Evidence map›Paper›PMID 27328057›Full record

ArticlePrenatal diagnosis2016

Placental transcriptomes in the common aneuploidies reveal critical regions on the trisomic chromosomes and genome-wide effects.

Katherine Bianco, Matthew Gormley, Jason Farrell, Yan Zhou, Oliver Oliverio, Hannah Tilden, Michael McMaster, Susan J Fisher

Open access · greenAbstract read
In one paragraph

Article in Prenatal diagnosis, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
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  4. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Katherine BiancoDivision of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, CA, USA.
Matthew GormleyDivision of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, CA, USA.
Jason FarrellDivision of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, CA, USA.
Yan ZhouDivision of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, CA, USA.
Oliver OliverioDivision of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, CA, USA.
Hannah TildenDivision of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, CA, USA.
Michael McMasterDepartment of Cell and Tissue Biology, University of California, San Francisco, CA, USA.
Susan J FisherDivision of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, CA, USA. sfisher@cgl.ucsf.edu.
Broad Center · USUniversity of California, San Francisco · USCell and Tissue Systems (United States) · USReproductive Science Center · USStanford University · US

Funding

REPRODUCTIVE SCIENTIST TRAINING PROGRAMK12HD000849 · NICHD · WASHINGTON UNIVERSITY · PI Danny J Schust · 1988 to 2026
$33.2M
Project 4: Human Endometrial Programming for Successful ImplantationP50HD055764 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GIUDICE, LINDA C · 2014 to 2022
$16.4M
Trophoblast Differentiation in In Vivo and In Vitro Fertilized EmbryosU54HD055764 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI TRAN, NAM D · 2007 to 2013
$11.5M
The Genomic and Functional Consequences of Trophoblast AneuploidyK08HD069518 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BIANCO, Y KATHERINE · 2011 to 2013
$382k
NICHD NIH HHS K08 HD069518NICHD NIH HHS K12 HD000849NICHD NIH HHS P50 HD055764NICHD NIH HHS U54 HD055764
6 · The paper itself

Abstract

objectiveChromosomal aberrations are frequently associated with birth defects and pregnancy losses. Trisomy 13, Trisomy 18 and Trisomy 21 are the most common, clinically relevant fetal aneusomies. This study used a transcriptomics approach to identify the molecular signatures at the maternal-fetal interface in each aneuploidy.

methodsWe profiled placental gene expression (13-22 weeks) in T13 (n = 4), T18 (n = 4) and T21 (n = 8), and in euploid pregnancies (n = 4).

resultsWe found differentially expressed transcripts (≥2-fold) in T21 (n = 160), T18 (n = 80) and T13 (n = 125). The majority were upregulated and most of the misexpressed genes were not located on the relevant trisomic chromosome, suggesting genome-wide dysregulation. A smaller number of the differentially expressed transcripts were encoded on the trisomic chromosome, suggesting gene dosage. In T21, <10% of the genes were transcribed from the Down syndrome critical region (21q21-22), which contributes to the clinical phenotype. In T13, 15% of the upregulated genes were on the affected chromosome (13q11-14), and in T18, the percentage increased to 24% (18q11-22 region).

conclusionThe trisomic placental (and possibly fetal) phenotypes are driven by the combined effects of genome-wide phenomena and increased gene dosage from the trisomic chromosome. © 2016 John Wiley & Sons, Ltd.

Indexed as

Chromosome DisordersChromosomes, Human, Pair 13Chromosomes, Human, Pair 18Down SyndromeFemaleGene DosageGene Expression ProfilingHumansOligonucleotide Array Sequence AnalysisPregnancyTranscriptomeTrisomyTrisomy 13 SyndromeTrisomy 18 Syndrome

Identifiers

PMID27328057
PMCPMC5104283
OpenAlexW2474852215

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.