Literature DB >> 27659011

PathCellNet: Cell-type specific pathogen-response network explorer.

Dejan Katanic1, Atif Khan1, Juilee Thakar2.   

Abstract

Pathogen specific immune response is a complex interplay between several innate and adaptive immune cell-types. Innate immune cells play a critical role in pathogen recognition and initiating the antigen specific adaptive immune response. Despite specific functional roles of the innate immune cells, they share several anti-viral pathways. The question then becomes, what is the overlap in the transcriptional changes induced upon viral infections across different cell-types? Here we investigate the extent to which gene signatures are conserved across innate immune cell-types by performing a comparative analysis of transcriptomic data. Particularly, we integrate transcriptomic datasets measuring response of two innate immune cells (epithelial and dendritic cells) to influenza virus. The study reveals cell-type specific regulatory genes and a conserved network between the two cell-types. Additionally, novel functionally associated gene clusters are identified which are robustly defined across multiple independent studies. These gene clusters can be used in future investigation, and to facilitate their use we release PathCellNet (version 0), a cloud based tool to explore cell-type specific connectivity of user-defined genes. In the future, expansion of PathCellNet will allow exploration of cell-type specific responses across a variety of pathogens and cell-types. Copyright Â
© 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Conserved gene signature; Epithelial cells; Gene-gene association networks; Gene-sets; Monocyte derived dendritic cells

Mesh:

Year:  2016        PMID: 27659011     DOI: 10.1016/j.jim.2016.09.005

Source DB:  PubMed          Journal:  J Immunol Methods        ISSN: 0022-1759            Impact factor:   2.303


  4 in total

1.  Meta-analysis of cell- specific transcriptomic data using fuzzy c-means clustering discovers versatile viral responsive genes.

Authors:  Atif Khan; Dejan Katanic; Juilee Thakar
Journal:  BMC Bioinformatics       Date:  2017-06-06       Impact factor: 3.169

2.  FUNNEL-GSEA: FUNctioNal ELastic-net regression in time-course gene set enrichment analysis.

Authors:  Yun Zhang; David J Topham; Juilee Thakar; Xing Qiu
Journal:  Bioinformatics       Date:  2017-07-01       Impact factor: 6.937

3.  Potential Genes and Pathways of Neonatal Sepsis Based on Functional Gene Set Enrichment Analyses.

Authors:  YuXiu Meng; Xue Hong Cai; LiPei Wang
Journal:  Comput Math Methods Med       Date:  2018-07-30       Impact factor: 2.238

4.  Unbiased analysis of peripheral blood mononuclear cells reveals CD4 T cell response to RSV matrix protein.

Authors:  Juilee Thakar; Yu Qian; Lauren Benoodt; David Roumanes; Xing Qiu; Nathan Laniewski; ChinYi Chu; Christopher Slaunwhite; Lu Wang; Aishwarya Mandava; Ivan Chang; Ann R Falsey; Mary T Caserta; Thomas J Mariani; Richard H Scheuermann; Edward E Walsh; David J Topham
Journal:  Vaccine X       Date:  2020-04-21
  4 in total

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