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| Main Authors: | , |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
Briefings in bioinformatics
2025
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| Subjects: | |
| Online Access: | https://pubmed.ncbi.nlm.nih.gov/40698863/ |
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| _version_ | 1868266174420090881 |
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| author | Woo, Hyunmin Eyun, Seong-Il |
| author_facet | Woo, Hyunmin Eyun, Seong-Il Woo, Hyunmin Eyun, Seong-Il |
| collection | PubMed - marine biology |
| contents | Applications and techniques of single-cell RNA sequencing across diverse species. Woo, Hyunmin Eyun, Seong-Il Single-Cell Analysis Humans Sequence Analysis, RNA Animals Gene Expression Profiling Transcriptome Computational Biology Single-cell ribonucleic acid sequencing (scRNA-seq) is an important tool in molecular biology, allowing transcriptomic profiling at the single-cell level. This transformative technology has provided unprecedented insights into cellular heterogeneity, lineage differentiation, and cell-type-specific gene expression patterns, significantly advancing our understanding of complex biological systems. scRNA-seq is broadly applied across various fields, including oncology, where it sheds light on intratumoral heterogeneity and precision medicine strategies, and developmental biology, where it uncovers cellular trajectories in both model and non-model organisms. Additionally, scRNA-seq has been instrumental in ecological genomics, which can help elucidate cellular responses to environmental perturbations and species interactions. Despite these advancements, several challenges remain, particularly technical and financial barriers, limiting its application to non-model organisms and tissues with complex cellular compositions. Addressing these issues will require continued innovation in single-cell isolation methods, cost-effective sequencing technologies, and sophisticated bioinformatics tools. As scRNA-seq advances, it can deepen our understanding of biological systems, with broad implications for personalized medicine, evolutionary biology, and ecological research. |
| format | Artículo científico |
| id | pubmed_40698863 |
| institution | PubMed |
| language | en |
| publishDate | 2025 |
| publisher | Briefings in bioinformatics |
| record_format | pubmed |
| spellingShingle | Applications and techniques of single-cell RNA sequencing across diverse species. Woo, Hyunmin Eyun, Seong-Il Single-Cell Analysis Humans Sequence Analysis, RNA Animals Gene Expression Profiling Transcriptome Computational Biology Applications and techniques of single-cell RNA sequencing across diverse species. Woo, Hyunmin Eyun, Seong-Il Single-Cell Analysis Humans Sequence Analysis, RNA Animals Gene Expression Profiling Transcriptome Computational Biology Single-cell ribonucleic acid sequencing (scRNA-seq) is an important tool in molecular biology, allowing transcriptomic profiling at the single-cell level. This transformative technology has provided unprecedented insights into cellular heterogeneity, lineage differentiation, and cell-type-specific gene expression patterns, significantly advancing our understanding of complex biological systems. scRNA-seq is broadly applied across various fields, including oncology, where it sheds light on intratumoral heterogeneity and precision medicine strategies, and developmental biology, where it uncovers cellular trajectories in both model and non-model organisms. Additionally, scRNA-seq has been instrumental in ecological genomics, which can help elucidate cellular responses to environmental perturbations and species interactions. Despite these advancements, several challenges remain, particularly technical and financial barriers, limiting its application to non-model organisms and tissues with complex cellular compositions. Addressing these issues will require continued innovation in single-cell isolation methods, cost-effective sequencing technologies, and sophisticated bioinformatics tools. As scRNA-seq advances, it can deepen our understanding of biological systems, with broad implications for personalized medicine, evolutionary biology, and ecological research. |
| title | Applications and techniques of single-cell RNA sequencing across diverse species. |
| topic | Single-Cell Analysis Humans Sequence Analysis, RNA Animals Gene Expression Profiling Transcriptome Computational Biology |
| url | https://pubmed.ncbi.nlm.nih.gov/40698863/ |