A population-based gene expression signature of molecular clock phase from a single epidermal sample

Abstract Background For circadian medicine to influence health, such as when to take a drug or undergo a procedure, a biomarker of molecular clock phase is required––one that is easily measured and generalizable across a broad population. It is not clear that any circadian biomarker yet satisfies th...

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Main Authors: Gang Wu, Marc D. Ruben, Lauren J. Francey, David F. Smith, Joseph D. Sherrill, John E. Oblong, Kevin J. Mills, John B. Hogenesch
Format: Article
Language:English
Published: BMC 2020-08-01
Series:Genome Medicine
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13073-020-00768-9
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author Gang Wu
Marc D. Ruben
Lauren J. Francey
David F. Smith
Joseph D. Sherrill
John E. Oblong
Kevin J. Mills
John B. Hogenesch
author_facet Gang Wu
Marc D. Ruben
Lauren J. Francey
David F. Smith
Joseph D. Sherrill
John E. Oblong
Kevin J. Mills
John B. Hogenesch
author_sort Gang Wu
collection DOAJ
description Abstract Background For circadian medicine to influence health, such as when to take a drug or undergo a procedure, a biomarker of molecular clock phase is required––one that is easily measured and generalizable across a broad population. It is not clear that any circadian biomarker yet satisfies these criteria. Methods We analyzed 24-h molecular rhythms in human dermis and epidermis at three distinct body sites, leveraging both longitudinal (n = 20) and population (n = 154) data. We applied cyclic ordering by periodic structure (CYCLOPS) to order the population samples where biopsy time was not recorded. With CYCLOPS-predicted phases, we used ZeitZeiger to discover potential biomarkers of clock phase. Results Circadian clock function was strongest in the epidermis, regardless of body site. We identified a 12-gene expression signature that reported molecular clock phase to within 3 h (mean error = 2.5 h) from a single sample of epidermis––the skin’s most superficial layer. This set performed well across body sites, ages, sexes, and detection platforms. Conclusions This research shows that the clock in epidermis is more robust than dermis regardless of body site. To encourage ongoing validation of this putative biomarker in diverse populations, diseases, and experimental designs, we developed SkinPhaser––a user-friendly app to test biomarker performance in datasets ( https://github.com/gangwug/SkinPhaser ).
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spelling doaj.art-5a938497a43c43a2be35eb6ccc9b276f2022-12-21T17:59:42ZengBMCGenome Medicine1756-994X2020-08-0112111210.1186/s13073-020-00768-9A population-based gene expression signature of molecular clock phase from a single epidermal sampleGang Wu0Marc D. Ruben1Lauren J. Francey2David F. Smith3Joseph D. Sherrill4John E. Oblong5Kevin J. Mills6John B. Hogenesch7Divisions of Human Genetics and Immunobiology, Center for Circadian Medicine, Department of Pediatrics, Cincinnati Children’s Hospital Medical CenterDivisions of Human Genetics and Immunobiology, Center for Circadian Medicine, Department of Pediatrics, Cincinnati Children’s Hospital Medical CenterDivisions of Human Genetics and Immunobiology, Center for Circadian Medicine, Department of Pediatrics, Cincinnati Children’s Hospital Medical CenterDivisions of Pediatric Otolaryngology, Pulmonary Medicine, and the Sleep Center, Cincinnati Children’s Hospital Medical CenterThe Procter and Gamble Company, Mason Business CenterThe Procter and Gamble Company, Mason Business CenterThe Procter and Gamble Company, Mason Business CenterDivisions of Human Genetics and Immunobiology, Center for Circadian Medicine, Department of Pediatrics, Cincinnati Children’s Hospital Medical CenterAbstract Background For circadian medicine to influence health, such as when to take a drug or undergo a procedure, a biomarker of molecular clock phase is required––one that is easily measured and generalizable across a broad population. It is not clear that any circadian biomarker yet satisfies these criteria. Methods We analyzed 24-h molecular rhythms in human dermis and epidermis at three distinct body sites, leveraging both longitudinal (n = 20) and population (n = 154) data. We applied cyclic ordering by periodic structure (CYCLOPS) to order the population samples where biopsy time was not recorded. With CYCLOPS-predicted phases, we used ZeitZeiger to discover potential biomarkers of clock phase. Results Circadian clock function was strongest in the epidermis, regardless of body site. We identified a 12-gene expression signature that reported molecular clock phase to within 3 h (mean error = 2.5 h) from a single sample of epidermis––the skin’s most superficial layer. This set performed well across body sites, ages, sexes, and detection platforms. Conclusions This research shows that the clock in epidermis is more robust than dermis regardless of body site. To encourage ongoing validation of this putative biomarker in diverse populations, diseases, and experimental designs, we developed SkinPhaser––a user-friendly app to test biomarker performance in datasets ( https://github.com/gangwug/SkinPhaser ).http://link.springer.com/article/10.1186/s13073-020-00768-9SkinDermisEpidermisCircadian medicinePopulation rhythmCircadian biomarkers
spellingShingle Gang Wu
Marc D. Ruben
Lauren J. Francey
David F. Smith
Joseph D. Sherrill
John E. Oblong
Kevin J. Mills
John B. Hogenesch
A population-based gene expression signature of molecular clock phase from a single epidermal sample
Genome Medicine
Skin
Dermis
Epidermis
Circadian medicine
Population rhythm
Circadian biomarkers
title A population-based gene expression signature of molecular clock phase from a single epidermal sample
title_full A population-based gene expression signature of molecular clock phase from a single epidermal sample
title_fullStr A population-based gene expression signature of molecular clock phase from a single epidermal sample
title_full_unstemmed A population-based gene expression signature of molecular clock phase from a single epidermal sample
title_short A population-based gene expression signature of molecular clock phase from a single epidermal sample
title_sort population based gene expression signature of molecular clock phase from a single epidermal sample
topic Skin
Dermis
Epidermis
Circadian medicine
Population rhythm
Circadian biomarkers
url http://link.springer.com/article/10.1186/s13073-020-00768-9
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