Results 281 to 290 of about 7,544,346 (399)

Meta‐analysis fails to show any correlation between protein abundance and ubiquitination changes

FEBS Open Bio, EarlyView.
We analyzed over 50 published proteomics datasets to explore the relationship between protein levels and ubiquitination changes across multiple experimental conditions and biological systems. Although ubiquitination is often associated with protein degradation, our analysis shows that changes in ubiquitination do not globally correlate with changes in ...
Nerea Osinalde, Unai Alduntzin, Gorka Prieto, Ugo Mayor   +3 more
wiley   +1 more source

Cutaneous Melanoma Drives Metabolic Changes in the Aged Bone Marrow Immune Microenvironment

Aging and Cancer, EarlyView.
Melanoma, the deadliest form of skin cancer, increasingly affects older adults. Our study reveals that melanoma induces changes in iron and lipid levels in the bone marrow, impacting immune cell populations and increasing susceptibility to ferroptosis.
Alexis E. Carey, Murilo Ramos Rocha, Cheyenne Palm, Vania Wang, Denys Balandin, Ethan Black, Kevin Y. Zhang, Fan Huang, Daniel J. Zabransky, Yash Chhabra, Mareike Peters, Gabriel Ghiaur, Ashani Weeraratna   +12 more
wiley   +1 more source

Machine learning-based prediction of surface quality and tool performance in the grinding of inconel 800. [PDF]

Sci Rep
Menon RP, Abhishek K, Vishnu M, Kumar TS, Sumesh A, Ghadai RK, Kalita K.   +6 more
europepmc   +1 more source

The Aging Blood: Cellular Origins, Circulating Drivers, and Therapeutic Potential

Aging and Cancer, EarlyView.
As a conduit linking all organs, the blood system both reflects and actively drives systemic aging. This review highlights how circulating pro‐aging and antiaging factors and age‐associated hematopoietic stem cell dysfunction contribute to immunosenescence and multi‐organ decline, positioning the hematopoietic system as a target for aging intervention.
Hanqing He, Jianwei Wang
wiley   +1 more source

Comparative evaluation of dry, wet, and minimum quantity lubrication (MQL) cooling strategies in the machining of GTD-450 martensitic stainless steel. [PDF]

Sci Rep
Dastgerdi HM, Bakhshayesh AM, Saberi M, Hajaliakbari A, Davoodi B, Niknam SA.   +5 more
europepmc   +1 more source

Natural Products as Geroprotective Modulators in Diabetic Nephropathy: A Mechanistic Framework Integrating Aging Hallmarks and the AMPK–SIRT1–Nrf2 Axis

Aging and Cancer, EarlyView.
Natural products target the aging kidney in diabetic nephropathy by restoring the AMPK–SIRT1–Nrf2 axis, reducing oxidative stress, inflammation, fibrosis, and cellular senescence while enhancing mitochondrial biogenesis and antioxidant defenses.
Sherif Hamidu, Latif Adams, Eunice Ampem‐Danso, Justice Kumi, Abigail Aning, Fatima Hamidu, Mustapha Abdul Mumin Mohammed, Ayuba Nii Darku Ankrah, Seth Kwabena Amponsah   +8 more
wiley   +1 more source

Multi objective optimization of AWJM parameters for ZrO₂ coated MWCNTs reinforced HDPE nanocomposites using Taguchi Grey relational analysis. [PDF]

Sci Rep
Suhas K, Murthy BRN, Hiremath A, Hiremath P.   +3 more
europepmc   +1 more source

NR4A1 Exerts Pro‐Tumor Role in Glioblastoma via Inducing xCT/GPX4‐Regulated Ferroptosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Purpose This study investigates NR4A1's paradoxical roles in glioblastoma (GBM) progression, focusing on its mechanistic link to ferroptosis regulation. We aimed to resolve conflicting reports of NR4A1 as both an oncogene and a tumor suppressor by defining its transcriptional control over xCT/GPX4‐mediated iron homeostasis and its clinical ...
Peng Tao, Shikuan Din, Zhengkang Fu, Qian Sun, Xiwei Zhu, Yuxin Wei, Huan Qu, Xinyi Zhang, Jiaxuan Liu, Chuhua Fu, Qianxue Chen   +10 more
wiley   +1 more source

Health of peri-implant soft tissues adjacent to glazed or polished monolithic zirconia: a randomized clinical trial. [PDF]

J Adv Prosthodont
Segalla DB, Teixeira ER, Shinkai RSA.
europepmc   +1 more source

Effects of Coated Carbide Insert on Surface Finish of Multiple Hardened EN31 Alloy Steel Using Regression, ANN, and RSM

Shivaji Vithal Bhivsane, Arvind Chel, Siraj Sayyed   +2 more
openalex   +1 more source