Evidence map›Paper›PMID 35887306›Full record

ArticleInternational journal of molecular sciences2022

Bridging between Mouse and Human Enhancer-Promoter Long-Range Interactions in Neural Stem Cells, to Understand Enhancer Function in Neurodevelopmental Disease.

Romina D'Aurizio, Orazio Catona, Mattia Pitasi, Yang Eric Li, Bing Ren, Silvia Kirsten Nicolis

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. 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
0.6field-weighted citation impact, top 36% 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

8 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. ArXiv · 2024
    Article
  4. Structural Variant Disrupting the Expression of the RemoteInternational journal of molecular sciences · 2024
    Article
  5. Bioinformatics advances · 2024
    Article
  6. Article
  7. Review
  8. Review
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

6 authors at 3 institutions in 2 countries.

Romina D'AurizioInstitute of Informatics and Telematics (IIT), National Research Council (CNR), 56124 Pisa, Italy.ORCID 0000-0002-1728-6397
Orazio CatonaInstitute of Informatics and Telematics (IIT), National Research Council (CNR), 56124 Pisa, Italy.
Mattia PitasiDipartimento di Biotecnologie e Bioscienze, University of Milano-Bicocca, 20126 Milano, Italy.
Yang Eric LiUniversity of California San Diego, La Jolla, CA 92093, USA.ORCID 0000-0001-6997-6018
Bing RenUniversity of California San Diego, La Jolla, CA 92093, USA.ORCID 0000-0002-5435-1127
Silvia Kirsten NicolisDipartimento di Biotecnologie e Bioscienze, University of Milano-Bicocca, 20126 Milano, Italy.ORCID 0000-0003-0378-3808
Institute of Informatics and Telematics · ITUniversity of California San Diego · USUniversity of Milano-Bicocca · IT

Funding

Wellcome Trust
6 · The paper itself

Abstract

Non-coding variation in complex human disease has been well established by genome-wide association studies, and is thought to involve regulatory elements, such as enhancers, whose variation affects the expression of the gene responsible for the disease. The regulatory elements often lie far from the gene they regulate, or within introns of genes differing from the regulated gene, making it difficult to identify the gene whose function is affected by a given enhancer variation. Enhancers are connected to their target gene promoters via long-range physical interactions (loops). In our study, we re-mapped, onto the human genome, more than 10,000 enhancers connected to promoters via long-range interactions, that we had previously identified in mouse brain-derived neural stem cells by RNApolII-ChIA-PET analysis, coupled to ChIP-seq mapping of DNA/chromatin regions carrying epigenetic enhancer marks. These interactions are thought to be functionally relevant. We discovered, in the human genome, thousands of DNA regions syntenic with the interacting mouse DNA regions (enhancers and connected promoters). We further annotated these human regions regarding their overlap with sequence variants (single nucleotide polymorphisms, SNPs; copy number variants, CNVs), that were previously associated with neurodevelopmental disease in humans. We document various cases in which the genetic variant, associated in humans to neurodevelopmental disease, affects an enhancer involved in long-range interactions: SNPs, previously identified by genome-wide association studies to be associated with schizophrenia, bipolar disorder, and intelligence, are located within our human syntenic enhancers, and alter transcription factor recognition sites. Similarly, CNVs associated to autism spectrum disease and other neurodevelopmental disorders overlap with our human syntenic enhancers. Some of these enhancers are connected (in mice) to homologs of genes already associated to the human disease, strengthening the hypothesis that the gene is indeed involved in the disease. Other enhancers are connected to genes not previously associated with the disease, pointing to their possible pathogenetic involvement. Our observations provide a resource for further exploration of neural disease, in parallel with the now widespread genome-wide identification of DNA variants in patients with neural disease.

Indexed as

Neural Stem CellsNeurodevelopmental DisordersAnimalsChromatinEnhancer Elements, GeneticGenome-Wide Association StudyHumansMicePromoter Regions, GeneticChromatincopy number variants (CNV)enhancersgenome-wide association studies (GWAS)long-range interactionsneural stem-cellsneurodevelopmental diseasesnon-coding DNAsingle-nucleotide polymorphisms (SNP)

Identifiers

PMID35887306
PMCPMC9322198
OpenAlexW4286217233

What OpenQuestion holds

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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.