Results 81 to 90 of about 81,661 (282)
Epigenetic reprogramming in hematopoietic stem and progenitor cells (HSPCs) and downstream myeloid cells, mediated by H3.3 downregulation and endogenous retroelement (ERE) overexpression, contributes to the progression of multiple sclerosis (MS). ABSTRACT Background Skewed myelopoiesis in the bone marrow has been identified as a key driver of multiple ...
Li‐Mei Xiao +6 more
wiley +1 more source
Exploring the single-cell RNA-seq analysis landscape with the scRNA-tools database.
As single-cell RNA-sequencing (scRNA-seq) datasets have become more widespread the number of tools designed to analyse these data has dramatically increased.
Luke Zappia +2 more
doaj +1 more source
Single-cell RNA sequencing (scRNA-seq) has emerged as a popular method to profile gene expression at the resolution of individual cells. While there have been methods and software specifically developed to analyze scRNA-seq data, they are most accessible
Clarence K. Mah +5 more
doaj +1 more source
Bayesian gamma-negative binomial modeling of single-cell RNA sequencing data
Background Single-cell RNA sequencing (scRNA-seq) is a powerful profiling technique at the single-cell resolution. Appropriate analysis of scRNA-seq data can characterize molecular heterogeneity and shed light into the underlying cellular process to ...
Siamak Zamani Dadaneh +4 more
doaj +1 more source
Single-cell ribonucleic acid sequencing (scRNA-seq) has emerged as a transformative technology in neurological and neurosurgical research, revolutionising our comprehension of complex neurological disorders.
Wireko Andrew Awuah +12 more
doaj +1 more source
Predicting lung aging using scRNA-Seq data
Age prediction based on single cell RNA-Sequencing data (scRNA-Seq) can provide information for patients’ susceptibility to various diseases and conditions. In addition, such analysis can be used to identify aging related genes and pathways. To enable age prediction based on scRNA-Seq data, we developed PolyEN, a new regression model which learns ...
Song, Qi +14 more
openaire +3 more sources
Objective A leading cause of death among patients with scleroderma (SSc), interstitial lung disease (ILD) remains challenging to prognosticate. The discovery of biomarkers that accurately determine which patients would benefit from close monitoring and aggressive therapy would be an essential clinical tool.
Cristina M. Padilla +13 more
wiley +1 more source
SCALE method for single-cell ATAC-seq analysis via latent feature extraction. [PDF]
Single-cell ATAC-seq (scATAC-seq) profiles the chromatin accessibility landscape at single cell level, thus revealing cell-to-cell variability in gene regulation.
Gao, Ge +8 more
core
This study develops a dual‐bioinspired hydrogel, MSA@PGel (macrophage membrane‐coated and salvianolic acid B/5‐aminolevulinic acid co‐loaded liposomes embedded in a polydopamine‐based gel), that integrates macrophage membrane‐mediated active targeting and mussel‐inspired wet adhesion for programmed intervention in oral precancerous lesions.
Xiaoxian Zhao +8 more
wiley +1 more source
This review examines how emerging enabling technologies enhance the physiological relevance, scalability, and reproducibility of kidney organoids, while advanced analytical approaches support model validation and deepen mechanistic insight into nephrotoxicity.
Helen Kearney +3 more
wiley +1 more source

