Noninvasive method for assessing the human circadian clock using hair follicle cells

A thorough understanding of the circadian clock requires qualitative evaluation of circadian clock gene expression. Thus far, no simple and effective method for detecting human clock gene expression has become available. This limitation has greatly hampered our understanding of human circadian rhyth...

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Published inProceedings of the National Academy of Sciences - PNAS Vol. 107; no. 35; pp. 15643 - 15648
Main Authors Akashi, Makoto, Soma, Haruhiko, Yamamoto, Takuro, Tsugitomi, Asuka, Yamashita, Shiko, Yamamoto, Takuya, Nishida, Eisuke, Yasuda, Akio, Liao, James K., Node, Koichi, Takahashi, Joseph S.
Format Journal Article
LanguageEnglish
Published United States National Academy of Sciences 31.08.2010
National Acad Sciences
Subjects
Online AccessGet full text
ISSN0027-8424
1091-6490
1091-6490
DOI10.1073/pnas.1003878107

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Abstract A thorough understanding of the circadian clock requires qualitative evaluation of circadian clock gene expression. Thus far, no simple and effective method for detecting human clock gene expression has become available. This limitation has greatly hampered our understanding of human circadian rhythm. Here we report a convenient, reliable, and less invasive method for detecting human clock gene expression using biopsy samples of hair follicle cells from the head or chin. We show that the circadian phase of clock gene expression in hair follicle cells accurately reflects that of individual behavioral rhythms, demonstrating that this strategy is appropriate for evaluating the human peripheral circadian clock. Furthermore, using this method, we indicate that rotating shift workers suffer from a serious time lag between circadian gene expression rhythms and lifestyle. Qualitative evaluation of clock gene expression in hair follicle cells, therefore, may be an effective approach for studying the human circadian clock in the clinical setting.
AbstractList A thorough understanding of the circadian clock requires qualitative evaluation of circadian clock gene expression. Thus far, no simple and effective method for detecting human clock gene expression has become available. This limitation has greatly hampered our understanding of human circadian rhythm. Here we report a convenient, reliable, and less invasive method for detecting human clock gene expression using biopsy samples of hair follicle cells from the head or chin. We show that the circadian phase of clock gene expression in hair follicle cells accurately reflects that of individual behavioral rhythms, demonstrating that this strategy is appropriate for evaluating the human peripheral circadian clock. Furthermore, using this method, we indicate that rotating shift workers suffer from a serious time lag between circadian gene expression rhythms and lifestyle. Qualitative evaluation of clock gene expression in hair follicle cells, therefore, may be an effective approach for studying the human circadian clock in the clinical setting.
A thorough understanding of the circadian clock requires qualitative evaluation of circadian clock gene expression. Thus far, no simple and effective method for detecting human clock gene expression has become available. This limitation has greatly hampered our understanding of human circadian rhythm. Here we report a convenient, reliable, and less invasive method for detecting human clock gene expression using biopsy samples of hair follicle cells from the head or chin. We show that the circadian phase of clock gene expression in hair follicle cells accurately reflects that of individual behavioral rhythms, demonstrating that this strategy is appropriate for evaluating the human peripheral circadian clock. Furthermore, using this method, we indicate that rotating shift workers suffer from a serious time lag between circadian gene expression rhythms and lifestyle. Qualitative evaluation of clock gene expression in hair follicle cells, therefore, may be an effective approach for studying the human circadian clock in the clinical setting. [PUBLICATION ABSTRACT]
A thorough understanding of the circadian clock requires qualitative evaluation of circadian clock gene expression. Thus far, no simple and effective method for detecting human clock gene expression has become available. This limitation has greatly hampered our understanding of human circadian rhythm. Here we report a convenient, reliable, and less invasive method for detecting human clock gene expression using biopsy samples of hair follicle cells from the head or chin. We show that the circadian phase of clock gene expression in hair follicle cells accurately reflects that of individual behavioral rhythms, demonstrating that this strategy is appropriate for evaluating the human peripheral circadian clock. Furthermore, using this method, we indicate that rotating shift workers suffer from a serious time lag between circadian gene expression rhythms and lifestyle. Qualitative evaluation of clock gene expression in hair follicle cells, therefore, may be an effective approach for studying the human circadian clock in the clinical setting.A thorough understanding of the circadian clock requires qualitative evaluation of circadian clock gene expression. Thus far, no simple and effective method for detecting human clock gene expression has become available. This limitation has greatly hampered our understanding of human circadian rhythm. Here we report a convenient, reliable, and less invasive method for detecting human clock gene expression using biopsy samples of hair follicle cells from the head or chin. We show that the circadian phase of clock gene expression in hair follicle cells accurately reflects that of individual behavioral rhythms, demonstrating that this strategy is appropriate for evaluating the human peripheral circadian clock. Furthermore, using this method, we indicate that rotating shift workers suffer from a serious time lag between circadian gene expression rhythms and lifestyle. Qualitative evaluation of clock gene expression in hair follicle cells, therefore, may be an effective approach for studying the human circadian clock in the clinical setting.
Author Nishida, Eisuke
Yasuda, Akio
Akashi, Makoto
Yamamoto, Takuya
Takahashi, Joseph S.
Yamamoto, Takuro
Tsugitomi, Asuka
Yamashita, Shiko
Node, Koichi
Liao, James K.
Soma, Haruhiko
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Edited* by Joseph S. Takahashi, Howard Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, TX, and approved July 21, 2010 (received for review March 24, 2010)
Author contributions: M.A., Takuro Yamamoto, A.Y., and K.N. designed research; M.A., H.S., Takuro Yamamoto, A.T., S.Y., Takuya Yamamoto, and E.N. performed research; M.A. and H.S. contributed new reagents/analytic tools; M.A. and H.S. analyzed data; and M.A., H.S., and J.K.L. wrote the paper.
This Direct Submission article had a prearranged editor.
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Snippet A thorough understanding of the circadian clock requires qualitative evaluation of circadian clock gene expression. Thus far, no simple and effective method...
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StartPage 15643
SubjectTerms Algorithms
Animals
Biological Clocks - physiology
Biological Sciences
Biopsy
Cells
Circadian rhythm
Circadian Rhythm - physiology
Circadian rhythms
CLOCK Proteins - genetics
Cosine function
Female
Gene expression
Gene Expression Profiling - instrumentation
Gene Expression Profiling - methods
Hair
Hair cells
Hair Follicle - cytology
Hair Follicle - metabolism
Hair follicles
head
Humans
Instructional materials
Lifestyle
Male
Mice
Models, Genetic
Nuclear Receptor Subfamily 1, Group D, Member 1 - genetics
Oligonucleotide Array Sequence Analysis
Period Circadian Proteins - genetics
Receptors, Cytoplasmic and Nuclear - genetics
Repressor Proteins - genetics
Reproducibility of Results
Reverse Transcriptase Polymerase Chain Reaction
RNA
Rotating shifts
Scalp
Title Noninvasive method for assessing the human circadian clock using hair follicle cells
URI https://www.jstor.org/stable/27862303
http://www.pnas.org/content/107/35/15643.abstract
https://www.ncbi.nlm.nih.gov/pubmed/20798039
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https://pubmed.ncbi.nlm.nih.gov/PMC2932591
http://doi.org/10.1073/pnas.1003878107
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