Results 51 to 60 of about 10,558 (216)
Pharmacological chromatin remodeling enhances response to estrogen therapy in ER+ breast cancer
Estrogen therapy elicits clinical benefit in ~ 30% of patients with endocrine‐resistant estrogen receptor (ER)‐positive breast cancer. Based on findings that ER transcriptional activation underlies response to estrogen therapy, we tested the effects of epigenetic dysregulation via pharmacological inhibition of histone deacetylases (HDACi).
Anneka L. Johnson Thomas +16 more
wiley +1 more source
Gut microbiota alterations in patients with non‐small‐cell lung cancer undergoing chemoradiotherapy
We investigated the impact of concurrent chemoradiotherapy (CRT) on the gut microbiota in patients with locally advanced non‐small‐cell lung cancer. Overall gut microbiota composition remained largely stable throughout CRT while antibiotic exposure may influence microbial diversity.
Hanne Marte Nymoen +19 more
wiley +1 more source
During the requirements elicitation process, a group of analysts and stakeholders identify, capture, and integrate requirements. Textual or graphic descriptions capturing the most relevant concepts from the domain of a ...
Bell Manrique Losada +1 more
doaj +1 more source
Hyperosmotic stress triggers the relocation of the CFIm complex from the nucleus to the cytoplasm. This shift creates a nuclear ‘stoichiometric bottleneck’, limiting CFIm availability for mRNA processing. Consequently, specific mRNAs like NUDT21 and DICER1 undergo targeted 3′UTR shortening, demonstrating how spatial protein dynamics drive rapid ...
Hitomi Soumiya +2 more
wiley +1 more source
IGFBP4 knockdown (KD) impairs preadipocyte proliferation and is associated with IGF1R protein downregulation and attenuated AKT phosphorylation. The mechanisms by which IGFBP4 KD influences the IGF1R/AKT signaling pathway involve newly synthesized proteins and lysosomal degradation pathways. Created in BioRender.
Yujia Guo +6 more
wiley +1 more source
Automated Software Requirements Elicitation: A Systematic Mapping Study
Artificial intelligence (AI) is transforming requirements elicitation: machine learning, natural language processing (NLP), and large language models (LLMs) now identify software requirements automatically from the textual data that surrounds every ...
Safaa Eltahier +3 more
doaj +1 more source
This paper presents a model for structuring and reusing security requirements sources. The model serves as blueprint for the development of an organization-specific repository, which provides relevant security requirements sources, such as security ...
Christian Schmitt, Peter Liggesmeyer
doaj +1 more source
Yeast Gcn2 retains activity following humanization of its auto‐phosphorylation region
Using Saccharomyces cerevisiae as a model to study Gcn2 activation and regulation is limited by the lack of antibodies detecting phosphorylated Gcn2. To overcome this, we engineered Gcn2‐HsC, a yeast Gcn2 variant recognizable by commercial anti‐human phospho‐GCN2 antibodies.
Reuben A. Anderson +2 more
wiley +1 more source
Gamify4LexAmb: a gamification-based approach to address lexical ambiguity in natural language requirements [PDF]
Ambiguity is a common challenge in specifying natural language (NL) requirements. One of the reasons for the occurrence of ambiguity in software requirements is the lack of user involvement in requirements elicitation and inspection phases.
Hafsa Dar +4 more
doaj +2 more sources
NMR metabolomics revealed concentration‐dependent metabolic perturbations in HepG2 cells exposed to H2O2. Rifampicin pretreatment enhanced metabolic competence, attenuated toxin‐induced alterations and produced metabolite profiles more consistent with human liver physiology, supporting the use of CYP450‐induced HepG2 models for improved in vitro ...
Maren Jinks +4 more
wiley +1 more source

