scholarly journals Functional diversity for REST (NRSF) is defined by in vivo binding affinity hierarchies at the DNA sequence level

2009 ◽  
Vol 19 (6) ◽  
pp. 994-1005 ◽  
Author(s):  
A. W. Bruce ◽  
A. J. Lopez-Contreras ◽  
P. Flicek ◽  
T. A. Down ◽  
P. Dhami ◽  
...  
2013 ◽  
Vol 41 (2) ◽  
pp. 548-553 ◽  
Author(s):  
Andrew A. Travers ◽  
Georgi Muskhelishvili

How much information is encoded in the DNA sequence of an organism? We argue that the informational, mechanical and topological properties of DNA are interdependent and act together to specify the primary characteristics of genetic organization and chromatin structures. Superhelicity generated in vivo, in part by the action of DNA translocases, can be transmitted to topologically sensitive regions encoded by less stable DNA sequences.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Ryan Lusk ◽  
Evan Stene ◽  
Farnoush Banaei-Kashani ◽  
Boris Tabakoff ◽  
Katerina Kechris ◽  
...  

AbstractAnnotation of polyadenylation sites from short-read RNA sequencing alone is a challenging computational task. Other algorithms rooted in DNA sequence predict potential polyadenylation sites; however, in vivo expression of a particular site varies based on a myriad of conditions. Here, we introduce aptardi (alternative polyadenylation transcriptome analysis from RNA-Seq data and DNA sequence information), which leverages both DNA sequence and RNA sequencing in a machine learning paradigm to predict expressed polyadenylation sites. Specifically, as input aptardi takes DNA nucleotide sequence, genome-aligned RNA-Seq data, and an initial transcriptome. The program evaluates these initial transcripts to identify expressed polyadenylation sites in the biological sample and refines transcript 3′-ends accordingly. The average precision of the aptardi model is twice that of a standard transcriptome assembler. In particular, the recall of the aptardi model (the proportion of true polyadenylation sites detected by the algorithm) is improved by over three-fold. Also, the model—trained using the Human Brain Reference RNA commercial standard—performs well when applied to RNA-sequencing samples from different tissues and different mammalian species. Finally, aptardi’s input is simple to compile and its output is easily amenable to downstream analyses such as quantitation and differential expression.


2021 ◽  
Author(s):  
Li Li ◽  
Zheng Lv ◽  
Zhongwei Man ◽  
Zhenzhen Xu ◽  
YuLing Wei ◽  
...  

Amyloid fibrils are associated with many neurodegenerative diseases. In-situ and in-vivo visualization of amyloid fibrils is important for medical diagnostic and requires fluorescent probes with both excitation and emission wavelengths in...


Cell Reports ◽  
2020 ◽  
Vol 33 (6) ◽  
pp. 108361
Author(s):  
Hao Liu ◽  
Sarah Pizzano ◽  
Ruonan Li ◽  
Wenquan Zhao ◽  
Macy W. Veling ◽  
...  

2013 ◽  
Vol 41 (9) ◽  
pp. 4888-4900 ◽  
Author(s):  
D. P. Stuss ◽  
M. Cheema ◽  
M. K. Ng ◽  
A. Martinez de Paz ◽  
B. Williamson ◽  
...  

2012 ◽  
Vol 11 (6) ◽  
pp. 1365-1372 ◽  
Author(s):  
Kelly Davis Orcutt ◽  
John J. Rhoden ◽  
Benjamin Ruiz-Yi ◽  
John V. Frangioni ◽  
K. Dane Wittrup

1994 ◽  
Vol 257 (1-2) ◽  
pp. 195-197 ◽  
Author(s):  
Victor L. Villemagne ◽  
J. James Frost ◽  
Robert F. Dannals ◽  
John R. Lever ◽  
Shuji Tanada ◽  
...  

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