Results 261 to 270 of about 23,988,249 (380)
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
A qualitative analysis of the information science needs of public health researchers in an academic setting. [PDF]
Hunt SL, Bakker CJ.
europepmc +1 more source
Single‐cell transcriptomics of prostate cancer patient‐derived xenografts reveals distinct features of neuroendocrine (NE) subtypes. Tumours with focal NE differentiation (NED) share transcriptional programmes with adenocarcinoma, differing from large and small cell neuroendocrine prostate cancer (NEPC). Our work defines the molecular landscape of NEPC,
Rosalia Quezada Urban+12 more
wiley +1 more source
Emerging roles of health information professionals for library and information science curriculum development: a scoping review. [PDF]
Ma J, Stahl L, Knotts E.
europepmc +1 more source
Ratings of Journals by ARL Library Directors and Deans of Library and Information Science Schools
David F. Kohl, Charles H. Davis
openalex +2 more sources
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
A Practical Guide for Information Retrieval on Biology and Life Science
Kei YAMANAKA
openalex +4 more sources
International Association of Aquatic and Marine Science Libraries and Information Centers
core
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