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The NIH Mouse Regulome Project ES cells Hemangioblasts Mouse blastocyst E3.5 Substan:al developmental gap (marked epigene:c and transcrip:onal differences) Early streak E10 Hematopoie:c stem cells Ac:vated B lymphocytes C. Diphtheriae Diphtheria toxin A Diphtheria toxin A class switch recombination! DNA breaks! VDJ! IgM! IgG! IgE! IgA! Diphtheria toxin A AID VDJ! IgG! IgE! IgA! 1-‐ Iden:fy all genomic sites occupied by regulatory factors The ES and B cell regulomes DNaseI hypersensi:vity 1-‐ Iden:fy all genomic sites occupied by regulatory factors TF binding DNaseI DNaseI hypersensi:vity 1-‐ Iden:fy all genomic sites occupied by regulatory factors 2-‐ Classify promoters and enhancers DNaseI hypersensi:vity Map TSS (ENSEMBL) Map Nipbl, Med12, p300 DNaseI Not en:rely overlapping 3-‐ Refine promoter/enhancer classifica:on Enhancers 10 1.5 Enhancers 1.510 Enhancers 10 1.5 Map H3K4me1 vs H2AZ 90,015 DNaseI domains 1.0 H3K4me1 H3K4me1 H3K4me1 10 1.0 1.0 10 10 Promoters (19%) 0.5 10 0.5 0.510 10 Other (26%) 0 10 0 0 10 10 -0.5 10 -0.5 -0.5 10 10 -1.0 Promoters Promoters Promoters 10 -1.0 -1.0 10 10 -1.0 -0.5 0 0.5 1.0 1.5 2.0 10 10 100.5 10 -1.0 10 -0.5 100 1.0 10 1.5 2.0 -1.0 -0.5 0 10 0.510 1.010 1.510 2.010 10 10 10 10 10 10 10 10 10 H2AZ H2AZ H2AZ Enhancers (55%) Paris Metro Map Opéra Bourse Pyramides Concorde Louvre Bonne Nouvelle Richelieu Rivoli Les Halles Châtelet Musée d’Orsay St-‐Germain des-‐Prés Solférino Sèvres Babylone St-‐Michel Odéon Froissard Hôtel de Ville Bas:lle Notre-‐Dame La Sorbonne Mutualité Temple Sully 4-‐ Map cognate promoter-‐enhancer interac:ons ChIA-‐PET Paris Metro Map Opéra Bourse Pyramides Concorde Louvre Bonne Nouvelle Richelieu Rivoli Les Halles Châtelet Musée d’Orsay St-‐Germain des-‐Prés Solférino Sèvres Babylone St-‐Michel Odéon Froissard Hôtel de Ville Bas:lle Notre-‐Dame La Sorbonne Mutualité Temple Sully 4-‐ Map cognate promoter-‐enhancer interac:ons (83)! PolII looping PolII chroma:n bound (7)! ChIA-‐PET (27)! (41)! (15)! (38)! 5C or HiC studies Background interac:ons 44,398 Func:onal interac:ons 343 (0.8%) Phillips-‐Cremins et al, Cell, 2013 Advantages of ChIA-‐PET 1) Specificity 5C or HiC studies Background interac:ons 44,398 ChIA-‐PET detects long-‐range interac:ons involving ac:ve promoters and enhancers Func:onal interac:ons 343 (0.8%) Phillips-‐Cremins et al, Cell, 2013 Anchored enhancers are H3K27Ac+ (func:onal) Anchored promoters are transcrip:onally ac:ve >90% of ChIA-‐PET anchors within DNaseI islands 2) ChIA-‐PET maps leapfrog interacDons ENCODE: enhancers are assigned to cognate promoters based on proximity ~250kb DHS Pax5 enhancers 3) ChIA-‐PET uncovers new enhancers known enhancers E4 E5 Igκ locus J Jκ Cκ C Rpia κ light chains first NFκB site E1 E2 known enhancers Mfap5 E6 AID Solid phase high-‐throughput Transcrip:on TALEN nuclease Apobec1 DNA break Cd83 (control) Enhancers control PolII recruitment/ac:vity PolII (WT) PolII (E2 KO) Δ 190kb 4) ChIA-‐PET uncovers two kinds of gene clusters 1,231 single-‐promoter clusters Gpr183 cluster Cd83 1 promoter 12 enhancers 72 interac:ons 1,481 mul:ple-‐promoter clusters Rela cluster 66 promoters 398 interac:ons Gene families Does gene clustering influence transcrip:on? Expression (RNA-‐Seq) PolII-‐ Single promoter clusters Mul:ple promoter clusters Clec2d lincRNA E85930 Cd69 Transcrip:on of lincRNAs and their cis-‐targets is ooen coordinated Bcl11a lincRNA E123592 ES cells Promoters anchored in: Sox2 B cells ES cells 5,099 4,673 2,217 ES cells B cells Smarcd2 Tcam1 B cells Gh Cd79b Cd79b Scn4a different enhancers 94% 6% ExcepDon ES cells 5,099 4,673 2,217 B cells Acbd4 Xehim1 Xehim2 same enhancers 4 enhancers (~150kb) * * * * B cells ES cells * * * * * * * 10 enhancers (~350kb) * * * Validate CpG methylated CpG demethylated CH 3 CH 3 CH 3 CH 3 Silent promoters/enhancers Ac:ve promoters/enhancers 100 90 80 70 60 % CpG methyla:on 50 40 30 20 10 0 B cell B cell B cell B cell promoters enhancers promoters enhancers TALENs The enhancer landscape of broadly expressed genes changes during development Changes are mirrored by the dynamics of CpG methyla:on What’s the impact on transcrip:on? Differen:al enhancer usage does impact transcrip:on levels (transcrip:on is commensurate to the number of linked enhancers) loose > 2 enhancers No change gain > 2 enhancers Loose > 2 No change gain > 2 ES cells (4 enhancers) 4 fold increase in transcrip:on B cells (10 enhancers) How do genes like Myc change their enhancer landscape during development? Create comprehensive maps of TF binding in B and ES cells ES cell-‐specific factors? Digital genomic footprinDng B cell-‐specific factors? Create comprehensive maps of TF binding in B and ES cells Digital genomic footprinDng renders flanking chroma:n DNaseI hypersensi:ve TF protects binging site from DNaseI diges:on DNaseI ChIP-‐Seq valida:on PU.1 CTCF Crystal structure valida:on NFκB-‐cRel Ebf1 ES cell-‐specific factors? B cell-‐specific factors? Tissue-‐specific transcrip:on factors Tissue-‐specific genes Broadly-‐expressed genes “Relay race” transcripDonal regulaDon Cell type A! TFs! TFs! Broadly-‐expressed gene Cell type B! TFs! CH3 CH3 Why do higher organisms modulate the enhancer landscape of broadly expressed genes? 1-‐ To fine-‐tune protein levels Ac:vity 2-‐ To place basic cellular processes (prolifera:on, mo:lity, signal transduc:on) nnunder :ssue-‐specific regula:on Ac:vated cycling G0 quiescent Cell cycle entry Myc Transcriptome amplification ~10 fold (Nie et al. Cell 2012 Kouzine et al. Cell 2013) Ac:vated cycling G0 quiescent B cells must rapidly engage a burst of Myc expression to cope with fast dividing pathogens ES cells ~10 fold amplifica:on No drastic changes in cell proliferation ES cells (4 enhancers) 4 fold increase in transcrip:on B cells (10 enhancers) Kyong-‐Rim Kieffer Kwon Ewy Mathe Jason Qian Wolfgang Resch Nathanael Pruew Laura Vian Steevenson Nelson Arito Yamane Hirotaka Nakahashi NIAMS-‐NIH Funding NIAMS NCI Ethan Taylor Medical Arts NIH Myong-‐Hee Sung Ofir Hakim Songjoon Baek Lars Grøntved Gordon L. Hager NCI-‐NIH Jizhong Zou Stem Cell Ins:tute NIAMS-‐NIH Zhonghui Tang Guoliang Li Chia-‐Lin Wei Xiaoan Ruan Yijun Ruan Jackson Labs Hossein Zare Viworio Sartorelli NIAMS-‐NIH Sasha Kovalchuk NIAID-‐NIH Deepak Reyon J. Keith Joung Harvard