Single-cell multiomics sequencing and analyses of human colorectal cancer
Bian, S., Hou, Y., Zhou, X., Li, X., Yong, J., Wang, Y., Wang, W., Yan, J., Hu, B., Guo, H., Wang, J., Gao, S., Mao, Y., Dong, J., Zhu, P., Xiu, D., Yan, L., Wen, L., Qiao, J., Tang, F., Fu, W.
American Association for the Advancement of Science (AAAS)
Published 2018
American Association for the Advancement of Science (AAAS)
Published 2018
| Publication Date: |
2018-11-30
|
|---|---|
| Publisher: |
American Association for the Advancement of Science (AAAS)
|
| Print ISSN: |
0036-8075
|
| Electronic ISSN: |
1095-9203
|
| Topics: |
Biology
Chemistry and Pharmacology
Geosciences
Computer Science
Medicine
Natural Sciences in General
Physics
|
| Keywords: |
Cell Biology, Medicine, Diseases
|
| Published by: |
| _version_ | 1836399094656925697 |
|---|---|
| autor | Bian, S., Hou, Y., Zhou, X., Li, X., Yong, J., Wang, Y., Wang, W., Yan, J., Hu, B., Guo, H., Wang, J., Gao, S., Mao, Y., Dong, J., Zhu, P., Xiu, D., Yan, L., Wen, L., Qiao, J., Tang, F., Fu, W. |
| beschreibung | Although genomic instability, epigenetic abnormality, and gene expression dysregulation are hallmarks of colorectal cancer, these features have not been simultaneously analyzed at single-cell resolution. Using optimized single-cell multiomics sequencing together with multiregional sampling of the primary tumor and lymphatic and distant metastases, we developed insights beyond intratumoral heterogeneity. Genome-wide DNA methylation levels were relatively consistent within a single genetic sublineage. The genome-wide DNA demethylation patterns of cancer cells were consistent in all 10 patients whose DNA we sequenced. The cancer cells’ DNA demethylation degrees clearly correlated with the densities of the heterochromatin-associated histone modification H3K9me3 of normal tissue and those of repetitive element long interspersed nuclear element 1. Our work demonstrates the feasibility of reconstructing genetic lineages and tracing their epigenomic and transcriptomic dynamics with single-cell multiomics sequencing. |
| citation_standardnr | 6363025 |
| datenlieferant | ipn_articles |
| feed_id | 25 |
| feed_publisher | American Association for the Advancement of Science (AAAS) |
| feed_publisher_url | http://www.aaas.org/ |
| insertion_date | 2018-11-30 |
| journaleissn | 1095-9203 |
| journalissn | 0036-8075 |
| publikationsjahr_anzeige | 2018 |
| publikationsjahr_facette | 2018 |
| publikationsjahr_intervall | 7984:2015-2019 |
| publikationsjahr_sort | 2018 |
| publisher | American Association for the Advancement of Science (AAAS) |
| quelle | Science |
| relation | http://science.sciencemag.org/cgi/content/short/362/6418/1060?rss=1 |
| schlagwort | Cell Biology, Medicine, Diseases |
| search_space | articles |
| shingle_author_1 | Bian, S., Hou, Y., Zhou, X., Li, X., Yong, J., Wang, Y., Wang, W., Yan, J., Hu, B., Guo, H., Wang, J., Gao, S., Mao, Y., Dong, J., Zhu, P., Xiu, D., Yan, L., Wen, L., Qiao, J., Tang, F., Fu, W. |
| shingle_author_2 | Bian, S., Hou, Y., Zhou, X., Li, X., Yong, J., Wang, Y., Wang, W., Yan, J., Hu, B., Guo, H., Wang, J., Gao, S., Mao, Y., Dong, J., Zhu, P., Xiu, D., Yan, L., Wen, L., Qiao, J., Tang, F., Fu, W. |
| shingle_author_3 | Bian, S., Hou, Y., Zhou, X., Li, X., Yong, J., Wang, Y., Wang, W., Yan, J., Hu, B., Guo, H., Wang, J., Gao, S., Mao, Y., Dong, J., Zhu, P., Xiu, D., Yan, L., Wen, L., Qiao, J., Tang, F., Fu, W. |
| shingle_author_4 | Bian, S., Hou, Y., Zhou, X., Li, X., Yong, J., Wang, Y., Wang, W., Yan, J., Hu, B., Guo, H., Wang, J., Gao, S., Mao, Y., Dong, J., Zhu, P., Xiu, D., Yan, L., Wen, L., Qiao, J., Tang, F., Fu, W. |
| shingle_catch_all_1 | Single-cell multiomics sequencing and analyses of human colorectal cancer Cell Biology, Medicine, Diseases Although genomic instability, epigenetic abnormality, and gene expression dysregulation are hallmarks of colorectal cancer, these features have not been simultaneously analyzed at single-cell resolution. Using optimized single-cell multiomics sequencing together with multiregional sampling of the primary tumor and lymphatic and distant metastases, we developed insights beyond intratumoral heterogeneity. Genome-wide DNA methylation levels were relatively consistent within a single genetic sublineage. The genome-wide DNA demethylation patterns of cancer cells were consistent in all 10 patients whose DNA we sequenced. The cancer cells’ DNA demethylation degrees clearly correlated with the densities of the heterochromatin-associated histone modification H3K9me3 of normal tissue and those of repetitive element long interspersed nuclear element 1. Our work demonstrates the feasibility of reconstructing genetic lineages and tracing their epigenomic and transcriptomic dynamics with single-cell multiomics sequencing. Bian, S., Hou, Y., Zhou, X., Li, X., Yong, J., Wang, Y., Wang, W., Yan, J., Hu, B., Guo, H., Wang, J., Gao, S., Mao, Y., Dong, J., Zhu, P., Xiu, D., Yan, L., Wen, L., Qiao, J., Tang, F., Fu, W. American Association for the Advancement of Science (AAAS) 0036-8075 00368075 1095-9203 10959203 |
| shingle_catch_all_2 | Single-cell multiomics sequencing and analyses of human colorectal cancer Cell Biology, Medicine, Diseases Although genomic instability, epigenetic abnormality, and gene expression dysregulation are hallmarks of colorectal cancer, these features have not been simultaneously analyzed at single-cell resolution. Using optimized single-cell multiomics sequencing together with multiregional sampling of the primary tumor and lymphatic and distant metastases, we developed insights beyond intratumoral heterogeneity. Genome-wide DNA methylation levels were relatively consistent within a single genetic sublineage. The genome-wide DNA demethylation patterns of cancer cells were consistent in all 10 patients whose DNA we sequenced. The cancer cells’ DNA demethylation degrees clearly correlated with the densities of the heterochromatin-associated histone modification H3K9me3 of normal tissue and those of repetitive element long interspersed nuclear element 1. Our work demonstrates the feasibility of reconstructing genetic lineages and tracing their epigenomic and transcriptomic dynamics with single-cell multiomics sequencing. Bian, S., Hou, Y., Zhou, X., Li, X., Yong, J., Wang, Y., Wang, W., Yan, J., Hu, B., Guo, H., Wang, J., Gao, S., Mao, Y., Dong, J., Zhu, P., Xiu, D., Yan, L., Wen, L., Qiao, J., Tang, F., Fu, W. American Association for the Advancement of Science (AAAS) 0036-8075 00368075 1095-9203 10959203 |
| shingle_catch_all_3 | Single-cell multiomics sequencing and analyses of human colorectal cancer Cell Biology, Medicine, Diseases Although genomic instability, epigenetic abnormality, and gene expression dysregulation are hallmarks of colorectal cancer, these features have not been simultaneously analyzed at single-cell resolution. Using optimized single-cell multiomics sequencing together with multiregional sampling of the primary tumor and lymphatic and distant metastases, we developed insights beyond intratumoral heterogeneity. Genome-wide DNA methylation levels were relatively consistent within a single genetic sublineage. The genome-wide DNA demethylation patterns of cancer cells were consistent in all 10 patients whose DNA we sequenced. The cancer cells’ DNA demethylation degrees clearly correlated with the densities of the heterochromatin-associated histone modification H3K9me3 of normal tissue and those of repetitive element long interspersed nuclear element 1. Our work demonstrates the feasibility of reconstructing genetic lineages and tracing their epigenomic and transcriptomic dynamics with single-cell multiomics sequencing. Bian, S., Hou, Y., Zhou, X., Li, X., Yong, J., Wang, Y., Wang, W., Yan, J., Hu, B., Guo, H., Wang, J., Gao, S., Mao, Y., Dong, J., Zhu, P., Xiu, D., Yan, L., Wen, L., Qiao, J., Tang, F., Fu, W. American Association for the Advancement of Science (AAAS) 0036-8075 00368075 1095-9203 10959203 |
| shingle_catch_all_4 | Single-cell multiomics sequencing and analyses of human colorectal cancer Cell Biology, Medicine, Diseases Although genomic instability, epigenetic abnormality, and gene expression dysregulation are hallmarks of colorectal cancer, these features have not been simultaneously analyzed at single-cell resolution. Using optimized single-cell multiomics sequencing together with multiregional sampling of the primary tumor and lymphatic and distant metastases, we developed insights beyond intratumoral heterogeneity. Genome-wide DNA methylation levels were relatively consistent within a single genetic sublineage. The genome-wide DNA demethylation patterns of cancer cells were consistent in all 10 patients whose DNA we sequenced. The cancer cells’ DNA demethylation degrees clearly correlated with the densities of the heterochromatin-associated histone modification H3K9me3 of normal tissue and those of repetitive element long interspersed nuclear element 1. Our work demonstrates the feasibility of reconstructing genetic lineages and tracing their epigenomic and transcriptomic dynamics with single-cell multiomics sequencing. Bian, S., Hou, Y., Zhou, X., Li, X., Yong, J., Wang, Y., Wang, W., Yan, J., Hu, B., Guo, H., Wang, J., Gao, S., Mao, Y., Dong, J., Zhu, P., Xiu, D., Yan, L., Wen, L., Qiao, J., Tang, F., Fu, W. American Association for the Advancement of Science (AAAS) 0036-8075 00368075 1095-9203 10959203 |
| shingle_title_1 | Single-cell multiomics sequencing and analyses of human colorectal cancer |
| shingle_title_2 | Single-cell multiomics sequencing and analyses of human colorectal cancer |
| shingle_title_3 | Single-cell multiomics sequencing and analyses of human colorectal cancer |
| shingle_title_4 | Single-cell multiomics sequencing and analyses of human colorectal cancer |
| timestamp | 2025-06-30T23:37:30.999Z |
| titel | Single-cell multiomics sequencing and analyses of human colorectal cancer |
| titel_suche | Single-cell multiomics sequencing and analyses of human colorectal cancer |
| topic | W V TE-TZ SQ-SU WW-YZ TA-TD U |
| uid | ipn_articles_6363025 |