Evidence map›Paper›PMID 34019951›Full record

ReviewNeuroscience research2021

Tripartite synaptomics: Cell-surface proximity labeling in vivo.

Tetsuya Takano, Scott H Soderling

Abstract readReview
In one paragraph

Review in Neuroscience research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. The dark side of synaptic proteins in tumours.British journal of cancer · 2022
    Review
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Tetsuya TakanoDepartment of Neurophysiology, Keio University School of Medicine, Tokyo, 160-8582, Japan; The Department of Cell Biology, Duke University Medical School, Durham, NC, 27710, USA. Electronic address: tetsuya.takano@keio.jp.
Scott H SoderlingThe Department of Cell Biology, Duke University Medical School, Durham, NC, 27710, USA.

Funding

New Proteomic and Genome Engineering Approaches to Decipher Astrocyte Function at SynapsesR01DA047258 · NIDA · DUKE UNIVERSITY · PI EROGLU, CAGLA, SODERLING, SCOTT H · 2018 to 2020
$2.1M
NIDA NIH HHS R01 DA047258
6 · The paper itself

Abstract

The astrocyte is a central glial cell and plays a critical role in the architecture and activity of neuronal circuits and brain functions through forming a tripartite synapse with neurons. Emerging evidence suggests that dysfunction of tripartite synaptic connections contributes to a variety of psychiatric and neurodevelopmental disorders. Furthermore, recent advancements with transcriptome profiling, cell biological and physiological approaches have provided new insights into the molecular mechanisms into how astrocytes control synaptogenesis in the brain. In addition to these findings, we have recently developed in vivo cell-surface proximity-dependent biotinylation (BioID) approaches, TurboID-surface and Split-TurboID, to comprehensively understand the molecular composition between astrocytes and neuronal synapses. These proteomic approaches have discovered a novel molecular framework for understanding the tripartite synaptic cleft that arbitrates neuronal circuit formation and function. Here, this short review highlights novel in vivo cell-surface BioID approaches and recent advances in this rapidly evolving field, emphasizing how astrocytes regulate excitatory and inhibitory synapse formation in vitro and in vivo.

Indexed as

ProteomicsSynapsesAstrocytesNeurogenesisNeuronsAstrocyteBioIDNeuronSplit-TurboIDSynapseSynaptomicsTripartite synapse

Identifiers

PMID34019951
PMCPMC8602446

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

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.