Zobrazeno 1 - 10
of 554
pro vyhledávání: '"CLIP-Seq"'
Autor:
Sarah Krautwurst, Kevin Lamkiewicz
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 4036-4046 (2024)
RNA-protein interactions (RPIs) are crucial for accurately operating various processes in and between organisms across kingdoms of life. Mutual detection of RPI partner molecules depends on distinct sequential, structural, or thermodynamic features,
Externí odkaz:
https://doaj.org/article/2f6fd3422f254fb9b8f0abf4ffcb4373
Autor:
Megan B. Kratz, Keriayn N. Smith
Publikováno v:
Frontiers in RNA Research, Vol 2 (2024)
Long noncoding RNA (lncRNA) genes outnumber protein coding genes in the human genome and the majority remain uncharacterized. A major difficulty in generalizing understanding of lncRNA function is the dearth of gross sequence conservation, both for l
Externí odkaz:
https://doaj.org/article/4855fa1487b044609df86c257a73c8bf
Autor:
Sofia Bergman, Liis Andresen, Jonas Kjellin, Yolanda Martinez Burgo, Petra Geiser, Sophie Baars, Fredrik Söderbom, Mikael E. Sellin, Erik Holmqvist
Publikováno v:
mSphere, Vol 9, Iss 3 (2024)
ABSTRACTGastrointestinal disease caused by Salmonella enterica is associated with the pathogen’s ability to replicate within epithelial cells and macrophages. Upon host cell entry, the bacteria express a type-three secretion system encoded within S
Externí odkaz:
https://doaj.org/article/2452475d32424a88af6d63d1840b3985
Autor:
Marc Horlacher, Nils Wagner, Lambert Moyon, Klara Kuret, Nicolas Goedert, Marco Salvatore, Jernej Ule, Julien Gagneur, Ole Winther, Annalisa Marsico
Publikováno v:
Genome Biology, Vol 24, Iss 1, Pp 1-37 (2023)
Abstract We present RBPNet, a novel deep learning method, which predicts CLIP-seq crosslink count distribution from RNA sequence at single-nucleotide resolution. By training on up to a million regions, RBPNet achieves high generalization on eCLIP, iC
Externí odkaz:
https://doaj.org/article/445877a9fcac48ce99e6d0fd0251c840
Publikováno v:
Biology, Vol 12, Iss 10, p 1276 (2023)
RNA-binding proteins are vital regulators in numerous biological processes. Their disfunction can result in diverse diseases, such as cancer or neurodegenerative disorders, making the prediction of their binding sites of high importance. Deep learnin
Externí odkaz:
https://doaj.org/article/cddf24ea2fe04bc483c39a341b58d8d1
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 13 (2023)
Rift Valley fever virus (RVFV), a bunyavirus, has a single-stranded, negative-sense tri-segmented RNA genome, consisting of L, M and S RNAs. An infectious virion carries two envelope glycoproteins, Gn and Gc, along with ribonucleoprotein complexes co
Externí odkaz:
https://doaj.org/article/f6255705115d49d7944be74cb4525695
Distinct binding pattern of EZH2 and JARID2 on RNAs and DNAs in hepatocellular carcinoma development
Autor:
Zhili Wen, Ke He, Meixiao Zhan, Yong Li, Fei Liu, Xu He, Yanli Wei, Wei Zhao, Yu Zhang, Yaqiang Xue, Yong Xia, Fenfen Wang, Zhenglin Xia, Yongjie Xin, Yeye Wu, Xiaopeng Duan, Jing Xiao, Feng Shen, Yuliang Feng, Guoan Xiang, Ligong Lu
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
Hepatocellular carcinoma (HCC) is one of the most malignant cancers worldwide, with high mortality. However, the molecular regulatory mechanisms of liver cancer, especially transcriptional and post-transcriptional mechanisms, should be further studie
Externí odkaz:
https://doaj.org/article/d5a660d408ed4bcb8d39291486b97ac8
Akademický článek
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Akademický článek
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Publikováno v:
BMC Genomics, Vol 21, Iss 1, Pp 1-8 (2020)
Abstract Background Current peak callers for identifying RNA-binding protein (RBP) binding sites from CLIP-seq data take into account genomic read profiles, but they ignore the underlying transcript information, that is information regarding splicing
Externí odkaz:
https://doaj.org/article/7980b6e5303a4d27aca434c61f51ef06