Results 181 to 190 of about 1,107,317 (288)
Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han +10 more
wiley +1 more source
Development, qualification, and application of a highly efficient and robust new peak detection workflow for the LC-MS peptide mapping multi-attribute method. [PDF]
Pohl T +14 more
europepmc +1 more source
This study identifies mutation‐intolerant genes (MIGs), which are mutationally constrained in tumors despite normal‐tissue variability. Using miDriver, the authors pinpoint MIGs essential for tumor‐intrinsic fitness and immune evasion. Focusing on CHEK1, they show it drives tumor fitness and sculpts an immunosuppressive niche via the MIF–CD74 axis ...
Tao Wang +16 more
wiley +1 more source
The annotated, chromosome-scale Salicornia depressa (American pickleweed) genome. [PDF]
Kimball-Rhines C +6 more
europepmc +1 more source
Reference/Information Services in Health Sciences Libraries
Sung - Eui Lee
openalex +2 more sources
A central molecular adaptor, ZSL, is identified that links transverse filaments ZYP1 to central element SCEP1/2 to drive synaptonemal complex assembly in Brassica napus. Loss of ZSL abolishes synaptonemal complex formation, disrupts meiotic chromosome segregation, and markedly increases crossovers, providing mechanistic insight into meiotic fidelity ...
Miaowei Geng +16 more
wiley +1 more source
The I's have it: everything needed to practice medical librarianship starts with an I. [PDF]
Shipman JP.
europepmc +1 more source
Adopting a bicultural stance over reference services in New Zealand libraries
Louise Williams
openalex +1 more source
Forecasting Root Rot Disease through Predictive Microbial Functional Profiling
Predicting soil‐borne disease moves beyond observation with a framework that elevates microbial functional genes into reliable forecasting biomarkers. By coupling targeted qPCR assays for core stress‐response genes with machine learning, this method detects root rot risks in pre‐symptomatic soils with over 80% accuracy.
Chuan You +11 more
wiley +1 more source

