Evidence map›Paper›PMID 25557783›Full record

ArticleAmerican journal of human genetics2015

Biased allelic expression in human primary fibroblast single cells.

Christelle Borel, Pedro G Ferreira, Federico Santoni, Olivier Delaneau, Alexandre Fort, Konstantin Y Popadin, Marco Garieri, Emilie Falconnet, Pascale Ribaux, Michel Guipponi and 4 more

Abstract read
In one paragraph

Article in American journal of human genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 1 pooled it
–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

81 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Single-Cell Multiomic Analysis of Circadian Rhythmicity in Mouse Liver.bioRxiv : the preprint server for biology · 2025
    Article
  8. CommonGenome research · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Single-cell genomics and regulatory networks for 388 human brains.bioRxiv : the preprint server for biology · 2024
    Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article

21 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

14 authors.

Christelle BorelDepartment of Genetic Medicine and Development, University of Geneva, 1211 Geneva, Switzerland.
Pedro G FerreiraDepartment of Genetic Medicine and Development, University of Geneva, 1211 Geneva, Switzerland; Institute of Genetics and Genomics of Geneva, 1211 Geneva, Switzerland; Swiss Institute of Bioinformatics, 1211 Geneva, Switzerland.
Federico SantoniDepartment of Genetic Medicine and Development, University of Geneva, 1211 Geneva, Switzerland.
Olivier DelaneauDepartment of Genetic Medicine and Development, University of Geneva, 1211 Geneva, Switzerland; Institute of Genetics and Genomics of Geneva, 1211 Geneva, Switzerland; Swiss Institute of Bioinformatics, 1211 Geneva, Switzerland.
Alexandre FortDivision of Genomic Technologies, RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan.
Konstantin Y PopadinDepartment of Genetic Medicine and Development, University of Geneva, 1211 Geneva, Switzerland.
Marco GarieriDepartment of Genetic Medicine and Development, University of Geneva, 1211 Geneva, Switzerland.
Emilie FalconnetDepartment of Genetic Medicine and Development, University of Geneva, 1211 Geneva, Switzerland.
Pascale RibauxDepartment of Genetic Medicine and Development, University of Geneva, 1211 Geneva, Switzerland.
Michel GuipponiDepartment of Genetic Medicine and Development, University of Geneva, 1211 Geneva, Switzerland; Service of Genetic Medicine, University Hospitals of Geneva, 1211 Geneva, Switzerland.
Ismael PadioleauDepartment of Genetic Medicine and Development, University of Geneva, 1211 Geneva, Switzerland.
Piero CarninciDivision of Genomic Technologies, RIKEN Center for Life Science Technologies, Yokohama, Kanagawa 230-0045, Japan.
Emmanouil T DermitzakisDepartment of Genetic Medicine and Development, University of Geneva, 1211 Geneva, Switzerland; Institute of Genetics and Genomics of Geneva, 1211 Geneva, Switzerland; Swiss Institute of Bioinformatics, 1211 Geneva, Switzerland; Center of Excellence for Genomic Medicine Research, King Abdulaziz University, Jeddah 21589, Saudi Arabia; Biomedical Research Foundation Academy of Athens, Athens 11527, Greece. Electronic address: emmanouil.dermitzakis@unige.ch.
Stylianos E AntonarakisDepartment of Genetic Medicine and Development, University of Geneva, 1211 Geneva, Switzerland; Institute of Genetics and Genomics of Geneva, 1211 Geneva, Switzerland; Service of Genetic Medicine, University Hospitals of Geneva, 1211 Geneva, Switzerland. Electronic address: stylianos.antonarakis@unige.ch.

Funding

European Research Council 249968
6 · The paper itself

Abstract

The study of gene expression in mammalian single cells via genomic technologies now provides the possibility to investigate the patterns of allelic gene expression. We used single-cell RNA sequencing to detect the allele-specific mRNA level in 203 single human primary fibroblasts over 133,633 unique heterozygous single-nucleotide variants (hetSNVs). We observed that at the snapshot of analyses, each cell contained mostly transcripts from one allele from the majority of genes; indeed, 76.4% of the hetSNVs displayed stochastic monoallelic expression in single cells. Remarkably, adjacent hetSNVs exhibited a haplotype-consistent allelic ratio; in contrast, distant sites located in two different genes were independent of the haplotype structure. Moreover, the allele-specific expression in single cells correlated with the abundance of the cellular transcript. We observed that genes expressing both alleles in the majority of the single cells at a given time point were rare and enriched with highly expressed genes. The relative abundance of each allele in a cell was controlled by some regulatory mechanisms given that we observed related single-cell allelic profiles according to genes. Overall, these results have direct implications in cellular phenotypic variability.

Indexed as

AllelesGenome, HumanSequence Analysis, RNADNA, ComplementaryFibroblastsHaplotypesHeterozygoteHumansPhenotypeRNA, MessengerSingle-Cell AnalysisDNA, ComplementaryRNA, Messenger

Identifiers

PMID25557783
PMCPMC4289680

What OpenQuestion holds

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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.