The DOI matches its Crossref record; 67 of the 68 references it cites were found in a registry or an index, and 1 are not checked yet.
Mapping the epigenomic and transcriptomic interplay during memory formation and recall in the hippocampal engram ensemble
Open accessAbstract
The epigenome and three-dimensional (3D) genomic architecture are emerging as key factors in the dynamic regulation of different transcriptional programs required for neuronal functions. In this study, we used an activity-dependent tagging system in mice to determine the epigenetic state, 3D genome architecture and transcriptional landscape of engram cells over the lifespan of memory formation and recall. Our findings reveal that memory encoding leads to an epigenetic priming event, marked by increased accessibility of enhancers without the corresponding transcriptional changes. Memory consolidation subsequently results in spatial reorganization of large chromatin segments and promoter-enhancer interactions. Finally, with reactivation, engram neurons use a subset of de novo long-range interactions, where primed enhancers are brought in contact with their respective promoters to upregulate genes involved in local protein translation in synaptic compartments. Collectively, our work elucidates the comprehensive transcriptional and epigenomic landscape across the lifespan of memory formation and recall in the hippocampal engram ensemble.
Overview
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
Verification
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?
In the citing paper
“There is now emerging evidence that the 3D genome is actively regulated during learning and memory formation”
From Neuronal DNA double-strand breaks lead to genome structural variations and 3D genome disruption in neurodegeneration (2023) · cites this paper as [39]
In the citing paper
“The 3D genome plays an important role in neuronal gene expression and function”
From Neuronal DNA double-strand breaks lead to genome structural variations and 3D genome disruption in neurodegeneration (2023) · cites this paper as [39]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400
Robinson, M. D., McCarthy, D. J., & Smyth, G. K. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp616 · Cited by 41,364
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
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
Trapnell, C., Roberts, A., Goff, L. A., Pertea, G. M., Kim, D., Kelley, D. R., Pimentel, H., Salzberg, S. L., Rinn, J. L., & Pachter, L. S. (2012) · Nature Protocols · doi:10.1038/nprot.2012.016 · Cited by 12,145
Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration
Thorvaldsdottir, H., Robinson, J. T., & Mesirov, J. P. (2013) · Briefings in Bioinformatics · doi:10.1093/bib/bbs017 · Cited by 9,049
Comprehensive Mapping of Long-Range Interactions Reveals Folding Principles of the Human Genome
Lieberman-Aiden, E., van Berkum, N. L., Williams, L., Imakaev, M., Ragoczy, T., Telling, A., Amit, I., Lajoie, B. R., Sabo, P. J., Dorschner, M. O., et al. (2009) · Science · doi:10.1126/science.1181369 · Cited by 8,898
A scaling normalization method for differential expression analysis of RNA-seq data
Robinson, M. D., & Oshlack, A. (2010) · Genome Biology · doi:10.1186/gb-2010-11-3-r25 · Cited by 7,876
Buenrostro, J. D., Giresi, P. G., Zaba, L. C., Chang, H. Y., & Greenleaf, W. J. (2013) · Nature Methods · doi:10.1038/nmeth.2688 · Cited by 6,422
Cited by
Sorted by citations
Items 101–159 of 159
Single-cell map of the female brain across reproductive transitionsPreprint
Demarchi, L., Tickerhoof, M. C., Kameshwar, A. K. S., Rocks, D., Ouldibbat, L., Milosevic, A., Suzuki, M., & Kundaković, M. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.03.697507 · Cited by 4
Whole-genome 3D architectural screen reveals modulators of brain DNA structurePreprint
Parasar, B., Venkatesh, A. R., Perera, J., Sosnick, L., Moghadami, S., Seo, Y., Shi, J., Chan, L., Takenawa, S., Akiyama, T., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.04.15.718501 · Cited by 3
Does multi-way, long-range chromatin contact data advance 3D genome reconstruction?
Olshen, A. B., & Segal, M. R. (2023) · BMC Bioinformatics · doi:10.1186/s12859-023-05170-x · Cited by 1
Transcriptional and epigenetic regulation of memory storage
Abel, T. G., Basu, B., & Chatterjee, S. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-15754-7.00076-6 · Cited by 1
Lazar-Contes, I., Arzate‐Mejía, R. G., Tanwar, D. K., Steg, L. C., Uzel, K., Feudjio, O. U., Crespo, M., Germain, P., & Mansuy, I. M. (2025) · eLife · doi:10.7554/elife.91528.3 · Cited by 1
Neuronal Activity Suppresses NEUROD-Dependent Transcription and Genome Organization
Valnegri, P., Yamada, T., & Yang, Y. (2026) · Journal of Neuroscience · doi:10.1523/jneurosci.1565-25.2025 · Cited by 1
A computational framework for epigenetic plasticity in memory
Delamare, G., Wagle, S., Gräff, J., & Clopath, C. (2026) · Brain · doi:10.1093/brain/awag094 · Cited by 1
McLean, T. A. B., Jin, Z., Hategan, L. A., Creighton, S. D., Luo, J., Pirri, F., Dahi, T. A., Neira-Diaz, L., Winston, S. M., Brimble, M. A., et al. (2026) · Neuropsychopharmacology · doi:10.1038/s41386-026-02479-y · Cited by 1
Assessing chromatin relocalization in 3D using the patient rule induction method
Segal, M. R. (2021) · Biostatistics · doi:10.1093/biostatistics/kxab033 · Cited by 1
Mechanisms of enhancer function in neuronal systems in health and disease
Zea-Redondo, L., & Pombo, A. (2022) · Current Opinion in Systems Biology · doi:10.1016/j.coisb.2022.100443 · Cited by 1
Tissue clearing applications in memory engram research
Yip, K. Y. T., & Gräff, J. (2023) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2023.1181818 · Cited by 2
Higher-Order Genome Organization in the Control of Neuronal Identity and Neural Circuit Plasticity
Yamada, T., Valnegri, P., & Yang, Y. (2024) · Springer eBooks · doi:10.1007/978-3-031-68550-7_8 · Cited by 1
Neurobiologia do condicionamento pavloviano e condicionamento operante – Revisão narrativa
Silva, W. D. S. (2024) · Research Society and Development · doi:10.33448/rsd-v13i11.47523 · Cited by 3
Epigenetics of Memory Processes
Pulya, S., & Ghosh, B. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-91909-8.00018-9 · Cited by 1
The gene expression signature of electrical stimulation in the human brainPreprint
Chatterjee, S., Elsadany, M., Vanrobaeys, Y. S., Gleason, A. I., Park, B. J., Heiney, S. A., Rhone, A. E., Nourski, K. V., Basu, B., Mukherjee, U., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.21.558812 · Cited by 1
Lazar-Contes, I., Arzate‐Mejía, R. G., Tanwar, D. K., Steg, L. C., Uzel, K., Feudjio, O. U., Crespo, M., Germain, P., & Mansuy, I. M. (2023) · eLife · doi:10.7554/elife.91528 · Cited by 4
Finding ancestry-specific chromatin architecture in Alzheimer’s diseasePreprint
Xu, W., Wang, L., Lu, L., Liu, X., Rajabli, F., Celis, K., Gearing, M., Bennett, D. A. A., Flanagan, M. E., Weıntraub, S., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.19.671054 · Cited by 1
Self-citationBaker, M. R., Sciortino, R. K., Zarley, C., Scala-Chávez, D., Bergin, P., Rajadhyaksha, A. M., & Tóth, M. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.03.02.708528 · Cited by 1
Grabowska, A. K., Sas‐Nowosielska, H., Holm-Kaczmarek, D., Januszewicz, E., Yushkevich, Y., Czaban, I., Trzaskoma, P., Krawczyk, K., Wojtaś, B., Gielniewski, B., et al. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3802029
Epigenetics of Brain Disorders
Jawaid, A., Kremer, E. A., Carullo, N. V. N., & Mansuy, I. M. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-91909-8.00025-6
Nuclear Architecture in the Nervous System
Ito, K., & Takizawa, T. (2022) · Results and problems in cell differentiation · doi:10.1007/978-3-031-06573-6_15
Rydberg sensors and machine learning assisted design discovery
Trippy, M., Bhalla, A. S., & Guo, R. (2023) · Ferroelectrics · doi:10.1080/00150193.2023.2201783
Chromosomal contacts change with age
Akbarian, S., & Won, H. (2023) · Science · doi:10.1126/science.adk0961
ProA and ProB repeat sequences shape 3D genome organization in eukaryotesPreprint
Bonnet, K., Hulo, N., Mourad, R., Ewing, A. D., Croce, O., Naville, M., Vassetzky, N. S., Gilson, É., Picard, D., & Fourel, G. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.10.27.564043
Figge, D. A., Oliveira, H. D. A., Crim, J., Cowell, R. M., Standaert, D. G., & Jaunarajs, K. L. E. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.11.03.565591
Reprogramación celular y rejuvenecimiento: aplicación en el cerebro senil
Canatelli-Mallat, M. (2023) · El Servicio de Difusión de la Creación Intelectual (National University of La Plata) · doi:10.35537/10915/160047
Lazar-Contes, I., Tanwar, D. K., Arzate‐Mejía, R. G., Steg, L. C., Feudjio, O. U., Crespo, M., Germain, P., & Mansuy, I. M. (2023) · eLife · doi:10.7554/elife.91528.1
Inheritance of Acquired Characters and Cell Structure Function
程, 洪. (2024) · Hans Journal of Biomedicine · doi:10.12677/hjbm.2024.141004 · Cited by 1
Lazar-Contes, I., Arzate‐Mejía, R. G., Tanwar, D. K., Steg, L. C., Uzel, K., Feudjio, O. U., Crespo, M., Germain, P., & Mansuy, I. M. (2024) · eLife · doi:10.7554/elife.91528.2
Chongtham, M. C., Hartwich, D., Todorov, H., Ruffini, N., Weis, E., Linke, M., Schweiger, S., Zechner, U., Gräff, J., Lutz, B., et al. (2024) · Research Square · doi:10.21203/rs.3.rs-4643912/v1
Memory and epigenetics: Influence of sex and estrogens
Beamish, S. B., Tuscher, J. J., & Frick, K. M. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-13825-6.00058-3
Fos/AP-1 as an Exemplar for the Study of Neuronal Activity-Dependent Gene Regulation
Griffith, E. C., & Greenberg, M. E. (2024) · Springer eBooks · doi:10.1007/978-3-031-68550-7_1 · Cited by 2
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
Histone Variants in Neuronal Transcription and Behavioral Regulation
McLean, T. A. B., Walters, B. J., & Zovkic, I. B. (2024) · Springer eBooks · doi:10.1007/978-3-031-68550-7_6
An ATAC-seq protocol for neuroscience research
Prince, N. H., Hamamura, M., Zhou, Y., & Fujita, Y. (2025) · Anatomical Science International · doi:10.1007/s12565-025-00850-5
Sequential transcriptional gates in the thalamo-cortical circuit coordinate memory stabilizationPreprint
Terceros, A. A., Chen, C. Y., Harada, Y., Eilers, T., Gebremedhin, M., Koche, R. P., Hamard, P.-J., Sharma, R., & Rajasethupathy, P. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.28.656415
A brain-inspired projection contrastive learning network for instantaneous learning
Yang, Y. (2025) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2025.111524
Epigenetic inheritance of complex learning abilities in the mammalian brainPreprint
Zidan, S., Andreyanov, M., Saleh, A., Barnea, N., Kundu, S., Kumar, A., Bakman, N., Rosenberg, T., Hovav, M., Johenning, F. W., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.31.673327
Self-citationAging alters the distribution, stability, and transcriptional signature of engram cells
Fuentes-Ramos, M., Paraíso‐Luna, J., Torres-Raves, P., Bustos-Martínez, I., Alaiz-Noya, M., Miozzo, F., Prado, A. V., Fernández‐Albert, J., Leroy, F., Renier, N., et al. (2026) · Nature Communications · doi:10.1101/2025.08.29.673010
Age-dependent effect of environmental enrichment on the neural 3D chromatin interactome
Gancedo-Verdejo, J., Urdinguio, R. G., Tejedor, J. R., Pérez, R. F., Peñarroya, A., Santamarina‐Ojeda, P., Roberti, A., Kefauver, J. M., Álvarez-Díaz, C., Rodríguez-Santamaría, M., et al. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.116182
Vingan, I., Phatarpekar, S., Tung, V. S. K., Hernandez, A. I., Evgrafov, O. V., & Alarcón, J. M. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.22.677884
Waldman, A. J., Pham, K., Titus, K. R., Nikish, A., Liu, C., Ryu, H.-S., Muppidi, S. S., Chandradoss, K. R., Xu, P., Patel, R., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.30.679661
Pola-Véliz, V., Arredondo, S. B., Arancibia, Y., Ahumada, J., Estay, S. F., Vidal, N., Haeger, P. A., Fuenzalida, M., Varela‐Nallar, L., Bustos, F. J., et al. (2026) · Methods · doi:10.1016/j.ymeth.2026.01.004
Menon, A. S., Kumaran, M., Farooq, F., Beji, D. S., Kesireddy, D. K., Sahu, Y., & Venkatesh, I. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.03.12.711224
The Unexplored Role of Noncoding Regulatory RNAs in Engram Dynamics
Nanda, P., & Schratt, G. M. (2026) · The Neuroscientist · doi:10.1177/10738584261425960
Scalable discovery of spatial multicellular patterns via neighborhood-to-sequence transformation
Zhao, F., Wang, S., Wang, Z., Cui, Y., Zhao, Y., & Yuan, Z. (2026) · Communications Biology · doi:10.1038/s42003-026-09923-1
The role of the serum response factor in the pathogenesis of Huntington's disease
Awada, A. (2021) · theses.fr (ABES) · doi:10.70675/fabef4b5z9d78z440bz99f2z9be7d0814a03
Socially regulated genes are spatially hyperconnected to enhancers in the ant brainPreprint
Kuang, M., Antonova, A., Moreno-Medina, S., Doherty, J. K., Sarma, K., Prinz, M., Timmers, H. T. M., Shields, E. J., & Bonasio, R. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.04.08.717219
Zhang, C., Zou, Y., Zhuo, L., Liu, X., Zhong, S., Yin, C., Li, M., Wang, M., Wang, W., Zhou, X., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-71923-w · Cited by 1
On the molecular basis of enduring memory in neurons, and cell fate in fibroblasts
Cook, P. R. (2026) · Nucleic Acids Research · doi:10.1093/nar/gkag337
The impact of 3D chromatin remodeling on cellular senescence and aging
Chen, W., Zhan, Q., Xiao, F., Ju, Z., & Chen, Z. (2025) · Aging Research · doi:10.26599/agr.2025.9340072
Transcriptomic signatures of hippocampal active place avoidance memory maintenance
Vingan, I., Phatarpekar, S., Tung, V. S. K., Hernandez, A. I., Evgrafov, O. V., & Alarcón, J. M. (2026) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2026.1769317
Low-entropy memory as a basis for temporal structures
Valkov, I. (2025) · Neurophysiology · doi:10.1007/s11062-026-10011-7
Single-cell chromatin tracing reveals multimodal molecular programs during memory formationPreprint
Itoh, K., Khalil, V., Faress, I., & Kitazawa, T. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.16.732522
Yang, Y.-M., Li, P., Zhao, L., Zhang, L., Chen, H., Xing, H., Zhu, P.-P., An, J., He, L., Jin, S.-L., et al. (2026) · Cell Reports · doi:10.1016/j.celrep.2026.117797
Neuronal activity-driven 3D chromatin dynamics in cortical pyramidal neurons depend on SATB2
Wahl, N., Ali, M., Espeso‐Gil, S., Dechant, G., & Apostolova, G. (2026) · Nucleic Acids Research · doi:10.1093/nar/gkag788
Multi-omics characterization of chronic social defeat stress recall-activated nuclei in Arc-GFP mice
Chongtham, M. C., Hartwich, D., Todorov, H., Ruffini, N., Weis, E., Linke, M., Schweiger, S., Zechner, U., Gräff, J., Lutz, B., et al. (2026) · Molecular Psychiatry · doi:10.1038/s41380-026-03834-7
Wang, M., Chen, J., 吴中华, Wang, Z., Zhong, Z., & Zhong, Y. (2026) · Biomarker Research · doi:10.1186/s40364-026-01011-0
Heady, L., Fenelon, K. D., Delint‐Ramírez, I., Rueda, R., Segev, A., Morton, K. G., Briseno, S. F., & Madabhushi, R. (2026) · Cell Reports · doi:10.1016/j.celrep.2026.118186
Metadata
- Authors
- 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., & Tsai, L.-H.
- Affiliations
- Massachusetts Institute of Technology (US)
- Boston Children's Hospital (US)
- Broad Institute (US)
- Corresponding author
- Marco, Asaf
- Tsai, Li-Huei
- ORCID
- Venue
- Nature Neuroscience
- Published
- 2020-10-05
- Volume
- 23
- Issue
- 12
- Pages
- 1606-1617
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC7686266
- OpenAlex
- W3090072122
- Cited by
- 159
- References
- 68
- Citations by year
- 2026: 23 · 2025: 31 · 2024: 30 · 2023: 22 · 2022: 32 · 2021: 19 · 2020: 2
- FWCI
- 10.07
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- Funders
- Alzheimer's Association (AARF-19-618751)
- JPB Foundation
- Cure Alzheimer's Fund
- Down Syndrome Research Foundation
- National Institutes of Health (NIH T32, T32 grant)
- National Institute on Aging (R01AG058002, R01AG062335, RF1AG054012, RF1AG062377, R01AG067151)
- National Institute of Mental Health (U01MH119509, R01MH109978)
- National Human Genome Research Institute (R01HG008155, U24HG009446)
- National Institute of Neurological Disorders and Stroke (U01NS110453, R01NS102730, UG3NS115064)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (T32HD098061)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Keywords
- memory formation, memory retrieval, epigenome, 3D genome organization, enhancer accessibility, enhancer-promoter interactions, long-range chromatin interactions, memory consolidation, memory reactivation, transcriptional regulation, mRNA translation
- MeSH terms
- Memory Consolidation, Animals, Brain Mapping, Hippocampus, Memory, Mice, Transgenic, Neurons, Mental Recall, Synapses, Up-Regulation, Mice, Epigenomics, Transcriptome
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