Cell
harvest and crosslinking complexes
in vivo:
Cell lysis and chromatin sonication:
Check Sonication:
10uL 1 M Tris, pH 8.0
5uL 0.5 M EDTA, pH 8.0
2.5uL Proteinase K (600 U/mL Fermentas #EO0491) (or 2ul of 900U/ml)
1st: 2 uL pellet paint (Novagen #60049)
2nd: 26 uL 3M sodium acetate pH 5.2; Mix sample briefly.
3rd: 520 uL 100% ethanol; Vortex sample.
Protein Concentration: Perform BioRad DC Protein assay on chromatin samples to determine protein concentration. Use Microplate assay protocol.
*note: The BSA used for protein assay is different than the BSA used for different steps in the IP and amplification.
1.5mg/ml = 75ul BSA + 25 ul H2O (with RIPA)
1.0mg/ml = 67ul 1.5mg/ml dilution + 33 ul H20 (with RIPA)
0.5mg/ml = 50ul 1.0mg/ml dilution + 50 ul H20 (with RIPA)
0.25mg/ml = 50ul 0.5mg/ml dilution + 50 ul H20 (with RIPA)
0.125mg/ml = 50ul 0.25mg/ml dilution + 50 ul H20 (with RIPA)
0.0625mg/ml = 50ul 0.125mg/ml dilution + 50 ul H20 (with RIPA)
0.0313mg/ml = 50ul 0.065mg/ml dilution + 50 ul H20 (with RIPA)
0.0 = 50ul H20 (with RIPA)
Mouse BMM cells dilution = 1/5
Mouse Mast cells dilution = 1/10
RAW cells dilution = 1/20
Sample preclearing and immunoprecipitation: Dilute samples (1ml final volume) to 0.5mg/ml for BMM.
For
ChIP-chip: make an additional 60ul of
0.5mg/ml for BMM to use as real
input chromatin controls:
final volume = 1.06ml. Pull out 60ul and qs to 250ul
with RIPA and set aside to reverse the crosslinks in step
29. Use the remaining 1ml for the next step:
Reversal of crosslinks and final DNA purification:
10uL 1M Tris, pH 8.0
5uL 0.5M EDTA, pH 8.0
2.0uL Proteinase K (900 U/mL Fermentas #EO0491)
1st: 2uL pellet paint (Novagen #60049) or 5ul glycogen (Fermentas)
2nd: 22uL 3M sodium acetate pH 5.2; Mix sample briefly.
3rd: 4400uL 100% EtOH; Vortex sample.
Solutions:
All solutions are made with Millipore water and should be steri-flipped
or autoclaved prior to use. Always wear gloves and a lab coat
and rinse all glassware with Millipore water prior to use.
1.5M glycine:
75.1 MW x final volume (in Liters) x 1.5M = grams of glycine
3M Sodium Acetate pH 5.2: Dissolve 408.3g of sodium acetate-3H20 in 800 ml of H20.
Adjust pH to 5.2 with glacial
acetic acid. Bring up to 1L. Autoclave.
10% SDS: Wear a mask!! Dissolve 10g of electrophoresis-grade SDS in 75mL H20.
Heat to 68°C and stir to dissolve. Adjust pH to 7.2 with HCl if necessary. Final
volume
is 0.1L. Do not autoclave!
RIPA Buffer - final volume is 50mL
10 mM Tris-HCl, pH 8.0 500 uL of 1.0 M stock
140 mM NaCl 1750 uL of 4M stock
1% Triton X-100 500 uL
0.1% SDS 500 uL of 10% stock
1% Deoxycholic acid sodium
salt 0.5 g
TE Buffer - final volume is 50 mL
10 mM Tris-HCl, pH 8.0 500 uL of 1.0 M stock
1 mM EDTA, pH 8.0 100 uL
of 0.5 M stock
1xRIPA Buffer with 1M NaCl - final volume is 100mL
0.1% SDS 1 mL of 10% stock
0.1% sodium deoxycholate 0.1 g
1% Triton X-100 1 mL
1 mM EDTA 200uL of 0.5 M stock
0.5 mM EGTA 100uL of 0.5 M stock
10 mM Tris-HCl, pH 8.0 1 mL of 1.0 M stock
140 mM NaCl 3.5mL of 4M
NaCl 5.844 g
LiCl Buffer - final volume is 100mL
0.25 M LiCl 1.06 g
1% IgePal CA-630 (same as Nonidet P-40) 1 mL
1% sodium deoxycholate 1 g
1 mM EDTA 200uL of .5 M stock
10 mM Tris-HCl pH 8.0 1
mL of 1 M stock
(2xRIPA with NaCl and LiCl
buffers are from V.A. Spencer et.al. METHODS 31 (2003) 67-75.)
Primer A2 HPLC Purified
PCR (adapted from Affymetrix protocol):
Fragment Samples:
TdT Labeling:
Two different 25-mer Affymetrix GeneChip® oligonucleotide microarrays were used for the ChIP-chip analysis. One was a custom array, which densely tiled 20 kb upstream and 20 kb downstream (and selectively, the coding regions) of genes chosen based on differential expression in preliminary microarray studies using murine RAW 264.7 cells stimulated for 60 minutes by LPS, Pam3CSK4, or Pam2CSK4. The other was the Affymetrix mouse promoter array. Hybridization and scanning of the custom tiling array was carried out using standard protocols and reagents from Affymetrix.
Analysis of the ChIP-chip data was carried out using Model-based analysis of tiling arrays (MAT), after first mapping the microarray probes to the NCBI Build 37 mouse genome assembly (mm9, July 2007), and filtering out probes that mapped to repeat regions. Probes mapping to multiple locations were excluded from all analysis. Retained probe sequences were then checked for potential overlaps with regions of repeat sequences. Tables of repeats identified by RepeatMasker and those termed simple repeats were downloaded from the UCSC mouse genome annotation browser for the July 2007 assembly. Probe sequences overlapping with a repeat region by at least a single nucleotide were also excluded from all analysis. The filtered probe mappings were then used to create custom BPMAP files for use with MAT.
MAT was run in a hierarchical manner utilizing both "multiple replicates of ChIP-chips and controls" and "single replicates of ChIP-chips/multiple replicates of controls" scenarios to efficiently identify enriched segments that were consistent across biological replicates. For most antibodies and conditions, three biological replicate experiments were performed. To illustrate our approach, take as an example analysis of the binding of transcription factor PU.1 in bone-marrow derived macrophages stimulated with LPS for 4hrs. Three independent ChIP-chip biological replicate experiments investigating PU.1 binding in macrophages stimulated with LPS for four hours were performed, which, after ChIP, DNA fragmentation, labeling, hyrbridization, etc, produced three CEL files. These three CEL files were analyzed together using MAT in the "multiple replicates of ChIP-chips and controls" scenario. For controls, we used our database of negative control CEL files for ChIP experiments using normal rabbit serum (NRS) in place of an antibody. For the custom tiling array, we have 30 NRS ChIP-chip CEL files, for the Affymetrix promoter array, we have 10 NRS ChIP-chip CEL files. MAT analysis parameters were set to their default values (intensity analysis: BandWidth = 300, MaxGap = 300, MinProbe = 10, Tvalue = 0), and segments with P-values less than 0.2 were retained for downstream processing. Running the three PU.1 ChIP-chips in comparison to the NRS ChIP-chips using MAT generates an output file (.bed.xls) of enriched segments and their associated MAT scores. In our experience, these enriched segments obtained from a "replicate combined" type of analysis generally constitute a superset of segments that would be identified from running the replicates individually with MAT. Thus, a segment being enriched in this analysis does not imply that the segment is consistently enriched across all replicates.
To address the issue of replicate consistency, we also run each of the individual PU.1 CEL files in comparison to the negative control set of ChIP-chips, giving rise to three .bed.xls files with enriched segments for each individual replicate. We also run each of the individual NRS CEL files in comparison to the complete set of negative control NRS CEL files. We then go back to the original .bed.xls file from the replicate combined analysis and find the MAT scores for the segments in the individual replicates that overlap. We then take these MAT scores from the mapping and perform a simple one-sided t-test to identify segments that have statistically significantly higher MAT scores for PU.1 than the negative control NRS ChIP-chips. Given the possibility for outlier ChIP-chips, we also perform the analysis using all possible subset pairs of ChIP-chips for the antibody, and retain the enrichment statistics for the best combination. In this manner, we identify both "high confidence" (enriched segments consistent across all three replicates) and "moderate confidence" (enriched segments consistent across at least two biological replicates) segments. Empirically defined thresholds for reporting segments are: MAT > 1.4 (for replicate combined .bed.xls file from which candidate enriched segments are selected), p < 0.05 (for t-test comparing segments across replicates), and ΔMAT (difference between average of PU.1 MAT scores and NRS MAT scores) > 0.8. Figures illustrating our overall approach are shown below.