Single-cell sequencing: a promising approach for uncovering the mechanisms of tumor metastasis
Abstract Single-cell sequencing (SCS) is an emerging high-throughput technology that can be used to study the genomics, transcriptomics, and epigenetics at a single cell level. SCS is widely used in the diagnosis and treatment of various diseases, including cancer. Over the years, SCS has gradually...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-05-01
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| Series: | Journal of Hematology & Oncology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13045-022-01280-w |
| _version_ | 1818467871392530432 |
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| author | Yingying Han Dan Wang Lushan Peng Tao Huang Xiaoyun He Junpu Wang Chunlin Ou |
| author_facet | Yingying Han Dan Wang Lushan Peng Tao Huang Xiaoyun He Junpu Wang Chunlin Ou |
| author_sort | Yingying Han |
| collection | DOAJ |
| description | Abstract Single-cell sequencing (SCS) is an emerging high-throughput technology that can be used to study the genomics, transcriptomics, and epigenetics at a single cell level. SCS is widely used in the diagnosis and treatment of various diseases, including cancer. Over the years, SCS has gradually become an effective clinical tool for the exploration of tumor metastasis mechanisms and the development of treatment strategies. Currently, SCS can be used not only to analyze metastasis-related malignant biological characteristics, such as tumor heterogeneity, drug resistance, and microenvironment, but also to construct metastasis-related cell maps for predicting and monitoring the dynamics of metastasis. SCS is also used to identify therapeutic targets related to metastasis as it provides insights into the distribution of tumor cell subsets and gene expression differences between primary and metastatic tumors. Additionally, SCS techniques in combination with artificial intelligence (AI) are used in liquid biopsy to identify circulating tumor cells (CTCs), thereby providing a novel strategy for treating tumor metastasis. In this review, we summarize the potential applications of SCS in the field of tumor metastasis and discuss the prospects and limitations of SCS to provide a theoretical basis for finding therapeutic targets and mechanisms of metastasis. |
| first_indexed | 2024-04-13T21:05:54Z |
| format | Article |
| id | doaj.art-ccf4daa9b1684928b481b21e315e1dcf |
| institution | Directory Open Access Journal |
| issn | 1756-8722 |
| language | English |
| last_indexed | 2024-04-13T21:05:54Z |
| publishDate | 2022-05-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Hematology & Oncology |
| spelling | doaj.art-ccf4daa9b1684928b481b21e315e1dcf2022-12-22T02:29:59ZengBMCJournal of Hematology & Oncology1756-87222022-05-0115111910.1186/s13045-022-01280-wSingle-cell sequencing: a promising approach for uncovering the mechanisms of tumor metastasisYingying Han0Dan Wang1Lushan Peng2Tao Huang3Xiaoyun He4Junpu Wang5Chunlin Ou6Department of Pathology, Xiangya Hospital, Central South UniversityDepartment of Pathology, Xiangya Hospital, Central South UniversityDepartment of Pathology, Xiangya Hospital, Central South UniversityDepartment of Pathology, Xiangya Hospital, Central South UniversityDepartments of Ultrasound Imaging, Xiangya Hospital, Central South UniversityDepartment of Pathology, Xiangya Hospital, Central South UniversityDepartment of Pathology, Xiangya Hospital, Central South UniversityAbstract Single-cell sequencing (SCS) is an emerging high-throughput technology that can be used to study the genomics, transcriptomics, and epigenetics at a single cell level. SCS is widely used in the diagnosis and treatment of various diseases, including cancer. Over the years, SCS has gradually become an effective clinical tool for the exploration of tumor metastasis mechanisms and the development of treatment strategies. Currently, SCS can be used not only to analyze metastasis-related malignant biological characteristics, such as tumor heterogeneity, drug resistance, and microenvironment, but also to construct metastasis-related cell maps for predicting and monitoring the dynamics of metastasis. SCS is also used to identify therapeutic targets related to metastasis as it provides insights into the distribution of tumor cell subsets and gene expression differences between primary and metastatic tumors. Additionally, SCS techniques in combination with artificial intelligence (AI) are used in liquid biopsy to identify circulating tumor cells (CTCs), thereby providing a novel strategy for treating tumor metastasis. In this review, we summarize the potential applications of SCS in the field of tumor metastasis and discuss the prospects and limitations of SCS to provide a theoretical basis for finding therapeutic targets and mechanisms of metastasis.https://doi.org/10.1186/s13045-022-01280-wSingle-cell sequencingTumor metastasisTumor heterogeneityTumor microenvironmentArtificial intelligenceTumor marker |
| spellingShingle | Yingying Han Dan Wang Lushan Peng Tao Huang Xiaoyun He Junpu Wang Chunlin Ou Single-cell sequencing: a promising approach for uncovering the mechanisms of tumor metastasis Journal of Hematology & Oncology Single-cell sequencing Tumor metastasis Tumor heterogeneity Tumor microenvironment Artificial intelligence Tumor marker |
| title | Single-cell sequencing: a promising approach for uncovering the mechanisms of tumor metastasis |
| title_full | Single-cell sequencing: a promising approach for uncovering the mechanisms of tumor metastasis |
| title_fullStr | Single-cell sequencing: a promising approach for uncovering the mechanisms of tumor metastasis |
| title_full_unstemmed | Single-cell sequencing: a promising approach for uncovering the mechanisms of tumor metastasis |
| title_short | Single-cell sequencing: a promising approach for uncovering the mechanisms of tumor metastasis |
| title_sort | single cell sequencing a promising approach for uncovering the mechanisms of tumor metastasis |
| topic | Single-cell sequencing Tumor metastasis Tumor heterogeneity Tumor microenvironment Artificial intelligence Tumor marker |
| url | https://doi.org/10.1186/s13045-022-01280-w |
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