The key players within the pathways of RNA decay are well conserved with their mutation or disruption resulting in distinct phenotypes as well as human disease.
Unconventional RNA-Binding Proteins Step into the Virus–Host Battlefront
Recent proteome‐wide approaches have greatly expanded the census of RNA‐binding proteins, discovering hundreds of proteins that interact with RNA through unconventional RBDs.
Welcome to the Health, Medical and Life Sciences Virtual Issue for Advanced Science
A collection articles that highlight the outstanding work in the areas of Health, Medical and Life Sciences published in Advanced Science.
Using Raman Spectroscopy To Assess Brittle Bones
A team of American researchers tested the possibilites of using Raman spectroscopy to assess collagen structure or collagen integrity in bone.
Cover Art–Drug‐Eluting Stents, Flexible Sensors & Bioimaging
Check out the latest covers of Advanced Healthcare Materials!
Keep the Plasmid Party Rolling, But Keep it Cool with Structured Antisense RNAs
Bacterial plasmids constitute a wealth of shared DNA amounting to about 20% of the total prokaryotic pangenome. Plasmids replicate autonomously and control their replication by maintaining a fairly constant number of copies within a given host. Plasmids should acquire a good fitness to their hosts so that they do not constitute a genetic load.
Targeted siRNA Delivery Using Aptamer-siRNA Chimeras and Aptamer-Conjugated Nanoparticles
Recent advances in aptamer-mediated siRNA delivery systems for RNAi therapy ranging from anticancer therapy to antiviral therapy.
From Microbes and Fetal Allografts to a Better Understanding of Cancer Immune Tolerance
In their ‘Think again’ article published in BioEssays, Megan Barnet and colleagues discuss how insights from fetal allografts and microbes can lead to a better understanding of immune tolerance in cancer.
Machine Learning for Bioinformatics and Neuroimaging
Machine Learning (ML) is a well‐known paradigm that refers to the ability of systems to learn a specific task from the data and aims to develop computer algorithms that improve with experience.
Quantitative Systems Models Illuminate Arrhythmia Mechanisms in Heart Failure
Quantitative systems modeling aims to integrate knowledge in different research areas with models describing biological mechanisms and dynamics to gain a better understanding of complex clinical syndromes.