Zobrazeno 1 - 10
of 322
pro vyhledávání: '"Tamar Schlick"'
Publikováno v:
eLife, Vol 12 (2024)
Transcription factors (TF) bind to chromatin and regulate the expression of genes. The pair Myc:Max binds to E-box regulatory DNA elements throughout the genome to control the transcription of a large group of specific genes. We introduce an implicit
Externí odkaz:
https://doaj.org/article/b45dcfe84dd14c9492a9d90a781b0330
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-13 (2022)
Modeling the SARS-CoV-2 frameshifting RNA element (FSE), a drug target against Covid-19, the authors analyze the dynamics of three FSE conformations at different lengths to propose a conformational transition pathway and describe anti-viral strategie
Externí odkaz:
https://doaj.org/article/55a9822aa17d4ee6945a2c238dd1b11a
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, Vol 20, Iss , Pp 6120-6137 (2022)
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
Externí odkaz:
https://doaj.org/article/a7b658ecc43d44eeabee93b85ac3c176
Autor:
Sarah G Swygert, Dejun Lin, Stephanie Portillo-Ledesma, Po-Yen Lin, Dakota R Hunt, Cheng-Fu Kao, Tamar Schlick, William S Noble, Toshio Tsukiyama
Publikováno v:
eLife, Vol 10 (2021)
A longstanding hypothesis is that chromatin fiber folding mediated by interactions between nearby nucleosomes represses transcription. However, it has been difficult to determine the relationship between local chromatin fiber compaction and transcrip
Externí odkaz:
https://doaj.org/article/a270fb6c58b2464c9542e207b7d77cab
Autor:
Tamar Schlick
Publikováno v:
Biophysical Reports, Vol 1, Iss 1, Pp 100010- (2021)
Externí odkaz:
https://doaj.org/article/d7cf63691df846f0bb51d3ab0a68d609
Autor:
Pablo Aurelio Gómez-García, Stephanie Portillo-Ledesma, Maria Victoria Neguembor, Martina Pesaresi, Walaa Oweis, Talia Rohrlich, Stefan Wieser, Eran Meshorer, Tamar Schlick, Maria Pia Cosma, Melike Lakadamyali
Publikováno v:
Cell Reports, Vol 34, Iss 2, Pp 108614- (2021)
Summary: Nucleosomes form heterogeneous groups in vivo, named clutches. Clutches are smaller and less dense in mouse embryonic stem cells (ESCs) compared to neural progenitor cells (NPCs). Using coarse-grained modeling of the pluripotency Pou5f1 gene
Externí odkaz:
https://doaj.org/article/09cbd6461b6b46cfb1f26dba19f5e8a8
Publikováno v:
PLoS ONE, Vol 11, Iss 1, p e0147097 (2016)
RNA junctions are important structural elements of RNA molecules. They are formed when three or more helices come together in three-dimensional space. Recent studies have focused on the annotation and prediction of coaxial helical stacking (CHS) moti
Externí odkaz:
https://doaj.org/article/1f1cd10a1c6c45b39262be2686344e4c
Publikováno v:
Bioinformatics and Biology Insights, Vol 2008, Iss 2, Pp 75-94 (2008)
Externí odkaz:
https://doaj.org/article/d5fd8fe3e6e1443fa2ba690161957d30
Publikováno v:
Bioinformatics and Biology Insights, Vol 2, Pp 77-95 (2008)
Recent studies of mammalian transcriptomes have identified numerous RNA transcripts that do not code for proteins; their identity, however, is largely unknown. Here we explore an approach based on sequence randomness patterns to discern different RNA
Externí odkaz:
https://doaj.org/article/39e982733fd9469781bbe6633b1ac632
Publikováno v:
PLoS ONE, Vol 9, Iss 9, p e106074 (2014)
Graph representations have been widely used to analyze and design various economic, social, military, political, and biological networks. In systems biology, networks of cells and organs are useful for understanding disease and medical treatments and
Externí odkaz:
https://doaj.org/article/15a35bc28d9445889e94da55d2df2d44