Literature DB >> 33792063

Multi-omics analyses implicate EARS2 in the pathogenesis of atopic dermatitis.

Jaehyun Park1, Sharon M Lutz2, Seungil Choi3, Sanghun Lee4, Sang-Cheol Park5, Kangjin Kim6, Hosik Choi7, Hansoo Park8,9, So Yeon Lee10, Scott T Weiss11, Soo-Jong Hong10, Bong-Soo Kim12, Sungho Won1,5,6,13.   

Abstract

Entities:  

Keywords:  zzm321990EARS2zzm321990; atopic dermatitis; multi-omics analysis; prediction model

Year:  2021        PMID： 33792063     DOI： 10.1111/all.14837

Source DB:  PubMed          Journal:  Allergy        ISSN： 0105-4538            Impact factor:   13.146


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  2 in total

1.  Accurate diagnosis of atopic dermatitis by combining transcriptome and microbiota data with supervised machine learning.

Authors:  Ziyuan Jiang; Jiajin Li; Nahyun Kong; Jeong-Hyun Kim; Bong-Soo Kim; Min-Jung Lee; Yoon Mee Park; So-Yeon Lee; Soo-Jong Hong; Jae Hoon Sul
Journal:  Sci Rep       Date:  2022-01-07       Impact factor: 4.379

2.  Timing of Blood Sample Processing Affects the Transcriptomic and Epigenomic Profiles in CD4+ T-cells of Atopic Subjects.

Authors:  Fahd Alhamdan; Kristina Laubhahn; Christine Happle; Anika Habener; Adan C Jirmo; Clemens Thölken; Raffaele Conca; Ho-Ryun Chung; Gesine Hansen; Daniel P Potaczek; Bianca Schaub; Ruth Grychtol; Holger Garn
Journal:  Cells       Date:  2022-09-22       Impact factor: 7.666
  2 in total

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