Advanced analysis and applications of single-cell transcriptome sequencing
Single-cell transcriptome sequencing (scRNA-seq) is an unparalleled technology in the field of transcriptomics, which can study cells in a comprehensive and unbiased manner, thus characterizing complex biological processes at the cellular level. At the same time, scRNA-seq can produce a large amount...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
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Taylor & Francis Group
2023-12-01
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Series: | All Life |
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Online Access: | http://dx.doi.org/10.1080/26895293.2023.2199140 |
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author | Zhao Ruohan Bai Yicheng Zhao Jingying Hu Mei Zhang Xinyan Yang Min Dou Tengfei Jia Junjing |
author_facet | Zhao Ruohan Bai Yicheng Zhao Jingying Hu Mei Zhang Xinyan Yang Min Dou Tengfei Jia Junjing |
author_sort | Zhao Ruohan |
collection | DOAJ |
description | Single-cell transcriptome sequencing (scRNA-seq) is an unparalleled technology in the field of transcriptomics, which can study cells in a comprehensive and unbiased manner, thus characterizing complex biological processes at the cellular level. At the same time, scRNA-seq can produce a large amount of experimental data; therefore, the extraction of important information is required. In this review, we summarize the common applications of scRNA-seq analysis, such as of cellular communication, pseudo-timing, transcription factors, and functional enrichment, to mine cellular information and reveal the regulatory relationships between genes and trajectories of different cell lineages during development. We also describe the latest technological progress of scRNA-seq use in organoid, pathogenic gene variants, tumor tissues, stem cells, viruses, antibody preparation, and so on, in order to improve its applicability in future research in the life science field. |
first_indexed | 2024-03-09T02:08:29Z |
format | Article |
id | doaj.art-1379010fb324498ea24a8ac3b59ce26e |
institution | Directory Open Access Journal |
issn | 2689-5307 |
language | English |
last_indexed | 2024-03-09T02:08:29Z |
publishDate | 2023-12-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | All Life |
spelling | doaj.art-1379010fb324498ea24a8ac3b59ce26e2023-12-07T15:12:04ZengTaylor & Francis GroupAll Life2689-53072023-12-0116110.1080/26895293.2023.21991402199140Advanced analysis and applications of single-cell transcriptome sequencingZhao Ruohan0Bai Yicheng1Zhao Jingying2Hu Mei3Zhang Xinyan4Yang Min5Dou Tengfei6Jia Junjing7Yunnan Agricultural UniversityYunnan Agricultural UniversityYunnan Agricultural UniversityYunnan Agricultural UniversityYunnan Agricultural UniversityYunnan Agricultural UniversityYunnan Agricultural UniversityYunnan Agricultural UniversitySingle-cell transcriptome sequencing (scRNA-seq) is an unparalleled technology in the field of transcriptomics, which can study cells in a comprehensive and unbiased manner, thus characterizing complex biological processes at the cellular level. At the same time, scRNA-seq can produce a large amount of experimental data; therefore, the extraction of important information is required. In this review, we summarize the common applications of scRNA-seq analysis, such as of cellular communication, pseudo-timing, transcription factors, and functional enrichment, to mine cellular information and reveal the regulatory relationships between genes and trajectories of different cell lineages during development. We also describe the latest technological progress of scRNA-seq use in organoid, pathogenic gene variants, tumor tissues, stem cells, viruses, antibody preparation, and so on, in order to improve its applicability in future research in the life science field.http://dx.doi.org/10.1080/26895293.2023.2199140single cell transcriptome sequencingcellular communicationpseudo-timescenicfunctional enrichment |
spellingShingle | Zhao Ruohan Bai Yicheng Zhao Jingying Hu Mei Zhang Xinyan Yang Min Dou Tengfei Jia Junjing Advanced analysis and applications of single-cell transcriptome sequencing All Life single cell transcriptome sequencing cellular communication pseudo-time scenic functional enrichment |
title | Advanced analysis and applications of single-cell transcriptome sequencing |
title_full | Advanced analysis and applications of single-cell transcriptome sequencing |
title_fullStr | Advanced analysis and applications of single-cell transcriptome sequencing |
title_full_unstemmed | Advanced analysis and applications of single-cell transcriptome sequencing |
title_short | Advanced analysis and applications of single-cell transcriptome sequencing |
title_sort | advanced analysis and applications of single cell transcriptome sequencing |
topic | single cell transcriptome sequencing cellular communication pseudo-time scenic functional enrichment |
url | http://dx.doi.org/10.1080/26895293.2023.2199140 |
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