ArticlePloS one2014
Transcription control pathways decode patterned synaptic inputs into diverse mRNA expression profiles.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 7 citations in OpenAlex.
- Long-term dynamic profiles of cognitive kinases induced by different learning protocols.bioRxiv : the preprint server for biology · 2025Article
- Temporal pattern and synergy influence activity of ERK signaling pathways during L-LTP induction.eLife · 2021Article
- The road to ERK activation: Do neurons take alternate routes?Cellular signalling · 2020Review
- β-adrenergic signaling broadly contributes to LTP induction.PLoS computational biology · 2017Article
- Asynchronous τ-leaping.The Journal of chemical physics · 2016Article
- Differential expression and clinical significance of glioblastoma mRNA expression profiles in Uyghur and Han patients in Xinjiang province.Medical science monitor : international medical journal of experimental and clinical research · 2014Article
- Long-term dynamic profiles of cognitive kinases induced by different learning protocols.Learning & memory (Cold Spring Harbor, N.Y.)Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Synaptic plasticity requires transcription and translation to establish long-term changes that form the basis for long term memory. Diverse stimuli, such as synaptic activity and growth factors, trigger synthesis of mRNA to regulate changes at the synapse. The palette of possible mRNAs is vast, and a key question is how the cell selects which mRNAs to synthesize. To address this molecular decision-making, we have developed a biochemically detailed model of synaptic-activity triggered mRNA synthesis. We find that there are distinct time-courses and amplitudes of different branches of the mRNA regulatory signaling pathways, which carry out pattern-selective combinatorial decoding of stimulus patterns into distinct mRNA subtypes. Distinct, simultaneously arriving input patterns that impinge on the transcriptional control network interact nonlinearly to generate novel mRNA combinations. Our model combines major regulatory pathways and their interactions connecting synaptic input to mRNA synthesis. We parameterized and validated the model by incorporating data from multiple published experiments. The model replicates outcomes of knockout experiments. We suggest that the pattern-selectivity mechanisms analyzed in this model may act in many cell types to confer the capability to decode temporal patterns into combinatorial mRNA expression.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.