Results 171 to 180 of about 37,709 (292)

Archetypal analysis of pain measures in a diverse population-based cohort: Exploring cross-sectional relationships with outcomes. [PDF]

Osteoarthr Cartil Open
Pazooki P, Arbeeva L, Tomar S, Alvarez C, Walker T, Golightly YM, Lascelles BDX, Nelson AE.   +7 more
europepmc   +1 more source

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

FEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour, Christine Volmert, Valentina Piano   +2 more
wiley   +1 more source

Molecular phenotypes and spatial archetypes: A new framework for cancer-associated fibroblasts. [PDF]

Cancer Cell
Liu Y, Chen X, Dai Y, Jia Y, Kieffer Y, Xie L, Zhou Z, Tyler L, Kim AC, Biffi G, Krishnamurty AT, Mechta-Grigoriou F, Scherz-Shouval R, Sherman MH, Turley SJ, Wang L, Huang H.   +16 more
europepmc   +1 more source

Versatile vector tools for efficient protein screening across multiple expression systems

FEBS Open Bio, EarlyView.
A unified vector toolkit enables rapid protein expression screening across E. coli, insect, and mammalian cells. A single primer pair amplifies the target gene, which is inserted into any vector via a standardized interface. This streamlined workflow eliminates repeated cloning steps, accelerating the identification of optimal expression conditions for
Zhimin Zhu, Yaqing Liu, Lei Qin, Feng Yu, Qisheng Wang, Yahui Liu   +5 more
wiley   +1 more source

Prognostic RNA-splicing archetypes in breast cancer identified by extended pre-training of histopathology foundation models. [PDF]

Nat Commun
Fournier L, Haefliger G, Vernhes A, Jung V, Loye L, Du Bois V, Labidi-Galy I, Frossard P, Letovanec I, Vincent-Cuaz C, Luisier R.   +10 more
europepmc   +1 more source

Cyclic azapeptide CD36 ligand attenuates cardiac injury and reduces long‐chain fatty acid accumulation after myocardial ischemia–reperfusion in mice

FEBS Open Bio, EarlyView.
In a murine model of myocardial ischemia and reperfusion (MI/R), the CD36 azapeptide ligand MPE‐298 reduces cardiac injury and transiently lowers left ventricular long‐chain fatty acids (LCFAs) accumulation 3 h after reperfusion, accompanied by a decrease of oxidative stress and inflammation‐associated genes' expression in the heart and adipose tissue.
Jade Gauvin, Naghme Radmannia, David N. Huynh, Liliane Ménard, Caroline Daneault, Maïté Veilleux, Ahsanullah Ahsanullah, André C. Carpentier, William D. Lubell, Matthieu Ruiz, Huy Ong, Sylvie Marleau, Simon‐Pierre Gravel   +12 more
wiley   +1 more source

Shared decision making in Eosinophilic esophagitis: Integrating physician and patient perspectives. [PDF]

PLoS One
Ryan KA, Darpel KK, Rubenstein JH, Dellon ES, Wallner LP, De Vries R, Chang JW.   +6 more
europepmc   +1 more source

Aquaporin‐3 and aquaporin‐5 impact the development of pancreatic ductal adenocarcinoma spheroids

FEBS Open Bio, EarlyView.
Schematic representation of the role of aquaporin‐3 (AQP3) and aquaporin‐5 (AQP5) in pancreatic ductal adenocarcinoma (PDAC). Both proteins are upregulated in PDAC and are associated with tumor progression and metastatic potential. Silencing AQP3 or AQP5 in PDAC spheroids results in decreased diameter, area, and overall growth, underscoring their key ...
Catarina Pimpão, Diogo M. Engrácia, Graça Soveral, Filipa Mendes   +3 more
wiley   +1 more source

Eigenvalue Ratios Reveal Shared Binding Pocket Shapes in RNA and Protein Structures. [PDF]

Comput Struct Biotechnol J
Ziani L, Badel A, Dufay L, Flatters D, Regad L, Camproux AC.   +5 more
europepmc   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source