The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Broad histone H3K4me3 domains in mouse oocytes modulate maternal-to-zygotic transition
Open accessAbstract
Maternal-to-zygotic transition (MZT) is essential for the formation of a new individual, but is still poorly understood despite recent progress in analysis of gene expression and DNA methylation in early embryogenesis. Dynamic histone modifications may have important roles in MZT, but direct measurements of chromatin states have been hindered by technical difficulties in profiling histone modifications from small quantities of cells. Recent improvements allow for 500 cell-equivalents of chromatin per reaction, but require 10,000 cells for initial steps or require a highly specialized microfluidics device that is not readily available. We developed a micro-scale chromatin immunoprecipitation and sequencing (μChIP–seq) method, which we used to profile genome-wide histone H3 lysine methylation (H3K4me3) and acetylation (H3K27ac) in mouse immature and metaphase II oocytes and in 2-cell and 8-cell embryos. Notably, we show that ~22% of the oocyte genome is associated with broad H3K4me3 domains that are anti-correlated with DNA methylation. The H3K4me3 signal becomes confined to transcriptional-start-site regions in 2-cell embryos, concomitant with the onset of major zygotic genome activation. Active removal of broad H3K4me3 domains by the lysine demethylases KDM5A and KDM5B is required for normal zygotic genome activation and is essential for early embryo development. Our results provide insight into the onset of the developmental program in mouse embryos and demonstrate a role for broad H3K4me3 domains in MZT.
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Trimmomatic: a flexible trimmer for Illumina sequence data
Bolger, A. M., Lohse, M., & Usadel, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu170 · Cited by 65,548
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
Trapnell, C., Williams, B. A., Pertea, G., Mortazavi, A., Kwan, G., van Baren, M. J., Salzberg, S. L., Wold, B. J., & Pachter, L. (2010) · Nature Biotechnology · doi:10.1038/nbt.1621 · Cited by 15,556
Regulation of chromatin by histone modifications
Bannister, A. J., & Kouzarides, T. (2011) · Cell Research · doi:10.1038/cr.2011.22 · Cited by 6,012
GREAT improves functional interpretation of cis-regulatory regions
McLean, C. Y., Bristor, D., Hiller, M., Clarke, S. L., Schaar, B. T., Lowe, C. B., Wenger, A. M., & Bejerano, G. (2010) · Nature Biotechnology · doi:10.1038/nbt.1630 · Cited by 4,502
A map of the cis-regulatory sequences in the mouse genome
Shen, Y., Yue, F., McCleary, D. F., Ye, Z., Edsall, L., Kuan, S., Wagner, U., Dixon, J., Lee, L., Lobanenkov, V. V., et al. (2012) · Nature · doi:10.1038/nature11243 · Cited by 1,361
Self-citationSingle-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells
Deng, Q., Ramsköld, D., Reinius, B., & Sandberg, R. (2014) · Science · doi:10.1126/science.1245316 · Cited by 1,345
Methylation of lysine 4 on histone H3: intricacy of writing and reading a single epigenetic mark
Ruthenburg, A. J., Allis, C. D., & Wysocka, J. (2007) · Molecular Cell · doi:10.1016/j.molcel.2006.12.014 · Cited by 1,147
Single-cell genome-wide bisulfite sequencing for assessing epigenetic heterogeneity
Smallwood, S. A., Lee, H. J., Angermueller, C., Krueger, F., Saadeh, H., Peat, J., Andrews, S. R., Stegle, O., Reik, W., & Kelsey, G. (2014) · Nature Methods · doi:10.1038/nmeth.3035 · Cited by 1,125
Genetic programs in human and mouse early embryos revealed by single-cell RNA sequencing
Xue, Z., Huang, K., Cai, C., Cai, L., Jiang, C.-Y., Feng, Y., Liu, Z., Zeng, Q., Cheng, L., Sun, Y. E., et al. (2013) · Nature · doi:10.1038/nature12364 · Cited by 963
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Histone post-translational modifications - cause and consequence of genome function
Millán-Zambrano, G., Burton, A., Bannister, A. J., & Schneider, R. (2022) · Nature Reviews Genetics · doi:10.1038/s41576-022-00468-7 · Cited by 1,116
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Schulz, K. N., & Harrison, M. M. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-018-0087-x · Cited by 555
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Reid, M. A., Dai, Z., & Locasale, J. W. (2017) · Nature Cell Biology · doi:10.1038/ncb3629 · Cited by 515
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Vastenhouw, N. L., Cao, W. X., & Lipshitz, H. D. (2019) · Development · doi:10.1242/dev.161471 · Cited by 445
Metadata
- Authors
- Dahl, J. A., Jung, I., Aanes, H., Greggains, G. D., Manaf, A., Lerdrup, M., Li, G., Kuan, S., Li, B., Lee, A. Y., Preissl, S., Jermstad, I., Haugen, M. H., Suganthan, R., Bjørås, M., Hansen, K., Dalen, K. T., Fedorcsak, P., Ren, B., & Klungland, A.
- Venue
- Nature
- Published
- 2016-09-14
- Volume
- 537
- Issue
- 7621
- Pages
- 548-552
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2520906511
- Cited by
- 638
- References
- 11
- FWCI
- 26.48
- Type
- journal article
- Language
- en
- Open access
- green
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- Dahl, J. A., Jung, I., Aanes, H., Greggains, G. D., Manaf, A., Lerdrup, M., Li, G., Kuan, S., Li, B., Lee, A. Y., Preissl, S., Jermstad, I., Haugen, M. H., Suganthan, R., Bjørås, M., Hansen, K., Dalen, K. T., Fedorcsak, P., Ren, B., & Klungland, A. (2016). Broad histone H3K4me3 domains in mouse oocytes modulate maternal-to-zygotic transition. Nature. https://doi.org/10.1038/nature19360
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