Transcriptomic analysis of FUCA1 knock-down in keratinocytes reveals new insights into the pathogenesis of fucosidosis skin lesions

被引:7
|
作者
Valero-Rubio, Danyela [1 ]
Marcela Jimenez, Karen [1 ]
Janeth Fonseca, Dora [1 ]
Payan-Gomez, Cesar [2 ]
Laissue, Paul [1 ]
机构
[1] Univ Rosario, Sch Med & Hlth Sci, GENIUROS Res Grp, Ctr Res Genet & Genom CIGGUR, Bogota, Colombia
[2] Univ Rosario, Fac Ciencias Nat & Matemat, Bogota, Colombia
关键词
angiokeratoma; FOXN1; lysosomal alpha-L-fucosidase; skin disease; transcriptome; BIOLOGICAL SIGNIFICANCE; MOUSE MODEL; NUDE-MICE; FOXN1; PSORIASIS; MUTATION; DISEASE; ANGIOKERATOMA; LYMPHOPOIESIS; DEFICIENCY;
D O I
10.1111/exd.13532
中图分类号
R75 [皮肤病学与性病学];
学科分类号
100206 ;
摘要
Fucosidosis is a rare lysosomal storage disease which has been classified into two subtypes, depending on the severity of clinical signs and symptoms. Fucosidosis patients' skin abnormalities include angiokeratoma corporis diffusum, widespread telangiectasia, thick skin, hyperhidrosis and hypohidrosis, acrocyanosis and distal transverse nail bands. It has been described that >50% of fucosidosis patients have angiokeratoma. At molecular level, fucosidosis is caused by lysosomal alpha-L-fucosidase (FUCA1) gene mutations. Obtaining samples for functional studies has been challenging due to the inherent difficulty in finding affected individuals. The effect of FUCA1 dysfunction on gene expression is unknown. The aim of this study was to analyse, in keratinocytes, the transcriptomic effect of FUCA1 knock-down for a better understanding of skin lesions' pathogenesis affecting fucosidosis patients. FUCA1 knock-down (siRNA) was performed in human HaCaT immortalised keratinocytes. Affymetrix arrays and qPCR were used for analysing gene expression. Bioinformatics was used for functional clustering of modified genes. In total, 387 genes showed differential expression between FUCA1 silenced and non-silenced cells (222 up-regulated and 165 down-regulated). Up-regulated genes belonged to two major groups: keratinocyte differentiation/epidermal development (n=17) and immune response (n=61). Several transcription factors were up-regulated in FUCA1-siRNA transfected cells. This effect might partly have been produced by abnormal transcription factor expression, that is FOXN1. We thus propose that fucosidosis-related skin lesions (eg angiokeratoma) and those of other diseases (eg psoriasis) might be caused by dysfunctions in common aetiological overlapping molecular cascades.
引用
收藏
页码:663 / 667
页数:5
相关论文
共 5 条
  • [1] Extended analysis of exome sequencing data reveals a novel homozygous deletion of exons 3 and 4 in FUCA1 gene causing fucosidosis in an Indian family
    do Rosario, Michelle C.
    Purushothama, Greeshma
    Narayanan, Dhanya Lakshmi
    Siddiqui, Shahyan
    Girisha, Katta Mohan
    Shukla, Anju
    CLINICAL DYSMORPHOLOGY, 2023, 32 (03) : 112 - 115
  • [2] The analysis of an Arabidopsis triple knock-down mutant reveals functions for MBF1 genes under oxidative stress conditions
    Pamela Arce, Debora
    Veronica Godoy, Andrea
    Tsuda, Kenichi
    Yamazaki, Ken-ichi
    Marta Valle, Estela
    Jose Iglesias, Maria
    Florencia Di Mauro, Maria
    Anahi Casalongue, Claudia
    JOURNAL OF PLANT PHYSIOLOGY, 2010, 167 (03) : 194 - 200
  • [3] Micro-array analysis reveals that melanocortin 1 receptor is down-regulated by SLC24A5 knock-down in normal human melanocytes
    Wilson, S.
    Askew, S. E.
    Lim, F. L.
    Gunn, D. A.
    Ginger, R. S.
    Green, M. R.
    JOURNAL OF INVESTIGATIVE DERMATOLOGY, 2009, 129 : S37 - S37
  • [4] Transcriptomic analysis of short-fruit 1 (sf1) reveals new insights into the variation of fruit-related traits in Cucumis sativus
    Wang, Lina
    Cao, Chenxing
    Zheng, Shuangshuang
    Zhang, Haiyang
    Liu, Panjing
    Ge, Qian
    Li, Jinrui
    Ren, Zhonghai
    SCIENTIFIC REPORTS, 2017, 7
  • [5] Transcriptomic analysis of short-fruit 1 (sf1) reveals new insights into the variation of fruit-related traits in Cucumis sativus
    Lina Wang
    Chenxing Cao
    Shuangshuang Zheng
    Haiyang Zhang
    Panjing Liu
    Qian Ge
    Jinrui Li
    Zhonghai Ren
    Scientific Reports, 7