Evidence map›Paper›PMID 20663224›Full record

ArticleGenome biology2010

Paternally biased X inactivation in mouse neonatal brain.

Xu Wang, Paul D Soloway, Andrew G Clark

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

29 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Epigenetic mechanisms regulate sex-specific bias in disease manifestations.Journal of molecular medicine (Berlin, Germany) · 2022
    Review
  5. Article
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  7. Review
  8. Article
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  11. Article
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  18. Article
  19. Embryo manipulation via assisted reproductive technology and epigenetic asymmetry in mammalian early development.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2013
    Review
  20. The origin and evolution of genomic imprinting and viviparity in mammals.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2013
    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

3 authors at 2 institutions in 1 country.

Xu WangDeptartment of Molecular Biology and Genetics, Cornell University, 227 Biotechnology Building, Ithaca, NY 14853, USA.
Paul D Soloway
Andrew G Clark
Cornell University · USNew York State College of Agriculture & Life Sciences · US

Funding

Population Genetic Inferences From Dense Genotype DataR01HG003229 · NHGRI · CORNELL UNIVERSITY ITHACA · PI BUSTAMANTE, CARLOS DANIEL, CLARK, ANDREW G · 2004 to 2013
$4.8M
NHGRI NIH HHS R01 HG003229NHGRI NIH HHS R01-HG003229
6 · The paper itself

Abstract

backgroundX inactivation in female eutherian mammals has long been considered to occur at random in embryonic and postnatal tissues. Methods for scoring allele-specific differential expression with a high degree of accuracy have recently motivated a quantitative reassessment of the randomness of X inactivation.

resultsAfter RNA-seq data revealed what appeared to be a chromosome-wide bias toward under-expression of paternal alleles in mouse tissue, we applied pyrosequencing to mouse brain cDNA samples from reciprocal cross F1 progeny of divergent strains and found a small but consistent and highly statistically significant excess tendency to under-express the paternal X chromosome.

conclusionsThe bias toward paternal X inactivation is reminiscent of marsupials (and extraembryonic tissues in eutherians), suggesting that there may be retained an evolutionarily conserved epigenetic mark driving the bias. Allelic bias in expression is also influenced by the sampling effect of X inactivation and by cis-acting regulatory variation (eQTL), and for each gene we quantify the contributions of these effects in two different mouse strain combinations while controlling for variability in Xce alleles. In addition, we propose an efficient method to identify and confirm genes that escape X inactivation in normal mice by directly comparing the allele-specific expression ratio profile of multiple X-linked genes in multiple individuals.

Indexed as

AllelesAnalysis of VarianceAnimalsAnimals, NewbornBrainChromosomes, MammalianCluster AnalysisCrosses, GeneticFemaleGene Expression ProfilingGene Expression Regulation, DevelopmentalGenomic ImprintingLeast-Squares AnalysisMaleMiceRegulatory Sequences, Nucleic Acid

Identifiers

PMID20663224
PMCPMC2926790
OpenAlexW2137150473

What OpenQuestion holds

Textmetadata
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.