Spatial transcriptomics: recent developments and insights in respiratory research
Abstract The respiratory system’s complex cellular heterogeneity presents unique challenges to researchers in this field. Although bulk RNA sequencing and single-cell RNA sequencing (scRNA-seq) have provided insights into cell types and heterogeneity in the respiratory system, the relevant specific...
| 出版年: | Military Medical Research |
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| 主要な著者: | , , , , , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
BMC
2023-08-01
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| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1186/s40779-023-00471-x |
| _version_ | 1851910704032907264 |
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| author | Wen-Jia Wang Liu-Xi Chu Li-Yong He Ming-Jing Zhang Kai-Tong Dang Chen Gao Qin-Yu Ge Zhou-Guang Wang Xiang-Wei Zhao |
| author_facet | Wen-Jia Wang Liu-Xi Chu Li-Yong He Ming-Jing Zhang Kai-Tong Dang Chen Gao Qin-Yu Ge Zhou-Guang Wang Xiang-Wei Zhao |
| author_sort | Wen-Jia Wang |
| collection | DOAJ |
| container_title | Military Medical Research |
| description | Abstract The respiratory system’s complex cellular heterogeneity presents unique challenges to researchers in this field. Although bulk RNA sequencing and single-cell RNA sequencing (scRNA-seq) have provided insights into cell types and heterogeneity in the respiratory system, the relevant specific spatial localization and cellular interactions have not been clearly elucidated. Spatial transcriptomics (ST) has filled this gap and has been widely used in respiratory studies. This review focuses on the latest iterative technology of ST in recent years, summarizing how ST can be applied to the physiological and pathological processes of the respiratory system, with emphasis on the lungs. Finally, the current challenges and potential development directions are proposed, including high-throughput full-length transcriptome, integration of multi-omics, temporal and spatial omics, bioinformatics analysis, etc. These viewpoints are expected to advance the study of systematic mechanisms, including respiratory studies. |
| format | Article |
| id | doaj-art-e94ddf29b4f54c25b68bf4e4364ea375 |
| institution | Directory of Open Access Journals |
| issn | 2054-9369 |
| language | English |
| publishDate | 2023-08-01 |
| publisher | BMC |
| record_format | Article |
| spelling | doaj-art-e94ddf29b4f54c25b68bf4e4364ea3752025-08-19T22:02:05ZengBMCMilitary Medical Research2054-93692023-08-0110111910.1186/s40779-023-00471-xSpatial transcriptomics: recent developments and insights in respiratory researchWen-Jia Wang0Liu-Xi Chu1Li-Yong He2Ming-Jing Zhang3Kai-Tong Dang4Chen Gao5Qin-Yu Ge6Zhou-Guang Wang7Xiang-Wei Zhao8State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast UniversityState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast UniversityState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast UniversityOrthopaedic Bioengineering Research Group, Division of Surgery and Interventional Science, University College LondonState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast UniversityState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast UniversityState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast UniversityOujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), School of Pharmaceutical Sciences, Wenzhou Medical UniversityState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast UniversityAbstract The respiratory system’s complex cellular heterogeneity presents unique challenges to researchers in this field. Although bulk RNA sequencing and single-cell RNA sequencing (scRNA-seq) have provided insights into cell types and heterogeneity in the respiratory system, the relevant specific spatial localization and cellular interactions have not been clearly elucidated. Spatial transcriptomics (ST) has filled this gap and has been widely used in respiratory studies. This review focuses on the latest iterative technology of ST in recent years, summarizing how ST can be applied to the physiological and pathological processes of the respiratory system, with emphasis on the lungs. Finally, the current challenges and potential development directions are proposed, including high-throughput full-length transcriptome, integration of multi-omics, temporal and spatial omics, bioinformatics analysis, etc. These viewpoints are expected to advance the study of systematic mechanisms, including respiratory studies.https://doi.org/10.1186/s40779-023-00471-xSpatial transcriptomicsLungTumorSpatial multi-omics |
| spellingShingle | Wen-Jia Wang Liu-Xi Chu Li-Yong He Ming-Jing Zhang Kai-Tong Dang Chen Gao Qin-Yu Ge Zhou-Guang Wang Xiang-Wei Zhao Spatial transcriptomics: recent developments and insights in respiratory research Spatial transcriptomics Lung Tumor Spatial multi-omics |
| title | Spatial transcriptomics: recent developments and insights in respiratory research |
| title_full | Spatial transcriptomics: recent developments and insights in respiratory research |
| title_fullStr | Spatial transcriptomics: recent developments and insights in respiratory research |
| title_full_unstemmed | Spatial transcriptomics: recent developments and insights in respiratory research |
| title_short | Spatial transcriptomics: recent developments and insights in respiratory research |
| title_sort | spatial transcriptomics recent developments and insights in respiratory research |
| topic | Spatial transcriptomics Lung Tumor Spatial multi-omics |
| url | https://doi.org/10.1186/s40779-023-00471-x |
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