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Integration of Computational Analysis and Spatial Transcriptomics in Single-cell Studies.
- Source :
-
Genomics, proteomics & bioinformatics [Genomics Proteomics Bioinformatics] 2023 Feb; Vol. 21 (1), pp. 13-23. Date of Electronic Publication: 2022 Jul 25. - Publication Year :
- 2023
-
Abstract
- Recent advances of single-cell transcriptomics technologies and allied computational methodologies have revolutionized molecular cell biology. Meanwhile, pioneering explorations in spatial transcriptomics have opened up avenues to address fundamental biological questions in health and diseases. Here, we review the technical attributes of single-cell RNA sequencing and spatial transcriptomics, and the core concepts of computational data analysis. We further highlight the challenges in the application of data integration methodologies and the interpretation of the biological context of the findings.<br /> (Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.)
- Subjects :
- Data Analysis
Single-Cell Analysis
Transcriptome
Gene Expression Profiling
Subjects
Details
- Language :
- English
- ISSN :
- 2210-3244
- Volume :
- 21
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Genomics, proteomics & bioinformatics
- Publication Type :
- Academic Journal
- Accession number :
- 35901961
- Full Text :
- https://doi.org/10.1016/j.gpb.2022.06.006