Results 271 to 280 of about 406,491 (336)

Bioactive Natural Compounds in Triple-Negative Breast Cancer: Molecular Targets and Therapeutic Perspectives. [PDF]

open access: yesPharmaceuticals (Basel)
Jiménez-Flores E   +7 more
europepmc   +1 more source

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

open access: yesAdvanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu   +5 more
wiley   +1 more source

Stage‐Specific H3K14 and H3K23 Succinylation Orchestrates Insect Metamorphosis and Oogenesis

open access: yesAdvanced Science, EarlyView.
Stage‐specific succinylation of histone H3 at lysine 14 and 23 differentially controls insect metamorphosis and oogenesis through distinct GPCR‐PKC signaling cascades, revealing an evolutionarily conserved epigenetic mechanism that coordinates key life‐history traits.
Yu‐Pu Jing   +9 more
wiley   +1 more source

CMV seropositivity associates with poor clinical outcome in triple negative breast cancer. [PDF]

open access: yesiScience
Seban RD   +23 more
europepmc   +1 more source

Balancing Stealth and Targetability: cCPP‐ and PEG‐Modified Liposomes for the Targeted Delivery of Anti‐HER2 Nanobodies

open access: yesAdvanced Science, EarlyView.
This study addresses the rapid renal clearance of anti‐HER2 nanobodies by developing specialized liposomal carriers. It details the formulation of dual modified liposomes, demonstrating how PEGylation preserves structural integrity and cell‐penetrating peptides enhance cellular interaction.
Giulia Pander   +14 more
wiley   +1 more source

Management Options in Triple-Negative Breast Cancer

open access: yesBreast Cancer: Basic and Clinical Research, 2011
Christina A. Minami   +2 more
doaj  

T‐Cell Exhaustion in the Tumor Microenvironment: Subcellular Dysfunction, Pan‐Cancer Characteristics, and Therapeutic Interventions

open access: yesAdvanced Science, EarlyView.
This study elucidates the mechanisms of subcellular multidimensional collapse in exhausted T cells. By specifically targeting the nucleus, mitochondria, and endoplasmic reticulum, strategic interventions can effectively remodel the compromised organelle network. This integrated approach drives comprehensive T cell resuscitation, ultimately establishing
Mingxing Wang   +9 more
wiley   +1 more source

Transcriptional repression of TGFB2-AS1 by GATA6 drives triple-negative breast cancer metastasis. [PDF]

open access: yesCell Oncol (Dordr)
Liu C   +10 more
europepmc   +1 more source

Mechanism‐Informed Machine Learning Enables Discovery of Oncolytic Peptides for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
MISPOP integrates ensemble learning with membrane‐active physicochemical priors to identify Dermaseptin‐S9, a natural oncolytic peptide that disrupts tumor membranes, triggers immunogenic cell death, and shows strong antitumor activity. The study illustrates a mechanism‐informed route from peptide sequence data to cancer immunotherapy leads.
Wen Zhang   +11 more
wiley   +1 more source

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