Results 191 to 200 of about 212,786 (294)

ITIH2 in colorectal cancer metastasis: Weighted Gene Co-expression Network Analysis-guided functional validation. [PDF]

PLoS One
Zhang XF, Zhang XL, Xu HW, Lin YH, Tian Y, Chen C, Luo H.   +6 more
europepmc   +1 more source

Advances in 3D Bioprinting for Breast Cancer Modeling: Tumor Microenvironment, Metastasis, and Drug Screening

Advanced Healthcare Materials, EarlyView.
Three‐dimensional bioprinting transforms breast cancer modeling from simple constructs into spatially organized, multicellular, perfused, and patient‐derived platforms. This review shows how bioinks, cellular composition, architecture, and flow govern tumor behavior and drug response, while revealing why complexity alone is insufficient without ...
Mustafa Nakipoglu, Mahboobeh Mahmoodi, Ehsanul Hoque Apu, Fahimeh Shahabipour, Sibel Emir Diltemiz, Sanjib Saha, Halima Alem, Nureddin Ashammakhi   +7 more
wiley   +1 more source

A weighted gene co-expression network analysis characterises the common defence responses of Eucalyptus to diverse biotic challenges. [PDF]

Sci Rep
Swanepoel S, Naidoo S.
europepmc   +1 more source

GDNF‐Enriched Small Extracellular Vesicle‐Loaded ROS‐Scavenging Hydrogel Promotes Neural Regeneration After Spinal Cord Injury

Advanced Healthcare Materials, EarlyView.
A glial cell line‐derived neurotrophic factor (GDNF)‐enriched small extracellular vesicle‐loaded reactive oxygen species (ROS)‐scavenging hydrogel integrates sustained neurotrophic delivery with local modulation of oxidative and inflammatory stress after spinal cord injury. The composite hydrogel improves local vesicle retention, protects neural tissue,
Xingyu Zhu, Zhong Liu, Kewei Li, Yuhong Fan, Kangjia Yang, Xiaopeng Sun, Hang Shi, Lixuan Sun, Yang Lou, Min Wang, Peipei Wu, Hui Qian, Qiang Fu, Hua Ding   +13 more
wiley   +1 more source

Identification of central regulators related to residual feed intake in Huainan chickens based on weighted gene co-expression network analysis. [PDF]

Poult Sci
Wang H, Chen Z, Zhang C, Wei W, Liu Y, Xing C, Zou A, Cheng J, Jiang R.   +8 more
europepmc   +1 more source

Microfluidic Engineering of Microgels: A Review of Emerging Technologies, Materials, Fabrication Strategies, and Applications

Advanced Healthcare Materials, EarlyView.
Recent advances in microfluidic technologies for microgel fabrication are critically reviewed, highlighting the capabilities and limitations of major microfluidic platforms and discussing how platform design, material selection, and crosslinking strategies influence microgel architecture and functionality. Current challenges and future opportunities in
Afshin Abrishamkar, Laura Neely, Cynthia Pham, Nada Ibrahim, Alexis Larios‐Cervantes, Ben A. Kertesz, Todd Hoare   +6 more
wiley   +1 more source

Integrated physiological, element content, transcriptomic and weighted gene co-expression network analysis provide insights into the response mechanisms of Areca catechu to Zn/Fe deficiency stress. [PDF]

BMC Plant Biol
Yang J, Li W, Du S, An Q, Cui C, Ding M, Wang Y, Zhou G.   +7 more
europepmc   +1 more source

An Antimicrobial, Cell‐Adhesive, and Growth Factor‐Producing Living Material Engineered From Bacillus subtilis Biofilms for Wound Healing

Advanced Healthcare Materials, EarlyView.
Bacillus subtilis is engineered to produce cell‐adhesive biofilms by functionalization of its biofilm scaffold protein TasA with a cell‐adhesion sequence. Living bacteria within the biofilm are also engineered to secrete growth factors and natively produce antimicrobial peptides (AMPs), resulting in a cell‐adhesive, antimicrobial, and growth factor ...
Mélanie Côté‐Cyr, Marie‐Jeanne Archambault, Caroline Dupuis, Steve Bourgault   +3 more
wiley   +1 more source

Transcriptome and weighted gene co-expression network analysis identify hub genes and pathways in rat kidneys after deep hypothermic circulatory arrest. [PDF]

Ren Fail
Wang L, Lin Z, Lin Y, Wu Q, Zhong G, Chen L.   +5 more
europepmc   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source