic research has been focused on combining genomic or transcriptomic data with bottom-up mass spectrometry...

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Chen W, Liu X. Proteoform Identification by Combining RNA-Seq and Top-Down Mass Spectrometry. J Proteome Res. 2020;20(1):261-269doi: 10.1021/acs.jproteome.0c00369.
Chen, W., & Liu, X. (2021). Proteoform Identification by Combining RNA-Seq and Top-Down Mass Spectrometry. Journal of proteome research, 20(1), 261-269. https://doi.org/10.1021/acs.jproteome.0c00369
Chen, Wenrong, and Liu, Xiaowen. "Proteoform Identification by Combining RNA-Seq and Top-Down Mass Spectrometry." Journal of proteome research vol. 20,1 (2021): 261-269. doi: https://doi.org/10.1021/acs.jproteome.0c00369
Chen W, Liu X. Proteoform Identification by Combining RNA-Seq and Top-Down Mass Spectrometry. J Proteome Res. 2021 Jan 01;20(1):261-269. doi: 10.1021/acs.jproteome.0c00369. Epub 2020 Nov 12. PMID: 33183009; PMCID: PMC7775893.
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Proteoform Identification by Combining RNA-Seq and Top-Down Mass Spectrometry.

Journal of proteome research

Chen W, Liu X.
PMID: 33183009
J Proteome Res. 2021 Jan 01;20(1):261-269. doi: 10.1021/acs.jproteome.0c00369. Epub 2020 Nov 12.

In proteogenomic studies, genomic and transcriptomic variants are incorporated into customized protein databases for the identification of proteoforms, especially proteoforms with sample-specific variants. Most proteogenomic research has been focused on combining genomic or transcriptomic data with bottom-up mass spectrometry...

Cite
Chen W, Liu X. Proteoform Identification by Combining RNA-Seq and Top-Down Mass Spectrometry. J Proteome Res. 2020;20(1):261-269doi: 10.1021/acs.jproteome.0c00369.
Chen, W., & Liu, X. (2021). Proteoform Identification by Combining RNA-Seq and Top-Down Mass Spectrometry. Journal of proteome research, 20(1), 261-269. https://doi.org/10.1021/acs.jproteome.0c00369
Chen, Wenrong, and Liu, Xiaowen. "Proteoform Identification by Combining RNA-Seq and Top-Down Mass Spectrometry." Journal of proteome research vol. 20,1 (2021): 261-269. doi: https://doi.org/10.1021/acs.jproteome.0c00369
Chen W, Liu X. Proteoform Identification by Combining RNA-Seq and Top-Down Mass Spectrometry. J Proteome Res. 2021 Jan 01;20(1):261-269. doi: 10.1021/acs.jproteome.0c00369. Epub 2020 Nov 12. PMID: 33183009; PMCID: PMC7775893.
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Mass spectrometry for small molecule pharmaceutical product development: a review.

Mass spectrometry reviews

Gillespie TA, Winger BE.
PMID: 21500245
Mass Spectrom Rev. 2011 May-Jun;30(3):479-90. doi: 10.1002/mas.20289. Epub 2010 Dec 22.

Developing a pharmaceutical product has become increasingly difficult and expensive. With an emphasis on developing project knowledge at an earlier stage in development, the use of information-rich technologies (particularly MS) has continued to expand throughout product development. Continued improvements...

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Gillespie TA, Winger BE. Mass spectrometry for small molecule pharmaceutical product development: a review. Mass Spectrom Rev. 2010;30(3):479-90doi: 10.1002/mas.20289.
Gillespie, T. A., & Winger, B. E. (2011). Mass spectrometry for small molecule pharmaceutical product development: a review. Mass spectrometry reviews, 30(3), 479-90. https://doi.org/10.1002/mas.20289
Gillespie, Todd A, and Winger, Brian E. "Mass spectrometry for small molecule pharmaceutical product development: a review." Mass spectrometry reviews vol. 30,3 (2011): 479-90. doi: https://doi.org/10.1002/mas.20289
Gillespie TA, Winger BE. Mass spectrometry for small molecule pharmaceutical product development: a review. Mass Spectrom Rev. 2011 May-Jun;30(3):479-90. doi: 10.1002/mas.20289. Epub 2010 Dec 22. PMID: 21500245.
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Quick-start infrastructure for untargeted metabolomics analysis in GNPS.

Nature metabolism

Leao TF, Clark CM, Bauermeister A, Elijah EO, Gentry EC, Husband M, Oliveira MF, Bandeira N, Wang M, Dorrestein PC.
PMID: 34244695
Nat Metab. 2021 Jul;3(7):880-882. doi: 10.1038/s42255-021-00429-0.

No abstract available.

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Leao TF, Clark CM, Bauermeister A, et al. Quick-start infrastructure for untargeted metabolomics analysis in GNPS. Nat Metab. 2021;3(7):880-882doi: 10.1038/s42255-021-00429-0.
Leao, T. F., Clark, C. M., Bauermeister, A., Elijah, E. O., Gentry, E. C., Husband, M., Oliveira, M. F., Bandeira, N., Wang, M., & Dorrestein, P. C. (2021). Quick-start infrastructure for untargeted metabolomics analysis in GNPS. Nature metabolism, 3(7), 880-882. https://doi.org/10.1038/s42255-021-00429-0
Leao, Tiago F, et al. "Quick-start infrastructure for untargeted metabolomics analysis in GNPS." Nature metabolism vol. 3,7 (2021): 880-882. doi: https://doi.org/10.1038/s42255-021-00429-0
Leao TF, Clark CM, Bauermeister A, Elijah EO, Gentry EC, Husband M, Oliveira MF, Bandeira N, Wang M, Dorrestein PC. Quick-start infrastructure for untargeted metabolomics analysis in GNPS. Nat Metab. 2021 Jul;3(7):880-882. doi: 10.1038/s42255-021-00429-0. PMID: 34244695.
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Systematic review with meta-analysis of diagnostic test accuracy for COVID-19 by mass spectrometry.

Metabolism: clinical and experimental

Spick M, Lewis HM, Wilde MJ, Hopley C, Huggett J, Bailey MJ.
PMID: 34715115
Metabolism. 2022 Jan;126:154922. doi: 10.1016/j.metabol.2021.154922. Epub 2021 Oct 27.

BACKGROUND: The global COVID-19 pandemic has led to extensive development in many fields, including the diagnosis of COVID-19 infection by mass spectrometry. The aim of this systematic review and meta-analysis was to assess the accuracy of mass spectrometry diagnostic...

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Spick M, Lewis HM, Wilde MJ, et al. Systematic review with meta-analysis of diagnostic test accuracy for COVID-19 by mass spectrometry. Metabolism. 2021;126:154922doi: 10.1016/j.metabol.2021.154922.
Spick, M., Lewis, H. M., Wilde, M. J., Hopley, C., Huggett, J., & Bailey, M. J. (2022). Systematic review with meta-analysis of diagnostic test accuracy for COVID-19 by mass spectrometry. Metabolism: clinical and experimental, 126154922. https://doi.org/10.1016/j.metabol.2021.154922
Spick, Matt, et al. "Systematic review with meta-analysis of diagnostic test accuracy for COVID-19 by mass spectrometry." Metabolism: clinical and experimental vol. 126 (2022): 154922. doi: https://doi.org/10.1016/j.metabol.2021.154922
Spick M, Lewis HM, Wilde MJ, Hopley C, Huggett J, Bailey MJ. Systematic review with meta-analysis of diagnostic test accuracy for COVID-19 by mass spectrometry. Metabolism. 2022 Jan;126:154922. doi: 10.1016/j.metabol.2021.154922. Epub 2021 Oct 27. PMID: 34715115; PMCID: PMC8548837.
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Coulombic effects on resolution of ion mobility spectrometry and its application in online qualitative analysis.

Analytica chimica acta

Zhang G, Peng S, Yang J, Cao S, Huang Q.
PMID: 34627503
Anal Chim Acta. 2021 Oct 23;1183:338969. doi: 10.1016/j.aca.2021.338969. Epub 2021 Aug 20.

Ion mobility spectrometry is an important gas analysis method used in the rapid detection field. However, due to a lacking of explicit mathematical model of ion peak, it is difficult to extract characteristic analyte peaks from a spectrum containing...

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Zhang G, Peng S, Yang J, et al. Coulombic effects on resolution of ion mobility spectrometry and its application in online qualitative analysis. Anal Chim Acta. 2021;1183:338969doi: 10.1016/j.aca.2021.338969.
Zhang, G., Peng, S., Yang, J., Cao, S., & Huang, Q. (2021). Coulombic effects on resolution of ion mobility spectrometry and its application in online qualitative analysis. Analytica chimica acta, 1183338969. https://doi.org/10.1016/j.aca.2021.338969
Zhang, Genwei, et al. "Coulombic effects on resolution of ion mobility spectrometry and its application in online qualitative analysis." Analytica chimica acta vol. 1183 (2021): 338969. doi: https://doi.org/10.1016/j.aca.2021.338969
Zhang G, Peng S, Yang J, Cao S, Huang Q. Coulombic effects on resolution of ion mobility spectrometry and its application in online qualitative analysis. Anal Chim Acta. 2021 Oct 23;1183:338969. doi: 10.1016/j.aca.2021.338969. Epub 2021 Aug 20. PMID: 34627503.
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Coupling Droplet Microfluidics with Ion Mobility Spectrometry for Monitoring Chemical Conversions at Nanoliter Scale.

Analytical chemistry

Hartner NT, Wink K, Raddatz CR, Thoben C, Schirmer M, Zimmermann S, Belder D.
PMID: 34592821
Anal Chem. 2021 Oct 12;93(40):13615-13623. doi: 10.1021/acs.analchem.1c02883. Epub 2021 Sep 30.

We introduce the coupling of droplet microfluidics and ion mobility spectrometry (IMS) to address the challenges of label-free and chemical-specific detection of compounds in individual droplets. In analogy to the established use of mass spectrometry, droplet-IMS coupling can be...

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Hartner NT, Wink K, Raddatz CR, et al. Coupling Droplet Microfluidics with Ion Mobility Spectrometry for Monitoring Chemical Conversions at Nanoliter Scale. Anal Chem. 2021;93(40):13615-13623doi: 10.1021/acs.analchem.1c02883.
Hartner, N. T., Wink, K., Raddatz, C. R., Thoben, C., Schirmer, M., Zimmermann, S., & Belder, D. (2021). Coupling Droplet Microfluidics with Ion Mobility Spectrometry for Monitoring Chemical Conversions at Nanoliter Scale. Analytical chemistry, 93(40), 13615-13623. https://doi.org/10.1021/acs.analchem.1c02883
Hartner, Nora T, et al. "Coupling Droplet Microfluidics with Ion Mobility Spectrometry for Monitoring Chemical Conversions at Nanoliter Scale." Analytical chemistry vol. 93,40 (2021): 13615-13623. doi: https://doi.org/10.1021/acs.analchem.1c02883
Hartner NT, Wink K, Raddatz CR, Thoben C, Schirmer M, Zimmermann S, Belder D. Coupling Droplet Microfluidics with Ion Mobility Spectrometry for Monitoring Chemical Conversions at Nanoliter Scale. Anal Chem. 2021 Oct 12;93(40):13615-13623. doi: 10.1021/acs.analchem.1c02883. Epub 2021 Sep 30. PMID: 34592821.
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Expansion of the ion library for mining SWATH-MS data through fractionation proteomics.

Analytical chemistry

Zi J, Zhang S, Zhou R, Zhou B, Xu S, Hou G, Tan F, Wen B, Wang Q, Lin L, Liu S.
PMID: 24969961
Anal Chem. 2014 Aug 05;86(15):7242-6. doi: 10.1021/ac501828a. Epub 2014 Jul 11.

The strategy of sequential window acquisition of all theoretical fragment ion spectra (SWATH) is emerging in the field of label-free proteomics. A critical consideration for the processing of SWATH data is the quality of the ion library (or mass...

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Zi J, Zhang S, Zhou R, et al. Expansion of the ion library for mining SWATH-MS data through fractionation proteomics. Anal Chem. 2014;86(15):7242-6doi: 10.1021/ac501828a.
Zi, J., Zhang, S., Zhou, R., Zhou, B., Xu, S., Hou, G., Tan, F., Wen, B., Wang, Q., Lin, L., & Liu, S. (2014). Expansion of the ion library for mining SWATH-MS data through fractionation proteomics. Analytical chemistry, 86(15), 7242-6. https://doi.org/10.1021/ac501828a
Zi, Jin, et al. "Expansion of the ion library for mining SWATH-MS data through fractionation proteomics." Analytical chemistry vol. 86,15 (2014): 7242-6. doi: https://doi.org/10.1021/ac501828a
Zi J, Zhang S, Zhou R, Zhou B, Xu S, Hou G, Tan F, Wen B, Wang Q, Lin L, Liu S. Expansion of the ion library for mining SWATH-MS data through fractionation proteomics. Anal Chem. 2014 Aug 05;86(15):7242-6. doi: 10.1021/ac501828a. Epub 2014 Jul 11. PMID: 24969961.
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Rapid authentication of Gastrodiae rhizoma by direct ionization mass spectrometry.

Analytica chimica acta

Wong HY, Hu B, So PK, Chan CO, Mok DK, Xin GZ, Li P, Yao ZP.
PMID: 27619090
Anal Chim Acta. 2016 Sep 28;938:90-7. doi: 10.1016/j.aca.2016.07.028. Epub 2016 Jul 28.

In this study, direct ionization mass spectrometry (DI-MS) for rapid authentication of Gastrodiae rhizoma (known as Tianma in Chinese), a popular herbal medicine, has been developed. This method is rapid, simple and allows direct generation of characteristic mass spectra...

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Wong HY, Hu B, So PK, et al. Rapid authentication of Gastrodiae rhizoma by direct ionization mass spectrometry. Anal Chim Acta. 2016;938:90-7doi: 10.1016/j.aca.2016.07.028.
Wong, H. Y., Hu, B., So, P. K., Chan, C. O., Mok, D. K., Xin, G. Z., Li, P., & Yao, Z. P. (2016). Rapid authentication of Gastrodiae rhizoma by direct ionization mass spectrometry. Analytica chimica acta, 93890-7. https://doi.org/10.1016/j.aca.2016.07.028
Wong, Ho-Yi, et al. "Rapid authentication of Gastrodiae rhizoma by direct ionization mass spectrometry." Analytica chimica acta vol. 938 (2016): 90-7. doi: https://doi.org/10.1016/j.aca.2016.07.028
Wong HY, Hu B, So PK, Chan CO, Mok DK, Xin GZ, Li P, Yao ZP. Rapid authentication of Gastrodiae rhizoma by direct ionization mass spectrometry. Anal Chim Acta. 2016 Sep 28;938:90-7. doi: 10.1016/j.aca.2016.07.028. Epub 2016 Jul 28. PMID: 27619090.
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iSwathX 2.0 for Processing DDA Spectral Libraries for DIA Data Analysis.

Current protocols in bioinformatics

Noor Z, Mohamedali A, Ranganathan S.
PMID: 32478466
Curr Protoc Bioinformatics. 2020 Jun;70(1):e101. doi: 10.1002/cpbi.101.

The iSwathX web application processes and normalizes mass spectrometry-based proteomics spectral libraries generated in the data-dependent acquisition (DDA) approach. These libraries are stored in various proteomics repositories such as PeptideAtlas and NIST, or are user-generated and provide reference data...

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Noor Z, Mohamedali A, Ranganathan S. iSwathX 2.0 for Processing DDA Spectral Libraries for DIA Data Analysis. Curr Protoc Bioinformatics. 2020;70(1):e101doi: 10.1002/cpbi.101.
Noor, Z., Mohamedali, A., & Ranganathan, S. (2020). iSwathX 2.0 for Processing DDA Spectral Libraries for DIA Data Analysis. Current protocols in bioinformatics, 70(1), e101. https://doi.org/10.1002/cpbi.101
Noor, Zainab, et al. "iSwathX 2.0 for Processing DDA Spectral Libraries for DIA Data Analysis." Current protocols in bioinformatics vol. 70,1 (2020): e101. doi: https://doi.org/10.1002/cpbi.101
Noor Z, Mohamedali A, Ranganathan S. iSwathX 2.0 for Processing DDA Spectral Libraries for DIA Data Analysis. Curr Protoc Bioinformatics. 2020 Jun;70(1):e101. doi: 10.1002/cpbi.101. PMID: 32478466.
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Mass spectrometry-based metabolomics for an in-depth questioning of human health.

Advances in clinical chemistry

Alves S, Paris A, Rathahao-Paris E.
PMID: 32951636
Adv Clin Chem. 2020;99:147-191. doi: 10.1016/bs.acc.2020.02.009. Epub 2020 Mar 17.

Today, metabolomics is becoming an indispensable tool to get a more comprehensive analysis of complex living systems, providing insights on multiple aspects of physiology. Although its application in large scale population-based studies is very challenging due to the processing...

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Alves S, Paris A, Rathahao-Paris E. Mass spectrometry-based metabolomics for an in-depth questioning of human health. Adv Clin Chem. 2020;99:147-191doi: 10.1016/bs.acc.2020.02.009.
Alves, S., Paris, A., & Rathahao-Paris, E. (2020). Mass spectrometry-based metabolomics for an in-depth questioning of human health. Advances in clinical chemistry, 99147-191. https://doi.org/10.1016/bs.acc.2020.02.009
Alves, Sandra, et al. "Mass spectrometry-based metabolomics for an in-depth questioning of human health." Advances in clinical chemistry vol. 99 (2020): 147-191. doi: https://doi.org/10.1016/bs.acc.2020.02.009
Alves S, Paris A, Rathahao-Paris E. Mass spectrometry-based metabolomics for an in-depth questioning of human health. Adv Clin Chem. 2020;99:147-191. doi: 10.1016/bs.acc.2020.02.009. Epub 2020 Mar 17. PMID: 32951636.
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Showing 193 to 204 of 212 entries