Dynamic regulatory network controlling TH 17 cell differentiation

Despite their importance, the molecular circuits that control the differentiation of naive T cells remain largely unknown. Recent studies that reconstructed regulatory networks in mammalian cells have focused on short-term responses and relied on perturbation-based approaches that cannot be readily...

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Main Authors: Yosef, N, Shalek, A, Gaublomme, J, Jin, H, Lee, Y, Awasthi, A, Wu, C, Karwacz, K, Xiao, S, Jorgolli, M, Gennert, D, Satija, R, Shakya, A, Lu, D, Trombetta, J, Pillai, MR, Ratcliffe, P, Coleman, M, Bix, M, Tantin, D, Park, H, Kuchroo, V, Regev, A
Format: Journal article
Language:English
Published: 2013
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author Yosef, N
Shalek, A
Gaublomme, J
Jin, H
Lee, Y
Awasthi, A
Wu, C
Karwacz, K
Xiao, S
Jorgolli, M
Gennert, D
Satija, R
Shakya, A
Lu, D
Trombetta, J
Pillai, MR
Ratcliffe, P
Coleman, M
Bix, M
Tantin, D
Park, H
Kuchroo, V
Regev, A
author_facet Yosef, N
Shalek, A
Gaublomme, J
Jin, H
Lee, Y
Awasthi, A
Wu, C
Karwacz, K
Xiao, S
Jorgolli, M
Gennert, D
Satija, R
Shakya, A
Lu, D
Trombetta, J
Pillai, MR
Ratcliffe, P
Coleman, M
Bix, M
Tantin, D
Park, H
Kuchroo, V
Regev, A
author_sort Yosef, N
collection OXFORD
description Despite their importance, the molecular circuits that control the differentiation of naive T cells remain largely unknown. Recent studies that reconstructed regulatory networks in mammalian cells have focused on short-term responses and relied on perturbation-based approaches that cannot be readily applied to primary T cells. Here we combine transcriptional profiling at high temporal resolution, novel computational algorithms, and innovative nanowire-based perturbation tools to systematically derive and experimentally validate a model of the dynamic regulatory network that controls the differentiation of mouse TH 17 cells, a proinflammatory T-cell subset that has been implicated in the pathogenesis of multiple autoimmune diseases. The TH 17 transcriptional network consists of two self-reinforcing, but mutually antagonistic, modules, with 12 novel regulators, the coupled action of which may be essential for maintaining the balance between TH 17 and other CD4+ T-cell subsets. Our study identifies and validates 39 regulatory factors, embeds them within a comprehensive temporal network and reveals its organizational principles; it also highlights novel drug targets for controlling TH 17 cell differentiation. © 2013 Macmillan Publishers Limited. All rights reserved.
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spelling oxford-uuid:28378f21-8a16-46d1-ac69-a0637f2006f22022-03-26T12:11:31ZDynamic regulatory network controlling TH 17 cell differentiationJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:28378f21-8a16-46d1-ac69-a0637f2006f2EnglishSymplectic Elements at Oxford2013Yosef, NShalek, AGaublomme, JJin, HLee, YAwasthi, AWu, CKarwacz, KXiao, SJorgolli, MGennert, DSatija, RShakya, ALu, DTrombetta, JPillai, MRRatcliffe, PColeman, MBix, MTantin, DPark, HKuchroo, VRegev, ADespite their importance, the molecular circuits that control the differentiation of naive T cells remain largely unknown. Recent studies that reconstructed regulatory networks in mammalian cells have focused on short-term responses and relied on perturbation-based approaches that cannot be readily applied to primary T cells. Here we combine transcriptional profiling at high temporal resolution, novel computational algorithms, and innovative nanowire-based perturbation tools to systematically derive and experimentally validate a model of the dynamic regulatory network that controls the differentiation of mouse TH 17 cells, a proinflammatory T-cell subset that has been implicated in the pathogenesis of multiple autoimmune diseases. The TH 17 transcriptional network consists of two self-reinforcing, but mutually antagonistic, modules, with 12 novel regulators, the coupled action of which may be essential for maintaining the balance between TH 17 and other CD4+ T-cell subsets. Our study identifies and validates 39 regulatory factors, embeds them within a comprehensive temporal network and reveals its organizational principles; it also highlights novel drug targets for controlling TH 17 cell differentiation. © 2013 Macmillan Publishers Limited. All rights reserved.
spellingShingle Yosef, N
Shalek, A
Gaublomme, J
Jin, H
Lee, Y
Awasthi, A
Wu, C
Karwacz, K
Xiao, S
Jorgolli, M
Gennert, D
Satija, R
Shakya, A
Lu, D
Trombetta, J
Pillai, MR
Ratcliffe, P
Coleman, M
Bix, M
Tantin, D
Park, H
Kuchroo, V
Regev, A
Dynamic regulatory network controlling TH 17 cell differentiation
title Dynamic regulatory network controlling TH 17 cell differentiation
title_full Dynamic regulatory network controlling TH 17 cell differentiation
title_fullStr Dynamic regulatory network controlling TH 17 cell differentiation
title_full_unstemmed Dynamic regulatory network controlling TH 17 cell differentiation
title_short Dynamic regulatory network controlling TH 17 cell differentiation
title_sort dynamic regulatory network controlling th 17 cell differentiation
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