Literature DB >> 34014593

Time-dependent changes in placental mRNA expression after delivery due to delayed specimen collection.

Alexa A Freedman1,2, Britney P Smart2, Lauren S Keenan-Devlin3, Janedelie Romero2, Andrew Franklin4, Ann Borders3,5,6, Linda M Ernst7, Gregory E Miller1,8.   

Abstract

PROBLEM: Current scientific guidelines recommend collecting placental specimens within two hours of delivery for gene expression analysis. However, collecting samples in a narrow time window is a challenge in the dynamic and unpredictable clinical setting, so delays in placental specimen collection are possible. The purpose of our analysis was to investigate temporal changes in placental gene expression by longitudinally sampling placentas over a 24 h period. METHOD OF STUDY: Eight placentas from individuals with uncomplicated, term pregnancies delivered by scheduled cesarean section were collected and sampled following the placental delivery and again at 1, 2, 4, 6, and 24 h post-delivery. At each time point, biopsies of chorionic villous tissue were taken from 3 cotyledons to account for intra-placental heterogeneity. The 3 biopsies from each time point were pooled prior to RNA extraction. Expression of 382 mRNA transcripts was quantified using the NanoString nCounter System. Fold change values were calculated for each time point relative to delivery, and a fold change threshold of 1.25 was used to determine a meaningful change from delivery.
RESULTS: Based on a fold change threshold of 1.25, 84.3% of transcripts were stable for at least 1 h, 80.2% were stable for at least two hours, and 20.6% of transcripts were stable through the collection at 24 h.
CONCLUSION: Our results suggest that for some mRNA transcripts, expression changes as time to sample collection increases. We have developed a Web application to allow investigators to explore transcripts relevant to their research interests and to set appropriate thresholds to aid in determining whether placentas with delayed sample collection can be included in analyses (https://placentaexpression.foundationsofhealth.org/).
© 2021 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  gene expression; mRNA; placenta; specimen handling

Mesh:

Substances:

Year:  2021        PMID: 34014593      PMCID: PMC8464485          DOI: 10.1111/aji.13452

Source DB:  PubMed          Journal:  Am J Reprod Immunol        ISSN: 1046-7408            Impact factor:   3.777


  16 in total

1.  Banking placental tissue: an optimized collection procedure for genome-wide analysis of nucleic acids.

Authors:  L M Wolfe; R D Thiagarajan; F Boscolo; V Taché; R L Coleman; J Kim; W K Kwan; J F Loring; M Parast; L C Laurent
Journal:  Placenta       Date:  2014-06-06       Impact factor: 3.481

2.  qSVA framework for RNA quality correction in differential expression analysis.

Authors:  Andrew E Jaffe; Ran Tao; Alexis L Norris; Marc Kealhofer; Abhinav Nellore; Joo Heon Shin; Dewey Kim; Yankai Jia; Thomas M Hyde; Joel E Kleinman; Richard E Straub; Jeffrey T Leek; Daniel R Weinberger
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-20       Impact factor: 11.205

3.  The correlation between sampling site and gene expression in the term human placenta.

Authors:  S M Wyatt; F T Kraus; C-R Roh; U Elchalal; D M Nelson; Y Sadovsky
Journal:  Placenta       Date:  2005-05       Impact factor: 3.481

4.  Hypoxia induces myocyte-dependent COX-2 regulation in endothelial cells: role of VEGF.

Authors:  Guifu Wu; Arjuna P Mannam; Jiaping Wu; Simona Kirbis; Jue-Lon Shie; Christopher Chen; Roger J Laham; Frank W Sellke; Jian Li
Journal:  Am J Physiol Heart Circ Physiol       Date:  2003-07-24       Impact factor: 4.733

5.  Optimising sample collection for placental research.

Authors:  G J Burton; N J Sebire; L Myatt; D Tannetta; Y-L Wang; Y Sadovsky; A C Staff; C W Redman
Journal:  Placenta       Date:  2013-11-19       Impact factor: 3.481

6.  Patterns of placental development evaluated by X chromosome inactivation profiling provide a basis to evaluate the origin of epigenetic variation.

Authors:  M S Peñaherrera; R Jiang; L Avila; R K C Yuen; C J Brown; W P Robinson
Journal:  Hum Reprod       Date:  2012-03-19       Impact factor: 6.918

7.  Functional Heatmap: an automated and interactive pattern recognition tool to integrate time with multi-omics assays.

Authors:  Joshua R Williams; Ruoting Yang; John L Clifford; Daniel Watson; Ross Campbell; Derese Getnet; Raina Kumar; Rasha Hammamieh; Marti Jett
Journal:  BMC Bioinformatics       Date:  2019-02-15       Impact factor: 3.169

8.  Time course analysis of RNA stability in human placenta.

Authors:  Isabelle Fajardy; Emmanuelle Moitrot; Anne Vambergue; Maryse Vandersippe-Millot; Philippe Deruelle; Jean Rousseaux
Journal:  BMC Mol Biol       Date:  2009-03-10       Impact factor: 2.946

9.  Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes.

Authors:  Jo Vandesompele; Katleen De Preter; Filip Pattyn; Bruce Poppe; Nadine Van Roy; Anne De Paepe; Frank Speleman
Journal:  Genome Biol       Date:  2002-06-18       Impact factor: 13.583

10.  RNA-seq: impact of RNA degradation on transcript quantification.

Authors:  Irene Gallego Romero; Athma A Pai; Jenny Tung; Yoav Gilad
Journal:  BMC Biol       Date:  2014-05-30       Impact factor: 7.431

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.