Results 181 to 190 of about 294,785 (311)

Monoclonal Protein Spike Measurement [PDF]

, 2020
openaire   +1 more source

In Vivo Electrochemical Monitoring of Safinamide Pharmacokinetics in the Brain Explores Its Correlation With Vision‐Related Neuronal Activity

Advanced Science, EarlyView.
An electrochemical platform based on differential pulse amperometry enables real‐time, selective tracking of safinamide pharmacokinetics in the living brain with high spatiotemporal resolution. When integrated with electrophysiology, this approach reveals that drug‐induced suppression of vision‐related neuronal activity provides mechanistic insight ...
Xiaoke Nan, Chuqi Li, Qianhe Dai, Junlan Zhou, Lijiao Cao, Yuying Liu, Jinger Chen, Meiping Xiong, Yuhang Jiang, Xianchan Li   +9 more
wiley   +1 more source

Bilateral SERS‐Microneedle Patch for Co‐Diagnosis of Diabetes Mellitus and Tuberculosis Comorbidity

Advanced Science, EarlyView.
Our study introduced a U@mP@Au‐mediated bilateral SERS‐microneedle patch for analyzing glucose levels from ISF and sensitively detecting TB biomarkers from sputum, respectively. This integrated dual‐analyte detecting platform can be used for co‐diagnosis of diabetes mellitus (DM) and tuberculosis (TB) comorbidity, which was demonstrated in ex vivo ...
Xueqin Huang, Lingzhi Chen, Jing Xu, Jiaqi Yu, Shanze Chen, Huaihong Cai, Yanguang Cong, Pinghua Sun, Jiang Pi, Lang Rao, Jierong Chen, Junxia Zheng, Haibo Zhou   +12 more
wiley   +1 more source

Integrated Opto–Biomechatronics For Single Muscle Fibre Structure‐Function Assessment: The MyoRobot 3.0

Advanced Science, EarlyView.
We present the MyoRobot 3.0, an advanced platform that combines high‐resolution imaging with automated mechanical testing to improve the accuracy of single muscle fibre analysis. The system tracks fibre diameter changes during stretch, preventing major stress miscalculations.
Michael Haug, Moritz Hellmann, Larysa Kovbasyuk, Maria Eleni Vazakidou, Milena Theis, Oliver Friedrich   +5 more
wiley   +1 more source

Expression of Deer Adenovirus Spike Protein [PDF]

Research Outline •Amplify the coding region of the spike protein by PCR using primer flanking the S protein coding region •Clone the coding region into PCR-TOPO 2.1 cloning vector •Re-clone the coding region into PET6XHN-N vector •Induce the spike ...
Duong, Dang
core   +1 more source

Electrochemical Detection of SARS-CoV‑2 Spike Protein: A Fast and Effective Pathway to Pandemic Diagnostics. [PDF]

ACS Omega
Jašňáková N, Shepa J, Šišoláková I, Shepa I, Oriňaková R.   +4 more
europepmc   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Epistasis and background dependence in the evolution of Omicron variants of the SARS-CoV-2 spike protein. [PDF]

Mol Biol Evol
Moulana A, Dupic T, Desai MM.
europepmc   +1 more source

Epitope‐Resolved Digital SERS Profiling of Structurally Dynamic Antigens via a Multi‐Epitope Bispecific Antibody Framework

Advanced Science, EarlyView.
A multi‐epitope digital surface‐enhanced Raman spectroscopy framework enables epitope‐resolved immunoprofiling by integrating bispecific antibody fragments with spectrally encoded nanotags. This approach decouples binding events into independent digital channels, allowing structure‐aware antigen analysis.
Jing Wang, Quan Zhou, Kym Lowry, Christopher B. Howard, Matt Trau   +4 more
wiley   +1 more source

PhosSight: A Unified Deep Learning Framework Boosting and Accelerating Phosphoproteome Identification to Enable Biological Discoveries

Advanced Science, EarlyView.
PhosSight is a unified deep‐learning framework for phosphoproteome identification, featured by a phosphorylation‐aware detectability predictor. It improves identification sensitivity in DDA through deep re‐localization and rescoring, accelerates DIA searches by detectability‐guided spectral library pruning, and expands phosphoproteome coverage to ...
Ben Wang, Zhiyuan Cheng, Chengying She, Hongwei Zhao, Jiahui Zhang, Lin Lv, Zhihao Yan, Hongwen Zhu, Lizhuang Liu, Yan Fu, Xinpei Yi   +10 more
wiley   +1 more source