Results 61 to 70 of about 101,283 (263)

Autophagy and mitophagy in pancreatic β‐cell homeostasis and their involvement in diabetes pathophysiology

open access: yesFEBS Letters, EarlyView.
This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee   +2 more
wiley   +1 more source

Golgi enzymes are retrieved from the plasma membrane to the trans‐Golgi network

open access: yesFEBS Letters, EarlyView.
Golgi enzymes are traditionally considered resident proteins retained within the Golgi apparatus. Here, we demonstrate that a subset transiently reaches the cell surface and is subsequently retrieved to the trans‐Golgi network via retrograde transport. Using a nanobody‐based toolkit, we uncover a dynamic trafficking cycle of several Golgi enzymes.
Dominik P. Buser, Tina Junne
wiley   +1 more source

Relative Entropy and PageRank-Based Classifier Chains for Multi-Label Classification

open access: yesIEEE Access
The Classifier Chains (CC) method is an effective method for multi-label classification, with its performance significantly contingent on the label order.
Xinyu Li, Jiaman Ding, Shuang Hu
doaj   +1 more source

Partial depletion of plasminogen activator inhibitor‐1 decreases subcutaneous fat cell hypertrophy and liver cholesterol in high‐fat‐fed female mice

open access: yesFEBS Letters, EarlyView.
Obesity raises blood levels of PAI‐1, a protein linked to metabolic dysfunction‐associated steatotic liver disease in people with obesity. In female mice fed a high‐fat diet, partially lowering PAI‐1 led to smaller subcutaneous fat cells and lower liver cholesterol, without changing body weight or insulin sensitivity.
Claudia E. Ramirez Bustamante   +10 more
wiley   +1 more source

Multi-View Multi-Label Learning With View-Label-Specific Features

open access: yesIEEE Access, 2019
In multi-view multi-label learning, each object is represented by multiple data views, and belongs to multiple class labels simultaneously. Generally, all the data views have a contribution to the multi-label learning task, but their contributions are ...
Jun Huang   +5 more
doaj   +1 more source

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

open access: yesFEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri   +5 more
wiley   +1 more source

Federated Contrastive Graph Attention Neural Network With Correlation Embedding for Noisy Multi-Label Classification

open access: yesIEEE Access
Multi-label image classification in privacy-sensitive domains faces several challenges, particularly in multi-label electricity scene classification tasks where equipment wear and similar factors introduce label noise.
Lei Zhong   +6 more
doaj   +1 more source

Label correlation for partial label learning

open access: yesJournal of Systems Engineering and Electronics, 2022
Lingchi Ge, Min Fang, Haikun Li, Bo Chen
openaire   +1 more source

Functional comparison of EncB and EncC cargo proteins in iron storage within the Myxococcus xanthus encapsulin

open access: yesFEBS Letters, EarlyView.
Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell   +2 more
wiley   +1 more source

Label-Specific Feature Learning for Partial Multi-Label Classification With Positive and Negative Correlation Modeling

open access: yesIEEE Access
Traditional multi-label learning methods are often based on the premise of accurate annotations and known label correlations. However, data sets in real-world scenarios typically involve large scales, complex semantics and structural uncertainty, where ...
Chuanbo Huang, Rongyi Shi
doaj   +1 more source

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