Results 171 to 180 of about 246,146 (311)

A long noncoding RNA activated by TGF-β promotes the invasion-metastasis cascade in hepatocellular carcinoma.

Cancer Cell, 2014
Ji-hang Yuan, Fu Yang, F. Wang, Jin‐zhao Ma, Ying-jun Guo, Qi‐fei Tao, Feng Liu, W. Pan, Tian‐tian Wang, Chuan‐chuan Zhou, Shao-bing Wang, Yu‐zhao Wang, Yuan Yang, N. Yang, Weiping Zhou, Guang‐shun Yang, Shuhan Sun   +16 more
semanticscholar   +1 more source

To be or not to be a protein coding mutation, that's the question! [PDF]

NAR Genom Bioinform
De Groote D, Pepe D, Janssens X, De Keersmaecker K.   +3 more
europepmc   +1 more source

A peptide encoded by a transcript annotated as long noncoding RNA enhances SERCA activity in muscle

Science, 2016
Benjamin R Nelson, C. Makarewich, Douglas M. Anderson, Benjamin R. Winders, Constantine D. Troupes, Fenfen Wu, Austin L Reese, John R. McAnally, Xiongwen Chen, E. Kavalali, S. Cannon, S. Houser, R. Bassel-Duby, E. Olson   +13 more
semanticscholar   +1 more source

A highly abundant circular RNA from the RMST locus plays a role in posterior fossa ependymoma pathogenesis

Brain Pathology, EarlyView.
circRMST (hsa_circ_0099634) is by far the most abundant isoform from the RMST locus. It is highly expressed in cancer cells throughout ependymoma patient samples and is located in the cytoplasm. circRMST knockdown causes cell cycle arrest and induces differentiation, and it is a marker for poor prognosis. The figure is made using BioRender.
Ulvi Ahmadov, Charlotte W. Udengaard, Stine M. Vissing, Silke D. Nielsen, Kim‐Gwendolyn Dietrich, Benedicte Parm Ulhøi, Lasse S. Kristensen   +6 more
wiley   +1 more source

Editorial: RNA-chromatin interactions: biology, mechanism, disease, and therapeutics—volume 2

Frontiers in Genetics
Malik Bisserier, Luciano G. Martelotto, Assam El-Osta, Prabhu Mathiyalagan   +3 more
doaj   +1 more source

Orchestrating HFpEF: How Noncoding RNAs Drive Pathophysiology and Phenotypic Outcomes. [PDF]

Int J Mol Sci
Alifragki A, Katsi V, Fragkiadakis K, Karagkounis T, Kopidakis N, Kallergis E, Zacharis E, Kampanieris E, Simantirakis E, Tsioufis K, Marketou M.   +10 more
europepmc   +1 more source

System level network data and models attack cancer drug resistance

British Journal of Pharmacology, EarlyView.
Drug resistance is responsible for >90% of cancer related deaths. Cancer drug resistance is a system level network phenomenon covering the entire cell. Small‐scale interactomes and signalling network models of drug resistance guide directed drug development.
Márk Kerestély, Dávid Keresztes, Levente Szarka, Borbála M. Kovács, Klára Schulc, Dániel V. Veres, Peter Csermely   +6 more
wiley   +1 more source

The role of the host—Neutrophil biology

Periodontology 2000, EarlyView., 2023
Abstract Neutrophilic polymorphonuclear leukocytes (neutrophils) are myeloid cells packed with lysosomal granules (hence also called granulocytes) that contain a formidable antimicrobial arsenal. They are terminally differentiated cells that play a critical role in acute and chronic inflammation, as well as in the resolution of inflammation and wound ...
Iain L. C. Chapple, Josefine Hirschfeld, Alpdogan Kantarci, Asaf Wilensky, Lior Shapira   +4 more
wiley   +1 more source

Transcriptional and functional effects of mavacamten in multiple porcine and human models with hypertrophic cardiomyopathy

British Journal of Pharmacology, EarlyView.
Abstract Background and Purpose Mavacamten (MAVA) is a novel small molecule inhibitor of cardiac myosin, mitigating cardiomyocyte hypercontractility in patients with hypertrophic obstructive cardiomyopathy (HOCM). Despite its recent approval for clinical use, the transcriptional and functional impacts of MAVA remain not well understood.
Elisa Kiselev, Wilson Agyapong, Bjarne Jürgens, Elisa Mohr, Shambhabi Chatterjee, Hannah J. Hunkler, Jawad Salman, Giuseppe Cipriano, Marco Bentele, Junqing Liu, Jonas Specht, Kaja S. Menge, Florian J. G. Waleczek, Jonas A. Haas, Anselm A. Derda, Kristina Sonnenschein, Anika Gietz, Susanne Neumüller, Angelika Pfanne, Oliver Beetz, Michael Pflaum, Bettina Wiegmann, Yiangos Psaras, Christopher Toepfer, Robert Zweigerdt, Ante Radocaj, Theresia Kraft, Andre Zeug, Evgeni Ponimaskin, Wilhelm Korte, Alexander Horke, Arjang Ruhparwar, Maximilian Fuchs, Ke Xiao, Christian Bär, Natalie Weber, Thomas Thum   +36 more
wiley   +1 more source

FLYNC: a machine-learning-driven framework for discovering long noncoding RNAs in <i>Drosophila melanogaster</i>. [PDF]

NAR Genom Bioinform
Dos Santos RF, Baptista T, Marques GS, Homem CCF.   +3 more
europepmc   +1 more source