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Transcriptomic profiles of aging in purified human immune cells

Overview of attention for article published in BMC Genomics, April 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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1 blog
twitter
3 X users
patent
1 patent

Citations

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58 Dimensions

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89 Mendeley
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Title
Transcriptomic profiles of aging in purified human immune cells
Published in
BMC Genomics, April 2015
DOI 10.1186/s12864-015-1522-4
Pubmed ID
Authors

Lindsay M Reynolds, Jingzhong Ding, Jackson R Taylor, Kurt Lohman, Nicola Soranzo, Alberto de la Fuente, Tie Fu Liu, Craig Johnson, R Graham Barr, Thomas C Register, Kathleen M Donohue, Monica V Talor, Daniela Cihakova, Charles Gu, Jasmin Divers, David Siscovick, Gregory Burke, Wendy Post, Steven Shea, David R Jacobs, Ina Hoeschele, Charles E McCall, Stephen B Kritchevsky, David Herrington, Russell P Tracy, Yongmei Liu

Abstract

Transcriptomic studies hold great potential towards understanding the human aging process. Previous transcriptomic studies have identified many genes with age-associated expression levels; however, small samples sizes and mixed cell types often make these results difficult to interpret. Using transcriptomic profiles in CD14+ monocytes from 1,264 participants of the Multi-Ethnic Study of Atherosclerosis (aged 55-94 years), we identified 2,704 genes differentially expressed with chronological age (false discovery rate, FDR ≤ 0.001). We further identified six networks of co-expressed genes that included prominent genes from three pathways: protein synthesis (particularly mitochondrial ribosomal genes), oxidative phosphorylation, and autophagy, with expression patterns suggesting these pathways decline with age. Expression of several chromatin remodeler and transcriptional modifier genes strongly correlated with expression of oxidative phosphorylation and ribosomal protein synthesis genes. 17% of genes with age-associated expression harbored CpG sites whose degree of methylation significantly mediated the relationship between age and gene expression (p < 0.05). Lastly, 15 genes with age-associated expression were also associated (FDR ≤ 0.01) with pulse pressure independent of chronological age. Comparing transcriptomic profiles of CD14+ monocytes to CD4+ T cells from a subset (n = 423) of the population, we identified 30 age-associated (FDR < 0.01) genes in common, while larger sets of differentially expressed genes were unique to either T cells (188 genes) or monocytes (383 genes). At the pathway level, a decline in ribosomal protein synthesis machinery gene expression with age was detectable in both cell types. An overall decline in expression of ribosomal protein synthesis genes with age was detected in CD14+ monocytes and CD4+ T cells, demonstrating that some patterns of aging are likely shared between different cell types. Our findings also support cell-specific effects of age on gene expression, illustrating the importance of using purified cell samples for future transcriptomic studies. Longitudinal work is required to establish the relationship between identified age-associated genes/pathways and aging-related diseases.

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X Demographics

The data shown below were collected from the profiles of 3 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
United States 1 1%
Sweden 1 1%
Singapore 1 1%
Unknown 84 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 22%
Student > Ph. D. Student 13 15%
Student > Master 8 9%
Professor > Associate Professor 7 8%
Student > Doctoral Student 6 7%
Other 18 20%
Unknown 17 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 19%
Biochemistry, Genetics and Molecular Biology 16 18%
Medicine and Dentistry 16 18%
Immunology and Microbiology 5 6%
Neuroscience 3 3%
Other 9 10%
Unknown 23 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 15 January 2023.
All research outputs
#2,807,169
of 24,077,666 outputs
Outputs from BMC Genomics
#889
of 10,893 outputs
Outputs of similar age
#35,814
of 269,370 outputs
Outputs of similar age from BMC Genomics
#22
of 268 outputs
Altmetric has tracked 24,077,666 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,893 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 91% 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 269,370 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 268 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.