Ubiquitination of transcription factors in cancer: unveiling therapeutic potential
In cancer, dysregulated ubiquitination of transcription factors contributes to the uncontrolled growth and survival characteristics of tumors. Tumor suppressors are degraded by aberrant ubiquitination, or oncogenic transcription factors gain stability through ubiquitination, thereby promoting tumorigenesis.
Dongha Kim, Hye Jin Nam, Sung Hee Baek
wiley +1 more source
Enhanced Environmental Disinfection [PDF]
Anderson, Deverick J, MD, MPH, FIDSA, FSHEA
core +1 more source
Iron concentration in deep gray matter structures is associated with worse visual memory performance in healthy young adults [PDF]
Altbäcker, Anna+17 more
core +2 more sources
Peripheral Geographic District and Low Socioeconomic Status Are Associated With Decreased Access to Biologics in Patients With Rheumatoid Arthritis. [PDF]
Hassan F+6 more
europepmc +1 more source
Targeted protein degradation in oncology: novel therapeutic opportunity for solid tumours?
Current anticancer therapies are limited by the occurrence of resistance and undruggability of most proteins. Targeted protein degraders are novel, promising agents that trigger the selective degradation of previously undruggable proteins through the recruitment of the ubiquitin–proteasome machinery. Their mechanism of action raises exciting challenges,
Noé Herbel, Sophie Postel‐Vinay
wiley +1 more source
Chronic inflammation in the etiology of disease across the life span
David Furman+19 more
semanticscholar +1 more source
The case for including proteomics in routine diagnostic practice for rare disease. [PDF]
McCormick EM.
europepmc +1 more source
Nuclear prothymosin α inhibits epithelial‐mesenchymal transition (EMT) in lung cancer by increasing Smad7 acetylation and competing with Smad2 for binding to SNAI1, TWIST1, and ZEB1 promoters. In early‐stage cancer, ProT suppresses TGF‐β‐induced EMT, while its loss in the nucleus in late‐stage cancer leads to enhanced EMT and poor prognosis.
Liyun Chen+12 more
wiley +1 more source
A. Hughes+5 more
semanticscholar +1 more source
Unveiling the potential of artificial intelligence in revolutionizing disease diagnosis and prediction: a comprehensive review of machine learning and deep learning approaches. [PDF]
Sadr H+11 more
europepmc +1 more source