Evidence map›Paper›PMID 29049012›Full record

ArticleOmics : a journal of integrative biology2017

Transcriptome Profiling Uncovers Potential Common Mechanisms in Fetal Trisomies 18 and 21.

Marija Volk, Aleš Maver, Alenka Hodžić, Luca Lovrečić, Borut Peterlin

Open access · hybridAbstract read
In one paragraph

Article in Omics : a journal of integrative biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  4. Observational
  5. Article
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

5 authors at 1 institution in 1 country.

Marija VolkClinical Institute of Medical Genetics, University Medical Centre Ljubljana , Ljubljana, Slovenia .
Aleš MaverClinical Institute of Medical Genetics, University Medical Centre Ljubljana , Ljubljana, Slovenia .
Alenka HodžićClinical Institute of Medical Genetics, University Medical Centre Ljubljana , Ljubljana, Slovenia .
Luca LovrečićClinical Institute of Medical Genetics, University Medical Centre Ljubljana , Ljubljana, Slovenia .
Borut PeterlinClinical Institute of Medical Genetics, University Medical Centre Ljubljana , Ljubljana, Slovenia .
Ljubljana University Medical Centre · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human trisomies have recently been investigated using transcriptomics approaches to identify the gene expression (GE) signatures characteristic of each of these specific aneuploidy conditions. We hypothesized that the viability of cells with gross genomic imbalances might be associated with the activation of resilience mechanisms that are common to different trisomies and that are reflected by specific shared GE patterns. We report in this article our microarray GE analyses of amniocytes from fetuses with viable trisomy conditions, trisomy 21 or trisomy 18, to detect such common expression signatures. Comparative analysis of significantly differentially expressed genes in trisomies 18 and 21 revealed six dysregulated genes common to both: OTUD5, ADAMTSL1, TADA2A, PPID, PIAS2, and MAPRE2. These genes are involved in ubiquitination, protein folding, cell proliferation, and apoptosis. Pathway-based enrichment analyses demonstrated that both trisomies showed dysregulation of the PI3K/AKT pathway, cell cycle G2/M DNA damage checkpoint regulation, and cell death and survival, as well as inhibition of the upstream regulator TP53. Our data collectively suggest that trisomies 18 and 21 share common functional GE signatures, implying that common mechanisms of resilience might be activated in aneuploid cells to resist large genomic imbalances. To the best of our knowledge, this is the first study to use global GE profiling data to identify potential common mechanisms in fetal trisomies. Studies of other trisomies using transcriptomics and multiomics approaches might further clarify mechanisms activated in trisomy syndromes.

Indexed as

AneuploidyCells, CulturedDown SyndromeFetusGene Expression ProfilingHumansTranscription, GeneticTranscriptomeTrisomy 18 Syndromeaneuploidycell-cyclePI3K/AKTresilienceTP53transcriptomics

Identifiers

PMID29049012
PMCPMC5655413
OpenAlexW2767099807

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.