Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Purpose Of Review: In this review, we seek to summarize the literature concerning the use of single-cell RNA-sequencing for CNS gliomas.

Recent Findings: Single-cell analysis has revealed complex tumor heterogeneity, subpopulations of proliferating stem-like cells and expanded our view of tumor microenvironment influence in the disease process. Although bulk RNA-sequencing has guided our initial understanding of glioma genetics, this method does not accurately define the heterogeneous subpopulations found within these tumors. Single-cell techniques have appealing applications in cancer research, as diverse cell types and the tumor microenvironment have important implications in therapy. High cost and difficult protocols prevent widespread use of single-cell RNA-sequencing; however, continued innovation will improve accessibility and expand our of knowledge gliomas.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8403493PMC
http://dx.doi.org/10.1007/s11912-018-0673-2DOI Listing

Publication Analysis

Top Keywords

single-cell rna-sequencing
12
tumor microenvironment
8
single-cell
5
rna-sequencing glioma
4
glioma purpose
4
purpose review
4
review review
4
review seek
4
seek summarize
4
summarize literature
4

Similar Publications

Harnessing biomarkers to guide immunotherapy in esophageal cancer: toward precision oncology.

Clin Transl Oncol

September 2025

Department of Basic Science, College of Medicine, Princess Nourah bint Abdulrahman, University, P.O.Box 84428, 11671, Riyadh, Saudi Arabia.

Esophageal cancer (EC) is one of the most serious health issues around the world, ranking seventh among the most lethal types of cancer and eleventh among the most common types of cancer worldwide. Traditional therapies-such as surgery, chemotherapy, and radiation therapy-often yield limited success, especially in the advanced stages of EC, prompting the pursuit of novel and more effective treatment strategies. Immunotherapy has emerged as a promising option; nonetheless, its clinical success is hindered by variable patient responses.

View Article and Find Full Text PDF

Background: Protein lactylation has been implicated in stress-responsive cellular mechanisms, yet its role in lung transplantation-associated ischemia-reperfusion injury (IRI) remains undefined.

Methods: Transcriptomic profiles from GSE145989 were analyzed through differential expression analysis (limma) and weighted gene co-expression network analysis (WGCNA). Integrating the identified genes with lactylation-related signatures uncovered key lactylation-related genes (LRGs) as potential targets.

View Article and Find Full Text PDF

Standardizing single-cell approaches to osteoarthritis: Toward a comprehensive cellular atlas.

Osteoarthritis Cartilage

September 2025

Laboratory of Skeletal Biomedicine, IBIMA, Plataforma BIONAND, Department of Cell Biology, Genetics and Physiology, University of Málaga, 29071 Málaga, Spain. Electronic address:

Osteoarthritis (OA) is a degenerative joint disease characterized by progressive cartilage degradation and complex cellular heterogeneity. Over the past several years, single-cell RNA sequencing (scRNA-Seq) has emerged as a powerful tool to dissect the cellular composition of the human osteoarthritic joint. However, building a complete picture of the OA single-cell milieu in the articular cartilage from these early datasets is like assembling a puzzle from dozens of different sets, where the pieces differ in size and shape.

View Article and Find Full Text PDF

Neuro-Immuno-Stromal Context in Colorectal Cancer: An Enteric Glial Cell-Driven Prognostic Model via Machine Learning Predicts Survival, Recurrence, and Therapy Response.

Exp Cell Res

September 2025

Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Gastrointestinal Cancer Center, Peking University Cancer Hospital and Institute, Beijing, China. Electronic address:

Background: Enteric glial cells (EGCs) have been implicated in colorectal cancer (CRC) progression. This study aimed to develop and validate a prognostic model integrating EGC- and CRC-associated gene expression to predict patient survival, recurrence, metastasis, and therapy response.

Methods: Bulk and single-cell RNA sequencing data were analyzed, and a machine learning-based model was constructed using the RSF random forest algorithm.

View Article and Find Full Text PDF

Single-cell transcriptomic atlas of human retina from Chinese donors reveals population-specific cellular diversity.

Exp Eye Res

September 2025

Nottingham Ningbo China Beacons of Excellence Research and Innovation Institute, University of Nottingham Ningbo China, Ningbo, China, 315100; Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK, DD2 4BF; Center for Public Health, Faculty of Medicine, Hea

The human retina exhibits complex cellular heterogeneity which is critical for visual function, yet comprehensive ethnic-specific references are scarce in ophthalmic transcriptomics. The lack of single-cell RNA sequencing (scRNA-seq) data from Asian populations particularly Chinese donors imposes significant limitations in understanding population-specific retinal biology. We constructed the first comprehensive single-cell transcriptomic atlas of the human retina from Chinese donors, generated through high-throughput scRNA-seq of ∼290,000 viable cells obtained from 18 fresh retinal specimens (living donor and post-mortem specimens).

View Article and Find Full Text PDF