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Cross-talk among writers, readers, and erasers of m 6 A regulates cancer growth and progression
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Collaboration among writers-readers-erasers of m 6 A regulates the stability of tumor-specific genes.
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Cites
Topology of the human and mouse m6A RNA methylomes revealed by m6A-seq
Dominissini, D., Moshitch-Moshkovitz, S., Schwartz, S., Salmon-Divon, M., Ungar, L., Osenberg, S., Cesarkas, K., Jacob-Hirsch, J., Amariglio, N., Kupiec, M., et al. (2012) · Nature · doi:10.1038/nature11112 · Cited by 4,884
N6-Methyladenosine in nuclear RNA is a major substrate of the obesity-associated FTO
Jia, G., Fu, Y., Zhao, X., Dai, Q., Zheng, G., Yang, Y., Yi, C., Lindahl, T., Pan, T., Yang, Y.-G., et al. (2011) · Nature Chemical Biology · doi:10.1038/nchembio.687 · Cited by 4,106
Massagué, J. (2008) · Cell · doi:10.1016/j.cell.2008.07.001 · Cited by 3,907
A METTL3–METTL14 complex mediates mammalian nuclear RNA N6-adenosine methylation
Liu, J., Yue, Y., Han, D., Wang, X., Fu, Y., Zhang, L., Jia, G., Yu, M., Lu, Z., Deng, X., et al. (2014) · Nature Chemical Biology · doi:10.1038/nchembio.1432 · Cited by 3,433
Mammalian WTAP is a regulatory subunit of the RNA N6-methyladenosine methyltransferase
Ping, X.-L., Sun, B.-F., Wang, L., Xiao, W., Yang, X., Wang, W.-J., Adhikari, S., Shi, Y., Lv, Y., Chen, Y.-S., et al. (2014) · Cell Research · doi:10.1038/cr.2014.3 · Cited by 2,375
Self-citationGene expression regulation mediated through reversible m6A RNA methylation
Fu, Y., Dominissini, D., Rechavi, G., & He, C. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3724 · Cited by 1,935
Massagué, J. (2000) · Nature Reviews Molecular Cell Biology · doi:10.1038/35043051 · Cited by 1,899
5′ UTR m6A Promotes Cap-Independent Translation
Meyer, K. D., Patil, D. P., Zhou, J., Zinoviev, A., Skabkin, M. A., Elemento, O., Pestova, T. V., Qian, S.-B., & Jaffrey, S. R. (2015) · Cell · doi:10.1016/j.cell.2015.10.012 · Cited by 1,806
The m(6)A Methyltransferase METTL3 Promotes Translation in Human Cancer Cells
Lin, S., Choe, J., Du, P., Triboulet, R., & Gregory, R. I. (2016) · Molecular Cell · doi:10.1016/j.molcel.2016.03.021 · Cited by 1,531
FTO Plays an Oncogenic Role in Acute Myeloid Leukemia as a N 6 -Methyladenosine RNA Demethylase
Li, Z., Weng, H., Su, R., Weng, X., Zuo, Z., Li, C., Huang, H., Nachtergaele, S., Dong, L., Hu, C., et al. (2017) · Cancer Cell · doi:10.1016/j.ccell.2016.11.017 · Cited by 1,508
N6-methyladenosine modification destabilizes developmental regulators in embryonic stem cells
Wang, Y., Li, Y., Toth, J. I., Petroski, M. D., Zhang, Z., & Zhao, J. C. (2014) · Nature Cell Biology · doi:10.1038/ncb2902 · Cited by 1,290
m6A RNA Methylation Regulates the Self-Renewal and Tumorigenesis of Glioblastoma Stem Cells
Cui, Q., Shi, H., Ye, P., Li, L., Qu, Q., Sun, G., Sun, G., Lu, Z., Huang, Y., Yang, C.-G., et al. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.02.059 · Cited by 1,252
Self-citationDynamic m6A mRNA methylation directs translational control of heat shock response
Zhou, J., Wan, J., Gao, X., Zhang, X., Jaffrey, S. R., & Qian, S.-B. (2015) · Nature · doi:10.1038/nature15377 · Cited by 1,236
m6A RNA Modification Controls Cell Fate Transition in Mammalian Embryonic Stem Cells
Batista, P. J., Molinie, B., Wang, J., Qu, K., Zhang, J., Li, L., Bouley, D. M., Lujan, E., Haddad, B., Daneshvar, K., et al. (2014) · Cell Stem Cell · doi:10.1016/j.stem.2014.09.019 · Cited by 1,203
Reversible methylation of m6Am in the 5′ cap controls mRNA stability
Mauer, J., Luo, X., Blanjoie, A., Jiao, X., Grozhik, A. V., Patil, D. P., Linder, B., Pickering, B. F., Vasseur, J.-J., Chen, Q., et al. (2017) · Nature · doi:10.1038/nature21022 · Cited by 1,062
The dynamic epitranscriptome: N6-methyladenosine and gene expression control
Meyer, K. D., & Jaffrey, S. R. (2014) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3785 · Cited by 1,060
m6A mRNA methylation controls T cell homeostasis by targeting the IL-7/STAT5/SOCS pathways
Li, H.-B., Tong, J., Zhu, S., Batista, P. J., Duffy, E. E., Zhao, J., Bailis, W., Cao, G., Kroehling, L., Chen, Y., et al. (2017) · Nature · doi:10.1038/nature23450 · Cited by 977
Self-citationRNA-Methylation-Dependent RNA Processing Controls the Speed of the Circadian Clock
Fustin, J.-M., Doi, M., Yamaguchi, Y., Hida, H., Nishimura, S., Yoshida, M., Isagawa, T., Morioka, M. S., Kakeya, H., Manabe, I., et al. (2013) · Cell · doi:10.1016/j.cell.2013.10.026 · Cited by 976
Zhang, C., Samanta, D., Lu, H., Bullen, J. W., Zhang, H., Chen, I., He, X., & Semenza, G. L. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1602883113 · Cited by 971
RNA N6-methyladenosine methylation in post-transcriptional gene expression regulation
Yue, Y., Liu, J., & He, C. (2015) · Genes & Development · doi:10.1101/gad.262766.115 · Cited by 922
Ma, J., Yang, F., Zhou, C., Liu, F., Yuan, J., Wang, F., Wang, T., Xu, Q., Zhou, W., & Sun, S. (2017) · Hepatology · doi:10.1002/hep.28885 · Cited by 912
Padua, D., & Massagué, J. (2009) · Cell Research · doi:10.1038/cr.2008.316 · Cited by 809
RBPmap: a web server for mapping binding sites of RNA-binding proteins
Paz, I., Kosti, I., Ares, M., Cline, M., & Mandel-Gutfreund, Y. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku406 · Cited by 579
m6A RNA Methylation Is Regulated by MicroRNAs and Promotes Reprogramming to Pluripotency
Chen, T., Hao, Y.-J., Zhang, Y., Li, M.-M., Wang, M., Han, W., Wu, Y., Lv, Y., Hao, J., Wang, L., et al. (2015) · Cell Stem Cell · doi:10.1016/j.stem.2015.01.016 · Cited by 551
Transforming growth factor-β employs HMGA2 to elicit epithelial–mesenchymal transition
Thuault, S., Valcourt, U., Petersen, M., Manfioletti, G., Heldin, C.-H., & Moustakas, A. (2006) · The Journal of Cell Biology · doi:10.1083/jcb.200512110 · Cited by 499
Edlund, S., Landström, M., Heldin, C.-H., & Aspenström, P. (2002) · Molecular Biology of the Cell · doi:10.1091/mbc.01-08-0398 · Cited by 418
Meng, J., Lu, Z., Liu, H., Zhang, L., Zhang, S., Chen, Y., Rao, M. K., & Huang, Y. (2014) · Methods · doi:10.1016/j.ymeth.2014.06.008 · Cited by 375
Self-citationNabors, B., Gillespie, G. Y., Harkins, L. E., & King, P. H. (2001) · PubMed · Cited by 312
Identification of HuR as a protein implicated in AUUUA‐mediated mRNA decay
Myer, V. E., Fan, X. C., & Steitz, J. A. (1997) · The EMBO Journal · doi:10.1093/emboj/16.8.2130 · Cited by 302
Zhang, C., Zhi, W. I., Lu, H., Samanta, D., Chen, I., Gabrielson, E., & Semenza, G. L. (2016) · Oncotarget · doi:10.18632/oncotarget.11743 · Cited by 259
A crucial function of PDGF in TGF-β-mediated cancer progression of hepatocytes
Gotzmann, J., Fischer, A. N. M., Zojer, M., Mikula, M., Proell, V, Huber, H., Jechlinger, M., Waerner, T., Weith, A., Beug, H., et al. (2006) · Oncogene · doi:10.1038/sj.onc.1209083 · Cited by 223
Exome-based analysis for RNA epigenome sequencing data
Meng, J., Cui, X., Rao, M. K., Chen, Y., & Huang, Y. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt171 · Cited by 193
Self-citationCui, X., Wei, Z., Zhang, L., Liu, H., Sun, L., Zhang, S.-W., Huang, Y., & Meng, J. (2016) · BioMed Research International · doi:10.1155/2016/8367534 · Cited by 160
Self-citationDai, W., Zhang, G., & Makeyev, E. V. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr783 · Cited by 154
Reading RNA methylation codes through methyl-specific binding proteins
Wang, X., & He, C. (2014) · RNA Biology · doi:10.4161/rna.28829 · Cited by 131
Post-Transcriptional Control of the Hypoxic Response by RNA-Binding Proteins and MicroRNAs
Gorospe, M., Tominaga, K., Wu, X., Fähling, M., & Ivan, M. (2011) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2011.00007 · Cited by 116
Emerging links between m6A and misregulated mRNA methylation in cancer
Jaffrey, S. R., & Kharas, M. G. (2017) · Genome Medicine · doi:10.1186/s13073-016-0395-8 · Cited by 108
Dai, M., Al-Odaini, A. A., Fils-Aimé, N., Villatoro, M., Guo, J., Arakelian, A., Rabbani, S. A., Ali, S., & Lebrun, J. J. (2013) · Breast Cancer Research · doi:10.1186/bcr3441 · Cited by 103
Rajamanickam, S., Subbarayalu, P., Gorthi, A., Timilsina, S., Onyeagucha, B. C., Kovalskyy, D., Ivanov, D., Hanes, M. A., Vadlamudi, R. K., Chen, Y., et al. (2016) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-15-2535 · Cited by 58
Self-citationBuratti, E., & Baralle, F. E. (2011) · FEBS Journal · doi:10.1111/j.1742-4658.2011.08257.x · Cited by 57
Kotta‐Loizou, I., Vasilopoulos, S. N., Coutts, R. H. A., & Theocharis, S. E. (2016) · Neoplasia · doi:10.1016/j.neo.2016.09.002 · Cited by 56
Role of RNA binding protein HuR in ductal carcinoma in situ of the breast
Heinonen, M., Hemmes, A., Salmenkivi, K., Abdelmohsen, K., Vilén, S., Laakso, M., Leidenius, M., Salo, T. A., Hautaniemi, S., Gorospe, M., et al. (2011) · The Journal of Pathology · doi:10.1002/path.2889 · Cited by 44
Regulation of AU-Rich Element RNA Binding Proteins by Phosphorylation and the Prolyl Isomerase Pin1
Shen, Z.-J., & Malter, J. S. (2015) · Biomolecules · doi:10.3390/biom5020412 · Cited by 38
Expression of connective tissue growth factor in pancreatic cancer cell lines
Kwon, S. W., Munroe, X., Crawley, S., Lee, H. J., Spong, S. M., Bradham, D. M., Gum, J. R., Sleisenger, M. H., & Kim, Y. S. (2007) · International Journal of Oncology · doi:10.3892/ijo.31.4.693 · Cited by 31
Cited by
Chen, Y., Peng, C., Chen, J., Chen, D., Yang, B., He, B., Hu, W., Zhang, Y., Liu, H., Dai, L., et al. (2019) · Molecular Cancer · doi:10.1186/s12943-019-1053-8 · Cited by 630
Self-citationMolecular characterization and clinical relevance of m6A regulators across 33 cancer types
Li, Y., Xiao, J., Bai, J., Tian, Y., Qu, Y., Chen, X., Wang, Q., Li, X., Zhang, Y., & Xu, J. (2019) · Molecular Cancer · doi:10.1186/s12943-019-1066-3 · Cited by 398
Zhang, C., Zhang, M., Ge, S., Huang, W., Lin, X., Gao, J., Gong, J., & Shen, L. (2019) · Cancer Medicine · doi:10.1002/cam4.2360 · Cited by 283
You, A., Tian, W., Yuan, H., Gu, L., Zhou, J., & Deng, D. (2022) · Oncogene · doi:10.1038/s41388-022-02402-x · Cited by 27
Metadata
- Authors
- Panneerdoss, S., Eedunuri, V. K., Yadav, P., Timilsina, S., Rajamanickam, S., Viswanadhapalli, S., Abdelfattah, N., Onyeagucha, B. C., Cui, X., Lai, Z., Mohammad, T. A., Gupta, Y. K., Huang, T. H.-M., Huang, Y., Chen, Y., & Rao, M. K.
- Venue
- Science Advances
- Published
- 2018-10-05
- Volume
- 4
- Issue
- 10
- Pages
- eaar8263-eaar8263
- ISSN
- 2375-2548 (ISSN-L)
- OpenAlex
- W2895593282
- Cited by
- 339
- References
- 44
- FWCI
- 13.58
- Type
- journal article
- Language
- en
- Open access
- gold
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