Study of interaction between different solvents and neurotransmitters dopamine, l-adrenaline, and l-noradrenaline using LED, QTAIM and AIMD
In this research article, we report the computational solvation studies of three
neurotransmitters dopamine, l-adrenaline, and l-noradrenaline are generally active …
neurotransmitters dopamine, l-adrenaline, and l-noradrenaline are generally active …
Chiral MoSe2 Nanoparticles for Ultrasensitive Monitoring of Reactive Oxygen Species In Vivo
Reactive oxygen species (ROS) are involved in neurodegenerative diseases, cancer, and
acute hepatitis, and quantification of ROS is critical for the early diagnosis of these diseases …
acute hepatitis, and quantification of ROS is critical for the early diagnosis of these diseases …
Circadian clock disruption promotes the degeneration of dopaminergic neurons in male Drosophila
M Majcin Dorcikova, LC Duret, E Pottié… - Nature …, 2023 - nature.com
Sleep and circadian rhythm disruptions are frequent comorbidities of Parkinson's disease
(PD), a disorder characterized by the progressive loss of dopaminergic (DA) neurons in the …
(PD), a disorder characterized by the progressive loss of dopaminergic (DA) neurons in the …
An adult-stage transcriptional program for survival of serotonergic connectivity
Neurons must function for decades of life, but how these non-dividing cells are preserved is
poorly understood. Using mouse serotonin (5-HT) neurons as a model, we report an adult …
poorly understood. Using mouse serotonin (5-HT) neurons as a model, we report an adult …
[HTML][HTML] Engrailed 1 deficiency induces changes in ciliogenesis during human neuronal differentiation
S Hembach, S Schmidt, T Orschmann, I Burtscher… - Neurobiology of …, 2024 - Elsevier
A key pathological feature of Parkinson's Disease (PD) is the progressive degeneration of
dopaminergic neurons (DAns) in the substantia nigra pars compacta. Considering the major …
dopaminergic neurons (DAns) in the substantia nigra pars compacta. Considering the major …
Lysosomal TFEB‐TRPML1 Axis in Astrocytes Modulates Depressive‐like Behaviors
JW Mo, PL Kong, L Ding, J Fan, J Ren, CL Lu… - Advanced …, 2024 - Wiley Online Library
Lysosomes are important cellular structures for human health as centers for recycling,
signaling, metabolism and stress adaptation. However, the potential role of lysosomes in …
signaling, metabolism and stress adaptation. However, the potential role of lysosomes in …
Structural insights into the recognition of the A/T‐rich motif in target gene promoters by the LMX 1a homeobox domain
L Lin, J Deng, J Peng, J Cui, L Wang… - The FEBS …, 2024 - Wiley Online Library
LIM homeodomain transcription factor 1‐alpha (LMX1a) is a neuronal lineage‐specific
transcription activator that plays an essential role during the development of midbrain …
transcription activator that plays an essential role during the development of midbrain …
The utility and caveat of split-GAL4s in the study of neurodegeneration
L Stickley, R Koch, E Nagoshi - Fly, 2023 - Taylor & Francis
Parkinson's disease (PD) is the second most common neurodegenerative disorder, afflicting
over 1% of the population of age 60 y and above. The loss of dopaminergic (DA) neurons in …
over 1% of the population of age 60 y and above. The loss of dopaminergic (DA) neurons in …
The lncRNA lnc_AABR07044470. 1 promotes the mitochondrial-damaged inflammatory response to neuronal injury via miR-214-3p/PERM1 axis in acute ischemic …
M Wang, H Li, Y Qian, S Zhao, H Wang, Y Wang… - Molecular Biology …, 2024 - Springer
Purpose We investigated the role of lnc_AABR07044470. 1 on the occurrence and
development of acute ischemic stroke (AIS) and neuronal injury by targeting the miR-214 …
development of acute ischemic stroke (AIS) and neuronal injury by targeting the miR-214 …
Prediction Algorithm of DNA Sites Based on Weighted Feature Matrix
Z Liu, X Chen, D Li, X Lv, D Zhu… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
DNA sites can realize various biological functions and play an important role in many
biological activities. However, due to the complexity of feature extraction, feature learning is …
biological activities. However, due to the complexity of feature extraction, feature learning is …