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DNA:chromatin interactions. Exploring transcription factor binding and the epigenomic landscape Lisa Stubbs. Eukaryotic genomes are complex structures comprised of modified and unmodified DNA, RNA and many types of interacting proteins.

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dna chromatin interactions

DNA:chromatin interactions

Exploring transcription factor binding and the epigenomic landscape

Lisa Stubbs

slide2
Eukaryotic genomes are complex structures comprised of modified and unmodified DNA, RNA and many types of interacting proteins
  • Most DNA is wrapped around a “histone core”, to form nucleosomes
  • The classical histone protein complexes bind very tightly to DNA and prevent association with other proteins
  • Modifications of the classical histones, or their replacement with unusual histone types under certain conditions, can “loosen” the interaction with DNA, allowing access to transcription factors, RNA polymerase, and other proteins
slide3

All four histones in the tetramer have “tails” that can be modified in various ways, but the most consequential modifications, with respect to transcriptional activity, appear to involve methylation or acetylation of Lysines (K) in histone H3

histone h3 modifications especially methylation and acetylation mark open or closed dna
Histone H3 modifications, especially methylation and Acetylation, mark “open” or “closed” DNA
  • CLOSED: Histones bound more tightly to DNA
    • H3K27Me3, H3K9Me3
  • OPEN: Histones can be displaced by TFs, RNA Polymerase, and other proteins
    • H2K27Ac, HeK4me1, H3K4me3
  • Histone marks, together with other assays of open chromatin, are presently the onlyreliable indicators of the locations and activities of regulatory elements
many types of regulatory elements
Many types of regulatory elements
  • “Docking sites” for site-specific regulatory proteins
    • Transcription factors, TATA binding factors, and other site-specific binders
    • Recruit additional proteins: co-factors, RNA polymerase and others
  • Enhancers
    • Tissue-specific activators of transcription
    • Binding sites for proteins that interact with the promoter to enhance transcription
  • Silencers
    • Also prevalent, but more difficult to detect and assay
    • Many transcription factors repress, rather than enhance, gene expression
    • “Enhancers” and “Silencers” are not mutually exclusive! Most regulatory elements can serve either function, depending on the proteins bound at a particular time
  • Insulators
    • “boundary elements” that shield genes from the enhancers or heterochromatin proteins in neighboring gene “territories”
    • Involved in establishing loop structures that isolate genes
how to find them chromatin immunoprecipitation chip
How to find them? Chromatin ImmunoPrecipitation (ChIP)
  • Antibody to a DNA binding protein is used to “fish out” DNA bound to the protein in a living cell
    • DNA and protein are crosslinked in the cell using brief treatment with low concentration of high quality formaldehyde
    • Crosslinked chromatin is sheared, usually by sonication, to yield short fragments of DNA+protein complexes
    • Antibody to a TF or other binding protein used to fish out fragments containing that DNA binding protein
    • DNA is then “released” and can be analyzed by various methods:
      • Original method is PCR: query for enrichment of specific (known or suspected) DNA binding regions in ChIP-enriched DNA
  • Creates a pool of sequences highly enriched in binding sites for a particular protein
    • Requires availability of excellent antibodies that can detect the protein in its in vivo context
chip can be used to map dna protein interactions of virtually any type
ChIP can be used to map DNA:protein interactions of virtually any type
  • Histone modifications:
  • Secondary interactions (no direct linkage to DNA)
    • Histone modifying proteins, such as SWI/SNF, histone deacetylases, histone methylases
    • Cofactors that bind to TFs at particular sites, and that stablize chromatin loops
    • Proteins that link chromatin to nuclear matrix
  • RNA polymerase and elongation factors, to find promoters and active sites of transcription
  • Proteins involved in DNA recombination, repair, and replication
  • All of these methods require highly specific and efficient antibodies (which are rare!)
chip analytical challenges
ChIP Analytical challenges
  • Genomic neighborhoods
    • Shear efficiency is not really “random”
      • Some genomic regions are fragile and sensitive
      • Some regions are protected from shear or degradation
    • “Sticky” chromatin
      • Some DNA regions bind to any antibody you use
      • Chromatin-matched, co-sheared controls are essential, but mock ChIP (with IgG treatment) is helpful too
    • Other artifacts
      • Centromeres: repeat sequences that are not all represented in the genome sequence build
      • Polymorphic regions, and e.g. regions that are amplified in cell line DNA
      • Repeats: most programs cannot manage sequence reads that are not mapped uniquely
  • Peak width
    • Transcription factors are typically sharp peaks; chromatin marks are more diffuse
  • The best tools permit the user to modify these parameters
    • MACS ( Xiaole Liu Lab; Zhang et al, 2008; Feng et al. Nature Methods 2102) is a user-friendly and widely used tool
slide9

ChIP computational issues

  • First step is to map reads: BOWTIE,Novalign, BWA or other
  • ChIP seq reads surround but may not contain the DNA binding site
    • Sequence is generated from the ends of randomly sheared fragments, which overlap at the protein binding site
  • Gives rise to two adjacent sets of read peaks separated by ~ 2X fragment length
  • Defines a “shift” distance between read peaks at which you will find the true ChIP peak summit
  • Programs like MACS automatically subtracts your control (genomic input) from sample reads to define a final set of peaks

Binding site

Seq reads

ChIP fragments

traditional methods fail with broad flat peaks
Traditional methods fail with broad, flat peaks
  • Most tools designed for TF proteins: discreet, sharp peaks
  • Certain chromatin proteins, and modified histones in certain regions, bind continuously to large regions of chromatin and do not yield “peaks”
  • MACS in default mode will carve the “mesa” into many peaks, or not detect it at all
  • New settings in MACS 2 can be set to overcome this problem
  • Other tools, e.g. Zinba(R-based) are designed specifically for this problem
dnase sensitivity assays are antibody free
DNAse sensitivity assays are antibody free

The first approach: from Crawford et al., Genome Research 16:123, 2006 (Francis Collins’ laboratory)

  • Digest with DNAse I to “erase” all the hypersensitive regions
    • Easier to do– less need to optimize and minimize DNAse cutting
  • Polish and ligate the remaining double-strand ends
  • Ligate 5’-biotinylated linkers to the DS ends
  • Shear (sonicate) or restriction-digest DNA into smaller fragments
  • Purify end sequences on a streptavidin column
  • Release sequences, add new linkers, and sequence
    • Does not allow footprinting, because TF binding sites inside the HS regions have been digested away
slide12
Latest (and better) approach: sequences DNAse sensitive regions per se and permits transcription factor “Footprinting”
  • The easiest method uses low concentrations of Dnase I to generate short fragments at sensitive (“open) sites
  • Released fragments can be blunt-ended, ligated to linkers and sequenced directly
  • Permits DNase Footprinting: Very deep sequencing can “see” short protected regions that are absent from the released DNA, and appear as protected “valleys” inside the DNAse sensitive peaks
    • protected from DNAse I because they are occupied by TF proteins
related methods and twists on the theme see furey et al 2012 for review
Related methodsand twists on the theme (see Furey et al., 2012 for review)
  • Exo-ChIP
    • Follows sonication with an exonuclease step, to “pare back” all but the protein-protected region in ChIP
  • Nano-ChIP
    • ChIP normally required ~107 cells as input; hard to achieve for many cell types
    • Nano ChIP can be carried out in two ways:
      • With carrier DNA: not the best for sequence analysis but can be done
      • Amplification after ChIP: very tricky because it can cause serious biases and artifacts, but can be done with care; linear amplification is the best strategy
  • FAIRE: formaldehyde assisted isolation of regulatory elements
    • Takes advantage of the fact that open chromatin regions are hypersensitive also to shearing and chromatin prep steps
    • Basically, analyzes the input chromatin from a ChIP experiment: no antibodies required
    • Sensistive regions are digested away, creating a “valley” while protected regions are retained and create a “peak”
lessons from encode chromatin assays human data
Lessons from ENCODE chromatin assays: human data
  • Massive deep-sequencing of multiple chromatin features in cell lines (ENCODE), primary cell types and tissues (Epigenetics Roadmap)
  • Histone H3 modifications: highlight on H3K4me1, H3K4me3, H3K27Ac, H3K27me3
  • Other chromatin proteins: e.g. P300 (acetyltransferase)
    • H3K4me3 marks are enriched at active promoters
      • H3K4me3 marks are largely the same in all cell lines, with a small fraction of marks being cell-specific
    • P300, and H3K4me1 without H3K4me3 is enriched at enhancers
      • Most P300 peaks also contain H3K4 me1
      • P300, H3K4me1 marks are highly cell-type specific
      • Most P300 marks are enhancers, but not all enhancers have P300
      • Most enhancers have an H3K4me1 mark but, not all H3K4me1 marks are in enhancers
    • Other marks: H3K27Ac or H3K27me3
      • Mutually exclusive marks for open (Ac) versus closed (Me3) chromatin regions
      • H3K27Ac is perhaps the most general mark of open chromatin: promoters and enhancers
      • Can be found in combination with H3K4 me1/me3
combinatorial marks define subclasses of enhancers
Combinatorial marks define subclasses of enhancers
  • H3K4me1+ , H3K27Ac + mark enhancers with highest levels of activity
    • Represent cell-type specific active enhancers in differentiated cells
    • Mouse enhancers: gain K27Ac upon differentiation in mouse ES cells, leading to higher expression
  • K4me1+, K27Ac- marks
    • Called “intermediate” enhancers, linked to a variety of non-specific cellular functions
  • In humans especially, K4me1+, K27me3+ are called “poised” enhancers,
    • K27me3 is a mark of polycomb repression; polycomb proteins are also associated with these sites
    • K9me3+ marks also found at poised enhancers
    • These enhancers are associated specifically with development-related functions; K27me3 may be replaced by K27Ac as differentiation progresses
    • Poised enhancers are more likely to be conserved between species, and therefore most of the enhancers that have been tested so far are probably of this subclass
  • Explains why K4me1 does not always find active enhancers (finds the “poised’ ones too)
other properties of human enhancers
Other properties of human enhancers
  • A subset of human enhancers have been shown to give rise to non-coding RNA
    • ChIP with the RNA pol2 antibody identifies binding to enhancers that are far from any known gene promoters
      • Do not have marks that are shared by other types of promoters (e.g. H3K4me3)
      • Some are verified enhancer loci, e.g. the beta-globin control region gives rise to a regulatory RNA
  • Histone marks other than H3K4 and H3K27 are also found
    • For example, H2 variant H2AZ and H3 variant, H3.3
    • Double variant (H2AZ/H3.3) marks are common at enhancers
    • These two histone marks associate weakly with DNA and may be stripped away by most usual treatments (e.g. low salt)
    • This alters the view that “open chromatin” is fully depleted of nucleosomes; rather, it suggests the presence of different types of nucleosomes that are more loosely bound to DNA
  • More sites of open chromatin (e.g. DNAse sensitive) exist that have not been associated with any specific protein, implying that the story is still more complicated
overview encode and modencode
Overview: ENCODE and modENCODE
  • Data paint an extremely similar picture for human, mouse and Drosophilacis-regulatory landscapes
  • Promoters marked by H3K4Me3
  • Active enhancers marked by H3K4me1 + H3K27Ac and p300/CBP
    • Major difference is that fewer fly enhancers are found far from a TSS
  • “Poised” enhancers marked by H3K4me1+ H3K27me3 : a mix of activating and repressing marks, waiting to be transferred to one or the other states
    • Enriched in developmentally-active transcription factor and signaling genes
  • Repressed regions marked by H3K9me3 (stable), K3K27me3 (dynamic)
    • Active or repressive marks correlate very well with expression levels in a particular cell
  • Insulators marked by CTCF and centrosomal/cytoskeletalproteins (CP190, cohesins)
  • TFBS, chromatin marks and expression data can be used to predict regulatory relationships, but the linkage between regulatory elements and “target genes” is very hard to decipher, especially in mammalian genomes