Chloroquine (CQ) is an old antimalarial drug currently being investigated for its anti-tumor properties. As chloroquine has been shown to inhibits several potassium channels, we decided to study its effect on the tumor-related Kv10.1 channel by using patch-clamp electrophysiology and cell migration assays. We found that chloroquine inhibited Kv10.1 channels transiently expressed in HEK-293 cells in a concentration- and voltage-dependent manner acting from the cytoplasmic side of the plasma membrane. Chloroquine also inhibited the outward potassium currents from MDA-MB-231 cells, which are mainly carried through Kv10.1 channels as was confirmed using astemizole. Additionally, chloroquine decreased MDA-MB-231 cell migration in the in vitro scratch wound healing assay. In conclusion, our data suggest that chloroquine decreases MDA-MB-231 cell migration by inhibiting Kv10.1 channels. The inhibition of Kv10.1 channels could represent another mechanism of the antitumoral action of chloroquine, besides autophagy inhibition and tumor vessel normalization.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.ejphar.2019.05.017 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
On Security Performance of SWIPT Multi-User Jamming Based on Mixed RF/FSO Systems with Untrusted Relay.
Sensors (Basel)
December 2024
Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, College of Information Engineering, China Jiliang University, Hangzhou 310018, China.
This paper presents research on the security performance of a multi-user interference-based mixed RF/FSO system based on SWIPT untrusted relay. In this work, the RF and FSO channels experience Nakagami-m fading distribution and Málaga (M) turbulence, respectively. Multiple users transmit messages to the destination with the help of multiple cooperating relays, one of which may become an untrusted relay as an insider attacker.
View Article and Find Full Text PDFMitigating Data Leakage in a WiFi CSI Benchmark for Human Action Recognition.
Sensors (Basel)
December 2024
Nokia Bell Labs, 1082 Budapest, Hungary.
Human action recognition using WiFi channel state information (CSI) has gained attention due to its non-intrusive nature and potential applications in healthcare, smart environments, and security. However, the reliability of methods developed for CSI-based action recognition is often contingent on the quality of the datasets and evaluation protocols used. In this paper, we uncovered a critical data leakage issue, which arises from improper data partitioning, in a widely used WiFi CSI benchmark dataset.
View Article and Find Full Text PDFUAV Trajectory Control and Power Optimization for Low-Latency C-V2X Communications in a Federated Learning Environment.
Sensors (Basel)
December 2024
Department of Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON M5B2K3, Canada.
Unmanned aerial vehicle (UAV)-enabled vehicular communications in the sixth generation (6G) are characterized by line-of-sight (LoS) and dynamically varying channel conditions. However, the presence of obstacles in the LoS path leads to shadowed fading environments. In UAV-assisted cellular vehicle-to-everything (C-V2X) communication, vehicle and UAV mobility and shadowing adversely impact latency and throughput.
View Article and Find Full Text PDFDSiam-CnK: A CBAM- and KCF-Enabled Deep Siamese Region Proposal Network for Human Tracking in Dynamic and Occluded Scenes.
Sensors (Basel)
December 2024
Shanghai Research Institute of Microelectronics, Peking University, Shanghai 201203, China.
Despite the accuracy and robustness attained in the field of object tracking, algorithms based on Siamese neural networks often over-rely on information from the initial frame, neglecting necessary updates to the template; furthermore, in prolonged tracking situations, such methodologies encounter challenges in efficiently addressing issues such as complete occlusion or instances where the target exits the frame. To tackle these issues, this study enhances the SiamRPN algorithm by integrating the convolutional block attention module (CBAM), which enhances spatial channel attention. Additionally, it integrates the kernelized correlation filters (KCFs) for enhanced feature template representation.
View Article and Find Full Text PDFWavelet-Driven Multi-Band Feature Fusion for RGB-T Salient Object Detection.
Sensors (Basel)
December 2024
School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, China.
RGB-T salient object detection (SOD) has received considerable attention in the field of computer vision. Although existing methods have achieved notable detection performance in certain scenarios, challenges remain. Many methods fail to fully utilize high-frequency and low-frequency features during information interaction among different scale features, limiting detection performance.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!