Evidence map›Paper›PMID 37083703›Full record

ArticleeLife2023

High-content synaptic phenotyping in human cellular models reveals a role for BET proteins in synapse assembly.

Martin H Berryer, Gizem Rizki, Anna Nathanson, Jenny A Klein, Darina Trendafilova, Sara G Susco, Daisy Lam, Angelica Messana, Kristina M Holton, Kyle W Karhohs and 5 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. 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

15 authors at 2 institutions in 1 country.

Martin H BerryerStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, United States.
Gizem RizkiStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, United States.
Anna NathansonStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, United States.
Jenny A KleinStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, United States.
Darina TrendafilovaStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, United States.
Sara G SuscoStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, United States.
Daisy LamStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, United States.
Angelica MessanaStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, United States.
Kristina M HoltonStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, United States.
Kyle W KarhohsImaging Platform, Broad Institute of MIT and Harvard, Cambridge, United States.
Beth A CiminiImaging Platform, Broad Institute of MIT and Harvard, Cambridge, United States.ORCID 0000-0001-9640-9318
Kathleen PfaffDepartment of Stem Cell and Regenerative Biology, Harvard University, Cambridge, United States.
Anne E CarpenterImaging Platform, Broad Institute of MIT and Harvard, Cambridge, United States.ORCID 0000-0003-1555-8261
Lee L RubinStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, United States.ORCID 0000-0002-8658-841X
Lindy E BarrettStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, United States.ORCID 0000-0002-3229-4774
Broad Institute · USHarvard University · US

Funding

Extracting rich information from biological imagesR35GM122547 · NIGMS · BROAD INSTITUTE, INC. · PI Anne E. Carpenter · 2017 to 2026
$6.2M
NIGMS NIH HHS R35 GM122547
6 · The paper itself

Abstract

Resolving fundamental molecular and functional processes underlying human synaptic development is crucial for understanding normal brain function as well as dysfunction in disease. Based upon increasing evidence of species-divergent features of brain cell types, coupled with emerging studies of complex human disease genetics, we developed the first automated and quantitative high-content synaptic phenotyping platform using human neurons and astrocytes. To establish the robustness of our platform, we screened the effects of 376 small molecules on presynaptic density, neurite outgrowth, and cell viability, validating six small molecules that specifically enhanced human presynaptic density in vitro. Astrocytes were essential for mediating the effects of all six small molecules, underscoring the relevance of non-cell-autonomous factors in synapse assembly and their importance in synaptic screening applications. Bromodomain and extraterminal (BET) inhibitors emerged as the most prominent hit class and global transcriptional analyses using multiple BET inhibitors confirmed upregulation of synaptic gene expression. Through these analyses, we demonstrate the robustness of our automated screening platform for identifying potent synaptic modulators, which can be further leveraged for scaled analyses of human synaptic mechanisms and drug discovery efforts.

Indexed as

NeurogenesisNeuronsAstrocytesHumansNeuronal OutgrowthSynapsesastrocyteshumaniPSCneuronsneuroscienceregenerative medicinescreening platformstem cellssynapse

Identifiers

PMID37083703
PMCPMC10121225
OpenAlexW4366603140

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.