↓ Skip to main content

PLOS

The Post-Apoptotic Fate of RNAs Identified Through High-Throughput Sequencing of Human Hair

Overview of attention for article published in PLOS ONE, November 2011
Altmetric Badge

Mentioned by

twitter
7 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
44 Mendeley
citeulike
1 CiteULike
Title
The Post-Apoptotic Fate of RNAs Identified Through High-Throughput Sequencing of Human Hair
Published in
PLOS ONE, November 2011
DOI 10.1371/journal.pone.0027603
Pubmed ID
Authors

Gloria K. Lefkowitz, Anandaroop Mukhopadhyay, Christopher Cowing-Zitron, Benjamin D. Yu

Abstract

The hair of all mammals consists of terminally differentiated cells that undergo a specialized form of apoptosis called cornification. While DNA is destroyed during cornification, the extent to which RNA is lost is unknown. Here we find that multiple types of RNA are incompletely degraded after hair shaft formation in both mouse and human. Notably, mRNAs and short regulatory microRNAs (miRNAs) are stable in the hair as far as 10 cm from the scalp. To better characterize the post-apoptotic RNAs that escape degradation in the hair, we performed sequencing (RNA-seq) on RNA isolated from hair shafts pooled from several individuals. This hair shaft RNA library, which encompasses different hair types, genders, and populations, revealed 7,193 mRNAs, 449 miRNAs and thousands of unannotated transcripts that remain in the post-apoptotic hair. A comparison of the hair shaft RNA library to that of viable keratinocytes revealed surprisingly similar patterns of gene coverage and indicates that degradation of RNA is highly inefficient during apoptosis of hair lineages. The generation of a hair shaft RNA library could be used as months of accumulated transcriptional history useful for retrospective detection of disease, drug response and environmental exposure.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Brazil 1 2%
Unknown 42 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 36%
Student > Ph. D. Student 8 18%
Other 4 9%
Student > Doctoral Student 2 5%
Student > Bachelor 2 5%
Other 4 9%
Unknown 8 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 43%
Biochemistry, Genetics and Molecular Biology 5 11%
Medicine and Dentistry 4 9%
Social Sciences 2 5%
Nursing and Health Professions 1 2%
Other 6 14%
Unknown 7 16%