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Expression profiling and bioinformatic analyses suggest new target genes and pathways for human hair follicle related microRNAs

Overview of attention for article published in BMC Dermatology, February 2017
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Title
Expression profiling and bioinformatic analyses suggest new target genes and pathways for human hair follicle related microRNAs
Published in
BMC Dermatology, February 2017
DOI 10.1186/s12895-017-0054-9
Pubmed ID
Authors

Lara M. Hochfeld, Thomas Anhalt, Céline S. Reinbold, Marisol Herrera-Rivero, Nadine Fricker, Markus M. Nöthen, Stefanie Heilmann-Heimbach

Abstract

Human hair follicle (HF) cycling is characterised by the tight orchestration and regulation of signalling cascades. Research shows that micro(mi)RNAs are potent regulators of these pathways. However, knowledge of the expression of miRNAs and their target genes and pathways in the human HF is limited. The objective of this study was to improve understanding of the role of miRNAs and their regulatory interactions in the human HF. Expression levels of ten candidate miRNAs with reported functions in hair biology were assessed in HFs from 25 healthy male donors. MiRNA expression levels were correlated with mRNA-expression levels from the same samples. Identified target genes were tested for enrichment in biological pathways and accumulation in protein-protein interaction (PPI) networks. Expression in the human HF was confirmed for seven of the ten candidate miRNAs, and numerous target genes for miR-24, miR-31, and miR-106a were identified. While the latter include several genes with known functions in hair biology (e.g., ITGB1, SOX9), the majority have not been previously implicated (e.g., PHF1). Target genes were enriched in pathways of interest to hair biology, such as integrin and GnRH signalling, and the respective gene products showed accumulation in PPIs. Further investigation of miRNA expression in the human HF, and the identification of novel miRNA target genes and pathways via the systematic integration of miRNA and mRNA expression data, may facilitate the delineation of tissue-specific regulatory interactions, and improve our understanding of both normal hair growth and the pathobiology of hair loss disorders.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 20%
Student > Ph. D. Student 6 20%
Student > Bachelor 4 13%
Lecturer 2 7%
Student > Doctoral Student 2 7%
Other 5 17%
Unknown 5 17%
Readers by discipline Count As %
Medicine and Dentistry 8 27%
Agricultural and Biological Sciences 6 20%
Biochemistry, Genetics and Molecular Biology 4 13%
Nursing and Health Professions 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 5 17%
Unknown 4 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 02 March 2017.
All research outputs
#13,725,318
of 23,881,329 outputs
Outputs from BMC Dermatology
#71
of 134 outputs
Outputs of similar age
#158,110
of 313,088 outputs
Outputs of similar age from BMC Dermatology
#2
of 3 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 134 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 47th percentile – i.e., 47% 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 313,088 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.