Results 231 to 240 of about 6,732,438 (327)
Chemical composition of ferromanganese crusts in the world ocean: a review and comprehensive database [PDF]
Frank T. Manheim+1 more
openalex +1 more source
BCS1L‐Associated Disease: 5′‐UTR Variant Shifts the Phenotype Towards Axonal Neuropathy
ABSTRACT Objectives To investigate the consequences of a pathogenic missense variant (c.838C>T; p.L280F) and a 5′‐UTR regulatory variant (c.‐122G>T) in BCS1L on disease pathogenesis and to understand how regulatory variants influence disease severity and clinical presentation.
Rotem Orbach+11 more
wiley +1 more source
BeeFunc, a comprehensive trait database for French bees. [PDF]
Aubouin L+6 more
europepmc +1 more source
ABSTRACT Background Sphingosine‐1‐phosphate receptor modulators (S1PRM) are used to treat relapsing multiple sclerosis (MS). Each drug has a different S1PR‐subtype selectivity. They target the G‐protein coupled S1P receptors and exert significant immunomodulatory effects, such as preventing the formation of new CNS lesions and the reactivation of pre ...
Faizan Shahzad+8 more
wiley +1 more source
Mechanistic insights into the effects of Tris-2-butoxyethyl phosphate on multiple cancers using network toxicology and molecular docking. [PDF]
Lu H+6 more
europepmc +1 more source
ABSTRACT Objective Malignant gliomas pose significant therapeutic challenges. This study aimed to identify and characterize a novel chimeric RNA in glioma and assess its clinical and functional significance for precision treatment. Methods The C19orf47‐AKT2 chimeric RNAs were identified through RNA sequencing and validated by polymerase chain reaction.
Zihan Wang+11 more
wiley +1 more source
SCENE: Signature Collection for Endometrial Cancer Prognosis. [PDF]
Dugo E+4 more
europepmc +1 more source
Medical big data value creation: Role of the hospital-based research database
Yen-Yun Yang, Yi-Chen Juan, Yi-Chia Lee
doaj
A Validated Model to Predict Severe Weight Loss in Amyotrophic Lateral Sclerosis
ABSTRACT Severe weight loss in amyotrophic lateral sclerosis (ALS) is common, multifactorial, and associated with shortened survival. Using longitudinal weight data from over 6000 patients with ALS across three cohorts, we built an accelerated failure time model to predict the risk of future severe (≥ 10%) weight loss using five single‐timepoint ...
David G. Lester+4 more
wiley +1 more source