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Reversible post-translational modifications (PTMs) are key to establishing protein-protein and protein-nucleic acid interactions that govern a majority of the signaling pathways in cells. Sequence-specific PTMs are catalyzed by transferases, and their removal is carried out by a class of reverse-acting enzymes termed "detransferases". Currently available chemoproteomic approaches have been valuable in characterizing substrates of transferases. However, proteome-wide cataloging of the substrates of detransferases is challenging, mostly due to the loss of the epitope, rendering immunoprecipitation and activity-based methods ineffective. Herein, we develop a general chemoproteomic strategy called crosslinking-assisted substrate identification (CASI) for systematic characterization of cellular targets of detransferases and successfully apply it to lysine demethylases (KDMs) which catalyze the removal of methyl groups from lysine sidechain in histones to modulate gene transcription. By setting up a targeted azido-methylamino photo-reaction deep inside the active site of KDM4, engineered to carry p -azido phenylalanine, we reveal a novel "demethylome" that has escaped the traditional methods. The proteomic survey led to the identification of a battery of nonhistone substrates of KDM4, extending the biological footprint of KDM4 beyond its canonical functions in gene transcription. A notable finding of KDM4A-mediated demethylation of an evolutionarily conserved lysine residue in eukaryotic translational initiation factor argues for a much broader role of KDM4A in ribosomal processes. CASI, representing a substantive departure from earlier approaches by shifting focus from simple peptide-based probes to employing full-length photo-activatable demethylases, is poised to be applied to >400 human detransferases, many of which have remained poorly understood due to the lack of knowledge about their cellular targets.

Soluble epoxide hydrolase (sEH) is a bifunctional enzyme responsible for lipid metabolism and is a promising drug target. Here, we report the first-in-class PROTAC small-molecule degraders of sEH. Our optimized PROTAC selectively targets the degradation of cytosolic but not peroxisomal sEH, resulting in exquisite spatiotemporal control. Remarkably, our sEH PROTAC molecule has higher potency in cellular assays compared to the parent sEH inhibitor as measured by the significantly reduced ER stress. Interestingly, our mechanistic data indicate that our PROTAC directs the degradation of cytosolic sEH via the lysosome, not through the proteasome. The molecules presented here are useful chemical probes to study the biology of sEH with the potential for therapeutic development. Broadly, our results represent a proof of concept for the superior cellular potency of sEH degradation over sEH enzymatic inhibition, as well as subcellular compartment-selective modulation of a protein by PROTACs.

Post-transcriptional modifications of RNA strongly influence the RNA structure and function. Recent advances in RNA sequencing and mass spectrometry (MS) methods have identified over 140 of these modifications on a wide variety of RNA species. Most next-generation sequencing approaches can only map one RNA modification at a time, and while MS can assign multiple modifications simultaneously in an unbiased manner, MS cannot accurately catalog and assign RNA modifications in complex biological samples due to limitations in the fragment length and coverage depth. Thus, a facile method to identify novel RNA modifications while simultaneously locating them in the context of their RNA sequences is still lacking. We combined two orthogonal modes of RNA ion separation before MS identification: high-field asymmetric ion mobility separation (FAIMS) and electrochemically modulated liquid chromatography (EMLC). FAIMS RNA MS increases both coverage and throughput, while EMLC LC-MS orthogonally separates RNA molecules of different lengths and charges. The combination of the two methods offers a broadly applicable platform to improve the length and depth of MS-based RNA sequencing while providing contextual access to the analysis of RNA modifications.

Hypermethylation of CpG regions by human DNA methyltransferase 1 (DNMT1) silences tumor-suppression genes, and inhibition of DNMT1 can reactivate silenced genes. The 5-azacytidines are approved inhibitors of DNMT1, but their mutagenic mechanism limits their utility. A synthon approach from the analogues of S -adenosylhomocysteine, methionine, and deoxycytidine recapitulated the chemical features of the DNMT1 transition state in the synthesis of 16 chemically stable transition-state mimics. Inhibitors causing both full and partial inhibition of purified DNMT1 were characterized. The inhibitors show modest selectivity for DNMT1 versus DNMT3b. Active-site docking predicts inhibitor interactions with S -adenosyl-l-methionine and deoxycytidine regions of the catalytic site, validated by direct binding analysis. Inhibitor action with purified DNMT1 is not reflected in cultured cells. A partial inhibitor activated cellular DNA methylation, and a full inhibitor had no effect on cellular DNA methylation. These compounds provide chemical access to a new family of noncovalent DNMT chemical scaffolds for use in DNA methyltransferases.

Techniques that allow single cell analysis are gaining widespread attention, and most of these studies utilize genomics-based approaches. While nanofluidic technologies have enabled mass spectrometric analysis of single cells, these measurements have been limited to metabolomics and lipidomic studies. Single cell proteomics has the potential to improve our understanding of intercellular heterogeneity. However, this approach has faced challenges including limited sample availability, as well as a requirement of highly sensitive methods for sample collection, cleanup, and detection. We present a technique to overcome these limitations by combining a micropipette (pulled glass capillary) based sample collection strategy with offline sample preparation and nanoLC-MS/MS to analyze proteins through a bottom-up proteomic strategy. This study explores two types of proteomics data acquisition strategies namely data-dependent (DDA) and data-independent acquisition (DIA). Results from the study indicate DIA to be more sensitive enabling analysis of >1600 proteins from ∼130 μm Xenopus laevis embryonic cells containing <6 nL of cytoplasm. The method was found to be robust in obtaining reproducible protein quantifications from single cells spanning the 1-128-cell stages of development. Furthermore, we used micropipette sampling to study intercellular heterogeneity within cells in a single embryo and investigated embryonic asymmetry along both animal-vegetal and dorsal-ventral axes during early stages of development. Investigation of the animal-vegetal axis led to discovery of various asymmetrically distributed proteins along the animal-vegetal axis. We have further compared the hits found from our proteomic data sets with other studies and validated a few hits using an orthogonal imaging technique. This study forms the first report of vegetal enrichment of the germ plasm associated protein DDX4/VASA in Xenopus embyos. Overall, the method and data presented here holds promise to enable important leads in developmental biology.

The ability to map combinatorial patterns of post-translational modifications (PTMs) of proteins remains challenging for traditional bottom-up mass spectrometry workflows. There are also hurdles associated with top-down approaches related to limited data analysis options for heavily modified proteoforms. These shortcomings have accelerated interest in middle-down MS methods that focus on analysis of large peptides generated by specific proteases in conjunction with validated bioinformatics strategies to allow quantification of isomeric histoforms. Mapping multiple PTMs simultaneously requires the ability to obtain high sequence coverage to allow confident localization of the modifications, and 193 nm ultraviolet photodissociation (UVPD) has been shown to cause extensive fragmentation for large peptides and proteins. Histones are an ideal system to test the ability of UVPD to characterize multiple modifications, as the combinations of PTMs are the underpinning of the biological significance of histones and at the same time create an imposing challenge for characterization. The present study focuses on applying 193 nm UVPD to the identification and localization of PTMs on histones by UVPD and comparison to a popular alternative, electron-transfer dissociation (ETD), via a high-throughput middle-down LC/MS/MS strategy. Histone Coder and IsoScale, bioinformatics tools for verification of PTM assignments and quantification of histone peptides, were adapted for UVPD data and applied in the present study. In total, over 300 modified forms were identified, and the distributions of PTMs were quantified between UVPD and ETD. Significant differences in patterns of PTMs were found for histones from HeLa cells prior to and after treatment with a deacetylase inhibitor. Additional fragment ion types generated by UVPD proved essential for extensive characterization of the most heavily modified forms (>5 PTMs).

Epigenetics has become a fundamental scientific discipline with various implications for biology and medicine. Epigenetic marks, mostly DNA methylation and histone post-translational modifications (PTMs), play important roles in chromatin structure and function. Accurate quantification of these marks is an ongoing challenge due to the variety of modifications and their wide dynamic range of abundance. Here we present EpiProfile 2.0, an extended version of our 2015 software (v1.0), for accurate quantification of histone peptides based on liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis. EpiProfile 2.0 is now optimized for data-independent acquisition through the use of precursor and fragment extracted ion chromatography to accurately determine the chromatographic profile and to discriminate isobaric forms of peptides. The software uses an intelligent retention time prediction trained on the analyzed samples to enable accurate peak detection. EpiProfile 2.0 supports label-free and isotopic labeling, different organisms, known sequence mutations in diseases, different derivatization strategies, and unusual PTMs (such as acyl-derived modifications). In summary, EpiProfile 2.0 is a universal and accurate platform for the quantification of histone marks via LC-MS/MS. Being the first software of its kind, we anticipate that EpiProfile 2.0 will play a fundamental role in epigenetic studies relevant to biology and translational medicine. EpiProfile is freely available at https://github.com/zfyuan/EpiProfile2.0&#95;Family .

Histone post-translational modifications (PTMs) are fundamental players of chromatin regulation, as they contribute to editing histone chemical properties and recruiting proteins for gene transcription and DNA repair. Mass spectrometry (MS)-based proteomics is currently the most widely adopted strategy for high-throughput quantification of hundreds of histone PTMs. Samples such as primary tissues, complex model systems, and biofluids are hard to retrieve in large quantities. Because of this, it is critical to know whether the amount of sample available would lead to an exhaustive analysis if subjected to MS. In this work, we assessed the reproducibility in quantification of histone PTMs using a wide range of starting material, that is, from 5 000 000 to 50 000 cells. We performed the experiment using four different cell lines, that is, HeLa, 293T, human embryonic stem cells (hESCs), and myoblasts, and we quantified a list of 205 histone peptides using ion trap MS and our in-house software. Results highlighted that the relative abundance of some histone PTMs deviated as little as just 4% when comparing high starting material with histone samples extracted from 50 000 cells, for example, H3K9me2 (40% average abundance). Low abundance PTMs such as H3K4me2 (<3% average abundance) showed higher variability, but still ∼34%. This indicates that most PTMs, and especially abundant ones, are quantified with high precision starting from low cell counts. This study will help scientists to decide whether specific experiments are feasible and to plan how much sample should be reserved for histone analysis using MS.

Multicellular tumor spheroids (MCTS) are valuable in vitro tumor models frequently used to evaluate the penetration and efficacy of therapeutics. In this study, we evaluated potential differences in epigenetic markers, i.e., histone post-translational modifications (PTMs), in the layers of the HCT116 colon carcinoma MCTS. Cells were grown in agarose-coated 96 well plates, forming reproducible 1-mm-diameter MCTS. The MCTS were fractionated into three radially concentric portions, generating samples containing cells from the core, the mid and the external layers. Using mass spectrometry (MS)-based proteomics and EpiProfile, we quantified hundreds of histone peptides in different modified forms; by combining the results of all experiments, we quantified the abundance of 258 differently modified peptides, finding significant differences in their relative abundance across layers. Among these differences, we detected higher amounts of the repressive mark H3K27me3 in the external layers, compared to the core. We then evaluated the epigenetic response of MCTS following UNC1999 treatment, a drug targeting the enzymes that catalyze H3K27me3, namely, the polycomb repressive complex 2 (PRC2) subunits enhancer of zeste 1 (EZH1) and enhancer of zeste 2 (EZH2). UNC1999 treatment resulted in significant differences in MCTS diameter under drug treatment of varying duration. Using matrix-assisted laser desorption/ionization (MALDI) imaging, we determined that the drug penetrates the entire MCTS. Proteomic analysis revealed a decrease in abundance of H3K27me3, compared to the untreated sample, as expected. Interestingly, we observed a comparable growth curve for MCTS under constant drug treatment over 13 days with those treated for only 4 days at the beginning of their growth. We thus demonstrate that MS-based proteomics can define significant differences in histone PTM patterns in submillimetric layers of three-dimensional (3D) cultures. Moreover, we show that our model is suitable for monitoring drug localization and regulation of histone PTMs after drug treatment.

Label-free peptide quantification in liquid chromatography-mass spectrometry (LC-MS) proteomics analyses is complicated by the presence of isobaric coeluting peptides, as they generate the same extracted ion chromatogram corresponding to the sum of their intensities. Histone proteins are especially prone to this, as they are heavily modified by post-translational modifications (PTMs). Their proteolytic digestion leads to a large number of peptides sharing the same mass, while carrying PTMs on different amino acid residues. We present an application of MS data-independent acquisition (DIA) to confidently determine and quantify modified histone peptides. By introducing the use of low-resolution MS/MS DIA, we demonstrate that the signals of 111 histone peptides could easily be extracted from LC-MS runs due to the relatively low sample complexity. By exploiting an LTQ-Orbitrap mass spectrometer, we parallelized MS and MS/MS scan events using the Orbitrap and the linear ion trap, respectively, decreasing the total scan time. This, in combination with large windows for MS/MS fragmentation (50 m/z) and multiple full scan events within a DIA duty cycle, led to a MS scan cycle speed of ∼45 full MS per minute, improving the definition of extracted LC-MS chromatogram profiles. By using such acquisition method, we achieved highly comparable results to our optimized acquisition method for histone peptide analysis (R(2) correlation > 0.98), which combines data-dependent acquisition (DDA) and targeted MS/MS scans, the latter targeting isobaric peptides. By using DIA, we could also remine our data set and quantify 16 additional isobaric peptides commonly not targeted during DDA experiments. Finally, we demonstrated that by performing the full MS scan in the linear ion trap, we achieve highly comparable results as when adopting high-resolution MS scans (R(2) correlation 0.97). Taken together, results confirmed that histone peptide analysis can be performed using DIA and low-resolution MS with high accuracy and precision of peptide quantification. Moreover, DIA intrinsically enables data remining to later identify and quantify isobaric peptides unknown at the time of the LC-MS experiment. These methods will open up epigenetics analyses to the proteomics community who do not have routine access to the newer generation high-resolution MS/MS generating instruments.

Histone proteins are key components of chromatin. Their N-terminal tails are enriched in combinatorial post-translational modifications (PTMs), which influence gene regulation, DNA repair, and chromosome condensation. Mass spectrometry (MS)-based middle-down proteomics has emerged as a technique to analyze co-occurring PTMs, as it allows for the characterization of intact histone tails (>50 aa) rather than short (<20 aa) peptides analyzed by bottom-up. However, a demonstration of its reliability is still lacking. We compared results obtained with the middle-down and the bottom-up strategy in calculating PTM relative abundance and stoichiometry. Since bottom-up was proven to have biases in peptide signal detection such as uneven ionization efficiency, we performed an external correction using a synthetic peptide library with known peptide relative abundance. Corrected bottom-up data were used as reference. Calculated abundances of single PTMs showed similar deviations from the reference when comparing middle-down and uncorrected bottom-up results. Moreover, we show that the two strategies provided similar performance in defining accurate PTM stoichiometry. Collectively, we evidenced that the middle-down strategy is at least equally reliable to bottom-up in quantifying histone PTMs.

We present a detailed quantitative map of single and coexisting histone post-translational modifications (PTMs) in rat retinas affected by ischemia and reperfusion (I/R) injury. Retinal I/R injury contributes to serious ocular diseases, which can lead to vision loss and blindness. We applied linear ion trap-orbitrap hybrid tandem mass spectrometry (MS/MS) to quantify 131 single histone marks and 143 combinations of multiple histone marks in noninjured and injured retinas. We observed 34 histone PTMs that exhibited significantly (p < 0.05) different abundance between healthy and I/R injured eyes, of which we confirmed three H4 histone marks by Western blotting. H4K20me2 was up to 4-fold change up-regulated after the injury and is associated with the response to DNA damage as demonstrated by an increase in the phosphorylation of p53 and Chk1. This study demonstrates that quantitative MS provides a sensitive and accurate way to dissect the changes in the histone code after retinal injury. Specifically, DNA damage associated histone PTMs may contribute to neurovascular degeneration during the process of ischemia/reperfusion injury.

Post-translational modifications (PTMs) of histones play a major role in regulating chromatin dynamics and influence processes such as transcription and DNA replication. Here, we report 114 distinct combinations of coexisting PTMs of histone H3 obtained from mouse embryonic stem (ES) cells. Histone H3 N-terminal tail peptides (amino acids 1-50, 5-6 kDa) were separated by optimized weak cation exchange/hydrophilic interaction liquid chromatography (WCX/HILIC) and sequenced online by electron transfer dissociation (ETD) tandem mass spectrometry (MS/MS). High mass accuracy and near complete sequence coverage allowed unambiguous mapping of the major histone marks and discrimination between isobaric and nearly isobaric PTMs such as trimethylation and acetylation. Hierarchical data analysis identified H3K27me2-H3K36me2 as the most frequently observed PTMs in H3. Modifications at H3 residues K27 and K36 often coexist with the abundant mark K23ac, and we identified two frequently occurring quadruplet marks 'K9me1K23acK27me2K36me2' and 'K9me3K23acK27me2K36me', which might indicate a role in crosstalk. Co-occurrence frequency analysis revealed also an interplay between methylations of K9, K27, and K36, suggesting interdependence between histone methylation marks. We hypothesize that the most abundant coexisting PTMs may provide a signature for the permissive state of mouse ES cells.