Results 221 to 230 of about 4,581,706 (333)
A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira+14 more
wiley +1 more source
This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian+10 more
wiley +1 more source
Supporting rapid innovation in research data capture and management: the REDCap external module framework. [PDF]
Cheng AC+8 more
europepmc +1 more source
Process Driven Architecture: A Model Driven Development Approach for Process Support Software
Sascha Müller+2 more
openalex +1 more source
Possible role of human ribonuclease dicer in the regulation of R loops
R loops play an important role in regulating key cellular processes such as replication, transcription, centromere stabilization, or control of telomere length. However, the unscheduled accumulation of R loops can cause many diseases, including cancer, and neurodegenerative or inflammatory disorders. Interestingly, accumulating data indicate a possible
Klaudia Wojcik+2 more
wiley +1 more source
How We Built Workplace Based Assessment-for-Learning in Irish GP Training. [PDF]
Hanley K+4 more
europepmc +1 more source
In the blood–testis barrier, occludin is crucial for tight junctions. This study demonstrates that occludin‐targeting short peptides disrupt junction integrity, inducing immune cell infiltration, tumor necrosis factor‐α/interleukin‐6 secretion and mitochondrial dysfunction, ultimately triggering apoptosis.
Heng Wang, Xiaofang Tan, Deyu Chen
wiley +1 more source
United States Food and Drug Administration Regulation of Clinical Software in the Era of Artificial Intelligence and Machine Learning. [PDF]
Singh V, Cheng S, Kwan AC, Ebinger J.
europepmc +1 more source
A REQUIREMENTS ENGINEERING PROCESS MODEL FOR DISTRIBUTED SOFTWARE DEVELOPMENT - Lessons Learned
Leandro Lopes, Jorge Luis Nicolas Audy
openalex +1 more source