Results 181 to 190 of about 1,454,960 (384)

Domain associated with zinc fingers‐containing NF90‐NF45 complex inhibits m6A modification of primary microRNA by suppressing METTL3/14 activity

FEBS Open Bio, EarlyView.
NF90–NF45 functions as a negative regulator of methyltransferase‐like 3/14 (METTL3/14)‐mediated N6‐methyladenosine (m6A) modification on primary microRNAs (pri‐miRNAs). NF90–NF45 binds to anti‐oncogenic pri‐miRNAs and inhibits their m6A modification, thereby suppressing the biogenesis of anti‐oncogenic miRNAs.
Takuma Higuchi, Shunsuke Morioka, Keiko Morisawa, Kazutsugu Matsukawa, Shingo Ashida, Takeshi Suzuki, Shuji Sakamoto   +6 more
wiley   +1 more source

A circadian gene expression atlas in mammals: Implications for biology and medicine

Proceedings of the National Academy of Sciences of the United States of America, 2014
Ray Zhang, N. Lahens, Heather Ballance, M. Hughes, J. Hogenesch   +4 more
semanticscholar   +1 more source

The role of lipid metabolism in neuronal senescence

FEBS Open Bio, EarlyView.
Disrupted lipid metabolism, through alterations in lipid species or lipid droplet accumulation, can drive neuronal senescence. However, lipid dyshomeostasis can also occur alongside neuronal senescence, further amplifying tissue damage. Delineating how lipid‐induced senescence emerges in neurons and glial cells, and how it contributes to ageing and ...
Dikaia Tsagkari, Eleftheria Panagiotidou, Nektarios Tavernarakis   +2 more
wiley   +1 more source

Exosome Proteomics of SOD1D90A Mutation Suggest Early Disease Mechanisms, and FN1 as a Biomarker

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Amyotrophic lateral sclerosis (ALS) is a neuromuscular disease. Super oxide dismutase 1 (SOD1) gene mutations cause ALS, and the D90A mutation is associated with primarily upper motor neuron (UMN) loss. Objective Our goal is to reveal the early cellular events in ALS pathology and identify potential pharmacokinetic biomarkers, using well ...
Mukesh Gautam, Ali Laith, Aslihan Gunel, Melda Yilmaz, Nazli Basak, Halil Idrisoglu, P. Hande Ozdinler   +6 more
wiley   +1 more source

Correction: Detecting narwhal foraging behaviour from accelerometer and depth data using mixed-effects logistic regression

Animal Biotelemetry, 2023
Frederik H. Jensen, Outi M. Tervo, Mads Peter Heide-Jørgensen, Susanne Ditlevsen   +3 more
doaj   +1 more source

Genomic Imprinting and Physiological Processes in Mammals

Cell, 2019
V. Tucci, A. Isles, G. Kelsey, A. Ferguson-Smith, M. Bartolomei, N. Benvenisty, D. Bourc’his, M. Charalambous, C. Dulac, R. Feil, J. Glaser, Lisa Huelsmann, R. John, G. McNamara, K. Moorwood, F. Muscatelli, H. Sasaki, B. Strassmann, C. Vincenz, J. Wilkins   +19 more
semanticscholar   +1 more source

Zoonoses Animal and Human Diseases Endo and Ectoparasites Mainly Mammal I [PDF]

, 2011
C. A. Spinage
openalex   +1 more source

The origin of mammals [PDF]

American Journal of Science, 1898
openaire   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source

Basic Trends of Game Mammal Population Dynamics in the Russian Middle Amur River Area: The Observation and Simulation Results [PDF]

, 2015
E. Ya. Frisman, O.L. Revutskaya, G. P. Neverova   +2 more
openalex   +1 more source