Results 51 to 60 of about 129,053 (299)

CD47 promotes mitogen‐activated protein kinase and epithelial‐to‐mesenchymal transition molecular programs to drive prometastatic phenotypes in non‐small cell lung cancer

open access: yesMolecular Oncology, EarlyView.
Beyond its role in immune evasion, this study identified that CD47 drives tumor‐intrinsic signaling in non‐small cell lung cancer (NSCLC). Transcriptomic profiling and functional studies revealed that CD47 regulates cell adhesion, migration, and metastasis through an ERK–EMT signaling axis.
Asa P.Y. Lau   +8 more
wiley   +1 more source

Development of Liposome Systems for Enhancing the PK Properties of Bivalent PROTACs

open access: yesPharmaceutics, 2023
Proteolysis-Targeting Chimeras (PROTACs) are a promising new technology in drug development. They have rapidly evolved in recent years, with several of them in clinical trials.
Ponien Kou   +14 more
doaj   +1 more source

Dibucaine in Ionic-Gradient Liposomes: Biophysical, Toxicological, and Activity Characterization [PDF]

open access: yes, 2018
Administration of local anesthetics is one of the most effective pain control techniques for postoperative analgesia. However, anesthetic agents easily diffuse into the injection site, limiting the time of anesthesia. One approach to prolong analgesia is
Alonso, Silvia del Valle   +11 more
core   +1 more source

INDUCTION OF TOLERANCE BY ORAL ADMINISTRATION OF FACTOR VIII AND TREATMENT OF HEMOPHILA [PDF]

open access: yes, 2011
Disclosed herein is a simple method for the treatment of antigen-deficiency diseases, by orally administering to a Subject a therapeutically effective amount of the deficient anti gen, wherein the antigen is not present in a liposome.
Alpan, Oral   +3 more
core   +1 more source

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

open access: yesAdvanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz   +3 more
wiley   +1 more source

Encapsulation of Bacteriophage in Liposome Accentuates Its Entry in to Macrophage and Shields It from Neutralizing Antibodies. [PDF]

open access: yesPLoS ONE, 2016
Phage therapy has been a centre of attraction for biomedical scientists to treat infections caused by drug resistant strains. However, ability of phage to act only on extracellular bacteria and probability of interference by anti-phage antibodies in vivo
Saloni Singla   +3 more
doaj   +1 more source

Optimization Of Detergent-Mediated Reconstitution Of Influenza A M2 Protein Into Proteoliposomes [PDF]

open access: yes, 2018
We report the optimization of detergent-mediated reconstitution of an integral membrane-bound protein, full-length influenza M2 protein, by direct insertion into detergent-saturated liposomes.
Arbuckle, Douglas Stuart, , \u2717   +6 more
core   +2 more sources

Hydrophobic cis-platinum complexes efficiently incorporated into liposomes [PDF]

open access: yes, 1992
The present invention involves the synthesis and use of new platinum compounds. These new platinum compounds are easy to encapsulate in liposomes at high efficiencies.
Khokhar, Abdul R.   +2 more
core   +3 more sources

Modeling of Transient Trapping of Fatty Acid Tails in Phospholipids [PDF]

open access: yes, 2020
We present the derivation of a new model to describe neutron spin echo spectroscopy and quasi-elastic neutron scattering data on liposomes. We compare the new model with existing approaches and benchmark it with experimental data.
Gupta, Sudipta, Schneider, Gerald J.
core   +3 more sources

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

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