Advancements in single-cell RNA sequencing and spatial transcriptomics: transforming biomedical research
Jigjiga University · Addis Ababa University
Abstract
In recent years, significant advancements in biochemistry, materials science, engineering, and computer-aided testing have driven the development of high-throughput tools for profiling genetic information. Single-cell RNA sequencing (scRNA-seq) technologies have established themselves as key tools for dissecting genetic sequences at the level of single cells. These technologies reveal cellular diversity and allow for the exploration of cell states and transformations with exceptional resolution. Unlike bulk sequencing, which provides population-averaged data, scRNA-seq can detect cell subtypes or gene expression variations that would otherwise be overlooked. However, a key limitation of scRNA-seq is its…
Citation impact
- FWCI
- 47.36
- Percentile
- 100%
- References
- 188
Authors
2Topics & keywords
- Computational biology
- Transcriptome
- Biology
- RNA-Seq
- DNA sequencing
- Context (archaeology)
- RNA
- Gene