To demonstrate the application of our single-cell histone proteomics workflow using our system, we analyzed spheroids of HepG2/C3A cells treated with 5 mM sodium butyrate for 24 h. After LC-MS/MS acquisition, raw data were processed with EpiProfile for both light (propionic anhydride) and heavy (propionic anhydride-d10) labeling, obtaining normalized data representing the abundances of the peptides and histone marks. The QuantQC R package was then used to map the acquisition metadata of the liquid handler to the EpiProfile outputs in order to get the information of the peptides content and related abundance for each cell, then were filter out peptidoforms not consistently detected in at least 50% of the single cells, and excluded peptidoforms whose signal of the single cell intensity is not greater than the 150% signal in blanks. Data were subsequently normalized using a log(1+x) transformation to obtain the results table that is used for downstream analysis, which consists of a column with the various peptidoforms and columns for each individual cell with the abundances of the various identified peptidoforms.
Figure 7A shows a representative subset of the results table containing the first 20 histone H3 peptidoforms quantified. The values are expressed as relative abundances in control and sodium butyrate-treated conditions. This overview highlights how the workflow allows the detection of diverse PTM states at single-cell resolution, including methylation, acetylation, and combinatorial marks. For example, H3K9ac and H3K14ac both show increased relative abundance upon sodium butyrate treatment, consistent with the expected inhibition of histone deacetylases (HDACs). Similarly, histones co-modified with H3K9acK14ac appear even more enriched in the treated cells, reflecting the cooperative nature of acetylation marks in regulating chromatin accessibility.
Notably, results can be dissected into multiple layers. First, a good quality control is to ensure that an overall increase in total histone acetylation upon sodium butyrate exposure is observed (Figure 7B). Importantly, the treated cells display a broader error distribution compared to controls, reflecting the higher heterogeneity captured at the single-cell level. This illustrates how single-cell proteomics can reveal not only average shifts in PTM levels but also the variability across individual cells within a given population. Figure 7C aims to demonstrate that, when histones are cleaved into relatively long peptides, it is possible to quantify not only the relative abundance of single modifications, but also their co-occurrence frequency. In the example, the effect of sodium butyrate is mostly evident in the combinatorial acetylation state H3K9acK14ac, which is often associated with transcriptional activation. These patterns align with the effect of sodium butyrate and show the ability of our approach to detect biologically meaningful changes in histone PTMs at the single-cell scale.
To explore global differences, we performed PCA across all quantified peptidoforms (Figure 7D). Control and treated cells separated along the first principal component, which captured ~40% of the total variance. The wider dispersion of the sodium butyrate-treated cells indicates increased biological heterogeneity, consistent with variable acetylation responses among individual cells within the spheroids following HDAC inhibition.
These representative results demonstrate the efficiency and robustness of the workflow in capturing histone post-translational modifications at single-cell resolution and preserve information on cell-to-cell variability. By integrating sample preparation, acquisition, and computational analysis, this pipeline provides a practical and reproducible approach for profiling histone PTMs in single cells, making it suitable for broader applications in chromatin biology and drug-response studies.

Figure 1: 3D culture system and spheroids. (A) 3D cell culture system. The bioreactor on the right is the device in which the cells are cultured. On the left is the incubator, which can hold up to 6 bioreactors and maintains a specific rotation speed, CO2 level, and temperature. (B) HepG2/C3A spheroids during sodium butyratetreatment. The spheroids are cultured in 6-wells plate during the treatment with 5 mM of sodium butyrate for 24 h. Panel A has been modified with permission from https://celvivo.com/. Please click here to view a larger version of this figure.

Figure 2: CellenONE instrument system. (A) Internal view of the instrument where sample preparation takes place. The figure shows the bottle containing milliQ water that feeds the instrument's liquid system, the nozzles involved in dispensing reagents and cells connected to the pumps, the glass slides loaded into the slide holder, the holder for the 384-well plate, and the cellenWASH station where the PCR tubes with reagents are placed. (B) PDC-70, coating-type 2 dispensing nozzles. The nozzles used during sample preparation are in positions 1 and 3. The nozzle in position 1 dispenses the cells, while the one in position 3 dispenses all the reagents used. The coated nozzles reduce cell and peptides sticking, useful for cell dispensing and optimal pick-up. Moreover, it gives a more reproducible droplet size. Compatible with all the reagents used in this protocol. (C) Glass slides sciCHIP H1 loaded. In the picture, there are two slides loaded in the slide holder that can hold up to 4 slides. The slides need to be very clean, flat, and aligned with the top right corner. Please click here to view a larger version of this figure.

Figure 3: 2-plex pattern and workflow for sample preparation, data collection and data analysis. (A) Representation of the 2-plex pattern and DMSO moat. The figure shows the DMSO moat, which prevents excessive drying of the droplets during sample preparation, and the 2-plex pattern following DMSO dispensing. It also shows the difference between the 2-plex pattern described in this protocol and what is expected in an nPOP experiment with TMT 35-plex labeling. (B) Schematic overview of the experimental pipeline. Sample preparation takes place over two days: in the first part, DMSO, single cells, and the master mix for digestion are dispensed. The digestion is incubated overnight, during which photos of the droplets on the slides are taken every 30 min. In the second phase, after evaporation of any excess water that may have formed, labeling, quenching, and finally the pick-up of the cell sets in a 384-well plate are performed. Processed samples are analyzed by mass spectrometry, and the resulting data are subjected to computational analysis to obtain a quantitative profile of histone PTMs. Please click here to view a larger version of this figure.

Figure 4: Accuracy of dispensed drops. (A) Images of autodrop test of the droplets. The first two images above show two autodrop test images in which the reagent is mainly composed of water. The first shows a correctly formed drop, while the second shows an incorrect drop that will need to be fixed before continuing with the preparation. The first two images below show two autodrop test images in which the reagent is mainly composed of DMSO. First, note how the DMSO appears transparent compared to water, and as in the previous images, one can see a correctly formed drop and an incorrect drop that will need to be corrected before continuing with the preparation. (B) Examples of fields scanned after dispensing. In the figure, the first image shows a successful dispensing in which the drops have the correct shape. The second shows drops that are too dry and therefore reduced in size, while the last shows drops that are too swollen and increased in size, where some have even merged. (C) Image of a field file used for DMSO dispensing. Representation of a file in which the position of the drops, the volume, the probe from which the reagent is dispensed, and the nozzle used are determined. Please click here to view a larger version of this figure.

Figure 5: Types of visualizations during cell sorting. (A) CellenONE dispensing viewer. The figure shows the window that opens during cell sorting. Cells can be isolated based on transmission, which mainly determines size and elongation, while fluorescence is used to isolate live cells based on intensity, following the use of dyes such as SytoxGreen, which tag dead cells. The bottom part shows the cells plotted during analysis and isolation, depending on whether they are detected, isolated, or not. (B) Visualization of cell isolation based on transmission. The single cell is about to be isolated based on characteristics determined after mapping and analysis. Cells sticking to the glass tip outside the nozzle following sample aspiration are noted; these do not interfere with isolation, as they are indicated as background. Please click here to view a larger version of this figure.

Figure 6: Evaporation step. The first image shows a scan field after overnight incubation of the digestion, in which the droplets are slightly swollen due to water collected from the humidity present in the system. The excess water is evaporated so that it does not interfere with the efficiency of labeling. The second image shows a scan field of droplets after the evaporation step, ready for the next labeling step. Please click here to view a larger version of this figure.

Figure 7: Data analysis of histone PTMs at a single cell level. (A) Table list of identified peptides with post-transcriptional modification sites and relative abundance of each of them in both conditions, control and treated. In this results table, every column corresponds to a cell. (B) Relative abundance of acetylation in the total of cells. (C) Relative abundance of acetylation for representative peptides of single and combinatorial modifications. (D) Principal component analysis (PCA) was performed to show the separation of the two cell groups and the heterogeneity of the treated cells. Please click here to view a larger version of this figure.