Literature DB >> 9077434

Random and imprinted monoallelic expression.

D Watanabe1, D P Barlow.   

Abstract

This review has surveyed the current literature on random and imprinted monoallelic expression from the unusual perspective of considering that these two forms of monoallelic expression (MAE) may be regulated by similar mechanisms. The true extent of genes which show MAE is not yet known. Imprinted MAE is thought to involve 0.1-0.2% of mammalian genes, while the number of genes in the random MAE category cannot at present be predicted since very few genes have been examined with assays that distinguish parental transcripts in single cells. The perspective adopted in this review is speculative since only one gene (XIST) is known which displays both random and imprinted MAE. However, a recent report that H19 may also show random allelic expression, suggests that MAE should be further investigated as a gene regulation mechanism in mammals.

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Year:  1996        PMID: 9077434     DOI: 10.1046/j.1365-2443.1996.d01-276.x

Source DB:  PubMed          Journal:  Genes Cells        ISSN: 1356-9597            Impact factor:   1.891


  4 in total

1.  Random monoallelic expression of three genes clustered within 60 kb of mouse t complex genomic DNA.

Authors:  Y Sano; T Shimada; H Nakashima; R H Nicholson; J F Eliason; T A Kocarek; M S Ko
Journal:  Genome Res       Date:  2001-11       Impact factor: 9.043

2.  Screening for imprinted genes by allelic message display: identification of a paternally expressed gene impact on mouse chromosome 18.

Authors:  Y Hagiwara; M Hirai; K Nishiyama; I Kanazawa; T Ueda; Y Sakaki; T Ito
Journal:  Proc Natl Acad Sci U S A       Date:  1997-08-19       Impact factor: 11.205

3.  Spatial allelic imbalance of BCL2 genes and chromosome 18 territories in nonneoplastic and neoplastic cervical squamous epithelium.

Authors:  Thorsten Wiech; Stefan Stein; Victoria Lachenmaier; Eberhard Schmitt; Jutta Schwarz-Finsterle; Elisabeth Wiech; Georg Hildenbrand; Martin Werner; Michael Hausmann
Journal:  Eur Biophys J       Date:  2009-06-03       Impact factor: 1.733

4.  dsPIG: a tool to predict imprinted genes from the deep sequencing of whole transcriptomes.

Authors:  Hua Li; Xiao Su; Juan Gallegos; Yue Lu; Yuan Ji; Jeffrey J Molldrem; Shoudan Liang
Journal:  BMC Bioinformatics       Date:  2012-10-19       Impact factor: 3.169

  4 in total

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