Results 161 to 170 of about 64,253 (284)

Programming Next‐Generation Synthetic Biosensors by Genetic Circuit Design

Advanced Science, EarlyView.
Synthetic biology enables genetic circuit‐based biosensing to detect diverse targets, process signals, and transduce them into readable outputs or intracellular regulatory activities. However, field deployment and real‐world application of such synthetic biosensors face considerable challenges in sensitivity, specificity, speed, stability, and ...
Yuanli Gao, Cheng Huang, Jiaxuan Deng, Lei Wang, Baojun Wang   +4 more
wiley   +1 more source

Myogenic Anti-Nucleolin Aptamer iSN04 Inhibits Proliferation and Promotes Differentiation of Vascular Smooth Muscle Cells [PDF]

Mana Miyoshi, Takeshi Shimosato, Tomohide Takaya   +2 more
openalex   +1 more source

Tri‐Layer Solid‐State Nanopore Arrays with Crosstalk Suppression for High‐Throughput, Femtomolar‐Level Biosensing

Advanced Science, EarlyView.
The critical pore spacing—approximately twenty times the pore radius—required to minimize electric field coupling is determined via finite element analysis. A multi‐layered Al2O3/Au/Si3N4 nanopore structure fabricated by helium ion beam lithography is proposed, enabling quantitative analysis of the target analyte while mitigating inter‐pore crosstalk ...
Silu Feng, Qinglong Luo, Siqi Ai, Suiwei Shen, Chengyong Wang, Zhishan Yuan   +5 more
wiley   +1 more source

Aptamer [PDF]

, 2020
openaire   +2 more sources

Ligand-Induced Folding in a Dopamine-Binding DNA Aptamer [PDF]

Yunus A. Kaiyum, Hoi Pui Chao Emily, Minh‐Dat Nguyen, Cameron D. Mackereth, Philippe Dauphin‐Ducharme, Philip E. Johnson   +5 more
openalex   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Characterisation of aptamer–target interactions by branched selection and high-throughput sequencing of SELEX pools [PDF]

, 2015
Daniel M. Dupont, Niels Larsen, Jan K. Jensen, Peter A. Andreasen, Jørgen Kjems   +4 more
openalex   +1 more source

Machine Learning‐Assisted Infectious Disease Detection in Low‐Income Areas: Toward Rapid Triage of Dengue and Zika Virus Using Open‐Source Hardware

Advanced Intelligent Discovery, EarlyView.
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki, Bassam Bachour Junior, Marcelo Mulato, José Ilton de Oliveira Filho   +3 more
wiley   +1 more source

Decision letter for "<scp>Anti‐EpCAM RNA</scp> aptamer‐conjugated liposomal doxorubicin as an efficient targeted therapy in mice bearing colon carcinoma tumor model"

, 2020

openalex   +1 more source

Back Again to the Future: A New Era for Cerebroprotection

Annals of Neurology, EarlyView.
Cerebroprotection is a fresh framework for designing neurological therapy that targets glia and vascular cells, in addition to neurons. In the future, successful cerebroprotection will involve targeting all elements of the neurovascular unit. Preclinical trials must include functional outcomes, as well as lesion morphometry.
Patrick Lyden
wiley   +1 more source