Results 271 to 280 of about 598,756 (346)

RRP9 Promotes Esophageal Squamous Cell Carcinoma Progression through E2F1 Transcriptional Regulation of CDK1

open access: yesAdvanced Biology, EarlyView.
The study reveals that RRP9 is abnormally highly expressed in ESCC tissues and is closely associated with poor prognosis in patients. Furthermore, it is found that RRP9 promotes ESCC progression through enhancing the E2F1‐mediated transcriptional regulation of CDK1.
Gang He   +14 more
wiley   +1 more source

Systemic lupus erythematosus presenting with homonymous hemianopia

open access: yesRheumatology & Autoimmunity
Aliasghar Ebrahimi   +4 more
doaj   +1 more source

Infrared Neural Stimulation Elicits Distinct Molecular Pathways in Astrocytes Based on Laser Pulse Parameters

open access: yesAdvanced Biology, EarlyView.
Infrared (IR) light evokes distinct calcium and water transport responses in astrocytes, depending on stimulation duration and protocol. This study uses widefield imaging and pharmacology to reveal differential engagement of astroglial signaling pathways.
Wilson R. Adams   +7 more
wiley   +1 more source

A Spatially Resolved View on the Aging Substantia nigra: An Exploratory Proteomic Study

open access: yesAdvanced Biology, EarlyView.
Although aging is the most important risk factor for several neurodegenerative diseases, the molecular effects of physiological aging are still understudied. By applying spatially‐resolved proteomic analyses of the human substantia nigra pars compacta, alterations in vesicular trafficking and mitochondrial proteins are observed, as well as reduced ...
Britta Eggers   +10 more
wiley   +1 more source

The Expanding Genetic Architecture of Arteriopathies: From Canonical TAAD Genes to Emerging Connective Tissue and Signaling Pathways. [PDF]

open access: yesMed Sci (Basel)
Dreher L   +8 more
europepmc   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

open access: yesAdvanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani   +2 more
wiley   +1 more source

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