Analyzing Th17 cell differentiation dynamics using a novel integrative modeling framework for time-course RNA sequencing data

Beskrivning

Abstract Background The differentiation of naive CD 4+ helper T (Th) cells into effector Th17 cells is steered by extracellular cytokines that activate and control the lineage specific transcriptional program. While the inducing cytokine signals and core transcription factors driving the differentiation towards Th17 lineage are well known, detailed mechanistic interactions between the key components are poorly understood. Results We develop an integrative modeling framework which combines RNA sequencing data with mathematical modeling and enables us to construct a mechanistic model for the core Th17 regulatory network in a data-driven manner. Conclusions Our results show significant evidence, for instance, for inhibitory mechanisms between the transcription factors and reveal a previously unknown dependency between the dosage of the inducing cytokine TGF β and the expression of the master regulator of competing (induced) regulatory T cell lineage. Further, our experimental validation approves this dependency in Th17 polarizing conditions.
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Publiceringsår

2015

Typ av data

Upphovspersoner

Department of Computer Science

Henrik Mannerström Orcid -palvelun logo - Upphovsperson

Birgitta Stockinger - Medarbetare

Harri Lähdesmäki - Medarbetare

Helena Ahlfors - Medarbetare

Jukka Intosalmi - Medarbetare

Riitta Lahesmaa - Medarbetare

Sini Rautio - Medarbetare

Zhi Chen - Medarbetare

figshare - Utgivare

Projekt

Övriga uppgifter

Vetenskapsområden

Data- och informationsvetenskap

Språk

Öppen tillgång

Öppet

Licens

Creative Commons Attribution 4.0 International (CC BY 4.0)

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Ämnesord

Temporal täckning

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