Results 241 to 250 of about 2,025,304 (349)
Bridges and Barriers: Factors Influencing a Culture of Assessment in Academic Libraries
Meredith Farkas +2 more
openalex +2 more sources
Dynamics of the Mammalian Placental Metabolome in Placentogenesis and Embryonic Development
This study identifies three metabolic stages (E8.5, E9.5–10.5, E11.5–14.5) and two transition periods (E8.5–9.5, E10.5–11.5) in mouse placental development. NAD(H) emerges as a key dynamic metabolite that enhances embryonic growth through accelerated segmentation and increased proliferation of mouse embryonic stem cell (mESC)‐induced presomitic ...
Gang Chen +11 more
wiley +1 more source
Knowledge mobilization with and for equity-deserving communities invested in research: A scoping review protocol. [PDF]
Barhouche R +6 more
europepmc +1 more source
This study reveals that Urolithin A (UA) counteracts alcohol‐induced cognitive and social dysfunction (AICSD) via a gut microbiome‐dependent mechanism. UA‐enriched Bacteroids sartorii and Parabacteroids distasonis elevate anandamide (AEA), which activates the CB1R‐DRD2‐Rap1 signaling cascade to drive synaptic repair and reduce neuroinflammation ...
Hongbo Zhang +9 more
wiley +1 more source
Beyond black and white: A framework for identifying grey literature in palliative care research. [PDF]
Damarell R +3 more
europepmc +1 more source
Metformin Impairs Breast Cancer Growth through the Inhibition of PRMT6
Metformin has a biological activity against breast cancer. However, it is largely unknown about its precise therapeutic targets. Here, histone arginine methyltransferase PRMT6 is identified as a new anti‐cancer target for metformin. Metformin directly binds PRMT6 and inhibits its ability to catalyze histone H3R2 asymmetric dimethylation (H3R2me2a ...
Yinsheng Wu +9 more
wiley +1 more source
Positive sentiments in early academic literature on DeepSeek: a cross-disciplinary mini review. [PDF]
He Y, Giangan A, Vu N, Watters C.
europepmc +1 more source
CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng +27 more
wiley +1 more source

