Recent progress in single-cell RNA sequencing has led to mechanistic and clinically actionable insight into genetic heterogeneity and tumor progression via transcriptome profiling at single-cell level ...
Fibrosis, resulting from excess extracellular matrix (ECM) deposition, is a feature of adipose tissue (AT) dysfunction and obesity-related insulin resistance. Emerging evidence indicates that ...
A comprehensive review article titled “Bioinformatics perspectives on transcriptomics: A comprehensive review of bulk and single-cell RNA sequencing analyses,” published in Quantitative Biology, ...
For centuries, scientists have recognized that certain illnesses can run in families, an idea that dates back to Hippocrates. Over time, researchers have become increasingly skilled at uncovering how ...
Introduction: TBX18-mediated reprogramming converts ventricular myocytes (VMs) into pacemaker-like cells (iPMs), creating de novo pacing in vitro and in vivo. Here, we employ single-cell RNA ...
Abstract: Gene panel selection aims to identify the most informative genomic biomarkers in label-free genomic datasets. Traditional approaches, which rely on domain expertise, embedded machine ...
The liver is remarkable for its ability to regenerate after injury, yet when this process fails, acute liver failure (ALF) carries devastating outcomes. Traditional research methods, reliant on bulk ...
Integrated single-cell and bulk RNA-seq analysis reveals prognostic stemness genes in leiomyosarcoma
Introduction: Leiomyosarcoma (LMS) is a rare and aggressive soft tissue sarcoma with limited therapeutic options and poor prognosis. Identifying reliable prognostic markers and therapeutic targets is ...
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