Results 261 to 270 of about 2,222,500 (385)
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
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
Diverse thioether macrocyclized peptides through a radical SAM maturase. [PDF]
Eastman KAS, Roberts AG, Bandarian V.
europepmc +1 more source
Probing the anion binding promiscuity of the soluble nitrate sensor NreA from Staphylococcus carnosus. [PDF]
Ji K+9 more
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
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
Modification of the Qualitative Procedure for Lead [PDF]
Roberts, Edwin, Roberts, L. B.
core +2 more sources
Corrigendum: Computational analysis of Ayurvedic metabolites for potential treatment of drug-resistant <i>Candida auris</i>. [PDF]
Shah M+10 more
europepmc +1 more source