Recently proposed computational approaches explore casual links between chromatin and transcriptional changes that are provided by single-cell multimodal sequencing to bridge the knowledge gap in transcriptional regulatory control.
References
Ma, S. et al. Cell 183, 1103–1116.e20 (2020).
Lynch, A. W. et al. Nat. Methods 19, 1097–1108 (2022).
González-Blas, C. B. et al. Nat. Methods https://doi.org/10.1038/s41592-023-01938-4 (2023).
Wang, L. et al. Nat. Methods https://doi.org/10.1038/s41592-023-01971-3 (2023).
Klemm, S. L., Shipony, Z. & Greenleaf, W. J. Nat. Rev. Genet. 20, 207–220 (2019).
Beer, M. A. & Tavazoie, S. Cell 117, 185–198 (2004).
Li, Z. et al. Genome Biol. 20, 45 (2019).
Pliner, H. A. et al. Mol. Cell 71, 858–871.e8 (2018).
Aibar, S. et al. Nat. Methods 14, 1083–1086 (2017).
Li, Z. et al. Nat. Commun. 12, 6386 (2021).
Acknowledgements
I thank C. Kuppe and S. Hayat (RWTH Aachen Medical Faculty) for comments and suggestions. This work was supported by the German Research Foundation (DFG) and the E:MED Fibromap Consortia from the German Ministry of Education and Science (BMBF).
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Costa, I.G. Dissecting gene regulation with multimodal sequencing. Nat Methods 20, 1282–1284 (2023). https://doi.org/10.1038/s41592-023-01957-1
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DOI: https://doi.org/10.1038/s41592-023-01957-1
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