Advancements in single-cell RNA sequencing and spatial transcriptomics: transforming biomedical research
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 f...
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Frontiers Media S.A.
2025-02-01
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| Series: | Acta Biochimica Polonica |
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| Online Access: | https://www.frontierspartnerships.org/articles/10.3389/abp.2025.13922/full |
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| author | Getnet Molla Desta Getnet Molla Desta Alemayehu Godana Birhanu |
| author_facet | Getnet Molla Desta Getnet Molla Desta Alemayehu Godana Birhanu |
| author_sort | Getnet Molla Desta |
| collection | DOAJ |
| description | 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 inability to preserve spatial information about the RNA transcriptome, as the process requires tissue dissociation and cell isolation. Spatial transcriptomics is a pivotal advancement in medical biotechnology, facilitating the identification of molecules such as RNA in their original spatial context within tissue sections at the single-cell level. This capability offers a substantial advantage over traditional single-cell sequencing techniques. Spatial transcriptomics offers valuable insights into a wide range of biomedical fields, including neurology, embryology, cancer research, immunology, and histology. This review highlights single-cell sequencing approaches, recent technological developments, associated challenges, various techniques for expression data analysis, and their applications in disciplines such as cancer research, microbiology, neuroscience, reproductive biology, and immunology. It highlights the critical role of single-cell sequencing tools in characterizing the dynamic nature of individual cells. |
| format | Article |
| id | doaj-art-34629a242483419a9978aca427dea073 |
| institution | Kabale University |
| issn | 1734-154X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
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| series | Acta Biochimica Polonica |
| spelling | doaj-art-34629a242483419a9978aca427dea0732025-02-05T04:11:23ZengFrontiers Media S.A.Acta Biochimica Polonica1734-154X2025-02-017210.3389/abp.2025.1392213922Advancements in single-cell RNA sequencing and spatial transcriptomics: transforming biomedical researchGetnet Molla Desta0Getnet Molla Desta1Alemayehu Godana Birhanu2College of Veterinary Medicine, Jigjiga University, Jigjiga, EthiopiaInstitute of Biotechnology, Addis Ababa University, Addis Ababa, EthiopiaInstitute of Biotechnology, Addis Ababa University, Addis Ababa, EthiopiaIn 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 inability to preserve spatial information about the RNA transcriptome, as the process requires tissue dissociation and cell isolation. Spatial transcriptomics is a pivotal advancement in medical biotechnology, facilitating the identification of molecules such as RNA in their original spatial context within tissue sections at the single-cell level. This capability offers a substantial advantage over traditional single-cell sequencing techniques. Spatial transcriptomics offers valuable insights into a wide range of biomedical fields, including neurology, embryology, cancer research, immunology, and histology. This review highlights single-cell sequencing approaches, recent technological developments, associated challenges, various techniques for expression data analysis, and their applications in disciplines such as cancer research, microbiology, neuroscience, reproductive biology, and immunology. It highlights the critical role of single-cell sequencing tools in characterizing the dynamic nature of individual cells.https://www.frontierspartnerships.org/articles/10.3389/abp.2025.13922/fullsingle-cell RNA-sequencingtranscriptomehigh-throughputspatial transcriptomicstechnology development |
| spellingShingle | Getnet Molla Desta Getnet Molla Desta Alemayehu Godana Birhanu Advancements in single-cell RNA sequencing and spatial transcriptomics: transforming biomedical research Acta Biochimica Polonica single-cell RNA-sequencing transcriptome high-throughput spatial transcriptomics technology development |
| title | Advancements in single-cell RNA sequencing and spatial transcriptomics: transforming biomedical research |
| title_full | Advancements in single-cell RNA sequencing and spatial transcriptomics: transforming biomedical research |
| title_fullStr | Advancements in single-cell RNA sequencing and spatial transcriptomics: transforming biomedical research |
| title_full_unstemmed | Advancements in single-cell RNA sequencing and spatial transcriptomics: transforming biomedical research |
| title_short | Advancements in single-cell RNA sequencing and spatial transcriptomics: transforming biomedical research |
| title_sort | advancements in single cell rna sequencing and spatial transcriptomics transforming biomedical research |
| topic | single-cell RNA-sequencing transcriptome high-throughput spatial transcriptomics technology development |
| url | https://www.frontierspartnerships.org/articles/10.3389/abp.2025.13922/full |
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