Zobrazeno 1 - 10
of 128
pro vyhledávání: '"Jeffrey S Kieft"'
Autor:
Hae J Park, Mark A Gregory, Vadym Zaberezhnyy, Andrew Goodspeed, Craig T Jordan, Jeffrey S Kieft, James DeGregori
Publikováno v:
eLife, Vol 11 (2022)
While leukemic cells are susceptible to various therapeutic insults, residence in the bone marrow microenvironment typically confers protection from a wide range of drugs. Thus, understanding the unique molecular changes elicited by the marrow is of
Externí odkaz:
https://doaj.org/article/ea84268fcc014d5baa026f0532c4b188
Translation initiation by the hepatitis C virus IRES requires eIF1A and ribosomal complex remodeling
Publikováno v:
eLife, Vol 5 (2016)
Internal ribosome entry sites (IRESs) are important RNA-based translation initiation signals, critical for infection by many pathogenic viruses. The hepatitis C virus (HCV) IRES is the prototype for the type 3 IRESs and is also invaluable for explori
Externí odkaz:
https://doaj.org/article/91c56e38cbae40e5a6810bd79def51ad
Autor:
Marisa D Ruehle, Haibo Zhang, Ryan M Sheridan, Somdeb Mitra, Yuanwei Chen, Ruben L Gonzalez Jr, Barry S Cooperman, Jeffrey S Kieft
Publikováno v:
eLife, Vol 4 (2015)
Internal ribosome entry sites (IRESs) are powerful model systems to understand how the translation machinery can be manipulated by structured RNAs and for exploring inherent features of ribosome function. The intergenic region (IGR) IRESs from the Di
Externí odkaz:
https://doaj.org/article/427c93c8058e4b5fb4ed901849befe4e
Publikováno v:
eLife, Vol 3 (2014)
Dengue virus is a growing global health threat. Dengue and other flaviviruses commandeer the host cell’s RNA degradation machinery to generate the small flaviviral RNA (sfRNA), a noncoding RNA that induces cytopathicity and pathogenesis. Host cell
Externí odkaz:
https://doaj.org/article/3e1986a94ca6477582777c03339950e3
Publikováno v:
PLoS ONE, Vol 3, Iss 9, p e3242 (2007)
A single internal ribosomal entry site (IRES) in conjunction with IRES transactivating factors (ITAFs) is sufficient to recruit the translational machinery to a eukaryotic mRNA independent of the cap structure. However, we demonstrate that the mouse
Externí odkaz:
https://doaj.org/article/3cc17d664c6c472ba033c889a0858f29
Autor:
Yousuf A. Khan, Gary Loughran, Anna-Lena Steckelberg, Katherine Brown, Stephen J. Kiniry, Hazel Stewart, Pavel V. Baranov, Jeffrey S. Kieft, Andrew E. Firth, John F. Atkins
Publikováno v:
Nature
Autor:
Lewis Rolband, Damian Beasock, Yang Wang, Yao-Gen Shu, Jonathan D. Dinman, Tamar Schlick, Yaoqi Zhou, Jeffrey S. Kieft, Shi-Jie Chen, Giovanni Bussi, Abdelghani Oukhaled, Xingfa Gao, Petr Šulc, Daniel Binzel, Abhjeet S. Bhullar, Chenxi Liang, Peixuan Guo, Kirill A. Afonin
Publikováno v:
Computational and Structural Biotechnology Journal
Computational and Structural Biotechnology Journal, 2022, 20, pp.6120-6137. ⟨10.1016/j.csbj.2022.11.007⟩
Computational and Structural Biotechnology Journal, 2022, 20, pp.6120-6137. ⟨10.1016/j.csbj.2022.11.007⟩
The International Society of RNA Nanotechnology and Nanomedicine (ISRNN) serves to further the development of a wide variety of functional nucleic acids and other related nanotechnology platforms. To aid in the dissemination of the most recent advanc
Autor:
Dan Theodorescu, Jeffrey S. Kieft, Xuejiao Wang, Marta Sanchez-Carbayo, Yuanbin Ru, Hong Wang
PDF file - 672K, Figure S1. High eIF3b mRNA expression is associated with human bladder cancer. Figure S2. eIF3b antibody specificity Figure S3. High eIF3b mRNA expression is associated with aggressive phenotypes in human prostate cancer Figure S4. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06644b8a81f8f70c00108973acb2ae26
https://doi.org/10.1158/1078-0432.22451580.v1
https://doi.org/10.1158/1078-0432.22451580.v1
Autor:
Dan Theodorescu, Jeffrey S. Kieft, Xuejiao Wang, Marta Sanchez-Carbayo, Yuanbin Ru, Hong Wang
PDF file - 136K, Translation initiation factor eIF3b expression in human cancer and its role in tumor growth and lung colonization Table S1. Clinicopathologic characteristics of bladder patient samples in microarray datasets Table S2. Clinicopatholog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8a496fcc938abf3198cdcad91a11101
https://doi.org/10.1158/1078-0432.22451577.v1
https://doi.org/10.1158/1078-0432.22451577.v1
Autor:
Parker J. Nichols, Shaun Bevers, Morkos A. Henen, Jeffrey S. Kieft, Quentin Vicens, Beat Vögeli
Publikováno v:
Methods in Molecular Biology ISBN: 9781071630839
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ff2329814e895aa309b1fb58450c314
https://doi.org/10.1007/978-1-0716-3084-6_18
https://doi.org/10.1007/978-1-0716-3084-6_18