ChIP-chip was performed on cells growing on LB or LB+arabinose. Chip results were validated with ChIP-qPCR. Motif discovery was performed in the ChIP enriched (ratio >mean + 2*stdev) regions and a motif matching the known consensus was identified. A DNA array was also used to analyze expression patterns on w-t and AraC mutants in presence or absence of arabinose. Expression changes >4 fold between w-t and mutant upon arabinose were deemed significant. The conservation of identified sites was evaluated with multiple sequence alignments against several related species.
Site directed mutagenesis and ChIP-PCR was performed on the putative ytfQ AraC-binding site, and its regulation was further established with Beta-gal assays.
ChIP assay conditions
40 ml E. coli cells expressing C-terminally TAP-tagged AraC (for ChIP-chip; SAC003; Table 1), or C-terminally FLAG-tagged AraC (for ChIP/qPCR; AMD187; Table 1) were grown in LB or LB + 0.2% arabinose at 37 °C to an OD600 of 0.6-0.8.
ChIP notes
Cells were crosslinked for 20 minutes with formaldehyde (1% final concentration), pelleted by
centrifugation and washed once with Tris-buffered saline (TBS). Cell pellets were resuspended
in 1 ml FA lysis buffer (50 mM Hepes-KOH, pH 7, 150 mM NaCl, 1 mM EDTA, 1% Triton X-
100, 0.1% sodium deoxycholate, 0.1% SDS) with 2 mg/ml lysozyme and incubated at 37 °C for
30 minutes. Samples were then chilled and sonicated for 30 minutes in a Bioruptor sonicator
(Diagenode) with 30 s on/30 s off pulsing at maximum amplitude. Samples were pelleted in a
microcentrifuge to remove debris and supernatants (“chromatin”) were saved, 1 ml FA lysis
buffer was added, and samples were stored indefinitely at -20 °C. For each immunoprecipitation
(IP), 500 μl chromatin was incubated with 300 μl FA lysis buffer, 20 μl Protein A Sepharose
slurry (50%) in TBS and either 1 μl anti-β (RNA polymerase subunit) antibody (NeoClone) or 2
μl M2 anti-FLAG antibody (Sigma) for 90 minutes at room temperature with gentle mixing on a
Labquake Rotisserie Rotator (Thermo Scientific). For ChIP of AraC-TAP, Protein A sepharose
and antibody was replaced with IgG sepharose. Beads were then pelleted at 1,500 x g in a
microcentrifuge for 1 minute. The supernatant was removed and the beads were resuspended in
750 μl FA lysis buffer and transferred to a Spin-X column (Corning). Beads were then incubated
for 3 minutes with gentle mixing on a rotisserie rotator before being pelleted at 1,500 x g in a
microcentrifuge for 1 minute. Equivalent washes were performed with FA lysis buffer, high salt
FA lysis buffer (50 mM Hepes-KOH, pH 7, 500 mM NaCl, 1 mM EDTA, 1% Triton X-100,
0.1% sodium deoxycholate, 0.1% SDS), ChIP wash buffer (10 mM Tris-HCl, pH 8.0, 250 mM
LiCl, 1 mM EDTA, 0.5% Nonidet-P40, 0.5% sodium deoxycholate) and TE (10 mM Tris-HCl,
pH 7.5, 1 mM EDTA). After the TE wash, beads were transferred to a fresh Spin-X column and
eluted with 100 μl ChIP elution buffer (50 mM Tris-HCl, pH 7.5, 10 mM EDTA, 1% SDS) for
10 minutes at 65 °C with occasional agitation. Eluted samples were centrifuged at 1,500 x g in a
microcentrifuge for 1 minute. Supernatants were decrosslinked by boiling for 10 minutes and
cleaned up using a PCR purification kit (Qiagen). For all ChIP/qPCR and ChIP-chip
experiments, 20 μl chromatin was decrosslinked by boiling for 10 minutes and cleaned up using
a PCR purification kit (Qiagen). This sample served as the “input” control.
ChIP samples from 8 independent cultures grown in the presence of arabinose
were combined and ethanol precipitated to reduce volume. 8 samples were required to generate
sufficient DNA for dye labeling. These samples were labeled with Cy3 dye as described
previously (23). 100 ng input DNA was labeled with Cy5 dye. Dye-labeled samples were
combined and hybridised to the custom-designed Agilent microarrays in a hybridisation oven
(Agilent) according to the manufacturer’s instructions. Microarray slides were washed and
scanned using an Agilent scanner and Agilent software was used to determine Cy3/Cy5 ratios for
all probes. Any probes with a score of <1,000 pixels for either Cy3 or Cy5 were removed as
these are likely to indicate regions deleted in the strain used. We selected an arbitrary cut-off for
Cy3/Cy5 ratio of two standard deviations above the mean to select putative AraC-bound regions.
Regulated genes for each binding site are displayed below. Gene regulation diagrams
show binding sites, positively-regulated genes,
negatively-regulated genes,
both positively and negatively regulated
genes, genes with unspecified type of regulation.
For each indvidual site, experimental techniques used to determine the site are also given.
Reporter assay using the beta-galactosidase (lacZ) gene.
The lacZ gene is typically fused to the promoter of interest. Differential regulation of the promoter mediated by the TF is assessed by induction of the system and evaluation of lacZ expression. Bacteria expressing lacZ appear blue when grown on a X-gal medium.
The assay is often performed using a plasmid borne construction on a lacZ(def) strain.
The principle of ChIP-chip is simple. The first step is to cross-link the protein-DNA complex. This is done using a fixating agent, such as formaldehyde. The cross-linking can later be reversed with heat. Cross-linking kills the cell, giving a snapshot of the bound TF at a given time. The cell is then lysed, the DNA sheared by sonication and the chromatin[2] (TF-DNA complexes) is pulled down using an antibody (i.e. immunoprecipitated). If an antibody for the TF is available, then it is used; otherwise, the TF is tagged with an epitope targeted by commercially available antibodies (the latter option is cheaper, but runs the risk of altering the TF's functionality). Cross-linking is then reversed to free the bound DNA, which is then amplified, labeled with a fluorophore and dumped onto a DNA-array. The scanned array reveals the genomic regions bound by the TF. The resolution is around ~500 bp as a result of the sonication step.
ChIP-chip (and to a lesser degree ChIP-Seq) results are often validated with ChIP-PCR, in which a PCR with specific primers is performed on the pulled-down DNA. As in the case of RNASeq, there are many variations of these main techniques.
In motif discovery, we are given a set of sequences that we suspect harbor binding sites for a given transcription factor. A typical scenario is data coming from expression experiments, in which we wish to analyze the promoter region of a bunch of genes that are up- or down-regulated under some condition. The goal of motif discovery is to detect the transcription factor binding motif (i.e. the sequence “pattern” bound by the TF), by assuming that it will be overrepresented in our sample of sequences. There are different strategies to accomplish this, but the standard approach uses expectation maximization (EM) and in particular Gibbs sampling or greedy search. Popular algorithms for motif discovery are MEME, Gibbs Motif Sampler or CONSENSUS. More recently, motif discovery algorithms that make use of phylogenetic foot-printing (the idea that TF-binding site will be conserved in the promoter sequences for the same gene in different species) have become available. These are not usually applied to complement experimental work, but can be used to provide a starting point for it. Popular algorithms include FootPrinter and PhyloGibbs.
Target-specific mutation, as opposed to non-specific mutation.
In the context of TF-binding sites, site-directed mutagenesis is typically used to establish/confirm the specific sequence and location of a site, often in tandem with EMSA.
Different positions of a putative binding site are mutated to non-consensus (or random) bases and binding to the mutated site is evaluated through EMSA or other means. Often implemented only in conserved motif positions or serially through all positions of a site.
The principle of ChIP-chip is simple. The first step is to cross-link the protein-DNA complex. This is done using a fixating agent, such as formaldehyde. The cross-linking can later be reversed with heat. Cross-linking kills the cell, giving a snapshot of the bound TF at a given time. The cell is then lysed, the DNA sheared by sonication and the chromatin[2] (TF-DNA complexes) is pulled down using an antibody (i.e. immunoprecipitated). If an antibody for the TF is available, then it is used; otherwise, the TF is tagged with an epitope targeted by commercially available antibodies (the latter option is cheaper, but runs the risk of altering the TF's functionality). Cross-linking is then reversed to free the bound DNA, which is then amplified, labeled with a fluorophore and dumped onto a DNA-array. The scanned array reveals the genomic regions bound by the TF. The resolution is around ~500 bp as a result of the sonication step.
ChIP-chip (and to a lesser degree ChIP-Seq) results are often validated with ChIP-PCR, in which a PCR with specific primers is performed on the pulled-down DNA. As in the case of RNASeq, there are many variations of these main techniques.
In motif discovery, we are given a set of sequences that we suspect harbor binding sites for a given transcription factor. A typical scenario is data coming from expression experiments, in which we wish to analyze the promoter region of a bunch of genes that are up- or down-regulated under some condition. The goal of motif discovery is to detect the transcription factor binding motif (i.e. the sequence “pattern” bound by the TF), by assuming that it will be overrepresented in our sample of sequences. There are different strategies to accomplish this, but the standard approach uses expectation maximization (EM) and in particular Gibbs sampling or greedy search. Popular algorithms for motif discovery are MEME, Gibbs Motif Sampler or CONSENSUS. More recently, motif discovery algorithms that make use of phylogenetic foot-printing (the idea that TF-binding site will be conserved in the promoter sequences for the same gene in different species) have become available. These are not usually applied to complement experimental work, but can be used to provide a starting point for it. Popular algorithms include FootPrinter and PhyloGibbs.
The principle of ChIP-chip is simple. The first step is to cross-link the protein-DNA complex. This is done using a fixating agent, such as formaldehyde. The cross-linking can later be reversed with heat. Cross-linking kills the cell, giving a snapshot of the bound TF at a given time. The cell is then lysed, the DNA sheared by sonication and the chromatin[2] (TF-DNA complexes) is pulled down using an antibody (i.e. immunoprecipitated). If an antibody for the TF is available, then it is used; otherwise, the TF is tagged with an epitope targeted by commercially available antibodies (the latter option is cheaper, but runs the risk of altering the TF's functionality). Cross-linking is then reversed to free the bound DNA, which is then amplified, labeled with a fluorophore and dumped onto a DNA-array. The scanned array reveals the genomic regions bound by the TF. The resolution is around ~500 bp as a result of the sonication step.
ChIP-chip (and to a lesser degree ChIP-Seq) results are often validated with ChIP-PCR, in which a PCR with specific primers is performed on the pulled-down DNA. As in the case of RNASeq, there are many variations of these main techniques.
In motif discovery, we are given a set of sequences that we suspect harbor binding sites for a given transcription factor. A typical scenario is data coming from expression experiments, in which we wish to analyze the promoter region of a bunch of genes that are up- or down-regulated under some condition. The goal of motif discovery is to detect the transcription factor binding motif (i.e. the sequence “pattern” bound by the TF), by assuming that it will be overrepresented in our sample of sequences. There are different strategies to accomplish this, but the standard approach uses expectation maximization (EM) and in particular Gibbs sampling or greedy search. Popular algorithms for motif discovery are MEME, Gibbs Motif Sampler or CONSENSUS. More recently, motif discovery algorithms that make use of phylogenetic foot-printing (the idea that TF-binding site will be conserved in the promoter sequences for the same gene in different species) have become available. These are not usually applied to complement experimental work, but can be used to provide a starting point for it. Popular algorithms include FootPrinter and PhyloGibbs.
The principle of ChIP-chip is simple. The first step is to cross-link the protein-DNA complex. This is done using a fixating agent, such as formaldehyde. The cross-linking can later be reversed with heat. Cross-linking kills the cell, giving a snapshot of the bound TF at a given time. The cell is then lysed, the DNA sheared by sonication and the chromatin[2] (TF-DNA complexes) is pulled down using an antibody (i.e. immunoprecipitated). If an antibody for the TF is available, then it is used; otherwise, the TF is tagged with an epitope targeted by commercially available antibodies (the latter option is cheaper, but runs the risk of altering the TF's functionality). Cross-linking is then reversed to free the bound DNA, which is then amplified, labeled with a fluorophore and dumped onto a DNA-array. The scanned array reveals the genomic regions bound by the TF. The resolution is around ~500 bp as a result of the sonication step.
ChIP-chip (and to a lesser degree ChIP-Seq) results are often validated with ChIP-PCR, in which a PCR with specific primers is performed on the pulled-down DNA. As in the case of RNASeq, there are many variations of these main techniques.
In motif discovery, we are given a set of sequences that we suspect harbor binding sites for a given transcription factor. A typical scenario is data coming from expression experiments, in which we wish to analyze the promoter region of a bunch of genes that are up- or down-regulated under some condition. The goal of motif discovery is to detect the transcription factor binding motif (i.e. the sequence “pattern” bound by the TF), by assuming that it will be overrepresented in our sample of sequences. There are different strategies to accomplish this, but the standard approach uses expectation maximization (EM) and in particular Gibbs sampling or greedy search. Popular algorithms for motif discovery are MEME, Gibbs Motif Sampler or CONSENSUS. More recently, motif discovery algorithms that make use of phylogenetic foot-printing (the idea that TF-binding site will be conserved in the promoter sequences for the same gene in different species) have become available. These are not usually applied to complement experimental work, but can be used to provide a starting point for it. Popular algorithms include FootPrinter and PhyloGibbs.
The principle of ChIP-chip is simple. The first step is to cross-link the protein-DNA complex. This is done using a fixating agent, such as formaldehyde. The cross-linking can later be reversed with heat. Cross-linking kills the cell, giving a snapshot of the bound TF at a given time. The cell is then lysed, the DNA sheared by sonication and the chromatin[2] (TF-DNA complexes) is pulled down using an antibody (i.e. immunoprecipitated). If an antibody for the TF is available, then it is used; otherwise, the TF is tagged with an epitope targeted by commercially available antibodies (the latter option is cheaper, but runs the risk of altering the TF's functionality). Cross-linking is then reversed to free the bound DNA, which is then amplified, labeled with a fluorophore and dumped onto a DNA-array. The scanned array reveals the genomic regions bound by the TF. The resolution is around ~500 bp as a result of the sonication step.
In motif discovery, we are given a set of sequences that we suspect harbor binding sites for a given transcription factor. A typical scenario is data coming from expression experiments, in which we wish to analyze the promoter region of a bunch of genes that are up- or down-regulated under some condition. The goal of motif discovery is to detect the transcription factor binding motif (i.e. the sequence “pattern” bound by the TF), by assuming that it will be overrepresented in our sample of sequences. There are different strategies to accomplish this, but the standard approach uses expectation maximization (EM) and in particular Gibbs sampling or greedy search. Popular algorithms for motif discovery are MEME, Gibbs Motif Sampler or CONSENSUS. More recently, motif discovery algorithms that make use of phylogenetic foot-printing (the idea that TF-binding site will be conserved in the promoter sequences for the same gene in different species) have become available. These are not usually applied to complement experimental work, but can be used to provide a starting point for it. Popular algorithms include FootPrinter and PhyloGibbs.
The principle of ChIP-chip is simple. The first step is to cross-link the protein-DNA complex. This is done using a fixating agent, such as formaldehyde. The cross-linking can later be reversed with heat. Cross-linking kills the cell, giving a snapshot of the bound TF at a given time. The cell is then lysed, the DNA sheared by sonication and the chromatin[2] (TF-DNA complexes) is pulled down using an antibody (i.e. immunoprecipitated). If an antibody for the TF is available, then it is used; otherwise, the TF is tagged with an epitope targeted by commercially available antibodies (the latter option is cheaper, but runs the risk of altering the TF's functionality). Cross-linking is then reversed to free the bound DNA, which is then amplified, labeled with a fluorophore and dumped onto a DNA-array. The scanned array reveals the genomic regions bound by the TF. The resolution is around ~500 bp as a result of the sonication step.
ChIP-chip (and to a lesser degree ChIP-Seq) results are often validated with ChIP-PCR, in which a PCR with specific primers is performed on the pulled-down DNA. As in the case of RNASeq, there are many variations of these main techniques.
In motif discovery, we are given a set of sequences that we suspect harbor binding sites for a given transcription factor. A typical scenario is data coming from expression experiments, in which we wish to analyze the promoter region of a bunch of genes that are up- or down-regulated under some condition. The goal of motif discovery is to detect the transcription factor binding motif (i.e. the sequence “pattern” bound by the TF), by assuming that it will be overrepresented in our sample of sequences. There are different strategies to accomplish this, but the standard approach uses expectation maximization (EM) and in particular Gibbs sampling or greedy search. Popular algorithms for motif discovery are MEME, Gibbs Motif Sampler or CONSENSUS. More recently, motif discovery algorithms that make use of phylogenetic foot-printing (the idea that TF-binding site will be conserved in the promoter sequences for the same gene in different species) have become available. These are not usually applied to complement experimental work, but can be used to provide a starting point for it. Popular algorithms include FootPrinter and PhyloGibbs.
The principle of ChIP-chip is simple. The first step is to cross-link the protein-DNA complex. This is done using a fixating agent, such as formaldehyde. The cross-linking can later be reversed with heat. Cross-linking kills the cell, giving a snapshot of the bound TF at a given time. The cell is then lysed, the DNA sheared by sonication and the chromatin[2] (TF-DNA complexes) is pulled down using an antibody (i.e. immunoprecipitated). If an antibody for the TF is available, then it is used; otherwise, the TF is tagged with an epitope targeted by commercially available antibodies (the latter option is cheaper, but runs the risk of altering the TF's functionality). Cross-linking is then reversed to free the bound DNA, which is then amplified, labeled with a fluorophore and dumped onto a DNA-array. The scanned array reveals the genomic regions bound by the TF. The resolution is around ~500 bp as a result of the sonication step.
ChIP-chip (and to a lesser degree ChIP-Seq) results are often validated with ChIP-PCR, in which a PCR with specific primers is performed on the pulled-down DNA. As in the case of RNASeq, there are many variations of these main techniques.
In motif discovery, we are given a set of sequences that we suspect harbor binding sites for a given transcription factor. A typical scenario is data coming from expression experiments, in which we wish to analyze the promoter region of a bunch of genes that are up- or down-regulated under some condition. The goal of motif discovery is to detect the transcription factor binding motif (i.e. the sequence “pattern” bound by the TF), by assuming that it will be overrepresented in our sample of sequences. There are different strategies to accomplish this, but the standard approach uses expectation maximization (EM) and in particular Gibbs sampling or greedy search. Popular algorithms for motif discovery are MEME, Gibbs Motif Sampler or CONSENSUS. More recently, motif discovery algorithms that make use of phylogenetic foot-printing (the idea that TF-binding site will be conserved in the promoter sequences for the same gene in different species) have become available. These are not usually applied to complement experimental work, but can be used to provide a starting point for it. Popular algorithms include FootPrinter and PhyloGibbs.
The principle of ChIP-chip is simple. The first step is to cross-link the protein-DNA complex. This is done using a fixating agent, such as formaldehyde. The cross-linking can later be reversed with heat. Cross-linking kills the cell, giving a snapshot of the bound TF at a given time. The cell is then lysed, the DNA sheared by sonication and the chromatin[2] (TF-DNA complexes) is pulled down using an antibody (i.e. immunoprecipitated). If an antibody for the TF is available, then it is used; otherwise, the TF is tagged with an epitope targeted by commercially available antibodies (the latter option is cheaper, but runs the risk of altering the TF's functionality). Cross-linking is then reversed to free the bound DNA, which is then amplified, labeled with a fluorophore and dumped onto a DNA-array. The scanned array reveals the genomic regions bound by the TF. The resolution is around ~500 bp as a result of the sonication step.
ChIP-chip (and to a lesser degree ChIP-Seq) results are often validated with ChIP-PCR, in which a PCR with specific primers is performed on the pulled-down DNA. As in the case of RNASeq, there are many variations of these main techniques.
In motif discovery, we are given a set of sequences that we suspect harbor binding sites for a given transcription factor. A typical scenario is data coming from expression experiments, in which we wish to analyze the promoter region of a bunch of genes that are up- or down-regulated under some condition. The goal of motif discovery is to detect the transcription factor binding motif (i.e. the sequence “pattern” bound by the TF), by assuming that it will be overrepresented in our sample of sequences. There are different strategies to accomplish this, but the standard approach uses expectation maximization (EM) and in particular Gibbs sampling or greedy search. Popular algorithms for motif discovery are MEME, Gibbs Motif Sampler or CONSENSUS. More recently, motif discovery algorithms that make use of phylogenetic foot-printing (the idea that TF-binding site will be conserved in the promoter sequences for the same gene in different species) have become available. These are not usually applied to complement experimental work, but can be used to provide a starting point for it. Popular algorithms include FootPrinter and PhyloGibbs.