Evidence map›Paper›PMID 30356048›Full record

ArticleNature communications2018

Expression-based drug screening of neural progenitor cells from individuals with schizophrenia.

Benjamin Readhead, Brigham J Hartley, Brian J Eastwood, David A Collier, David Evans, Richard Farias, Ching He, Gabriel Hoffman, Pamela Sklar, Joel T Dudley and 3 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 79 citations in OpenAlex.

  1. Pooled it
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  7. Stem cell modeling of nervous system tumors.Disease models & mechanisms · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 6 institutions in 2 countries.

Benjamin ReadheadDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Brigham J HartleyDepartment of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Brian J EastwoodEli Lilly and Company Ltd, Erl Wood Manor, Surrey, UK.
David A CollierEli Lilly and Company Ltd, Erl Wood Manor, Surrey, UK.ORCID http://orcid.org/0000-0003-4087-1559
David EvansEli Lilly and Company Ltd, Erl Wood Manor, Surrey, UK.
Richard FariasDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Ching HeDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Gabriel HoffmanDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.ORCID http://orcid.org/0000-0002-0957-0224
Pamela SklarDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Joel T DudleyDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Eric E SchadtDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA. eric.schadt@mssm.edu.ORCID http://orcid.org/0000-0002-7892-8808
Radoslav SavićDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA. radoslav.savic@mssm.edu.
Kristen J BrennandDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA. kristen.brennand@mssm.edu.ORCID http://orcid.org/0000-0003-0993-5956
Icahn School of Medicine at Mount Sinai · USAllen Institute for Brain Science · USEli Lilly (United Kingdom) · GBSema4 (United States) · USArizona State University · USKing's College London · GB

Funding

Higher Order Chromatin and Genetic Risk for SchizophreniaR01MH106056 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI AKBARIAN, SCHAHRAM, BRENNAND, KRISTEN JENNIFER · 2015 to 2023
$6.7M
Contrasting causal microRNAs in forebrain and midbrain COS hiPSC neural cellsR01MH101454 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BRENNAND, KRISTEN JENNIFER · 2013 to 2017
$2.8M
Transforming Genomics with 5 PB Big Omics Data Engine Cray CS300-AC SupercomputerS10OD018522 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2014 to 2014
$1.9M
NIH HHS S10 OD018522NIMH NIH HHS R01 MH101454NIMH NIH HHS R01 MH106056U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH101454
6 · The paper itself

Abstract

A lack of biologically relevant screening models hinders the discovery of better treatments for schizophrenia (SZ) and other neuropsychiatric disorders. Here we compare the transcriptional responses of 8 commonly used cancer cell lines (CCLs) directly with that of human induced pluripotent stem cell (hiPSC)-derived neural progenitor cells (NPCs) from 12 individuals with SZ and 12 controls across 135 drugs, generating 4320 unique drug-response transcriptional signatures. We identify those drugs that reverse post-mortem SZ-associated transcriptomic signatures, several of which also differentially regulate neuropsychiatric disease-associated genes in a cell type (hiPSC NPC vs. CCL) and/or a diagnosis (SZ vs. control)-dependent manner. Overall, we describe a proof-of-concept application of transcriptomic drug screening to hiPSC-based models, demonstrating that the drug-induced gene expression differences observed with patient-derived hiPSC NPCs are enriched for SZ biology, thereby revealing a major advantage of incorporating cell type and patient-specific platforms in drug discovery.

Indexed as

Cell LineCell Line, TumorDimethyl SulfoxideHumansInduced Pluripotent Stem CellsNeural Stem CellsQuality ControlSchizophreniaTranscriptomeDimethyl Sulfoxide

Identifiers

PMID30356048
PMCPMC6200740
OpenAlexW2896631891

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.