The HDAC inhibitor CI-994 acts as a molecular memory aid by facilitating synaptic and intracellular communication after learning
Open accessPublished version of a preprint
Abstract
Significance: Memory formation relies on a plethora of functions, including epigenetic modifications. Over recent years, multiple studies have indicated the potential of HDAC inhibitors (HDACis) as cognitive enhancers, but their mode of action is not fully understood. Here, we tested whether HDACi treatment improves memory formation via “cognitive epigenetic priming,” stipulating that HDACis—without inherent target specificity—specifically enhance naturally occurring plasticity processes. We found that combining HDACis with fear learning, but not either treatment alone, enhances synaptic plasticity as well as memory-promoting transcriptional signaling in the hippocampus, a brain area recruited by fear learning, but not in unrelated areas. These results lend experimental support to the theory of cognitive epigenetic priming.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
CI-994 is a cognitive enhancer / improves cognitive function.
“CI-994 can cross the blood–brain barrier and is a cognitive enhancer.”
From CI-994 is a dual modulator of class I HDACs and Wnt/β-catenin signaling for the treatment of Alzheimer's disease (2026) · cites this paper as [24]
The Results section reports that CI-994 improved memory retention in mice when paired with contextual fear conditioning, supporting its description as a cognitive enhancer in that setting. The Discussion reports brain-region-specific effects after systemic administration, but our copy does not directly establish that CI-994 crosses the blood–brain barrier or that it improves cognitive function more generally. (LLM, conf=0.82)
Experimental — accuracy not yet measuredCI-994 acts as a memory enhancer in mouse models of neurodegenerative disorders.
“CI-994 acts as a memory enhancer and alleviates cognitive deficits in mouse models of neurodegenerative disorders [9, 17, 21–24].”
From CI-994 is a dual modulator of class I HDACs and Wnt/β-catenin signaling for the treatment of Alzheimer's disease (2026) · cites this paper as [24]
The Results report that CI-994 improved memory retention after contextual fear conditioning, supporting its description as a memory enhancer. But Materials and Methods (Animals) says all experiments used twelve-week-old male C57BL/6J mice; this paper does not show the effect in mouse models of neurodegenerative disorders. No page numbers are available in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measuredCI-994 alleviates cognitive deficits in mouse models of neurodegenerative disorders.
“CI-994 acts as a memory enhancer and alleviates cognitive deficits in mouse models of neurodegenerative disorders [9, 17, 21–24].”
From CI-994 is a dual modulator of class I HDACs and Wnt/β-catenin signaling for the treatment of Alzheimer's disease (2026) · cites this paper as [24]
The Results section says CI-994 has shown promise against cognitive dysfunction in preclinical animal models. It does not specify that those models had neurodegenerative disorders or establish that CI-994 alleviated their deficits; this study tested memory enhancement in mice undergoing fear conditioning. (LLM, conf=0.86)
Experimental — accuracy not yet measuredCI-994 is a molecular memory aid and promotes memory formation and cognitive function in vivo.
“CI-994 is a molecular memory aid and promotes memory formation and cognitive function in vivo [9, 17, 21–24].”
From CI-994 is a dual modulator of class I HDACs and Wnt/β-catenin signaling for the treatment of Alzheimer's disease (2026) · cites this paper as [24]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
1 retracted
Janczura, K. J., Volmar, C.-H., Sartor, G. C., Rao, S. J., Ricciardi, N. R., Lambert, G., Brothers, S. P., & Wahlestedt, C. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1805436115 · Cited by 183 · see citing works
RetractedModerated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106 · see citing works
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 · see citing works
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041 · see citing works
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400 · see citing works
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709 · see citing works
Model-based Analysis of ChIP-Seq (MACS)
Zhang, Y., Liu, T., Meyer, C. A., Eeckhoute, J., Johnson, D. S., Bernstein, B. E., Nusbaum, C., Myers, R. M., Brown, M., Li, W., et al. (2008) · Genome Biology · doi:10.1186/gb-2008-9-9-r137 · Cited by 18,386 · see citing works
Integrated analysis of multimodal single-cell data
Hao, Y., Hao, S., Andersen-Nissen, E., Mauck, W. M., Zheng, S., Butler, A., Lee, M. J., Wilk, A. J., Darby, C., Zagar, M., et al. (2020) · doi:10.1101/2020.10.12.335331 · Cited by 15,508 · 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
Ultrastructural Characterization of the Lower Motor System in a Mouse Model of Krabbe Disease
Cappello, V., Marchetti, L., Parlanti, P., Landi, S., Tonazzini, I., Cecchini, M., Piazza, V., & Gemmi, M. (2016) · Scientific Reports · doi:10.1038/s41598-016-0001-8 · Cited by 13,097 · see citing works
A synaptic model of memory: long-term potentiation in the hippocampus
Bliss, T. V. P., & Collingridge, G. L. (1993) · Nature · doi:10.1038/361031a0 · Cited by 11,566 · see citing works
Genome-wide atlas of gene expression in the adult mouse brain
Lein, E. S., Hawrylycz, M. J., Ao, N., Ayres, M., Bensinger, A., Bernard, A., Boe, A. F., Boguski, M. S., Brockway, K. S., Byrnes, E. J., et al. (2007) · Nature · doi:10.1038/nature05453 · Cited by 5,572 · see citing works
Zhang, Y., Chen, K., Sloan, S. A., Bennett, M. L., Scholze, A. R., O'Keeffe, S., Phatnani, H. P., Guarnieri, P., Caneda, C., Ruderisch, N., et al. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.1860-14.2014 · Cited by 4,875 · see citing works
McGinnis, C. S., Murrow, L. M., & Gartner, Z. J. (2019) · Cell Systems · doi:10.1016/j.cels.2019.03.003 · Cited by 4,521 · see citing works
Hafemeister, C., & Satija, R. (2019) · Genome Biology · doi:10.1186/s13059-019-1874-1 · Cited by 4,479 · see citing works
Histone H3K27ac separates active from poised enhancers and predicts developmental state
Creyghton, M. P., Cheng, A. W., Welstead, G. G., Kooistra, T., Carey, B. W., Steine, E. J., Hanna, J., Lodato, M. A., Frampton, G. M., Sharp, P. A., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1016071107 · Cited by 4,302 · see citing works
The molecular biology of memory storage: a dialogue between genes and synapses
Kandel, E. R. (2001) · Science · doi:10.1126/science.1067020 · Cited by 3,917 · see citing works
Differential contribution of amygdala and hippocampus to cued and contextual fear conditioning.
Phillips, R. G., & LeDoux, J. E. (1992) · Behavioral Neuroscience · doi:10.1037//0735-7044.106.2.274 · Cited by 3,262 · see citing works
Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq
Zeisel, A., Muñoz-Manchado, A. B., Codeluppi, S., Lönnerberg, P., La Manno, G., Juréus, A., Marques, S., Munguba, H., He, L., Betsholtz, C., et al. (2015) · Science · doi:10.1126/science.aaa1934 · Cited by 3,124 · see citing works
Zerbino, D. R., Achuthan, P., Akanni, W., Amode, M. R., Barrell, D., Bhai, J., Billis, K., Cummins, C., Gall, A., Girón, C. G., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1098 · Cited by 2,605 · see citing works
ChromHMM: automating chromatin-state discovery and characterization
Ernst, J., & Kellis, M. (2012) · Nature Methods · doi:10.1038/nmeth.1906 · Cited by 2,489 · see citing works
D’Hulst, G., Soro-Arnaiz, I., Masschelein, E., Veys, K., Fitzgerald, G., Smeuninx, B., Kim, S., Deldicque, L., Blaauw, B., Carmeliet, P., et al. (2020) · Nature Communications · doi:10.1038/s41467-019-13889-6 · Cited by 2,310 · see citing works
Pathview: an R/Bioconductor package for pathway-based data integration and visualization
Luo, W., & Brouwer, C. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt285 · Cited by 2,297 · see citing works
Cui, P., Zhang, S., Ding, F. H., Ali, S., & Xiong, L. (2014) · Genome biology · doi:10.1186/gb-2014-15-1-r1 · Cited by 2,282 · see citing works
Biodiversity on the Rocks: Macrofauna Inhabiting Authigenic Carbonate at Costa Rica Methane Seeps
Levin, L. A., Mendoza, G., Grupe, B., Gonzalez, J. P., Jellison, B. M., Rouse, G. W., Thurber, A. R., & Warén, A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0131080 · Cited by 2,166 · see citing works
Learning induces long-term potentiation in the hippocampus
Whitlock, J. R., Heynen, A. J., Shuler, M. G., & Bear, M. F. (2006) · Science · doi:10.1126/science.1128134 · Cited by 1,913 · see citing works
Genome-wide mapping of HATs and HDACs reveals distinct functions in active and inactive genes
Wang, Z., Zang, C., Cui, K., Schones, D. E., Barski, A., Peng, W., & Zhao, K. (2009) · Cell · doi:10.1016/j.cell.2009.06.049 · Cited by 1,344 · see citing works
Regulation of histone acetylation during memory formation in the hippocampus
Levenson, J. M., O'Riordan, K. J., Brown, K. D., Trinh, M. A., Molfese, D. L., & Sweatt, J. D. (2004) · Journal of Biological Chemistry · doi:10.1074/jbc.m402229200 · Cited by 1,131 · see citing works
The MAPK cascade is required for mammalian associative learning
Atkins, C. M., Selcher, J. C., Petraitis, J. J., Trzaskos, J. M., & Sweatt, J. D. (1998) · Nature Neuroscience · doi:10.1038/2836 · Cited by 1,083 · see citing works
Transcriptional and epigenetic mechanisms of addiction
Robison, A. J., & Nestler, E. J. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3111 · Cited by 993 · see citing works
Engineering a memory with LTD and LTP
Nabavi, S., Fox, R., Proulx, C. D., Lin, J. Y., Tsien, R. Y., & Malinow, R. (2014) · Nature · doi:10.1038/nature13294 · Cited by 980 · see citing works
Altered Histone Acetylation Is Associated with Age-Dependent Memory Impairment in Mice
Peleg, S., Sananbenesi, F., Zovoilis, A., Burkhardt, S., Bahari-Javan, S., Agis-Balboa, R. C., Cota, P., Wittnam, J. L., Gogol-Doering, A., Opitz, L., et al. (2010) · Science · doi:10.1126/science.1186088 · Cited by 951 · see citing works
Haber, S. N. (2016) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2016.18.1/shaber · Cited by 922 · see citing works
An epigenetic blockade of cognitive functions in the neurodegenerating brain
Gräff, J., Rei, D., Guan, J.-S., Wang, W.-Y., Seo, J., Hennig, K. M., Nieland, T. J. F., Fass, D. M., Kao, P. F., Kahn, M., et al. (2012) · Nature · doi:10.1038/nature10849 · Cited by 853 · see citing works
Self-citationVecsey, C. G., Hawk, J. D., Lattal, K. M., Stein, J. M., Fabian, S., Attner, M. A., Cabrera, S. M., McDonough, C. B., Brindle, P. K., Abel, T. G., et al. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.0296-07.2007 · Cited by 828 · see citing works
Epigenetic mechanisms in memory formation
Levenson, J. M., & Sweatt, J. D. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1604 · Cited by 767 · see citing works
Josselyn, S. A., Köhler, S., & Frankland, P. W. (2015) · Nature reviews. Neuroscience · doi:10.1038/nrn4000 · Cited by 687 · see citing works
Histone acetylation: molecular mnemonics on the chromatin
Gräff, J., & Tsai, L.-H. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3427 · Cited by 680 · see citing works
Self-citationDavis, S., Vanhoutte, P., Pagès, C., Caboche, J., & Laroche, S. (2000) · Journal of Neuroscience · doi:10.1523/jneurosci.20-12-04563.2000 · Cited by 621 · see citing works
Molecular Psychology: Roles for the ERK MAP Kinase Cascade in Memory
Adams, J. P., & Sweatt, J. D. (2002) · The Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev.pharmtox.42.082701.145401 · Cited by 588 · see citing works
Histone Methylation Regulates Memory Formation
Gupta, S., Kim, S. Y., Artis, S., Molfese, D. L., Schumacher, A., Sweatt, J. D., Paylor, R. E., & Lubin, F. D. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.3732-09.2010 · Cited by 562 · see citing works
Churchill, A., Gutiérrez, G. D., Singer, R. A., Lorberbaum, D. S., Fischer, K. A., & Sussel, L. (2017) · eLife · doi:10.7554/elife.20010 · Cited by 543 · see citing works
Blum, S., Moore, A. N., Adams, F., & Dash, P. K. (1999) · Journal of Neuroscience · doi:10.1523/jneurosci.19-09-03535.1999 · Cited by 522 · see citing works
Single-cell analysis of experience-dependent transcriptomic states in the mouse visual cortex
Hrvatin, S., Hochbaum, D. R., Nagy, M. A., Cicconet, M., Robertson, K., Cheadle, L., Zilionis, R., Ratner, A., Borges-Monroy, R., Klein, A. M., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-017-0029-5 · Cited by 497 · see citing works
Role of p38 MAP Kinase Signal Transduction in Solid Tumors
Koul, H. K., Pal, M., & Koul, S. (2013) · Genes & Cancer · doi:10.1177/1947601913507951 · Cited by 485 · see citing works
Miller, C. A., Campbell, S. L., & Sweatt, J. D. (2007) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2007.07.016 · Cited by 417 · see citing works
Different Neuronal Activity Patterns Induce Different Gene Expression Programs
Tyssowski, K. M., DeStefino, N. R., Cho, J.-H., Dunn, C. J., Poston, R. G., Carty, C. E., Jones, R. D., Chang, S. M., Romeo, P., Wurzelmann, M. K., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.04.001 · Cited by 390 · see citing works
Differential Corticostriatal Plasticity during Fast and Slow Motor Skill Learning in Mice
Costa, R. M., Cohen, D., & Nicolelis, M. A. L. (2004) · Current Biology · doi:10.1016/j.cub.2004.06.053 · Cited by 373 · see citing works
The molecular and cellular biology of enhanced cognition
Lee, Y.-S., & Silva, A. J. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2572 · Cited by 361 · see citing works
DNA methylation changes in plasticity genes accompany the formation and maintenance of memory
Halder, R., Hennion, M., Vidal, R. O., Shomroni, O., Rahman, R.-U., Rajput, A., Centeno, T. P., van Bebber, F., Capece, V., Vizcaino, J. C. G., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4194 · Cited by 358 · see citing works
Epigenetic Priming of Memory Updating during Reconsolidation to Attenuate Remote Fear Memories
Gräff, J., Joseph, N. F., Horn, M. E., Samiei, A., Meng, J., Seo, J., Rei, D., Bero, A. W., Phan, T. X., Wagner, F., et al. (2014) · Cell · doi:10.1016/j.cell.2013.12.020 · Cited by 357 · see citing works
Self-citationCell type prioritization in single-cell data
Skinnider, M. A., Squair, J. W., Kathe, C., Anderson, M. A., Gautier, M., Matson, K. J. E., Milano, M., Hutson, T. H., Barraud, Q., Phillips, A. A., et al. (2021) · Nature Biotechnology · doi:10.1038/s41587-020-0605-1 · Cited by 274 · see citing works
Genome-wide identification and characterization of functional neuronal activity–dependent enhancers
Malik, A. N., Vierbuchen, T., Hemberg, M., Rubin, A. A., Ling, E., Couch, C. H., Stroud, H., Spiegel, I., Farh, K. K., Harmin, D. A., et al. (2014) · Nature Neuroscience · doi:10.1038/nn.3808 · Cited by 267 · see citing works
ERK in Learning and Memory: A Review of Recent Research
Peng, S., Zhang, Y., Zhang, J., Wang, H., & Ren, B. (2010) · International Journal of Molecular Sciences · doi:10.3390/ijms11010222 · Cited by 254 · see citing works
A Cell Atlas for the Mouse Brain
Erö, C., Gewaltig, M.-O., Keller, D. X., & Markram, H. (2018) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2018.00084 · Cited by 244 · see citing works
The Motion of Body Center of Mass During Walking: A Review Oriented to Clinical Applications
Tesio, L., & Rota, V. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.00999 · Cited by 240 · see citing works
Chwang, W. B., Arthur, J. S. C., Schumacher, A., & Sweatt, J. D. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.2522-07.2007 · Cited by 239 · see citing works
Neuronal activity modifies the chromatin accessibility landscape in the adult brain
Su, Y., Shin, J., Zhong, C., Wang, S. Z., Roychowdhury, P., Lim, J., Kim, D. S., Ming, G., & Song, H. (2017) · Nature Neuroscience · doi:10.1038/nn.4494 · Cited by 234 · see citing works
Monsey, M. S., Ota, K. T., Akingbade, I. F., Hong, E. S., & Schafe, G. E. (2011) · PLoS ONE · doi:10.1371/journal.pone.0019958 · Cited by 215 · see citing works
Bradner, J. E., Mak, R., Tanguturi, S. K., Mazitschek, R., Haggarty, S. J., Ross, K., Chang, C. Y., Bosco, J., West, N., Morse, E., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1006774107 · Cited by 211 · see citing works
Bousiges, O., de Vasconcelos, A. P., Neidl, R., Cosquer, B., Herbeaux, K., Panteleeva, I., Loeffler, J., Cassel, J., & Boutillier, A. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2010.117 · Cited by 190 · see citing works
HDAC inhibitor–dependent transcriptome and memory reinstatement in cognitive decline models
Benito, E., Urbanke, H., Ramachandran, B., Barth, J., Halder, R., Awasthi, A., Jain, G., Capece, V., Burkhardt, S., Navarro-Sala, M., et al. (2015) · Journal of Clinical Investigation · doi:10.1172/jci79942 · Cited by 190 · see citing works
Zalocusky, K. A., Najm, R., Taubes, A. L., Hao, Y., Yoon, S. Y., Koutsodendris, N., Nelson, M. R., Rao, A., Bennett, D. A., Bant, J., et al. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00851-3 · Cited by 189 · see citing works
HDAC inhibition potentiates immunotherapy in triple negative breast cancer
Terranova-Barberio, M., Thomas, S., Ali, N., Pawlowska, N., Park, J., Krings, G., Rosenblum, M. D., Budillon, A., & Munster, P. N. (2017) · Oncotarget · doi:10.18632/oncotarget.23169 · Cited by 182 · see citing works
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 175 · see citing works
Histone Deacetylases Positively Regulate Transcription through the Elongation Machinery
Greer, C. B., Tanaka, Y., Kim, Y. J., Xie, P., Zhang, M. Q., Park, I.-H., & Kim, T. H. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.10.013 · Cited by 174 · see citing works
Rapid activity-induced transcription of Arc and other IEGs relies on poised RNA polymerase II
Saha, R. N., Wissink, E. M., Bailey, E. R., Zhao, M., Fargo, D. C., Hwang, J., Daigle, K. R., Fenn, J. D., Adelman, K., & Dudek, S. M. (2011) · Nature Neuroscience · doi:10.1038/nn.2839 · Cited by 170 · see citing works
Immediate and deferred epigenomic signatures of in vivo neuronal activation in mouse hippocampus
Fernandez-Albert, J., Lipinski, M., Lopez-Cascales, M. T., Rowley, M. J., Martin-Gonzalez, A. M., del Blanco, B., Corces, V. G., & Barco, A. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0476-2 · Cited by 166 · see citing works
Physiological Roles of Class I HDAC Complex and Histone Demethylase
Hayakawa, T., & Nakayama, J. (2010) · BioMed Research International · doi:10.1155/2011/129383 · Cited by 165 · see citing works
Marco, A., Meharena, H. S., Dileep, V., Raju, R. M., Davila-Velderrain, J., Zhang, A. L., Adaikkan, C., Young, J. Z., Gao, F., Kellis, M., et al. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-00717-0 · Cited by 159 · see citing works
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 157 · see citing works
Revest, J., Roux, A. L., Roullot, V., Kaouane, N., Vallée, M., Kasanetz, F., Rougé‐Pont, F., Tronche, F., Desmedt, A., & Piazza, P. V. (2013) · Molecular Psychiatry · doi:10.1038/mp.2013.134 · Cited by 141 · see citing works
A Narrative Review of the Role of Transthyretin in Health and Disease
Liz, M. A., Coelho, T., Bellotti, V., Fernandez-Arias, M. I., Mallaina, P., & Obici, L. P. (2020) · Neurology and Therapy · doi:10.1007/s40120-020-00217-0 · Cited by 132 · see citing works
Scandura, J. M., Roboz, G. J., Moh, M., Morawa, E., Brenet, F. A., Bose, J. R., Villegas, L. J., Gergis, U. S., Mayer, S. A., Ippoliti, C. M., et al. (2011) · Blood · doi:10.1182/blood-2010-11-320093 · Cited by 129 · see citing works
Carullo, N. V. N., Phillips, R. A., III, Simon, R. C., Soto, S. A. R., Hinds, J. E., Salisbury, A. J., Revanna, J. S., Bunner, K. D., Ianov, L., Sultan, F. A., et al. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa671 · Cited by 128 · see citing works
Transthyretin: A key gene involved in the maintenance of memory capacities during aging
Brouillette, J., & Quirion, R. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.04.007 · Cited by 120 · see citing works
Marondedze, C., Turek, I., Parrott, B., Thomas, L. A., Janković, B. R., Lilley, K. S., & Gehring, C. (2013) · Cell Communication and Signaling · doi:10.1186/1478-811x-11-1 · Cited by 120 · see citing works
Neurotrophin-induced modulation of synaptic transmission in the adult hippocampus
Kang, H., & Schuman, E. M. (1995) · Journal of Physiology-Paris · doi:10.1016/0928-4257(96)80547-x · Cited by 116 · see citing works
Schröder, S., Herker, E., Itzen, F., He, D. X., Thomas, S., Gilchrist, D. A., Kaehlcke, K., Cho, S., Pollard, K. S., Capra, J. A., et al. (2013) · Molecular Cell · doi:10.1016/j.molcel.2013.10.009 · Cited by 115 · see citing works
Genomic targets, and histone acetylation and gene expression profiling of neural HDAC inhibition
López‐Atalaya, J. P., Ito, S., Valor, L. M., Benito, E., & Barco, Á. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt590 · Cited by 105 · see citing works
Adenylyl Cyclase Type 5 Contributes to Corticostriatal Plasticity and Striatum-Dependent Learning
Kheirbek, M. A., Britt, J. P., Beeler, J. A., Ishikawa, Y., McGehee, D. S., & Zhuang, X. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.3343-09.2009 · Cited by 93 · see citing works
Hinds, H. L., Goussakov, I. V., Nakazawa, K., Tonegawa, S., & Bolshakov, V. Y. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0530202100 · Cited by 89 · see citing works
Jaeger, B. N., Linker, S. B., Parylak, S., Barron, J. J., Gallina, I. S., Saavedra, C. D., Fitzpatrick, C., Lim, C. K., Schafer, S. T., Lacar, B., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05418-8 · Cited by 83 · see citing works
Interpreting the role of the striatum during multiple phases of motor learning
Cataldi, S., Stanley, A. T., Miniaci, M. C., & Sulzer, D. L. (2021) · FEBS Journal · doi:10.1111/febs.15908 · Cited by 83 · see citing works
Chromatin Remodeling Complex NuRD in Neurodevelopment and Neurodevelopmental Disorders
Hoffmann, A., & Spengler, D. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00682 · Cited by 82 · see citing works
Sacchetti, B., Lorenzini, C. A., Baldi, E., Bucherelli, C., Roberto, M., Tassoni, G., & Brunelli, M. (2002) · European Journal of Neuroscience · doi:10.1046/j.0953-816x.2001.01844.x · Cited by 78 · see citing works
Pearce, K. C., Cai, D., Roberts, A. C., & Glanzman, D. L. (2017) · eLife · doi:10.7554/elife.18299 · Cited by 77 · see citing works
Sada, N., Fujita, Y., Mizuta, N., Ueno, M., Furukawa, T., & Yamashita, T. (2020) · Cell Death and Disease · doi:10.1038/s41419-020-02897-w · Cited by 74 · see citing works
Volmar, C., Salah-Uddin, H., Janczura, K. J., Halley, P., Lambert, G., Wodrich, A. P. K., Manoah, S., Patel, N. H., Sartor, G. C., Mehta, N., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1707544114 · Cited by 64 · see citing works
Experience-dependent epigenomic reorganization in the hippocampusPreprint
Duke, C. G., Kennedy, A. J., Gavin, C. F., Day, J. J., & Sweatt, J. D. (2017) · Learning & Memory · doi:10.1101/lm.045112.117 · Cited by 63 · see citing works
Siebzehnrübl, F. A., Raber, K. A., Urbach, Y. K., Schulze-Krebs, A., Canneva, F., Moceri, S., Habermeyer, J., Achoui, D., Gupta, B., Steindler, D. A., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1807962115 · Cited by 63 · see citing works
Cognitive epigenetic priming: leveraging histone acetylation for memory amelioration
Burns, A. M., & Gräff, J. (2021) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2020.08.011 · Cited by 62 · see citing works
Self-citationLiu, J., Wu, X., Zhang, H., Pfeifer, G. P., & Lü, Q. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.07.046 · Cited by 61 · see citing works
Prioritization of cell types responsive to biological perturbations in single-cell data with Augur
Squair, J. W., Skinnider, M. A., Gautier, M., Foster, L. J., & Courtine, G. (2021) · Nature Protocols · doi:10.1038/s41596-021-00561-x · Cited by 61 · see citing works
Effects of dorsal striatum lesions in tone fear conditioning and contextual fear conditioning
Ferreira, T. L., Moreira, K. D. M., Ikeda, D. C., Bueno, O. F. A., & Oliveira, M. G. M. (2003) · Brain Research · doi:10.1016/s0006-8993(03)03217-7 · Cited by 55 · see citing works
HDAC inhibition promotes both initial consolidation and reconsolidation of spatial memory in mice
Villain, H., Florian, C., & Roullet, P. (2016) · Scientific Reports · doi:10.1038/srep27015 · Cited by 54 · see citing works
The dosage of the neuroD2 transcription factor regulates amygdala development and emotional learning
Lin, C. A., Hansen, S. J., Wang, Z., Storm, D. R., Tapscott, S. J., & Olson, J. M. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506785102 · Cited by 52 · see citing works
Parsons, R. G., & Davis, M. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0939-12.2012 · Cited by 49 · see citing works
Hori, K., Nagai, T., Shan, W., Sakamoto, A., Abe, M., Yamazaki, M., Sakimura, K., Yamada, K., & Hoshino, M. (2015) · PLoS ONE · doi:10.1371/journal.pone.0145979 · Cited by 47 · see citing works
Circulating microRNA signature of steroid‐induced osteonecrosis of the femoral head
Li, Z., Jiang, C., Li, X., Wu, W. K. K., Chen, X., Zhu, S., Ye, C., Chan, M. T. V., & Qian, W. (2017) · Cell Proliferation · doi:10.1111/cpr.12418 · Cited by 46 · see citing works
Cooper, A., Butto, T., Hammer, N., Jagannath, S., Fend-Guella, D. L., Akhtar, J., Radyushkin, K., Lesage, F., Winter, J., Strand, S., et al. (2020) · Nature Communications · doi:10.1038/s41467-019-13918-4 · Cited by 37 · see citing works
Epigenetic Priming in Drug AddictionPreprint
Mews, P., Walker, D. M., & Nestler, E. J. (2018) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.2018.83.037663 · Cited by 35 · see citing works
Complex Dynamics in Simplified Neuronal Models: Reproducing Golgi Cell Electroresponsiveness
Geminiani, A., Casellato, C., Locatelli, F., Prestori, F., Pedrocchi, A., & D'Angelo, E. U. (2018) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2018.00088 · Cited by 33 · see citing works
Li, S., Lu, X., Shao, Q., Chen, Z., Huang, Q., Jiao, Z., Huang, X., Yue, M., Peng, J., Zhou, X., et al. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.00893 · Cited by 33 · see citing works
Crosstalk between RNA Pol II C-Terminal Domain Acetylation and Phosphorylation via RPRD Proteins
Ali, I., Ruiz, D. G., Ni, Z., Johnson, J. R., Zhang, H., Li, P.-C., Khalid, M. M., Conrad, R. J., Guo, X., Min, J., et al. (2019) · Molecular Cell · doi:10.1016/j.molcel.2019.04.008 · Cited by 32 · see citing works
Suetterlin, P., Williams, E. J., Chambers, D. J., Saraf, K. A., von Schack, D., Reisenberg, M., Doherty, P., & Williams, G. H. (2012) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2012.10.006 · Cited by 30 · see citing works
Shih, P.-Y., Hsieh, B.-Y., Tsai, C., Lo, C., Chen, B. E., & Hsueh, Y. (2020) · Acta Neuropathologica Communications · doi:10.1186/s40478-020-01053-x · Cited by 29 · see citing works
Assous, M., Martinez, E. A., Eisenberg, C., Kosc, A., Varghese, K., Espinoza, D., Bhimani, S., Shah, F., Tepper, J. M., Shiflett, M. W., et al. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.1006-19.2019 · Cited by 27 · see citing works
Jin, L. G., Guo, Q., Zhang, G., Xing, X., Xuan, M., Luo, Q., Luo, Z., Wang, J., Yin, X., & Kang, J. (2018) · Cellular Reprogramming · doi:10.1089/cell.2018.0001 · Cited by 16 · see citing works
Altered expression of synaptotagmin 13 mRNA in adult mouse brain after contextual fear conditioning
Han, S., Hong, S., Lee, D., Lee, M.-H., Choi, J.-S., Koh, M. J., Sun, W., Kim, H., & Lee, H. W. (2012) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2012.07.166 · Cited by 16 · see citing works
Stem cell factor-mediated activation pathways promote murine eosinophil CCL6 production and survival
Dolgachev, V. A., Thomas, M. R., Berlin, A. A., & Lukacs, N. W. (2007) · Journal of Leukocyte Biology · doi:10.1189/jlb.0906595 · Cited by 15 · see citing works
allie-burns/2022_Burns_etal: Code Repository Release for Burns et al., 2022, PNAS
Burns, A. (2022) · Zenodo · doi:10.5281/zenodo.6543201
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- [92]A. M. Burns, J. Gräff, GEO database release for Burns et al., PNAS (2022). https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE185455. Deposited 6 October 2021.
Cited by
Sorted by citations
Chromatin plasticity predetermines neuronal eligibility for memory trace formation
Santoni, G., Astori, S., Leleu, M., Glauser, L., Zamora, S. A., Schioppa, M., Tarulli, I., Sandi, C., & Gräff, J. (2024) · Science · doi:10.1126/science.adg9982 · Cited by 82 · see citing works
Self-citationRole of histone modifications in neurogenesis and neurodegenerative disease development
Zhao, A., Xu, W., Han, R., Wei, J., Qi, Y., Wang, M., Li, H., Li, M., & Chi, G. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102324 · Cited by 59 · see citing works
Xu, H., Yu, H., Liu, L., Wu, H., Zhang, C., Cai, W., Hong, X., Liu, D. J., Tang, D., & Dai, Y. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.760381 · Cited by 38 · see citing works
Enhancing HCC Treatment: innovatively combining HDAC2 inhibitor with PD-1/PD-L1 inhibition
Han, R., Ling, C., Wang, Y., & Lu, L. (2023) · Cancer Cell International · doi:10.1186/s12935-023-03051-0 · Cited by 29 · see citing works
On making (and turning adaptive to) maladaptive aversive memories in laboratory rodents
Gazarini, L., Stern, C. A. J., & Bertoglio, L. J. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105101 · Cited by 25 · see citing works
Dopamine D1–D2 signalling in hippocampus arbitrates approach and avoidance
Godino, A., Salery, M., Minier-Toribio, A. M., Patel, V., Fullard, J. F., Kondev, V., Parise, E. M., Martínez-Rivera, F. J., Morel, C., Roussos, P., et al. (2025) · Nature · doi:10.1038/s41586-025-08957-5 · Cited by 23 · see citing works
Histone Deacetylase Inhibitors as Cognitive Enhancers and Modifiers of Mood and Behavior
Pal, D., Sahu, P., Mishra, A. K., Hagelgans, A., & Sukocheva, O. A. (2022) · Current Drug Targets · doi:10.2174/1389450124666221207090108 · Cited by 19 · see citing works
Environmental epigenetics: new horizons in redefining biological and health outcomes
Faraji, J., & Metz, G. A. S. (2026) · Environment International · doi:10.1016/j.envint.2026.110072 · Cited by 21 · see citing works
From cellular to fear memory: An epigenetic toolbox to remember
Coda, D. M., & Gräff, J. (2023) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2023.102829 · Cited by 16 · see citing works
Self-citationBest, A. J., Braunschweig, U., Wu, M., Farhangmehr, S., Pasculescu, A., Lim, J. J., Comsa, L. C., Jen, M., Wang, J., Datti, A., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-50399-6 · Cited by 16 · see citing works
The lactate metabolism and protein lactylation in epilepsy
Kuang, X., Chen, S., & Ye, Q. (2025) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2024.1464169 · Cited by 14 · see citing works
Cell-type- and locus-specific epigenetic editing of memory expression
Coda, D. M., Watt, L., Glauser, L., Batiuk, M. Y., Burns, A. M., Stahl, C. L., Wong, L. Y., & Gräff, J. (2025) · Nature Genetics · doi:10.1038/s41588-025-02368-y · Cited by 13 · see citing works
Self-citation(2R,6R)-hydroxynorketamine targeting the basolateral amygdala regulates fear memory
Xu, Y., Yu, Z., Chen, S. X., Li, Z., Long, X., Chen, M., Lee, C., Peng, H., Lin, T., Hsieh, M., et al. (2022) · Neuropharmacology · doi:10.1016/j.neuropharm.2022.109402 · Cited by 12 · see citing works
Exploring the Genetic Predisposition to Epigenetic Changes in Alzheimer’s Disease
Bryzgalov, L. O., Korbolina, E. E., & Merkulova, T. I. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24097955 · Cited by 11 · see citing works
Emerging roles of histone modifications in environmental toxicants-induced neurotoxicity
Mehta, I. S., Verma, M., Quasmi, M. N., Kumar, D., & Jangra, A. (2025) · Toxicology · doi:10.1016/j.tox.2025.154164 · Cited by 10 · see citing works
McClarty, B. M., Rodríguez, G., & Dong, H. (2024) · Brain Research · doi:10.1016/j.brainres.2024.148951 · Cited by 9 · see citing works
Activation of β2-adrenergic receptors prevents AD-type synaptotoxicity via epigenetic mechanisms
Jin, M., Wei, Z., Ramalingam, N., Xiao, M., Xu, A., Yu, X., Song, Q., Liu, W., Zhao, J., Zhang, D., et al. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02145-5 · Cited by 8 · see citing works
Research progress on intestinal microbiota regulating cognitive function through the gut-brain axis
Lin, K., Peng, F., He, K., Qian, Z., Mei, X., Su, Z., Wujimaiti, Y., Xia, X., & Zhang, T. (2024) · Neurological Sciences · doi:10.1007/s10072-024-07525-5 · Cited by 7 · see citing works
Jino, K., Miyamoto, K., Kanbara, T., Unemura, C., Horiguchi, N., & Ago, Y. (2023) · Psychopharmacology · doi:10.1007/s00213-023-06510-8 · Cited by 6 · see citing works
Molecular targets of histone deacetylase inhibitors in neurodegeneration and neuroprotection
Park, Y., Yu, S., Hwang, S. Y., & Seo, H. (2024) · Molecular & Cellular Toxicology · doi:10.1007/s13273-024-00441-x · Cited by 5 · see citing works
From Better Diagnostics to Earlier Treatment: The Rapidly Evolving Alzheimer’s Disease Landscape
Bougea, A. M., Debasa‐Mouce, M., Gulkarov, S., Castro‐Mosquera, M., Reiss, A. B., & Ouro, A. (2025) · Medicina · doi:10.3390/medicina61081462 · Cited by 5 · see citing works
Lu, W., Kawatani, K., Ren, Y., Nambara, T., Jia, L., Jeevaratnam, S., Lee, E., Martinez, P. R., Izhar, T., Wang, N., et al. (2026) · Alzheimer's Research & Therapy · doi:10.1186/s13195-026-01982-0 · Cited by 4 · see citing works
Eghdami, S., Saeidi, M., Gunturu, S., Boroon, M., & Shalbafan, M. (2025) · Life · doi:10.3390/life15101585 · Cited by 4 · see citing works
Li, X., Wang, G., Li, W., Wang, X., Wu, J., He, Y., Li, X., Sun, X., Zhang, M., & Guo, Y. (2023) · The FASEB Journal · doi:10.1096/fj.202300168r · Cited by 4 · see citing works
Saleh, A. Y., Saputra, D. A. Y., Valentina, R., & Susanto, T. D. (2025) · F1000Research · doi:10.12688/f1000research.160416.3 · Cited by 1 · see citing works
Gomez, C. G., Rosa‐Calatrava, M., & Fouret, J. (2024) · Briefings in Bioinformatics · doi:10.1093/bib/bbae299 · Cited by 3 · see citing works
Nami, M., Wang, D. O., Panel, M.-N., Abel, T. G., Banerjee, S., Bredy, T. W., Chaudhury, D., Frankland, P. W., Hayashi, Y., Hirase, H., et al. (2026) · Molecular Brain · doi:10.1186/s13041-026-01281-7 · Cited by 2 · see citing works
Manipulating Engram Histone Acetylation Alters Memory Consolidation
Watt, L., Glauser, L., Coda, D. M., & Gräff, J. (2025) · Hippocampus · doi:10.1002/hipo.70041 · Cited by 2 · see citing works
Self-citationRibbens, C., Peeters, L., Oudenhove, L. V., Vervliet, B., & Dalile, B. (2026) · Molecular Psychiatry · doi:10.1038/s41380-026-03802-1 · Cited by 2 · see citing works
Lysine crotonylation acts as an epigenetic switch for glutamate neurotransmission and spatial memory
Mukherjee, U., Basu, B., Suryavanshi, P. S., Beyer, S. E., Ghodsi, S., Robillard, N., Vanrobaeys, Y. S., Taylor, E. B., Glykys, J., Abel, T. G., et al. (2026) · Proceedings of the National Academy of Sciences · doi:10.1101/2025.02.19.639114 · Cited by 1 · see citing works
A neuronal cell-based reporter system for monitoring the activity of HDAC2
Unemura, K., Kawano, M., Takakura, M., Iwata, I., Hyakkoku, K., Horiguchi, N., Okuda, T., & Hirano, Y. (2022) · SLAS DISCOVERY · doi:10.1016/j.slasd.2022.10.001 · Cited by 1 · see citing works
Advances in fear memory erasure and its neural mechanisms
Guo, W., Wang, X., Zhou, Z., Li, Y., Hou, Y., Wang, K., Wei, R., Ma, X., & Zhang, H. (2025) · Frontiers in Neurology · doi:10.3389/fneur.2024.1481450 · Cited by 1 · see citing works
Epigenetic manipulation of anterior insular cortex alters neural signals and cognitive control
Perry, S., Sharalla, P., Sarubin, D. R., Li, X., Roesch, M. R., & Brockett, A. T. (2025) · Neuropsychopharmacology · doi:10.1038/s41386-025-02181-5 · Cited by 1 · see citing works
A computational framework for epigenetic plasticity in memory
Delamare, G., Wagle, S., Gräff, J., & Claudia Clopath, A. (2026) · Brain · doi:10.1093/brain/awag094 · Cited by 1 · see citing works
Self-citationSuzuki, N., Yamakawa, H., Yoshihara, K., Niidome, K., Anan, K., Takaya, K., Kouki, K., Fujimoto, K., Ono, H., Izumi, T., et al. (2026) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.5c02022 · Cited by 1 · see citing works
Saleh, A. Y., Saputra, D. A. Y., Valentina, R., & Susanto, T. D. (2025) · F1000Research · doi:10.12688/f1000research.160416.2 · Cited by 1 · see citing works
New Genome-Wide Technologies to Study Activity-Regulated Transcription
Niñerola, S., & Barco, Á. (2024) · Springer eBooks · doi:10.1007/978-3-031-68550-7_19
Saleh, A. Y., Saputra, D. A. Y., Valentina, R., & Susanto, T. D. (2025) · F1000Research · doi:10.12688/f1000research.160416.1 · Cited by 1 · see citing works
Costa, A., Bozdağ, M., Renzi, G., Rani, B., Passani, M. B., Angeli, A., Provensi, G., Carta, F., & Supuran, C. T. (2025) · Archiv der Pharmazie · doi:10.1002/ardp.70020
Lü, W., Caulfield, T. R., Lee, E., Jeevaratnam, S., Wang, N., Bu, G., Kanekiyo, T., & Li, Y. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.04.30.721954
High-throughput identification of protein turnover modulators in human neuronsPreprint
Dembska, J., Mahul‐Mellier, A., Tollenaere, A., Jasiqi, Y., & Suter, D. M. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.06.723176
Wang, W., Wang, S., Zheng, Z., Cao, Y., Tan, M., Wang, J., Jian, J., Ding, Y., Chen, L. X., Hu, Z., et al. (2026) · Brain‐X · doi:10.1002/brx2.70049
Regulation of Peanut Stress Response by Histone Acetylation: Insights from HATs and HDACs
Wang, Q., Li, C., Miao, H., Wang, J., Shan, S., & Sun, Q. (2026) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.5c15016
Lu, W., Caulfield, T. R., Lee, E., Jeevaratnam, S., Wang, N., Bu, G., Kanekiyo, T., & Li, Y. (2026) · Neurotherapeutics · doi:10.1016/j.neurot.2026.e00974
Nup153 regulates neuronal responsiveness through HDAC1-mediated epigenetic modulationPreprint
Soni, A., Petridi, S., Sforza, M. L., Kluetsch, D., Sakurai, K., Hu, X., Rund, N., Karasinsky, A., Pineda, J. H., Houtman, J., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.08.02.742238
Treating neurological diseases through epigenetic inhibition: A neuroepigenetic therapy hypothesis
Reddy, D. S., Franklin, L., Golub, V. M., Desai, H., & Ramakrishnan, S. (2026) · Journal of Pharmacology and Experimental Therapeutics · doi:10.1016/j.jpet.2026.105019
Histone Deacetylase Inhibitors Improve Memory Function and Decrease Neuropathology in APP/PS1 MicePreprint
McClarty, B. M., Monteiro, R., & Dong, H. (2026) · Research Square · doi:10.21203/rs.3.rs-10816126/v1 · Cited by 1 · see citing works
Sierra, C., Crans, R. A. J., & Dierssen, M. (2026) · iScience · doi:10.1016/j.isci.2026.117670
Robles, A. J., D'hers, S., Feld, M., & Romano, A. G. (2026) · Molecular Neurobiology · doi:10.1007/s12035-026-06268-y
- Authors
- Burns, A. M., Farinelli-Scharly, M., Hugues-Ascery, S., Sanchez-Mut, J. V., Santoni, G., & Gräff, J.
- Affiliations
- École Polytechnique Fédérale de Lausanne (CH)
- E-Phy-Science (France) (FR)
- Electrophysiology Platform, E-PHY-SCIENCE, 06410 Biot, France
- Corresponding author
- Gräff, Johannes
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2022-05-25
- Volume
- 119
- Issue
- 22
- Pages
- e2116797119-e2116797119
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC9295763
- OpenAlex
- W4281486995
- Cited by
- 49
- References
- 111
- Citations by year
- 2026: 16 · 2025: 14 · 2024: 8 · 2023: 7 · 2022: 3 · 2021: 1
- FWCI
- 4.13
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion, cc-by-nc-nd)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion, cc-by-nc-nd)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
- Funders
- National Science Foundation
- École Polytechnique Fédérale de Lausanne
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (51NF40, 185897, 155898)
- H2020 European Research Council (678832)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Histone Deacetylase Inhibitors Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- CI-994, histone deacetylase inhibitors, class I HDACs, long-term memory, contextual fear conditioning, long-term potentiation, hippocampus, dentate gyrus, synaptic plasticity, epigenetic modifications, histone acetylation, enhancers, gene expression, nootropic drugs, striatum
- MeSH terms
- RNA-Seq, Animals, Benzamides, Cell Communication, Neuronal Plasticity, Neurons, Phenylenediamines, Dentate Gyrus, Mice, Histone Deacetylase Inhibitors, Memory, Long-Term, Single-Cell Analysis
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