Evidence map›Paper›PMID 37099425›Full record

ArticleCell reports2023

A synaptic molecular dependency network in knockdown of autism- and schizophrenia-associated genes revealed by multiplexed imaging.

Reuven Falkovich, Eric W Danielson, Karen Perez de Arce, Eike-C Wamhoff, Juliana Strother, Anna P Lapteva, Morgan Sheng, Jeffrey R Cottrell, Mark Bathe

Abstract read
In one paragraph

Article in Cell reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Epigenetic treatment of synaptic and behavioral deficits in Dyrk1a-mutant mice.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
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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

9 authors.

Reuven FalkovichDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Eric W DanielsonDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Karen Perez de ArceStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Eike-C WamhoffDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Juliana StrotherDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Anna P LaptevaDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Morgan ShengStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA.
Jeffrey R CottrellStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Mark BatheDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Harvard Medical School Initiative for RNA Medicine, Harvard University, Cambridge, MA, USA. Electronic address: mark.bathe@mit.edu.

Funding

TOXICOLOGY CORE UNITP30ES002109 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI NILES, JACQUIN C · 1985 to 2020
$25.6M
Simultaneous profiling of neuronal synapse activities, proteins, and messenger RNAs at the single-cell levelR01MH112694 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Mark Bathe · 2017 to 2026
$2.8M
Opera Phenix high-throughput microplate confocal imager for high-content screeningS10OD026839 · OD · BROAD INSTITUTE, INC. · PI WAGNER, BRIDGET K · 2019 to 2019
$1.0M
Investigation of the Synaptic Molecular Network using Multiplexed ImagingR21MH130624 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BATHE, MARK · 2022 to 2023
$418k
NIEHS NIH HHS P30 ES002109NIH HHS S10 OD026839NIMH NIH HHS R01 MH112694NIMH NIH HHS R21 MH130624
6 · The paper itself

Abstract

The complex functions of neuronal synapses depend on their tightly interconnected protein network, and their dysregulation is implicated in the pathogenesis of autism spectrum disorders and schizophrenia. However, it remains unclear how synaptic molecular networks are altered biochemically in these disorders. Here, we apply multiplexed imaging to probe the effects of RNAi knockdown of 16 autism- and schizophrenia-associated genes on the simultaneous joint distribution of 10 synaptic proteins, observing several protein composition phenotypes associated with these risk genes. We apply Bayesian network analysis to infer hierarchical dependencies among eight excitatory synaptic proteins, yielding predictive relationships that can only be accessed with single-synapse, multiprotein measurements performed simultaneously in situ. Finally, we find that central features of the network are affected similarly across several distinct gene knockdowns. These results offer insight into the convergent molecular etiology of these widespread disorders and provide a general framework to probe subcellular molecular networks.

Indexed as

Autism Spectrum DisorderAutistic DisorderSchizophreniaBayes TheoremHumansSynapsesautismBayesian network inferenceCP: GenomicsCP: Neurosciencegenetic screenmolecular networkmultiplexed imagingRNAischizophreniasiRNAsynapsesynaptic protein

Identifiers

PMID37099425
PMCPMC10259678

What Socratic holds

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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 Socratic graph.