Epigenomic priming of immune genes implicates oligodendroglia in multiple sclerosis susceptibility.
Epigenomic priming of immune genes implicates oligodendroglia in multiple sclerosis susceptibility.
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DOI:
10.1016/j.neuron.2021.12.034
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发表时间:
2022-04-06
期刊:
影响因子:
16.2
通讯作者:
Castelo-Branco, Goncalo
中科院分区:
文献类型:
--
作者:
Meijer, Mandy;Agirre, Eneritz;Kabbe, Mukund;van Tuijn, Cassandra A.;Heskol, Abeer;Zheng, Chao;Falcao, Ana Mendanha;Bartosovic, Marek;Kirby, Leslie;Calini, Daniela;Johnson, Michael R.;Corces, M. Ryan;Montine, Thomas J.;Chen, Xingqi;Chang, Howard Y.;Malhotra, Dheeraj;Castelo-Branco, Goncalo
Multiple sclerosis (MS) is characterized by a targeted attack on oligodendroglia (OLG) and myelin by immune cells, which are thought to be the main drivers of MS susceptibility. We found that immune genes exhibit a primed chromatin state in single mouse and human OLG in a non-disease context, compatible with transitions to immune-competent states in MS. We identified BACH1 and STAT1 as transcription factors involved in immune gene regulation in oligodendrocyte precursor cells (OPCs). A subset of immune genes presents bivalency of H3K4me3/H3K27me3 in OPCs, with Polycomb inhibition leading to their increased activation upon interferon gamma (IFN-γ) treatment. Some MS susceptibility single-nucleotide polymorphisms (SNPs) overlap with these regulatory regions in mouse and human OLG. Treatment of mouse OPCs with IFN-γ leads to chromatin architecture remodeling at these loci and altered expression of interacting genes. Thus, the susceptibility for MS may involve OLG, which therefore constitutes novel targets for immunological-based therapies for MS. Meijer, Agirre, et al. show that mouse and human oligodendroglia present open chromatin at immune genes and MS susceptibility single-nucleotide polymorphisms in homeostasis and disease. Transcriptional activation of these open chromatin regions involves transcription factors such as BACH1 and STAT1 and changes in histone modification deposition and chromatin architecture.
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影响因子:
17.1
作者:
Fard MK;van der Meer F;Sánchez P;Cantuti-Castelvetri L;Mandad S;Jäkel S;Fornasiero EF;Schmitt S;Ehrlich M;Starost L;Kuhlmann T;Sergiou C;Schultz V;Wrzos C;Brück W;Urlaub H;Dimou L;Stadelmann C;Simons M
通讯作者:
Simons M
DOI:
10.1093/bioinformatics/btr064
发表时间:
2011-04-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Grant CE;Bailey TL;Noble WS
通讯作者:
Noble WS
影响因子:
5.8
作者:
Gu, Zuguang;Eils, Roland;Schlesner, Matthias
通讯作者:
Schlesner, Matthias
影响因子:
64.8
作者:
Heintzman, Nathaniel D.;Hon, Gary C.;Hawkins, R. David;Kheradpour, Pouya;Stark, Alexander;Harp, Lindsey F.;Ye, Zhen;Lee, Leonard K.;Stuart, Rhona K.;Ching, Christina W.;Ching, Keith A.;Antosiewicz-Bourget, Jessica E.;Liu, Hui;Zhang, Xinmin;Green, Roland D.;Lobanenkov, Victor V.;Stewart, Ron;Thomson, James A.;Crawford, Gregory E.;Kellis, Manolis;Ren, Bing
通讯作者:
Ren, Bing
影响因子:
30.8
作者:
Finucane HK;Reshef YA;Anttila V;Slowikowski K;Gusev A;Byrnes A;Gazal S;Loh PR;Lareau C;Shoresh N;Genovese G;Saunders A;Macosko E;Pollack S;Brainstorm Consortium;Perry JRB;Buenrostro JD;Bernstein BE;Raychaudhuri S;McCarroll S;Neale BM;Price AL
通讯作者:
Price AL