Results 231 to 240 of about 869,216 (289)

LMO7 Suppresses Tumor‐Associated Macrophage Phagocytosis of Tumor Cells Through Degradation of LRP1

Advanced Science, EarlyView.
LMO7 in tumor‐associated macrophages suppresses phagocytosis of tumor cells and limits cytotoxic T lymphocytes infiltration, fostering tumor progression. Mechanistically, LMO7 mediates the ubiquitination and degradation of the phagocytic receptor LRP1, impairing its ability to engulf tumor cells and driving macrophages toward an antitumor phenotype ...
Mengkai Li, Tao Wang, Yuwen Zhong, Zhiming Wang, Wei Li, Zejian Wang, Xinyi Yang, Yu Qiao, Jianfeng Xiang, Wei Gu, Zishu Wang, Lei Sun, Feng Qian   +12 more
wiley   +1 more source

B4GALNT4‐Mediated Glycosylation of PDK1 Activates the PI3K‐AKT Signaling Pathway to Promote Prostate Cancer Progression

Advanced Science, EarlyView.
This study identifies B4GALNT4 as a key driver of prostate cancer (PCa). It shows that B4GALNT4 glycosylates PDK1 protein at the N531 site, which stabilizes the PDK1 and constitutively activates the PI3K‐AKT pathway. This mechanism promotes tumor cell proliferation, migration, and invasion. The findings establish the B4GALNT4‐PDK1 glycosylation axis as
Shaoqin Jiang, Mengqiang Li, Qingfu Su, Ruiling Dou, Shaoshan Lin, Jili Zhang, Xiaochen Sun, Haolan Yu, Wei Bao, Min Qu, Yan Wang, Chenghua Yang, Xu Gao   +12 more
wiley   +1 more source

Cellular Snowballing: Cell Adhesion and Migration Drive the Self‐Assembly of Cell‐Microgel Biohybrid Spheroids

Advanced Science, EarlyView.
A new class of biohybrid spheroids is engineered through the self‐assembly of adherent cells and extracellular matrix‐mimetic hydrogel microparticles (microgels). By mimicking a snowballing effect, this approach enables scalable formation of porous, millimeter‐scale spheroids with enhanced cell viability and molecular diffusion.
Zaman Ataie, Sina Kheirabadi, Changhao Li, Aneesh Risbud, Aswathy Sebastian, Istvan Albert, Sulin Zhang, Amir Sheikhi   +7 more
wiley   +1 more source

Aberrant SUMOylation Restricts the Targetable Cancer Immunopeptidome

Advanced Science, EarlyView.
Pharmacological SUMOylation inhibition (SUMOi) counteracts tumor immune evasion by unmasking an immunogenic HLA‐I peptide and neoepitope repertoire. By restoring HLA‐I ligand availability through increased antigen processing and presentation, enhanced proteasomal cleavage, and modulated TAP1 peptide affinity, SUMOi boosts tumor immunogenicity ...
Uta M. Demel, Anna Meurer, Badeel Kh. Q. Zaghla, Bilge Atay, Daniel Steiert, Luca V. Hummel, Konstandina Isaakidis, Chuanbing Zang, Michael Korenkov, Marlon Schielin, Schayan Yousefian, Shima Mecklenbräuker, Marieluise Kirchner, Simon Haas, Antonia Busse, Philipp Mertins, Stefan Müller, Matthias Wirth, Martin G. Klatt, Ulrich Keller   +19 more
wiley   +1 more source

Magnetocaloric effect modeling of dysprosium-transition metal based intermetallic alloys for magnetic refrigeration application using hybrid genetic algorithm based support vector regression intelligent method. [PDF]

PLoS One
Ibn Shamsah SM.
europepmc   +1 more source

Versatile CRISPR‐Cas Tools for Gene Regulation in Zebrafish via an Enhanced Q Binary System

Advanced Science, EarlyView.
This study introduces CRISPR‐Q, a transgenic CRISPR‐Cas system leveraging the QFvpr/QUAS binary expression platform in zebrafish. CRISPR‐Q overcomes previous challenges in achieving stable and efficient gene regulation. By enabling precise spatiotemporal control of transcript knockdown (CRISPR‐QKD) and gene activation (CRISPR‐Qa), it provides a ...
Miaoyuan Shi, Weiqi Ge, Changheng Li, Bin Liu, Xiaoyi Deng, Chengjie Liu, Meijun Zheng, Pu Zhang, Lei Li, Ying Guo, Yunqi Han, Yu Yang, Yanxun V. Yu, Youngnam N. Jin   +13 more
wiley   +1 more source

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Robust regression using support vector regressions

Chaos, Solitons & Fractals, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sabzekar, Mostafa, Hasheminejad, Seyed Mohammad Hossein   +1 more
openaire   +1 more source

Active Set Support Vector Regression

IEEE Transactions on Neural Networks, 2004
This paper presents active set support vector regression (ASVR), a new active set strategy to solve a straightforward reformulation of the standard support vector regression problem. This new algorithm is based on the successful ASVM algorithm for classification problems, and consists of solving a finite number of linear equations with a typically ...
David R, Musicant, Alexander, Feinberg
openaire   +2 more sources

Nonparallel Support Vector Ordinal Regression

IEEE Transactions on Cybernetics, 2017
Ordinal regression is a supervised learning problem where training samples are labeled by an ordinal scale. The ordering relation and nonmetric property of the label set distinguish it from the multiclass classification and metric regression. To better exploit the inherent structure in the label and benefit from the hidden information in data ...
Huadong Wang, Yong Shi, Lingfeng Niu, Yingjie Tian   +3 more
openaire   +2 more sources

Multi-scale Support Vector Regression

The 2010 International Joint Conference on Neural Networks (IJCNN), 2010
A multi-kernel Support Vector Machine model, called Hierarchical Support Vector Regression (HSVR), is proposed here. This is a self-organizing (by growing) multiscale version of a Support Vector Regression (SVR) model. It is constituted of hierarchical layers, each containing a standard SVR with Gaussian kernel, at decreasing scales.
S. Ferrari, F. Bellocchio, V. Piuri, N.A. Borghese   +3 more
openaire   +1 more source