Results 151 to 160 of about 68,518 (300)
E3 ubiquitin ligases in signaling, disease, and therapeutics. [PDF]
Ebadi P, Stratton CM, Olsen SK.
europepmc +1 more source
Based on a dermis fibroblast Gorab knockout mouse model, this study revealed that Gorab deficiency promotes skin aging by influencing RCHY1, causing a decrease in P53 ubiquitination, damaging the activity of HDAC2, further resulting in the accumulation of aging‐related proteins (P53, P21, P16) and a reduction in extracellular matrix (ECM) components ...
Yanhong Li +7 more
wiley +1 more source
E3 Ubiquitin Ligases and Asthma Relief. [PDF]
Nayak AP.
europepmc +1 more source
Objective Biallelic variants in PRKN cause autosomal recessive Parkinson's disease (PD) with a median age at onset of 31 years. When evaluating the 16 previously published carriers of a homozygous deletion of Exon 2 from the International Parkinson's Disease and Movement Disorder Society Gene Database (MDSGene) database, the median age at onset is ...
Arian Hach +14 more
wiley +1 more source
Roles of E3 ubiquitin ligases and deubiquitinating enzymes in renal cell carcinoma. [PDF]
Jiang M +5 more
europepmc +1 more source
Basic research on the PEDV infection cycle and virus–host interactions advances the development of anti‐PEDV drugs and disease‐resistant breeding and helps strengthen disease prevention and control while reducing economic losses in the swine industry.
Heyong Wu +8 more
wiley +1 more source
TULP4, a novel E3 ligase gene, participates in neuronal migration as a candidate in schizophrenia
Mutations identified from four SCZ pedigrees resulted in decreased TULP4 expression. Tulp4 knockdown caused delayed neuron migration in embryonic mice, and impaired cognition and prepulse inhibition in adult mice. These phenotypes may be related to TULP4 through its involvement in the formation of a novel E3 ubiquitin ligases.
Yan Bi +19 more
wiley +1 more source
E3 Ubiquitin Ligases: Structures, Biological Functions, Diseases, and Therapy. [PDF]
Wang H +6 more
europepmc +1 more source
Objective Proteome‐wide risk models for lupus remain underexplored. We developed classification models to identify lupus from serum proteomic profiles. Methods Patients with lupus and individuals with other autoimmune diseases in the UK Biobank were included.
Mehmet Hocaoǧlu +2 more
wiley +1 more source

