Evidence map›Paper›PMID 27801893›Full record

ArticleTranslational psychiatry2016

The DPYSL2 gene connects mTOR and schizophrenia.

X Pham, G Song, S Lao, L Goff, H Zhu, D Valle, D Avramopoulos

Abstract read
In one paragraph

Article in Translational psychiatry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Known and Unexplored Post-Translational Modification Pathways in Schizophrenia.Advances in experimental medicine and biology · 2022
    Article
  8. Investigating the regulation of themicroPublication biology · 2022
    Article
  9. Cellular Models in Schizophrenia Research.International journal of molecular sciences · 2021
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Protein Translation and Psychiatric Disorders.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2020
    Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. International journal of molecular sciences · 2019
    Review
  20. Integrative network analysis reveals biological pathways associated with Williams syndrome.Journal of child psychology and psychiatry, and allied disciplines · 2019
    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

7 authors.

X PhamMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
G SongDepartment of Pharmacology and Molecular Sciences, Baltimore, MD, USA.
S LaoUniversity of Maryland, College Park, MD, USA.
L GoffMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
H ZhuDepartment of Pharmacology and Molecular Sciences, Baltimore, MD, USA.
D ValleMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
D AvramopoulosMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Funding

Project 3P50MH094268 · NIMH · JOHNS HOPKINS UNIVERSITY · PI SAWA, AKIRA · 2011 to 2020
$19.9M
Predoctoral Training Program in Human GeneticsT32GM007814 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 1985 to 2021
$10.6M
Identification of genetic determinants of schizophrenia related phenotypesR01MH085018 · NIMH · JOHNS HOPKINS UNIVERSITY · PI AVRAMOPOULOS, DIMITRIOS · 2010 to 2013
$2.5M
1/2 Schizophrenia Heterogeneity and Toxoplasma ExposureR01MH092515 · NIMH · JOHNS HOPKINS UNIVERSITY · PI AVRAMOPOULOS, DIMITRIOS · 2011 to 2013
$1.0M
NIGMS NIH HHS T32 GM007814NIMH NIH HHS P50 MH094268NIMH NIH HHS R01 MH085018NIMH NIH HHS R01 MH092515
6 · The paper itself

Abstract

We previously reported a schizophrenia-associated polymorphic CT di-nucleotide repeat (DNR) at the 5'-untranslated repeat (UTR) of DPYSL2, which responds to mammalian target of Rapamycin (mTOR) signaling with allelic differences in reporter assays. Now using microarray analysis, we show that the DNR alleles interact differentially with specific proteins, including the mTOR-related protein HuD/ELAVL4. We confirm the differential binding to HuD and other known mTOR effectors by electrophoretic mobility shift assays. We edit HEK293 cells by CRISPR/Cas9 to carry the schizophrenia risk variant (13DNR) and observe a significant reduction of the corresponding CRMP2 isoform. These edited cells confirm the response to mTOR inhibitors and show a twofold shortening of the cellular projections. Transcriptome analysis of these modified cells by RNA-seq shows changes in 12.7% of expressed transcripts at a false discovery rate of 0.05. These transcripts are enriched in immunity-related genes, overlap significantly with those modified by the schizophrenia-associated gene, ZNF804A, and have a reverse expression signature from that seen with antipsychotic drugs. Our results support the functional importance of the DPYSL2 DNR and a role for mTOR signaling in schizophrenia.

Indexed as

AllelesCell LineDinucleotide RepeatsGene Expression RegulationGenetic Association StudiesGenetic Predisposition to DiseaseHumansIntercellular Signaling Peptides and ProteinsKruppel-Like Transcription FactorsNerve Tissue ProteinsSchizophreniaSequence Analysis, RNATOR Serine-Threonine KinasesTransfectionUntranslated Regionscollapsin response mediator protein-2Intercellular Signaling Peptides and ProteinsKruppel-Like Transcription FactorsMTOR protein, humanNerve Tissue ProteinsTOR Serine-Threonine KinasesUntranslated RegionsZNF804A protein, human

Identifiers

PMID27801893
PMCPMC5314117

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.