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Time-resolved transcriptome and proteome landscape of human regulatory T cell (Treg) differentiation reveals novel regulators of FOXP3

Overview of attention for article published in BMC Biology, May 2018
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Title
Time-resolved transcriptome and proteome landscape of human regulatory T cell (Treg) differentiation reveals novel regulators of FOXP3
Published in
BMC Biology, May 2018
DOI 10.1186/s12915-018-0518-3
Pubmed ID
Authors

Angelika Schmidt, Francesco Marabita, Narsis A. Kiani, Catharina C. Gross, Henrik J. Johansson, Szabolcs Éliás, Sini Rautio, Matilda Eriksson, Sunjay Jude Fernandes, Gilad Silberberg, Ubaid Ullah, Urvashi Bhatia, Harri Lähdesmäki, Janne Lehtiö, David Gomez-Cabrero, Heinz Wiendl, Riitta Lahesmaa, Jesper Tegnér

Abstract

Regulatory T cells (Tregs) expressing the transcription factor FOXP3 are crucial mediators of self-tolerance, preventing autoimmune diseases but possibly hampering tumor rejection. Clinical manipulation of Tregs is of great interest, and first-in-man trials of Treg transfer have achieved promising outcomes. Yet, the mechanisms governing induced Treg (iTreg) differentiation and the regulation of FOXP3 are incompletely understood. To gain a comprehensive and unbiased molecular understanding of FOXP3 induction, we performed time-series RNA sequencing (RNA-Seq) and proteomics profiling on the same samples during human iTreg differentiation. To enable the broad analysis of universal FOXP3-inducing pathways, we used five differentiation protocols in parallel. Integrative analysis of the transcriptome and proteome confirmed involvement of specific molecular processes, as well as overlap of a novel iTreg subnetwork with known Treg regulators and autoimmunity-associated genes. Importantly, we propose 37 novel molecules putatively involved in iTreg differentiation. Their relevance was validated by a targeted shRNA screen confirming a functional role in FOXP3 induction, discriminant analyses classifying iTregs accordingly, and comparable expression in an independent novel iTreg RNA-Seq dataset. The data generated by this novel approach facilitates understanding of the molecular mechanisms underlying iTreg generation as well as of the concomitant changes in the transcriptome and proteome. Our results provide a reference map exploitable for future discovery of markers and drug candidates governing control of Tregs, which has important implications for the treatment of cancer, autoimmune, and inflammatory diseases.

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The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 121 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 21%
Researcher 23 19%
Student > Master 14 12%
Student > Bachelor 9 7%
Student > Postgraduate 5 4%
Other 15 12%
Unknown 29 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 22%
Immunology and Microbiology 20 17%
Agricultural and Biological Sciences 17 14%
Medicine and Dentistry 12 10%
Pharmacology, Toxicology and Pharmaceutical Science 5 4%
Other 10 8%
Unknown 30 25%