Multiple Transcriptome Data Analysis Reveals Biologically Relevant Atopic Dermatitis Signature Genes and Pathways

Debajyoti Ghosh; Lili Ding; Umasundari Sivaprasad; Esmond Geh; Jocelyn Biagini Myers; Jonathan A. Bernstein; Gurjit  K Khurana Hershey; Tesfaye B. Mersha

doi:10.1371/journal.pone.0144316

Loading metrics

Open Access

Peer-reviewed

Research Article

Multiple Transcriptome Data Analysis Reveals Biologically Relevant Atopic Dermatitis Signature Genes and Pathways

Debajyoti Ghosh,

Affiliation Division of Immunology, Allergy & Rheumatology, Department of Internal Medicine, University of Cincinnati, Cincinnati, United States of America
⨯
Lili Ding,

Affiliation Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, University of Cincinnati, Cincinnati, United States of America
⨯
Umasundari Sivaprasad,

Affiliation Division of Asthma Research, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, University of Cincinnati, Cincinnati, United States of America
⨯
Esmond Geh,

Affiliation Division of Immunology, Allergy & Rheumatology, Department of Internal Medicine, University of Cincinnati, Cincinnati, United States of America
⨯
Jocelyn Biagini Myers,

Affiliation Division of Asthma Research, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, University of Cincinnati, Cincinnati, United States of America
⨯
Jonathan A. Bernstein,

Affiliation Division of Immunology, Allergy & Rheumatology, Department of Internal Medicine, University of Cincinnati, Cincinnati, United States of America
⨯
Gurjit K Khurana Hershey,

Affiliation Division of Asthma Research, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, University of Cincinnati, Cincinnati, United States of America
⨯
Tesfaye B. Mersha

* E-mail: tesfaye.mersha@cchmc.org

Affiliation Division of Asthma Research, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, University of Cincinnati, Cincinnati, United States of America
⨯

Multiple Transcriptome Data Analysis Reveals Biologically Relevant Atopic Dermatitis Signature Genes and Pathways

Debajyoti Ghosh,
Lili Ding,
Umasundari Sivaprasad,
Esmond Geh,
Jocelyn Biagini Myers,
Jonathan A. Bernstein,
Gurjit K Khurana Hershey,
Tesfaye B. Mersha

Published: December 30, 2015
https://doi.org/10.1371/journal.pone.0144316

Reader Comments (0)

Post a new comment on this article

Subject Areas
?

For more information about PLOS Subject Areas, click here.
We want your feedback. Do these Subject Areas make sense for this article? Click the target next to the incorrect Subject Area and let us know. Thanks for your help!

Gene expression
Is the Subject Area "Gene expression" applicable to this article?

Thanks for your feedback.
Keratinocytes
Is the Subject Area "Keratinocytes" applicable to this article?

Thanks for your feedback.
Genetic networks
Is the Subject Area "Genetic networks" applicable to this article?

Thanks for your feedback.
Principal component analysis
Is the Subject Area "Principal component analysis" applicable to this article?

Thanks for your feedback.
Inflammatory diseases
Is the Subject Area "Inflammatory diseases" applicable to this article?

Thanks for your feedback.
Hierarchical clustering
Is the Subject Area "Hierarchical clustering" applicable to this article?

Thanks for your feedback.
Inflammation
Is the Subject Area "Inflammation" applicable to this article?

Thanks for your feedback.
Lipid metabolism
Is the Subject Area "Lipid metabolism" applicable to this article?

Thanks for your feedback.