Results 211 to 220 of about 776,039 (330)
We generated and characterized clear cell renal cell carcinoma models using the patient‐derived RCC243 cell line—including cell culture, orthotopic, and metastatic tumors—via single‐cell RNA‐sequencing for comparisons between models and patient tumor datasets.
Richard Huang+9 more
wiley +1 more source
The evolutionary safety of mutagenic drugs should be assessed before drug approval. [PDF]
Lobinska G+4 more
europepmc +1 more source
Predictors of orphan drug approval in the European Union [PDF]
Harald E. Heemstra+4 more
openalex +1 more source
Liver‐specific knockout of N6‐methyladenosine (m6A) methyltransferase METTL3 significantly accelerated hepatic tumor initiation under various oncogenic challenges, contrary to the previously reported oncogenic role of METTL3 in liver cancer cell lines or xenograft models. Mechanistically, METTL3 deficiency reduced m6A deposition on Manf transcripts and
Bo Cui+15 more
wiley +1 more source
Accelerated Approval of Cancer Drugs: Improved Access to Therapeutic Breakthroughs or Early Release of Unsafe and Ineffective Drugs? [PDF]
Elizabeth A. Richey+19 more
openalex +1 more source
Cerebral organoids were employed as a novel model to explore the neurotoxicity of soman. Soman inhibited acetylcholinesterase activity, increased cell apoptosis and upregulated endoplasmic reticulum (ER) stress markers glucose‐regulated protein 78 (GRP78), activating transcription factor 6 (ATF6) and C/EBP homologous protein (CHOP).
Yue Wei+7 more
wiley +1 more source
Minimum requirements for approval of a drug in status epilepticus [PDF]
Michel Baulac, Vincent Navarro
openalex +1 more source
ICP34.5 is one of the most important antihost response proteins. The saRNA‐encoding HSV‐1 neurovirulence protein ICP34.5 clearly mediated the eukaryotic initiation factor 2 alpha subunit (eIF2α) dephosphorylation and significant suppression of innate immune responses in vitro, leading to enhanced expression of the saRNA‐encoded gene.
Xuemin Lu+6 more
wiley +1 more source
Machine Learning with Statistical Imputation for Predicting Drug Approval
Andrew W. Lo+2 more
doaj +1 more source
Federal Advisory Committees, Policy Expertise, and the Approval of Drugs and Medical Devices at the FDA [PDF]
Stéphane Lavertu, David L. Weimer
openalex +1 more source