Evidence map›Paper›PMID 21553122›Full record

ReviewHuman genetics2011

X-chromosome inactivation: molecular mechanisms from the human perspective.

Christine Yang, Andrew G Chapman, Angela D Kelsey, Jakub Minks, Allison M Cotton, Carolyn J Brown

Abstract readReview
PubMed Publisher
In one paragraph

Review in Human genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

39 citing papers in PubMed, 96 citations in OpenAlex.

  1. Review
  2. Toward an NGF-based therapy for Rett syndrome.Frontiers in neuroscience · 2026
    Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Xist attenuates acute inflammatory response by female cells.Cellular and molecular life sciences : CMLS · 2021
    Article
  10. Long non-coding RNAs (lncRNAs) in spermatogenesis and male infertility.Reproductive biology and endocrinology : RB&E · 2020
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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

6 authors at 1 institution in 1 country.

Christine YangDepartment of Medical Genetics, Molecular Epigenetics Group, Life Sciences Institute, University of British Columbia, 2350 Health Sciences Mall, Vancouver, BC V6T 1Z3, Canada.
Andrew G Chapman
Angela D Kelsey
Jakub Minks
Allison M Cotton
Carolyn J Brown
University of British Columbia · CA

Funding

Canadian Institutes of Health Research MOP-13690
6 · The paper itself

Abstract

X-chromosome inactivation is an epigenetic process whereby one X chromosome is silenced in mammalian female cells. Since it was first proposed by Lyon in 1961, mouse models have been valuable tools to uncover the molecular mechanisms underlying X inactivation. However, there are also inherent differences between mouse and human X inactivation, ranging from sequence content of the X inactivation center to the phenotypic outcomes of X-chromosome abnormalities. X-linked gene dosage in males, females, and individuals with X aneuploidies and X/autosome translocations has demonstrated that many human genes escape X inactivation, implicating cis-regulatory elements in the spread of silencing. We discuss the potential nature of these elements and also review the elements in the X inactivation center involved in the early events in X-chromosome inactivation.

Indexed as

AneuploidyGene SilencingPhenotypeAnimalsEpigenesis, GeneticFemaleGene DosageHumansMaleMiceTranslocation, GeneticX Chromosome Inactivation

Identifiers

PMID21553122
OpenAlexW2078965217

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.