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Series GSE24818 Query DataSets for GSE24818
Status Public on Oct 21, 2011
Title Molecular markers of predictive value associated with low birth weight
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Sub-optimal fetal development is associated with an increased risk of developing cardiovascular disease, type 2 diabetes (T2D) and adiposity later in life. However, definitions of intrauterine growth restriction (IUGR) and small for gestational age (SGA) are based on simple statistical approaches that may misclassify infants with a normal developmental profile and vice versa. We used an unbiased global profiling approach to identify gene expression patterns in umbilical cord tissue from 38 infants and identified a set of 466 genes which separated the subjects into 2 distinct groups – one biased towards lower birth weight and one biased towards normal birth weight. The data suggest that approximately 30% of children of normal size have a molecular profile more typical of impaired fetal development and who may be on a programmed trajectory. Differences in expression between the two groups encompassed 384 upregulated and 82 downregulated genes. Molecular profiling at birth may have utility in identifying markers that potentially reflect antenatal developmental and may be predictive of future phenotypic development after birth. Importantly, it may provide an alternative to the current classification of infants using birth weights.
 
Overall design RNA from umbilical cord tissue from full term neonates was extracted and hybridized. Separation into 2 distinct groups, independent of birth weight, but based solely on gene expression levels was analysed by Genespring. After appropriate statistical analysis, one group was keenly associated with a higher birth weight (22 samples) while the other was associated with a lower birth-weight (18 samples). Technical replicates were included for all 40 samples.
 
Contributor(s) Tng E, Gluckman PD, Goh SK, Chan YH, Kwek K, Chong YS, Sheppard AM
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Submission date Oct 20, 2010
Last update date Jan 23, 2019
Contact name Emilia Tng
Organization name Singapore Institute for Clinical Sciences
Street address 30 Medical Drive
City Singapore
ZIP/Postal code 117609
Country Singapore
 
Platforms (1)
GPL6480 Agilent-014850 Whole Human Genome Microarray 4x44K G4112F (Probe Name version)
Samples (40)
GSM610886 umbilical_cord_normal_multip_female_sample_11
GSM610887 umbilical_cord_normal_multip_female_sample_14
GSM610888 umbilical_cord_normal_primip_female_sample_1
Relations
BioProject PRJNA132197

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE24818_RAW.tar 172.4 Mb (http)(custom) TAR (of TXT)
Processed data included within Sample table

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