CREB as a Memory Modulator: induced expression of a dCREB2 activator isoform enhances long-term memory in drosophila

Yin, Jingyi; Vecchio, Maria Del; Zhou, Hong; Tully, Timothy

doi:10.1016/0092-8674(95)90375-5

Cited by 595 publications

(460 citation statements)

References 51 publications

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“…Non-monotonic dependence of transcription rate upon stimulus frequency with kinetic parameters consistent with the hypothesis of Yin et al (1995). Top curve, a maximum in transcription rate occurs when dimeric TF-R is assumed to repress transcription.…”

Section: 5supporting

confidence: 58%

“…Optimal stimulus frequencies appear also to exist for some task learning by humans (Kientzle, 1946). Based on the result of Tully et al (1994), Yin et al (1995) hypothesized that the optimal stimulus frequency might predominantly phosphorylate a TF that activates transcription of a gene essential for LTM formation, with a countervailing transcriptional repressor being phosphorylated at stimulus frequencies above optimal.…”

Section: 5mentioning

confidence: 99%

“…The hypothesis of Yin et al (1995) for generation of maximal transcription at a particular stimulus frequency could be realized in genetic networks regulated by the CREB family of proteins if a repressor, such as CREB2, was phosphorylated at a somewhat higher frequency than an activator, such as CREB. However, recent data, obtained in Aplysia, actually suggests that phosphorylation of the repressor CREB2 reduces its repressing activity (Martin et al, 1997).…”

Section: 1mentioning

confidence: 99%

See 2 more Smart Citations

Modeling Transcriptional Control in Gene Networks—Methods, Recent Results, and Future Directions

Smolen

Baxter

Byrne

2000

Bulletin of Mathematical Biology

279

161

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Mathematical models are useful for providing a framework for integrating data and gaining insights into the static and dynamic behavior of complex biological systems such as networks of interacting genes. We review the dynamic behaviors expected from model gene networks incorporating common biochemical motifs, and we compare current methods for modeling genetic networks. A common modeling technique, based on simply modeling genes as ON-OFF switches, is readily implemented and allows rapid numerical simulations. However, this method may predict dynamic solutions that do not correspond to those seen when systems are modeled with a more detailed method using ordinary differential equations. Until now, the majority of gene network modeling studies have focused on determining the types of dynamics that can be generated by common biochemical motifs such as feedback loops or protein oligomerization. For example, these elements can generate multiple stable states for gene product concentrations, state-dependent responses to stimuli, circadian rhythms and other oscillations, and optimal stimulus frequencies for maximal transcription. In the future, as new experimental techniques increase the ease of characterization of genetic networks, qualitative modeling will need to be supplanted by quantitative models for specific systems.

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Section: 5supporting

confidence: 58%

Section: 5mentioning

confidence: 99%

Section: 1mentioning

confidence: 99%

See 1 more Smart Citation

Modeling Transcriptional Control in Gene Networks—Methods, Recent Results, and Future Directions

Smolen

Baxter

Byrne

2000

Bulletin of Mathematical Biology

279

161

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“…It is usually formed by multiple pairing trials but not by a single trial. It has been demonstrated that the cAMP signaling system plays critical roles in producing LTM, or long-term synaptic plasticity considered to underlie LTM formation, in mammals [1], insects [6,19] and mollusks [2]. In all of these animals, production of cAMP stimulates PKA, and this activates the transcription factor CREB (cAMP element-binding protein).…”

mentioning

confidence: 99%

Stimulation of the cAMP system by the nitric oxide-cGMP system underlying the formation of long-term memory in an insect

Matsumoto¹,

Hatano²,

Unoki³

et al. 2009

Neuroscience Letters

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The nitric oxide (NO)-cGMP signaling system and cAMP system play critical roles in formation of multiple-trial induced, protein synthesis-dependent long-term memory (LTM) in many vertebrates and invertebrates. The relationship between the NO-cGMP system and cAMP system, however, remains controversial. In honey bees, the two systems have been suggested to converge on protein kinase A (PKA), based on the finding in vitro that cGMP activates PKA when sub-optimal dose of cAMP is present. In crickets, however, we have suggested that NO-cGMP pathway operates on PKA via activation of adenylyl cyclase and production of cAMP for LTM formation. To resolve this issue, we compared the effect of multiple-trial conditioning against the effect of an externally applied cGMP analog for LTM formation in crickets, in the presence of sub-optimal dose of cAMP analog and in condition in which adenylyl cyclase was inhibited. The obtained results suggest that an externally applied cGMP analog activates PKA when sub-optimal dose of cAMP analog is present, as is suggested in honey bees, but cGMP produced by multiple-trial conditioning cannot activate PKA even when sub-optimal dose of cAMP analog is present, thus indicating that cGMP produced by multiple-trial conditioning is not accessible to PKA. We conclude that the NO-cGMP system stimulates the cAMP system for LTM formation. We propose that LTM is formed by an interplay of two classes of neurons, namely, NO-producing neurons regulating LTM formation and NO-receptive neurons that are more directly involved in formation of long-term synaptic plasticity underlying LTM formation.3 Main textRecent studies have suggested that many of the molecular mechanisms underlying learning and memory are conserved among vertebrates and invertebrates, the most convincing evidence for which has been obtained by the study of the mechanisms of the formation of LTM [7]. LTM is defined as a protein synthesis-dependent phase of memory lasting for day to a lifetime. It is usually formed by multiple pairing trials but not by a single trial. It has been demonstrated that the cAMP signaling system plays critical roles in producing LTM, or long-term synaptic plasticity considered to underlie LTM formation, in mammals [1], insects [6,19] and mollusks [2]. In all of these animals, production of cAMP stimulates PKA, and this activates the transcription factor CREB (cAMP element-binding protein). Activation of CREB leads to a protein synthesis-dependent long-term synaptic plasticity that underlies LTM formation [7,20].The NO-cGMP system also plays critical roles in the formation of LTM in mammals [9], honey bees [15,16], crickets [14] and mollusks [8]. NO is a membrane-permeable intercellular signaling molecule produced by NO synthase (NOS).NO diffuses into neighboring cells and stimulates soluble guanylyl cyclase, and produced cGMP plays various physiological roles [5], including induction of LTM in many animals.In crickets, we have reported that the NO-cGMP system and cAMP system play major roles in formatio...

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“…In addition, several Drosophila learning and memory mutants have been traced to defects in cAMP signaling (Livingstone et al 1984;Chen et al 1986), and the induction of a dominant negative CREB in Drosophila blocks long-term memory (LTM) (Yin et al 1994). Moreover, the expression of an activator isoform of CREB, dCREB2, enhances memory formation (Yin et al 1995).…”

mentioning

confidence: 99%

Synaptic concentration of type‐I adenylyl cyclase in cerebellar neurons

Wang

Chan

Athos

et al. 2002

Journal of Neurochemistry

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Specific subcellular targeting and spatial arrangement of signaling molecules are important for efficient signal transduction. The neuro-specific type-I adenylyl cyclase (AC1) is stimulated by Ca 2+ , and plays an essential role in neurodevelopment and neuroplasticity. We generated hemagglutinin (HA)-tagged AC1 to study its subcellular localization in cultured neurons. The HA-tagged AC1 has similar enzymatic activity and regulatory properties to that of non-tagged protein. HA-AC1 targeted to both apical and basolateral domains in the epithelial Madin-Darby canine kidney (MDCK) cells, and it was found in both axons and dendrites in cultured hippocampal neurons as well as in cerebellar granule neurons. Interestingly, AC1 showed a distinct punctate form of immunostaining in MDCK cells and transfected neurons, suggesting it targets to specific subcellular domains. By immunostaining with different synaptic markers, we found that AC1 puncta were located at the excitatory synapses in cerebellar granule neurons. Our data provide a possible cellular mechanism for the physiological role of AC1 in neuroplasticity.

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CREB as a Memory Modulator: induced expression of a dCREB2 activator isoform enhances long-term memory in drosophila

Cited by 595 publications

References 51 publications

Modeling Transcriptional Control in Gene Networks—Methods, Recent Results, and Future Directions

Modeling Transcriptional Control in Gene Networks—Methods, Recent Results, and Future Directions

Stimulation of the cAMP system by the nitric oxide-cGMP system underlying the formation of long-term memory in an insect

Synaptic concentration of type‐I adenylyl cyclase in cerebellar neurons

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