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Genome-wide mapping of methylated adenine residues in pathogenic Escherichia coli using single-molecule real-time sequencing
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Single-molecule real-time (SMRT) DNA sequencing allows the systematic detection of chemical modifications such as methylation but has not previously been applied on a genome-wide scale. We used this approach to detect 49,311 putative 6-methyladenine (m6A) residues and 1,407 putative 5-methylcytosine (m5C) residues in the genome of a pathogenic Escherichia coli strain. We obtained strand-specific information for methylation sites and a quantitative assessment of the frequency of methylation at each modified position. We deduced the sequence motifs recognized by the methyltransferase enzymes present in this strain without prior knowledge of their specificity. Furthermore, we found that deletion of a phage-encoded methyltransferase-endonuclease (restriction-modification; RM) system induced global transcriptional changes and led to gene amplification, suggesting that the role of RM systems extends beyond protecting host genomes from foreign DNA.
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“Advanced next generation sequencing platforms such as Single Molecule Real-Time (SMRT) sequencing can be employed to reliably detect certain methylation signatures (Flusberg et al., 2010; Fang et al., 2012) as it has been done for C. autoethanogenum (Utturkar et al., 2015).”
From Gas Fermentation—A Flexible Platform for Commercial Scale Production of Low-Carbon-Fuels and Chemicals from Waste and Renewable Feedstocks (2016) · cites this paper as Fang et al., 2012
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Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890
One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products.
Datsenko, K., & Wanner, B. (2000) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.120163297 · Cited by 15,902
MEME SUITE: tools for motif discovery and searching
Bailey, T. L., Boden, M., Buske, F. A., Frith, M., Grant, C. E., Clementi, L., Ren, J., Li, W. W., & Noble, W. S. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkp335 · Cited by 10,648
A scaling normalization method for differential expression analysis of RNA-seq data
Robinson, M. D., & Oshlack, A. (2010) · Genome Biology · doi:10.1186/gb-2010-11-3-r25 · Cited by 7,876
Conversion of 5-Methylcytosine to 5-Hydroxymethylcytosine in Mammalian DNA by MLL Partner TET1
Tahiliani, M., Koh, K. P., Shen, Y., Pastor, W. A., Bandukwala, H., Brudno, Y., Agarwal, S., Iyer, L. M., Liu, D. R., Aravind, L., et al. (2009) · Science · doi:10.1126/science.1170116 · Cited by 5,836
Kaper, J. B., Nataro, J. P., & Mobley, H. L. T. (2004) · Nature Reviews Microbiology · doi:10.1038/nrmicro818 · Cited by 5,583
Guzman, L., Belin, D., Carson, M. J., & Beckwith, J. (1995) · Journal of Bacteriology · doi:10.1128/jb.177.14.4121-4130.1995 · Cited by 4,942
Accurate whole human genome sequencing using reversible terminator chemistry
Bentley, D. R., Balasubramanian, S., Swerdlow, H. P., Smith, G. P., Milton, J., Brown, C. G., Hall, K. P., Evers, D. J., Barnes, C. L., Bignell, H. R., et al. (2008) · Nature · doi:10.1038/nature07517 · Cited by 3,684
The Nuclear DNA Base 5-Hydroxymethylcytosine Is Present in Purkinje Neurons and the Brain
Kriaucionis, S., & Heintz, N. (2009) · Science · doi:10.1126/science.1169786 · Cited by 2,700
Epigenetic Transgenerational Actions of Endocrine Disruptors and Male Fertility
Anway, M. D., Cupp, A. S., Uzumcu, M., & Skinner, M. K. (2005) · Science · doi:10.1126/science.1108190 · Cited by 2,563
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Saak, C. C., Dinh, C. B., & Dutton, R. J. (2020) · FEMS Microbiology Reviews · doi:10.1093/femsre/fuaa025 · Cited by 58
Casselli, T., Tourand, Y., Scheidegger, A., Arnold, W. K., Proulx, A., Stevenson, B., & Brissette, C. A. (2018) · Journal of Bacteriology · doi:10.1128/jb.00395-18 · Cited by 52
Quantification and mapping of DNA modifications
Dai, Y., Yuan, B., & Feng, Y. (2021) · RSC Chemical Biology · doi:10.1039/d1cb00022e · Cited by 54
Gene, protein, and network of male sterility in rice
Wang, K., Peng, X., Ji, Y., Yang, P., Zhu, Y., & Li, S. (2013) · Frontiers in Plant Science · doi:10.3389/fpls.2013.00092 · Cited by 51
Birkholz, N., Jackson, S. A., Fagerlund, R. D., & Fineran, P. C. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac147 · Cited by 49
The complete methylome of Helicobacter pylori UM032
Lee, W. C., Anton, B. P., Wang, S., Baybayan, P. A., Singh, S., Ashby, M., Chua, E. G., Tay, C. Y., Thirriot, F., Loke, M. F., et al. (2015) · BMC Genomics · doi:10.1186/s12864-015-1585-2 · Cited by 49
The non-specific adenine DNA methyltransferase M.EcoGII
Murray, I. A., Morgan, R., Luyten, Y. A., Fomenkov, A. I., Junior, I. R. C., Dai, N., Allaw, M. B., Zhang, X., Cheng, X., & Roberts, R. J. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx1191 · Cited by 49
Doberenz, S., Eckweiler, D., Reichert, O., Jensen, V., Bunk, B., Spröer, C., Kordes, A., Frangipani, E., Luong, K., Korlach, J., et al. (2017) · mBio · doi:10.1128/mbio.02312-16 · Cited by 48
An adenine base editor variant expands context compatibility
Xiao, Y., Wu, Y., & Tang, W. (2024) · Nature Biotechnology · doi:10.1038/s41587-023-01994-3 · Cited by 48
Genome-Wide Methylation Patterns in Salmonella enterica Subsp. enterica Serovars
Pirone-Davies, C., Hoffmann, M., Roberts, R. J., Muruvanda, T., Timme, R., Strain, E. A., Luo, Y., Payne, J., Luong, K., Song, Y., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0123639 · Cited by 47
Chen, K., Luo, G., & He, C. (2015) · Methods in enzymology on CD-ROM/Methods in enzymology · doi:10.1016/bs.mie.2015.03.012 · Cited by 46
Efficient and accurate whole genome assembly and methylome profiling of E. coli
Powers, J., Weigman, V., Shu, J., Pufky, J. M., Cox, D., & Hurban, P. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-675 · Cited by 45
Munera, D., Ritchie, J. M., Hatzios, S. K., Bronson, R. T., Fang, G., Schadt, E. E., Davis, B. M., & Waldor, M. K. (2014) · Nature Communications · doi:10.1038/ncomms4080 · Cited by 45
Huo, W., Adams, H. M., Zhang, M. Q., & Palmer, K. L. (2015) · Journal of Bacteriology · doi:10.1128/jb.00130-15 · Cited by 43
Patho-epigenetics of Infectious Diseases Caused by Intracellular Bacteria
Niller, H. H., & Minárovits, J. (2015) · Advances in experimental medicine and biology · doi:10.1007/978-3-319-24738-0_6 · Cited by 44
Donkor, E. S. (2013) · Genes · doi:10.3390/genes4040556 · Cited by 40
Anton, B. P., Mongodin, E. F., Agrawal, S., Fomenkov, A. I., Byrd, D. R., Roberts, R. J., & Raleigh, E. A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0127446 · Cited by 43
Nucleotide Metabolism and DNA Replication
Warner, D. F., Evans, J. C., & Mizrahi, V. (2014) · Microbiology Spectrum · doi:10.1128/microbiolspec.mgm2-0001-2013 · Cited by 43
Shen, Z., Tang, C. M., & Liu, G. (2022) · Military Medical Research · doi:10.1186/s40779-021-00362-z · Cited by 42
Lavezzo, E., Barzon, L., Toppo, S., & Palù, G. (2016) · Expert Review of Molecular Diagnostics · doi:10.1080/14737159.2016.1217158 · Cited by 43
Cell Cycle Constraints and Environmental Control of Local DNA Hypomethylation in α-Proteobacteria
Ardissone, S., Redder, P., Russo, G., Frandi, A., Fumeaux, C., Patrignani, A., Schlapbach, R., Falquet, L., & Viollier, P. H. (2016) · PLoS Genetics · doi:10.1371/journal.pgen.1006499 · Cited by 39
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Levy‐Sakin, M., Grunwald, A., Kim, S., Gassman, N. R., Gottfried, A., Antelman, J., Kim, Y.-G., Ho, S. O., Samuel, R. L., Michalet, X., et al. (2013) · ACS Nano · doi:10.1021/nn4050694 · Cited by 40
Mammalian DNA N6-methyladenosine: Challenges and new insights
Feng, X., & He, C. (2023) · Molecular Cell · doi:10.1016/j.molcel.2023.01.005 · Cited by 37
Exploring the Roles of DNA Methylation in the Metal-Reducing Bacterium Shewanella oneidensis MR-1
Bendall, M. L., Luong, K., Wetmore, K. M., Blow, M. J., Korlach, J., Deutschbauer, A. M., & Malmstrom, R. R. (2013) · Journal of Bacteriology · doi:10.1128/jb.00935-13 · Cited by 38
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Rehman, M. U., Tayara, H., Zou, Q., & Chong, K. T. (2022) · Bioinformatics · doi:10.1093/bioinformatics/btac434 · Cited by 41
Murphy, J., Klumpp, J., Mahony, J., Motherway, M. O., Nauta, A., & van Sinderen, D. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-831 · Cited by 37
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Ning, B., Su, Z., Mei, N., Hong, H., Deng, H., Shi, L. M., Fuscoe, J. C., & Tolleson, W. H. (2014) · Journal of Environmental Science and Health Part C · doi:10.1080/10590501.2014.907460 · Cited by 37
Motherway, M. O., Watson, D., Bottacini, F., Clark, T. A., Roberts, R. J., Korlach, J., Garault, P., Chervaux, C., Vlieg, J. E. T. V. H., Smokvina, T., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0094875 · Cited by 36
Leonard, M. T., Davis‐Richardson, A. G., Ardissone, A. N., Kemppainen, K. M., Drew, J. C., Ilonen, J., Knip, M., Simell, O., Toppari, J., Veijola, R., et al. (2014) · Frontiers in Microbiology · doi:10.3389/fmicb.2014.00361 · Cited by 36
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Parivesh, A., Barseghyan, H., Délot, E. C., & Vilain, E. J. N. (2019) · Current topics in developmental biology/Current Topics in Developmental Biology · doi:10.1016/bs.ctdb.2019.01.005 · Cited by 37
Lee, S. H., Kim, M., Lee, J., Kim, T. W., Bae, S. S., Lee, S.-M., Jung, H. C., Yang, T.-J., Choi, A. R., Cho, Y.-J., et al. (2016) · Scientific Reports · doi:10.1038/srep22896 · Cited by 35
Microevolution of Virulence-Related Genes in Helicobacter pylori Familial Infection
Furuta, Y., Konno, M., Osaki, T., Yonezawa, H., Ishige, T., Imai, M., Shiwa, Y., Shibata-Hatta, M., Kanesaki, Y., Yoshikawa, H., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0127197 · Cited by 35
Sobecki, M., Souaid, C., Boulay, J., Guérineau, V., Noordermeer, D., & Crabbé, L. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.11.027 · Cited by 35
Riley, L. A., Ji, L., Schmitz, R. J., Westpheling, J., & Guss, A. M. (2019) · Journal of Industrial Microbiology & Biotechnology · doi:10.1007/s10295-019-02218-x · Cited by 34
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Xu, Y., Liu, S., Zhang, Y., & Zhang, W. (2021) · Microbiological Research · doi:10.1016/j.micres.2021.126709 · Cited by 34
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Srikhanta, Y. N., Gorrell, R. J., Power, P. M., Tsyganov, K., Boitano, M., Clark, T. A., Korlach, J., Hartland, E. L., Jennings, M. P., & Kwok, T. (2017) · Scientific Reports · doi:10.1038/s41598-017-15721-x · Cited by 33
Chávez, L., Huang, Y., Luong, K., Agarwal, S., Iyer, L. M., Pastor, W. A., Hench, V. K., Frazier‐Bowers, S. A., Korol, E., Liu, S., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1419513111 · Cited by 33
Hu, L., Xiao, P., Jiang, Y., Dong, M., Chen, Z., Li, H., Hu, Z., Lei, A., & Wang, J. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.01479 · Cited by 33
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Huo, W., Adams, H. M., Trejo, C., Badia, R., & Palmer, K. L. (2018) · Applied and Environmental Microbiology · doi:10.1128/aem.02174-18 · Cited by 32
Beta class amino methyltransferases from bacteria to humans: evolution and structural consequences
Woodcock, C. B., Horton, J. R., Zhang, X., Blumenthal, R., & Cheng, X. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa446 · Cited by 31
The regulatory role of N6 ‐methyladenosine modification in the interaction between host and microbes
Zhuo, R., Xu, M., Wang, X., Zhou, B., Wu, X., Leone, V., Chang, E. B., & Zhong, X. (2022) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1725 · Cited by 31
Dong, W., Li, M., Li, Z., Li, S., Zhu, Y., Hongxu, & Wang, Z. (2019) · Plant Physiology and Biochemistry · doi:10.1016/j.plaphy.2019.11.027 · Cited by 31
Kim, M., Zorraquino, V., & Tagkopoulos, I. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004127 · Cited by 30
Feng, Z., Li, J., Zhang, J.-R., & Zhang, X. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku1097 · Cited by 30
Chhotaray, C., Wang, S., Tan, Y., Ali, A., Shehroz, M., Fang, C., Liu, Y., Lu, Z., Cai, X., Hameed, H. M. A., et al. (2019) · G3 Genes Genomes Genetics · doi:10.1534/g3.119.400737 · Cited by 28
Forde, B. M., Phan, M., Gawthorne, J. A., Ashcroft, M. M., Stanton-Cook, M. J., Sarkar, S., Peters, K. M., Chan, K., Chong, T. M., Yin, W., et al. (2015) · mBio · doi:10.1128/mbio.01602-15 · Cited by 27
Beatson, S. A., Zakour, N. L. B., Totsika, M., Forde, B. M., Watts, R. E., Mabbett, A. N., Szubert, J. M., Sarkar, S., Phan, M., Peters, K. M., et al. (2015) · Infection and Immunity · doi:10.1128/iai.02810-14 · Cited by 28
Zeng, T., Zhang, L., Li, J., Wang, D., Tian, Y., & Lu, L. (2015) · Cell Stress and Chaperones · doi:10.1007/s12192-015-0573-4 · Cited by 28
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Couturier, M., & Lindås, A. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.00137 · Cited by 28
Payelleville, A., Legrand, L., Ogier, J.-C., Lopez‐Roques, C., Roulet, A., Bouchez, O., Mouammine, A., Givaudan, A., & Brillard, J. (2018) · Scientific Reports · doi:10.1038/s41598-018-30620-5 · Cited by 27
Lim, A., Naidenov, B., Bates, H., Willyerd, K. L., Snider, T. A., Couger, M. B., Chen, C., & Ramachandran, A. (2018) · Journal of Microbiological Methods · doi:10.1016/j.mimet.2019.03.001 · Cited by 26
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Jensen, T. Ø., Tellgren‐Roth, C., Redl, S., Maury, J., Jacobsen, S. A. B., Pedersen, L. E., & Nielsen, A. T. (2019) · Nature Communications · doi:10.1038/s41467-019-11179-9 · Cited by 27
Downing, T. (2015) · Microorganisms · doi:10.3390/microorganisms3020236 · Cited by 26
Crits‐Christoph, A., Kang, S. C., Lee, H. H., & Ostrov, N. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.11.13.566931 · Cited by 26
Hahn, A., Hung, G. C. C., Ahier, A., Dai, C.-Y., Kirmes, I., Forde, B. M., Campbell, D., Lee, R. S. Y., Sucic, J. T., Onraet, T., et al. (2024) · Cell Metabolism · doi:10.1016/j.cmet.2024.07.020 · Cited by 25
Li, S., Cai, J., Lu, H., Mao, S., Dai, S., Hu, J., Wang, L., Hua, X., Xu, H., Tian, B., et al. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.01905 · Cited by 26
Vandenbussche, I., Sass, A. M., Pinto‐Carbó, M., Mannweiler, O., Eberl, L., & Coenye, T. (2020) · mSphere · doi:10.1128/msphere.00455-20 · Cited by 26
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Fu, J., Zhang, J., Li, Y., Ding, N., Yue, L., Zhang, X., Lu, D., Jia, X., Li, C., Guo, C., et al. (2021) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2021.04.002 · Cited by 26
Mou, K. T. Y., Muppirala, U. K., Severin, A. J., Clark, T. A., Boitano, M., & Plummer, P. J. (2015) · Frontiers in Microbiology · doi:10.3389/fmicb.2014.00782 · Cited by 26
Chen, P., Jeannotte, R., & Weimer, B. C. (2014) · Trends in Microbiology · doi:10.1016/j.tim.2014.03.005 · Cited by 25
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Seong, H. J., Roux, S., Hwang, C. Y., & Sul, W. J. (2022) · Microbiome · doi:10.1186/s40168-022-01340-w · Cited by 24
Thomas, P., Semmler, T., Eichhorn, I., Lübke‐Becker, A., Werckenthin, C., Abdel‐Glil, M. Y., Wieler, L. H., Neubauer, H., & Seyboldt, C. (2017) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2017.07.018 · Cited by 23
Hu, W., Luo, H., Yang, Y., Wang, Q., Hóng, N., Wang, G., Wang, A., & Wang, L. (2019) · IMA Fungus · doi:10.1186/s43008-019-0008-4 · Cited by 23
Ouellette, M., Jackson, L. K., Chimileski, S., & Papke, R. T. (2015) · Frontiers in Microbiology · doi:10.3389/fmicb.2015.00251 · Cited by 23
Holmfeldt, K., Solonenko, N., Howard‐Varona, C., Moreno, M., Malmstrom, R. R., Blow, M. J., & Sullivan, M. B. (2016) · Environmental Microbiology · doi:10.1111/1462-2920.13392 · Cited by 23
Zhao, L., Song, Y., Li, L., Gan, N., Brand, J. J., & Song, L. (2018) · Harmful Algae · doi:10.1016/j.hal.2018.04.005 · Cited by 22
Sullivan, M. J., Altman, D. R., Chacko, K., Ciferri, B., Webster, E., Pak, T. R., Deikus, G. Y., Lewis-Sandari, M., Khan, Z., Beckford, C., et al. (2019) · Journal of Clinical Microbiology · doi:10.1128/jcm.01261-19 · Cited by 21
Yuan, D.-H., Xing, J.-F., Luan, M., Ji, K.-K., Guo, J., Xie, S., & Zhang, Y. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.00736 · Cited by 22
Horton, J. R., Zhang, X., Blumenthal, R., & Cheng, X. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv251 · Cited by 20
Mohammed, M., & Cormican, M. (2015) · BMC Research Notes · doi:10.1186/s13104-015-1687-6 · Cited by 20
Plasmid replication-associated single-strand-specific methyltransferases
Fomenkov, A. I., Sun, Z., Murray, I. A., Ruse, C. I., McClung, C. M., Yamaichi, Y., Raleigh, E. A., & Roberts, R. J. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa1163 · Cited by 20
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Yano, H., Alam, M. Z., Rimbara, E., Shibata, T., Fukuyo, M., Furuta, Y., Nishiyama, T., Shigenobu, S., Hasebe, M., Toyoda, A., et al. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.01628 · Cited by 19
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Chhotaray, C., Tan, Y., Mugweru, J., Islam, M. M., Hameed, H. M. A., Wang, S., Lu, Z., Wang, C., Li, X., Tan, S., et al. (2018) · Journal of genetics and genomics/Journal of Genetics and Genomics · doi:10.1016/j.jgg.2018.06.003 · Cited by 17
Choi, M., Genereux, D. P., Goodson, J. M., Al-Azzawi, H., Allain, S. Q., Simon, N., Palasek, S., Ware, C. B., Cavanaugh, C., Miller, D. G., et al. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1007060 · Cited by 18
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Chachar, S., Liu, J., Zhang, P., Riaz, A., Guan, C., & Liu, S. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.668317 · Cited by 18
Zhuo, L., Wang, R., Fu, X., & Yao, X. (2023) · BMC Genomics · doi:10.1186/s12864-023-09802-7 · Cited by 16
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Cao, G., Allard, M. W., Strain, E. A., Stones, R., Zhao, S., Brown, E. W., & Meng, J. (2014) · Foodborne Pathogens and Disease · doi:10.1089/fpd.2014.1784 · Cited by 17
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Costessi, A., van den Bogert, B., May, A., van Themaat, E. V. L., Roubos, J. A., Kolkman, M. A. B., Butler, D., & Pirovano, W. (2018) · FEMS Microbiology Letters · doi:10.1093/femsle/fny103 · Cited by 17
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Kako, K., Kim, J., & Fukamizu, A. (2018) · The Journal of Biochemistry · doi:10.1093/jb/mvy075 · Cited by 19
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Carter, M. Q., Pham, A., Du, W., & He, X. (2020) · International Journal of Food Microbiology · doi:10.1016/j.ijfoodmicro.2020.109029 · Cited by 17
De novo assembly and delivery of synthetic megabase-scale human DNA into mouse early embryos
Liu, Y., Zhou, J., Liu, D., Hu, X., Yang, L., Song, X., Jin, X., Xie, W., Yang, L., Liu, Z., et al. (2025) · Nature Methods · doi:10.1038/s41592-025-02746-8 · Cited by 17
Zhu, L. X., Yin, L., Xue, J., Wang, Z., & Nie, Z. (2018) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.8b16694 · Cited by 16
Microfluidic epigenomic mapping technologies for precision medicine
Deng, C., Naler, L. B., & Lu, C. (2019) · Lab on a Chip · doi:10.1039/c9lc00407f · Cited by 17
Yu, B., Zhang, Y., Wang, X., Gao, H., Sun, J., & Gao, X. (2022) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2022.103566 · Cited by 16
Zheng, Q., Wang, T., Li, X., Qian, H., Bian, X., Li, X., Bai, H., Ding, S., & Yan, Y. (2021) · Journal of Nanobiotechnology · doi:10.1186/s12951-021-01156-0 · Cited by 16
Sater, M., Lamelas, A., Wang, G., Clark, T. A., Röltgen, K., Mane, S., Korlach, J., Pluschke, G., & Schmid, C. D. (2015) · PLoS ONE · doi:10.1371/journal.pone.0144612 · Cited by 16
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Mehershahi, K. S., & Chen, S. L. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab530 · Cited by 16
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Carter, M. Q., Pham, A., Huynh, S., Parker, C. T., Miller, A., He, X., Hu, B., & Chain, P. (2020) · Food Microbiology · doi:10.1016/j.fm.2020.103722 · Cited by 15
Yang, X., Ye, X., Li, X., & Wei, L. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.663572 · Cited by 15
Murray, I. A., Luyten, Y. A., Fomenkov, A. I., Dai, N., Junior, I. R. C., Farmerie, W. G., Clark, T. A., Korlach, J., Morgan, R., & Roberts, R. J. (2021) · PLoS ONE · doi:10.1371/journal.pone.0253267 · Cited by 15
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Kong, Y., Chen, H., Mead, E. A., Zhang, Y., Loo, C. E., Fan, Y., Ni, M., Thorn, E. L., Zuluaga, L., Badani, K. K., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.11.19.624260 · Cited by 14
Metadata
- Authors
- Fang, G., Munera, D., Friedman, D. I., Mandlik, A., Chao, M. C., Banerjee, O., Feng, Z., Losic, B., Mahajan, M. C., Jabado, O. J., Deikus, G., Clark, T. A., Luong, K., Murray, I. A., Davis, B. M., Keren-Paz, A., Chess, A., Roberts, R. J., Korlach, J., Turner, S. W., Kumar, V., Waldor, M. K., & Schadt, E. E.
- Affiliations
- University of Minnesota (US)
- Brigham and Women's Hospital (US)
- University of Michigan (US)
- Pacific Biosciences (United States) (US)
- Stanford University (US)
- Icahn School of Medicine at Mount Sinai (US)
- New England Biolabs (United States) (US)
- Corresponding author
- Waldor, Matthew K
- Schadt, Eric E
- ORCID
- Venue
- Nature Biotechnology
- Published
- 2012-11-08
- Volume
- 30
- Issue
- 12
- Pages
- 1232-1239
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- PMC
- PMC3879109
- OpenAlex
- W2025361601
- Cited by
- 360
- References
- 51
- Citations by year
- 2026: 7 · 2025: 21 · 2024: 19 · 2023: 19 · 2022: 24 · 2021: 24 · 2020: 29 · 2019: 30 · 2018: 36 · 2017: 19 · 2016: 25 · 2015: 44 · 2014: 31 · 2013: 25 · 2012: 4
- FWCI
- 13.38
- Type
- journal article
- Language
- en
- Update notices
- erratum (2013-06-10)
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature Biotechnology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Science Foundation (0916439)
- Howard Hughes Medical Institute
- National Institutes of Health
- National Institute of General Medical Sciences (R44GM100560, R44GM105125)
- National Institute of Allergy and Infectious Diseases (R37AI-42347, R37AI042347)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA modifications and cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Keywords
- DNA methylation, 6-methyladenine, 5-methylcytosine, Escherichia coli, single-molecule real-time sequencing, restriction-modification systems, gene amplification, gene expression changes, genome-wide methylation mapping
- MeSH terms
- Adenine, Biotechnology, Chromosome Mapping, DNA, Bacterial, Escherichia coli, Gene Amplification, Spiro Compounds, Substrate Specificity, DNA Restriction-Modification Enzymes, Genome, Bacterial, Gene Deletion, Sequence Analysis, DNA, DNA Methylation, 5-Methylcytosine
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