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Series GSE55438 Query DataSets for GSE55438
Status Public on Jun 09, 2014
Title Banking Placental Tissue: An Optimized Collection Procedure for Genome-Wide Analysis of Nucleic Acids [methylation]
Organism Homo sapiens
Experiment type Methylation profiling by genome tiling array
Summary Banking of high-quality placental tissue specimens will enable biomarker discovery and molecular studies on diseases involving placental dysfunction. Systematic studies aimed at developing feasible standardized methodology for placental collection for genomic analyses are lacking. To determine the acceptable timeframe for placental collection, we collected multiple samples from first and third trimester placentas at serial time points 0-120 minutes after delivery, simultaneously comparing the traditional snap-freeze technique to collection in commercial solutions designed to preserve RNA (RNAlaterTM, Ambion), and DNA (DNAgardĀ®, Biomatrica). The performance of RNAlater for preserving DNA was also tested. Nucleic acid quality was assessed by determining the RNA integrity number (RIN) and genome-wide expression and DNA methylation microarray profiling. We found that samples collected in RNAlater had higher and more consistent RINs compared to snap frozen tissue, with similar RINs obtained for tissue collected in RNAlater as large (1 cm3) and small (~0.1 cm3) tissue pieces. RNAlater appeared to better stabilize the time zero gene expression pattern compared to snap freezing for first trimester placenta. Microarray DNA methylation analysis showed that overall the DNA methylation profiles remained quite stable over a two hour time period after removal of the placenta from the uterus, with the DNAgard condition being superior to both snap freezing and RNAlater. The collection of placental samples in RNAlater and DNAgard is simple, and eliminates the need for liquid nitrogen or a freezer on-site. Moreover, the quality of the nucleic acids and the resulting data from samples collected in these preservation solutions is actually higher than that from samples collected using the traditional snap-freeze method. Thus, this new approach to placental sample collection is both easier to implement in busy clinical environments and yields higher quality data.
48 samples
 
Overall design In this study, our objective was to identify the optimal timing and mode of collection for nucleic acids of sufficient quality to perform genome-wide RNA gene expression and DNA methylation studies for downstream molecular and functional enrichment analysis. To do this, we evaluated three different placenta collection methods: snap freezing in liquid nitrogen, RNAlaterTM, and DNAgard, over a two-hour window upon removal from the uterus, to determine: 1) the optimal collection method(s) for evaluation of mRNA expression and DNA methylation; and 2) the time period after delivery during which such optimal samples should be collected.
 
Contributor(s) Wolfe LM, Thagarajan RD, Boscolo F, Tache V, Coleman R, Kim J, Kwan WK, Loring JF, Parast M, Laurent LC
Citation(s) 24951174
Submission date Feb 27, 2014
Last update date Mar 22, 2019
Contact name Rathi D Thiagarajan
E-mail(s) rthiagarajan@ucsd.edu
Organization name UCSD
Department Reproductive Medicine
Lab Louise Laurent
Street address 2880 Torrey Pines Scenic Drive
City La Jolla
State/province CA
ZIP/Postal code 92037
Country USA
 
Platforms (1)
GPL13534 Illumina HumanMethylation450 BeadChip (HumanMethylation450_15017482)
Samples (48)
GSM1336745 Placenta_3.1_SF_M0_1
GSM1336746 Placenta_3.1_SF_M0_2
GSM1336747 Placenta_3.1_SF_M0_3
This SubSeries is part of SuperSeries:
GSE55440 Banking Placental Tissue: An Optimized Collection Procedure for Genome-Wide Analysis of Nucleic Acids
Relations
BioProject PRJNA239586

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
GSE55438_RAW.tar 183.1 Mb (http)(custom) TAR
GSE55438_non_normalized.txt.gz 179.3 Mb (ftp)(http) TXT
Processed data included within Sample table

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