Evidence map›Paper›PMID 42420240›Full record

ArticleCell death & disease2026

Analysis of haploinsufficiency in human neural progenitor cells: insights into early molecular effects of autism-related genes.

Roni Sarel-Gallily, Assa Sherman, Daniel Pollak, Nissim Benvenisty

Abstract read
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Article in Cell death & disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Roni Sarel-Gallily *The Azrieli Center for Stem Cells and Genetic Research, Department of Genetics, Institute of Life Sciences, The Hebrew University, Jerusalem, Israel.
Assa Sherman *The Azrieli Center for Stem Cells and Genetic Research, Department of Genetics, Institute of Life Sciences, The Hebrew University, Jerusalem, Israel.
Daniel PollakThe Azrieli Center for Stem Cells and Genetic Research, Department of Genetics, Institute of Life Sciences, The Hebrew University, Jerusalem, Israel.
Nissim BenvenistyThe Azrieli Center for Stem Cells and Genetic Research, Department of Genetics, Institute of Life Sciences, The Hebrew University, Jerusalem, Israel. nissimb@mail.huji.ac.il.ORCID http://orcid.org/0000-0001-8234-2685

Funding

Israel Science Foundation (ISF) 2054/22Israel Science Foundation (ISF) 3605/21United States - Israel Binational Science Foundation (BSF) 2021278
6 · The paper itself

Abstract

Haploinsufficiency describes a phenomenon where one functional allele of a gene in a diploid cell or organism is insufficient for a normal phenotype. There are several neurodevelopmental disorders (NDD) affected by the haploinsufficiency phenomenon, and many of them are related to autism spectrum disorder (ASD). Here, we aim to identify genes involved in the early stages of neural differentiation when one of the two alleles is lost. We thus differentiated a genome-wide heterozygous loss-of-function CRISPR library into neural progenitor cells (NPCs) and defined about 250 genes essential for neural differentiation in a haploinsufficient manner. We were able to identify NDD-related dosage-sensitive pathways and pinpoint specific molecular processes affected by ASD-related genes. By comparing the molecular phenotypes of homozygote and heterozygote mutations, we could illuminate overlapping and distinct transcriptional pathways affected in the two mutant models, along with partial chemical rescue of some of these phenotypes. Our work provides a comprehensive framework for exploring dosage-sensitive regulation in early neural development and offers new insights into the embryonic molecular basis of ASD and other NDDs driven by gene dosage imbalance.

Indexed as

Autism Spectrum DisorderAutistic DisorderHaploinsufficiencyNeural Stem CellsCell DifferentiationHumansMutationPhenotype

Identifiers

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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.