Academic literature on the topic 'Proteomics and metabolomics'

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Journal articles on the topic "Proteomics and metabolomics"

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Lambert, David G. "Proteomics and metabolomics." Anaesthesia & Intensive Care Medicine 11, no. 9 (2010): 372–73. http://dx.doi.org/10.1016/j.mpaic.2010.06.005.

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Lambert, David G. "Proteomics and metabolomics." Anaesthesia & Intensive Care Medicine 14, no. 4 (2013): 169–70. http://dx.doi.org/10.1016/j.mpaic.2013.02.007.

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Stubbs, Keith A., and David J. Vocadlo. "Affinity-Based Proteomics Probes; Tools for Studying Carbohydrate-Processing Enzymes." Australian Journal of Chemistry 62, no. 6 (2009): 521. http://dx.doi.org/10.1071/ch09140.

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As more information becomes available through the efforts of high-throughput screens, there is increasing pressure on the three main ‘omic’ fields, genomics, proteomics, and metabolomics, to organize this material into useful libraries that enable further understanding of biological systems. Proteomics especially is faced with two highly challenging tasks. The first is assigning the activity of thousands of putative proteins, the existence of which has been suggested by genomics studies. The second is to serve as a link between genomics and metabolomics by demonstrating which enzymes play role
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Wu, Xinghong, and Chongge You. "The biomarkers discovery of hyperuricemia and gout: proteomics and metabolomics." PeerJ 11 (January 6, 2022): e14554. http://dx.doi.org/10.7717/peerj.14554.

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Background Hyperuricemia and gout are a group of disorders of purine metabolism. In recent years, the incidence of hyperuricemia and gout has been increasing, which is a severe threat to people’s health. Several studies on hyperuricemia and gout in proteomics and metabolomics have been conducted recently. Some literature has identified biomarkers that distinguish asymptomatic hyperuricemia from acute gout or remission of gout. We summarize the physiological processes in which these biomarkers may be involved and their role in disease progression. Methodology We used professional databases incl
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Lin, Chuwei, Aneirin Alan Lott, Wei Zhu, Craig P. Dufresne, and Sixue Chen. "Mitogen-Activated Protein Kinase 4-Regulated Metabolic Networks." International Journal of Molecular Sciences 23, no. 2 (2022): 880. http://dx.doi.org/10.3390/ijms23020880.

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Mitogen-activated protein kinase 4 (MPK4) was first identified as a negative regulator of systemic acquired resistance. It is also an important kinase involved in many other biological processes in plants, including cytokinesis, reproduction, and photosynthesis. Arabidopsis thaliana mpk4 mutant is dwarf and sterile. Previous omics studies including genomics, transcriptomics, and proteomics have revealed new functions of MPK4 in different biological processes. However, due to challenges in metabolomics, no study has touched upon the metabolomic profiles of the mpk4 mutant. What metabolites and
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Song, Tao, Ying Zhu, Peng Zhang, et al. "Integrated Proteomics and Metabolomic Analyses of Plasma Injury Biomarkers in a Serious Brain Trauma Model in Rats." International Journal of Molecular Sciences 20, no. 4 (2019): 922. http://dx.doi.org/10.3390/ijms20040922.

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Diffuse axonal injury (DAI) is a prevalent and serious brain injury with significant morbidity and disability. However, the underlying pathogenesis of DAI remains largely unclear, and there are still no objective laboratory-based tests available for clinicians to make an early diagnosis of DAI. An integrated analysis of metabolomic data and proteomic data may be useful to identify all of the molecular mechanisms of DAI and novel potential biomarkers. Therefore, we established a rat model of DAI, and applied an integrated UPLC-Q-TOF/MS-based metabolomics and isobaric tag for relative and absolu
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Perkel, Jeffrey M. "Metabolomics, transcriptomics, proteomics, oh my!" Journal of Proteome Research 7, no. 3 (2008): 839. http://dx.doi.org/10.1021/pr083707+.

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Hoffman, Jessica M., Yang Lyu, Scott D. Pletcher, and Daniel E. L. Promislow. "Proteomics and metabolomics in ageing research: from biomarkers to systems biology." Essays in Biochemistry 61, no. 3 (2017): 379–88. http://dx.doi.org/10.1042/ebc20160083.

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Age is the single greatest risk factor for a wide range of diseases, and as the mean age of human populations grows steadily older, the impact of this risk factor grows as well. Laboratory studies on the basic biology of ageing have shed light on numerous genetic pathways that have strong effects on lifespan. However, we still do not know the degree to which the pathways that affect ageing in the lab also influence variation in rates of ageing and age-related disease in human populations. Similarly, despite considerable effort, we have yet to identify reliable and reproducible ‘biomarkers’, wh
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Govorov, Igor, Stanislav Sitkin, Tatyana Pervunina, Alexey Moskvin, Denis Baranenko, and Eduard Komlichenko. "Metabolomic Biomarkers in Gynecology: A Treasure Path or a False Path?" Current Medicinal Chemistry 27, no. 22 (2020): 3611–22. http://dx.doi.org/10.2174/0929867326666190104124245.

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Omic-technologies (genomics, transcriptomics, proteomics and metabolomics) have become more important in current medical science. Among them, it is metabolomics that most accurately reflects the minor changes in body functioning, as it focuses on metabolome – the group of the metabolism products, both intermediate and end. Therefore, metabolomics is actively engaged in fundamental and clinical studies and search for potential biomarkers. The biomarker could be used in diagnostics, management and stratification of the patients, as well as in prognosing the outcomes. The good example is gynecolo
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Yates, John R. "Rising Stars in Proteomics and Metabolomics." Journal of Proteome Research 20, no. 2 (2021): 1105–6. http://dx.doi.org/10.1021/acs.jproteome.0c01026.

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Dissertations / Theses on the topic "Proteomics and metabolomics"

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Shiryaeva, Liudmila. "Proteomics and metabolomics in biological and medical applications." Doctoral thesis, Umeå universitet, Kemiska institutionen, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-43520.

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Biological processes in living organisms consist of a vast number of different molecular networks and interactions, which are complex and often hidden from our understanding. This work is focused on recovery of such details for two quite distant examples: acclimation to extreme freezing tolerance in Siberian spruce (Picea obovata) and detection of proteins associated with prostate cancer. The first biological system in the study, upon P. obovata, is interesting by this species ability to adapt and sustain extremely low temperatures, such as -60⁰C or below. Despite decades of investigations, th
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Salji, Mark J. "Quantitative proteomics and metabolomics of castration resistant prostate cancer." Thesis, University of Glasgow, 2018. http://theses.gla.ac.uk/30941/.

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Henneges, Carsten [Verfasser]. "Feature Selection and Data Mining for Proteomics and Metabolomics / Carsten Henneges." München : Verlag Dr. Hut, 2011. http://d-nb.info/1017353573/34.

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Mörén, Lina. "Metabolomics and proteomics studies of brain tumors : a chemometric bioinformatics approach." Doctoral thesis, Umeå universitet, Kemiska institutionen, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-111309.

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The WHO classification of brain tumors is based on histological features and the aggressiveness of the tumor is classified from grade I to IV, where grade IV is the most aggressive. Today, the correlation between prognosis and tumor grade is the most important component in tumor classification. High grade gliomas, glioblastomas, are associated with poor prognosis and a median survival of 14 months including all available treatments. Low grade meningiomas, usually benign grade I tumors, are in most cases cured by surgical resection. However despite their benign appearance grade I meningiomas ca
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Thomas, Funmilola Clara. "Acute phase proteins, proteomics and metabolomics in the diagnosis of bovine mastitis." Thesis, University of Glasgow, 2015. http://theses.gla.ac.uk/6360/.

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Bovine mastitis continues to pose a major economic challenge to the dairy industry worldwide. Critical to the management and control of this condition, is the need for prompt and accurate diagnosis in field conditions, therefore a search for more sensitive and reliable biomarkers is required. In this thesis, studies focused on assessing milk samples from cows with various forms of mastitis were undertaken with a view to identifying new biomarkers for bovine mastitis. Three acute phase proteins (APP); haptoglobin (Hp), mammary associated serum amyloid A3 (M-SAA3) and C-reactive protein (CRP) we
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Wibom, Carl. "Multivariate analyses of proteomic and metabolomic patterns in brain tumors." Doctoral thesis, Umeå universitet, Onkologi, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-25670.

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Glioblastoma multiforme (GBM) is the most common primary brain tumor. Given the current standard of care, the prognosis for patients diagnosed with this disease is still poor. There consequently exists a need to improve current treatments, as well as to develop new ones. Many obstacles however need to be overcome to facilitate this effort and one of these involves the development of improved methods to monitor treatment effects. At present, the effects of treatment are typically assessed by radiological means several months after its initiation, which is unsatisfactory for a fast growing tumor
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Hollywood, Katherine. "The development of bio-analytical techniques for the treatment of psoriasis and related skin disorders." Thesis, University of Manchester, 2010. https://www.research.manchester.ac.uk/portal/en/theses/the-development-of-bioanalytical-techniques-for-the-treatment-of-psoriasis-and-related-skin-disorders(eadbfad8-6ab0-4029-b618-a1a6d715c3af).html.

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In this investigation a number of post-genomic technologies have be applied to study the dermatological disorders of psoriasis and keloid disease. In spite of considerable research focus on these diseases the pathogenesis remains unclear and currently no cure is available however, both diseases are manageable by drug intervention. It is common place that patients who are suffering from skin disorders are diagnosed and the extent of the disease assessed by a dermatologist which may be subjective due to human error. The availability and application of methods to screen patients and quantify the
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Pervukhin, Anton. "Molecular formula identification using high resolution mass spectrometry algorithms and applications in metabolomics and proteomics /." kostenfrei, 2009. http://d-nb.info/1001408578/34.

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Mußotter, Franz [Verfasser]. "Application of proteomics and metabolomics in molecular investigations of sensitization to contact allergens / Franz Mußotter." Berlin : Freie Universität Berlin, 2018. http://d-nb.info/1159900582/34.

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Hadrévi, Jenny. "Applying proteomics and metabolomics for studying human skeletal muscle with a focus on chronic trapezius myalgia." Doctoral thesis, Umeå universitet, Institutionen för integrativ medicinsk biologi (IMB), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-61399.

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Work related musculoskeletal disorders are the dominating causes of reported ill-health in industrialized countries. These chronic pain conditions are one of the most costly public health problems in Europe and North America. When work related musculoskeletal disorders are considered to be of muscular origin and the trapezius muscle is affected, the common appellation is trapezius myalgia. Since little is known about the genesis or how it is maintained, it is of great importance to better understand the pathophysiology of trapezius myalgia; doing so will better enable recommendations for preve
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Books on the topic "Proteomics and metabolomics"

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Arjmand, Babak, ed. Genomics, Proteomics, and Metabolomics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27727-7.

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Martins-de-Souza, Daniel. Proteomics and metabolomics in psychiatry. Karger, 2014.

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Winkler, Robert, ed. Processing Metabolomics and Proteomics Data with Open Software. Royal Society of Chemistry, 2020. http://dx.doi.org/10.1039/9781788019880.

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Bagchi, Debasis. Genomics, proteomics, and metabolomics in nutraceuticals and functional foods. Wiley-Blackwell, 2010.

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Bagchi, Debasis, Anand Swaroop, and Manashi Bagchi. Genomics, proteomics and metabolomics in nutraceuticals and functional foods. John Wiley & Sons, Inc., 2015.

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Debasis, Bagchi, Lau Francis, and Bagchi Manashi, eds. Genomics, proteomics, and metabolomics in nutraceuticals and functional foods. Wiley-Blackwell, 2010.

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Bagchi, Debasis, Francis C. Lau, and Manashi Bagchi, eds. Genomics, Proteomics, and Metabolomics in Nutraceuticals and Functional Foods. Wiley-Blackwell, 2010. http://dx.doi.org/10.1002/9780813821474.

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Bagchi, Debasis, Anand Swaroop, and Manashi Bagchi, eds. Genomics, Proteomics and Metabolomics in Nutraceuticals and Functional Foods. John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118930458.

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Datta, Susmita, and Bart J. A. Mertens, eds. Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-45809-0.

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Sensen, C. W. Handbook of genome research: Genomics, proteomics, metabolomics, bioinformatics, ethical, and legal issues. Wiley-VCH, 2005.

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Book chapters on the topic "Proteomics and metabolomics"

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Selvam, Manesh Kumar Panner, Damayanthi Durairajanayagam, and Ashok Agarwal. "Proteomics and Metabolomics." In In Vitro Fertilization. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-43011-9_43.

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Neale, David B., and Nicholas C. Wheeler. "Proteomics and Metabolomics." In The Conifers: Genomes, Variation and Evolution. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-46807-5_7.

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Semba, Richard D., and Marta Gonzalez-Freire. "Metabolomics and Proteomics." In The Biology of the First 1,000 Days. CRC Press, 2017. http://dx.doi.org/10.1201/9781315152950-30.

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Heidari-Keshel, Saeed, Mostafa Rezaei-Tavirani, Azam Rahimi, Farshid Sefat, and Arash Khojasteh. "Proteomics Approaches Applied to Regenerative Medicine: Perspectives in Stem Cell Proteomics." In Genomics, Proteomics, and Metabolomics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27727-7_6.

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Wienkoop, Stefanie, and Christiana Staudinger. "Mass Spectrometry, Proteomics, and Metabolomics." In Encyclopedia of Systems Biology. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_1152.

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Khatami, Fatemeh, Seyed Mohammad Tavangar, and Navaz Karimian Pour. "Genomics, Proteomics, and Metabolomics of Cancer Stem Cells (CSCs)." In Genomics, Proteomics, and Metabolomics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27727-7_9.

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Falahzadeh, Khadijeh, Masumeh Jalalvand, Sepideh Alavi-Moghadam, Nikoo Bana, and Babak Negahdari. "Trying to Reveal the Mysteries of Stem Cells Using “Omics” Strategies." In Genomics, Proteomics, and Metabolomics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27727-7_1.

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Afshar, Leila. "From OMICs to Ethics: Points to Start the Debate." In Genomics, Proteomics, and Metabolomics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27727-7_10.

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Heidari-Keshel, Saeed, Azam Rahimi, Mostafa Rezaei-Tavirani, Farshid Sefat, and Arash Khojasteh. "Genomics, Proteomics, and Metabolomics for Stem Cells Monitoring in Regenerative Medicine." In Genomics, Proteomics, and Metabolomics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27727-7_2.

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Gilany, Kambiz, Mohammad Javad Masroor, Arash Minai-Tehrani, Ahmad Mani-Varnosfaderani, and Babak Arjmand. "Metabolic Profiling of the Mesenchymal Stem Cells’ Secretome." In Genomics, Proteomics, and Metabolomics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27727-7_3.

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Conference papers on the topic "Proteomics and metabolomics"

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MacKay, Scott, and Jie Chen. "Biosensor systems and applications in genomics, proteomics and metabolomics: A review." In 2014 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2014. http://dx.doi.org/10.1109/iscas.2014.6865104.

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Barsch, Aiko, Frederik Walter, Marcus Persicke, et al. "Increasing arginine production in Corynebacterium glutamicum by rational strain design in combination with metabolomics and proteomics." In The 1st International Electronic Conference on Metabolomics. MDPI, 2016. http://dx.doi.org/10.3390/iecm-1-b001.

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Rennefahrt, Ulrike, Hellmuth-A. Meyer, Beate Kamlage, et al. "Abstract 1415: Prostate cancer: An integrated evaluation of metabolomics, transcriptomics, and proteomics expression data." In Proceedings: AACR Annual Meeting 2014; April 5-9, 2014; San Diego, CA. American Association for Cancer Research, 2014. http://dx.doi.org/10.1158/1538-7445.am2014-1415.

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Phelix, Clyde F., and Jason L. Dugan. "Integrating information on genomics, transcriptomics, proteomics, and metabolomics into biosimulations for individualized personalized medicine." In 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE, 2016. http://dx.doi.org/10.1109/bhi.2016.7455897.

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Heath, James R. "Abstract IA07: Single cell functional proteomics and metabolomics: A conduit to physicochemical models of tumor biology." In Abstracts: AACR Special Conference: Engineering and Physical Sciences in Oncology; June 25-28, 2016; Boston, MA. American Association for Cancer Research, 2017. http://dx.doi.org/10.1158/1538-7445.epso16-ia07.

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Kiiskila, Jeffrey D., Dibyendu Sarkar, Dibyendu Sarkar, Rupali Datta, and Rupali Datta. "DIFFERENTIAL PROTEOMICS AND METABOLOMICS OF SHOOTS OF VETIVER GRASS (CHRYSOPOGON ZIZANIOIDES) USED TO TREAT ACID MINE DRAINAGE." In GSA 2020 Connects Online. Geological Society of America, 2020. http://dx.doi.org/10.1130/abs/2020am-358217.

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Evers, Bernardus, Albert Gerding, Jiske Tiersma, et al. "Abstract PO-039: Combined in vivo13C-metabolomics and proteomics approach to optimise immunotherapy response in malignant melanoma." In Abstracts: AACR Special Virtual Conference on Epigenetics and Metabolism; October 15-16, 2020. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7445.epimetab20-po-039.

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Stewart, Paul A., Jiannong Li, Kate J. Fisher, et al. "Abstract 3752: Integrating proteomics and metabolomics characterizes active pathways and potential drug targets in small cell lung cancer." In Proceedings: AACR 106th Annual Meeting 2015; April 18-22, 2015; Philadelphia, PA. American Association for Cancer Research, 2015. http://dx.doi.org/10.1158/1538-7445.am2015-3752.

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WEBB-ROBERTSON, BOBBIE-JO M., LEE ANN MCCUE, NATHANIAL BEAGLEY, et al. "A BAYESIAN INTEGRATION MODEL OF HIGH-THROUGHPUT PROTEOMICS AND METABOLOMICS DATA FOR IMPROVED EARLY DETECTION OF MICROBIAL INFECTIONS." In Proceedings of the Pacific Symposium. WORLD SCIENTIFIC, 2008. http://dx.doi.org/10.1142/9789812836939_0042.

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Singh, Shivendra V., Eun-Ryeong Hahm, Joomin Lee, Su-Hyeong Kim, Anuradha Sehrawat, and Julie A. Arlotti. "Abstract 3714: Metabolomics and proteomics reveal inhibition of glycolysis in withaferin A-mediated prevention of mammary carcinogenesis in MMTV-neu mice." In Proceedings: AACR 104th Annual Meeting 2013; Apr 6-10, 2013; Washington, DC. American Association for Cancer Research, 2013. http://dx.doi.org/10.1158/1538-7445.am2013-3714.

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Reports on the topic "Proteomics and metabolomics"

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Rabinowitz, Joshua D. Final Technical Report--Quantitative analysis of metabolic regulation by integration of metabolomics, proteomics, and fluxomics. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1487155.

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