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Series GSE56899 Query DataSets for GSE56899
Status Public on Apr 18, 2014
Title Microarray Data of cell-free RNA across pregnancy time course
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Circulating cell-free RNA in the blood provides a potential window into the health, phenotype, and developmental programs of a variety of human organs. We employed high throughput methods of RNA analysis such as microarrays and next-generation sequencing to characterize the global landscape circulating RNA in a cohort of human subjects. By focusing on genes whose expression is highly specific to certain tissues, we were able to identify the relative contributions of these tissues to circulating RNA, and to monitor changes in tissue development and health.
As one such application of this approach, we performed a longitudinal study on pregnant women and analyzed their combined cell-free RNA transcriptomes across all three trimesters of pregnancy and after delivery. In addition to the presence of messenger RNA, we observed and characterized non-coding species such as long non-coding RNA and circular RNA transcripts whose presence had not been previously observed in human plasma. We demonstrate that it is possible to track specific longitudinal phenotypic changes in both the mother and the fetus, and that it is possible to directly measure transcripts from a variety of fetal tissues in the maternal blood sample. We also studied the role of neuron specific transcripts in the blood of healthy adults and those suffering from the neurodegenerative disorder Alzheimer’s disease, and showed that disease specific neural transcripts are present at increased levels in the blood of affected patients. Characterization of the cell-free transcriptome in its entirety may thus provide broad insights into human health and development without the need for invasive tissue sampling.
 
Overall design Cell-free RNA are extracted from pregnant women on the first, second and third trimester and immediately post-partum. Temporal trends are extracted from individual patients.
 
Contributor(s) Koh W, Pan W, Gawad C, Fan HC, Kerchner GA, Wyss-Coray T, Blumenfeld YJ, El-Sayed YY, Quake SR
Citation(s) 24799715
Submission date Apr 17, 2014
Last update date Jul 26, 2018
Contact name Stephen Quake
Organization name Stanford University
Department Bioengineering Dept
Lab Quake Lab
Street address 318 Campus Drive, E300
City Stanford
State/province CA
ZIP/Postal code 94305
Country USA
 
Platforms (1)
GPL6244 [HuGene-1_0-st] Affymetrix Human Gene 1.0 ST Array [transcript (gene) version]
Samples (48)
GSM1370862 subject 02 at Trimester 1
GSM1370863 subject 02 at Trimester 2
GSM1370864 subject 02 at Trimester 3
Relations
BioProject PRJNA244881

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

Supplementary file Size Download File type/resource
GSE56899_RAW.tar 178.0 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table

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