↓ Skip to main content

Donor age and C1orf132/MIR29B2C determine age-related methylation signature of blood after allogeneic hematopoietic stem cell transplantation

Overview of attention for article published in Clinical Epigenetics, January 2016
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
23 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Donor age and C1orf132/MIR29B2C determine age-related methylation signature of blood after allogeneic hematopoietic stem cell transplantation
Published in
Clinical Epigenetics, January 2016
DOI 10.1186/s13148-016-0257-7
Pubmed ID
Authors

Magdalena Spólnicka, Magdalena Spólnicka, Renata Zbieć Piekarska, Emilia Jaskuła, Grzegorz W. Basak, Renata Jacewicz, Agnieszka Pięta, Żanetta Makowska, Maciej Jedrzejczyk, Agnieszka Wierzbowska, Agnieszka Pluta, Tadeusz Robak, Jarosław Berent, Wojciech Branicki, Wiesław Jędrzejczak, Andrzej Lange, Rafał Płoski

Abstract

Our recent study demonstrated that DNA methylation status in a set of CpGs located in ELOVL2, C1orf132, TRIM59, KLF14, and FHL2 can accurately predict calendar age in blood. In the present work, we used these markers to evaluate the effect of allogeneic hematopoietic stem cell transplantation (HSCT) on the age-related methylation signature of human blood. DNA methylation in 32 CpGs was investigated in 16 donor-recipient pairs using pyrosequencing. DNA was isolated from the whole blood collected from recipients 27-360 days (mean 126) after HSCT and from the donors shortly before the HSCT. It was found that in the recipients, the predicted age did not correlate with their calendar age but was correlated with the calendar age (r = 0.94, p = 4 × 10(-8)) and predicted age (r = 0.97, p = 5 × 10(-10)) of a respective donor. Despite this strong correlation, the predicted age of a recipient was consistently lower than the predicted age of a donor by 3.7 years (p = 7.8 × 10(-4)). This shift was caused by hypermethylation of the C1orf132 CpGs, for C1orf132 CpG_1. Intriguingly, the recipient-donor methylation difference correlated with calendar age of the donor (r = 0.76, p = 6 × 10(-4)). This finding could not trivially be explained by shifts of the major cellular factions of blood. We confirm the single previous report that after HSCT, the age of the donor is the major determinant of age-specific methylation signature in recipient's blood. A novel finding is the unique methylation dynamics of C1orf132 which encodes MIR29B2C implicated in the self-renewing of hematopoietic stem cells. This observation suggests that C1orf132 could influence graft function after HSCT.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 17%
Student > Doctoral Student 3 13%
Student > Bachelor 2 9%
Professor > Associate Professor 2 9%
Researcher 2 9%
Other 2 9%
Unknown 8 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 22%
Medicine and Dentistry 5 22%
Agricultural and Biological Sciences 2 9%
Immunology and Microbiology 1 4%
Nursing and Health Professions 1 4%
Other 1 4%
Unknown 8 35%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 September 2016.
All research outputs
#7,208,047
of 8,336,644 outputs
Outputs from Clinical Epigenetics
#396
of 429 outputs
Outputs of similar age
#210,791
of 252,325 outputs
Outputs of similar age from Clinical Epigenetics
#29
of 29 outputs
Altmetric has tracked 8,336,644 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 429 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 252,325 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.