β-catenin mediates stress resilience through Dicer1/microRNA regulation
Open accessAbstract
β-catenin is a multi-functional protein that has an important role in the mature central nervous system; its dysfunction has been implicated in several neuropsychiatric disorders, including depression. Here we show that in mice β-catenin mediates pro-resilient and anxiolytic effects in the nucleus accumbens, a key brain reward region, an effect mediated by D2-type medium spiny neurons. Using genome-wide β-catenin enrichment mapping, we identify Dicer1-important in small RNA (for example, microRNA) biogenesis--as a β-catenin target gene that mediates resilience. Small RNA profiling after excising β-catenin from nucleus accumbens in the context of chronic stress reveals β-catenin-dependent microRNA regulation associated with resilience. Together, these findings establish β-catenin as a critical regulator in the development of behavioural resilience, activating a network that includes Dicer1 and downstream microRNAs. We thus present a foundation for the development of novel therapeutic targets to promote stress resilience.
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Knockout mice showed increased vulnerability to chronic stress, whereas overexpression in the NAc increased stress resilience.
“knockout mice showed increased vulnerability to chronic stress, whereas an overexpression in the NAc increased stress resilience. 53”
From Epigenetics and depression (2019) · cites this paper as [53]
In “β-catenin in NAc mediates pro-resilient, antidepressant, and anxiolytic responses” (page unavailable), the paper reports that excising β-catenin from the NAc promoted stress susceptibility and that NAc overexpression promoted resilience. The knockout result, however, came from a sub-threshold defeat procedure, not a chronic-stress procedure as the claim specifies. (LLM, conf=0.87)
Experimental — accuracy not yet measuredNAc-selective β-catenin knockout mice showed increased vulnerability to chronic stress, whereas overexpression in the NAc increased stress resilience.
“NAc-selective β-catenin knockout mice showed increased vulnerability to chronic stress, whereas an overexpression in the NAc increased stress resilience.”
From Epigenetics and depression (2019) · cites this paper as [53]
β-catenin, one of the hub genes identified in the network, has previously been shown to modulate social stress.
“β-catenin, one of the hub genes identified in the network, has previously been shown to modulate social stress.”
From Epigenetics and depression (2019) · cites this paper as [53]
β-catenin expression in nucleus accumbens D2 medium spiny neurons increases resilience to chronic social defeat stress.
“In fact, β-catenin expression in NAc D2-MSNs, but not D1-MSNs promotes resilience to CSDS (92).”
From Emerging Role for Nucleus Accumbens Medium Spiny Neuron Subtypes in Depression (2017) · cites this paper as [92]
Post-transcriptional regulation of many mRNAs by β-catenin in D2 medium spiny neurons partly mediates outcomes to social stress.
“This effect was specific to expression of a microRNA synthesis related protein Dicer1 downstream of β-catenin signaling, suggesting post-transcriptional regulation of a wide variety of mRNAs by β-catenin in D2-MSNs in part mediate outcomes to social stress.”
From Emerging Role for Nucleus Accumbens Medium Spiny Neuron Subtypes in Depression (2017) · cites this paper as [92]
β-catenin expression in nucleus accumbens D1 medium spiny neurons does not increase resilience to chronic social defeat stress.
“In fact, β-catenin expression in NAc D2-MSNs, but not D1-MSNs promotes resilience to CSDS (92).”
From Emerging Role for Nucleus Accumbens Medium Spiny Neuron Subtypes in Depression (2017) · cites this paper as [92]
The resilience effect of β-catenin depends on Dicer1 expression downstream of β-catenin signaling.
“This effect was specific to expression of a microRNA synthesis related protein Dicer1 downstream of β-catenin signaling, suggesting post-transcriptional regulation of a wide variety of mRNAs by β-catenin in D2-MSNs in part mediate outcomes to social stress.”
From Emerging Role for Nucleus Accumbens Medium Spiny Neuron Subtypes in Depression (2017) · cites this paper as [92]
Excising β-cat from the NAc increases stress susceptibility.
“β-Cat signaling is down-regulated specifically in D2-MSNs of susceptible mice and excising β-cat from the NAc increases stress susceptibly [127].”
From The molecular and cellular mechanisms of depression: a focus on reward circuitry (2019) · cites this paper as [127]
β-Cat signaling is down-regulated specifically in D2-MSNs of susceptible mice.
“β-Cat signaling is down-regulated specifically in D2-MSNs of susceptible mice and excising β-cat from the NAc increases stress susceptibly [127].”
From The molecular and cellular mechanisms of depression: a focus on reward circuitry (2019) · cites this paper as [127]
β-Cat regulates Dicer1, which modulates pro-susceptibility genes such as Arc and Npas4.
“β-Cat regulates Dicer1, a microRNA regulator that, in turn, modulates other known pro-susceptibility genes such as Arc and Npas4 [127].”
From The molecular and cellular mechanisms of depression: a focus on reward circuitry (2019) · cites this paper as [127]
Environmental stress and antidepressant medications change miRNA expression levels in various brain regions that control mood, including the prefrontal cortex, amygdala, nucleus accumbens, locus coeruleus, and dorsal raphe nucleus.
“Environmental stress and antidepressant medications change miRNA expression levels in various brain regions that control mood, including the PFC, amygdala, nucleus accumbens, locus coeruleus, and dorsal raphe nucleus.”
From Epigenetic mechanisms of major depression: Targeting neuronal plasticity (2018) · cites this paper as [144]
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Cites
Analyzing real-time PCR data by the comparative CT method
Schmittgen, T. D., & Livak, K. J. (2008) · Nature Protocols · doi:10.1038/nprot.2008.73 · Cited by 26,190 · see citing works
Heinz, S., Benner, C., Spann, N., Bertolino, E., Lin, Y. C., Laslo, P., Cheng, J. X., Murre, C., Singh, H., & Glass, C. K. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.05.004 · Cited by 13,382 · see citing works
Role for a bidentate ribonuclease in the initiation step of RNA interference
Bernstein, E., Caudy, A. A., Hammond, S. M., & Hannon, G. J. (2001) · Nature · doi:10.1038/35053110 · Cited by 4,896 · see citing works
miRBase: annotating high confidence microRNAs using deep sequencing data
Kozomara, A., & Griffiths-Jones, S. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1181 · Cited by 4,629 · see citing works
Functional interaction of β-catenin with the transcription factor LEF-1
Behrens, J., von Kries, J. P., Kühl, M., Bruhn, L., Wedlich, D., Grosschedl, R., & Birchmeier, W. (1996) · Nature · doi:10.1038/382638a0 · Cited by 2,912 · see citing works
Krishnan, V., Han, M.-H., Graham, D. L., Berton, O., Renthal, W., Russo, S. J., LaPlant, Q., Graham, A., Lutter, M., Lagace, D. C., et al. (2007) · Cell · doi:10.1016/j.cell.2007.09.018 · Cited by 2,307 · see citing works
Self-citationEssential role of BDNF in the mesolimbic dopamine pathway in social defeat stress
Berton, O., McClung, C. A., DiLeone, R. J., Krishnan, V., Renthal, W., Russo, S. J., Graham, D., Tsankova, N. M., Bolanos, C. A., Rios, M., et al. (2006) · Science · doi:10.1126/science.1120972 · Cited by 2,129 · see citing works
Self-citationXTcf-3 Transcription Factor Mediates β-Catenin-Induced Axis Formation in Xenopus Embryos
Molenaar, M., van de Wetering, M., Oosterwegel, M., Peterson-Maduro, J., Godsave, S., Korinek, V., Roose, J., Destrée, O., & Clevers, H. (1996) · Cell · doi:10.1016/s0092-8674(00)80112-9 · Cited by 1,824 · see citing works
Modelling schizophrenia using human induced pluripotent stem cells
Brennand, K. J., Simone, A., Jou, J., Gelboin-Burkhart, C., Tran, N., Sangar, S., Li, Y., Mu, Y., Chen, G., Yu, D., et al. (2011) · Nature · doi:10.1038/nature09915 · Cited by 1,375 · see citing works
Wetering, M. L. V. D., Cavallo, R. A., Dooijes, D., van Beest, M., van Es, J. V., Loureiro, J., Ypma, A., Hursh, D., Jones, T. L., Bejsovec, A., et al. (1997) · Cell · doi:10.1016/s0092-8674(00)81925-x · Cited by 1,347 · see citing works
Amygdala circuitry mediating reversible and bidirectional control of anxiety
Tye, K. M., Prakash, R., Kim, S.-Y., Fenno, L. E., Grosenick, L., Zarabi, H., Thompson, K. R., Gradinaru, V., Ramakrishnan, C., & Deisseroth, K. (2011) · Nature · doi:10.1038/nature09820 · Cited by 1,289 · see citing works
Rapid regulation of depression-related behaviours by control of midbrain dopamine neurons
Chaudhury, D., Walsh, J. J., Friedman, A. K., Juarez, B., Ku, S. M., Koo, J. W., Ferguson, D., Tsai, H.-C., Pomeranz, L., Christoffel, D. J., et al. (2013) · Nature · doi:10.1038/nature11713 · Cited by 1,156 · see citing works
Self-citationGraybiel, A. M. (2000) · Current Biology · doi:10.1016/s0960-9822(00)00593-5 · Cited by 1,051 · see citing works
The neostriatal mosaic: multiple levels of compartmental organization in the basal ganglia
Gerfen, C. R. (1992) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.15.030192.001441 · Cited by 1,004 · see citing works
Distinct roles for direct and indirect pathway striatal neurons in reinforcement
Kravitz, A. V., Tye, L. D., & Kreitzer, A. C. (2012) · Nature Neuroscience · doi:10.1038/nn.3100 · Cited by 972 · see citing works
Cell type-specific loss of BDNF signaling mimics optogenetic control of cocaine reward
Lobo, M. K., Covington, H. E., Chaudhury, D., Friedman, A. K., Sun, H., Damez-Werno, D., Dietz, D. M., Zaman, S., Koo, J. W., Kennedy, P. J., et al. (2010) · Science · doi:10.1126/science.1188472 · Cited by 880 · see citing works
Self-citationThe science of resilience: implications for the prevention and treatment of depression
Southwick, S. M., & Charney, D. S. (2012) · Science · doi:10.1126/science.1222942 · Cited by 875 · see citing works
Shen, L., Shao, N., Liu, X., & Nestler, E. J. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-284 · Cited by 852 · see citing works
Self-citationKosik, K. S. (2006) · Nature reviews. Neuroscience · doi:10.1038/nrn2037 · Cited by 823 · see citing works
Rfam 11.0: 10 years of RNA families
Burge, S., Daub, J., Eberhardt, R. Y., Tate, J. G., Barquist, L., Nawrocki, E. P., Eddy, S. R., Gardner, P. P., & Bateman, A. G. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1005 · Cited by 807 · see citing works
Beaulieu, J., Sotnikova, T. D., Yao, W., Kockeritz, L. K., Woodgett, J. R., Gainetdinov, R. R., & Caron, M. G. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0307921101 · Cited by 792 · see citing works
Synaptic and Behavioral Profile of Multiple Glutamatergic Inputs to the Nucleus Accumbens
Britt, J. P., Benaliouad, F., McDevitt, R. A., Stuber, G. D., Wise, R. A., & Bonci, A. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.040 · Cited by 716 · see citing works
Hikida, T., Kimura, K., Wada, N., Funabiki, K., & Nakanishi, S. (2010) · Neuron · doi:10.1016/j.neuron.2010.05.011 · Cited by 592 · see citing works
A Role for Neuronal piRNAs in the Epigenetic Control of Memory-Related Synaptic Plasticity
Rajasethupathy, P., Antonov, I., Sheridan, R., Frey, S., Sander, C., Tuschl, T., & Kandel, E. R. (2012) · Cell · doi:10.1016/j.cell.2012.02.057 · Cited by 566 · see citing works
Shen, L., Shao, N., Liu, X., Maze, I. S., Feng, J., & Nestler, E. J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0065598 · Cited by 403 · see citing works
Self-citationMicroRNAs in neuronal function and dysfunction
Im, H.-I., & Kenny, P. J. (2012) · Trends in Neurosciences · doi:10.1016/j.tins.2012.01.004 · Cited by 399 · see citing works
piRNABank: a web resource on classified and clustered Piwi-interacting RNAs
Lakshmi, S. S., & Agrawal, S. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm696 · Cited by 381 · see citing works
Lobo, M. K., & Nestler, E. J. (2011) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2011.00041 · Cited by 371 · see citing works
Self-citationKolligs, F. T., Hu, G., Dang, C. V., & Fearon, E. R. (1999) · Molecular and Cellular Biology · doi:10.1128/mcb.19.8.5696 · Cited by 320 · see citing works
Issler, O., Haramati, S., Paul, E. D., Maeno, H., Navon, I., Zwang, R., Gil, S., Mayberg, H. S., Dunlop, B. W., Menke, A., et al. (2014) · Neuron · doi:10.1016/j.neuron.2014.05.042 · Cited by 318 · see citing works
Is Glycogen Synthase Kinase-3 a Central Modulator in Mood Regulation?
Li, X., & Jope, R. S. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2010.105 · Cited by 294 · see citing works
Identification of piRNAs in the central nervous system
Lee, E. J., Banerjee, S., Zhou, H., Jammalamadaka, A., Arcila, M., Manjunath, B. S., & Kosik, K. S. (2011) · RNA · doi:10.1261/rna.2565011 · Cited by 289 · see citing works
Hackenberg, M., Rodríguez‐Ezpeleta, N., & Aransay, A. M. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr247 · Cited by 272 · see citing works
Cuellar, T. L., Davis, T. H., Nelson, P. T., Loeb, G. B., Harfe, B. D., Ullian, E. M., & McManus, M. T. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0801689105 · Cited by 220 · see citing works
Chronic cocaine-regulated epigenomic changes in mouse nucleus accumbens
Feng, J., Wilkinson, M., Liu, X., Purushothaman, I., Ferguson, D., Vialou, V., Maze, I., Shao, N., Kennedy, P., Koo, J., et al. (2014) · Genome Biology · doi:10.1186/gb-2014-15-4-r65 · Cited by 198 · see citing works
Self-citationBDNF is a negative modulator of morphine action
Koo, J. W., Mazei-Robison, M. S., Chaudhury, D., Juarez, B., LaPlant, Q., Ferguson, D., Feng, J., Sun, H., Scobie, K. N., Damez-Werno, D., et al. (2012) · Science · doi:10.1126/science.1222265 · Cited by 189 · see citing works
Self-citationWilkinson, M. B., Dias, C., Magida, J., Mazei-Robison, M., Lobo, M., Kennedy, P., Dietz, D., Covington, H., Russo, S., Neve, R., et al. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.0039-11.2011 · Cited by 170 · see citing works
Self-citationNMDA-Receptor Activation Induces Calpain-Mediated β-Catenin Cleavages for Triggering Gene Expression
Abe, K., & Takeichi, M. (2007) · Neuron · doi:10.1016/j.neuron.2007.01.016 · Cited by 144 · see citing works
Ruffus: a lightweight Python library for computational pipelines
Goodstadt, L. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq524 · Cited by 138 · see citing works
β-Catenin Overexpression in the Mouse Brain Phenocopies Lithium-Sensitive Behaviors
Gould, T. D., Einat, H., O’Donnell, K. C., Picchini, A. M., Schloesser, R. J., & Manji, H. K. (2007) · Neuropsychopharmacology · doi:10.1038/sj.npp.1301338 · Cited by 137 · see citing works
miRBase: The MicroRNA Sequence Database
Griffiths-Jones, S. (2006) · MicroRNA Protocols · doi:10.1385/1-59745-123-1:129 · Cited by 121 · see citing works
Madsen, T. M., Newton, S. S., Eaton, M. E., Russell, D., & Duman, R. S. (2003) · Biological Psychiatry · doi:10.1016/s0006-3223(03)00700-5 · Cited by 112 · see citing works
Yawata, S., Yamaguchi, T., Danjo, T., Hikida, T., & Nakanishi, S. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1210797109 · Cited by 112 · see citing works
Regulation of S33/S37 phosphorylated β-catenin in normal and transformed cells
Sadot, E., Conacci‐Sorrell, M., Zhurinsky, J., Shnizer, D., Lando, Z., Zharhary, D., Kam, Z., Ben‐Ze'ev, A., & Geiger, B. (2002) · Journal of Cell Science · doi:10.1242/jcs.115.13.2771 · Cited by 110 · see citing works
Robison, A. J., Vialou, V., Sun, H.-S., Labonte, B., A Golden, S., Dias, C., Turecki, G., Tamminga, C., Russo, S., Mazei-Robison, M., et al. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2013.319 · Cited by 105 · see citing works
Self-citationβ-Catenin Promotes Survival of Renal Epithelial Cells by Inhibiting Bax
Wang, Z., Havasi, A., Gall, J. M., Mao, H., Schwartz, J. H., & Borkan, S. C. (2009) · Journal of the American Society of Nephrology · doi:10.1681/asn.2009030253 · Cited by 104 · see citing works
Rada, P. V., Moreno, S. A., Tucci, S. A., Gonzalez, L. E., Harrison, T., Chau, D. T., Hoebel, B. G., & Hernandez, L. (2003) · Neuroscience · doi:10.1016/s0306-4522(03)00162-3 · Cited by 67 · see citing works
Contributions of Striatal Dopamine Signaling to the Modulation of Cognitive Flexibility
Darvas, M., & Palmiter, R. D. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.09.033 · Cited by 60 · see citing works
Wexler, E. M., Rosen, E., Lu, D., Osborn, G. E., Martin, E., Raybould, H., & Geschwind, D. H. (2011) · Science Signaling · doi:10.1126/scisignal.2002282 · Cited by 56 · see citing works
Mutated β-catenin evades a microRNA-dependent regulatory loop
Veronese, A., Visone, R., Consiglio, J., Acunzo, M., Lupini, L., Kim, T., Ferracin, M., Lovat, F., Miotto, E., Balatti, V., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1101734108 · Cited by 56 · see citing works
Genome-wide identification of new Wnt/β-catenin target genes in the human genome using CART method
Christian Hodar, Q., Assar, R., Colombres, M., Aravena, A., Pavéz, L., González, M., Martı́nez, S., Inestrosa, N. C., & Maass, A. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-348 · Cited by 55 · see citing works
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Dudek, K. A., Dion-Albert, L., Lebel, M., LeClair, K., Labrecque, S., Tuck, E., Ferrer Perez, C., Golden, S. A., Tamminga, C., Turecki, G., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1914655117 · Cited by 361 · see citing works
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Hu, H. (2016) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-070815-014106 · Cited by 253 · see citing works
Penner-Goeke, S., & Binder, E. B. (2019) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2019.21.4/ebinder · Cited by 254 · see citing works
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Self-citationLopez, J. P., Fiori, L. M., Cruceanu, C., Lin, R., Labonte, B., Cates, H. M., Heller, E. A., Vialou, V., Ku, S. M., Gerald, C., et al. (2017) · Nature Communications · doi:10.1038/ncomms15497 · Cited by 201 · see citing works
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Fox, M. E., Chandra, R., Menken, M. S., Larkin, E. J., Nam, H., Engeln, M., Francis, T. C., & Lobo, M. K. (2020) · Molecular Psychiatry · doi:10.1038/s41380-018-0211-5 · Cited by 100 · see citing works
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Lu, C.-L., Ren, J., Mo, J.-W., Fan, J., Guo, F., Chen, L.-Y., Wen, Y.-L., Li, S.-J., Fang, Y.-Y., Wu, Z.-F., et al. (2022) · Biological Psychiatry · doi:10.1016/j.biopsych.2021.11.022 · Cited by 97 · see citing works
DICER1 and microRNA regulation in post-traumatic stress disorder with comorbid depression
Wingo, A. P., Almli, L. M., Stevens, J. S., Klengel, T., Uddin, M., Li, Y., Bustamante, A. C., Lori, A., Koen, N., Stein, D. J., et al. (2015) · Nature Communications · doi:10.1038/ncomms10106 · Cited by 98 · see citing works
Molecular basis of dendritic atrophy and activity in stress susceptibility
Francis, T. C., Chandra, R., Gaynor, A., Konkalmatt, P., Metzbower, S. R., Evans, B., Engeln, M., Blanpied, T. A., & Lobo, M. K. (2017) · Molecular Psychiatry · doi:10.1038/mp.2017.178 · Cited by 89 · see citing works
Epigenetics, Development, and Psychopathology
O'Donnell, K. J., & Meaney, M. J. (2020) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-050718-095530 · Cited by 94 · see citing works
Rodgers, A. B., & Bale, T. L. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.03.018 · Cited by 91 · see citing works
Zhang, H., Chaudhury, D., Nectow, A. R., Friedman, A. K., Zhang, S., Juarez, B., Liu, H., Pfau, M. L., Aleyasin, H., Jiang, C., et al. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.08.020 · Cited by 88 · see citing works
Self-citationProgress in Epigenetics of Depression
Peña, C. J., & Nestler, E. J. (2018) · Progress in Molecular Biology and Translational Science · doi:10.1016/bs.pmbts.2017.12.011 · Cited by 84 · see citing works
Self-citationGSK3β: a master player in depressive disorder pathogenesis and treatment responsiveness
Duda, P., Hajka, D., Wójcicka, O., Rakus, D., & Gizak, A. (2020) · Cells · doi:10.3390/cells9030727 · Cited by 84 · see citing works
Cell-type-specific role for nucleus accumbens neuroligin-2 in depression and stress susceptibility
Heshmati, M., Aleyasin, H., Menard, C., Christoffel, D. J., Flanigan, M. E., Pfau, M. L., Hodes, G. E., Lepack, A. E., Bicks, L. K., Takahashi, A., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1719014115 · Cited by 75 · see citing works
A thalamic-primary auditory cortex circuit mediates resilience to stress
Li, H.-Y., Zhu, M.-Z., Yuan, X.-R., Guo, Z.-X., Pan, Y.-D., Li, Y.-Q., & Zhu, X.-H. (2023) · Cell · doi:10.1016/j.cell.2023.02.036 · Cited by 64 · see citing works
Pang, T. Y., Short, A. K., Bredy, T. W., & Hannan, A. J. (2017) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2017.02.007 · Cited by 61 · see citing works
Tet1 in Nucleus Accumbens Opposes Depression- and Anxiety-Like Behaviors
Feng, J., Pena, C. J., Purushothaman, I., Engmann, O., Walker, D., Brown, A. N., Issler, O., Doyle, M., Harrigan, E., Mouzon, E., et al. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2017.6 · Cited by 58 · see citing works
Self-citationReduced Slc6a15 in Nucleus Accumbens D2-Neurons Underlies Stress Susceptibility
Chandra, R., Francis, T. C., Nam, H., Riggs, L. M., Engeln, M., Rudzinskas, S., Konkalmatt, P., Russo, S. J., Turecki, G., Iniguez, S. D., et al. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.3250-16.2017 · Cited by 49 · see citing works
miRNAs in depression vulnerability and resilience: novel targets for preventive strategies
Lopizzo, N., Zonca, V., Cattane, N., Pariante, C. M., & Cattaneo, A. (2019) · Journal of Neural Transmission · doi:10.1007/s00702-019-02048-2 · Cited by 37 · see citing works
The molecular basis of depression: implications of sex-related differences in epigenetic regulation
Kawatake-Kuno, A., Murai, T., & Uchida, S. (2021) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2021.708004 · Cited by 23 · see citing works
- Authors
- Dias, C., Feng, J., Sun, H., Shao, N. Y., Mazei-Robison, M. S., Damez-Werno, D., Scobie, K., Bagot, R., LaBonté, B., Ribeiro, E., Liu, X., Kennedy, P., Vialou, V., Ferguson, D., Peña, C., Calipari, E. S., Koo, J. W., Mouzon, E., Ghose, S., Tamminga, C., Neve, R., Shen, L., & Nestler, E. J.
- Affiliations
- Icahn School of Medicine at Mount Sinai (US)
- Inserm (FR)
- The University of Texas Southwestern Medical Center (US)
- Massachusetts Institute of Technology (US)
- Corresponding author
- Shen, Li
- Nestler, Eric J.
- ORCID
- Venue
- Nature
- Published
- 2014-11-12
- Volume
- 516
- Issue
- 7529
- Pages
- 51-55
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4257892
- OpenAlex
- W2005027616
- Cited by
- 240
- References
- 51
- Citations by year
- 2026: 9 · 2025: 14 · 2024: 14 · 2023: 14 · 2022: 19 · 2021: 13 · 2020: 26 · 2019: 23 · 2018: 25 · 2017: 30 · 2016: 32 · 2015: 19 · 2014: 1
- FWCI
- 32.25
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Institutes of Health
- National Institute of Mental Health (P50MH096890, R00MH094405)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Resilience and Mental Health
- Life Sciences › Neuroscience › Behavioral Neuroscience › Stress Responses and Cortisol
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Keywords
- β-catenin, stress resilience, chronic stress, DICER1, microRNA, nucleus accumbens, depression, small RNA biogenesis, anxiolytic effects
- MeSH terms
- Adaptation, Physiological, Animals, Depression, Gene Expression Regulation, Humans, Male, Mice, Inbred C57BL, Neurons, Stress, Physiological, Signal Transduction, Gene Expression Profiling, MicroRNAs, Ribonuclease III, beta Catenin, Mice, DEAD-box RNA Helicases, Genome-Wide Association Study, Resilience, Psychological
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