The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
In vivo simultaneous transcriptional activation of multiple genes in the brain using CRISPR–dCas9-activator transgenic mice
Abstract
Despite rapid progresses in the genome-editing field, in vivo simultaneous overexpression of multiple genes remains challenging. We generated a transgenic mouse using an improved dCas9 system that enables simultaneous and precise in vivo transcriptional activation of multiple genes and long noncoding RNAs in the nervous system. As proof of concept, we were able to use targeted activation of endogenous neurogenic genes in these transgenic mice to directly and efficiently convert astrocytes into functional neurons in vivo. This system provides a flexible and rapid screening platform for studying complex gene networks and gain-of-function phenotypes in the mammalian brain.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“a mechanism which is known to regulate LD concentrations27–29”
From APOE4/4 is linked to damaging lipid droplets in Alzheimer’s disease microglia (2024) · cites this paper as [29]
Citations
Cites
Takahashi, K., & Yamanaka, S. (2006) · Cell · doi:10.1016/j.cell.2006.07.024 · Cited by 26,673
Repurposing CRISPR as an RNA-Guided Platform for Sequence-Specific Control of Gene Expression
Qi, L. S., Larson, M. H., Gilbert, L. A., Doudna, J. A., Weissman, J. S., Arkin, A. P., & Lim, W. A. (2013) · Cell · doi:10.1016/j.cell.2013.02.022 · Cited by 5,016
Preparation of separate astroglial and oligodendroglial cell cultures from rat cerebral tissue.
McCarthy, K. D., & de Vellis, J. (1980) · The Journal of Cell Biology · doi:10.1083/jcb.85.3.890 · Cited by 3,825
CRISPR-Mediated Modular RNA-Guided Regulation of Transcription in Eukaryotes
Gilbert, L. A., Larson, M. H., Morsut, L., Liu, Z., Brar, G. A., Torres, S. E., Stern-Ginossar, N., Brandman, O., Whitehead, E. H., Doudna, J. A., et al. (2013) · Cell · doi:10.1016/j.cell.2013.06.044 · Cited by 3,696
Expression of a single transfected cDNA converts fibroblasts to myoblasts
Davis, R. L., Weintraub, H. M., & Lassar, A. B. (1987) · Cell · doi:10.1016/0092-8674(87)90585-x · Cited by 3,388
Genome-scale transcriptional activation by an engineered CRISPR-Cas9 complex
Konermann, S., Brigham, M. D., Trevino, A. E., Joung, J., Abudayyeh, O. O., Barcena, C., Hsu, P. D., Habib, N., Gootenberg, J. S., Nishimasu, H., et al. (2015) · Nature · doi:10.1038/nature14136 · Cited by 2,825
Genome-Scale CRISPR-Mediated Control of Gene Repression and Activation
Gilbert, L. A., Horlbeck, M. A., Adamson, B., Villalta, J. E., Chen, Y., Whitehead, E. H., Guimaraes, C., Panning, B., Ploegh, H. L., Bassik, M. C., et al. (2014) · Cell · doi:10.1016/j.cell.2014.09.029 · Cited by 2,728
Hilton, I. B., D’Ippolito, A. M., Vockley, C. M., Thakore, P. I., Crawford, G. E., Reddy, T. E., & Gersbach, C. A. (2015) · Nature Biotechnology · doi:10.1038/nbt.3199 · Cited by 1,931
Mali, P., Aach, J., Stranges, P. B., Esvelt, K. M., Moosburner, M., Kosuri, S., Yang, L., & Church, G. M. (2013) · Nature Biotechnology · doi:10.1038/nbt.2675 · Cited by 1,752
Hydrodynamics-based transfection in animals by systemic administration of plasmid DNA
Liu, F., Song, Y. K., & Liu, D. (1999) · Gene Therapy · doi:10.1038/sj.gt.3300947 · Cited by 1,728
Self-citation
Cited by
Sorted by citations
CRISPR/Cas9 therapeutics: progress and prospects
Li, T., Yang, Y., Qi, H., Cui, W., Zhang, L., Fu, X., He, X., Liu, M., Li, P., & Yu, T. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01309-7 · Cited by 824
APOE4/4 is linked to damaging lipid droplets in Alzheimer’s disease microglia
Haney, M. S., Pálovics, R., Munson, C. N., Long, C., Johansson, P. K., Yip, O., Dong, W., Rawat, E., West, E., Schlachetzki, J. C. M., et al. (2024) · Nature · doi:10.1038/s41586-024-07185-7 · Cited by 536
“…indicate that GNE-317 treatment reduced LD concentrations through increasing autophagy, a mechanism which is known to regulate LD concentrations 27–29 ; however, these observations do not conclusively show increased autophagic flux after GNE-317 treatment. were then grown in complete media…”
Engineering the next generation of cell-based therapeutics
Bashor, C. J., Hilton, I. B., Bandukwala, H. S., Smith, D. M., & Omid Veiseh, A. (2022) · Nature Reviews Drug Discovery · doi:10.1038/s41573-022-00476-6 · Cited by 472
Glia-to-Neuron Conversion by CRISPR-CasRx Alleviates Symptoms of Neurological Disease in Mice
Zhou, H., Su, J., Hu, X., Zhou, C., Li, H., Chen, Z., Xiao, Q., Wang, B., Wu, W., Sun, Y., et al. (2020) · Cell · doi:10.1016/j.cell.2020.03.024 · Cited by 437
Self-citationTissue Engineering and Regenerative Medicine: Achievements, Future, and Sustainability in Asia
Han, F., Wang, J., Ding, L., Hu, Y., Li, W., Yuan, Z., Guo, Q., Zhu, C., Yu, L., Wang, H., et al. (2020) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2020.00083 · Cited by 382
A CRISPR–dCas Toolbox for Genetic Engineering and Synthetic Biology
Xu, X., & Qi, L. S. (2018) · Journal of Molecular Biology · doi:10.1016/j.jmb.2018.06.037 · Cited by 296
CRISPR technologies for genome, epigenome and transcriptome editing
Villiger, L., Joung, J., Koblan, L. W., Weissman, J. S., Abudayyeh, O. O., & Gootenberg, J. S. (2024) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-023-00697-6 · Cited by 280
Colasante, G., Lignani, G., Brusco, S., Berardino, C. D., Carpenter, J. C., Giannelli, S. G., Valassina, N., Bido, S., Ricci, R., Castoldi, V., et al. (2019) · Molecular Therapy · doi:10.1016/j.ymthe.2019.08.018 · Cited by 246
SETD2 Restricts Prostate Cancer Metastasis by Integrating EZH2 and AMPK Signaling Pathways
Yuan, H., Han, Y., Wang, X., Li, N., Liu, Q., Yin, Y., Wang, H., Pan, L., Li, L., Song, K., et al. (2020) · Cancer Cell · doi:10.1016/j.ccell.2020.05.022 · Cited by 211
Self-citationA dopamine-induced gene expression signature regulates neuronal function and cocaine response
Savell, K. E., Tuscher, J. J., Zipperly, M. E., Duke, C. G., Phillips, R. A., Bauman, A. J., Thukral, S., Sultan, F. A., Goska, N. A., Ianov, L., et al. (2020) · Science Advances · doi:10.1126/sciadv.aba4221 · Cited by 180
How the epigenome integrates information and reshapes the synapse
Campbell, R. R., & Wood, M. A. (2019) · Nature reviews. Neuroscience · doi:10.1038/s41583-019-0121-9 · Cited by 185
Chen, L., Lin, Y. T., Gallegos, D. A., Hazlett, M. F., Gómez-Schiavon, M., Yang, M. G., Kalmeta, B., Zhou, A. S., Holtzman, L., Gersbach, C. A., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.01.032 · Cited by 160
Editing the Epigenome: Reshaping the Genomic Landscape
Holtzman, L., & Gersbach, C. A. (2018) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-083117-021632 · Cited by 147
CRISPR-Cas-mediated transcriptional modulation: The therapeutic promises of CRISPRa and CRISPRi
Bendixen, L., Jensen, T. I., & Bak, R. O. (2023) · Molecular Therapy · doi:10.1016/j.ymthe.2023.03.024 · Cited by 150
Transgenic mice for in vivo epigenome editing with CRISPR-based systems
Gemberling, M. P., Siklenka, K., Rodriguez, E., Eisinger, K. R. T., Barrera, A., Liu, F., Kantor, A., Li, L., Cigliola, V., Hazlett, M. F., et al. (2021) · Nature Methods · doi:10.1038/s41592-021-01207-2 · Cited by 155
Self-citationA Neuron-Optimized CRISPR/dCas9 Activation System for Robust and Specific Gene Regulation
Savell, K. E., Bach, S. V., Zipperly, M. E., Revanna, J. S., Goska, N. A., Tuscher, J. J., Duke, C. G., Sultan, F. A., Burke, J. N., Williams, D., et al. (2019) · eNeuro · doi:10.1523/eneuro.0495-18.2019 · Cited by 137
Hamilton, P. J., & Nestler, E. J. (2019) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2019.05.005 · Cited by 137
Dead Cas Systems: Types, Principles, and Applications
Brezgin, S., Kostyusheva, A., Kostyushev, D. S., & Chulanov, V. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20236041 · Cited by 135
CRISPR/Cas-Based Epigenome Editing: Advances, Applications, and Clinical Utility
Goell, J., & Hilton, I. B. (2021) · Trends in biotechnology · doi:10.1016/j.tibtech.2020.10.012 · Cited by 125
Epigenome editing technologies for discovery and medicine
McCutcheon, S. R., Rohm, D., Iglesias, N., & Gersbach, C. A. (2024) · Nature Biotechnology · doi:10.1038/s41587-024-02320-1 · Cited by 130
Chow, R. D.-W., & Chen, S. (2018) · Trends in cancer · doi:10.1016/j.trecan.2018.03.002 · Cited by 122
Li, N., Liu, Q., Han, Y., Pei, S., Cheng, B., Xu, J., Miao, X., Pan‐Hammarström, Q., Wang, H., Guo, J., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-34871-9 · Cited by 112
CRISPR screens for functional interrogation of immunity
Shi, H., Doench, J. G., & Chi, H. (2022) · Nature reviews. Immunology · doi:10.1038/s41577-022-00802-4 · Cited by 102
CRISPR/Cas9 Landscape: Current State and Future Perspectives
Tyumentsev, A. I., Tyumentsev, A. I., & Акимкин, В. Г. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242216077 · Cited by 98
Parkinson's disease motor symptoms rescue by CRISPRa‐reprogramming astrocytes into GABAergic neurons
Giehrl‐Schwab, J., Giesert, F., Rauser, B., Lao, C. L., Hembach, S., Lefort, S., Ibarra, I. L., Koupourtidou, C., Luecken, M. D., Truong, D. J., et al. (2022) · EMBO Molecular Medicine · doi:10.15252/emmm.202114797 · Cited by 84
Gene-encoding DNA origami for mammalian cell expression
Kretzmann, J. A., Liedl, A., Monferrer, A., Mykhailiuk, V., Beerkens, S., & Dietz, H. (2023) · Nature Communications · doi:10.1038/s41467-023-36601-1 · Cited by 78
In vivo locus-specific editing of the neuroepigenome
Yim, Y. Y., Teague, C. D., & Nestler, E. J. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-020-0334-y · Cited by 76
Development and Application of CRISPR/Cas in Microbial Biotechnology
Ding, W., Zhang, Y., & Shi, S. (2020) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2020.00711 · Cited by 81
Muscle cell‐derived cytokines in skeletal muscle regeneration
Waldemer, R. J., Kim, D., & Chen, J. (2022) · FEBS Journal · doi:10.1111/febs.16372 · Cited by 79
Genomic Enhancers in Brain Health and Disease
Carullo, N. V. N., & Day, J. J. (2019) · Genes · doi:10.3390/genes10010043 · Cited by 72
Safe CRISPR: Challenges and Possible Solutions
Pineda, M., Lear, A., Collins, J. P., & Kiani, S. (2018) · Trends in biotechnology · doi:10.1016/j.tibtech.2018.09.010 · Cited by 71
Zhou, C., Hu, X., Tang, C., Liu, W., Wang, S., Zhou, Y., Zhao, Q., Bo, Q., Shi, L., Sun, X., et al. (2020) · National Science Review · doi:10.1093/nsr/nwaa033 · Cited by 69
Self-citationAdvances in detecting and reducing off-target effects generated by CRISPR-mediated genome editing
Li, J., Hong, S., Chen, W., Zuo, E., & Yang, H. (2019) · Journal of genetics and genomics/Journal of Genetics and Genomics · doi:10.1016/j.jgg.2019.11.002 · Cited by 66
Self-citationCRISPR-Based Synthetic Transcription Factors In Vivo: The Future of Therapeutic Cellular Programming
Pandelakis, M., Delgado, E., & Ebrahimkhani, M. R. (2020) · Cell Systems · doi:10.1016/j.cels.2019.10.003 · Cited by 63
In vivo interaction screening reveals liver-derived constraints to metastasis
Borrelli, C., Roberts, M., Eletto, D., Hussherr, M., Fazilaty, H., Valenta, T., Lafzi, A., Kretz, J. A., Vinzoni, E. G., Karakatsani, A., et al. (2024) · Nature · doi:10.1038/s41586-024-07715-3 · Cited by 67
Josipović, G., Tadić, V., Klasić, M., Zanki, V., Bečeheli, I., Chung, F. F., Ghantous, A., Keser, T., Madunić, J., Bošković, M., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz709 · Cited by 68
Interrogating lncRNA functions via CRISPR/Cas systems
Zibitt, M. S., Hartford, C. C. R., & Lal, A. (2021) · RNA Biology · doi:10.1080/15476286.2021.1899500 · Cited by 65
CRISPR-Mediated Activation of Endogenous Gene Expression in the Postnatal Heart
Schoger, E., Carroll, K. J., Iyer, L. M., McAnally, J., Tan, W. H., Liu, N., Noack, C., Shomroni, O., Salinas, G., Groß, J., et al. (2019) · Circulation Research · doi:10.1161/circresaha.118.314522 · Cited by 60
In vivo functional screening for systems-level integrative cancer genomics
Weber, J., Braun, C. J., Saur, D., & Rad, R. (2020) · Nature reviews. Cancer · doi:10.1038/s41568-020-0275-9 · Cited by 60
Zhang, H., Pan, H., Zhou, C., Yu, W., Ying, W., Li, S., Wang, G., Li, C., Ren, Y., Li, G., et al. (2018) · Development · doi:10.1242/dev.168906 · Cited by 58
Self-citationDevelopments in lncRNA drug discovery: where are we heading?
Blokhin, I. O., Khorkova, O., Hsiao, J. H., & Wahlestedt, C. (2018) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2018.1501024 · Cited by 56
Epigenome editing for targeted DNA (de)methylation: a new perspective in modulating gene expression
Seem, K., Kaur, S., Kumar, S., & Mohapatra, T. (2024) · Critical Reviews in Biochemistry and Molecular Biology · doi:10.1080/10409238.2024.2320659 · Cited by 59
Tycko, J., Van, M. V., Aradhana, DelRosso, N., Ye, H., Yao, D., Valbuena, R., Vaughan-Jackson, A., Xu, X., Ludwig, C., et al. (2025) · Nature Biotechnology · doi:10.1038/s41587-024-02442-6 · Cited by 57
Epigenetic editing: Dissecting chromatin function in context
Policarpi, C., Dabin, J., & Hackett, J. A. (2021) · BioEssays · doi:10.1002/bies.202000316 · Cited by 54
CRISPR-Cas Activators for Engineering Gene Expression in Higher Eukaryotes
Casas-Mollano, J. A., Zinselmeier, M. H., Erickson, S. E., & Smanski, M. J. (2020) · The CRISPR Journal · doi:10.1089/crispr.2020.0064 · Cited by 58
CRISPR/Cas mediated epigenome editing for cancer therapy
Ansari, I., Chaturvedi, A., Chitkara, D., & Singh, S. P. (2021) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2020.12.018 · Cited by 58
Rittiner, J. E., Moncalvo, M., Chiba‐Falek, O., & Kantor, B. (2020) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2020.00148 · Cited by 53
LINE-1 activation in the cerebellum drives ataxia
Takahashi, T., Stoiljković, M., Song, E., Gao, X., Yasumoto, Y., Kudo, E., Carvalho, F., Kong, Y., Park, A., Shanabrough, M., et al. (2022) · Neuron · doi:10.1016/j.neuron.2022.08.011 · Cited by 54
In vivo epigenome editing and transcriptional modulation using CRISPR technology
Lau, C., & Suh, Y. (2018) · Transgenic Research · doi:10.1007/s11248-018-0096-8 · Cited by 51
Mahata, B., Cabrera, A., Brenner, D. A., Guerra-Resendez, R. S., Li, J., Goell, J., Wang, K., Guo, Y., Escobar, M., Parthasarathy, A. K., et al. (2023) · Nature Methods · doi:10.1038/s41592-023-02036-1 · Cited by 47
CRISPR activation screens: navigating technologies and applications
Clark, T., Waller, M. A., Loo, L., Moreno, C. L., Denes, C. E., & Neely, G. G. (2024) · Trends in biotechnology · doi:10.1016/j.tibtech.2024.02.007 · Cited by 54
Xue, Y., Yan, X., Li, D., Dong, S., & Yuan, P. (2024) · Nature Communications · doi:10.1038/s41467-024-46210-1 · Cited by 54
Emerging technologies to study glial cells
Hirbec, H., Déglon, N., Foo, L. C., Goshen, I., Grutzendler, J., Hangen, E., Kreisel, T., Linck, N., Muffat, J., Regio, S., et al. (2020) · Glia · doi:10.1002/glia.23780 · Cited by 51
Lau, C., Ho, J. W., Lo, P. K., & Tin, C. (2019) · Molecular Therapy — Nucleic Acids · doi:10.1016/j.omtn.2019.04.015 · Cited by 46
Microbial CRISPRi and CRISPRa Systems for Metabolic Engineering
Zheng, Y., Su, T., & Qi, Q. (2019) · Biotechnology and Bioprocess Engineering · doi:10.1007/s12257-019-0107-5 · Cited by 46
Comparative analysis of dCas9-VP64 variants and multiplexed guide RNAs mediating CRISPR activation
Omachi, K., & Miner, J. H. (2022) · PLoS ONE · doi:10.1371/journal.pone.0270008 · Cited by 48
Ravichandran, M., & Maddalo, D. (2023) · Frontiers in Genetics · doi:10.3389/fgene.2023.1273994 · Cited by 47
Reprogramming astrocytes to motor neurons by activation of endogenous Ngn2 and Isl1
Zhou, M., Tao, X., Sui, M., Cui, M., Liu, D., Wang, B., Wang, T., Zheng, Y., Luo, J., Mu, Y., et al. (2021) · Stem Cell Reports · doi:10.1016/j.stemcr.2021.05.020 · Cited by 44
Han, F., Liu, X., Chen, C., Liu, Y., Du, M., Guan, Y., Zhang, Y., Wang, D., Ahmed, M., Li, X., et al. (2020) · Cell Research · doi:10.1038/s41422-020-0303-z · Cited by 43
Raikwar, S. P., Kikkeri, N. S., Sakuru, R. C., Saeed, D., Zahoor, H., Premkumar, K., Mentor, S., Thangavel, R., Dubova, I., Ahmed, M. E., et al. (2019) · Journal of Neuroimmune Pharmacology · doi:10.1007/s11481-019-09849-y · Cited by 48
Dong, A., Liu, J., Lin, K., Zeng, W., So, W., Hu, S., & Cheung, T. H. (2022) · iScience · doi:10.1016/j.isci.2022.104954 · Cited by 44
Self-citationNanotechnology-enabled gene delivery for cancer and other genetic diseases
Jiang, T., Gonzalez, K. M., Cordova, L. E., & Lu, J. (2023) · Expert Opinion on Drug Delivery · doi:10.1080/17425247.2023.2200246 · Cited by 45
Mulvey, B., Lagunas, T., & Dougherty, J. D. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.06.011 · Cited by 41
Qiu, X., Xie, S., Lu, M., Wu, X., Zhu, L., & Zhu, L. (2018) · Microbial Cell Factories · doi:10.1186/s12934-018-0965-0 · Cited by 39
CRISPR/Cas Derivatives as Novel Gene Modulating Tools: Possibilities and In Vivo Applications
Xu, X., Hulshoff, M. S., Tan, X., Zeisberg, M., & Zeisberg, E. M. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21093038 · Cited by 41
Synthetic immunomodulation with a CRISPR super-repressor in vivo
Moghadam, F., LeGraw, R., Velazquez, J. J., Yeo, N. C., Xu, C., Park, J. H., Chavez, A., Ebrahimkhani, M. R., & Kiani, S. (2020) · Nature Cell Biology · doi:10.1038/s41556-020-0563-3 · Cited by 38
Guo, Y., Shen, M., Dong, Q., Méndez-Albelo, N. M., Huang, S. X., Sirois, C. L., Le, J., Li, M., Jarzembowski, E. D., Schoeller, K. A., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-39337-0 · Cited by 42
CRISPR-Cas Technology as a Revolutionary Genome Editing tool: Mechanisms and Biomedical Applications
Ebrahimi, S., Khosravi, M. A., Raz, A., Karimipoor, M., & Parvizi, P. (2023) · ̒Ulūm va funūn-i bastah/bandī · doi:10.61186/ibj.27.5.219 · Cited by 40
Stephan, M., Volkmann, P., & Rossner, M. J. (2019) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2019.21.3/mrossner · Cited by 39
Hazelbaker, D. Z., Beccard, A., Angelini, G., Mazzucato, P., Messana, A., Lam, D., Eggan, K. C., & Barrett, L. E. (2020) · Scientific Reports · doi:10.1038/s41598-020-57500-1 · Cited by 36
Shen, M., Guo, Y., Dong, Q., Gao, Y., Stockton, M. E., Li, M., Kannan, S., Korabelnikov, T., Schoeller, K. A., Sirois, C. L., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01096-z · Cited by 38
Self-citationCRISPR-assisted transcription activation by phase-separation proteins
Liu, J., Chen, Y., Nong, B., Luo, X., Cui, K., Li, Z., Zhang, P., Tan, W., Yang, Y., Ma, W., et al. (2023) · Protein & Cell · doi:10.1093/procel/pwad013 · Cited by 37
Self-citationDelivery Platforms for CRISPR/Cas9 Genome Editing of Glial Cells in the Central Nervous System
Meneghini, V., Peviani, M., Luciani, M., Zambonini, G., & Gritti, A. (2021) · Frontiers in Genome Editing · doi:10.3389/fgeed.2021.644319 · Cited by 36
Tutorial: design and execution of CRISPR in vivo screens
Braun, C. J., Adames, A. C., Saur, D., & Rad, R. (2022) · Nature Protocols · doi:10.1038/s41596-022-00700-y · Cited by 38
Ghahremani, S., Kanwal, A., Pettinato, A. M., Ladha, F. A., Legere, N., Thakar, K., Zhu, Y., Tjong, H., Wilderman, A. S., Stump, W. T., et al. (2024) · Circulation · doi:10.1161/circulationaha.123.063972 · Cited by 39
Genome Editing for CNS Disorders
Duarte, F. T., & Déglon, N. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.579062 · Cited by 36
Emerging Gene Therapeutics for Epidermolysis Bullosa under Development
Bischof, J., Hierl, M., & Koller, U. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25042243 · Cited by 36
Engineering CRISPR mouse models of cancer
Weber, J., & Rad, R. (2019) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2019.04.001 · Cited by 33
Chronic stress hinders sensory axon regeneration via impairing mitochondrial cristae and OXPHOS
Ruan, Y., Cheng, J., Dai, J., Ma, Z., Luo, S., Yan, R., Wang, L., Zhou, J., Yu, B., Tong, X., et al. (2023) · Science Advances · doi:10.1126/sciadv.adh0183 · Cited by 33
Liau, W., Samaddar, S., Banerjee, S., & Bredy, T. W. (2021) · RNA Biology · doi:10.1080/15476286.2020.1868165 · Cited by 27
CRISPR screen in cancer: status quo and future perspectives.
He, C., Han, S., Chang, Y., Wu, M., Zhao, Y., Chen, C. Y., & Chu, X. (2021) · PubMed · Cited by 37
Techniques for investigating lncRNA transcript functions in neurodevelopment
Srinivas, T., Soares, E. S., & Guil, S. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02377-5 · Cited by 37
Chromatin regulation in complex brain disorders
Bastle, R. M., & Maze, I. S. (2018) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2018.07.004 · Cited by 30
Gene activation by a CRISPR-assisted trans enhancer
Xu, X., Gao, J., Dai, W., Wang, D., Wu, J., & Wang, J. (2019) · eLife · doi:10.7554/elife.45973 · Cited by 31
Tumor immunology CRISPR screening: present, past, and future
Dong, M. B., Tang, K., Zhou, X., Zhou, J. J., & Chen, S. (2021) · Trends in cancer · doi:10.1016/j.trecan.2021.11.009 · Cited by 32
Nanotechnology‐based CRISPR/Cas9 delivery system for genome editing in cancer treatment
Zhou, S., Li, Y., Wu, Q., & Gong, C. (2024) · MedComm – Biomaterials and Applications · doi:10.1002/mba2.70 · Cited by 30
Davodabadi, F., Far, B. F., Sargazi, S., Sajjadi, S. F., Fathi‐karkan, S., Mirinejad, S., Ghotekar, S. K., Sargazi, S., & Rahman, M. M. (2024) · ChemMedChem · doi:10.1002/cmdc.202300528 · Cited by 30
Engineering inducible biomolecular assemblies for genome imaging and manipulation in living cells
Qin, P., Huang, Z., Sun, K., Liu, Y., Yoon, C. W., Harrison, R. E. S., Schmitt, D. L., Zhu, L., Wu, Y., Tasan, I., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-35504-x · Cited by 31
Self-citationMethods and applications of in vivo CRISPR screening
Santinha, A. J., Strano, A., & Platt, R. J. (2025) · Nature Reviews Genetics · doi:10.1038/s41576-025-00873-8 · Cited by 29
New Technologies To Enhance In Vivo Reprogramming for Regenerative Medicine
Larouche, J. A., & Aguilar, C. A. (2018) · Trends in biotechnology · doi:10.1016/j.tibtech.2018.11.003 · Cited by 28
Jurkowska, R. Z. (2024) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2024.108732 · Cited by 29
Cas12a-knock-in mice for multiplexed genome editing, disease modelling and immune-cell engineering
Tang, K., Zhou, L., Tian, X., Fang, S., Vandenbulcke, E., Du, A., Shen, J., Cao, H., Zhou, J., Chen, K., et al. (2025) · Nature Biomedical Engineering · doi:10.1038/s41551-025-01371-2 · Cited by 27
Interrogating Parkinson's disease associated redox targets: Potential application of CRISPR editing
Artyukhova, M. A., Tyurina, Y. Y., Chu, C. T., Zharikova, T. M., Bayır, H., Kagan, V. E., & Timashev, P. S. (2019) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2019.06.007 · Cited by 26
Epigenome editing by CRISPR/Cas9 in clinical settings: possibilities and challenges
Pei, W., Zhang, Y., Yin, T., & Yu, Y. (2019) · Briefings in Functional Genomics · doi:10.1093/bfgp/elz035 · Cited by 28
CRISPR/dCas system as the modulator of gene expression
Kazi, T. A., & Biswas, S. R. (2021) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2020.12.002 · Cited by 28
Ye, S., & Ni, Y. (2021) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2021.649976 · Cited by 27
Hunt, C., Hartford, S. A., White, D., Pefanis, E., Hanna, T., Herman, C., Wiley, J., Brown, H. M., Su, Q., Xin, Y., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22932-4 · Cited by 27
Immunity and Viral Infections: Modulating Antiviral Response via CRISPR–Cas Systems
Brezgin, S., Kostyusheva, A., Олеговна, Б. Е., Volchkova, E. V., Gegechkori, V., Gordeychuk, I. V., Glebe, D., Kostyushev, D. S., & Chulanov, V. (2021) · Viruses · doi:10.3390/v13071373 · Cited by 27
Histone modifications in cocaine, methamphetamine and opioids
Cheng, J., He, Z., Chen, Q., Jiang, L., Peng, Y., Zhang, J., Yan, X., Yan, J., & Niu, S. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e16407 · Cited by 26
Self-citationCRISPR/Cas9-mediated mutagenesis at microhomologous regions of human mitochondrial genome
Wang, B., Lv, X., Wang, Y., Wang, Z., Liu, Q., Lu, B., Liu, Y., & Gu, F. (2021) · Science China Life Sciences · doi:10.1007/s11427-020-1819-8 · Cited by 25
Metadata
- Authors
- Zhou, H., Liu, J., Zhou, C., Gao, N., Rao, Z., Li, H., Hu, X., Li, C., Yao, X., Shen, X., Sun, Y., Wei, Y., Liu, F., Ying, W., Zhang, J., Tang, C., Zhang, X., Xu, H., Shi, L., Cheng, L., Huang, P., & Yang, H.
- Affiliations
- Chinese Academy of Sciences (CN)
- ShanghaiTech University (CN)
- Corresponding author
- Huang, Pengyu
- Yang, Hui
- ORCID
- Venue
- Nature Neuroscience
- Published
- 2018-01-15
- Volume
- 21
- Issue
- 3
- Pages
- 440-446
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- OpenAlex
- W2783322400
- Cited by
- 276
- References
- 57
- Citations by year
- 2026: 10 · 2025: 26 · 2024: 37 · 2023: 36 · 2022: 38 · 2021: 35 · 2020: 39 · 2019: 34 · 2018: 20
- FWCI
- 11.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA regulation and disease
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Animal Genetics and Reproduction
- Keywords
- CRISPR/dCas9, transcriptional activation, transgenic mice, long non-coding RNA, astrocyte-to-neuron conversion, neurogenesis, gene networks, brain
- MeSH terms
- Animals, Astrocytes, Brain Chemistry, DNA-Binding Proteins, Female, Male, Mice, Transgenic, Nerve Tissue Proteins, Nervous System, Neurons, Nuclear Proteins, Transcriptional Activation, Mice, Primary Cell Culture, RNA, Long Noncoding, CRISPR-Cas Systems
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review