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Integration of maternal genome into the neonate genome through breast milk mRNA transcripts and reverse transcriptase

Overview of attention for article published in Theoretical Biology and Medical Modelling, June 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#12 of 288)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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33 X users
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38 Facebook pages

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23 Dimensions

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70 Mendeley
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Title
Integration of maternal genome into the neonate genome through breast milk mRNA transcripts and reverse transcriptase
Published in
Theoretical Biology and Medical Modelling, June 2012
DOI 10.1186/1742-4682-9-20
Pubmed ID
Authors

M Kemal Irmak, Yesim Oztas, Emin Oztas

Abstract

Human milk samples contain microvesicles similar to the retroviruses. These microvesicles contain mRNA transcripts and possess reverse transcriptase activity. They contain about 14,000 transcripts representing the milk transcriptome. Microvesicles are also enriched with proteins related to "caveolar-mediated endocytosis signaling" pathway. It has recently been reported that microvesicles could be transferred to other cells by endocytosis and their RNA content can be translated and be functional in their new location. A significant percentage of the mammalian genome appears to be the product of reverse transcription, containing sequences whose characteristics point to RNA as a template precursor. These are mobile elements that move by way of transposition and are called retrotransposons. We thought that retrotransposons may stem from about 14,000 transcriptome of breast milk microvesicles, and reviewed the literature.The enhanced acceptance of maternal allografts in children who were breast-fed and tolerance to the maternal MHC antigens after breastfeeding may stem from RNAs of the breast milk microvesicles that can be taken up by the breastfed infant and receiving maternal genomic information. We conclude that milk microvesicles may transfer genetic signals from mother to neonate during breastfeeding. Moreover, transfer of wild type RNA from a healthy wet-nurse to the suckling neonate through the milk microvesicles and its subsequent reverse transcription and integration into the neonate genome could result in permanent correction of the clinical manifestations in genetic diseases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 33 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 3%
France 1 1%
Indonesia 1 1%
Canada 1 1%
United States 1 1%
Unknown 64 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 19%
Student > Ph. D. Student 12 17%
Student > Bachelor 9 13%
Student > Master 7 10%
Other 5 7%
Other 11 16%
Unknown 13 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 34%
Medicine and Dentistry 16 23%
Biochemistry, Genetics and Molecular Biology 6 9%
Nursing and Health Professions 4 6%
Social Sciences 2 3%
Other 4 6%
Unknown 14 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 03 February 2024.
All research outputs
#1,129,407
of 25,630,321 outputs
Outputs from Theoretical Biology and Medical Modelling
#12
of 288 outputs
Outputs of similar age
#5,942
of 181,233 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#1
of 8 outputs
Altmetric has tracked 25,630,321 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 288 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done particularly well, scoring higher than 95% 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 181,233 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them