Добірка наукової літератури з теми "Blood transcriptomics"
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Статті в журналах з теми "Blood transcriptomics"
Chen-Plotkin, Alice S. "Blood transcriptomics for Parkinson disease?" Nature Reviews Neurology 14, no. 1 (December 1, 2017): 5–6. http://dx.doi.org/10.1038/nrneurol.2017.166.
Повний текст джерелаRonza, Paolo, José Antonio Álvarez-Dios, Diego Robledo, Ana Paula Losada, Roberto Romero, Roberto Bermúdez, Belén G. Pardo, Paulino Martínez, and María Isabel Quiroga. "Blood Transcriptomics of Turbot Scophthalmus maximus: A Tool for Health Monitoring and Disease Studies." Animals 11, no. 5 (April 30, 2021): 1296. http://dx.doi.org/10.3390/ani11051296.
Повний текст джерелаStaratschek-Jox, Andrea, Sabine Classen, Andrea Gaarz, Svenja Debey-Pascher, and Joachim L. Schultze. "Blood-based transcriptomics: leukemias and beyond." Expert Review of Molecular Diagnostics 9, no. 3 (April 2009): 271–80. http://dx.doi.org/10.1586/erm.09.9.
Повний текст джерелаZhou, Jie, Bing Liu, and Yu Lan. "When blood development meets single-cell transcriptomics." Blood Science 1, no. 1 (August 2019): 65–68. http://dx.doi.org/10.1097/bs9.0000000000000007.
Повний текст джерелаLi, Shuzhao, Andrei Todor, and Ruiyan Luo. "Blood transcriptomics and metabolomics for personalized medicine." Computational and Structural Biotechnology Journal 14 (2016): 1–7. http://dx.doi.org/10.1016/j.csbj.2015.10.005.
Повний текст джерелаWilliams, Cameron Gerard, Jessica A. Engel, Megan S. F. Soon, Evan Murray, Fei Chen, and Ashraful Haque. "Studying lymphocyte differentiation in the spleen via spatial transcriptomics." Journal of Immunology 206, no. 1_Supplement (May 1, 2021): 98.55. http://dx.doi.org/10.4049/jimmunol.206.supp.98.55.
Повний текст джерелаDong, Ruochen, Jonathon Russell, Seth Malloy, Kate Hall, Sarah E. Smith, Hua Li, Yongfu Wang, et al. "Using Spatial Transcriptomics to Reveal Fetal Liver Hematopoietic Stem Cell-Niche Interactions." Blood 138, Supplement 1 (November 5, 2021): 3284. http://dx.doi.org/10.1182/blood-2021-153748.
Повний текст джерелаPantaleo, Ester, Alfonso Monaco, Nicola Amoroso, Angela Lombardi, Loredana Bellantuono, Daniele Urso, Claudio Lo Lo Giudice, et al. "A Machine Learning Approach to Parkinson’s Disease Blood Transcriptomics." Genes 13, no. 5 (April 21, 2022): 727. http://dx.doi.org/10.3390/genes13050727.
Повний текст джерелаGRIGORYEV, D., T. WATKINS, L. GAO, A. GRANT, M. STOCKTONPORTER, H. WATSON, R. MATHIAS, M. GITTENS, C. CHEADLE, and K. BARNES. "Transcriptomics of Peripheral Blood from Asthmatics Living in Barbados." Journal of Allergy and Clinical Immunology 121, no. 2 (February 2008): S259. http://dx.doi.org/10.1016/j.jaci.2007.12.1027.
Повний текст джерелаBlanchard, E. M., S. Domhan, L. Ma, C. Schwager, S. Ambika, L. A. Martin, J. Debus, P. J. Hesketh, L. Hlatky, and A. Abdollahi. "Peripheral blood transcriptomics-based molecular predictors of breast cancer." Journal of Clinical Oncology 28, no. 15_suppl (May 20, 2010): e21018-e21018. http://dx.doi.org/10.1200/jco.2010.28.15_suppl.e21018.
Повний текст джерелаДисертації з теми "Blood transcriptomics"
Krishnan, Unni. "Novel coronary atherothrombosis genes identified by blood cell transcriptomics." Thesis, University of Leicester, 2013. http://hdl.handle.net/2381/28136.
Повний текст джерелаMarin, Sergio. "An examination of peripheral blood to reflect transcriptomic adaptation to physical exercise training in sedentary men compared with sex-matched athletic phenotypes." Thesis, Federation University Australia, 2021. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/182594.
Повний текст джерелаDoctor of Philosophy
Stöber, Regina [Verfasser], Jan Georg [Akademischer Betreuer] Hengstler, and Frank [Gutachter] Wehner. "Transcriptomics-based prediction of human hepatotoxic blood concentrations of chemicals / Regina Stöber. Betreuer: Jan Georg Hengstler. Gutachter: Frank Wehner." Dortmund : Universitätsbibliothek Dortmund, 2016. http://d-nb.info/1112347623/34.
Повний текст джерелаLansink, Lianne Ida Maria. "Blood-stage Plasmodium parasite control by antibody-mediated inhibition and impaired maturation in response to host inflammation in vivo." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/228523/1/Lianne%20Ida%20Maria_Lansink_Thesis.pdf.
Повний текст джерелаBoileau, Adeline. "Biomarqueurs transcriptomiques sanguins des maladies cardiovasculaires." Thesis, Université de Lorraine, 2018. http://www.theses.fr/2018LORR0186/document.
Повний текст джерелаCardiovascular disease (CVD) is the main cause of mortality in the World and in Europe. Diagnosis and prediction of outcome of CVD currently rely on the use of protein biomarkers, but should be improved to optimize patient healthcare. Blood transcriptome contains all RNA molecules present in blood cells and in the acellular compartment. Among them, messenger RNA (mRNA) code for proteins whereas small non coding RNA, microRNA (miRNA), have a regulatory function by repressing the expression of their target genes. We hypothesized that blood transcriptome, mRNA and miRNA in particular, had a potential as biomarker, diagnostic or prognostic, in CVD. In a first study, we showed that endogenous heparin could lead to an inhibition of reverse transcription and quantitative PCR reaction used to measure miRNAs expressed in the blood, and that this parameter should be considered for studies on blood transcriptome. Secondly, we showed that 3 transcripts (coding for genes LMNB1, LTBP4, TGFBR1) expressed in whole blood, were independent predictors of cardiac function alteration at 4 months post-MI. Furthermore, the inclusion of these 3 transcripts in a prediction model containing clinical variables had an incremental predictive value. In a third study, we showed that circulating levels of miR-574-5p were able to discriminate patients with TAA from healthy controls. Furthermore, miR-574-5p was encapsulated in extracellular vesicles in the blood, suggesting a paracrine role. In the fourth and fifth studies, we showed that circulating levels of miR-122-5p were independent predictors of neurological outcome and survival at middle term post-CA, and were able to increase the prediction value of existing models. We also identified miR-574-5p as an independent predictor of neurological outcome post-CA, specifically in women. To conclude, this work allowed the discovery or the confirmation of the potential biomarker value of transcripts and miRNAs in different CVD. However, their biomarker value should be validated in other large scale studies and with other methods of measurement before foreseeing their clinical utilization
Mok, Bobo. "Genomic and transcriptomic variation in blood stage Plasmodium falciparum /." Stockholm : Karolinska institutet, 2007. http://diss.kib.ki.se/2007/978-91-7357-291-0/.
Повний текст джерелаBraga, D. "TRANSCRIPTOMIC ANALYSIS IN SEPTIC SHOCK PATIENTS." Doctoral thesis, Università degli Studi di Milano, 2017. http://hdl.handle.net/2434/473670.
Повний текст джерелаBallantine, Lucy Elizabeth. "Transcriptomic analysis of peripheral blood monocytes and synovial macrophages in inflammatory arthritis." Thesis, University of Glasgow, 2011. http://theses.gla.ac.uk/2825/.
Повний текст джерелаEckold, C. "The effects of co-morbidities on blood transcriptomes in tuberculosis patients before and during treatment." Thesis, London School of Hygiene and Tropical Medicine (University of London), 2018. http://researchonline.lshtm.ac.uk/4648205/.
Повний текст джерелаAmnebrink, Dennis. "Transcriptomic profiling of marine bacteria between development and senescence phases of a phytoplankton bloom." Thesis, Linnéuniversitetet, Institutionen för biologi och miljö (BOM), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-79200.
Повний текст джерелаЧастини книг з теми "Blood transcriptomics"
Warnat-Herresthal, Stefanie, Marie Oestreich, Joachim L. Schultze, and Matthias Becker. "Artificial Intelligence in Blood Transcriptomics." In Artificial Intelligence in Medicine, 1109–23. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-64573-1_262.
Повний текст джерелаParnell, Grant P., and David R. Booth. "Whole Blood Transcriptomic Analysis to Identify Clinical Biomarkers of Drug Response." In Methods in Molecular Biology, 35–43. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0956-8_3.
Повний текст джерелаSolomon, Brad, and Carl Kingsford. "Improved Search of Large Transcriptomic Sequencing Databases Using Split Sequence Bloom Trees." In Lecture Notes in Computer Science, 257–71. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56970-3_16.
Повний текст джерелаFarid, A. H., S. S. Moore, and U. Basu. "The assembly of the mink blood transcriptoms generated by the next generation sequencing using the dog genome." In Proceedings of the Xth International Scientific Congress in fur animal production, 490. Wageningen: Wageningen Academic Publishers, 2012. http://dx.doi.org/10.3920/978-90-8686-760-8_80.
Повний текст джерелаRinchai, Darawan, Davide Bedognetti, and Darawan Chaussabel. "Blood Transcriptomic Approaches to Cancer Immunotherapy." In Cancer Immunotherapy Principles and Practice. 2nd ed. New York, NY: Springer Publishing Company, 2021. http://dx.doi.org/10.1891/9780826137432.0043.
Повний текст джерелаRockett, John. "Blood-Derived Transcriptomic Profiles as a Means to Monitor Levels of Toxicant Exposure and the Effects of Toxicants on Inaccessible Target Tissues." In Surrogate Tissue Analysis, 65–76. Informa Healthcare, 2005. http://dx.doi.org/10.1201/9781420038095.ch5.
Повний текст джерелаNahar, Jesmin, Kevin S. Tickle, and A. B. M. Shawkat Ali. "Pattern Discovery from Biological Data." In Dynamic and Advanced Data Mining for Progressing Technological Development, 168–223. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-908-3.ch009.
Повний текст джерелаNahar, Jesmin, Kevin S. Tickle, and A. B. M. Shawkat Ali. "Pattern Discovery from Biological Data." In Machine Learning, 724–68. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-818-7.ch403.
Повний текст джерелаТези доповідей конференцій з теми "Blood transcriptomics"
Todorova, VK, ML Beggs, IB Dhakal, LJ Hennings, I. Makhoul, and VS Klimberg. "P5-20-05: Peripheral Blood Transcriptomics and Doxorubicin Cardiotoxicity." In Abstracts: Thirty-Fourth Annual CTRC‐AACR San Antonio Breast Cancer Symposium‐‐ Dec 6‐10, 2011; San Antonio, TX. American Association for Cancer Research, 2011. http://dx.doi.org/10.1158/0008-5472.sabcs11-p5-20-05.
Повний текст джерелаCesaroni, Matteo, Jessica Schreiter, Loqmane Seridi, Jarrat Jordan, Marc Chevrier, Nando Bansal, Theresa Pattery, and Jorge Villacian. "AB0499 FINGERSTICK BLOOD TRANSCRIPTOMICS: A PATIENT-CENTRIC APPROACH TO ENABLE PRECISION MEDICINE?" In Annual European Congress of Rheumatology, EULAR 2019, Madrid, 12–15 June 2019. BMJ Publishing Group Ltd and European League Against Rheumatism, 2019. http://dx.doi.org/10.1136/annrheumdis-2019-eular.4834.
Повний текст джерелаGrigoryev, Dmitry N., Stephen C. Mathai, Tonya Watkins, Chris Cheadle, Laura Hummers, Fredrick M. Wigley, Roger A. Johns, Kathleen C. Barnes, and Paul M. Hassoun. "Effect Of Pulmonary Arterial Hypertension On Transcriptomics Of Peripheral Blood Mononuclear Cells." In American Thoracic Society 2010 International Conference, May 14-19, 2010 • New Orleans. American Thoracic Society, 2010. http://dx.doi.org/10.1164/ajrccm-conference.2010.181.1_meetingabstracts.a4878.
Повний текст джерелаJiang, Y., O. Gruzieva, T. Wang, E. Forno, N. Boutaoui, T. Sun, E. Acosta-Pérez, et al. "Transcriptomics of Atopy and Atopic Asthma in White Blood Cells from Children and Adolescents." In American Thoracic Society 2019 International Conference, May 17-22, 2019 - Dallas, TX. American Thoracic Society, 2019. http://dx.doi.org/10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a1058.
Повний текст джерелаFaner Canet, Maria Rosa, Jarrett Morrow, Guillaume Noell, Alejandra Lopez-Giraldo, Tamara Cruz, Ruth Tal-Singer, Bruce E. Miller, et al. "LATE-BREAKING ABSTRACT: Network-based meta-analysis of lung, sputum and blood transcriptomics in COPD." In ERS International Congress 2016 abstracts. European Respiratory Society, 2016. http://dx.doi.org/10.1183/13993003.congress-2016.oa1776.
Повний текст джерелаLu, R., R. Suryadevara, Z. Xu, D. Jain, A. Gregory, B. D. Hobbs, N. Lichtblau, et al. "Comparison of Lung and Blood Transcriptomics Reveals Shared Emphysema-Associated Pathways and Alternatively Spliced Genes." In American Thoracic Society 2022 International Conference, May 13-18, 2022 - San Francisco, CA. American Thoracic Society, 2022. http://dx.doi.org/10.1164/ajrccm-conference.2022.205.1_meetingabstracts.a3479.
Повний текст джерелаSingh, Dave, John H. Riley, Steve Fox, Ruth Tal-Singer, Hana Muellerova, and Bartolome Celli. "Prediction Of A COPD Exacerbation Phenotype Using Blood Transcriptomic Markers." In American Thoracic Society 2011 International Conference, May 13-18, 2011 • Denver Colorado. American Thoracic Society, 2011. http://dx.doi.org/10.1164/ajrccm-conference.2011.183.1_meetingabstracts.a2254.
Повний текст джерелаNikolopoulos, D., A. Filia, K. Katsiki, T. Manolakou, A. Pieta, N. Kapsala, G. Bertsias, A. Fanouriakis, and D. Boumpas. "PO.1.8 Distinct transcriptomic signature of peripheral blood in neuropsychiatric lupus." In 13th European Lupus Meeting, Stockholm (October 5–8, 2022). Lupus Foundation of America, 2022. http://dx.doi.org/10.1136/lupus-2022-elm2022.42.
Повний текст джерелаZeng, C., G. C. Motta Ribeiro, T. Hinoshita, M. A. Lessa, C. Kosour, K. Grogg, J. Hutchinson, R. M. Baron, T. Winkler, and M. F. Vidal Melo. "One-Lung Ventilation Causes Blood Transcriptomic Changes in Intact and Endotoxemic Sheep." In American Thoracic Society 2020 International Conference, May 15-20, 2020 - Philadelphia, PA. American Thoracic Society, 2020. http://dx.doi.org/10.1164/ajrccm-conference.2020.201.1_meetingabstracts.a4104.
Повний текст джерелаCastaldi, P. "Blood Transcriptomic and Proteomic Biomarkers of Electronic Nicotine Delivery Systems Use in the COPDGene Study." In American Thoracic Society 2021 International Conference, May 14-19, 2021 - San Diego, CA. American Thoracic Society, 2021. http://dx.doi.org/10.1164/ajrccm-conference.2021.203.1_meetingabstracts.a3097.
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