Literatura académica sobre el tema "Blood transcriptomics"
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Artículos de revistas sobre el tema "Blood transcriptomics"
Chen-Plotkin, Alice S. "Blood transcriptomics for Parkinson disease?" Nature Reviews Neurology 14, n.º 1 (1 de diciembre de 2017): 5–6. http://dx.doi.org/10.1038/nrneurol.2017.166.
Texto completoRonza, Paolo, José Antonio Álvarez-Dios, Diego Robledo, Ana Paula Losada, Roberto Romero, Roberto Bermúdez, Belén G. Pardo, Paulino Martínez y María Isabel Quiroga. "Blood Transcriptomics of Turbot Scophthalmus maximus: A Tool for Health Monitoring and Disease Studies". Animals 11, n.º 5 (30 de abril de 2021): 1296. http://dx.doi.org/10.3390/ani11051296.
Texto completoStaratschek-Jox, Andrea, Sabine Classen, Andrea Gaarz, Svenja Debey-Pascher y Joachim L. Schultze. "Blood-based transcriptomics: leukemias and beyond". Expert Review of Molecular Diagnostics 9, n.º 3 (abril de 2009): 271–80. http://dx.doi.org/10.1586/erm.09.9.
Texto completoZhou, Jie, Bing Liu y Yu Lan. "When blood development meets single-cell transcriptomics". Blood Science 1, n.º 1 (agosto de 2019): 65–68. http://dx.doi.org/10.1097/bs9.0000000000000007.
Texto completoLi, Shuzhao, Andrei Todor y 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.
Texto completoWilliams, Cameron Gerard, Jessica A. Engel, Megan S. F. Soon, Evan Murray, Fei Chen y Ashraful Haque. "Studying lymphocyte differentiation in the spleen via spatial transcriptomics". Journal of Immunology 206, n.º 1_Supplement (1 de mayo de 2021): 98.55. http://dx.doi.org/10.4049/jimmunol.206.supp.98.55.
Texto completoDong, 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 (5 de noviembre de 2021): 3284. http://dx.doi.org/10.1182/blood-2021-153748.
Texto completoPantaleo, 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, n.º 5 (21 de abril de 2022): 727. http://dx.doi.org/10.3390/genes13050727.
Texto completoGRIGORYEV, D., T. WATKINS, L. GAO, A. GRANT, M. STOCKTONPORTER, H. WATSON, R. MATHIAS, M. GITTENS, C. CHEADLE y K. BARNES. "Transcriptomics of Peripheral Blood from Asthmatics Living in Barbados". Journal of Allergy and Clinical Immunology 121, n.º 2 (febrero de 2008): S259. http://dx.doi.org/10.1016/j.jaci.2007.12.1027.
Texto completoBlanchard, E. M., S. Domhan, L. Ma, C. Schwager, S. Ambika, L. A. Martin, J. Debus, P. J. Hesketh, L. Hlatky y A. Abdollahi. "Peripheral blood transcriptomics-based molecular predictors of breast cancer." Journal of Clinical Oncology 28, n.º 15_suppl (20 de mayo de 2010): e21018-e21018. http://dx.doi.org/10.1200/jco.2010.28.15_suppl.e21018.
Texto completoTesis sobre el tema "Blood transcriptomics"
Krishnan, Unni. "Novel coronary atherothrombosis genes identified by blood cell transcriptomics". Thesis, University of Leicester, 2013. http://hdl.handle.net/2381/28136.
Texto completoMarin, 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.
Texto completoDoctor of Philosophy
Stöber, Regina [Verfasser], Jan Georg [Akademischer Betreuer] Hengstler y 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.
Texto completoLansink, 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.
Texto completoBoileau, Adeline. "Biomarqueurs transcriptomiques sanguins des maladies cardiovasculaires". Thesis, Université de Lorraine, 2018. http://www.theses.fr/2018LORR0186/document.
Texto completoCardiovascular 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/.
Texto completoBraga, D. "TRANSCRIPTOMIC ANALYSIS IN SEPTIC SHOCK PATIENTS". Doctoral thesis, Università degli Studi di Milano, 2017. http://hdl.handle.net/2434/473670.
Texto completoBallantine, 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/.
Texto completoEckold, 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/.
Texto completoAmnebrink, 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.
Texto completoCapítulos de libros sobre el tema "Blood transcriptomics"
Warnat-Herresthal, Stefanie, Marie Oestreich, Joachim L. Schultze y Matthias Becker. "Artificial Intelligence in Blood Transcriptomics". En Artificial Intelligence in Medicine, 1109–23. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-64573-1_262.
Texto completoParnell, Grant P. y David R. Booth. "Whole Blood Transcriptomic Analysis to Identify Clinical Biomarkers of Drug Response". En 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.
Texto completoSolomon, Brad y Carl Kingsford. "Improved Search of Large Transcriptomic Sequencing Databases Using Split Sequence Bloom Trees". En Lecture Notes in Computer Science, 257–71. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56970-3_16.
Texto completoFarid, A. H., S. S. Moore y U. Basu. "The assembly of the mink blood transcriptoms generated by the next generation sequencing using the dog genome". En 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.
Texto completoRinchai, Darawan, Davide Bedognetti y Darawan Chaussabel. "Blood Transcriptomic Approaches to Cancer Immunotherapy". En Cancer Immunotherapy Principles and Practice. 2a ed. New York, NY: Springer Publishing Company, 2021. http://dx.doi.org/10.1891/9780826137432.0043.
Texto completoRockett, John. "Blood-Derived Transcriptomic Profiles as a Means to Monitor Levels of Toxicant Exposure and the Effects of Toxicants on Inaccessible Target Tissues". En Surrogate Tissue Analysis, 65–76. Informa Healthcare, 2005. http://dx.doi.org/10.1201/9781420038095.ch5.
Texto completoNahar, Jesmin, Kevin S. Tickle y A. B. M. Shawkat Ali. "Pattern Discovery from Biological Data". En 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.
Texto completoNahar, Jesmin, Kevin S. Tickle y A. B. M. Shawkat Ali. "Pattern Discovery from Biological Data". En Machine Learning, 724–68. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-818-7.ch403.
Texto completoActas de conferencias sobre el tema "Blood transcriptomics"
Todorova, VK, ML Beggs, IB Dhakal, LJ Hennings, I. Makhoul y VS Klimberg. "P5-20-05: Peripheral Blood Transcriptomics and Doxorubicin Cardiotoxicity." En 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.
Texto completoCesaroni, Matteo, Jessica Schreiter, Loqmane Seridi, Jarrat Jordan, Marc Chevrier, Nando Bansal, Theresa Pattery y Jorge Villacian. "AB0499 FINGERSTICK BLOOD TRANSCRIPTOMICS: A PATIENT-CENTRIC APPROACH TO ENABLE PRECISION MEDICINE?" En 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.
Texto completoGrigoryev, Dmitry N., Stephen C. Mathai, Tonya Watkins, Chris Cheadle, Laura Hummers, Fredrick M. Wigley, Roger A. Johns, Kathleen C. Barnes y Paul M. Hassoun. "Effect Of Pulmonary Arterial Hypertension On Transcriptomics Of Peripheral Blood Mononuclear Cells". En 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.
Texto completoJiang, 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". En 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.
Texto completoFaner 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". En ERS International Congress 2016 abstracts. European Respiratory Society, 2016. http://dx.doi.org/10.1183/13993003.congress-2016.oa1776.
Texto completoLu, 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". En 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.
Texto completoSingh, Dave, John H. Riley, Steve Fox, Ruth Tal-Singer, Hana Muellerova y Bartolome Celli. "Prediction Of A COPD Exacerbation Phenotype Using Blood Transcriptomic Markers". En 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.
Texto completoNikolopoulos, D., A. Filia, K. Katsiki, T. Manolakou, A. Pieta, N. Kapsala, G. Bertsias, A. Fanouriakis y D. Boumpas. "PO.1.8 Distinct transcriptomic signature of peripheral blood in neuropsychiatric lupus". En 13th European Lupus Meeting, Stockholm (October 5–8, 2022). Lupus Foundation of America, 2022. http://dx.doi.org/10.1136/lupus-2022-elm2022.42.
Texto completoZeng, C., G. C. Motta Ribeiro, T. Hinoshita, M. A. Lessa, C. Kosour, K. Grogg, J. Hutchinson, R. M. Baron, T. Winkler y M. F. Vidal Melo. "One-Lung Ventilation Causes Blood Transcriptomic Changes in Intact and Endotoxemic Sheep". En 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.
Texto completoCastaldi, P. "Blood Transcriptomic and Proteomic Biomarkers of Electronic Nicotine Delivery Systems Use in the COPDGene Study". En 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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