Relevant bibliographies by topics / Label-free quantitative mass spectrometry

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  1. Journal articles
  2. Dissertations / Theses
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  4. Conference papers

Academic literature on the topic 'Label-free quantitative mass spectrometry'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Label-free quantitative mass spectrometry"

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Zhu, Wenhong, Jeffrey W. Smith, and Chun-Ming Huang. "Mass Spectrometry-Based Label-Free Quantitative Proteomics." Journal of Biomedicine and Biotechnology 2010 (2010): 1–6. http://dx.doi.org/10.1155/2010/840518.

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In order to study the differential protein expression in complex biological samples, strategies for rapid, highly reproducible and accurate quantification are necessary. Isotope labeling and fluorescent labeling techniques have been widely used in quantitative proteomics research. However, researchers are increasingly turning to label-free shotgun proteomics techniques for faster, cleaner, and simpler results. Mass spectrometry-based label-free quantitative proteomics falls into two general categories. In the first are the measurements of changes in chromatographic ion intensity such as peptid
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Neilson, Karlie A., Naveid A. Ali, Sridevi Muralidharan, et al. "Less label, more free: Approaches in label-free quantitative mass spectrometry." PROTEOMICS 11, no. 4 (2011): 535–53. http://dx.doi.org/10.1002/pmic.201000553.

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Lai, Xianyin, Lianshui Wang, and Frank A. Witzmann. "Issues and Applications in Label-Free Quantitative Mass Spectrometry." International Journal of Proteomics 2013 (January 16, 2013): 1–13. http://dx.doi.org/10.1155/2013/756039.

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To address the challenges associated with differential expression proteomics, label-free mass spectrometric protein quantification methods have been developed as alternatives to array-based, gel-based, and stable isotope tag or label-based approaches. In this paper, we focus on the issues associated with label-free methods that rely on quantitation based on peptide ion peak area measurement. These issues include chromatographic alignment, peptide qualification for quantitation, and normalization. In addressing these issues, we present various approaches, assembled in a recently developed label
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Kopylov, A. T., V. G. Zgoda, and A. I. Archakov. "Mass spectrometry label-free quantitative analysis of proteins." Biochemistry (Moscow) Supplement Series B: Biomedical Chemistry 4, no. 1 (2010): 49–58. http://dx.doi.org/10.1134/s1990750810010075.

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Unsihuay, Daisy, Daniela Mesa Sanchez, and Julia Laskin. "Quantitative Mass Spectrometry Imaging of Biological Systems." Annual Review of Physical Chemistry 72, no. 1 (2021): 307–29. http://dx.doi.org/10.1146/annurev-physchem-061020-053416.

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Mass spectrometry imaging (MSI) is a powerful, label-free technique that provides detailed maps of hundreds of molecules in complex samples with high sensitivity and subcellular spatial resolution. Accurate quantification in MSI relies on a detailed understanding of matrix effects associated with the ionization process along with evaluation of the extraction efficiency and mass-dependent ion losses occurring in the analysis step. We present a critical summary of approaches developed for quantitative MSI of metabolites, lipids, and proteins in biological tissues and discuss their current and fu
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Ankney, J. Astor, Adil Muneer, and Xian Chen. "Relative and Absolute Quantitation in Mass Spectrometry–Based Proteomics." Annual Review of Analytical Chemistry 11, no. 1 (2018): 49–77. http://dx.doi.org/10.1146/annurev-anchem-061516-045357.

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Mass spectrometry–based quantitative proteomics is a powerful tool for gaining insights into function and dynamics of biological systems. However, peptides with different sequences have different ionization efficiencies, and their intensities in a mass spectrum are not correlated with their abundances. Therefore, various label-free or stable isotope label–based quantitation methods have emerged to assist mass spectrometry to perform comparative proteomic experiments, thus enabling nonbiased identification of thousands of proteins differentially expressed in healthy versus diseased cells. Here,
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ZHANG, Wei, Ji-Yang ZHANG, Hui LIU, et al. "Development of Algorithms for Mass Spectrometry-based Label-free Quantitative Proteomics*." PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS 38, no. 6 (2011): 506–18. http://dx.doi.org/10.3724/sp.j.1206.2010.00560.

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HIRABAYASHI, Atsumu, Masafumi FURUKAWA, Mitsuhiro UMEDA, Tomomi BANDO, and Yoshimitsu ORII. "Probe for Label-free Quantitative Analysis in Liquid Chromatography/Mass Spectrometry." Analytical Sciences 25, no. 1 (2009): 67–71. http://dx.doi.org/10.2116/analsci.25.67.

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Müller, Fränze, Lutz Fischer, Zhuo Angel Chen, Tania Auchynnikava, and Juri Rappsilber. "On the Reproducibility of Label-Free Quantitative Cross-Linking/Mass Spectrometry." Journal of The American Society for Mass Spectrometry 29, no. 2 (2017): 405–12. http://dx.doi.org/10.1007/s13361-017-1837-2.

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Wasinger, Valerie C., Ming Zeng, and Yunki Yau. "Current Status and Advances in Quantitative Proteomic Mass Spectrometry." International Journal of Proteomics 2013 (March 6, 2013): 1–12. http://dx.doi.org/10.1155/2013/180605.

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The accurate quantitation of proteins and peptides in complex biological systems is one of the most challenging areas of proteomics. Mass spectrometry-based approaches have forged significant in-roads allowing accurate and sensitive quantitation and the ability to multiplex vastly complex samples through the application of robust bioinformatic tools. These relative and absolute quantitative measures using label-free, tags, or stable isotope labelling have their own strengths and limitations. The continuous development of these methods is vital for increasing reproducibility in the rapidly expa
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Dissertations / Theses on the topic "Label-free quantitative mass spectrometry"

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Zhao, Bei. "Comparison of Label and Label-free Quantitative Liquid Chromatography Tandem Mass Spectrometry for Protein Biomarker Discovery." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1285089805.

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Jarnuczak, Andrew. "Mass spectrometry-based quantitative proteomics applied to the analysis of Saccharomyces cerevisiae heat stress response and chaperone deletion strains." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/mass-spectrometrybased-quantitative-proteomics-applied-to-the-analysis-of-saccharomyces-cerevisiae-heat-stress-response-and-chaperone-deletion-strains(c653915b-70fa-44d7-9bb7-6e7965349ff0).html.

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In the last decade omics technologies enabled detailed and system-wide analysis of complex biological samples. Genomics, transcriptomics and metabolomics all benefited tremendously from technological advances in their respective fields. Proteomics was revolutionised by mass spectrometry, which allowed simultaneous identification of thousands of proteins in cells, tissues and organisms. And this mainly qualitative revolution, quickly turned quantitative. This work had two main objectives. Firstly, to apply the state of the art instrumentation, data analysis and bioinformatics methods to better
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Hundt, Franziska Christine [Verfasser], Dirk [Gutachter] Wolters, and Raphael [Gutachter] Stoll. "Mass spectrometry-based label-free quantitation of the Rab GTPase family from cultured human cells / Franziska Christine Hundt. Gutachter: Dirk Wolters ; Raphael Stoll." Bochum : Ruhr-Universität Bochum, 2016. http://d-nb.info/1112326715/34.

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Muller, Leslie. "Développements de méthodes de préparation d’échantillons pour l’analyse protéomique quantitative : application à la recherche de biomarqueurs de pathologies." Thesis, Strasbourg, 2017. http://www.theses.fr/2017STRAF067/document.

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Les stratégies de protéomique quantitative sans marquage sont très attractives dans le domaine de la recherche de biomarqueurs de pathologies. Cependant, elles requièrent une pleine maîtrise du schéma analytique et de sa répétabilité. Plus particulièrement, la préparation d’échantillons nécessite d’être suffisamment répétable pour ne pas impacter la qualité et la fiabilité des résultats. Les objectifs de cette thèse étaient de développer et d’optimiser des méthodes analytiques pour la protéomique quantitative, en particulier pour l’étape de préparation d’échantillons. Ainsi, un protocole innov
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Krauß, Stephanie Angela [Verfasser]. "Occurrence, distribution and relevance of bioactive compounds (free and esterified phytol and tocopherols as well as capsaicinoids) in Capsicum fruits: Combining quantitative analysis with stable isotope ratio mass spectrometry / Stephanie Angela Krauß." München : Verlag Dr. Hut, 2021. http://d-nb.info/1238423140/34.

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Slade, Susan E. "Application of label-free mass spectrometry-based proteomics to biomarker discovery." Thesis, University of Warwick, 2013. http://wrap.warwick.ac.uk/57747/.

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Mass spectrometry is an analytical technique which is used extensively in the fields of chemistry and physics. Developments in the field over the last two decades have permitted the analysis of a wide variety of biological molecules from a range of sources. The term proteomics relates to the study of the protein complement of a cell or organism with particular interest in the identification and quantification of these analytes. A biomarker is a characteristic that can be measured and evaluated to give an indication of normal, biological processes, or pharmacological responses to a therapeutic
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Niehage, Christian. "Label-free and spike-in standard-free mass spectrometry in the proteomic analysis of plasma membrane proteins and membrane-associated protein networks." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-134966.

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Mass spectrometry is the primary technology of proteomics. For the analysis of complex proteomes, protein identities and quantities are inferred from their peptides that are generated by cleaving all proteins with the endopeptidase trypsin. But there is one major disadvantage that is due to biophysical differences, different peptides cause different intensities. Miscellaneous approaches have been developed to circumvent this problem based on the chemical or metabolic introduction of heavy stable isotopes. This enables to monitor protein abundance differences of two or more samples on the same
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Ranbaduge, Nilini Sugeesha. "Mass Spectrometry-Based Clinical Proteomics for Non-Small Cell Lung Cancer." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1469103007.

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Niehage, Christian [Verfasser], Bernard [Akademischer Betreuer] Hoflack, and Henning [Akademischer Betreuer] Urlaub. "Label-free and spike-in standard-free mass spectrometry in the proteomic analysis of plasma membrane proteins and membrane-associated protein networks / Christian Niehage. Gutachter: Bernard Hoflack ; Henning Urlaub. Betreuer: Bernard Hoflack." Dresden : Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://d-nb.info/1068445378/34.

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van, Oosten Luuk Nico [Verfasser], and Christian D. [Akademischer Betreuer] Klein. "A novel high-throughput and label-free phenotypic drug screening approach: MALDI-TOF mass spectrometry combined with machine learning strategies / Luuk Nico van Oosten ; Betreuer: Christian D. Klein." Heidelberg : Universitätsbibliothek Heidelberg, 2020. http://d-nb.info/1211820904/34.

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Book chapters on the topic "Label-free quantitative mass spectrometry"

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Calloni, Giulia, and R. Martin Vabulas. "Mammalian Flavoproteome Analysis Using Label-Free Quantitative Mass Spectrometry." In Methods in Molecular Biology. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1286-6_17.

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Soderblom, Erik J., J. Will Thompson, and M. Arthur Moseley. "CHAPTER 6. Overview and Implementation of Mass Spectrometry-Based Label-Free Quantitative Proteomics." In Quantitative Proteomics. Royal Society of Chemistry, 2014. http://dx.doi.org/10.1039/9781782626985-00129.

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Haqqani, Arsalan S., John F. Kelly, and Danica B. Stanimirovic. "Quantitative Protein Profiling by Mass Spectrometry Using Label-Free Proteomics." In Methods in Molecular Biology. Humana Press, 2008. http://dx.doi.org/10.1007/978-1-59745-188-8_17.

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Hixson, Kim K. "Label-Free Relative Quantitation of Prokaryotic Proteomes Using the Accurate Mass and Time Tag Approach." In Mass Spectrometry of Proteins and Peptides. Humana Press, 2009. http://dx.doi.org/10.1007/978-1-59745-493-3_3.

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Wong, Jason W. H., and Gerard Cagney. "An Overview of Label-Free Quantitation Methods in Proteomics by Mass Spectrometry." In Methods in Molecular Biology. Humana Press, 2009. http://dx.doi.org/10.1007/978-1-60761-444-9_18.

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Pan, Chao, Wenxian Peng, Huilong Duan, and Ning Deng. "Complex Proteomes Analysis Using Label-Free Mass Spectrometry-Based Quantitative Approach Coupled with Biomedical Knowledge." In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-662-44980-6_3.

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Fox, Archa, Virja Mehta, Severine Boulon, and Laura Trinkle-Mulcahy. "Extracting, Enriching, and Identifying Nuclear Body Sub-Complexes Using Label-Based Quantitative Mass Spectrometry." In Methods in Molecular Biology. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-2253-6_13.

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Schilling, Birgit, Bradford W. Gibson, and Christie L. Hunter. "Generation of High-Quality SWATH® Acquisition Data for Label-free Quantitative Proteomics Studies Using TripleTOF® Mass Spectrometers." In Methods in Molecular Biology. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-6747-6_16.

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Bonnel, David, Dora Mehn, and Gerardo R. Marchesini. "Label-Free Biosensor Affinity Analysis Coupled to Mass Spectrometry." In Analyzing Biomolecular Interactions by Mass Spectrometry. Wiley-VCH Verlag GmbH & Co. KGaA, 2015. http://dx.doi.org/10.1002/9783527673391.ch10.

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Ghosh, Avishek, and Padinjat Raghu. "Label-Free Quantification of Phosphoinositides in Drosophila by Mass Spectrometry." In Methods in Molecular Biology. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1142-5_2.

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Conference papers on the topic "Label-free quantitative mass spectrometry"

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Manfredi, Marcello, Simona Martinotti, Mauro Patrone, Maria Paola Sassi, Elia Ranzato, and Emilio Marengo. "Targeted quantitation of HMGB1 protein by label-free Mass Spectrometry technique." In 2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE, 2015. http://dx.doi.org/10.1109/memea.2015.7145260.

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Yuan, Chao, Gaurav S. J. B. Rana, Jinsook Chang, Rob M. Ewing, and Mark R. Chance. "Comparison of Label Free and 18 O Labeling Mass Spectrometry in Relative Protein Quantification." In 2009 Ohio Collaborative Conference on Bioinformatics (OCCBIO). IEEE, 2009. http://dx.doi.org/10.1109/occbio.2009.28.

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Organ, Shawna L., Jiefei Tong, Paul Taylor, et al. "Abstract 5566: Phosphoproteomic profiling of Met / K-Ras signaling in colorectal cancer by label-free LTQ-Orbitrap mass spectrometry." In Proceedings: AACR 101st Annual Meeting 2010‐‐ Apr 17‐21, 2010; Washington, DC. American Association for Cancer Research, 2010. http://dx.doi.org/10.1158/1538-7445.am10-5566.

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Toyama, Atsuhiko, Koji Ueda, Hidewaki Nakagawa, Yataro Daigo, Taka-Aki Sato, and Yusuke Nakamura. "Abstract 4569: Serum proteome analysis by label-free quantification system and LC-MALDI mass spectrometry for the discovery of novel biomarkers for lung cancer." In Proceedings: AACR 101st Annual Meeting 2010‐‐ Apr 17‐21, 2010; Washington, DC. American Association for Cancer Research, 2010. http://dx.doi.org/10.1158/1538-7445.am10-4569.

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Townsend, RR, H. Rohrs, R. Leduc, et al. "Identification of urinary biomarkers to distinguish tumor bearing and control rats in the methylnitrosourea (MNU) – induced model of mammary carcinogenesis: use of label-free, comparative, ultra-high resolution nano-LC mass spectrometry." In CTRC-AACR San Antonio Breast Cancer Symposium: 2008 Abstracts. American Association for Cancer Research, 2009. http://dx.doi.org/10.1158/0008-5472.sabcs-1109.

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