Literature DB >> 17635843

Genome-wide expression analysis of cultured trophoblast with trisomy 21 karyotype.

U Rozovski1, A Jonish-Grossman, A Bar-Shira, Y Ochshorn, M Goldstein, Y Yaron.   

Abstract

BACKGROUND: The pathologic features of Down syndrome are assumed to be the result of over-expression of genes located on chromosome 21 and/or a more global transcriptional misregulation that crosses chromosomal borders.
METHODS: To address this issue, four RNA samples from trisomy 21 placentas and four samples from normal first trimester pregnancies were analyzed using Affymetrix U95v2 microarray. Statistical and bioinformatic analyses were employed to compare global gene expression, functional classes, and pathways to differentiate between placentas taken from trisomy 21 and from normal pregnancies.
RESULTS: About 750 genes were significantly over-expressed in trisomy 21. This list contains an approximately 4.5-fold over-abundance of genes that map to chromosome 21, compared to that which could be expected for this chromosome, on the microarray. Among the classes of genes that best discriminated the trisomy 21 and normal karyotype, we found genes that are also implicated in Alzheimer disease and genes that are associated with ubiquitination and proteosomal degradation. Finally, using the top 10 most discriminating genes, eight samples taken from a different database were correctly classified as either trisomy 21 or normal.
CONCLUSIONS: Our results demonstrate that gene expression in trisomy 21 affected placentas significantly differs from that of chromosomally normal placentas, and this difference is only partially explained by over-expression of genes from chromosome 21. Our findings suggest that specific highly discriminatory genes may be potential targets for further research and development of novel prenatal diagnosis techniques.

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Mesh:

Year:  2007        PMID: 17635843     DOI: 10.1093/humrep/dem214

Source DB:  PubMed          Journal:  Hum Reprod        ISSN: 0268-1161            Impact factor:   6.918


  18 in total

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2.  Functional genomic analysis of amniotic fluid cell-free mRNA suggests that oxidative stress is significant in Down syndrome fetuses.

Authors:  Donna K Slonim; Keiko Koide; Kirby L Johnson; Umadevi Tantravahi; Janet M Cowan; Zina Jarrah; Diana W Bianchi
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3.  Placental transcriptomes in the common aneuploidies reveal critical regions on the trisomic chromosomes and genome-wide effects.

Authors:  Katherine Bianco; Matthew Gormley; Jason Farrell; Yan Zhou; Oliver Oliverio; Hannah Tilden; Michael McMaster; Susan J Fisher
Journal:  Prenat Diagn       Date:  2016-07-25       Impact factor: 3.050

4.  Spatial organization of chromosome territories in the interphase nucleus of trisomy 21 cells.

Authors:  Stephan Kemeny; Christophe Tatout; Gaelle Salaun; Céline Pebrel-Richard; Carole Goumy; Natasha Ollier; Eugenie Maurin; Bruno Pereira; Philippe Vago; Laetitia Gouas
Journal:  Chromosoma       Date:  2017-12-14       Impact factor: 4.316

5.  Altered DNA methylation in leukocytes with trisomy 21.

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Journal:  PLoS Genet       Date:  2010-11-18       Impact factor: 5.917

6.  A critical period in cortical interneuron neurogenesis in down syndrome revealed by human neural progenitor cells.

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Journal:  Dev Neurosci       Date:  2009-09-09       Impact factor: 2.984

7.  Non-trisomic homeobox gene expression during craniofacial development in the Ts65Dn mouse model of Down syndrome.

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8.  Gene expression profiling in a mouse model identifies fetal liver- and placenta-derived potential biomarkers for Down Syndrome screening.

Authors:  Jeroen L A Pennings; Wendy Rodenburg; Sandra Imholz; Maria P H Koster; Conny T M van Oostrom; Timo M Breit; Peter C J I Schielen; Annemieke de Vries
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9.  Discovery of novel serum biomarkers for prenatal Down syndrome screening by integrative data mining.

Authors:  Jeroen L A Pennings; Maria P H Koster; Wendy Rodenburg; Peter C J I Schielen; Annemieke de Vries
Journal:  PLoS One       Date:  2009-11-24       Impact factor: 3.240

10.  Global DNA hypermethylation in down syndrome placenta.

Authors:  Shengnan Jin; Yew Kok Lee; Yen Ching Lim; Zejun Zheng; Xueqin Michelle Lin; Desmond P Y Ng; Joanna D Holbrook; Hai Yang Law; Kenneth Y C Kwek; George S H Yeo; Chunming Ding
Journal:  PLoS Genet       Date:  2013-06-06       Impact factor: 5.917

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