MiR‐513a promotes human erythroid differentiation by modulating c‐Jun
During early human erythropoiesis, miR‐513a promoted erythroid differentiation in primary human CD34+ hematopoietic stem‐progenitor cells and human TF‐1 erythroleukemic cells by indirectly decreasing c‐Jun and phospho‐c‐Jun expression, which are associated with increased GATA1 expression.
MinJung Kim +11 more
wiley +1 more source
Artificial intelligence in drug discovery from advanced molecular representation to pipeline applications. [PDF]
Zhou X, Tao W.
europepmc +1 more source
Despite frogs avoiding low temperatures, examination of four salamander species revealed that none avoided cold and all possessed cold tolerance. Functional analysis of TRPM8, a cold sensor, showed that all salamander TRPM8s had lost their cold sensitivity.
Tadahiro Sawao +3 more
wiley +1 more source
Practical Challenges for the Implementation of AI-Based Image Analysis in Ophthalmology Research: Insights and Recommendations from a Swiss Multicentric Study. [PDF]
Spitznagel T +7 more
europepmc +1 more source
Digital twins to accelerate target identification and drug development for immune‐mediated disorders
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley +1 more source
AI-Driven Drug Discovery: Focus on Targets for Solid Tumors. [PDF]
Wu J +12 more
europepmc +1 more source
Discovery of serum APOD as an early sarcopenia biomarker in older adults with low muscle mass: a cross-sectional proteomic and transcriptomic investigation. [PDF]
Wu J, He Q, Huang L.
europepmc +1 more source
From discovery to delivery: a systems-based pathway for translating science into global and humanitarian health impact. [PDF]
Ramalingam B.
europepmc +1 more source
From data to discovery: The rise of information-theoretic predictive models in drug development. [PDF]
Saied H +5 more
europepmc +1 more source

