Literature DB >> 24852236

RNA-Seq and expression microarray highlight different aspects of the fetal amniotic fluid transcriptome.

Lillian M Zwemer1, Lisa Hui, Heather C Wick, Diana W Bianchi.   

Abstract

OBJECTIVE: The aim of this study was to compare the complexity of the amniotic fluid supernatant cell-free fetal transcriptome as described by RNA Sequencing (RNA-Seq) and gene expression microarrays.
METHODS: Cell-free fetal RNA from the amniotic fluid supernatant of five euploid mid-trimester samples was divided and prepared in tandem for analysis by either the Affymetrix HG-U133 Plus 2.0 Gene Chip microarray or Illumina HiSeq. Transcriptomes were assembled and compared on the basis of the presence of signal, rank-order gene expression, and pathway enrichment using Ingenuity Pathway Analysis (IPA). RNA-Seq data were also examined for evidence of alternative splicing.
RESULTS: Within individual samples, gene expression was strongly correlated (R = 0.43-0.57). Fewer expressed genes were observed using RNA-Seq than gene expression microarrays (4158 vs 8842). Most of the top pathways in the 'Physiological Systems Development and Function' IPA category were shared between platforms, although RNA-Seq yielded more significant p-values. Using RNA-Seq, examples of known alternative splicing were detected in several genes including H19 and IGF2.
CONCLUSIONS: In this pilot study, we found that expression microarrays gave a broader view of overall gene expression, while RNA-Seq demonstrated alternative splicing and specific pathways relevant to the developing fetus. The degraded nature of cell-free fetal RNA presented technical challenges for the RNA-Seq approach.
© 2014 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Year:  2014        PMID: 24852236      PMCID: PMC4184931          DOI: 10.1002/pd.4417

Source DB:  PubMed          Journal:  Prenat Diagn        ISSN: 0197-3851            Impact factor:   3.050


  23 in total

1.  Gene Expression Omnibus: NCBI gene expression and hybridization array data repository.

Authors:  Ron Edgar; Michael Domrachev; Alex E Lash
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

2.  Novel RBPJ transcripts identified in human amniotic fluid cells.

Authors:  Anna Jezierski; Dao Ly; Brandon Smith; Cathie Smith; Roger Tremblay; Andrée Gruslin; Marianna Sikorska; Mahmud Bani-Yaghoub
Journal:  Stem Cell Rev Rep       Date:  2010-12       Impact factor: 5.739

3.  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
Journal:  Proc Natl Acad Sci U S A       Date:  2009-05-27       Impact factor: 11.205

4.  Global gene expression analysis of the living human fetus using cell-free messenger RNA in amniotic fluid.

Authors:  Paige B Larrabee; Kirby L Johnson; Chaoqiang Lai; Jose Ordovas; Janet M Cowan; Umadevi Tantravahi; Diana W Bianchi
Journal:  JAMA       Date:  2005-02-16       Impact factor: 56.272

5.  RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays.

Authors:  John C Marioni; Christopher E Mason; Shrikant M Mane; Matthew Stephens; Yoav Gilad
Journal:  Genome Res       Date:  2008-06-11       Impact factor: 9.043

6.  Mapping and quantifying mammalian transcriptomes by RNA-Seq.

Authors:  Ali Mortazavi; Brian A Williams; Kenneth McCue; Lorian Schaeffer; Barbara Wold
Journal:  Nat Methods       Date:  2008-05-30       Impact factor: 28.547

7.  Global gene expression analysis of amniotic fluid cell-free RNA from recipient twins with twin-twin transfusion syndrome.

Authors:  Lisa Hui; Heather C Wick; Kenneth J Moise; Anthony Johnson; Francois Luks; Sina Haeri; Kirby L Johnson; Diana W Bianchi
Journal:  Prenat Diagn       Date:  2013-06-04       Impact factor: 3.050

8.  A comparison of RNA-Seq and high-density exon array for detecting differential gene expression between closely related species.

Authors:  Song Liu; Lan Lin; Peng Jiang; Dan Wang; Yi Xing
Journal:  Nucleic Acids Res       Date:  2010-09-22       Impact factor: 16.971

9.  Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation.

Authors:  Cole Trapnell; Brian A Williams; Geo Pertea; Ali Mortazavi; Gordon Kwan; Marijke J van Baren; Steven L Salzberg; Barbara J Wold; Lior Pachter
Journal:  Nat Biotechnol       Date:  2010-05-02       Impact factor: 54.908

10.  Imprinting of IGF2 P0 transcript and novel alternatively spliced INS-IGF2 isoforms show differences between mouse and human.

Authors:  D Monk; R Sanches; P Arnaud; S Apostolidou; F A Hills; S Abu-Amero; A Murrell; H Friess; W Reik; P Stanier; M Constância; G E Moore
Journal:  Hum Mol Genet       Date:  2006-03-10       Impact factor: 6.150

View more
  10 in total

Review 1.  The amniotic fluid transcriptome as a guide to understanding fetal disease.

Authors:  Lillian M Zwemer; Diana W Bianchi
Journal:  Cold Spring Harb Perspect Med       Date:  2015-02-13       Impact factor: 6.915

Review 2.  Extracellular RNA in aging.

Authors:  Douglas F Dluzen; Nicole Noren Hooten; Michele K Evans
Journal:  Wiley Interdiscip Rev RNA       Date:  2016-08-17       Impact factor: 9.957

3.  RNA-Seq of amniotic fluid cell-free RNA: a discovery phase study of the pathophysiology of congenital cytomegalovirus infection.

Authors:  Lisa Hui; Luc De Catte; Sally Beard; Jovana Maksimovic; Neeta L Vora; Alicia Oshlack; Susan P Walker; Natalie J Hannan
Journal:  Am J Obstet Gynecol       Date:  2022-05-21       Impact factor: 10.693

4.  Amniotic fluid transcriptomics reflects novel disease mechanisms in fetuses with myelomeningocele.

Authors:  Tomo Tarui; Aimee Kim; Alan Flake; Lauren McClain; John D Stratigis; Inbar Fried; Rebecca Newman; Donna K Slonim; Diana W Bianchi
Journal:  Am J Obstet Gynecol       Date:  2017-07-20       Impact factor: 10.693

5.  Transcriptomic Analysis of Cell-free Fetal RNA in the Amniotic Fluid of Vervet Monkeys (Chlorocebus sabaeus).

Authors:  Anna J Jasinska; Dalar Rostamian; Ashley T Davis; Kylie Kavanagh
Journal:  Comp Med       Date:  2020-01-22       Impact factor: 0.982

6.  A RNA-Seq Analysis of the Rat Supraoptic Nucleus Transcriptome: Effects of Salt Loading on Gene Expression.

Authors:  Kory R Johnson; C C T Hindmarch; Yasmmyn D Salinas; YiJun Shi; Michael Greenwood; See Ziau Hoe; David Murphy; Harold Gainer
Journal:  PLoS One       Date:  2015-04-21       Impact factor: 3.240

7.  Targeted expression profiling by RNA-Seq improves detection of cellular dynamics during pregnancy and identifies a role for T cells in term parturition.

Authors:  Adi L Tarca; Roberto Romero; Zhonghui Xu; Nardhy Gomez-Lopez; Offer Erez; Chaur-Dong Hsu; Sonia S Hassan; Vincent J Carey
Journal:  Sci Rep       Date:  2019-01-29       Impact factor: 4.379

Review 8.  Next-generation sequencing and prenatal 'omics: advanced diagnostics and new insights into human development.

Authors:  Neeta L Vora; Lisa Hui
Journal:  Genet Med       Date:  2018-07-22       Impact factor: 8.822

9.  Systems biology evaluation of cell-free amniotic fluid transcriptome of term and preterm infants to detect fetal maturity.

Authors:  Beena D Kamath-Rayne; Yina Du; Maria Hughes; Erin A Wagner; Louis J Muglia; Emily A DeFranco; Jeffrey A Whitsett; Nathan Salomonis; Yan Xu
Journal:  BMC Med Genomics       Date:  2015-10-22       Impact factor: 3.063

Review 10.  The Amniotic Fluid Cell-Free Transcriptome Provides Novel Information about Fetal Development and Placental Cellular Dynamics.

Authors:  Hee Jin Park; Hee Young Cho; Dong Hyun Cha
Journal:  Int J Mol Sci       Date:  2021-03-05       Impact factor: 5.923

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.