Artículos de revistas sobre el tema "Blood transcriptomics"
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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 completoAlhamdan, Fahd, Kristina Laubhahn, Christine Happle, Anika Habener, Adan C. Jirmo, Clemens Thölken, Raffaele Conca et al. "Timing of Blood Sample Processing Affects the Transcriptomic and Epigenomic Profiles in CD4+ T-cells of Atopic Subjects". Cells 11, n.º 19 (22 de septiembre de 2022): 2958. http://dx.doi.org/10.3390/cells11192958.
Texto completoGnatenko, Dmitri V., Peter L. Perrotta y Wadie F. Bahou. "Proteomic approaches to dissect platelet function: half the story". Blood 108, n.º 13 (15 de diciembre de 2006): 3983–91. http://dx.doi.org/10.1182/blood-2006-06-026518.
Texto completoConway, Bryan R., Eoin D. O’Sullivan, Carolynn Cairns, James O’Sullivan, Daniel J. Simpson, Angela Salzano, Katie Connor et al. "Kidney Single-Cell Atlas Reveals Myeloid Heterogeneity in Progression and Regression of Kidney Disease". Journal of the American Society of Nephrology 31, n.º 12 (25 de septiembre de 2020): 2833–54. http://dx.doi.org/10.1681/asn.2020060806.
Texto completoWatcham, Sam, Iwo Kucinski y Berthold Gottgens. "New insights into hematopoietic differentiation landscapes from single-cell RNA sequencing". Blood 133, n.º 13 (28 de marzo de 2019): 1415–26. http://dx.doi.org/10.1182/blood-2018-08-835355.
Texto completoCandelli, Tito, Pauline Schneider, Patricia Garrido Castro, Luke A. Jones, Rob Pieters, Thanasis Margaritis, Ronald W. Stam y Frank C. P. Holstege. "Single Cell Transcriptomics Predicts Relapse in Infants with Acute Lymphoblastic Leukemia". Blood 134, Supplement_1 (13 de noviembre de 2019): 3951. http://dx.doi.org/10.1182/blood-2019-123052.
Texto completoHelal, Moutaz, Mara John, Emilia Stanojkovska, Greta Mattavelli, Lars Grundheber, Alexander Leipold, Nazia Afrin et al. "Spatial Transcriptomics Reveals a Multi Cellular Ecosystem in Extramedullary Multiple Myeloma". Blood 140, Supplement 1 (15 de noviembre de 2022): 7060–61. http://dx.doi.org/10.1182/blood-2022-168700.
Texto completoVan Loon, Elisabet y Maarten Naesens. "Blood transcriptomics as non-invasive marker for kidney transplant rejection". Néphrologie & Thérapeutique 17 (abril de 2021): S78—S82. http://dx.doi.org/10.1016/j.nephro.2020.02.012.
Texto completoSURYADEVARA, RAHUL, ANDREW GREGORY, ARIA MASOOMI, ZHONGHUI XU, SETH BERMAN, JEONG YUN, AABIDA SAFERALI et al. "BLOOD TRANSCRIPTOMICS-BASED MACHINE LEARNING PREDICTION OF EMPHYSEMA IN SMOKERS". Chest 160, n.º 4 (octubre de 2021): A1841—A1842. http://dx.doi.org/10.1016/j.chest.2021.07.1653.
Texto completoRosenbaum, James T., Christina A. Harrington, Robert P. Searles, Suzanne S. Fei, Amr Zaki, Sruthi Arepalli, Michael A. Paley et al. "Revising the Diagnosis of Idiopathic Uveitis by Peripheral Blood Transcriptomics". American Journal of Ophthalmology 222 (febrero de 2021): 15–23. http://dx.doi.org/10.1016/j.ajo.2020.09.012.
Texto completoNahum, Laila A., Marina M. Mourão y Guilherme Oliveira. "New Frontiers inSchistosomaGenomics and Transcriptomics". Journal of Parasitology Research 2012 (2012): 1–11. http://dx.doi.org/10.1155/2012/849132.
Texto completoZhu, Caiying, Yu Lian, Chenchen Wang, Peng Wu, Xuan Li, Yan Gao, Sibin Fan et al. "Single-cell transcriptomics dissects hematopoietic cell destruction and T-cell engagement in aplastic anemia". Blood 138, n.º 1 (24 de marzo de 2021): 23–33. http://dx.doi.org/10.1182/blood.2020008966.
Texto completoHuang, Benjamin J., Jenny L. Smith, Timothy I. Shaw, Scott N. Furlan, Rhonda E. Ries, Amanda R. Leonti, Erin Lynn Crowgey et al. "Integrated Transcriptomics and Proteomics Identifies Therapeutic Targets in Pediatric Acute Myeloid Leukemia". Blood 138, Supplement 1 (5 de noviembre de 2021): 1296. http://dx.doi.org/10.1182/blood-2021-153970.
Texto completoDong, Ruochen, Jonathon Russell, Hua Li, Seth Malloy, Kate Hall, Kaitlyn Petentler, Allison Scott et al. "Using Spatial Transcriptomics to Reveal Fetal Liver Hematopoietic Stem Cell-Niche Interactions". Blood 140, Supplement 1 (15 de noviembre de 2022): 1688–89. http://dx.doi.org/10.1182/blood-2022-170352.
Texto completoMao, Xinjian, Ning Zhang, Kate Hall, Kaitlyn Petentler, Allison Scott, Seth Malloy, Fang Liu et al. "Characterization of Dynamic Niche Signaling Modules during Embryonic Hematopoietic Development Using Spatial Transcriptomics". Blood 140, Supplement 1 (15 de noviembre de 2022): 8568–69. http://dx.doi.org/10.1182/blood-2022-160325.
Texto completoGranata, Simona, Alessandra Dalla Gassa, Gloria Bellin, Antonio Lupo y Gianluigi Zaza. "Transcriptomics: A Step behind the Comprehension of the Polygenic Influence on Oxidative Stress, Immune Deregulation, and Mitochondrial Dysfunction in Chronic Kidney Disease". BioMed Research International 2016 (2016): 1–16. http://dx.doi.org/10.1155/2016/9290857.
Texto completoLi, Yuping, Xiaoqian Liu, Xuxiang Liu, Xiwei Wu, Alyssa Bouska, Waseem G. Lone, Chan-Wang J. Lio et al. "Single-Cell Transcriptomics of Human TET2 Knockout CD4 T-Cells and Their Clonal Evolution". Blood 136, Supplement 1 (5 de noviembre de 2020): 22–23. http://dx.doi.org/10.1182/blood-2020-143113.
Texto completoSierra, Beatriz, Ana Cristina Magalhães, Daniel Soares, Bruno Cavadas, Ana B. Perez, Mayling Alvarez, Eglis Aguirre, Claudia Bracho, Luisa Pereira y Maria G. Guzman. "Multi-Tissue Transcriptomic-Informed In Silico Investigation of Drugs for the Treatment of Dengue Fever Disease". Viruses 13, n.º 8 (4 de agosto de 2021): 1540. http://dx.doi.org/10.3390/v13081540.
Texto completoAbdullah, Mohammad Nasir, Yap Bee Wah, Abu Bakar Abdul Majeed, Yuslina Zakaria y Norshahida Shaadan. "Identification of Blood-Based Multi-Omics Biomarkers for Alzheimer’s Disease Using Firth’s Logistic Regression". Pertanika Journal of Science and Technology 30, n.º 2 (14 de marzo de 2022): 1197–218. http://dx.doi.org/10.47836/pjst.30.2.19.
Texto completoSellamuthu, Rajendran, Christina Umbright, Jenny R. Roberts, Rebecca Chapman, Shih-Houng Young, Diana Richardson, Jared Cumpston et al. "Transcriptomics analysis of lungs and peripheral blood of crystalline silica-exposed rats". Inhalation Toxicology 24, n.º 9 (agosto de 2012): 570–79. http://dx.doi.org/10.3109/08958378.2012.697926.
Texto completoHadland, Brandon, Barbara Varnum-Finney, Stacey Dozono, Tessa Dignum, Cynthia Nourigat-Mckay, Dana Jackson, Shahin Rafii, Cole Trapnell y Irwin D. Bernstein. "Integrated Single Cell Transcriptomics Defines an Engineered Niche Supporting Hematopoietic Stem Cell Development Ex Vivo". Blood 134, Supplement_1 (13 de noviembre de 2019): 3699. http://dx.doi.org/10.1182/blood-2019-126109.
Texto completoHaas, Simon, Chiara Baccin, Jude Al-Sabah, Lars Velten, Steinmetz Lars y Andreas Trumpp. "Combined Single-Cell and Spatial Transcriptomics to Deconvolute the Hematopoietic Stem Cell Niche". Blood 132, Supplement 1 (29 de noviembre de 2018): 876. http://dx.doi.org/10.1182/blood-2018-99-118479.
Texto completoKiechle, Frederick L. y Carol A. Holland-Staley. "Genomics, Transcriptomics, Proteomics, and Numbers". Archives of Pathology & Laboratory Medicine 127, n.º 9 (1 de septiembre de 2003): 1089–97. http://dx.doi.org/10.5858/2003-127-1089-gtpan.
Texto completoGregory, Andrew, Zhonghui Xu, Katherine Pratte, Seth Berman, Robin Lu, Rahul Suryadevara, Robert Chase et al. "Blood RNA and protein biomarkers are associated with vaping and dual use, and prospective health outcomes". F1000Research 12 (2 de febrero de 2023): 123. http://dx.doi.org/10.12688/f1000research.128583.1.
Texto completoKanaan, Sami B., Shruti Bhise, Todd M. Cooper, Soheil Meshinchi y Scott N. Furlan. "Single-Cell Transcriptomics for Residual Disease Detection in Acute Myelogenous Leukemia Post Allogeneic Hematopoietic Cell Transplantation". Blood 138, Supplement 1 (5 de noviembre de 2021): 518. http://dx.doi.org/10.1182/blood-2021-151504.
Texto completoAinciburu, Marina, Teresa Ezponda, Nerea Berastegui, Ana Alfonso Pierola, Amaia Vilas-Zornoza, Patxi San Martin-Uriz, Diego Alignani et al. "Single-Cell Transcriptomics Study of Human Hematopoietic Progenitors Reveals Alterations Associated with Aging and Myeloid Malignancies". Blood 138, Supplement 1 (5 de noviembre de 2021): 1082. http://dx.doi.org/10.1182/blood-2021-153550.
Texto completoHaase, Christa, Karin Gustafsson, Shenglin Mei, Jelena Milosevic, Shu-Chi Yeh, David Sykes, Peter Kharchenko, David T. Scadden y Charles Lin. "Spatial Transcriptomics Reveals DPP4 As Novel Marker of a More Proliferative Phenotype in Early AML Progression". Blood 138, Supplement 1 (5 de noviembre de 2021): 3310. http://dx.doi.org/10.1182/blood-2021-151917.
Texto completoEnnis, Sarah, Alessandra Conforte, Sukhraj Pal Singh Dhami, Philippe Krebs, Michael O'Dwyer y Eva Szegezdi. "Single Cell Transcriptomics Revealed Molecular Alterations in AML Cell Clusters Relevant to Refractory Disease at Relapse". Blood 138, Supplement 1 (5 de noviembre de 2021): 3316. http://dx.doi.org/10.1182/blood-2021-153910.
Texto completoBonolo De Campos, Cecilia, Caleb K. Stein, Nathalie Meurice, Laura Ann Bruins, Joachim L. Petit, Alysia N. Polito, Gregory J. Ahmann et al. "Integrative Analysis of FISH, Transcriptomics and Mutational Status Predicts Responsiveness to Novel Agents in Multiple Myeloma". Blood 134, Supplement_1 (13 de noviembre de 2019): 574. http://dx.doi.org/10.1182/blood-2019-130977.
Texto completoPushel, Irina, Midhat S. Farooqi, Byunggil Yoo, Kai Tan, Kathrin M. Bernt y Erin Guest. "Single-Cell Transcriptomics Reveals Similarity of Aggressive Infant Acute Lymphoblastic Leukemia Cells to Early Hematopoietic Progenitors". Blood 140, Supplement 1 (15 de noviembre de 2022): 6339–40. http://dx.doi.org/10.1182/blood-2022-170028.
Texto completoJordana-Urriza, Lorea, Guillermo Serrano, Maria Erendira Calleja-Cervantes, Patxi San Martin-Uriz, Amaia Vilas-Zornoza, Asier Ullate-Agote, Aintzane Zabaleta et al. "Identification of Molecular Mechanisms Governing CAR-T Cell Response in MM Patients Using Single Cell Transcriptomics". Blood 140, Supplement 1 (15 de noviembre de 2022): 7366–68. http://dx.doi.org/10.1182/blood-2022-163082.
Texto completoLi, Xing, Kevin J. Severson, Meera H. Patel, Caitlin M. Brumfiel, Alysia Hughes, David DiCaudo, Nneka Comfere et al. "Comparative Transcriptomics of Alpha-Beta Subcutaneous Panniculitis-like T-Cell Lymphoma and Primary Cutaneous Gamma Delta T-Cell Lymphoma". Blood 136, Supplement 1 (5 de noviembre de 2020): 17. http://dx.doi.org/10.1182/blood-2020-140982.
Texto completoWatkins, Ben, James Kaminski, Muna Qayed, Kayla Betz, Yvonne Suessmuth, Brandi Bratrude, Alison Yu et al. "Predicting Immune Pathology after Hematopoietic Stem Cell Transplant with Transcriptomics: Naïve CD4 T Cell Expansion at Day 100 Predicts Patients with De Novo Chronic Gvhd". Blood 136, Supplement 1 (5 de noviembre de 2020): 38–39. http://dx.doi.org/10.1182/blood-2020-139488.
Texto completoPellegrini, Laura, Claudia Bonfio, Jessica Chadwick, Farida Begum, Mark Skehel y Madeline A. Lancaster. "Human CNS barrier-forming organoids with cerebrospinal fluid production". Science 369, n.º 6500 (11 de junio de 2020): eaaz5626. http://dx.doi.org/10.1126/science.aaz5626.
Texto completoTreaba, Diana O., Dennis M. Bonal, Anna D. Chorzalska, Christoph Schorl, Kelsey Hopkins, John L. Reagan, Peter Rintels, Peter J. Quesenberry y Patrycja M. Dubielecka. "Levels of Osteopontin (SPP1), Osteonectin (SPARC) and Biglycan (BGN) in Acute Myeloid Leukemia Bone Marrow Biopsies Post-Induction Therapy Define the Status of Osteogenic Niche and Show Inverse Correlation with Therapeutic Response". Blood 136, Supplement 1 (5 de noviembre de 2020): 29–30. http://dx.doi.org/10.1182/blood-2020-142604.
Texto completovan Bergen, Cornelis A. M., Marvyn T. Koning, Edwin Quinten, Agnieszka Mykowiecka, Julieta Sepulveda, Ramin Monajemi, Ruben A. L. De Groen et al. "High-Throughput BCR Sequencing and Single-Cell Transcriptomics Reveal Distinct Transcriptional Profiles Associated with Subclonal Evolution of Follicular Lymphoma". Blood 134, Supplement_1 (13 de noviembre de 2019): 298. http://dx.doi.org/10.1182/blood-2019-130508.
Texto completoChaussabel, Damien. "Assessment of immune status using blood transcriptomics and potential implications for global health". Seminars in Immunology 27, n.º 1 (febrero de 2015): 58–66. http://dx.doi.org/10.1016/j.smim.2015.03.002.
Texto completoGobert, Geoffrey N., Russell McInnes, Luke Moertel, Charles Nelson, Malcolm K. Jones, Wei Hu y Donald P. McManus. "Transcriptomics tool for the human Schistosoma blood flukes using microarray gene expression profiling". Experimental Parasitology 114, n.º 3 (noviembre de 2006): 160–72. http://dx.doi.org/10.1016/j.exppara.2006.03.003.
Texto completoFlohr Svendsen, Arthur, Daozheng Yang, KyungMok Kim, Seka Lazare, Natalia Skinder, Erik Zwart, Anna Mura-Meszaros et al. "A comprehensive transcriptome signature of murine hematopoietic stem cell aging". Blood 138, n.º 6 (19 de abril de 2021): 439–51. http://dx.doi.org/10.1182/blood.2020009729.
Texto completoPotdar, Alka A., Michael Caponegro, Onuralp Soylemez, Anupama Reddy y Karen Yu. "Investigating Gene Expression Signatures and Cell-Type Composition Changes in Sickle Cell Disease Using Whole Blood Transcriptomics". Blood 140, Supplement 1 (15 de noviembre de 2022): 5403–4. http://dx.doi.org/10.1182/blood-2022-167738.
Texto completoNelson, Jonathan W., Mohammed Z. Ferdaus, James A. McCormick, Jessica Minnier, Sanjiv Kaul, David H. Ellison y Anthony P. Barnes. "Endothelial transcriptomics reveals activation of fibrosis-related pathways in hypertension". Physiological Genomics 50, n.º 2 (1 de febrero de 2018): 104–16. http://dx.doi.org/10.1152/physiolgenomics.00111.2017.
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