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As proof of concept, ChIP-Seq was completed for six human donors with three sets of immune cell types: naive CD4 T cells (CD4), classical monocytes (MO) and natural killer cells (NK), enriched by FACS sorting as described before13. The underlined procedure consists of nine distinct procedures as represented in Figure 1.

Figure 1: General Flowchart for the procedure. (A) A cartoon of the overall procedure (generated in BioRender). (B) Flow-chart for all the major steps for the protocol and the estimated hands-on and total time associated with each day. The sequencing could happen at the end of Day 5 or later with multiple rounds. The timeline can also be staggered throughout the week, where sequential Day 3-4 can be completed multiple times in a week to generate 48 ChIP samples. Please click here to view a larger version of this figure.
After cell isolation by flow cytometry13, sorted cells were centrifuged and cells fixed and stored as described above. Once all the samples were collected, the samples were lysed and prepared for chromatic shearing in batches of 12 as described above. For each sample, the number of cycles to reach optimal sonication was completed10. Quantitative measurement, as well as sheared chromatin fragment size measurements showed great reproducibility of our method on the three sets of immune cells (Figure 2A). The different human immune cells were sonicated in separate batches and yielded very consistently with > 70% of the sample between 100 - 500 bp for 14 cycles (16 s ON, 32 s OFF per cycle). At this point, samples with large fragments after sonication (< 70% of the sample between 100 - 500 bp) were considered as failed. These samples could either sonicated for 1-2 additional cycles or were discarded and replaced later with cells from another pellet. Our method showed none of the samples required more sonication or were eliminated, suggesting absolute robustness of the procedure.

Figure 2: Pre-sequencing QC examples. (A) 1.2% agarose gels show reproducibility of sonication. Sonication samples for 6 donors in three cell types: naive CD4 T cells (CD4), Classical monocytes (MO), and Natural killer cells (NK). The samples were sonicated for 14 cycles (16 s ON, 32 s OFF per cycle). For each sample about 200 ng of decrosslinked chromatin were loaded on a 1% agarose gel. Samples were considered good if more than 70 % of the fragments are within 100-500 bp. (B) Top - Analysis qPCR amplification curves to determine the optimal number of cycles for amplification (Ct where there is ½ the max intensity). The ideal samples have a Ct of about 15 and amplification can be completed up to 2 cycle more of the measured Ct. The arrow is an example of a bad example where the Ct is greater than 18. Bottom - An example of a poor set of samples is shown which have a Ct greater than 18. These samples also showed lower fluorescence intensity. (C) Left - Fragment analyzer electrophoresis traces showed the distribution of final tagmented libraries after amplification and size-selection. Samples with more than 85 % of fragment library lies within 200-1,000 bp were considered as good samples. Measurement of peak intensity of fluorescence is also considered as an important QC parameter, indeed if signal is low, the sample is unlikely to sequence well. Right - Examples for positive samples in CD4, MO, and NK are shown. Please click here to view a larger version of this figure.
After quantification, the samples were run on a ChIP liquid-handler with H3K27ac antibodies, followed by tagmentation with Tn5 transposase enzyme. To determine the appropriate number of amplification cycles by qPCR, 10% of tagmented samples were used. For the determination of the number of cycles for the amplification of the samples, we find the cycle at which the intensity of the sample is half the average maximum for cycle determination (Figure 2B). Samples with Ct values of more than 18 did not perform well post sequencing and their Ct value was thus indicative of a failed ChIP sample. These samples generally also yielded a lower amount of DNA after amplification. Samples (100,000 cells input) with a Ct value equal or lesser than 15 were ideal and samples between 15 and 18 were acceptable but less consistent post sequencing. For samples with less than 100,000 input cells, the Ct values were usually found between 15 and 18 but did not need more than 18 cycles to yield enough product for sequencing.
After DNA-tagmented amplification, libraries were purified and size-selected to obtain an ideal size distribution, ranging from 200 to 1,000 bp, for the NextGen sequencing. Size distribution assessment on each of the libraries was completed because best sequencing data were obtained when more than 85% of the DNA fragments ranged between 200 to 1,000 bp (Figure 2C). Notably, as the same quantity of DNA (measured by fluorescence quantification) was loaded, it was noticed the samples with lower fluorescence intensity generally sequenced poorly (Figure 2C).
Post sequencing, standard quality controls based on the ENCODE ChIP-Seq guidelines were applied5,14,15.

Figure 3: Reproducibility of the immune-cell samples. (A) H3K27ac tracks (UCSC Genome Browser, maximum intensity, smoothing function of 4, all with equally scaled Y-axis) for 6 donors (100,000 cells per replicate) in each cell type (CD4, MO, and NK). Four exemplary loci are shown, two with (IL2RA locus and PTPRC) and two without enrichment for H3K27ac (CCR4 and MS4A1). (B) Pearson correlation between the donors and corresponding correlation plots generated using a 300 bp extension and 500 bp window within the MEDIPS package for each of the cell type replicates16. (C) Merged donor files for each cell type showing H3K27ac tracks (UCSC Genome Browser maximum intensity, smoothing function of 4) in cell type-specific regions (IL17R for CD4, CCR2 for MO, and KLRC1 for NK) and the house-keeping gene B2M, present in all cell types. Please click here to view a larger version of this figure.
For visual quality control, H3K27ac enrichment tracks for display in the UCSC genome browser were prepared. For four gene loci, individual tracks for each sample showed high mapping quality and signal-to-noise ratio reflecting the high consistency and robustness of our assay (Figure 3A). The two loci to the left harbor well-expressed genes in these cell types, while the genes in the two loci to the right are not expressed and served as background controls13 (Figure 3A). Further, the MEDIPS analysis package was used as post-sequencing variable to assess the correlation index between technical replicates (Figure 3B)5,16,17, establishing the degree of correlation for reads enrichment level for 500 bp bins16. For the majority of the pairwise comparisons, Pearson correlations indexes showed more than 90% correlation suggesting high level of consistence between the biological replicates (Figure 3B). Replicates with acceptable correlation were merged to increase signal-to-noise ratio. While cell type-specific loci showed high enrichment in the appropriate cells, a house-keeping gene (B2M) showed very consistent histone modification (Figure 3C). For the analysis, merging tracks from replicates will increase the enrichment, reinforce the specific signal, including for important cell type-specific enhancers, and reduces the inter-individual variability inherent to human samples5.
Although 100,000 cells were used for this study, there was high reproducibility for as few as 10,000 cells in a human cultured T-cell line (HUT78). Correlation analysis between ChIP-Seq dataset performed from samples with less than 100,000 cells showed high reproducibility and correlation down to 10,000 cells (Figure 4A).

Figure 4: Reproducibility of low input samples. (A) Examples of the consistency of H3K27ac ChIP-Seq for cells 100,000 down to 10,000 in HUT-78 cells (a T-cell lymphoma cell line). The tracks (UCSC Genome Browser, maximum intensity, smoothing function of 4, all with equally scaled Y-axis) show the IL4 locus. (B) Pearson correlations of the replicates using a 300 bp extension and 500 bp window within the MEDIPS package16. (C) Pearson correlations between the different cell number groups (100,000, 50,000, and 10,000 cells) using the same MEDIPS parameters as in (B)16. Please click here to view a larger version of this figure.
Pearson correlation analysis showed high correlation index (83% to 92%), suggesting maintenance of signal in low cell number samples. However, there was increased background as the cell numbers were reduced as well as a dropping of the correlation coefficients (Figure 4B). To maintain low background signals, technical duplicates were merged, and the correlation was tested between groups (Figure 4C).
| 10X Cell Fixation Buffer | |
| Compound | Final Concentration |
| Formaldehyde solution | 11% |
| NaCl | 100 mM |
| EDTA, pH 8.0 | 1 mM |
| EGTA, pH 8.0 | 0.5 mM |
| HEPES, pH 7.5 | 50 mM |
| Complete Lysis Buffer | |
| Compound | Final Concentration |
| Tris-HCI, pH 8.0 | 50 mM |
| EDTA, pH 8.0 | 10 mM |
| SDS | 0.25% |
| Sodium Butyrate | 20 mM |
| Protease Inhibitor Cocktail | 1X |
| Short-term Lysis Buffer | |
| Compound | Final Concentration |
| Tris-HCI, pH 8.0 | 50 mM |
| EDTA, pH 8.0 | 10 mM |
| SDS | 0.25% |
| Tagmentation Mix | |
| Compound | Final Concentration |
| Tris-HCI, pH 8.0 | 10 mM |
| MgCl2 | 5 mM |
| N,N-dimethylformamide | 10% |
| Illumina tagmentation enzyme | 1:24 vol:vol |
| CtD Mix | |
| Compound | Per sample (µL) |
| NextEra Index Primer A (25 µM) | 0.275 |
| NextEra Index Primer B (25 µM) | 0.275 |
| 2X KAPA HiFi HotStart Ready Mix | 2.75 |
| 1:1000 SYBR Green dye | 0.11 |
| ROX passive dye | 0.11 |
| Water | Fill to 4 µL |
| AMP Mix | |
| Compound | Per sample (µL) |
| 2X KAPA HiFi HotStart Ready Mix | 27.5 |
| Water | Fill to 31 µL |
Supplementary Table 1: Buffer recipes.
Supplementary Table 2: Spearman and Pearson sample correlations for the 6 donors and each cell type. Please click here to download this table.