Parallel bimodal single-cell sequencing of transcriptome and chromatin accessibility
Joint profiling of transcriptome and chromatin accessibility within single cells allows for the deconstruction of the complex relationship between transcriptional states and upstream regulatory programs determining different cell fates. Here, we developed an automated method with high sensitivity, a...
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sg-ntu-dr.10356-1486822023-02-28T17:09:00Z Parallel bimodal single-cell sequencing of transcriptome and chromatin accessibility Xing, Qiao Rui Farran, Chadi A. El Zeng, Yingying Yi, Yao Warrier, Tushar Gautam, Pradeep Collins, James J. Xu, Jian Dröge, Peter Koh, Cheng-Gee Li, Hu Zhang, Li-Feng Loh, Yuin-Han School of Biological Sciences Institute of Molecular and Cell Biology, A*STAR Science::Biological sciences Cis Regulatory Element Transcription Factor Joint profiling of transcriptome and chromatin accessibility within single cells allows for the deconstruction of the complex relationship between transcriptional states and upstream regulatory programs determining different cell fates. Here, we developed an automated method with high sensitivity, assay for single-cell transcriptome and accessibility regions (ASTAR-seq), for simultaneous measurement of whole-cell transcriptome and chromatin accessibility within the same single cell. To show the utility of ASTAR-seq, we profiled 384 mESCs under naive and primed pluripotent states as well as a two-cell like state, 424 human cells of various lineage origins (BJ, K562, JK1, and Jurkat), and 480 primary cord blood cells undergoing erythroblast differentiation. With the joint profiles, we configured the transcriptional and chromatin accessibility landscapes of discrete cell states, uncovered linked sets of cis-regulatory elements and target genes unique to each state, and constructed interactome and transcription factor (TF)–centered upstream regulatory networks for various cell states. Agency for Science, Technology and Research (A*STAR) Ministry of Health (MOH) National Medical Research Council (NMRC) National Research Foundation (NRF) Published version We thank Haitong Fang, Naresh Waran Gnanasegaran, and Sudhagar Samydurai for the technical assistance. H.L. is supported by National Instiutes of Health (AG056318, AG61796, and CA208517), the Glenn Foundation for Medical Research, Mayo Clinic Center for Biomedical Discovery, Center for Individualized Medicine, Mayo Clinic Cancer Center, and the David F. and Margaret T. Grohne Cancer Immunology and Immunotherapy Program. Y.H.L. is supported by the National Research Foundation Investigatorship award (NRFI2018-02), Agency for Science, Technology and Research JCO Development Program Grant (1534n00153 and 1334k00083), and Singapore National Research Foundation under its Cooperative Basic Research grant administered by the Singapore Ministry of Health's National Medical Research Council (NMRC/CBRG/0092/2015). We thank the Biomedical Research Council, Agency for Science, Technology and Research, Singapore for research funding. 2021-05-17T02:14:25Z 2021-05-17T02:14:25Z 2020 Journal Article Xing, Q. R., Farran, C. A. E., Zeng, Y., Yi, Y., Warrier, T., Gautam, P., Collins, J. J., Xu, J., Dröge, P., Koh, C., Li, H., Zhang, L. & Loh, Y. (2020). Parallel bimodal single-cell sequencing of transcriptome and chromatin accessibility. Genome Research, 30(7), 1027-1039. https://dx.doi.org/10.1101/gr.257840.119 1088-9051 https://hdl.handle.net/10356/148682 10.1101/gr.257840.119 32699019 2-s2.0-85089206425 7 30 1027 1039 en NRFI2018-02 1534n00153 1334k00083 NMRC/CBRG/0092/2015 Genome Research © 2020 Xing et al.; Published by Cold Spring Harbor Laboratory Press. This article, published in Genome Research, is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/. application/pdf |
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Science::Biological sciences Cis Regulatory Element Transcription Factor Xing, Qiao Rui Farran, Chadi A. El Zeng, Yingying Yi, Yao Warrier, Tushar Gautam, Pradeep Collins, James J. Xu, Jian Dröge, Peter Koh, Cheng-Gee Li, Hu Zhang, Li-Feng Loh, Yuin-Han Parallel bimodal single-cell sequencing of transcriptome and chromatin accessibility |
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Joint profiling of transcriptome and chromatin accessibility within single cells allows for the deconstruction of the complex relationship between transcriptional states and upstream regulatory programs determining different cell fates. Here, we developed an automated method with high sensitivity, assay for single-cell transcriptome and accessibility regions (ASTAR-seq), for simultaneous measurement of whole-cell transcriptome and chromatin accessibility within the same single cell. To show the utility of ASTAR-seq, we profiled 384 mESCs under naive and primed pluripotent states as well as a two-cell like state, 424 human cells of various lineage origins (BJ, K562, JK1, and Jurkat), and 480 primary cord blood cells undergoing erythroblast differentiation. With the joint profiles, we configured the transcriptional and chromatin accessibility landscapes of discrete cell states, uncovered linked sets of cis-regulatory elements and target genes unique to each state, and constructed interactome and transcription factor (TF)–centered upstream regulatory networks for various cell states. |
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School of Biological Sciences |
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School of Biological Sciences Xing, Qiao Rui Farran, Chadi A. El Zeng, Yingying Yi, Yao Warrier, Tushar Gautam, Pradeep Collins, James J. Xu, Jian Dröge, Peter Koh, Cheng-Gee Li, Hu Zhang, Li-Feng Loh, Yuin-Han |
format |
Article |
author |
Xing, Qiao Rui Farran, Chadi A. El Zeng, Yingying Yi, Yao Warrier, Tushar Gautam, Pradeep Collins, James J. Xu, Jian Dröge, Peter Koh, Cheng-Gee Li, Hu Zhang, Li-Feng Loh, Yuin-Han |
author_sort |
Xing, Qiao Rui |
title |
Parallel bimodal single-cell sequencing of transcriptome and chromatin accessibility |
title_short |
Parallel bimodal single-cell sequencing of transcriptome and chromatin accessibility |
title_full |
Parallel bimodal single-cell sequencing of transcriptome and chromatin accessibility |
title_fullStr |
Parallel bimodal single-cell sequencing of transcriptome and chromatin accessibility |
title_full_unstemmed |
Parallel bimodal single-cell sequencing of transcriptome and chromatin accessibility |
title_sort |
parallel bimodal single-cell sequencing of transcriptome and chromatin accessibility |
publishDate |
2021 |
url |
https://hdl.handle.net/10356/148682 |
_version_ |
1759857135965962240 |