Literature DB >> 23584146

Proteomic analysis of balding and non-balding mesenchyme-derived dermal papilla cells from androgenetic alopecia patients using on-line two-dimensional reversed phase-reversed phase LC-MS/MS.

Pyong-Gon Moon1, Mi Hee Kwack, Jeong-Eun Lee, Young-Eun Cho, Ji-Hwan Park, Daehee Hwang, Moon Kyu Kim, Jung Chul Kim, Young Kwan Sung, Moon-Chang Baek.   

Abstract

Androgenetic alopecia (AGA) is the most common and progressive disorder of hair loss with psychological effects. However, the exact mechanisms of baldness have not yet been elucidated. Until now, there has been no report using current proteomic approaches to examine balding and non-balding mesenchyme-derived DPCs simultaneously. To achieve the goal of identifying differentially expressed proteins in balding DPCs compared to non-balding DPCs, we present a strategy combining gel-assisted digestion and automatic on-line two-dimensional reversed phase-reversed phase (2D RP-RP) LC-MS/MS with informatics-assisted label-free protein quantitation. This strategy efficiently quantified the proteins of balding and non-balding DPCs from patients, and 128 up-regulated and 12 down-regulated proteins among 690 distinct proteins were identified in balding DPCs compared to non-balding DPCs. Up-regulated proteins belonging to these pathways in the balding DPCs, including argininosuccinate synthase 1 (ASS1), phosphoribosylaminoimidazole carboxylase (PAICS; ADE2), cytoskeleton-associated protein 4 (CKAP4), gelsolin (GSN), Ras GTPase-activating-like protein (IQGAP1), and S-phase kinase-associated protein 1 (SKP1), were confirmed by Western blot analysis. Gelsolin (GSN), Ras GTPase-activating-like protein (IQGAP1), plectin-1 (PLEC1), and nonerythroid α-spectrin (SPTAN1) were confirmed by immunofluorescence analysis. This proteomic approach to DPCs should help in understanding the pathogenesis of AGA. BIOLOGICAL SIGNIFICANCE: The results demonstrated the first deep proteomic approach to mesenchyme-derived dermal papilla cells (DPCs), which are a useful model system to investigate the mechanisms of baldness, from human hair and also identified differentially expressed proteins in balding DPCs compared to non-balding DPCs. This study should help in understanding the pathogenesis of androgenetic alopecia (AGA) and furthermore some proteins differentially expressed could be studied as therapeutic targets for AGA. Crown
Copyright © 2013. Published by Elsevier B.V. All rights reserved.

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Year:  2013        PMID: 23584146     DOI: 10.1016/j.jprot.2013.04.004

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  6 in total

1.  Proteomic Analysis of Extracellular Vesicles Released by Adipocytes of Otsuka Long-Evans Tokushima Fatty (OLETF) Rats.

Authors:  Jeong-Eun Lee; Pyong-Gon Moon; In-Kyu Lee; Moon-Chang Baek
Journal:  Protein J       Date:  2015-06       Impact factor: 2.371

2.  An appraisal of laboratory models of androgenetic alopecia: A systematic review.

Authors:  S Ntshingila; N P Khumalo; M Engel; A T Arowolo
Journal:  Skin Health Dis       Date:  2021-03-05

3.  Outcome of Intra-operative Injected Platelet-rich Plasma Therapy During Follicular Unit Extraction Hair Transplant: A Prospective Randomised Study in Forty Patients.

Authors:  Suruchi Garg
Journal:  J Cutan Aesthet Surg       Date:  2016 Jul-Sep

4.  Increased Expression of Zyxin and Its Potential Function in Androgenetic Alopecia.

Authors:  Qingmei Liu; Xiangguang Shi; Yue Zhang; Yan Huang; Kai Yang; Yulong Tang; Yanyun Ma; Yuting Zhang; Ji'an Wang; Li Zhang; Qi Zhang; Xiao Liu; Jinran Lin; Jiucun Wang; Wenyu Wu
Journal:  Front Cell Dev Biol       Date:  2021-01-11

Review 5.  Advances in hair growth.

Authors:  Dmitri Wall; Nekma Meah; Nicole Fagan; Katherine York; Rodney Sinclair
Journal:  Fac Rev       Date:  2022-01-12

6.  Quantitative proteomics approach to screening of potential diagnostic and therapeutic targets for laryngeal carcinoma.

Authors:  Li Li; Zhenwei Zhang; Chengyu Wang; Lei Miao; Jianpeng Zhang; Jiasen Wang; Binghua Jiao; Shuwei Zhao
Journal:  PLoS One       Date:  2014-02-27       Impact factor: 3.240

  6 in total

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