Results 91 to 100 of about 397,119 (307)
TMC4 localizes to multiple taste cell types in the mouse taste papillae
FEBS Open Bio, EarlyView.Transmembrane channel‐like 4 (TMC4), a voltage‐dependent chloride channel, plays a critical role in amiloride‐insensitive salty taste transduction. TMC4 is broadly expressed in all mature taste cell types, suggesting a possible involvement of multiple cell types in this pathway.
Momo Murata +6 more
wiley +1 more source
On the suitability of generalized regression neural networks for GNSS position time series prediction for geodetic applications in geodesy and geophysics [PDF]
, 2020 Mostafa Kiani Shahvandi
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FEBS Open Bio, EarlyView.CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point +7 more
wiley +1 more source
Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications
FEBS Open Bio, EarlyView.This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley +1 more source
FEBS Open Bio, EarlyView.Chemoresistance in bladder cancer: Macrophage recruitment associated with CXCL1, CXCL5 and CXCL8 expression is characteristic of Gemcitabine/Cisplatin (Gem/Cis) Non‐Responder tumors (right side) while Responder tumors did not show substantial tumor‐stromal crosstalk (left side). All biological icons are attributed to Bioicons: carcinoma, cancerous‐cell‐
Sophie Leypold +11 more
wiley +1 more source
On Prediction in Stationary Time Series
The Annals of Mathematical Statistics, 1948 In time series analysis there are two lines of approach, here called the functional and the stochastic. In the former case, the given time series is interpreted as a mathematical function, in the latter case as a random specimen out of a universe of mathematical functions. The close relation between the two approaches is in section 2 shown to amount to
openaire +2 more sources
FEBS Open Bio, EarlyView.ZFAS1 is a lncRNA promoting cell proliferation and migration, exhibiting high expression in various cancers. It is conserved, widely expressed, and produces multiple splice variants with unclear roles. We identified several splice variants in hepatocyte models, and found that inhibiting or suppressing regulators of the unfolded protein response (PERK ...
Sébastien Soubeyrand +2 more
wiley +1 more source
Performance Analysis of Time Series Deep Learning Models for Climate Prediction in Indoor Hydroponic Greenhouses at Different Time Intervals [PDF]
, 2023 Oybek Eraliev, Chul-Hee Lee
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BMI‐1 modulation and trafficking during M phase in diffuse intrinsic pontine glioma
FEBS Open Bio, EarlyView.The schematic illustrates BMI‐1 phosphorylation during M phase, which triggers its translocation from the nucleus to the cytoplasm. In cycling cells, BMI‐1 functions within the PRC1 complex to mediate H2A K119 monoubiquitination. Following PTC596‐induced M phase arrest, phosphorylated BMI‐1 dissociates from PRC1 and is exported to the cytoplasm via its
Banlanjo Umaru +6 more
wiley +1 more source
Explainable Deep Neural Networks for Multivariate Time Series Predictions [PDF]
, 2019 Roy Assaf, Anika Schumann
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