Evidence map›Paper›PMID 30510006›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Extensive cellular heterogeneity of X inactivation revealed by single-cell allele-specific expression in human fibroblasts.

Marco Garieri, Georgios Stamoulis, Xavier Blanc, Emilie Falconnet, Pascale Ribaux, Christelle Borel, Federico Santoni, Stylianos E Antonarakis

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

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

63 citing papers in PubMed.

  1. Review
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  7. MCT8 Deficiency in Females.The Journal of clinical endocrinology and metabolism · 2025
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3 more citing papers are in PubMed but not listed here.

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

8 authors.

Marco GarieriDepartment of Genetic Medicine and Development, University of Geneva Medical School, 1211 Geneva, CH, Switzerland.
Georgios StamoulisDepartment of Genetic Medicine and Development, University of Geneva Medical School, 1211 Geneva, CH, Switzerland.
Xavier BlancDepartment of Genetic Medicine and Development, University of Geneva Medical School, 1211 Geneva, CH, Switzerland.
Emilie FalconnetDepartment of Genetic Medicine and Development, University of Geneva Medical School, 1211 Geneva, CH, Switzerland.
Pascale RibauxDepartment of Genetic Medicine and Development, University of Geneva Medical School, 1211 Geneva, CH, Switzerland.
Christelle BorelDepartment of Genetic Medicine and Development, University of Geneva Medical School, 1211 Geneva, CH, Switzerland; christelle.borel@unige.ch federico.santoni@chuv.ch stylianos.antonarakis@unige.ch.
Federico SantoniDepartment of Genetic Medicine and Development, University of Geneva Medical School, 1211 Geneva, CH, Switzerland; christelle.borel@unige.ch federico.santoni@chuv.ch stylianos.antonarakis@unige.ch.ORCID 0000-0002-3258-4747
Stylianos E AntonarakisDepartment of Genetic Medicine and Development, University of Geneva Medical School, 1211 Geneva, CH, Switzerland; christelle.borel@unige.ch federico.santoni@chuv.ch stylianos.antonarakis@unige.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

X-chromosome inactivation (XCI) provides a dosage compensation mechanism where, in each female cell, one of the two X chromosomes is randomly silenced. However, some genes on the inactive X chromosome and outside the pseudoautosomal regions escape from XCI and are expressed from both alleles (escapees). We investigated XCI at single-cell resolution combining deep single-cell RNA sequencing with whole-genome sequencing to examine allelic-specific expression in 935 primary fibroblast and 48 lymphoblastoid single cells from five female individuals. In this framework we integrated an original method to identify and exclude doublets of cells. In fibroblast cells, we have identified 55 genes as escapees including five undescribed escapee genes. Moreover, we observed that all genes exhibit a variable propensity to escape XCI in each cell and cell type and that each cell displays a distinct expression profile of the escapee genes. A metric, the Inactivation Score-defined as the mean of the allelic expression profiles of the escapees per cell-enables us to discover a heterogeneous and continuous degree of cellular XCI with extremes represented by "inactive" cells, i.e., cells exclusively expressing the escaping genes from the active X chromosome and "escaping" cells expressing the escapees from both alleles. We found that this effect is associated with cell-cycle phases and, independently, with the XIST expression level, which is higher in the quiescent phase (G0). Single-cell allele-specific expression is a powerful tool to identify novel escapees in different tissues and provide evidence of an unexpected cellular heterogeneity of XCI.

Indexed as

X Chromosome InactivationAllelesCells, CulturedChromosomes, Human, XFemaleFibroblastsHigh-Throughput Nucleotide SequencingHumansSingle-Cell AnalysisTranscriptomecell cyclecell heterogeneitysingle-cell transcriptomicsX inactivationXIST

Identifiers

PMID30510006
PMCPMC6304968

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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.