Plucked hair follicles from patients with chronic discoid lupus erythematosus show a disease-specific molecular signature

Shalbaf, M, Alase, AA, Berekmeri, A et al. (8 more authors) (2019) Plucked hair follicles from patients with chronic discoid lupus erythematosus show a disease-specific molecular signature. Lupus Science and Medicine, 6 (1). e000328. ISSN 2053-8790

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
Dates:
  • Published: 14 July 2019
  • Accepted: 17 June 2019
  • Published (online): 14 July 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Molecular and Cellular Biology (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Institute of Rheumatology & Musculoskeletal Medicine (LIRMM) (Leeds) > Clinical Musculoskeletal Medicine (LIRMM) (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Institute of Rheumatology & Musculoskeletal Medicine (LIRMM) (Leeds) > Experimental Musculoskeletal Medicine (Leeds)
Funding Information:
FunderGrant number
Lupus UKNone
Depositing User: Symplectic Publications
Date Deposited: 21 Jun 2019 10:51
Last Modified: 19 Jul 2019 12:00
Status: Published
Publisher: BMJ
Identification Number: https://doi.org/10.1136/lupus-2019-000328

Download

Share / Export

Statistics