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A comprehensive joint analysis of the long and short RNA transcriptomes of human erythrocytes

Overview of attention for article published in BMC Genomics, November 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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8 X users

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Title
A comprehensive joint analysis of the long and short RNA transcriptomes of human erythrocytes
Published in
BMC Genomics, November 2015
DOI 10.1186/s12864-015-2156-2
Pubmed ID
Authors

Jennifer F. Doss, David L. Corcoran, Dereje D. Jima, Marilyn J. Telen, Sandeep S. Dave, Jen-Tsan Chi

Abstract

Human erythrocytes are terminally differentiated, anucleate cells long thought to lack RNAs. However, previous studies have shown the persistence of many small-sized RNAs in erythrocytes. To comprehensively define the erythrocyte transcriptome, we used high-throughput sequencing to identify both short (18-24 nt) and long (>200 nt) RNAs in mature erythrocytes. Analysis of the short RNA transcriptome with miRDeep identified 287 known and 72 putative novel microRNAs. Unexpectedly, we also uncover an extensive repertoire of long erythrocyte RNAs that encode many proteins critical for erythrocyte differentiation and function. Additionally, the erythrocyte long RNA transcriptome is significantly enriched in the erythroid progenitor transcriptome. Joint analysis of both short and long RNAs identified several loci with co-expression of both microRNAs and long RNAs spanning microRNA precursor regions. Within the miR-144/451 locus previously implicated in erythroid development, we observed unique co-expression of several primate-specific noncoding RNAs, including a lncRNA, and miR-4732-5p/-3p. We show that miR-4732-3p targets both SMAD2 and SMAD4, two critical components of the TGF-β pathway implicated in erythropoiesis. Furthermore, miR-4732-3p represses SMAD2/4-dependent TGF-β signaling, thereby promoting cell proliferation during erythroid differentiation. Our study presents the most extensive profiling of erythrocyte RNAs to date, and describes primate-specific interactions between the key modulator miR-4732-3p and TGF-β signaling during human erythropoiesis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
Canada 1 <1%
Unknown 119 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 23%
Researcher 23 19%
Student > Master 19 16%
Student > Bachelor 9 7%
Student > Doctoral Student 7 6%
Other 16 13%
Unknown 20 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 34 28%
Agricultural and Biological Sciences 33 27%
Medicine and Dentistry 11 9%
Neuroscience 5 4%
Immunology and Microbiology 4 3%
Other 11 9%
Unknown 24 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 13 September 2022.
All research outputs
#6,071,658
of 24,417,958 outputs
Outputs from BMC Genomics
#2,340
of 10,976 outputs
Outputs of similar age
#63,682
of 257,277 outputs
Outputs of similar age from BMC Genomics
#65
of 398 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,976 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 78% 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 257,277 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 75% of its contemporaries.
We're also able to compare this research output to 398 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.