CHAC1 as a novel biomarker for distinguishing alopecia from other dermatological diseases and determining its severity-Reference-Cited by-同舟云学术

CHAC1 as a novel biomarker for distinguishing alopecia from other dermatological diseases and determining its severity

Published:2022-08-18 Issue:5 Volume:16 Page:173-185
ISSN:1751-8849
Container-title:IET Systems Biology
language:en
Short-container-title:IET Systems Biology

Author:

Karami Hassan¹,Nomiri Samira²,Ghasemigol Mohammad³,Mehrvarzian Niloufar⁴,Derakhshani Afshin⁵⁶,Fereidouni Mohammad⁷,Mirimoghaddam Masoud⁸,Safarpour Hossein⁷^ORCID

Affiliation:

1. Student Research Committee Faculty of Medicine Birjand University of Medical Sciences Birjand Iran

2. Department of Biochemistry Faculty of Medicine Birjand University of Medical Sciences Birjand Iran

3. Department of Computer Engineering University of Birjand Birjand Iran

4. Department of Pharmaceutical Nanotechnology Faculty of Pharmacy Mashhad University of Medical Sciences Mashhad Iran

5. McCaig Institute, Hotchkiss Brain Institute Snyder Institute for Chronic Diseases University of Calgary Calgary, Alberta Canada

6. Department of Biochemistry and Molecular Biology University of Calgary Calgary Alberta Canada

7. Cellular and Molecular Research Center Birjand University of Medical Sciences Birjand Iran

8. Department of Dentistry University of Alberta Edmonton Alberta Canada

Publisher

Institution of Engineering and Technology (IET)

Subject

Cell Biology,Genetics,Molecular Biology,Modeling and Simulation,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/syb2.12048

Reference61 articles.

1. Molecular signatures define alopecia areata subtypes and transcriptional biomarkers

2. Alopecia Areata

3. Risk of sun‐induced skin cancers in patients with alopecia areata, alopecia totalis and alopecia universalis;Conic R.R.;Venereol.,2018

4. Epidemiology of alopecia areata, ophiasis, totalis, and universalis: A systematic review and meta-analysis

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