Academic literature on the topic 'Mass spectrometry proteomics in Ruby'

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Journal articles on the topic "Mass spectrometry proteomics in Ruby"

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Prince, J. T., and E. M. Marcotte. "mspire: mass spectrometry proteomics in Ruby." Bioinformatics 24, no. 23 (2008): 2796–97. http://dx.doi.org/10.1093/bioinformatics/btn513.

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Akar, Nejat, Duygu Ozel Demiralp, Ibrahim C. Haznedaroglu, and Hakan Goker. "Functional Proteomics of Ankaferd Blood Stopper." Blood 112, no. 11 (2008): 4103. http://dx.doi.org/10.1182/blood.v112.11.4103.4103.

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Abstract Ankaferd Blood Stopper (ABS) comprises a standardized mixture of the plants Thymus vulgaris, Glycyrrhiza glabra, Vitis vinifera, Alpinia officinarum and Urtica dioica. The basic mechanism of action for ABS is the formation of an encapsulated protein network that provides focal points for vital erythrocyte aggregation. ABS–induced protein network formation with blood cells particularly erythrocytes covers the primary and secondary haemostatic system without disturbing individual coagulation factors (Figure 1). The aim of this study is to perform functional proteomic analyses of ABS, wh
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Lannert, Heinrich, Thomas Able, Thomas Franz, et al. "G-CSF Stimulates Expression of Non-Phosphorylated Stathmin (Oncoprotein, Op18) in Hematopoietic Stem Cells." Blood 110, no. 11 (2007): 2215. http://dx.doi.org/10.1182/blood.v110.11.2215.2215.

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Abstract Stathmin/Op18 is a cytosolic phosphoprotein which regulates the dynamics of microtubules. This regulation is important in mitosis during cell division and in the migration of cells in modification of the cytoskeleton. In this study we investigated native hematopoietic CD34+ stem cells (HSCs) from BM in comparison to mobilized peripheral blood stem cells (mPBSCs) from G-CSF stimulated healthy donors. All the cell fractions were highly enriched (>99%). In comparative proteome analysis mPBSCs showed high levels of Stathmin compared to native HSCs from BM. We monitored Stathmin by
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Wada, Kazuya, Atsushi Ogiwara, Keiko Nagasaka, Naoki Tanaka, and Yasuhiko Komatsu. "i-RUBY: A novel software for quantitative analysis of highly accurate shotgun-proteomics liquid chromatography/tandem mass spectrometry data obtained without stable-isotope labeling of proteins." Rapid Communications in Mass Spectrometry 25, no. 7 (2011): 960–68. http://dx.doi.org/10.1002/rcm.4943.

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Thongboonkerd, Visith, Jon B. Klein, William M. Pierce, Anthony W. Jevans, and John M. Arthur. "Sodium loading changes urinary protein excretion: a proteomic analysis." American Journal of Physiology-Renal Physiology 284, no. 6 (2003): F1155—F1163. http://dx.doi.org/10.1152/ajprenal.00140.2002.

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Plasma sodium concentration is maintained even when sodium intake is altered. Sodium homeostasis may involve changes in renal tubular protein expression that are reflected in the urine. We used proteomic analysis to investigate changes in urinary protein excretion in response to acute sodium loading. Rats were given deionized water followed by hypertonic (2.7%) saline for 28 h each. Urinary protein expression was determined during the final 4 h of each treatment. Acute sodium loading increased urinary sodium excretion (4.53 ± 1.74 vs. 1.70 ± 0.27 mmol/day, P = 0.029). Urinary proteins were sep
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Nock, Christina M., Malcolm S. Ball, Ian R. White, J. Mark Skehel, Louisa Bill, and Peter Karuso. "Mass spectrometric compatibility of Deep Purple and SYPRO Ruby total protein stains for high-throughput proteomics using large-format two-dimensional gel electrophoresis." Rapid Communications in Mass Spectrometry 22, no. 6 (2008): 881–86. http://dx.doi.org/10.1002/rcm.3483.

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Lannert, Heinrich, Thomas Franz, Volker Eckstein, et al. "Quantitative and Qualitative Protein Expression Mapping of Highly Enriched G-CSF Mobilized CD34+ Stem Cells from Peripheral Blood." Blood 104, no. 11 (2004): 4130. http://dx.doi.org/10.1182/blood.v104.11.4130.4130.

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Abstract Background: Proteome analysis is a direct measurement of proteins in terms of their presence and relative abundance in a defined system. The overall aim of a proteomic study is characterization of the complex network of cell regulation. Different states of a cell can be compared and specific qualitative and quantitative protein changes can be identified. We focused our first proteom-investigations on G-CSF mobilized CD34+ stem cells from peripheral blood (PB). Methods: Mononuclear cells from healthy donors were isolated by a standard Ficoll-Hypaque gradient separation method after leu
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Antohe, F. "Mass Spectrometry Based Proteomics." Acta Endocrinologica (Bucharest) 11, no. 2 (2015): 139–42. http://dx.doi.org/10.4183/aeb.2015.139.

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PATTERSON, SCOTT D. "Mass spectrometry and proteomics." Physiological Genomics 2, no. 2 (2000): 59–65. http://dx.doi.org/10.1152/physiolgenomics.2000.2.2.59.

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McCormack, Ashley L. "Mass spectrometry in proteomics." Methods 35, no. 3 (2005): 209–10. http://dx.doi.org/10.1016/j.ymeth.2004.08.012.

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Dissertations / Theses on the topic "Mass spectrometry proteomics in Ruby"

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Frank, Ari Michael. "Algorithms for tandem mass spectrometry-based proteomics." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2008. http://wwwlib.umi.com/cr/ucsd/fullcit?p3307704.

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Thesis (Ph. D.)--University of California, San Diego, 2008.<br>Title from first page of PDF file (viewed August 13, 2008). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 187-205).
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Qiu, Haibo. "Mass spectrometry-based chemical and quantitative proteomics." Diss., [Riverside, Calif.] : University of California, Riverside, 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3350081.

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Thesis (Ph. D.)--University of California, Riverside, 2009.<br>Includes abstract. Title from first page of PDF file (viewed March 8, 2010). Includes bibliographical references. Issued in print and online. Available via ProQuest Digital Dissertations.
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Kang, Huan. "Mass Spectrometry Based Proteomics and Lipidomics Studies." BYU ScholarsArchive, 2015. https://scholarsarchive.byu.edu/etd/6161.

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Mass spectrometry has emerged as having a vital role in various applications to biochemical fields. In this thesis, we have utilized a variety of mass spectrometry techniques for both bacteriophage proteomics and colostrum and milk lipidomics studies. Our first study was the proteome characterization of Great Salt Lake bacteriophage NS01 with SDS-PAGE GEL to separate the viral proteins and high performance liquid chromatography (HPLC) coupled with an LTQ Orbitrap to identify the proteins after in-gel digestion. In this project, we have successfully identified 11 proteins with high confidence,
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Nagaraj, Nagarjuna. "Developing mass spectrometry towards applications in clinical proteomics." Diss., lmu, 2010. http://nbn-resolving.de/urn:nbn:de:bvb:19-134131.

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Gkanatsiou, Eleni. "Mass Spectrometry Based Proteomics : Toward understanding neuropathic pain." Thesis, Uppsala universitet, Analytisk kemi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-297658.

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The aim of this project was to get insight into mass spectrometry based proteomics, get familiarized with novel techniques, and obtain the operating skills with modern Orbitrap mass spectrometers. In order to achieve this, the proteome changes in neuropathic pain responses corresponding to nerve injury side in individual rat’s spinal cord were explored. We focused in protein identification and quantification of the expressed proteins in 3 different set of samples, SNL, Sham and Naive rats.
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Cudjoe, Emmanuel K. Jr. "Mass Spectrometry-Based Proteomics Analysis of Secreted Proteins." VCU Scholars Compass, 2018. https://scholarscompass.vcu.edu/etd/5571.

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Secreted proteins play important roles in many cellular functions and molecular processes. Because secreted proteins potentially enter the blood stream, they can serve as valuable measures of health and disease useful for disease diagnosis and prognosis, therapeutic target identification, and patient stratification in personalized medicine. Consequently, significant interest exists in secreted protein analysis within complex biospecimens, particularly blood but significant bioanalytical challenges including the wide protein dynamic range >10 orders of magnitude remain. The cellular secretome t
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Bromilow, Sophie. "Proteomics in 'free-from' foods." Thesis, University of Manchester, 2018. https://www.research.manchester.ac.uk/portal/en/theses/proteomics-in-afreefroma-foods(5793f2a1-9552-46e1-92b4-2fce7fadaa27).html.

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Wheat is the most agronomically important crop with an annual production of approximately 680 million tonnes per year over the five year period of 2008-2012 (Shewry and Tatham 2016). Wheat typically contributes about 20% of the total calorie intake in Western Europe and between 50-70% in some countries in North Africa and in West and Central Asia. It is estimated that in order to meet the continuous growing global demand wheat production needs to increase by 50% by 2050. Wheat is most commonly consumed as bread, pasta and noodles however it is also used as a food ingredient in other types of f
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Martin, Nicholas Joseph. "Surface analysis for proteomics via liquid extraction surface analysis mass spectrometry and liquid chromatography mass spectrometry." Thesis, University of Birmingham, 2016. http://etheses.bham.ac.uk//id/eprint/6493/.

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Liquid extraction surface analysis (LESA) is an ambient ionisation technique which allows direct analysis of surfaces coupled with mass spectrometry. LESA mass spectrometry has been used successfully to analyse small molecules, but there are a limited number of examples where the approach has been applied to protein analysis. The work presented here aims to develop novel applications of LESA mass spectrometry of proteins. LESA mass spectrometry was used to analyse intact proteins from polymeric membranes. The rationale for these experiments was the potential application to analyse proteins ele
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Müller, Lukas Niklaus. "Novel computational techniques for quantitative mass spectrometry based proteomics /." Zürich : ETH, 2008. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=17802.

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Thalassinos, Konstantinos. "Experimental and computational studies in mass spectrometry-based proteomics." Thesis, University of Warwick, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.429755.

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Books on the topic "Mass spectrometry proteomics in Ruby"

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Sechi, Salvatore, ed. Quantitative Proteomics by Mass Spectrometry. Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-255-7.

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Sechi, Salvatore, ed. Quantitative Proteomics by Mass Spectrometry. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3524-6.

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Shah, Haroun N., and Saheer E. Gharbia, eds. Mass Spectrometry for Microbial Proteomics. John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470665497.

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Salvatore, Sechi. Quantitative Proteomics by Mass Spectrometry. Humana Press, 2006. http://dx.doi.org/10.1385/1597452556.

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Matthiesen, Rune. Mass spectrometry data analysis in proteomics. Humana Press, 2013.

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Matthiesen, Rune, ed. Mass Spectrometry Data Analysis in Proteomics. Springer New York, 2020. http://dx.doi.org/10.1007/978-1-4939-9744-2.

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Matthiesen, Rune, ed. Mass Spectrometry Data Analysis in Proteomics. Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-392-3.

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Rune, Matthiesen. Mass Spectrometry Data Analysis in Proteomics. Humana Press, 2006. http://dx.doi.org/10.1385/1597452750.

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Protein mass spectrometry. Elsevier, 2009.

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Gross, Jürgen H. Mass Spectrometry: A Textbook. Springer-Verlag Berlin Heidelberg, 2011.

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Book chapters on the topic "Mass spectrometry proteomics in Ruby"

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Soler, Carla, Josep Rubert, and Jordi Mañes. "Mass Spectrometry Applications." In Proteomics in Foods. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-5626-1_5.

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Langen, Hanno, and Peter Berndt. "Proteomics Databases." In Proteome Research: Mass Spectrometry. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56895-4_12.

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Di Falco, Marcos Rafael. "Mass Spectrometry-Based Proteomics." In Methods in Molecular Biology. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7804-5_9.

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Roach, Lucy V., and Richard D. Elms. "Mass Spectrometry in Proteomics." In Encyclopedia of Biophysics. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-16712-6_218.

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Binz, Pierre-Alain. "Mass Spectrometry in Proteomics." In Genomics, Proteomics and Vaccines. John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470012536.ch6.

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Jonscher, Karen R., Lei Jin, John C. Cambier, Shaikh M. Rahman, and Jacob E. Friedman. "Targeted Proteomics Using Immunoaffinity Purification." In Mass Spectrometry Handbook. John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118180730.ch1.

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Linscheid, Michael W., Robert Ahrends, Stefan Pieper, and Andreas Kühn. "Liquid Chromatography–Mass Spectrometry-Based Quantitative Proteomics." In Proteomics. Humana Press, 2009. http://dx.doi.org/10.1007/978-1-60761-157-8_11.

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Tsai, Chia-Feng, Jeffrey S. Smith, Dylan S. Eiger, et al. "Mass Spectrometry-Based for Analysis of." In Shotgun Proteomics. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1178-4_16.

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Galan, Jacob, Anton Iliuk, and W. Andy Tao. "Quantitative Proteomics by Mass Spectrometry." In Protein and Peptide Mass Spectrometry in Drug Discovery. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118116555.ch4.

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Hines, Harry B. "Microbial Proteomics Using Mass Spectrometry." In Microbial Systems Biology. Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-827-6_7.

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Conference papers on the topic "Mass spectrometry proteomics in Ruby"

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Judson, Brenden, Garret McGrath, Elizabeth H. Peuchen, Matthew M. Champion, and Paul Brenner. "Cloud IaaS for Mass Spectrometry and Proteomics." In HPDC '17: The 26th International Symposium on High-Performance Parallel and Distributed Computing. ACM, 2017. http://dx.doi.org/10.1145/3086567.3086571.

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Lamprecht, Anna-Lena, Magnus Palmblad, Jon Ison, and Veit Schwammle. "Automated Composition of Scientific Workflows in Mass Spectrometry-Based Proteomics." In 2018 IEEE 14th International Conference on e-Science (e-Science). IEEE, 2018. http://dx.doi.org/10.1109/escience.2018.00098.

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Uhl, F., B. Zvarova, B. Ahlers, et al. "Characterization of decellularized COPD lung matrices using mass spectrometry proteomics." In ERS International Congress 2018 abstracts. European Respiratory Society, 2018. http://dx.doi.org/10.1183/13993003.congress-2018.lsc-1085.

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Dell, Anne, Mark Sutton-Smith, Simon J. North, et al. "ULTRA-HIGH SENSITIVITY MASS SPECTROMETRY IN GLYCOMICS AND GLYCO-PROTEOMICS." In XXIst International Carbohydrate Symposium 2002. TheScientificWorld Ltd, 2002. http://dx.doi.org/10.1100/tsw.2002.441.

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Allmer, Jens. "Relative protein quantitation with post translational modifications in mass spectrometry based proteomics." In 2010 5th International Symposium on Health Informatics and Bioinformatics. IEEE, 2010. http://dx.doi.org/10.1109/hibit.2010.5478886.

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Rapsomaniki, Maria Anna V., Panagiotis G. Zerefos, Konstantinos A. Theofilatos, Spiridon D. Likothanassis, Athanasios K. Tsakalidis, and Seferina P. Mavroudi. "A novel pipeline method for the preprocessing of Mass spectrometry proteomics data." In 2010 10th IEEE International Conference on Information Technology and Applications in Biomedicine (ITAB 2010). IEEE, 2010. http://dx.doi.org/10.1109/itab.2010.5687606.

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Yang, Chao, and Weichuan Yu. "A brief review of signal processing issues in mass spectrometry-based proteomics studies." In 2011 45th Asilomar Conference on Signals, Systems and Computers. IEEE, 2011. http://dx.doi.org/10.1109/acssc.2011.6190169.

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Dubois, Etienne, Antonio Nunez Galindo, Loic Dayon, and Ornella Cominetti. "Comparison of normalization methods in clinical research applications of mass spectrometry-based proteomics." In 2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE, 2020. http://dx.doi.org/10.1109/cibcb48159.2020.9277702.

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Aderogba, Samuel, J. Mark Meacham, F. Levent Degertekin, and Andrei G. Fedorov. "Micromachined Ultrasonic ElectroSpray Source Array for High Throughput Mass Spectrometry." In ASME 2004 3rd Integrated Nanosystems Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/nano2004-46086.

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According to the recent Laboratory News’ Proteomics Special article Mass Spectroscopy (MS) has become the technology of choice to meet today’s unprecedented demand for accurate bioanalytical measurements, including protein identification. Although MS can be used to analyze any biological sample, it must be first converted to gas-phase ions before it can be introduced into a mass spectrometer for analysis. It is transfer of a very small liquid sample (proteins are very expensive and often very difficult to produce in sizable quantities) into a gas-phase ions that is currently considered to be a
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He, Pinjie, and Kenli Li. "MIC-Tandem: Parallel X!Tandem Using MIC on Tandem Mass Spectrometry Based Proteomics Data." In 2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid). IEEE, 2015. http://dx.doi.org/10.1109/ccgrid.2015.31.

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Reports on the topic "Mass spectrometry proteomics in Ruby"

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Benner, William. CRADA Final Report: Mass Spectrometry for Proteomics. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/1157027.

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Frank, M. Single Cell Proteomics with Ultra-High Sensitivity Mass Spectrometry. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/15011526.

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