Abstract
During learning and memory, it has been suggested that the coordinated electrical activity of hippocampal neurons translates information about the external environment into internal neuronal representations, which then are stored initially within the hippocampus and subsequently into other areas of the brain. A widely held hypothesis posits that synaptic plasticity is a key feature that critically modulates the triggering and the maintenance of such representations, some of which are thought to persist over time as traces or tags. However, the molecular and cell biological basis for these traces and tags has remained elusive. Here, we review recent findings that help clarify some of the molecular and cellular mechanisms critical for these events, by untangling a two-way signalling crosstalk route between the synapses and the neuronal soma. In particular, a detailed interrogation of the soma-to-synapse delivery of immediate early gene product Arc/Arg3.1, whose induction is triggered by heightened synaptic activity in many brain areas, teases apart an unsuspected ‘inverse’ synaptic tagging mechanism that likely contributes to maintaining the contrast of synaptic weight between strengthened and weak synapses within an active ensemble.
Keywords: calcium, Arc, synaptic tag, CaMKII, CREB, memory trace
1. Input-specificity of late phase plasticity: a fascinating long-term biochemical challenge
Clinical case studies and animal lesion experiments have indicated the critical importance of the hippocampus in associative learning and formation of episodic memory [1]. During learning and memory, it has been suggested that the coordinated electrical activity of hippocampal neurons translates information about the external environment into internal neuronal representations [2]. A widely held hypothesis posits that plasticity at the synaptic level is a key feature that critically modulates such representations of the external environment within a circuit [3]. Thus, ever since long-term potentiation (LTP) [3–5] and long-term depression (LTD) [6–8] were discovered, one of the outstanding questions has been to pin down the cellular or the subcellular location of these plastic changes, and to understand how these events govern the formation of ‘engrams’ (or ensembles of active neurons contributing to the representation of a memory event) within various brain areas [9–11].
While engrams were originally thought to be formed at the cellular level, the discovery of the synaptic origin and the input-specificity of LTP and LTD induction called for a cell biological re-examination of the spatio-temporal dynamics of the initial plastic signal processing. How rapidly induced and sustained is the original plasticity signal? Is this localized to the plastic synapse or does the signal diffuse out? What then is the molecular substrate for the persistence of spine-level input-specific changes following plasticity? How does this relate to the original plasticity signal? What is the relationship between a cellular-level engram and synaptic plasticity?
2. Necessity for a crosstalk between synapses and the neuronal soma: a long-distance, two-way communication at the heart of the persistence of local synaptic changes following plasticity and during memory formation
A large number of past works are in keeping with the idea that once synaptic plasticity is induced, the consolidation and the maintenance of such a new plasticity may involve additional molecular processes that necessitate active mRNA and new protein synthesis at the nucleus and the soma of the cell [9–13]. Indeed, plasticity-inducing synaptic activity was also shown to control the expression of many genes encoding synaptic proteins, ion channels, kinases or immediate early genes (IEGs) [3,13–15]. Some of these have been shown to be important for memory formation [16–18]. Behavioural experiments also suggest the critical role of activity-dependent transcription, new protein synthesis and further translational control in synaptic plasticity and memory [19–24]. Thus, it is likely that the proper regulation of the bidirectional signalling between the synapses and the nucleus is essential for the generation and persistence of memory.
Are the changes induced by synaptic plasticity then somehow rendered persistent through a local, synapse-autonomous mechanism? Or alternatively, are robust and input-specific changes in synaptic efficacy accompanied by input-non-selective new transcription and new protein translation, which then together transform an otherwise transient plasticity into a long-lasting and stable one (figure 1, presence of a ‘many-to-one’-type route between many plastic synapses and one neuronal soma responsible for triggering transcription)? How can a cellwide, synapse-unrestricted, mechanism, such as activity-dependent gene expression or protein synthesis, possibly contribute to preserving input-specificity of the persistence of plastic changes (figure 1, presence of a ‘one-to-many’-type route to account for one soma-driven responses contributing to the input-specific maintenance of plasticity at many synapses)?
Figure 1.
A biochemical framework to account for a late phase of input-specific plasticity that persists beyond the lifetime of a local synaptic input-correlated event (‘tagging’) and requires a cellwide mechanism such as nuclear transcription or new protein synthesis (formation of a ‘memory trace’). Sustainable synaptic tags are created following input-specific plasticity induction in a spine-restricted manner. While this tag is being maintained at the synapses, memory traces are further induced in parallel in the soma, via nuclear transcription and new protein synthesis. Before the lifetime of the tag ceases, the newly induced memory traces are ‘captured’ at or near the stimulated synapses of origin. Provided that there is a molecular signalling mechanism to reliably couple the ‘synapses-to-nucleus’ (many-to-one) pathway with the countergradiented ‘from nucleus-back-to-synapses’ (one-to-many) pathway, the longer protein localization lifetime of the ‘captured traces’ can outlast the relative transience of the synaptic tags. (Online version in colour.)
A hypothesis called ‘synaptic tagging and capture’ has been proposed to provide a tangible framework to understand these ideas [25–28], based on the intriguing observation that a strong plasticity event, through new gene expression and protein synthesis, could render persistent a temporally close weak plasticity event, which otherwise would have remained transient [25,28]. To account for this, it was speculated that a synaptic ‘tag’ which is long-lasting, but not permanent, is created at or near the synapses where synaptic plasticity is also induced. When a strong stimulus (which could be a plasticity-inducing stimulus on its own) is triggered within a limited time window of the original plasticity (such as within 60 min before or after the original plasticity stimulus), this triggers a strong transcriptional and translational response, which is sufficient to result in the subsequent delivery and targeting of new synthesized plasticity-related proteins (PRPs) from the soma towards the synapses where the original plasticity was induced. In this ‘synaptic tagging and capture’ hypothesis, the state of the synaptic tag, via a functional interaction (or ‘capture’) of the PRP, determines the ultimate persistence of the plastic changes [25–28]. However, the molecular basis for such a ‘synaptic tagging and capture’ hypothesis has remained largely elusive to date (figure 1 ‘synaptic capture’ question), although several candidate molecules have already been postulated as either a synaptic tag or a putative PRP [28].
Better understanding of these issues will certainly necessitate intensive investigation of the cell biological signalling crosstalk between many active synapses and the neuronal soma. Untangling such a long-distance, two-way communication route is of critical significance, as this may lie at the heart of the persistence of local synaptic changes following plasticity and during memory formation [25,26,29]. Additionally, however, we should keep in mind, and not underestimate, the formal (and non-mutually exclusive) possibility that a tiny amount of well-positioned molecular alterations in the plastic synapse may still strongly influence perpetuation of an ongoing local change in synaptic efficacy [30–32].
3. Addressing the ‘many-to-one’ question: defining a CaMKK–CaMKIV–CREB–SARE–Arc pathway critical for the late phase-plasticity and long-term memory signalling
Over the past years, many groups have attempted to systematically investigate the molecular basis for the signalling from synapses to the nucleus that accompanies plastic changes at the synapses. Among many gene expression pathways present in neurons, the activation pathway of the transcription factor CREB is arguably one of the most studied activity-dependent synapses-to-nucleus signalling mechanisms [9,11–15,33–35].
Our earlier study thus uncovered an activity-dependent protein kinase cascade CaMKK–CaMKIV that critically controls the amplitude and time course of CREB phosphorylation downstream of synaptic activity (figure 2a) [36–38]. Consistently, α/δ-CREB-null mice [33], CaMKIV-null mice [39] and knockout mice for either CaMKK-α [40,41] or CaMKK–β [42] all showed specific defects in long-term memory. Alternative routes of CREB activation include a cAMP–PKA pathway, and a Ras–MEK–Erk pathway [12,13,34], and the molecular dissection of these differential activation routes within the brain at the circuit level is still eagerly awaited.
Figure 2.
CREB is a unique transducer of long-term memory at the interface of ‘many-to-one’ and ‘one-to-many’ signalling. (a) CREB activation in the soma is rapidly triggered via a CaMKK–CaMKIV cascade, together with the local induction of input-specific synaptic plasticity. (b) An activity-dependent, combinatorial, CREB/MEF2/SRF-mediated transcription factor code triggers induction of a memory trace candidate protein Arc/Arg3.1 via the synaptic activity-responsive element (SARE) within a distal enhancer region of the Arc gene.
A large amount of effort has also been spent on identifying an exhaustive list of all the putative target genes for CREB [43–45]. It remains to be clarified, however, how many of these will be critical for the late phase of long-term plasticity and long-term memory. One likely target molecule is brain-derived neurotrophic factor (BDNF), a secreted peptide growth factor, and the role of CREB in activity-dependent stimulation of several alternative promoters for the gene encoding the neurotrophic factor BDNF has indeed been thoroughly investigated [46]. BDNF's role in synaptic tagging and capture has also been shown [47–49].
Another possible candidate is the IEG Arc/Arg3.1 [50,51], a gene whose expression is widely used as a biological marker to map spatial representation of active neurons in fixed brain samples [52,53], and whose deletion has led to loss of long-term memory in mice [29]. By carefully examining the promoter and the distal regulatory elements critical for activity-dependent neuronal expression, we were indeed able to identify a CRE half-site that functioned as a genuine CREB-regulated locus, within the synaptic activity-responsive element (SARE), a distal enhancer region located at about 7-kb upstream of the Arc's transcription start site [54,55]. Strikingly, the SARE of the Arc gene consisted of a unique cluster of binding sites for CREB, MEF2 and SRF/TCF, each of which cooperatively contributed to converting synaptic inputs into a transcriptional output (figure 2b). Multiplexing SARE and fusing this to the minimal promoter of the Arc gene has enabled us to create a synthetic promoter, which we named enhanced SARE (E-SARE). This artificial promoter was about 30 times more potent than the c-fos promoter and is expected to serve as a useful means to map and record from activity-regulated neurons and circuits in various areas of the brain in vivo [56]. Future studies will reveal whether neurons in which synaptic activity-induced CREB activation and Arc expression are enhanced truly represent part of a functional ensemble of active neurons within a memory circuit, as suggested by the IEG mapping analyses [52,53].
4. Synaptic tagging and inverse synaptic tagging: a putative two-bit tagging code for securing the persistence of an input-specific memory engram?
Despite the excitement about IEG mapping results which were consistent with the idea that Arc may be one of the memory trace proteins critical for memory formation, the molecular function of Arc has remained, however, enigmatic. Indeed, several studies showed that this putative memory trace-coding protein Arc, despite being strongly upregulated by synaptic activity that induced persistent forms of plasticity and learning [15,52,53], also critically contributed to weakening synapses by promoting AMPA receptor endocytosis during various forms of synaptic plasticity [18,57–59].
To address this incongruence, we directly imaged plasticity-induced Arc trafficking from the soma to the dendrites and back to the synapses [60]. Contrary to expectations that Arc may be recruited into the potentiated synapses through an orthodox synaptic tagging and capture mechanism, we instead found a preferred targeting of Arc to inactive synapses (figure 3). This unexpected result was mediated via Arc's high affinity interaction with an inactive, CaM-unbound form of Ca2+/calmodulin-dependent protein kinase (CaMK)IIβ [60]. Consistently, the degree of synaptic Arc accumulation was more sustained during a period of inactivity following strong induction, and in fact correlated with removal of surface GluA1 from individual synapses. A lack of CaMKIIβ either in vitro or in vivo resulted in loss of Arc upregulation in the silenced synapses [60]. These findings provide compelling molecular evidence for an ‘inverse’ synaptic tagging mechanism that enables Arc to specifically target the unpotentiated synapses that contains more inactive CaMKIIβ. Arc targeting to inactive synapses will promote the clearance of surface AMPA receptors at the inactive synapses, and thereby help maintain the contrast of synaptic weight between strengthened and weak synapses (figure 3) [60,61]. At the circuit and systems levels, this may subserve memory consolidation by preventing undesired synaptic enhancement at weak synapses, while sparing potentiated synapses.
Figure 3.
Synaptic tagging and inverse synaptic tagging: a putative two-bit tagging code for securing the persistence of an input-specific memory engram. Recent findings collectively suggest two modes of tagging synapses as a function of synaptic input during induction of LTP. The process of synaptic tagging involves modification of the spine context within which LTP has been induced (red tag: red, 1; green, 0 state). The capture of a memory trace (blue circle) to the vicinity of the tags, either by physical or functional interaction, will ensure that the strengthening of the LTP synapses will persist over time even after the lifetime of the tags has elapsed. In parallel to this, the process of inverse synaptic tagging involves an inverse tag (green tag: red, 0; green, 1 state) that will be present only in the non-potentiated synapses, likely in the neighbourhood of LTP synapses, and which will capture/interact with a memory trace (yellow triangle). Compared with the basal state (no tags: red, 0; green, 0 state), the sustained lack of plasticity, hence the maintenance of an inverse tag, in the spines adjacent to the LTP synapses, will ensure that the weakened state (red, 0; green, 1 state) or the lack of potentiation will persist in those weak synapses through the action of an inverse tag-compliant memory trace (yellow triangle). Arc fulfils the role of a memory trace protein that interacts with CaM-unbound CaMKIIβ acting as an inverse tag (green). Although more experiments are needed to test this, we hypothesize that red tags and green tags may transiently coexist in the same spines in an unstable and neutral state (both tags: red, 1; green, 1 state), when activated synapses slowly become inactive, or when inactive synapses become suddenly activated. The parallel onset of synaptic tagging and inverse synaptic tagging may thus provide a two-bit tagging code (red for tagging and green for inverse tagging) for securing the persistence of an input-specific memory engram, and facilitate the maintenance of a strong-to-weak contrast of synaptic weights within active neurons.
For inactive CaMKIIβ to be able to fulfil the role of an inverse synaptic tag vis à vis of induced Arc protein, any synaptic activity that is below the threshold of LTP induction should in principle do little to perturb CaMKII inactivity. Directly addressing this question has become possible very recently, through novel techniques that enable direct measurement of enzymatic activities in situ. Using fluorescence resonance energy transfer (FRET) imaging and fluorescence lifetime microscopy measurements, direct measurements of the enzymatic activity of CaMKIIα with single spine resolution demonstrated [62,63] and confirmed some earlier suggestions [64] that the activation kinetics of CaMKIIα, a critical molecular switch involved in the induction of LTP [4,5,65,66], was very fast (within seconds) and input-specific (figure 4 top panels). Inconsistent with some predictions [30, see also 67], however, the deactivation of CaMKIIα after cessation of LTP induction was also fast, within a minute (figure 4) [62,63]. The same conditions of stimuli that triggered sustained morphological plasticity in a high-frequency- and input-dependent manner also triggered activation of CaMKIIα, but the former far outlasted the latter [63]. Thus, CaMKIIα genuinely functioned as a synaptic sensor for high-frequency input (figure 4 top panels), and was an enzyme that decodes both input frequency and numbers [63], but its activity was short-lived and did not appear to encode the plasticity induction per se. As an independent control for an alternative synaptic Ca2+ effector, calcineurin was shown to be activated at a much lower frequency and input numbers than CaMKIIα (figure 4 lower panels) [63]. While direct measurements of CaMKIIβ are eagerly awaited as a next step, this recent evidence lends support to the idea that CaMKII activation may indeed gate the role of Arc in inverse synaptic tagging. A role for CaMKII has also been suggested in the original synaptic tagging [27,28].
Figure 4.
Dual FRET-based direct measurements of CaMKIIα and calcineurin at synapses following plasticity-inducing stimuli (modified with permission from [63]). Demonstration of input-specific, single spine-restricted, transient activation of CaMKIIα and calcineurin following plasticity-inducing stimuli using dual FRET with optical manipulation (dFOMA) imaging techniques. Top panels: CaMKIIα activity (calculated as normalized FRET ratio of the RS-K2α probe) recorded following 5 Hz (left) or 20 Hz stimuli (right); bottom panels, calcineurin activity (calculated as normalized FRET ratio of the RY-CaN probe) recorded following 5 Hz (left) or 20 Hz MNI-glutamate uncaging (GU) stimuli (right). Utmost right graphs show amplitude comparisons between 5 and 20 Hz stimuli.
Evidently, much work lies ahead to definitively establish the mechanisms and physiological significance of synaptic tagging [68] and inverse synaptic tagging [60]. Perhaps, simultaneous onset of both tagging mechanisms, in conjunction with the induction of LTP per se, may permit synapses to gain the ability to use a robust, two-bit tagging code for securing the persistence of an input-specific memory engram (figure 3). Further investigation on both synaptic tagging and inverse synaptic tagging will undoubtedly shed more light on the fundamental role of new gene expression and of the guided targeting of new protein products to synapses as a molecular basis for memory allocation within an activated neuronal network [69].
Acknowledgements
We are grateful to Stuart Sharry for critical comments. We apologize to the many authors whom we could not cite due to space limitations.
Funding statement
This work was supported in part by grants-in-aid from the Ministry of Education, Culture, Sports, Science and Technology of Japan and the Japan Society for Promotion of Science (M.N., H.O. and H.B.), awards from the Takeda Foundation (H.B.) and the Tokyo Society of Medical Sciences (H.F. and H.O.), a SICPMe JST-CONACyT collaborative grant (H.O. and H.B.) and a CREST investigatorship (H.B.).
References
- 1.Morris RG. 2006. Elements of a neurobiological theory of hippocampal function: the role of synaptic plasticity, synaptic tagging and schemas. Eur. J. Neurosci. 23, 2829–2846. ( 10.1111/j.1460-9568.2006.04888.x) [DOI] [PubMed] [Google Scholar]
- 2.Abbott A. 2013. Neuroscience: solving the brain. Nature 499, 272–274. ( 10.1038/499272a) [DOI] [PubMed] [Google Scholar]
- 3.Bliss TV, Collingridge GL. 1993. A synaptic model of memory: long-term potentiation in the hippocampus. Nature 361, 31–39. ( 10.1038/361031a0) [DOI] [PubMed] [Google Scholar]
- 4.Malenka RC, Nicoll RA. 1999. Long-term potentiation: a decade of progress? Science. 285, 1870–1874. ( 10.1126/science.285.5435.1870) [DOI] [PubMed] [Google Scholar]
- 5.Bliss TV, Collingridge GL. 2013. Expression of NMDA receptor-dependent LTP in the hippocampus: bridging the divide. Mol. Brain 6, 5 ( 10.1186/1756-6606-6-5) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Bear MF, Abraham WC. 1996. Long-term depression in hippocampus. Annu. Rev. Neurosci. 19, 437–462. ( 10.1146/annurev.ne.19.030196.002253) [DOI] [PubMed] [Google Scholar]
- 7.Malenka RC, Bear MF. 2004. LTP and LTD: an embarrassment of riches. Neuron 44, 5–21. ( 10.1016/j.neuron.2004.09.012) [DOI] [PubMed] [Google Scholar]
- 8.Collingridge GL, Peineau S, Howland JG, Wang YT. 2010. Long-term depression in the CNS. Nat. Rev. Neurosci. 11, 459–473. ( 10.1038/nrn2867) [DOI] [PubMed] [Google Scholar]
- 9.Kandel ER. 2001. The molecular biology of memory storage: a dialogue between genes and synapses. Science 294, 1030–1038. ( 10.1126/science.1067020) [DOI] [PubMed] [Google Scholar]
- 10.Klann E, Sweatt JD. 2008. Altered protein synthesis is a trigger for long-term memory formation. Neurobiol. Learn. Mem. 89, 247–259. ( 10.1016/j.nlm.2007.08.009) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Josselyn SA. 2010. Continuing the search for the engram: examining the mechanism of fear memories. J. Psychiatry Neurosci. 35, 221–228. ( 10.1503/jpn.100015) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Silva AJ, Kogan JH, Frankland PW, Kida S. 1998. CREB and memory. Annu. Rev. Neurosci. 21, 127–148. ( 10.1146/annurev.neuro.21.1.127) [DOI] [PubMed] [Google Scholar]
- 13.Bito H, Deisseroth K, Tsien RW. 1997. Ca2+-dependent regulation in neuronal gene expression. Curr. Opin. Neurobiol. 7, 419–429. ( 10.1016/S0959-4388(97)80072-4) [DOI] [PubMed] [Google Scholar]
- 14.Morgan JI, Curran T. 1989. Stimulus-transcription coupling in neurons: role of cellular immediate-early genes. Trends Neurosci. 12, 459–462. ( 10.1016/0166-2236(89)90096-9) [DOI] [PubMed] [Google Scholar]
- 15.Okuno H. 2011. Regulation and function of immediate-early genes in the brain: beyond neuronal activity markers. Neurosci. Res. 69, 175–186. ( 10.1016/j.neures.2010.12.007) [DOI] [PubMed] [Google Scholar]
- 16.Silva AJ, Paylor R, Wehner JM, Tonegawa S. 1992. Impaired spatial learning in alpha-calcium-calmodulin kinase II mutant mice. Science 257, 206–211. ( 10.1126/science.1321493) [DOI] [PubMed] [Google Scholar]
- 17.Paylor R, Johnson RS, Papaioannou V, Spiegelman BM, Wehner JM. 1994. Behavioral assessment of c-fos mutant mice. Brain Res. 651, 275–282. ( 10.1016/0006-8993(94)90707-2) [DOI] [PubMed] [Google Scholar]
- 18.Plath N, et al. 2006. Arc/Arg3.1 is essential for the consolidation of synaptic plasticity and memories. Neuron 52, 437–444. ( 10.1016/j.neuron.2006.08.024) [DOI] [PubMed] [Google Scholar]
- 19.Davis HP, Squire LR. 1984. Protein synthesis and memory: a review. Psychol. Bull. 96, 518–559. ( 10.1037/0033-2909.96.3.518) [DOI] [PubMed] [Google Scholar]
- 20.DeZazzo J, Tully T. 1995. Dissection of memory formation: from behavioral pharmacology to molecular genetics. Trends Neurosci. 18, 212–218. ( 10.1016/0166-2236(95)93905-D) [DOI] [PubMed] [Google Scholar]
- 21.Mayford M, Abel T, Kandel ER. 1995. Transgenic approaches to cognition. Curr. Opin. Neurobiol. 5, 141–148. ( 10.1016/0959-4388(95)80019-0) [DOI] [PubMed] [Google Scholar]
- 22.Wang SH, Redondo RL, Morris RG. 2010. Relevance of synaptic tagging and capture to the persistence of long-term potentiation and everyday spatial memory. Proc. Natl Acad. Sci. USA 107, 19 537–19 542. ( 10.1073/pnas.1008638107) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Costa-Mattioli M, Sossin WS, Klann E, Sonenberg N. 2009. Translational control of long-lasting synaptic plasticity and memory. Neuron 61, 10–26. ( 10.1016/j.neuron.2008.10.055) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Gal-Ben-Ari S, et al. 2012. Consolidation and translation regulation. Learn. Mem. 19, 410–422. ( 10.1101/lm.026849.112) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Frey U, Morris RG. 1997. Synaptic tagging and long-term potentiation. Nature 385, 533–536. ( 10.1038/385533a0) [DOI] [PubMed] [Google Scholar]
- 26.Martin KC, Kosik KS. 2002. Synaptic tagging: who's it? Nat. Rev. Neurosci. 3, 813–820. ( 10.1038/nrn942) [DOI] [PubMed] [Google Scholar]
- 27.Redondo RL, Okuno H, Spooner PA, Frenguelli BG, Bito H, Morris RG. 2010. Synaptic tagging and capture: differential role of distinct calcium/calmodulin kinases in protein synthesis-dependent long-term potentiation. J. Neurosci. 30, 4981–4989. ( 10.1523/JNEUROSCI.3140-09.2010) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Redondo RL, Morris RG. 2011. Making memories last: the synaptic tagging and capture hypothesis. Nat. Rev. Neurosci. 12, 17–30. ( 10.1038/nrn2963) [DOI] [PubMed] [Google Scholar]
- 29.Bito H. 1998. The role of calcium in activity-dependent neuronal gene regulation. Cell Calcium 23, 143–150. ( 10.1016/S0143-4160(98)90113-0) [DOI] [PubMed] [Google Scholar]
- 30.Lisman J, Yasuda R, Raghavachari S. 2012. Mechanisms of CaMKII action in long-term potentiation. Nat. Rev. Neurosci. 13, 169–182. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Sacktor TC. 2012. Memory maintenance by PKMζ: an evolutionary perspective. Mol. Brain 5, 31 ( 10.1186/1756-6606-5-31) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Bailey CH, Kandel ER, Si K. 2004. The persistence of long-term memory: a molecular approach to self-sustaining changes in learning-induced synaptic growth. Neuron 44, 49–57. ( 10.1016/j.neuron.2004.09.017) [DOI] [PubMed] [Google Scholar]
- 33.Bourtchuladze R, Frenguelli B, Blendy J, Cioffi D, Schutz G, Silva AJ. 1994. Deficient long-term memory in mice with a targeted mutation of the cAMP-responsive element-binding protein. Cell 79, 59–68. ( 10.1016/0092-8674(94)90400-6) [DOI] [PubMed] [Google Scholar]
- 34.Flavell SW, Greenberg ME. 2008. Signaling mechanisms linking neuronal activity to gene expression and plasticity of the nervous system. Annu. Rev. Neurosci. 31, 563–590. ( 10.1146/annurev.neuro.31.060407.125631) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Nonaka M. 2009. A Janus-like role of CREB protein: enhancement of synaptic property in mature neurons and suppression of synaptogenesis and reduced network synchrony in early development. J. Neurosci. 29, 6389–6391. ( 10.1523/JNEUROSCI.1309-09.2009) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Bito H, Deisseroth K, Tsien RW. 1996. CREB phosphorylation and dephosphorylation: a Ca2+- and stimulus duration-dependent switch for hippocampal gene expression. Cell 87, 1203–1214. ( 10.1016/S0092-8674(00)81816-4) [DOI] [PubMed] [Google Scholar]
- 37.Deisseroth K, Bito H, Tsien RW. 1996. Signaling from synapse to nucleus: postsynaptic CREB phosphorylation during multiple forms of hippocampal synaptic plasticity. Neuron 16, 89–101. ( 10.1016/S0896-6273(00)80026-4) [DOI] [PubMed] [Google Scholar]
- 38.Mermelstein PG, Bito H, Deisseroth K, Tsien RW. 2000. Critical dependence of cAMP response element-binding protein phosphorylation on L-type calcium channels supports a selective response to EPSPs in preference to action potentials. J. Neurosci. 20, 266–273. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Wei F, Qiu CS, Liauw J, Robinson DA, Ho N, Chatila T, Zhuo M. 2002. Calcium calmodulin-dependent protein kinase IV is required for fear memory. Nat. Neurosci. 5, 573–579. ( 10.1038/nn0602-855) [DOI] [PubMed] [Google Scholar]
- 40.Mizuno K, Ris L, Sánchez-Capelo A, Godaux E, Giese KP. 2006. Ca2+/calmodulin kinase kinase alpha is dispensable for brain development but is required for distinct memories in male, though not in female, mice. Mol. Cell. Biol. 26, 9094–9104. ( 10.1128/MCB.01221-06) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Blaeser F, Sanders MJ, Truong N, Ko S, Wu LJ, Wozniak DF, Fanselow MS, Zhuo M, Chatila TA. 2006. Long-term memory deficits in Pavlovian fear conditioning in Ca2+/calmodulin kinase kinase alpha-deficient mice. Mol. Cell. Biol. 26, 9105–9115. ( 10.1128/MCB.01452-06) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Peters M, Mizuno K, Ris L, Angelo M, Godaux E, Giese KP. 2003. Loss of Ca2+/calmodulin kinase kinase beta affects the formation of some, but not all, types of hippocampus-dependent long-term memory. J. Neurosci. 23, 9752–9760. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Impey S, et al. 2004. Defining the CREB regulon: a genome-wide analysis of transcription factor regulatory regions. Cell 119, 1041–1054. [DOI] [PubMed] [Google Scholar]
- 44.Zhang X, et al. 2005. Genome-wide analysis of cAMP-response element binding protein occupancy, phosphorylation, and target gene activation in human tissues. Proc. Natl Acad. Sci. USA 102, 4459–4464. ( 10.1073/pnas.0501076102) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Benito E, Valor LM, Jimenez-Minchan M, Huber W, Barco A. 2011. cAMP response element-binding protein is a primary hub of activity-driven neuronal gene expression. J. Neurosci. 31, 18 237–18 250. ( 10.1523/jneurosci.4554-11.2011) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Greenberg ME. 2006–2007. Signaling networks that control synapse development and cognitive function. Harvey Lect. 102, 73–102. [DOI] [PubMed] [Google Scholar]
- 47.Barco A, Patterson SL, Alarcon JM, Gromova P, Mata-Roig M, Morozov A, Kandel ER. 2005. Gene expression profiling of facilitated L-LTP in VP16-CREB mice reveals that BDNF is critical for the maintenance of LTP and its synaptic capture. Neuron 48, 123–137. ( 10.1016/j.neuron.2005.09.005) [DOI] [PubMed] [Google Scholar]
- 48.Lu Y, Ji Y, Ganesan S, Schloesser R, Martinowich K, Sun M, Mei F, Chao MV, Lu B. 2011. TrkB as a potential synaptic and behavioral tag. J. Neurosci. 31, 11762–11771. ( 10.1523/JNEUROSCI.2707-11.2011) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Panja D, Bramham CR. In press. BDNF mechanisms in late LTP formation: a synthesis and breakdown. Neuropharmacology. ( 10.1016/j.neuropharm.2013.06.024) [DOI] [PubMed] [Google Scholar]
- 50.Lyford GL, et al. 1995. Arc, a growth factor and activity-regulated gene, encodes a novel cytoskeleton-associated protein that is enriched in neuronal dendrites. Neuron 14, 433–445. ( 10.1016/0896-6273(95)90299-6) [DOI] [PubMed] [Google Scholar]
- 51.Link W, Konietzko U, Kauselmann G, Krug M, Schwanke B, Frey U, Kuhl D. 1995. Somatodendritic expression of an immediate early gene is regulated by synaptic activity. Proc. Natl Acad. Sci. USA 92, 5734–5738. ( 10.1073/pnas.92.12.5734) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Guzowski JF, McNaughton BL, Barnes CA, Worley PF. 1999. Environment-specific expression of the immediate-early gene Arc in hippocampal neuronal ensembles. Nat. Neurosci. 2, 1120–1124. ( 10.1038/16046) [DOI] [PubMed] [Google Scholar]
- 53.Ramirez-Amaya V, Vazdarjanova A, Mikhael D, Rosi S, Worley PF, Barnes CA. 2005. Spatial exploration-induced Arc mRNA and protein expression: evidence for selective, network-specific reactivation. J. Neurosci. 25, 1761–1768. ( 10.1523/jneurosci.4342-04.2005) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Kawashima T, Okuno H, Nonaka M, Adachi-Morishima A, Kyo N, Okamura M, Takemoto-Kimura S, Worley PF, Bito H. 2009. Synaptic activity-responsive element in the Arc/Arg3.1 promoter essential for synapse-to-nucleus signaling in activated neurons. Proc. Natl Acad. Sci. USA 106, 316–321. ( 10.1073/pnas.0806518106) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Inoue M, Yagishita-Kyo N, Nonaka M, Kawashima T, Okuno H, Bito H. 2010. Synaptic activity responsive element (SARE): a unique genomic structure with an unusual sensitivity to neuronal activity. Commun. Integr. Biol. 3, 443–446. ( 10.4161/cib.3.5.12287) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Kawashima T, et al. 2013. Functional labeling of neurons and their projections using the synthetic activity-dependent promoter E-SARE. Nat. Methods 10, 889–895. ( 10.1038/nmeth.2559) [DOI] [PubMed] [Google Scholar]
- 57.Chowdhury S, Shepherd JD, Okuno H, Lyford G, Petralia RS, Plath N, Kuhl D, Huganir RL, Worley PF. 2006. Arc/Arg3.1 interacts with the endocytic machinery to regulate AMPA receptor trafficking. Neuron 52, 445–459. ( 10.1016/j.neuron.2006.08.033) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Shepherd JD, Rumbaugh G, Wu J, Chowdhury S, Plath N, Kuhl D, Huganir RL, Worley PF. 2006. Arc/Arg3.1 mediates homeostatic synaptic scaling of AMPA receptors. Neuron 52, 475–484. ( 10.1016/j.neuron.2006.08.034) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Rial Verde EM, Lee-Osbourne J, Worley PF, Malinow R, Cline HT. 2006. Increased expression of the immediate-early gene arc/arg3.1 reduces AMPA receptor-mediated synaptic transmission. Neuron 52, 461–474. ( 10.1016/j.neuron.2006.09.031) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Okuno H, et al. 2012. An inverse synaptic tagging of inactive synapses via dynamic interaction of Arc/Arg3.1 with CaMKIIβ. Cell 149, 886–898. ( 10.1016/j.cell.2012.02.062) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Kim R, Okuno H, Bito H. 2012. Deciphering the molecular rules governing synaptic targeting of the memory-related protein Arc. Commun. Integr. Biol. 5, 496–498. ( 10.4161/cib.20853) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Lee SJ, Escobedo-Lozoya Y, Szatmari EM, Yasuda R. 2009. Activation of CaMKII in single dendritic spines during long-term potentiation. Nature 458, 299–304. ( 10.1038/nature07842) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Fujii H, Inoue M, Okuno H, Sano Y, Takemoto-Kimura S, Kitamura K, Kano M, Bito H. 2013. Nonlinear decoding and asymmetric representation of neuronal input information by CaMKIIα and calcineurin. Cell Rep. 3, 978–987. ( 10.1016/j.celrep.2013.03.033) [DOI] [PubMed] [Google Scholar]
- 64.Lengyel I, Voss K, Cammarota M, Bradshaw K, Brent V, Murphy KP, Giese KP, Rostas JA, Bliss TV. 2004. Autonomous activity of CaMKII is only transiently increased following the induction of long-term potentiation in the rat hippocampus. Eur. J. Neurosci. 20, 3063–3072. ( 10.1111/j.1460-9568.2004.03748.x) [DOI] [PubMed] [Google Scholar]
- 65.Malinow R. 2003. AMPA receptor trafficking and long-term potentiation. Phil. Trans. R. Soc. Lond. B 358, 707–714. ( 10.1098/rstb.2002.1233) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Deisseroth K, Bito H, Schulman H, Tsien RW. 1995. Synaptic plasticity: a molecular mechanism for metaplasticity. Curr. Biol. 5, 1334–1338. ( 10.1016/S0960-9822(95)00262-4) [DOI] [PubMed] [Google Scholar]
- 67.Coultrap SJ, Bayer KU. 2012. CaMKII regulation in information processing and storage. Trends Neurosci. 35, 607–618. ( 10.1016/j.tins.2012.05.003) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Okada D, Ozawa F, Inokuchi K. 2009. Input-specific spine entry of soma-derived Vesl-1S protein conforms to synaptic tagging. Science 324, 904–909. ( 10.1126/science.1171498) [DOI] [PubMed] [Google Scholar]
- 69.Silva AJ, Zhou Y, Rogerson T, Shobe J, Balaji J. 2009. Molecular and cellular approaches to memory allocation in neural circuits. Science 326, 391–395. ( 10.1126/science.1174519) [DOI] [PMC free article] [PubMed] [Google Scholar]