Results 171 to 180 of about 40,844,823 (304)

Type I interferons modulate autophagy to shape gemcitabine response in pancreatic cancer cells

FEBS Open Bio, EarlyView.
Type I interferons differentially modulate autophagy and the response of pancreatic cancer cells to gemcitabine. IFNα2b stimulates autophagic flux and protects cells from gemcitabine‐induced cell death, contributing to chemoresistance. In contrast, IFNβ1a inhibits autophagosome formation and enhances gemcitabine‐induced cell death, resulting in ...
Lucy E. Bonilla, Martín M. Ledesma, Santiago A. Behr, Matías A. Pibuel, María L. Palanek, Daniel H. Grasso, Maria N. Garcia, Juan Garona, Silvina L. Lompardía, Elida Álvarez, Daniela L. Papademetrio   +10 more
wiley   +1 more source

Selective elimination of quiescent cancer cells by dequalinium chloride via ROS‐mediated ferroptosis

FEBS Open Bio, EarlyView.
Dequalinium chloride (DQ) selectively eliminates quiescent cancer cells (QCCs) by amplifying mitochondrial ROS. QCCs exhibit elevated basal ROS and limited redox‐buffering capacity, making them vulnerable to further ROS increases. DQ‐induced ROS exceeds the tolerance threshold, triggering lipid peroxidation and ferroptosis, whereas proliferating cells ...
Kotaro Miyamoto, Shiori Sakai, Minori Endo, Terigele, Mizuho Niibori, Taiki Morita, Yu Goto, Arisa Yoshida, Tomohiro Tanaka, Ning Lin, Takahiro Kuchimaru, Hiroyuki Nakamura, Masahiro Inoue, Shinae Kizaka‐Kondoh, Tetsuya Kadonosono   +14 more
wiley   +1 more source

A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data. [PDF]

Health Data Sci
Sun C, Song M, Cai D, Zhang B, Li H, Hong S.   +5 more
europepmc   +1 more source

Using fluorescence fluctuation spectroscopy to quantify molecular dynamics within cells

FEBS Open Bio, EarlyView.
Microscopy techniques like fluorescence correlation spectroscopy (FCS) and number and brightness analysis (N&B) allow to quantify concentrations, diffusion rates, and oligomerization of fluorescently labeled molecules in the living cell. In this protocol the principles of how to set up these types of experiments are described including calibration ...
Mark A. Hink
wiley   +1 more source

Explainable deep learning for early sepsis detection from ICU time-series data using XAI techniques. [PDF]

Sci Rep
Mahmoud A, Abdelmoreed H, Amir H, Ehab M, Abdelfattah R, HadHoud M.   +5 more
europepmc   +1 more source

Ultrafast visual detection of Streptococcus suis via HtpsC‐targeted LAMP–CRISPR–Cas12a coupled with lateral flow immunochromatography

FEBS Open Bio, EarlyView.
A rapid visual test combines DNA amplification, CRISPR–based target verification, and a lateral flow strip to detect Streptococcus suis. The assay gives results in about 45 min, reduces false‐positive interpretation, and does not require fluorescence equipment.
Liu‐xin Li, Miao Xin, Xiao‐wen Cui, Shi‐yin Yu, Fei Meng, Min Cao, Xiao‐hui Xiong, Yi‐chen Lu   +7 more
wiley   +1 more source

Time Series Data Mining for Linking the Shape of Bacterial Growth Curves to Biological Functions. [PDF]

Comput Struct Biotechnol J
Lao Z, Ying BW.
europepmc   +1 more source

Design and evaluation of FEBS Education and Training Academy module – Integrating generative artificial intelligence into life‐science education

FEBS Open Bio, EarlyView.
Life‐science educators from 14 countries redesigned their own course materials with generative AI in a three‐session, pedagogy‐first FEBS Education and Training Academy workshop built on PICRAT. Among 12 matched respondents, four more reported high confidence in each of five practical domains, and 10 of 13 reported implementing at least one idea ...
Zvonimir Mlinarić, Ali Burak Özkaya
wiley   +1 more source

Journal of Time Series Analysis

During the last 30 years Time Series Analysis has become one of the most important and widely used branches of Mathematical Statistics. Its fields of application range from neurophysiology to astrophysics and it covers such well-known areas as economic ...
Cavaliere, Giuseppe
core  

Blue Noise-based Generative Models for the Imputation of Time-series Data. [PDF]

Int Conf Inf Sci Technol
Bishop G, Si T, Gong H.
europepmc   +1 more source