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LTR-retrotransposon transcriptome modulation in response to endotoxin-induced stress in PBMCs

Overview of attention for article published in BMC Genomics, July 2018
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  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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Title
LTR-retrotransposon transcriptome modulation in response to endotoxin-induced stress in PBMCs
Published in
BMC Genomics, July 2018
DOI 10.1186/s12864-018-4901-9
Pubmed ID
Authors

Marine Mommert, Olivier Tabone, Guy Oriol, Elisabeth Cerrato, Audrey Guichard, Magali Naville, Paola Fournier, Jean-Nicolas Volff, Alexandre Pachot, Guillaume Monneret, Fabienne Venet, Karen Brengel-Pesce, Julien Textoris, François Mallet

Abstract

Human Endogenous Retroviruses (HERVs) and Mammalian apparent LTR-retrotransposons (MaLRs) represent the 8% of our genome and are distributed among our 46 chromosomes. These LTR-retrotransposons are thought to be essentially silent except in cancer, autoimmunity and placental development. Their Long Terminal Repeats (LTRs) constitute putative promoter or polyA regulatory sequences. In this study, we used a recently described high-density microarray which can be used to study HERV/MaLR transcriptome including 353,994 HERV/MaLR loci and 1559 immunity-related genes. We described, for the first time, the HERV transcriptome in peripheral blood mononuclear cells (PBMCs) using a cellular model mimicking inflammatory response and monocyte anergy observed after septic shock. About 5.6% of the HERV/MaLR repertoire is transcribed in PBMCs. Roughly one-tenth [5.7-13.1%] of LTRs exhibit a putative constitutive promoter or polyA function while one-quarter [19.5-27.6%] may shift from silent to active. Evidence was given that some HERVs/MaLRs and genes may share similar regulation control under lipopolysaccharide (LPS) stimulation conditions. Stimulus-dependent response confirms that HERV expression is tightly regulated in PBMCs. Altogether, these observations make it possible to integrate 62 HERVs/MaLRs and 26 genes in 11 canonical pathways and suggest a link between HERV expression and immune response. The transcriptional modulation of HERVs located close to genes such as OAS2/3 and IFI44/IFI44L or at a great distance from genes was discussed. This microarray-based approach revealed the expression of about 47,466 distinct HERV loci and identified 951 putative promoter LTRs and 744 putative polyA LTRs in PBMCs. HERV/MaLR expression was shown to be tightly modulated under several stimuli including high-dose and low-dose LPS and Interferon-γ (IFN-γ). HERV incorporation at the crossroads of immune response pathways paves the way for further functional studies and analyses of the HERV transcriptome in altered immune responses in vivo such as in sepsis.

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X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 19%
Other 3 12%
Student > Master 3 12%
Researcher 3 12%
Student > Ph. D. Student 3 12%
Other 3 12%
Unknown 6 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 31%
Biochemistry, Genetics and Molecular Biology 6 23%
Nursing and Health Professions 2 8%
Immunology and Microbiology 2 8%
Medicine and Dentistry 2 8%
Other 0 0%
Unknown 6 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 August 2018.
All research outputs
#7,514,969
of 23,094,276 outputs
Outputs from BMC Genomics
#3,595
of 10,705 outputs
Outputs of similar age
#128,451
of 327,553 outputs
Outputs of similar age from BMC Genomics
#72
of 217 outputs
Altmetric has tracked 23,094,276 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 10,705 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 66% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 327,553 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 217 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.