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FoxO6 regulates memory consolidation and synaptic function

Genes & Development(2012)10.1101/gad.208926.112Source: DataRank Database

FoxO6 regulates memory consolidation and synaptic function is a research paper published in Genes & Development (2012). On theSindex it has a DataRank of 4.9. It has been cited 139 times, with 133 citing works in its 1-hop citation network.

N/A
4.9DataRank · unranked
4.9
Open Access139 citations · base score 4.9
Cite:
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Abstract

The FoxO family of transcription factors is known to slow aging downstream from the insulin/IGF (insulin-like growth factor) signaling pathway. The most recently discovered FoxO isoform in mammals, FoxO6, is highly enriched in the adult hippocampus. However, the importance of FoxO factors in cognition is largely unknown. Here we generated mice lacking FoxO6 and found that these mice display normal learning but impaired memory consolidation in contextual fear conditioning and novel object recognition. Using stereotactic injection of viruses into the hippocampus of adult wild-type mice, we found that FoxO6 activity in the adult hippocampus is required for memory consolidation. Genome-wide approaches revealed that FoxO6 regulates a program of genes involved in synaptic function upon learning in the hippocampus. Consistently, FoxO6 deficiency results in decreased dendritic spine density in hippocampal neurons in vitro and in vivo. Thus, FoxO6 may promote memory consolidation by regulating a program coordinating neuronal connectivity in the hippocampus, which could have important implications for physiological and pathological age-dependent decline in memory.

Data sources & pipeline
Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring
Enrichment:Pending

FAIR Checklist

Context only (not used in score)
Findable (1/2)
  • Has DOI
Accessible (1/2)
  • Open Access
Interoperable (0/2)
    Reusable (0/3)

      FAIR checklist signals are shown for context only and do not affect DataRank scoring.

      DataRank Breakdown

      Base Score 15%Citation Network 85%

      Base Score Contribution

      0.741

      From this paper's citation signal

      Citation Network Contribution

      4.2

      From 118 citing papers with measurable signal

      Learn more about DataRank methodology →

      Top 5 citers driving the network score

      Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.

      1. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
        Journal of the Royal Statistical Society Series B: Statistical Methodology1995106,426 citationsDataRank 1.7
      2. Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
        Proceedings of the National Academy of Sciences200555,906 citationsDataRank 1.6
      3. Significance analysis of microarrays applied to the ionizing radiation response
        Proceedings of the National Academy of Sciences200110,665 citationsDataRank 1.4
      Why this DataRank?

      DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 15% comes from its base citations and 85% from the citation network (118 citing papers contributed measurable signal).

      Base score B(p)
      log1p(citation_count) — grows sub-linearly, so a paper with 1,000 citations is not 10× a paper with 100.
      Network N(p)
      Σ over citers of log1p(Cq) ÷ max(outdegreeq, 1). Being cited by a highly-cited paper with few references counts most.
      Damping factor d = 0.85
      DataRank = (1−d)·B(p) + d·N(p) — the two cards above are each already multiplied by their share.
      Self-citations excluded
      Citers sharing any OpenAlex author ID with this paper are filtered out before the network sum.

      Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.

      Read the full methodology →

      Click a node to highlight its connections. Use scroll to zoom. Drag to pan.

      Node colors:CenterData PaperData + Open AccessNon-dataSelected & links| Node size = percentile rank

      Authors (18)

      Asim J. RashidORCID,Damien ColasORCID,Luis de la Torre-UbietaORCID,Ruo P. Zhu,Alexander A. Morgan