Evidence map›Paper›PMID 31153043›Full record

ArticleiScience2019

The Drosophila Chromodomain Protein Kismet Activates Steroid Hormone Receptor Transcription to Govern Axon Pruning and Memory In Vivo.

Nina K Latcheva, Jennifer M Viveiros, Daniel R Marenda

Abstract read
In one paragraph

Article in iScience, 2019. 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. Article
  2. Article
  3. Article
  4. Article
  5. Coregulators Reside withinInternational journal of molecular sciences · 2023
    Article
  6. Article
  7. The making of the Drosophila mushroom body.Frontiers in physiology · 2023
    Review
  8. Article
  9. 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

3 authors.

Nina K LatchevaDepartment of Biology, Drexel University, 3141 Chestnut St., Philadelphia, PA 19104, USA; Program in Molecular and Cellular Biology and Genetics, Drexel University College of Medicine, Philadelphia, PA, USA.
Jennifer M ViveirosDepartment of Biology, Drexel University, 3141 Chestnut St., Philadelphia, PA 19104, USA.
Daniel R MarendaDepartment of Biology, Drexel University, 3141 Chestnut St., Philadelphia, PA 19104, USA; Program in Molecular and Cellular Biology and Genetics, Drexel University College of Medicine, Philadelphia, PA, USA; Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA, USA. Electronic address: daniel.marenda@drexel.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Axon pruning is critical for sculpting precise neural circuits. Although axon pruning has been described in the literature for decades, relatively little is known about the molecular and cellular mechanisms that govern axon pruning in vivo. Here, we show that the epigenetic reader Kismet (Kis) is required for developmental axon pruning in Drosophila mushroom bodies. Kis binds to cis-regulatory elements of the steroid hormone receptor ecdysone receptor (ecr) gene and is necessary for activating expression of EcR-B1. Kis promotes the active H3K36 di- and tri-methylation and H4K16 acetylation histone marks at the ecr locus. We show that transgenic EcR-B1 can rescue axon pruning and memory defects associated with loss of Kis and that the histone deacetylase inhibitor SAHA also rescues these phenotypes. EcR protein abundance is the cell-autonomous, rate-limiting step required to initiate axon pruning in Drosophila, and our data suggest this step is under the epigenetic control of Kis.

Indexed as

Cellular NeuroscienceModel OrganismMolecular NeuroscienceNeuroscience

Identifiers

PMID31153043
PMCPMC6543131

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Registered trials

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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.