Results 231 to 240 of about 15,477,488 (341)
Deep learning-based cell type profiles reveal signatures of Alzheimer's disease resilience and resistance. [PDF]
Berson E +13 more
europepmc +1 more source
AZD9291 has shown promise in targeted cancer therapy but is limited by resistance. In this study, we employed metabolic labeling and LC–MS/MS to profile time‐resolved nascent protein perturbations, allowing dynamic tracking of drug‐responsive proteins. We demonstrated that increased NNMT expression is associated with drug resistance, highlighting NNMT ...
Zhanwu Hou +5 more
wiley +1 more source
Comparative genomic analysis of Mycoplasma pneumoniae isolated in the United Kingdom, between 2016 and 2024. [PDF]
Tewolde R +9 more
europepmc +1 more source
PARP inhibitors are used to treat a small subset of prostate cancer patients. These studies reveal that PARP1 activity and expression are different between European American and African American prostate cancer tissue samples. Additionally, different PARP inhibitors cause unique and overlapping transcriptional changes, notably, p53 pathway upregulation.
Moriah L. Cunningham +21 more
wiley +1 more source
Using graph theory to flexibly construct patient journeys in linked healthcare data. [PDF]
Powell I +5 more
europepmc +1 more source
Decrypting cancer's spatial code: from single cells to tissue niches
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik +4 more
wiley +1 more source
HLA-DR MATCHING IN MULTICENTER, SINGLE-TYPING LABORATORY DATA
George Ayoub, Paul I. Terasaki
openalex +1 more source
Observations of successive CMEs and their successive Type II solar radio bursts in the corona. [PDF]
Vasanth V.
europepmc +1 more source
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan +9 more
wiley +1 more source
Complexity of algebraic implementations for abstract data types
Hartmut Ehrig, Bernd Mahr
openalex +1 more source

