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Histones are the protein components of nucleosomes, the repeating units of chromatin. Their N-terminal tails are rich in lysine and arginine residues and are highly regulated by post-translational modifications (PTMs), such as acetylation, methylation, and phosphorylation. These modifications influence DNA accessibility and thereby control processes including transcription, replication, and repair. Altered histone PTM patterns are strongly associated with disease states, from cancer to neurodegeneration and aging1,2. For this reason, histone PTM analysis has become of great interest in epigenetics and proteomics research. Mass spectrometry (MS) provides site-specific and quantitative analysis of histone modifications, but histones present unique analytical challenges. Their amino acid composition, multiple modification sites, and complex combinatorial patterns make them more difficult to analyze than typical proteins. Established protocols rely on chemical derivatization to block lysine residues before digestion, improving peptide recovery and chromatographic performance3. While effective in bulk analyses, these multi-step derivatization protocols can introduce losses that are problematic for single-cell inputs. Single-cell analysis is increasingly important because biological systems are inherently heterogeneous. Bulk histone analyses average signals across many cells and thus fail to capture this variability. Subpopulations of cells may differ in their chromatin states, and these differences can drive development, cellular reprogramming, or drug responses4,5.
Here, we present an automated sample preparation method for the multiplexed single-cell histone PTM analysis (sc-hPTM2). This method relies on the CellenONE system, which allows precise dispensing of individual cells and nanoliter-scale reagents in an automated fashion. This method is a variation on the nano proteomic sample preparation (nPOP) method, which first introduced the use of droplet preparation on a glass slide6. The nPOP platform has advanced automated single-cell proteomics, yet its standard tryptic digestion protocol is suboptimal for histones due to their high lysine content and extensive modification density. Here, we adapted the CellenONE system to incorporate the gold-standard histone derivatization with propionic anhydride and introduced isotopic labeling, enabling accurate and comprehensive quantification of histone post-translational modifications at single-cell resolution. Specifically, we simplify the protocol by using ArgC Ultra protease for protein digestion. Unlike trypsin, ArgC cleaves only at arginine residues and does not require lysine blocking. This eliminates the need for a two-step derivatization strategy, streamlining the protocol. In addition, the method incorporates a two-plex isotopic labeling scheme using propionic anhydride and propionic anhydride-d10, allowing for 2 cells to be analyzed simultaneously7,3. Following digestion and labeling, single-cell samples are recovered and analyzed by liquid chromatography-mass spectrometry (LC-MS)/MS using data-independent acquisition (DIA). In our hands, this method has been shown to provide an increase in both sensitivity and reproducibility for quantification of histone PTMs as compared to the previous version of this method8.
To demonstrate the method, we profiled single-cell histone PTM dynamics in spheroids derived from HepG2/C3A hepatocellular carcinoma cells. We treated these spheroids with sodium butyrate, a well-characterized histone deacetylase inhibitor that increases histone acetylation and serves as a benchmark for probing chromatin regulation9,10. By comparing control and sodium butyrate-treated spheroids at single-cell resolution, we demonstrate a proof of principle of representative results, highlighting the potential for broader applications in chromatin biology and cancer epigenetics. Notably, for the protocol, we refer to a prior publication describing growth and treatment of 3D spheroids10, acquisition of histone peptides in mass spectrometry11, and data analysis using the software EpiProfile12.