Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Adverse cardiovascular events are emerging with the use of immune checkpoint therapies in oncology. Using datasets in the Trans-Omics for Precision Medicine program (Multi-Ethnic Study of Atherosclerosis, Jackson Heart Study [JHS], and Framingham Heart Study), we examined the association of immune checkpoint plasma proteins with each other, their associated protein network with high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C), and the association of HDL-C- and LDL-C-associated protein networks with all-cause mortality risk. Plasma levels of LAG3 and HAVCR2 showed statistically significant associations with mortality risk.
View Article and Find Full Text PDFBiodegradation and Thermomechanical Behavior of 3D-Printed PLA Scaffolds Under Static and Stirring Biomimetic Conditions.
Biomimetics (Basel)
December 2024
Department of Mechanical Engineering and Aeronautics, University of Patras, 26504 Patras, Greece.
3D-printed biomedical polylactic acid (PLA) scaffolds were developed, and their biodegradation, as well as their thermomechanical behavior, were studied in a relevant in vitro environment. The scaffold's biodegradability profile has been monitored after immersion in a cell culture medium that contains components of blood and body fluids. Two types of biodegradation experiments were performed-a standard static one and an adapted stirring one, mimicking the body fluids' flow, respectively-to achieve a comparative investigation.
View Article and Find Full Text PDFCorrelation-informed ordered dictionary learning for imaging in complex media.
Proc Natl Acad Sci U S A
March 2024
Department of Applied Mathematics, University of California, Merced, CA 95343.
We propose a method for imaging in scattering media when large and diverse datasets are available. It has two steps. Using a dictionary learning algorithm the first step estimates the true Green's function vectors as columns in an unordered sensing matrix.
View Article and Find Full Text PDFMultivariate adaptive shrinkage improves cross-population transcriptome prediction and association studies in underrepresented populations.
HGG Adv
October 2023
Program in Bioinformatics, Loyola University Chicago, Chicago, IL 60660, USA.
Transcriptome prediction models built with data from European-descent individuals are less accurate when applied to different populations because of differences in linkage disequilibrium patterns and allele frequencies. We hypothesized that methods that leverage shared regulatory effects across different conditions, in this case, across different populations, may improve cross-population transcriptome prediction. To test this hypothesis, we made transcriptome prediction models for use in transcriptome-wide association studies (TWASs) using different methods (elastic net, joint-tissue imputation [JTI], matrix expression quantitative trait loci [Matrix eQTL], multivariate adaptive shrinkage in R [MASHR], and transcriptome-integrated genetic association resource [TIGAR]) and tested their out-of-sample transcriptome prediction accuracy in population-matched and cross-population scenarios.
View Article and Find Full Text PDFThe functional impact of rare variation across the regulatory cascade.
Cell Genom
October 2023
Department of Genetics, Stanford University, Stanford, CA, USA.
Article Synopsis
- Identifying impactful rare genetic variants is difficult, but using personal multi-omics can help overcome this challenge, as shown in a study involving several hundred individuals over 10 years.
- By analyzing whole-genome sequencing and other omics data, researchers found that combining expression and protein data significantly increased the detection of rare stop and frameshift variants.
- A new Bayesian hierarchical model called "Watershed" was used to prioritize rare variants linked to significant traits, revealing variants that influence complex conditions like height, schizophrenia, and Alzheimer's disease.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!