Evidence map›Paper›PMID 35177756›Full record

ArticleCommunications biology2022

BrewerIX enables allelic expression analysis of imprinted and X-linked genes from bulk and single-cell transcriptomes.

Paolo Martini, Gabriele Sales, Linda Diamante, Valentina Perrera, Chiara Colantuono, Sara Riccardo, Davide Cacchiarelli, Chiara Romualdi, Graziano Martello

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Variable allelic expression of imprinted genes at theFrontiers in cell and developmental biology · 2022
    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

9 authors at 3 institutions in 1 country.

Paolo Martini *Department of Biology, University of Padova, Padua, Italy.
Gabriele Sales *Department of Biology, University of Padova, Padua, Italy.ORCID http://orcid.org/0000-0003-2078-5661
Linda DiamanteDepartment of Molecular Medicine, Medical School, University of Padova, Padua, Italy.
Valentina PerreraDepartment of Molecular Medicine, Medical School, University of Padova, Padua, Italy.
Chiara ColantuonoTelethon Institute of Genetics and Medicine (TIGEM), Armenise/Harvard Laboratory of Integrative Genomics, Pozzuoli, Italy.
Sara RiccardoTelethon Institute of Genetics and Medicine (TIGEM), Armenise/Harvard Laboratory of Integrative Genomics, Pozzuoli, Italy.
Davide CacchiarelliTelethon Institute of Genetics and Medicine (TIGEM), Armenise/Harvard Laboratory of Integrative Genomics, Pozzuoli, Italy.
Chiara RomualdiDepartment of Biology, University of Padova, Padua, Italy. chiara.romualdi@unipd.it.ORCID http://orcid.org/0000-0003-4792-9047
Graziano MartelloDepartment of Biology, University of Padova, Padua, Italy. graziano.martello@unipd.it.ORCID http://orcid.org/0000-0001-5520-085X
University of Padua · ITTelethon Institute Of Genetics And Medicine · ITScuola Internazionale Superiore di Studi Avanzati · IT

Funding

Fondazione Telethon (Telethon Foundation) TCP13013
6 · The paper itself

Abstract

Genomic imprinting and X chromosome inactivation (XCI) are two prototypical epigenetic mechanisms whereby a set of genes is expressed mono-allelically in order to fine-tune their expression levels. Defects in genomic imprinting have been observed in several neurodevelopmental disorders, in a wide range of tumours and in induced pluripotent stem cells (iPSCs). Single Nucleotide Variants (SNVs) are readily detectable by RNA-sequencing allowing the determination of whether imprinted or X-linked genes are aberrantly expressed from both alleles, although standardised analysis methods are still missing. We have developed a tool, named BrewerIX, that provides comprehensive information about the allelic expression of a large, manually-curated set of imprinted and X-linked genes. BrewerIX does not require programming skills, runs on a standard personal computer, and can analyze both bulk and single-cell transcriptomes of human and mouse cells directly from raw sequencing data. BrewerIX confirmed previous observations regarding the bi-allelic expression of some imprinted genes in naive pluripotent cells and extended them to preimplantation embryos. BrewerIX also identified misregulated imprinted genes in breast cancer cells and in human organoids and identified genes escaping XCI in human somatic cells. We believe BrewerIX will be useful for the study of genomic imprinting and XCI during development and reprogramming, and for detecting aberrations in cancer, iPSCs and organoids. Due to its ease of use to non-computational biologists, its implementation could become standard practice during sample assessment, thus raising the robustness and reproducibility of future studies.

Indexed as

AllelesSoftwareAnimalsBreast NeoplasmsGene Expression RegulationGenes, X-LinkedHumansMiceSingle-Cell AnalysisTranscriptome

Identifiers

PMID35177756
PMCPMC8854590
OpenAlexW4213221376

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.