decay factor
Recently Published Documents


TOTAL DOCUMENTS

89
(FIVE YEARS 29)

H-INDEX

16
(FIVE YEARS 3)

2021 ◽  
Author(s):  
Himanshu Mittal ◽  
Babita Sharma ◽  
Manisha Sandhu ◽  
Dinesh Kumar

mBio ◽  
2021 ◽  
Author(s):  
Yen-Chin Liu ◽  
Bobo Wing-Yee Mok ◽  
Pui Wang ◽  
Rei-Lin Kuo ◽  
Honglin Chen ◽  
...  

A novel mechanistic discovery reveals that the host decay factor XRN1 contributes to influenza A virus replication, which exploits XRN1 activity to inhibit RIG-I-mediated innate immune response. Here, we identified a novel interaction between viral NS1 and host XRN1.


2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Xin-Yu Tu ◽  
Bo Zhang ◽  
Yu-Peng Jin ◽  
Guo-Jian Zou ◽  
Jian-Guo Pan ◽  
...  

Air pollution has become a critical issue in human’s life. Predicting the changing trends of air pollutants would be of great help for public health and natural environments. Current methods focus on the prediction accuracy and retain the forecasting time span within 12 hours. Shorter time span decreases the practicability of these perditions, even with higher accuracy. This study proposes an attention and autoencoder (A&A) hybrid learning approach to obtain a longer period of air pollution changing trends while holding the same high accuracy. Since pollutant concentration forecast highly relates to time changing, quite different from normal prediction problems like autotranslation, we integrate “time decay factor” into the traditional attention mechanism. The time decay factor can alleviate the impact of the value observed from a longer time before while increasing the impact of the value from a closer time point. We also utilize the hidden states in the decoder to build connection between history values and current ones. Thus, the proposed model can extract the changing trend of a longer history time span while coping with abrupt changes within a shorter time span. A set of experiments demonstrate that the A&A learning approach can obtain the changing trend of air pollutants, like PM2.5, during a longer time span of 12, 24, or even 48 hours. The approach is also tested under different pollutant concentrations and different periods and the results validate its robustness and generality.


Author(s):  
Fei Wang ◽  
Songhua Xu ◽  
Dazhi Jiang ◽  
Baoquan Zhao ◽  
Xi Dai ◽  
...  

Author(s):  
Gan Zhi-Gang ◽  
Rao Shen ◽  
Jiang Xiao-Ning ◽  
Yu Chang-Hong ◽  
Yu Bin-Xiao ◽  
...  
Keyword(s):  

2021 ◽  
Author(s):  
Shiladitya Chattopadhyay ◽  
Jose Garcia-Martinez ◽  
Gal Haimovich ◽  
Aya Khwaja ◽  
Oren Barkai ◽  
...  

AbstractmRNA level is controlled by factors that mediate both mRNA synthesis and decay, including the exonuclease Xrn1 - a major mRNA synthesis and decay factor. Here we show that nucleocytoplasmic shuttling of Xrn1 and of some of its associated mRNA decay factors plays a key role in determining both mRNA synthesis and decay. Shuttling is regulated by RNA-controlled binding of the karyopherin Kap120 to two nuclear localization sequences (NLSs) in Xrn1. The decaying RNA binds and masks NLS1, establishing a link between mRNA decay and Xrn1 shuttling. Mutations in the two NLSs, which prevent Xrn1 import, compromise transcription and, unexpectedly, also the cytoplasmic decay of ∼50% of the cellular mRNAs - comparably to Xrn1 deletion. These findings uncover a cytoplasmic mRNA decay pathway that begins in the nucleus. Interestingly, Xrn1 shuttling is required for proper adaptation to environmental changes, in particular to ever changing environmental fluctuations.


2021 ◽  
Vol 534 ◽  
pp. 491-497
Author(s):  
Souichi Oe ◽  
Taro Koike ◽  
Yukie Hirahara ◽  
Susumu Tanaka ◽  
Shinichi Hayashi ◽  
...  
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document