Skip to main content
International Journal of Molecular Sciences logoLink to International Journal of Molecular Sciences
. 2025 Dec 23;27(1):149. doi: 10.3390/ijms27010149

Mass Spectrometry Quantification of Epigenetic Changes: A Scoping Review for Cancer and Beyond

Rossana Comito 1, Agnese Mannaioli 1, Agen Peter Lunghi Msemwa 1, Francesca Bravi 2, Carlotta Zunarelli 1,3, Eva Negri 3, Emanuele Porru 3,*, Francesco Saverio Violante 1,3
Editor: Janusz Blasiak
PMCID: PMC12786237  PMID: 41516026

Abstract

Mass spectrometry has become an indispensable tool for the identification and quantification of epigenetic modifications, offering both high sensitivity and structural specificity. The two major classes of epigenetic modifications identified—DNA methylation and histone post-translational modifications—play fundamental roles in cancer development, underscoring the relevance of their precise quantification for understanding tumorigenesis and potential therapeutic targeting. In this scoping review, we included 89 studies that met the inclusion criteria for detailed methodological assessment. Among these, we compared pre-treatment workflows, analytical platforms, and acquisition modes employed to characterize epigenetic modifications in human samples and model systems. Our synthesis highlights the predominance of bottom-up strategies combined with Orbitrap-based platforms and data-dependent acquisition for histone post-translational modifications, whereas triple quadrupole mass spectrometers were predominant for DNA methylation quantification. We critically evaluate current limitations, including heterogeneity in validation reporting, insufficient coverage of combinatorial post-translational modifications, and variability in derivatization efficiency.

Keywords: epigenetic modifications, mass spectrometry, DNA methylation, histone post-translational modifications, cancer biomarker

1. Introduction

DNA plays a pivotal role in transmitting all the genetic information required for the correct development, function, growth and reproduction of all known living organisms and many viruses. Consequently, it is fundamental in shaping biological phenotypes and orchestrating the intricate process of life. Changes in its composition, sequence, or structure can cause a variety of physiological dysfunctions. DNA stability and integrity are crucial for proper cellular functioning and the accurate transmission of hereditary traits across generations. Deviations from the normal state of DNA can have serious consequences for an organism’s health and well-being, leading to a wide range of pathologies, including genetic diseases and cancers [1].

Recently, there has been a growing interest in understanding the mechanisms by which DNA modifications arise and how they affect the structure and function of DNA. The final goal is to gain a comprehensive understanding of their broader implications in both normal physiological processes and disease states. Epigenetics is often defined as functionally relevant changes to the genome that occur without altering the nucleotide sequence [2]. Key mechanisms responsible for these phenomena include: DNA methylation, histone modifications, and chromatin remodeling [3]. Techniques such as chromatin immunoprecipitation sequencing (Chip-seq), bisulfite sequencing, methylated DNA immunoprecipitation, and chromosome conformation capture have been instrumental in improving our understanding of the epigenetic regulation of gene expression [4]. In addition, advances in mass spectrometry (MS) technologies have greatly improved the analysis of epigenetic DNA damage and modifications.

Of all the epigenetic modifications, DNA methylation is the most widely studied. DNA methylation patterns are highly dysregulated in cancer. In fact, changes in methylation status have been postulated to inactivate tumor suppressors and activate oncogenes, thus contributing to tumorigenesis [5]. Currently, there are three main groups of techniques that involve the identification of specific regions that are differentially methylated: bisulfite conversion-based methods, restriction enzyme-based approaches, and affinity enrichment-based assays [6].

In addition to noncanonical bases that are actively generated for partially unknown purposes, genomic DNA (gDNA) contains modified bases that are generated as DNA lesions. In particular, oxidative DNA lesions such as 8-oxo-7,8-dihydro-deoxyguanosine (8oxodG) can easily form [7], and the levels of such base lesions can correlate with diseases [8]. Although 5-Methyl-2′-deoxycytidine (5mdC) is the most abundant epigenetic modification, its total content is only around 2%. Following in prevalence is 5-hydroxymethyl-2′-deoxycytidine (5hmdC), typically found at levels below 1%. Other modifications, such as 8oxodG and N6-methyl-2′-deoxyadenosine, are significantly rarer, occurring at approximately 0.001% and 0.0001%, respectively [1].

Histones are basic proteins whose positive charges enable them to combine with DNA. Covalent post-translational modifications (additions or removal of functional groups) mainly occur on side chains of histone tails [9]. Certain modifications alter the charge density between histones and DNA, thereby affecting the organization of the chromatin, modifying its accessibility to the enzymes orchestrating gene transcription [3,10]. Thereby, gene expression is affected by histone modifications [3].

Detecting and quantifying chemical DNA modifications, especially epigenetic alterations, is crucial for disease screening and treatment. Thanks to its high sensitivity, analytical precision, and ability to characterize complex molecular changes, mass spectrometry has become a key tool in the study of epigenetic modifications.

Given the rapid expansion and methodological heterogeneity of MS approaches applied to epigenetics, a structured overview is needed to help researchers navigate analytical variability across sample preparation, instrumental platforms, and quantification strategies. By systematically mapping available workflows rather than evaluating biological outcomes, this review aims to provide a methodological frame of reference and identify areas where harmonization or further development is required.

We further narrow our scope to applications in human studies or in vitro models of human and animal origin.

2. Materials and Methods

This scoping review was conducted to map the existing research on the application of MS in the epigenetic field and to identify current knowledge gaps. The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [11] to ensure transparency and completeness in reporting. Although the protocol was not preregistered, it is available upon request from the corresponding author.

2.1. Search Strategy and Sources

A comprehensive bibliographic search was conducted using the three most popular electronic databases Web of Science, PubMed, and Scopus, selecting the most relevant studies published between 2015 and 2025 without any linguistic restriction. We sought to identify articles focused on the identification and quantification of epigenetic modifications using MS approaches. To this end, the following initial research questions were posed by the authors:

  • Which epigenetic modifications are most frequently studied using MS?

  • Which MS instruments are most employed?

  • Which studies apply MS in clinical contexts or in human biological models?

  • Have any new approaches or improvements been developed in sample preparation and data analysis specific to the application of MS to epigenetics?

2.2. Search Terms

We focused our research solely on articles, by using the following strings in abstract title and keywords: “epigenetic modification” AND “quantification” AND “mass spectrometry”; “DNA methylation” AND “quantification” AND “mass spectrometry”; “histone modification” AND “quantification” AND “mass spectrometry”; “epigenetic modification” AND “mass spectrometry” and “treatment” AND “biological sample”; “DNA methylation” AND “mass spectrometry” and “treatment” AND “biological sample”, “histone modification” AND “mass spectrometry” and “treatment” AND “biological sample. Full-text articles were obtained online. Figure 1 illustrates the workflow adopted to identify, screen, and select studies in this review.

Figure 1.

Figure 1

Overview of the workflow. Adapted from Page, M.J. et al. [12], licensed under CC BY 4.0. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/ (accessed on 6 October 2025).

3. Results

The search results retrieved a total of 711 articles, of which 225 studies from Web of Science, 305 from PubMed, and 181 from Scopus. The authors selected articles based on the abstract and reviews following the questions written in Section 2.1 identifying 173 articles through Web of Science, 168 through PubMed, and 114 through Scopus. After thorough de-duplication, a consolidated set of 190 unique articles was obtained. From this final collection, only 88 articles specifically focused on applications in human samples or human models.

Results were summarized as follows: epigenetic modifications identified by MS, analytical method used to study DNA methylation and histone post-translation modifications (PMTs).

3.1. Epigenetic Modifications Identified by Mass Spectrometry

DNA methylation is a biochemical process where a cytosine residue is enzymatically methylated with a methyl group (–CH3) at the five carbon position [13,14]. This process predominantly occurs at the CpG sites (dinucleotide cytosine-phospho-guanine), which are present at high frequency in regions known as CpG islands (CGI). These regions are usually found in gene promoters, where gene expression is regulated through methylation [15,16]. Approximately 4% of cytosines appear in CpG context, and 60–80% of CpG cytosines are methylated depending on the cell type and physiologic or pathologic state [17]. DNA methylation is coordinated by a family of enzymes named DNA methyltransferases (DNMTs). It is a reversible chemical modification, and active demethylation processes are mediated by erasing DNA methylation mechanisms, mainly controlled by Ten-Eleven Translocation (TET) enzymes [18]. TET have been shown to catalyze the conversion of 5 methyl cytosine (5mC) to 5-hydroximethyl cytosine (5hmC) as well as into 5-formylcytosine (5fC) and 5-carboxylcytosine (5caC) [19]. DNA methylation has been shown to play an important role in the regulation of many essential biological processes, including retrotransposon silencing, genomic imprinting, X-chromosome inactivation, regulation of gene expression, and maintenance of epigenetic memory [20].

Acetylation, methylation, phosphorylation, and ubiquitylation are well-studied modifications that are known to significantly impact gene expression [3]. Aberrant histone acetylation and methylation in cancer alter the transcription of cytokines, chemokines, and transcription factors. This impacts the function and differentiation of T cells and tumor-associated macrophages (TAMs), key components of the tumor microenvironment (TME), leading to TME immunosuppression [21]. Numerous transcription factors, histone-modifying enzymes, and components of the transcriptional machinery interact with specific histone PTMs in a coordinated fashion, thereby influencing DNA function. Alterations in the regulation of histone variants and their post-translational modifications have been linked to several human diseases, including cancer. The number of PTMs that can be analyzed is several. Histones, H3 and H4 N-termini, in particular, are highly enriched in the number of possible modifications, both on the same residue and on neighboring residues [22].

Among the reviewed articles, 32 articles have been found to focus on DNA methylation, whereas 56 articles are focused on histone PMTs analyzed by MS.

3.2. DNA Methylation

Approximately 53% (17/32 studies) of the studies applied MS to human samples, including blood, plasma, urine, and tissues, while 40% focused on human cell lines. Among the remaining articles, one was focused on the analysis of both human samples and cell lines. The other was focused on a standard solution.

The most common instrument was the triple quadrupole (QqQ) mass spectrometer, employed in 69% (22/32) of the articles, including various QTRAP (Quadrupole Linear Ion Trap Mass Spectrometry) systems and dedicated triple-Q mass spectrometers. Other detection methods, such as Q-TOF/TOF (Quadrupole–Time of Flight/Time of Flight Mass Spectrometry), Orbitrap, ICP-MS (Inductively Coupled Plasma–Mass Spectrometry), MALDI (Matrix-Assisted Laser Desorption/Ionization–Time of Flight Mass Spectrometry) or DESI-TOF (Desorption Electrospray Ionization–Time of Flight Mass Spectrometry) were utilized in the remaining 31% of the studies.

In terms of chromatographic separation, reversed-phase C18 columns are used in 25% of the employed methods, reflecting their robust retention and compatibility with nucleoside analysis. Other types of columns such as hydrophilic interaction liquid chromatography (HILIC), mixed-mode or graphitised carbon columns and C8, were used less frequently. Mobile phase compositions are largely dominated by aqueous phases containing volatile buffers (e.g., 0.1% formic acid, ammonium acetate or ammonium formate), combined with organic phases such as methanol or acetonitrile.

Regarding sample pre-treatments, the majority of studies (19/32, 59%) adopt enzymatic hydrolysis of extracted DNA into nucleosides prior to MS analysis. These studies use multi-enzyme digestion protocols involving nuclease P1 (or S1 nuclease), phosphodiesterase and alkaline phosphatase. Five studies (16%) use acid hydrolysis with strong acids (e.g., formic acid or hydrochloric acid) at elevated temperatures, typically to shorten processing times, but with the potential risk of base degradation. Other studies apply alternative treatments, such as chemical derivatisation (e.g., benzoylation or dansylation) to improve chromatographic resolution or ionization efficiency, chemoenzymatic labeling of specific modifications (particularly 5hmC) or direct analysis of digested oligonucleotides rather than free nucleosides. These pre-analytical workflows directly influence the sensitivity, selectivity and susceptibility to artifacts of methylation analysis.

Quantification of methylated cytidine is essentially ever-present, 27/32 papers (84%) include 5mC or 5mdC among the monitored targets. Hydroxymethylcytosine is analyzed in approximately 20/32 studies (62%). Less frequently reported analytes include formylcytosine (5fC) (6/32 studies and carboxylcytosine (5caC) (6/32studies). Other modifications that are monitored include oxidized guanine bases (e.g., 8-oxodG), methylated purines (various N-methyl guanines) and rarer modifications such as N6-methyladenine. Collectively, these non-cytosine modifications appear in a minority of studies. Table 1 lists the results in order of publication year.

Table 1.

Analyte quantification, sample pre-treatment, validation parameters and instrument used in the reviewed papers.

Ref, Year MS
Quantification
Samples Sample Pre-Treatment Validation Parameters Instruments
[23], 2015 5mdC A549 human lung adenocarcinoma epithelial cell line and
A2780 human ovarian carcinoma cell line
Extraction: PureLink Genomic DNA Mini Kit (Invitrogen, Carlsbad, CA, USA).
Enzymatic Digestion: Nuclease S1 at 37 °C
Purification: membrane ultracentrifugation with a Centricon YM-10 filter device.
%RSDs < 4%.
LOD: 40–41 ng mL−1 for 5mdCMP and dCMP (measured element (31P) with same stoichiometry (1:1) in all nucleotide monophosphate)
System: LC-2 double-focusing magnetic sector field ICP-MS
Column: A Mono-Q™ column
[24], 2015 5hmdC, 5mdC, dC, dG Metastatic melanoma cell line WM266–4 and leukemia cell line KG1 DNA Extraction: Blood & Cell Culture DNA Mini Kit (Qiagen, France).
DNA Hydrolysis:
Denaturation: at 100 °C for 3 min
Enzymatic Digestion:
Step 1: Nuclease P1 at 45 °C for 2 h.
Step 2: Venom phosphodiesterase I at 37 °C for 2 h.
Step 3: Alkaline phosphatase 1 h at 37 °C.
Not Reported System: LC-Q TRAP
Column: Polar-RP 80A.
Eluent A: 0.1% FA in H2O
Eluent B: 0.1% FA in MeOH
[25], 2015 5mC, 5hmC, 5fC, 5caC human urine SPE: HLB cartridge; Elution:
First Elution: 1:9 MeOH/H2O solution.
Second Elution: 3:7 MeOH/H2O solution
Drying & Reconstitution: H2O
Recovery %: 101.3 ± 4.1% for 10 nM 5hmC, 103.5 ± 2.4% for 20 nM 5hmC, 70.2 ± 0.9% for 10 nM 5mC, and 89.9 ± 0.6% for 20 nM 5mC. Inter-day precision (RSD%): from 2.9% to 10.6%, and the intra-day: from 1.4% to 7.7%.
LODs: 25 amol for 5mC and 250 amol for 5hmC; LOQs: 75 amol for 5mC and 760 amol for 5hmC.
System: LC-QqQ
Column: NUCLEOSHELL RP 18
Eluent A: 2.0 mM NH4HCO3 in H2O, pH 8.5
Eluent B: 100% MeOH
[26], 2015 5-mC, 5-hmC human blood. DNA Extraction: E.Z.N.A. Blood DNA Kit (Omega Bio-Tek Inc., Norcross, GA).
Enzymatic Digestion:
Step 1: S1 nuclease at 37 °C for 4 h.
Step 2: Alkaline phosphatase and venom phosphodiesterase 2 h at 37 °C.
Purification: phenol/chloroform extraction, followed by two extractions with chloroform Reconstitution: ACN/H2O.
LODs for 5-mC and 5-hmC were 0.04 and 0.13 fmol
RSDs% and relative errors <11.2% and 14.0%, respectively.
System: on-line trapping/cHILIC/micrOTOF-Q
Columns:
on-line trapping column: 0.5 cm poly(MAA-co-EGDMA) monolithic capillary.
Analytical column: 30 cm hydrophilic organic-silica hybrid monolith.
Eluent A: 0.01% FA in H2O.
Eluent B: 0.01% FA in ACN
[27], 2015 Cyt, 5mdC Normal breast cell line MCF10A, breast cancer cell line MCF7. Hydrolysis: 1 mL of FA in a muffle furnace at 140 °C for 1.5 h.
Drying and Reconstitution: 1 mL of MeOH
Not reported System: LC-Orbitrap
[28], 2015 DNA methylation patterns in the GSTP1 promoter Colon cancer and normal control tissues DNA Extraction: Wizard Genomic DNA Purification kit (Qiagen, Germany).
Sample Preparation: GOOD assay
Matrix Preparation: matrix solution of α-cyano-4-hydroxycinnamic acid methyl ester in acetone
Sample and Matrix Spotting: spotted onto the target plate using a robot. A small volume of the DNA sample pipetted onto the top of the dried matrix.
Not reported System: MALDI-TOF
Acceleration potential: ±18 kV, and ion extraction is delayed by 200 ns.
[29], 2016 5‘-mdC 5‘-hmdC human liver cancer tissue DNA Extraction and Quantification: Takara MiniBEST universal Genomic DNA Extraction Kit (Takara Bio, Dalian, China). LODs: 5 amol and 10 amol for 5′-mdC
5′-hmdC;
Intra-and inter-day RSDs% < 6.2% and 7.9%.
Intra-day RSD% for the peak area: 7.4%;
Inter-day RSD for the peak area: 8.4%
System: CE-Orbitrap
Capillary: A 100 cm long bare fused-silica capillary with a 30 µm internal diameter
Capillary Preparation: flushed with MeOH, H2O, 0.1 M NaOH, 0.1 M HCl, and finally with the background electrolyte (BGE), which is 10% acetic acid (pH 2.2).
[30], 2017 5mC, 5hmC, 5fC, 5caC Global human breast cancer and tumor-adjacent normal tissue genomes. Extraction: extraction kit (Puhe Bio-Tech Co. Ltd., Wuxi, China)
Enzymatic Digestion:
Step 1: incubated with Cryonase Cold-active Nuclease at 40 °C for 1 h.
Step 2: Alkaline phosphatase and phosphodiesterase I at 37 °C for an additional 4 h.
Purification: NaCl and absolute ethanol
Derivatization: 4-(dimethylamino) benzoic anhydride.
LODs and LOQ of 5-mC,
5-hmC, 5-foC, and 5-caC: 1.2~2.5 fmol and
3.7~7.6 fmol,
Intra-and inter-batch RSDs: 3.1~6.3%, 3.4~5.1% for 5-mC; 0.9~5.5%, 1.6~5.5% for
5-hmC; 0.8~12.9%, 2.3~9.9% for 5-foC; 5.1~9.1%, 3.8~7.2% for 5-caC
System: LC-Q TOF
Column: Eclipse Plus C18 column and UPLC SB C18 column.
[31], 2017 5-fodC, 5
forC, 5-fodU, 5-forU, 5
forCm, 5-forUm,
Human embryonic kidney cells (293T), human breast cancer cells (MCF-7)
Tissue samples from thyroid carcinoma patients
Extraction: E.Z.N.A. HP kits (Omega Bio-Tek Inc., Norcross, GA, USA)
Enzymatic Digestion:
Step 1: at 95 °C, then incubated with S1 nuclease at 37 °C for 2 h.
Step 2: Alkaline phosphatase and venom phosphodiesterase I 2 h at 37 °C.
Purification: chloroform extraction to remove proteins; graphitized carbon black SPE cartridge
Labeling: The purified and dried sample is then chemically labeled using specific reagents (GirP, GirT, and 4-APC) for targeted analysis.
LODs and LOQ: 0.03 and 0.10 fmol for 5-fodC,0.04 and 0.12fmol for5 for C,0.05 and 0.17fmol for5-fodU and 0.05 and 0.18 fmol for5-forU.
Intra-and inter-day RSDs for four GirP-labeled < 13.2% and 14.3%, respectively;
System: LC-QqQ
SPME Column: A poly(MAA-co-EGDMA) monolith as an in-tube SPME column for sample loading and washing.
Analytical Column: Shim-pack ODS column
Eluent A: 0.1% FA in H2O
Eluent B: 0.1% FA in MeOH
[32], 2018 dC, dT, dA, dG, 5mdC, 5hmdC (converted in N3-5gmdC) blood samples from healthy individuals and leukemia patients, Extraction: DNA
Tissue kit (5 Prime, Hilden, Germany).
Protein Removal: proteinase K overnight
at 55 °C.
Filtration: Amicon Ultra 0.5 mL 10K columns.
Enzymatic Hydrolysis:
Step 1: DNA samples are heat-denatured at 98 °C for 5 min. Nuclease S1 at 37 °C for 3 h.
Step 2: Antarctic phosphatase and phosphodiesterase at 37 °C Inactivation: at 80 °C for 10 min in the presence of EDTA.
Labeling Strategy:
β-GT enzyme: convert 5hmC into N3-5gmC
Not reported System: LC-QqQ
Column: Xselect HSS T3 column
Eluent A: 0.1% FA in H2O
Separate solvent containing 0.1% FA.
[33], 2018 dC, 5mdC, 5hmdC 375 melanoma, A2058 melanoma, HepG2 hepatocarcinoma, HeLa cervix carcinoma, MES-SA uterine sarcoma, H1650 bronchoalveolar carcinoma, HTR8 placenta, BeWo choriocarcinoma, HL60 promyeloblast, and K562 lymphoblast cell lines DNA Chemical Hydrolysis: 100% FA heated at 130 °C for 90 min Not Reported System: LC-Q TRAP
Column: Agilent RX-Sil
Eluent A: H2O + 0.1% FA.
Eluent B: ACN + 0.1% FA.
[34], 2018 5hmdC ladder cancer (T24) cells BenzoSAC bioreactor
Digestion: Benzonase, snake venom phosphodiesterase (SVP), and alkaline phosphatase (ALP).
LOD:0.2 nM
LOQ: 0.5 nM
Recovery%: 85.4 ± 5.9%, 92.5 ± 4.8% and 102.2 ± 3.2% for 2, 10, and 100 nM of 5hmC, respectively.
intraday RSD%:4%
Inter-day RSD%:6.6%
System: LC-QqQ
Column: Zorbax Eclipse Plus C18:
Eluent: 5% MeOH and 95% 2 mM ammonium bicarbonate solution.
[35], 2018 5mdC,5-hmdC Human urine of CRC patients CRC SPE: MCX cartridge, elution with CH3CN/H2O/NH4OH (90:10:5, v/v/v). LODs for 5-mdC, 5 hmdC, 5-mrC and 5-hmrC being 0.025, 0.025, 0.025 and 0.050fmol, respectively.
RSD%: 0.20% to 2.63%.
Accuracy%: 98.19–109.54%
System: LC-Q TRAP
Column: BEH HILIC
Eluent A: ACN containing FA, ammonium formate, and malic acid.
Eluent B: H2O containing FA and ammonium formate.
[36], 2019 dc, 5mdc Human blood DNA Sample Preparation
Extraction: QIAamp DNA Mini Kit (Qiagen, Germantown, MD, USA).
Enzymatic Digestion:
Step 1: Nuclease P1 at 65 °C for 10 min
Step 2: Alkaline phosphatase at 37 °C for 1 h
Recoveries%: 31.0% for 2dC, 32.3% for 2dC, 21.9% for 5mdC.
LLOQ of 50 ng/mL and 5 ng/mL for 2dC and 5mdC, respectively. Bias (%) from −5.2% to 9%
CV% from 0.9% to 12.6%
System: LC-Q TRAP
Column: H2Os Nova-Pak Silica
Eluent A: 5 mM ammonium acetate in H2O
Eluent B: 5 mM ammonium acetate in a H2O-ACN mixture
[37], 2019 Guo, uro, cyt, 5-mdU, dU, dC, dA, mdC, hmdC, dT, dG, 5-Aza-dC Human pancreas carcinoma cell lines (MIAPaCa-2, AsPC-1, and BxPC-3),human colorectal carcinoma cell lines (HT29, Caco-2, and HCT116), human breast cancer cell lines (SKBR, CF-7, MDAMB231,
MDAMB468, and T47D
DNA Hydrolysis Protocol:
Denaturation: at 95 °C for 3 min,
Enzymatic Digestion: DNA Degradase Plus, nuclease P, PDE, and ALP and incubated at 37 °C for 2 h Inactivation: at 70 °C for 20 min.
intra-day CV% < 3%
inter-day CV%< 5%.
System: LC-QqQ
Columns: Acquity UPLC BEH Phenyl Column
Eluent A: 0.1% ammonium bicarbonate in H2O
Eluent B: 0.1% ammonium bicarbonate in 90% MeOH
[7], 2019 1. 5mdC, 5hmdC, 5fdC, 5cadC 8oxodG
2. 4mdC and 6mdA
NGN cells66
HEK293T cells mES wild-type cell line J1
gDNA Isolation: Zymo-Spin IIC-XL spin column (Zymo Research Corp, Irvine, California, USA).
DNA Digestion: two separate enzyme mixes:
Mastermix 1: Nuclease S1 and ZnSO4.
Mastermix 2: s snake venom phosphodiesterase I and EDTA.
LLOQ: from 6.5 × 10−4 to 0.1 pmol;
ULOQ: from 0.47 to 228.6 pmol
System: LC-QqQ
Method 1:
Column: C8
Method 2:
Column: C18
Mobile Phases:
Solvent of a H2O/ACN
[38], 2019 5mC, 1MeG, 6MeG, 7MeG, 9MeG 2EtdG, 1MeA, 3MeA, and 9MeA 5hmC and 5mdC MeA, 9EtA and 9EtG Human kidney cell line 293 T and the human liver cell line L02 exposed to 3 genotoxic reagents: N-methyl-N-nitrosourea (MNU), methyl methanesulfonate
(MMS) and 4-(methylnitrosamino)1-(3-pyridyl)-1-butanone (NNK).
DNA Extraction: QIAamp DNA mini kit (Qiagen, Germantown, MD, USA).
Hydrolysis: 1N HCl and heated at 85 °C for 1 h.
Enzymatic Digestion:
Step 1: Nuclease P1 and incubated at 37 °C for 2 h.
Step 2: Alkaline phosphatase 2 h at 37 °C.
Accuracy: 82.1–115%
Intra-day RSD%: <14% Inter-day RSD%: <15%
Recoveries% of two pretreatment methods: 50.5% to 126%,
ME%: NO
LLOQs:0.25 ng/mL for 5hmC; 0.1 ng/mL for 1MeG, 7MeG, 9MeG and 2EtdG; and 0.05 ng/mL for the other analytes.
LLODs: 50 pg/mL for 5hmC; 10 pg/mL for 1MeG, 7MeG, 9MeG and 2EtdG; and 5 pg/mL for the other analytes
System: LC-QqQ
Column: H2Os ACQUITY UPLC BEH Amide
Eluent A: H2O with 0.1% FA and 10 mM ammonium acetate.
Eluent B: ACN with 0.1% FA.
[39], 2019 Cyt, urd, ino,
5-methyl-CMP, cyt
monophosphate 5mdC
Serum samples Protein Precipitation and Extraction: pre-chilled MeOH/chloroform mixture at −20 °C.
Drying and Reconstitution: in mobile phase.
Inter-day RSD%: from 0.38% to 10.42%
Intra-day RSD%: from 2.04% to 13.26%
Recovery%: from: 81.55% to 115.69%
LLOQ: from 0.02 to 195.30 ng/mL
System: LC-QqQ
Column: H2Os XBridge Amide column
Eluent A: H2O containing acetic acid, ammonium acetate, and succinic acid.
Eluent B: ACN.
[40], 2019 5mC, 5hmC, 5fC, 5caC. Tet1 overexpressed 293T cells One-Step Hydrolysis: combination of enzymes:
PDE1 & ALP
Benzonase, PDE1 & ALP
DNase 1, PDE1 & ALP
Nucleoside Digestion Mix (from NEB)
DNA Degradase Plus (from Zymo)
Two-Step Hydrolysis:
Step 1: P1 nuclease, PDE1, and ALP are incubated overnight.
Step 2: The same enzyme mix is incubated for an additional 3 h.
Not reported System: LC-QqQ
Column: ZORBAX Eclipse Plus C18
Eluent A: 10 mM ammonium acetate (pH 6.0)
Eluent B: MeOH
[41], 2020 Cyt, 5mC, 5hmC Tissue samples from patients with PitNET were collected DNA Extraction: QIAamp Fast DNA Tissue Kit (Qiagen, Germantown, MD, USA). and from blood samples QIAamp DNA Mini Kit (Qiagen, Germantown, MD, USA)..
Hydrolysis: 0.2 mL of 98% FA and hydrolyzed by heating at 140 °C for 90 min.
Not reported System: LC-Q TRAP
Column: BEH HILIC column.
Eluent A: H2O with 2.5 mM ammonium formate.
Eluent B: ACN with 0.05% FA.
[42], 2020 dC, 5mC, 5hmC, and labeled 5hmC (oxidation to 5fC) human plasma cfDNA Extraction: QIAamp circulating nucleic acid kit (Qiagen, Germantown, MD, USA).
cfDNA Hydrolysis: nucleoside digestion mix
5hmC level in the cfDNA sample (less than 5 ng). to 12.5 fmol
Without labeling, LOD of 5hmC: 2.5 fmol
After labeling: LOD14 amol
intra-day: from 0.74% to 7.4%.
Inter-day: from 7.2% to 11%
System: LC-QqQ
Column: A Zorbax Eclipse Plus C18
Eluent A: H2O with 0.0085% FA (FA)
Eluent B: MeOH with 0.0085% FA (FA)
[43], 2021 5mC, 5hmC Human cell lines: HL60 (CCL-240) and K562 (CCL-243) Hydrolysis: FA
Incubation: 140 °C for 90 min.
Drying: evaporated under a stream of nitrogen.
Reconstitution: 50:50 ACN-H2O solution containing 0.1% FA
Accuracy and precision: range of 0.005–0.5% for 5hmC and 1–15% for 5mC. LOQ for 5hmC 1.43 fmol and 7.14 fmol for 5mC System: LC-Q TRAP
Column: Zorbax Rx-SIL
Eluent A: H2O with 0.1% FA.
Eluent B: ACN with 0.1% FA.
[44], 2022 Methylation of sixth intron of RPTOR harboring six
CpG sites
Peripheral blood samples BC cases and healthy controls gDNA Extraction: Genomic DNA Extraction Kit (Zymo Research, Orange County, CA, USA)
Bisulfite Conversion: EZ-96 DNA Methylation Gold Kit (Zymo Research, Orange County, CA, USA).
PCR & Purification
Not reported System: MALDI-TOF
[45], 2022 5-mC, 5-hmdC, 5-cadC, 5-fdC, 5-hmdU whole blood specimens of SSc and healty patients DNA Extraction: High Pure PCR Template Kit (Roche, Germany).
Enzymatic Digestion:
Step 1: The DNA is mixed with Nuclease P1 and incubated at 37 °C for 1 h.
Step 2: Alkaline phosphatase 37 °C for 1 h.
Purification: 10 kDa cut-off membrane
Not reported System: LC-QqQ
Column: X-select CSH C18
[46], 2022 5mC, methylated cytosine human serum sample Enzyme: hOGG1, bisulfite conversion step. LLOD: 84 pM, and a 0.1% methylation.
Recovery%: between 96.7% and 105%,
RSD%: 3.0–3.5%,
System: ICP-MS
Label: lanthanide (169-thulium) for DNA methylation analysis.
Nebulizer Gas Flow: 0.93 L/min
Auxiliary Gas Flow: 1.2 L/min
Plasma Gas Flow: 18 L/min
ICP RF Power: 1300 W
Isotope Monitored: 169-Tm
[47], 2022 8-Oxo-dG, εdA, N6-Me-dA, N2-Et-dG, O6-5-Cl-dC, 5-m-dC, 5-hm-dC human embryonic lung fibroblast
(HELF) cells
Nuclear Extraction: commercial kit and proteinase K at 55 °C for 2 h
DNA Precipitation: sodium acetate, pre-cooled absolute ethanol
Enzymatic Digestion: deoxyribonuclease at 37 °C for 2 h. Phosphodiesterase and alkaline phosphatase overnight.
Purification: chloroform extraction; evaporated and redissolved in ultrapure H2O
LOD: 0.02pg (on-column),
RSD% intra-day and interday precisions: 0.5–8.1 and 0.9–11.5%
Accuracy: 85.7–113.0% ME%: 94.5%–108.5% Recovery%:106.7–113.7%
System: LC-QqQ
Column: Thermo Hypurity advance
Eluent: 5 mM ammonium acetate (pH 7.3) and ACN 95:5 (v/v).
[48], 2023 dC, dA, dG, dT 5mC, 6 mA Cells lines HEK 293 and HEK 293T Enzymatic Digestion: Benzonase and SVP, and incubated at 37 °C for 8 h. CIP is then added for an additional 1 h of incubation.
Purification: ultrafiltration tube
Not reported System: LC-QqQ
Column: Zorbax Eclipse Plus C18
Eluent A: 2.0 mM NH4HCO3 in H2O
Eluent B: 100% MeOH
[49], 2023 dG, O6-Me-dG Pure solutions Matrix Preparation:
Graphene in ethanol/TFA
DHPT in MeOH/TFA
3-HPA in H2O
DHB in MeOH/H2O/TFA
CHCA in MeOH/H2O/TFA
DESI Sample Preparation: Sample spotted onto a specialized Aquarray DMA Slides.
Not reported System: Synapt G2-Si
DESI-Q-IM-TOF
[50], 2023 m6dA, 5-mdC, 5-hmdC, dA, dG, dC, T, Ado, Guo, Cyt, Urd, 5-mdC, 5-hmdC human tumor and healty tissues DNA Extraction: QIAamp DNA Mini Kit (Qiagen, Germantown, MD, USA)..
Enzymatic Digestion:
Step 1: NP1, PDE2, and EHNA at 37 °C for 48 h. EHNA
Step 2: Quick CIP at 37 °C for an additional 2 h.
Purification: chloroform extraction.
LODs: 0.005 to 0.25 nM;
LOQs: 0.05 to 1 nM; accuracy and precision: intraday: RSD%: 0.16% to 3.54%; accuracy: 94.79% to 104.84%. Interday: RSD%: 0.09% to 2.65%;
accuracy: 91.63 to 104.78
System: LC-Q TRAP
Column: H2Os BEH Amide
Eluent A: H2O with 0.2% FA, 10 mM ammonium formate, and 0.05 mM malic acid.
Eluent B: ACN with 0.2% FA, 2 mM ammonium formate, and 0.05 mM malic acid.
[51], 2025 5mC, cyt Plasma of CRC and healthy patients. Extraction: VAHTS™ Serum Plasm Circulating DNA Kit (Vazyme, China)
cfDNA Extraction: Ligation and Bisulfite Treatment: cytosine to uracils
Amplification:T7 RNA polymerase
Linear Amplification: PCR Amplification
Incorporation of a specific dideoxynucleotide for the methylation status:
ddATP: unmethylated dU).
ddGTP:methylated (5mC)
Not reported LAMP-TOF
[52], 2025 5mC, 2omdC MDA-MB-231 breast cancer cells, HEK293 cells DNA Extraction: QIAwave DNA Blood & Tissue Kit (Qiagen, Pittsburgh, PA, USA).
Cell lysis with proteinase K and Buffer AL, and purification using a DNeasy Mini spin column.
Hydrolysis of a CAA-PBS solution at 100 °C for 30 min
Online SPE: C18 guard column cartridge
Not reported System: LC-QqQ
Column: biphenyl column
Eluent: 15% MeOH in H2O containing 0.1% FA.
[53], 2025 5mC, 5hmC, 5fC, 5caC Blood samples DNA Extraction: commercial kit, precipitated by adding isopropyl alcohol and NaCl.
Purification: cold ethanol-H2O solution.
Enzymatic Hydrolysis:automated platform by adds two successive enzyme mixes.
LOQ: 8.0 × 10−9mol/L for 5mC and 1.0 × 10−10 for 5hmC. System: LC-Q TRAP
Column:
Method 1: Hypercarb Method 2: Force Biphenyl
Eluent A: H2O + 0.1% acetic acid
Eluent B: MeOH 0.1% acetic acid.

3.3. Histone PMTs

Among the 56 articles, 75% used cell lines (42/56), 7 studies analyzed human samples (12%), 2 human primary-derived monocytes, one PMBS, and one in standard solution. Among all the considered studies, 25 relied on cancer/tumor (46%). In particular, 19 were cell lines, 4 were human clinical samples, and 2 included both. This highlights a strong prevalence of cell line–based models compared to patient-derived material. The most frequently used lines were HeLa (31%, 13/42).

The bottom-up approach was the dominant sample preparation strategy by far. Acid extraction was the preferred method for histone isolation, with sulfuric acid being the most used one (59%, 33/56). The TCA (trichloroacetic acid) precipitation step is often employed.

Chemical derivatisation was dominated by propionylation (53%, 30/56), with propionic anhydride being the most used chemical. Acetylation is used only in 9% of studies (5/56). On the other hand, trypsin is largely used for the digestion step (86%, 48/56). The final crucial step of desalting was predominantly performed using C18 StageTips to remove impurities that could interfere with MS analysis.

The gold standard for peptide separation was liquid chromatography (LC), with C18 reversed-phase columns dominating (77%, 43/56). Mobile phases typically consisted of a binary mixture of formic acid in water (solvent A) and formic acid in acetonitrile (solvent B), a well-established system for compatibility with MS.

The MS platforms most frequently used were from the Orbitrap family (Q-Exactive/Fusion/Lumos; 66% 37/56), favored for their superior mass accuracy and high resolving power, followed by triple quadrupoles/QTRAP (16%, 9/36), TripleTOF/TOF (7%, 4/56). Imaging MS was used in 7% of the studies (4/56) with MALDI-TOF instruments.

The dominant data acquisition method was data-dependent acquisition (DDA) (52%, 29/56), a discovery-based approach that randomly selects the most abundant peptides for fragmentation. An increasing number of studies employed data-independent acquisition (DIA) or SWATH strategies (20% and 5%, respectively), which provide more comprehensive and reproducible peptide maps. Targeted multiple reaction monitoring (MRM) (18%, 10/56) and parallel reaction monitoring (PRM) (5%, 3/56) were used for focused quantification. Table 2 resumes the results in order of publication years.

Table 2.

Analyte quantification, sample pre-treatment, and instrument used in the reviewed papers.

Reference, Year Sample Instruments MS Quantifications Sample Pre-Treatment
[54], 2015 cH2AX and K5-acetylated H2AX System: LC-QqQ
Column: BEH C18, CSH C18 column
Analysis method: MRM
Acetylated and phosphorilated h2ay Acid Extraction: sulfuric acid
Precipitation: trichloroacetic
In-Solution Trypsin Digestion
Desalting: C18 StageTip.
[55], 2015 human IMR90 fibroblast cells infected with adenovirus. System: LC-Orbitrap Fusion/Q-Orbitrap
Column: C18
Eluent A: H2O and 0.1% FA
Eluent B: 95% ACN and 0.1% FA
Analysis method: DDA
Histone PMTs Acid Extraction: 0.2 M H2SO4
Precipitation: trichloroacetic acid
Propionylation: propionic anhydride in 2-propanol pH 8
Digestion: trypsin
Post-Digestion Propionylation
Desalting: C18 material
[56], 2015 HEK293 T, HCT116 cells System: LC-Q-Orbitrap
Column: C18
Eluent A: FA in H2O
Eluent B ACN
Analysis method: full scan
2. Absolute Quantification
System: LC-QTRAP
Column: Agilent Zorbax 300 SB-C18
Eluent A: FA in H2O
Eluent B: FA in ACN
Analysis method: MRM
Homocysteinylation, methylation and acetylation on histone H3 Acid Extraction: hydrochloric acid
Propionylation: NHS-propionate
Digestion: trypsin.
Post-Digestion Propionylation
[57], 2015 HeLa Cell Culture System: LC-Orbitrap
Column: C18
Eluent A: H2O
Eluent B: ACN
Analysis method: DDA
Histone peptides with modifications Acidic Extraction: sulfuric acid
Precipitation: trichloroacetic acid
Propionylation: mixture of propionic anhydride and 2-propanol
Digestion: trypsin
Post-Digestion Propionylation
Desalting: C18 Stage-tips
[58], 2015 frontal cortex from human donors with AD Qualitative Analysis
System: LC-QTOF
Column: ProtID C18 nano-chip.
Eluent A: H2O
Eluent B: ACN
Analysis method: DDA
Quantitative Analysis
System: LC-QqQ
Column: Zorbax Eclipse Plus C18
Eluent A: FA in H2O
Eluent B: FA in ACN
Analysis method: MRM
Histone
PTMs
Acid Extraction: sulfuric acid solution
Precipitation: trichloroacetic acid
Chemical derivatisation: reduction with dithiothreitol and iodoacetamide
Digestion: trypsin
[59], 2015 HEK293T cells, PC9 cells, HeLa cells System: LC-ion trap-Orbitrap
Column: C18
Eluent A: H2O and FA
Eluent B: FA and ACN.
Analysis method: DDA
Histone PMTs Acid Extraction: acid-based method.
Method 1:
Propionylation: propionic anhydride and isopropanol
Digestion: trypsin
Post-Digestion Propionylation:
Desalting: C18-stage-tip
Method 2:
Propionylation: propionic anhydride and H2O
Digestion: trypsin
Labeling: phenyl isocyanate
Acidification: trifluoroacetic acid
Desalting: C18-stage-tips.
[60], 2015 HeLa S3 cell, Jurkat, HL60, cells, PANC cells and U2OS cells PC3 cells, LHCN M2, LHCN M2 1. Top-Down H2B Analysis (HeLa and Jurkat cells)
System: LC-ion trap-Orbitrap
2. Top-Down H2B Analysis (cancer cell lines)
System: LC-Orbitrap Fusion
3. Bottom-Up Histone Analysis
System: LC-ion trap-Q-Orbitrap
Column: C18
Eluent A: H2O with FA
Eluent B: ACN with FA
Analysis method: DDA
H2B isoform composition Acid Extraction: sulfuric acid solution.
Precipitation: Trichloroacetic acid
Histone H2B Purification:
RP-HPLC
Propylanisation:
Propionic Anhydride
Digestion: trypsin for several hours.
Post-Digestion Propionylation
Desalting: C18-StageTips
[61], 2015 Normal B cells and B cells isolated from Peripheral blood CLL patients, CD19+ cells, M1–M4 cells, hTERT cells, RT4 cells a, T24 and UM-UC-3 System: LC-Q-TOF
Column: C18 column
Eluent A: trifluoroacetic acid in H2O
Eluent B: trifluoroacetic acid in ACN
Method analysis: DDA
Histone proteome Acid Extraction: sulfuric acid solution
Precipitation: trichloroacetic acid
Gel Separation: SDS-PAGE
In-Gel Digestion: trypsin,
[62], 2015 Human Neural Stem Cells System: LC-ion trap-Orbitrap
Column: C18
Eluent A: FA in H2O
Eluent B: FA in ACN
Analysis method: PRM
Histone modifications Acid extraction:
Precipitation: perchloric acid
Propionylation: mixture of propionic anhydride and isopropanol. The pH is maintained at 8–9 using ammonium hydroxide
Digestion: trypsin.
Post-Digestion Propionylation
Desalting: C18-stage-tips
[63], 2015 Human MCF7 breast cancer cells System: LC-Q-Orbitrap
Column: NanoEase C18
Eluent A: FA in H2O
Eluent B: FA in ACN
Analysis method: DIA
Histone PTMs Acid extraction
Chemical derivatisation:
Propionylation: propionic anhydride.
Digestion: trypsin
[64], 2015 hESCs strain WA09 (or H9) System: Chip-LC-TOF-TOF-TOF
Column: ChromXP C-18 chip
Eluent A: FA in H2O
Eluent B: FA in ACN
Analysis method: SWATH
Histone PMTs Acid Extraction: sulfuric acid
Precipitation: trichloroacetic acid
Propionylation: mixing propionic anhydride with 2-propanol
Digestion: trypsin
Desalting: C18 Stage-tips
[65], 2015 HeLa cells System: LC-ion trap-Q-Orbitrap
Column: homemade capillary column containing Jupiter C12 resin
Eluent A: FA in H2O
Eluent B: FA in ACN
Analysis method: DDA
Histone PMTs Acid Extraction: sulfuric acid.
Precipitation: trichloroacetic acid
Labeling: formaldehyde and cyanoborohydrate
SDS-PAGE
In-Gel Digestion: enzyme trypsin
Second Labeling
Desalting: ZipTip
[66], 2016 Karpas 422 cells System: LC-Q-Orbitrap
Column: Xselect HSS T3 C18 Mobile Phases:
Eluent A: FA in H2O
Eluent B: FA in ACN
2. Column: CORTECS HILIC Mobile Phases:
Eluent A: FA and ammonium formate in H2O;
Eluent B: FA and ammonium formate in a mixture of MeOH and ACN.
Analysis method: MRM
Histone PMTs Acid extraction: hydrochloric acid solution.
Separation: HPLC
Propionylation: propionate acid N-hydroxysuccinimide ester
Digestion: enzyme trypsin.
Post-Digestion Derivatization
[67], 2016 human primary monocyte derived macrophages System: LC-QTOF
Column: PepMap C18
Eluent A: 0.1% FA and 3% ACN
Eluent B: 0.1% FA and 97% ACN.
Analysis method: not reported
Histone PMTs Acid extraction: 0.4 N sulfuric acid
Precipitation: trichloroacetic acid
Propionylation: 3:1 propionic anhydride:ACN
in-solution digestion: trypsin
[68], 2016 human embryonic stem cells with and without retinoic acid (RA) stimulation System: LC-Orbitrap
Column: C18 column
Eluent A: H2O and and 0.1% FA
Eluent B: 95% ACN and 0.1% FA
Analysis method: DIA, DDA
Histone PMTs Acid Extraction: cold sulfuric acid solution
Precipitation: trichloroacetic acid
Propionylation: propionyl anhydride.
Digestion: trypsin
Post-Digestion Propionylation
Desalting: Stage-tip, which contains a C18 material
[69], 2016 Nnormal MCF-10A cells, parental drug-sensitive MCF-7/WT cancer cells, drug-resistant MCF-7/ADR cancer cells System: LC-QqQ
Column: HILIC
Eluent A: ammonium acetate
Eluent B: ACN
Analysis method: MRM
Asymmetric and symmetric dimethylated H3R2 Acid Extraction: sulfuric acid solution
Precipitation: acetone
Reduction: dithiothreitol and then alkylated with iodoacetamide.
Digestion: enzyme thermolysin
[70], 2016 HCT-8, HCT-116 cell lines System: LC-Q-Orbitrap
Column: Acclaim PepMap RSLC
Eluent A 0.1% FA in H2O
Eluent B: 0.1% FA in 98% ACN
Analysis method: DDA
Lysine-acetylome and global-phosphorylation Chromatin Protein Extraction: urea solution
Precipitation: trichloroacetic acid
Reduction: dithiothreitol and then alkylated with indole-3-acetic acid.
Digestion: trypsin
Affinity Enrichment: anti-lysine-acetylation and anti-lysine-phosphorylation antibody beads.
[71], 2016 Human embryonic WA01 Oct4-eGFP knock-in reporter cell line System: LC-Q-TOF
Columns: C18
Eluent A: FA in H2O
Eluent B: FA in ACN
Analysis method: DDA
Histone PMTs Acid extraction: acid not reported
Precipitation: trichloroacetic acid
Digestion: trypsin
[72], 2016 HeLa (ATCC CCL-2) System: LC-Q-Orbitrap
Columns: ReproSil-Pur C18
Eluent A: FA in H2O
Eluent B: FA in a mixture of isopropanol and MeOH
Analysis method: DDA
Acetylation changes on the histones peptide Acidic histone Extraction: hydrochloric acid
Propionylation: propionic anhydride.
Digestion: trypsin,
Desalting: UltraMicroSpin Column.
Alternative Method: FASIL
chemical modification: D3-acetylation directly on a filter.
Desalting: C18 spin columns.
[73], 2016 serum samples of patients with acute myeloid leukemia, breast cancer, and nonsmall cell lung cancer System: LC-ion trap-Q-Orbitrap
Column: C18
Eluent: ACN in 0.125% FA
Analysis method: DDA
Histone PMTs Reduction and Alkylation: dithiothreitol and iodoacetimide.
Digestion: trypsin-TPCK.
Acidification: Trichloroacetic acid
Desalting: SEP PAK Classic C18 column.
Immunoprecipitation: Antibody Binding
Second Digestion: trypsin
Final Clean-up: C18 tips
[74], 2016 Fresh-frozen Human Breast Cancer Tissue System: LC-Q-Orbitrap
Column: in-house-made C18.
Eluent A: FA in H2O
Eluent B: FA in ACN
Analysis method: DDA, full scan
Histone PMTs Lysis and Digestion: buffer with SDS and an enzyme called Benzonase
Gel Separation: SDS-PAGE gel.
Chemical alkilation: D6-acetic anhydride.
In-Gel Digestion: trypsin. Desalting: C18/C and SCX chromatography on StageTips.
[75], 2016 HeLa cells System: LC-modern Orbitrap instrument
Column: PepMap Easy-Spray
Eluent A: FA in H2O
Eluent B: FA in ACN
Analysis method: MSX-DIA
Histone PMTs Acid Extraction: sulfuric acid solution
Precipitation: trichloroacetic acid
Propionylation: mixture of propionic anhydride
Digestion: trypsin
Post-Digestion Propionylation
Desalting: C18 Stage-tips
[76], 2017 Serum human samples System: LC-Orbitrap
Analysis method: DDA
Histone analysis untargeted Protein Precipitation: trichloroacetic acid
Acid Extraction: sulfuric acid
Histone Precipitation: acetone
Digestion: trypsin
Desalting: ZipTip C18 columns
[77], 2017 HeLa cells and cells undergoing epithelial to mesenchymal transition (EMT) 1. Bottom-Up Analysis
System: LC-Q-Orbitrap
Column: ReproSil-Pur C18-AQ
Eluent A: H2O and FA
Eluent B: ACN and FA
Analysis method: DIA
2. Middle-Down Analysis
System: LC-Orbitrap Fusion
Columns: Polycat A analytical
Histone H3 N-terminal tails Acid Extraction: sulfuric acid solution
Precipitation: trichloroacetic acid
Bottom-Up MS:
Digestion: trypsin
Middle-Down MS:
Digestion: GluC
[78], 2017 HCT116 colon carcinoma MCTS 1. System: LC-ion trap-Q-Orbitrap
Column: Reprosil-Pur C18-AQ
Eluent A: H2O and FA
Eluent B: ACN and FA
Analysis Method: DIA
2. Imaging Mass Spectrometry
System: MALDI-TOF/TOF Laser: 800 laser shots per array position at a laser frequency of 1000 Hz.
Resolution: Lateral resolution is either 75 μm or 35 μm.
Histone PMTs Acid Extraction: sulfuric acid
Precipitation: trichloroacetic acid
Propionylation: propionic anhydride and ACN.
Digestion: trypsin
Post-Digestion Propionylatio
Desalting: C18 Stage-tips
Mass Spectrometry Analysis
matrix (a-cyano-4-hydroxycinnamic acid, CHCA)
[79], 2018 Human CTCL cell line HuT78 from peripheral blood of patients with Sezary syndrome System: LC-Modern Orbitrap instrument
Columns: Acclaim PepMap RSLC C18.
Eluent A: H2O and FA
Eluent B: ACN and FA
Analysis method: DDA
Modifications of the acetylated proteome. Chemical reduction and alkylation
Digestion: Lys-C/trypsin
Labeling: tandem mass tags
Clean-up: Oasis HLB cartridges
Enrichment: anti-acetyl lysine antibody beaded agarose.
[80], 2018 HeLa,293T, human embryonic stem cells, andmyoblasts System: LC-Orbitrap
Column: Reprosil-Pur C18-AQ
Eluent A: FA in H2O
Eluent B: ACN and FA
Method analysis: DIA
Histone PMTs Acid Extraction: sulfuric acid
Precipitation: trichloroacetic acid
Propionylation: propionylation solution.
Digestion: trypsin
Post-Digestion Propionylation
Desalting: C18 Stage-tips
[81], 2018 HeLa cells Sistem: LC-Orbitrap
Column: Reprosil-Pur C18-AQ nano-column
Eluent A: FA in H2O
Eluent B: ACN and FA
Analysis method: DIA
Histone peptides Acid Extraction: sulfuric acid solution.
Precipitation: trichloroacetic acid TCA
Propionylation: mixture of propionic anhydride
Digestion: trypsin.
Post-Digestion Propionylation
Desalting: C18 Stage-tips
[82], 2018 HeLa S3 cells System: LC-Fusion Lumos Orbitrap
Column: in-house packed PolyCAT A WCX-HILIC)
Eluent A: 75% ACN with 20 mM propionic acid (pH 6)
Eluent B:75% H2O with FA (pH 2.5)
Analysis method: DDA
Identification and
localization of PTMs on histones
Acidic extraction: acid not reported
Precipitation: trichloroacetic acid
Digestion: enzyme GluC pH 4
[83], 2018 MCF7-A2 cell System: LC-ion trap
Method instrument details are not reported
Acetylation of the H3.3 histone variant Method 1:
In-Gel Digestion: trypsin.
Method 2:
In-Solution Digestion with Multiple Enzymes: trypsin, chymotrypsin, and GluC.
Propionylation: propionic anhydride
[84], 2019 breast cancer cells (MDA-MB-468 and MDA-MB-453) treated with HDACi Panobinostat System: LC-TOF-TOF-TOF
Column: Triart C18
Eluent A: H2O in ACN
Eluent B: ACN in FA
Analysis Methods: DDA, SWATH
Targeted study of histones Acid Extraction: hydrochloric acid solution Precipitation: trichloroacetic acid
Propionylation: propionic anhydride solution
Digestion: trypsin
Post-Digestion Propionylation
[85], 2019 human embryonic kidney cells 293 (HEK293) System: LC-Orbitrap Fusion
Column: A Reprosil-Pur C18-AQ
Eluent A: FA in H2O
Eluent B: FA in ACN
Analysis method: DIA
Histone PTM Acid Extraction: sulfuric acid solution
Precipitation: trichloroacetic acid
Propionylation: propionic anhydride and ammonium hydroxide
Digestion: trypsin
Desalting: stage-tip made from C18 and Porous Graphitic Carbon resins.
[86], 2019 HeLa S3 cells System: LC-Orbitrap Fusion
Columns: different in-house packed columns:
C18 (Reprosil-Pur)
C30 (Develosil)
PGC (Hypercarb)
WCX-HILIC (PolyCAT A)
Analysis method:
Bottom-Up Analysis: DIA
Middle-Down Analysis: full scan, DDA
Histone modifications Acid Extraction: sulfuric acid solution
Precipitation: trichloroacetic acid
Bottom-up:
Propionylation: propionic anhydride
Digestion: trypsin
Post-Digestion Propionylation
Desalting: C18 stage-tips
Middle-down
HPLC Fractionation
Digestion: GluC
[87], 2020 human myoblast cell line, LHCN-M2 DI-Orbitrap Fusion Tribrid
Analysis method: SIM
Histone PTMs Acid Extraction: cold sulfuric acid
Precipitation: trichloroacetic acid
Propionylation: condition not reported
Digestion: Trypsin
[88], 2020 MKN45 cells. HeLa cells Affi-BAMS Assay Workflow
System: MALDI-TOF
Profiling of multiple proteins and PTMs Affi-BAMS protocols
The proteins are reduced with DTT and then alkylated with iodoacetamide
Digestion: trypsin-TPCK.
Desalting: SEP PAK Classic C18 columns
Immunoprecipitation
Bead Preparation: Specific antibodies conjugated to magnetic agarose beads overnight.
[89], 2020 cells culture LC-TOF-TOF-TOF
Column: Triart C18
Eluent: low pH reversed-phase gradient with FA and DMSO.
Analysis method: DDA
Histone PMTs Acid Extraction: sulfuric acid
Precipitation: trichloroacetic acid
Acetylation: acetic anhydride, hydroxylamine
Propionylation: propionic anhydride.
Digestion: trypsin
Desalting: Sep-Pak C18 μElution Plate.
[90], 2020 peripheral blood mononuclear cells from human patients System: LC-Orbitrap
Column: in-house packed C18
Eluent A: 0.1%FA in H2O
Eluent B: 0.1% FA in ACN
Analysis method: targeted setup
Acetylation patterns of histone H4 Acid Extraction: Sulfuric acid Precipitation: trichloroacetic acid
Gel Separation: Gel Electrophoresis
Acetylation: d6-deuterated acetic anhydride.
Digestion: trypsin
Desalting: C18-StageTips
[91], 2020 HEK293T cells, KMS11 multiple myeloma cells and NSD2 selective knockout KMS11cells 1. System: LC-ion trap-Q-Orbitrap
Column: A C18
Eluent A: FA in H2O
Eluent B: FA in ACN
2. In-Depth Analysis with LC-Orbitrap Fusion Lumos
Column: C18.
Eluent A: FA in H2O
Eluent B: FA in ACN
Analysis Method: DDA
Histone PMT Acidic extraction: hydrochloric acid
Digestion: protease OmpT.
Desalting: C18-zip-tip
[92], 2020 human breast cell lines: MCF-7/WT, MDA-MB-231 cells, MCF-10A 1. Non-Targeted Analysis
System: LC-TOF-TOF-TOF
Column: BioBasix SCX
Eluent A: low-salt solution
Eluent B:high-salt solution.
2. Targeted Analysis
System: LC-QqQ
Column: SB-C18
Eluent A: FA in H2O
Eluent B: FA in ACN
Analysis method: MRM
Site-specific histone methylations and acetylation assisted Acid extraction: sulfuric acid solution.
Precipitation: acetone.
Reduction and alkylation: dithiothreitol and iodoacetamide.
FASP Method:
loading the solution into a filter unit with a 10 kDa cutoff.
Digestion: trypsin
[93], 2020 HeLa-S3 cell, human bone marrow CD34+ cells from healthy donors (NBMs) System: LC-QqQ
Columns: PicoChip packed with Bischoff ProntoSIL C18-AQ resin
Eluent A: FA in H2O
Eluent B: FA in ACN
Analysis method: MRM
Histone PMTs Acid extraction: sulfuric acid
Precipitation: Trichloroacetic
Propionylation: mixture of isopropanol and propionic anhydride
Digestion: trypsin.
Post-Digestion Propionylation:
[94], 2021 KARPAS-422 cell line Z-138, MDA-MB-468, and Toledo lines System: LC-Orbitrap
Columns: C18
Eluent: mixture of ACN and FA.
Analysis Methods:
DDA, PRM
H3K27 and H4R3 methylation profiling Histone Acid Extraction: sulfuric acid solution
Precipitation: trichloroacetic acid
Lysine Acetylation: acetic anhydride in ACN.
Lysine Propionylation: propionic anhydride in ACN at pH 8.
Digestion: Trypsin
Desalting: Sep-Pak C18 μElution Plate
[95], 2021 Breast cancer cell line MDA-MB-468, frozen breast cancer and FFPE ovarian and head and neck cancers System: LC-Q-Orbitrap
Column: EASY-Spray
Eluent A: FA in H2O
Eluent B: FA in ACN
Analysis method: DDA
2. Imaging
System: MALDI-Q-Orbitrap
Laser Settings:349 nm and 500 Hz.
Pixel Size: spatial resolution of 35 x 35 μm.
Histone PMTs Separation:SDS-PAGE gel.
Chemical derivatisation:
Acylation: D6-acetic anhydride or propionic anhydride
In-gel digestion: trypsin. Post-Digestion Derivatization: propionic anhydride or phenyl isocyanate
Desalting: StageTips before analysis.
Preparation for MALDI-MS: indium-tin oxide slides and coated with a 2,5-dihydroxybenzoic acid matrix
[96], 2021 Chronic lymphocytic leukemia cell line MEC-1 System: LC-Modern Orbitrap instrument
Columns: Acclaim Pepmap100 C18
Eluent A: FA in H2O
Eluent B: FA in ACN
Analysis method: DDA
Histone PMTs Acid Extraction: sulfuric acid
Precipitation: trichloroacetic acid.
Chemical acylation: trimethylacetic anhydride.
Digestion: trypsin
Post-Digestion Derivatization
Desalting: HyperSep SpinTip C18
[97], 2022 C3A hepatocytes (HepG2/C3A) cultured. System: LC-HR-MS
Column: C18
Eluent A: 2% ACN + 0.1%
FA
Eluent B: 80% ACN + 0.1% FA
Analysis method: MS/MS detail not reported
Histone PMTs Acidic histone Extraction: sulfuric acid
Precipitation: cold solution of trichloroacetic acid
Digestion: trypsin
Propionylation: condition not reported
Post digestion propionylation
Desalting: HLB resin inside a well of a filter plate.
[98], 2022 human blood–derived monocytes Sistem: LC-Q-Orbitrap
Column: In-house packed columns
Eluent A: H2O
Eluent B: ACN
Analysis method: full scan, PRM
Histone modifications SDS-PAGE gel electrophoresis
In-gel digestion: trypsin
[99], 2022 Lung adenocarcinoma and paracancerous tissue samples System: LC-Q-Orbitrap
Column: Acclaim PepMap RSLC
Eluent A: FA in H2O
Eluent B: FA in ACN
Analysis method: DDA
Lysine acetylation and succinylation profile alterations Precipitation: cold solution of trichloroacetic acid
Reduction and alkylation: dithiothreitol and iodoacetamide
Digestion: trypsin
Desalting: Strata X C18 SPE column
Labeling: tandem mass tags
Desalting: Strata X C18 SPE column
[100], 2023 MCF7 cells line System: MALDI-TOF-MS
Laser Power: 20–40%.
Laser Shots: 2000 shots per spot.
Laser Frequency: 10,000 Hz.
PTM marks of H3 and H4 histones. Affi-BAMS platform
Digestion: enzyme LysC.
Peptide Enrichment: affinity capture beads
[101], 2023 HEK293T System: LC-Q-Orbitrap
Columns: in-house packed ReproSil-Pur C18-AQ
Eluent A: FA in H2O
Eluent B: FA in ACN
Analysis method: DIA
Histone propionylation Acid Extraction: sulfuric acid
Precipitation: trichloroacetic acid
Propionylation: propionic anhydride at pH 8 using ammonium
Digestion: Trypsin
Post-Digestion Propionylation
Desalting: StageTips
[102], 2023 HIV-infected and Meth exposed hMDMs System: LC-QTRAP
Column: Omega reversed-phase
Eluent A: FA in H2O
Eluent B: FA in ACN
Analysis method: MRM
Histone H3 lysine 14 acetylation stoichiometry Acid Extraction: chilled sulfuric acid solution.
Precipitation: cold trichloroacetic acid
Pre-Digestion Propionylation: propionic anhydride in ACN
Digestion: trypsin.
Post-Digestion Propionylation:
Desalting: mixed cation exchange cartridges.
[103], 2023 human plasma System: LC-Q-Orbitrap
Column: 15 cm analytical column packed with ReproSil-Pur C18-AQ
Eluent A: 0.1% formia acid in H2O
Eluent B: 0.1% FA in ACN
Analysis method: DDA
Histone PMTs Nucleosome Immunoprecipitation: anti-histone H3.1 antibody
Propionylation
Digestion: trypsin.
[104], 2024 Human breast cancer cell lines, MCF-7 (luminal A), T47D (luminal A), BT474 (luminal B), ZR-75-30 (luminal B), HCC1954 (HER2+), SK-BR-3 (HER2+), MDA-MB-231. breast tissue (TNBC), and MDA-MB-468 (TNBC), normal breast cell line, MCF-10A, System: LC-Modern Orbitrap instrument
Column: A C18 column is used for separation.
Eluent A: FA in H2O
Eluent B: FA in ACN
Analysis method: DDA
Targeted Proteomics
System: LC-Q-TRAP
Column: InfinityLab Poroshell 120 SB C18
Analysis method: MRM
Histone PTMs Acid Extraction: sulfuric acid
Precipitation: Trichloroacetic acid
Chemical Derivatization:
Propionylation: condition not reported
Digestion: trypsin
Post-Digestion Propionylation:
Desalting: C18 Pierce Spin Tips
[105], 2024 normal and tumor breast clinical samples System: LC-Q-Orbitrap
Column: EASY-Spray C18
Eluent A: FA in H2O,
Eluent B ACN and FA.
Analysis method: DDA
Histone PTMs and histone acylations: propionylations and butyrylations Gel electrophoresis step
Propionylation: propionic anhydride or deuterated propionic anhydride.
Digestion: trypsin
Post digestion derivatisation: deuterated propionic anhydride
Acidification: trifluoroacetic acid
Desalting: C18 StageTips
[106], 2024 HEK293 e 293T System: LC-Q-Orbitrap
Column: in-house fabricated C18 fused silica column
Eluent A: FA in H2O
Eluent B: FA in ACN
Analysis method: DDA
Histone ubiquitination marks 2AK119ub and H2BK120ub. Acid Extraction: sulfuric acid solution
Precipitation: Trichloroacetic acid
Digestion: trypsin
Propionylation: propionic anhydride
Desalting: C18 StageTips
[107], 2025 MEC-1 chronic lymphocytic leukemia cell line System: LC-Modern Orbitrap instrument
Column: Aurora C18
Eluent A: mixture of FA in H2O
Eluent B:FA in 80% ACN
Method analysis: DDA
Histone PMTs Acid Extraction: ice-cold sulfuric acid
Precipitation: ice-cold trichloroacetic acid
Chemical Derivatization: trimethylammonium
Digestion: enzyme Arg-C Ultra
Post-Digestion Propionylation: trimethylammonium Desalting: AttractSPE® Tips C18
[108], 2025 human lung adenocarcinoma cell line NCI-H1437 System: LC-Q-TOF
Liquid Chromatography (LC)
Column: Kinetex XB C18
Eluent A: FA in H2O
Eluent B: FA in ACN
Analysis method: SWATH DIA
Histone PMTs Acid Extraction: sulfuric acid solution.
Precipitation: trichloroacetic acid
Propionylation: propionic anhydride
Digestion: trypsin
Post-Digestion Propionylation
[109], 2025 standard solutions System: LC-Q-TOF
Column: nanoEase M/Z Protein BEH C4 Column
Eluent A: 0.1% FA in H2O
Eluent B: 0.1% FA in ACN
Analysis method: MRM
PMTs site localization, histone PMTs No treatment for standard solutions

4. Discussion

4.1. DNA Methylation

The collected data clearly show a community preference for targeted, quantitative LC–MS/MS on triple-quadrupole platforms for DNA methylation and nucleoside quantification. This choice reflects the need for high sensitivity and the routine use of multiple reaction monitoring (MRM/SRM) methods for quantifying low-abundance modified nucleosides in complex biological matrices.

However, the sample pre-treatment methods show significant variability, with enzymatic hydrolysis being the most frequently employed approach. Some studies adopt hybrid approaches, combining chemical and enzymatic steps to balance speed and fidelity, though optimization is critical to avoid inconsistent recoveries.

A key challenge that has been identified is the need for highly effective purification and pre-concentration steps. Several studies have mentioned the use of solid-phase extraction (SPE) or specific precipitation methods to address matrix effects and improve recovery. These patterns suggest that the field is moving towards two complementary strategies: enzymatic digestion and targeted LC–QqQ quantitation for robust quantification, and labeling/derivatisation or high-resolution mass spectrometry (HR-MS) approaches for extreme sensitivity or the broader discovery of low-abundance species. Chemical modifications are increasingly being used to improve the efficiency and sensitivity of ionization. Examples include labeling 5hmdC with beta-glucosyltransferase, derivatisation with 4-(dimethylamino)benzoic anhydride or chemical labeling for the targeted analysis of oxidized nucleosides. Although HR-MS offers powerful structural capabilities, it may exhibit a reduced dynamic range and often requires more complex data processing, ultimately limiting throughput. In parallel, some studies have explored MALDI-TOF [28,44] and LAMP-TOF [51] for site-specific methylation analysis, providing rapid screening options, albeit with lower sensitivity than LC-MS/MS.

An additional consideration emerges from the observed trends in chromatography and the mobile phase. Although the prevalence of C18 reversed-phase columns (around 74%) demonstrates their versatility in nucleoside analysis, they can struggle to retain highly polar analytes such as 5hmC or 5fC. This could justify the use of HILIC phases (approximately 19%) or graphitized carbon supports (approximately 7%) in targeted workflows.

Nevertheless, the review highlights several critical limitations. A major issue is theinconsistent reporting: while most studies provide some validation parameters, many fail to present a comprehensive validation set, including matrix effects, recovery across the analytical range, and stability assessments. The absence of such information complicates cross-study comparisons and undermines the feasibility of meaningful meta-analyses. This gap poses a significant challenge for the scientific community as it limits the ability to evaluate data quality and reproduce results across laboratories. Ultimately, it compromises the robustness and reliability of the findings.

Secondly, methodological choices inherently involve trade-offs. Enzymatic hydrolysis protocols are generally preferred due to their ability to reduce the risk of artefactual degradation. Indeed, enzymatic digestion is gentler and better preserves oxidized cytosine derivatives, improving accuracy for low-abundance modifications. The main drawback of enzymatic digestion is the increased complexity and duration of multi-step protocols, which may introduce variability if enzyme activity or incubation conditions are not rigorously controlled. In contrast, strong-acid hydrolysis is a simpler and faster approach, but the harsh conditions may introduce artificial base modifications. Rapid chemical hydrolysis is convenient, but it may introduce bias in the quantification of labile marks. It typically involves high-temperature, FA treatment and provides rapid and straightforward DNA cleavage, making it suitable for high-throughput applications. However, this approach can induce partial degradation of labile modifications, particularly 5hmC and 5fC, which could lead to an underestimation of these marks.

The impact of matrix effects is a recurring issue, as highlighted in several articles which emphasize the need for specific purification and pre-concentration steps, such as SPE. Endogenous compounds present in complex biological matrices (e.g., serum, urine or tissue lysates) can interfere with the MS signal, resulting in inaccurate quantification. While some studies address this with specific protocols, there is no consistent, robust approach yet to mitigate these effects. Pre-analytical heterogeneity (e.g., different DNA extraction kits, inconsistent use of internal standards (IS), and varied cleanup procedures) introduces potential biases: reported recoveries span a wide range, and not all studies correct for recovery or matrix suppression using isotopically labeled IS. The lack of a single, universally adopted protocol contributes to variability between methods. The diversity of sample preparation methods, combined with the lack of comprehensive validation reporting, highlights the urgent need to develop and adopt harmonized protocols to ensure the quality, comparability, and reliability of DNA methylation data in research and clinical settings. Moreover, studies frequently prioritize technical precision over addressing potential pre-analytical sources of error, such as DNA degradation during storage or extraction. This can have a disproportionate impact on oxidized derivatives. Furthermore, while triple-quadrupole MS remains the gold standard for targeted quantification, the relatively limited application of HR-MS contrasts with its widespread use. HR-MS would allow for the more confident identification of unexpected or novel nucleoside modifications and better resolution of isobaric interferences. Meanwhile, MALDI-and TOF-based approaches, although adopted by only a minority of studies, offer certain advantages, such as higher throughput and positional information (e.g., EpiTyper MALDI assays). However, these methods generally have lower quantitative sensitivity than QqQ platforms. MALDI-TOF in particular suffers from a restricted dynamic range and limited accuracy in measuring methylation levels, despite its promise.

Finally, many reports have limited sample sizes and clinical validation (small cohorts and single-center measurements).

However, to advance clinical translation and enable reliable cross-study synthesis, future work should emphasize full method validation (including matrix effect assessment and stability), wider adoption of isotopically labeled standards, and coordinated inter-laboratory standardization, while preserving the complementary role of high-resolution and derivatisation-based methods for discovery and applications requiring extreme sensitivity. This convergence would ultimately improve the reproducibility of methylation biomarker studies and accelerate the transition from analytical development to clinically actionable assays.

4.2. Histone PMTs

A critical evaluation of these findings shows that, despite being well-established, the field of histone proteomics faces significant challenges that prevent it from reaching its full potential. The data show a strong trend towards in vitro cell line models (48 articles), with only a small proportion of studies (8 articles) utilizing direct human samples. This methodological preference has important implications for the applicability of research findings. While these models offer advantages such as reproducibility and experimental control, their altered and simplified biology may not accurately reflect the complex PTM dynamics observed in living human organisms or tissues. The limited use of human samples, predominantly blood-derived cells, highlights the logistical challenges of obtaining and processing more complex clinical specimens. The discrepancy between in vitro and clinical models remains a critical bottleneck in the field.

While technically sound, the heavy reliance on the bottom-up approach is a major impediment to deciphering the histone code. Although this method simplifies the analytical process by breaking down histones into smaller peptides, it has a significant and frequently overlooked drawback: it destroys information about PTM combinatorial patterns on a single histone molecule. The loss of this ‘PTM crosstalk’ is a fundamental limitation that prevents a complete understanding of the complex biological code encoded by multiple PTMs on a single histone molecule. Identifying individual modifications is not enough; the biological meaning resides in their specific combinations. The fact that only a handful of studies have explored middle-down or top-down proteomics highlights a methodological gap that the field must address to gain a more comprehensive understanding of histone PTM dynamics.

Concerning the sample pre-treatment, the subsequent core procedure is proteolytic digestion, primarily performed using trypsin to achieve robust peptide coverage for bottom-up analyses. However, trypsin can cleave after methylated or acetylated lysines, which makes identifying PTM sites challenging. To address this issue, many protocols incorporate propionylation (either before or after digestion) to seal off the free N-termini of lysine and prevent non-specific enzymatic cleavage. This makes it easier to localize the marks of methylation and acetylation with confidence. However, the strong reliance on propionylation improves chromatographic behavior and tryptic specificity; incomplete propionylation, variability in derivatisation efficiency between samples, and side reactions on certain acyl marks can distort stoichiometry. Alternative approaches, such as acylation using acetic or deuterated acetic anhydride, and alkylation using dithiothreitol or iodoacetamide, offer partial solutions, but they can introduce artifacts or fail to capture transient modifications. Furthermore, enzymes such as GluC are used in middle-down approaches to produce longer peptides, which are beneficial for analyzing PTMs that are far apart on the histone tail. This preserves combinatorial information that is often lost in bottom-up methods.

Rigorous inclusion of internal heavy standards is still not systematic. On the other hand, although acid extraction is fast and efficient, it risks disturbing labile PTMs (e.g., some acylations and phospho-marks), and when combined with extensive TCA precipitation, it can result in losses or introducing matrix components that complicate ionization.

The most prevalent bottom-up approaches afford high site-specific resolution, but obscure combinatorial PTM patterns. Conversely, middle-down and top-down analyses preserve such patterns, but require greater sample input, complex workflows, and advanced instrumentation, which limits their routine adoption.

In the field of MS, targeted methods such as MRM and PRM improve quantitative reliability but limit global discovery. In contrast, DDA and DIA approaches enable broader mapping but sacrifice sensitivity to low-abundance marks. Orbitrap-centric DDA offers high mass accuracy and extensive coverage, but is affected by stochastic precursor sampling and co-isolation interference. DIA/SWATH is used for a significant proportion of applications, yet remains underutilized despite its advantages in reproducible quantification. This is probably due to the limited availability of histone-tail-specific spectral libraries and turnkey scoring workflows. The shift from DDA to DIA is particularly encouraging. DIA enables comprehensive, systematic, and quantitative analysis by acquiring all fragment ion spectra, thus overcoming the stochasticity of DDA and providing a more complete dataset. Developing advanced software and bioinformatic pipelines is also crucial for interpreting the immense complexity of the data generated by these high-throughput techniques.

Overall, these statistics demonstrate the ongoing challenge of balancing methodological compromises. High-throughput and sensitive quantification often come at the expense of combinatorial context and reproducibility. Conversely, approaches that capture PTM complexity tend to be less scalable and more demanding in terms of instrumentation. However, the technological landscape offers some promising solutions. Adopting new-generation instruments such as modern Orbitrap and Q-TOF instrumentation represents a significant advance. These hybrid instruments combine the speed of a linear ion trap with the high resolution of an Orbitrap, enabling faster and more precise analysis. Overall, the weak link is reproducibility: extraction protocols, derivatisation efficiency, choice of acquisition mode, and variable clean-up steps all create avoidable variance between studies.

Looking to the future, several areas are essential for the field to progress. Firstly, there is an urgent need for standardized protocols to ensure inter-laboratory reproducibility and facilitate data sharing. The development of community reference materials and internal standards is crucial for benchmarking acid versus extraction, codifying propionylation protocols (including checks for over-derivatisation), and reporting QC metrics such as digestion efficiency.

Secondly, research should focus on developing and implementing methodologies that preserve PTM combinatorial information, such as combined top-down/middle-down approaches. DIA should be adopted more broadly alongside openly shared, histone-focused libraries, and DIA/PRM should be paired with rigorous interference evaluation. Finally, software pipelines should be consolidated (with open formats, versioned parameters, unit-tested quantification and ready-to-reuse Skyline/EpiProfile-style templates).

4.3. General Observations Across MS-Based Epigenetic Workflows

In addition to the heterogeneity observed across analytical workflows, several studies highlight the importance of addressing the stability of epigenetic marks during sample preparation and storage. A subset of the reviewed articles includes oxidized nucleobases such as 8-oxo-dG, 5-formyl-dC or 5-carboxyl-dC among their analytical targets, underscoring their relevance not only as markers of oxidative stress but also as potential artifacts introduced during DNA extraction, storage, and hydrolysis (e.g., references [25,38,47] in our review). This aspect has also been highlighted in the broader literature, where several authors note that improper sample handling can lead to spontaneous oxidation of guanine-or cytosine-derived species. For example, substantial discrepancies in reported endogenous levels of cellular 8-oxodG are largely attributed to artefactual oxidation of dG occurring during DNA isolation and processing [110]. Future methodological developments should therefore prioritize standardized protocols aimed at minimizing artefactual oxidation, including: (i) the systematic use of antioxidants (e.g desferrioxamine (DFAM) or butylated hydroxytoluene (BHT) [111]) during extraction; (ii) controlled-temperature workflows for hydrolysis and enzymatic digestion [112]; (iii) immediate stabilization and aliquoting to reduce freeze–thaw cycles [112]; and (iv) validated storage conditions for long-term biobanking. Harmonizing such practices across laboratories would significantly improve reproducibility, especially in studies quantifying low-abundance modified nucleosides. Integrating these stabilization strategies into MS-based epigenetic pipelines represents a key future direction for the field.

Although the primary focus of this scoping review is the analytical variability of MS-based approaches for epigenetic analysis, it is worth noting that several articles in the broader literature highlight additional practical aspects influencing the adoption of these methodologies. In particular, some authors underline that access to MS platforms, especially in laboratories without established analytical facilities, and the need for operators with specific training in sample processing and data interpretation may represent relevant barriers to widespread implementation [113,114,115,116,117].

5. Conclusions

Overall, while the field benefits from advanced MS technologies and diverse analytical targets, future work should prioritize methodological standardization, comprehensive validation reporting, and integrated multi-omics approaches to enhance biological insight and clinical translational potential.

The ultimate challenge will be to integrate histone proteomics and DNA methylation data with other ‘omics’ platforms (e.g., transcriptomics and genomics) to reveal the entire network of epigenetic regulation. Histone PTM and DNA methylation research will only evolve from a characterisation tool to a means of understanding the molecular mechanisms of health and disease by combining robust methods, state-of-the-art instrumentation, and sophisticated bioinformatics.

Abbreviations

The following abbreviations are used in this manuscript:

PMTs post-translation modifications
Cyt Cytidine
5mC 5-Methylcytosine
5hmC 5-Hydroxymethylcytosine
5caC 5-Carboxylcytosine
5fC 5-Formylcytosine
dC Deoxycytidine
5mdC 5-Methyldeoxycytidine
5hmdC 5-Hydroxymethyldeoxycytidine
4mdC N4-Methyldeoxycytidine
5cadC 5-Carboxyldeoxycytidine
5fdC 5-Formyldeoxycytidine
5-Aza-dC 5-Azadeoxycytidine
2o-mdC 2′-Oxymethylcytidine
dG 2′-Deoxyguanosine
5-fodC 5-Formyl-2′-deoxycytidine
5forC 5-Formylcytidine
5-fodU 5-Formyl-2′-deoxyuridine
5-forU 5-Formyluridine
5forCm 2′-O-methyl-5-formylcytidine
5-forUm 2′-O-methyl-5-formyluridine
5hmdU 5-Hydroxymethyldeoxyuridine
dA 2′-Deoxyadenosine
dT Thymidine
N3-5gmdC 6-Azide-β-glucosyl-5-hydroxymethylcytidine
O6-Me-dG O6-Methyl-2′-deoxyguanosine
O6-CM-dG O6-Carboxymethyl-2′-deoxyguanosine
N6-CM-dA N6-Carboxymethyl-2′-deoxyadenosine
εdA N6-Vinyl-2′-deoxyadenosine
N2-Et-dG N2-Ethyl-2′-deoxyguanosine
5-Cl-dC 5-Chloro-2′-deoxycytidine
Guo Guanosine
Ado Adenosine
Urd Uridine
5-methyluridine 5-Methyluridine
dU 2′-Deoxyuridine
m6dA N6-Methyl-2′-deoxyadenosine
3MeA N3-Methyladenine
7MeG N7-Methylguanine
6MeG O6-Methylguanine
1MeG 1-Methylguanine
9MeG 9-Methylguanine
2EtdG 2-Ethyl-2′-deoxyguanosine
1MeA 1-Methyladenine
9MeA 9-Methyladenine
MeA 3-Methyladenine (come da tua lista)
9EtA 9-Ethyladenine
9EtG 9-Ethylguanine
Ino Inosine
5-methyl-CMP 5-Methylcytidylic acid
FA Formic Acid
ACN Acetonitrile
MeOH Methanol
LOD Limit of Detection
LLOD Lower Limit of Detection
LOQ Limit of Quantification
LLOQ Lower Limit of Quantification
RSD Relative Standard Deviation
CV Coefficient of Variation
LC Liquid Chromatography
QqQ Triple Quadrupole
Q Quadrupole
TOF Time-of-Flight
ICP Inductively Coupled Plasma
MALDI Matrix-Assisted Laser Desorption/Ionization
DESI Desorption Electrospray Ionization
CE Capillary Electrophoresis
HILIC Hydrophilic Interaction Liquid Chromatography
LAMP Linear Amplification
AD Alzheimer’s Disease
CRC Colon Rectal Cancer
Affi-BAMS Affinity-bead Assisted Mass Spectrometry
SDS-PAGE Sodium Dodecyl Sulfate Polyacrylamide Gel Electrophoresis
SPE Solid Phase Extraction
DI Direct Infusion
DDA Data-Dependent Acquisition
DIA Data-Independent Acquisition
SIM Selected Ion Monitoring
PRM Parallel Reaction Monitoring
MRM Multiple Reaction Monitoring
SWATH Sequential Window Acquisition of all Theoretical Fragmention Spectra

Author Contributions

Conceptualization, R.C., F.S.V. and E.P.; methodology, R.C., A.M., A.P.L.M., F.B. and C.Z.; validation, R.C. and E.P.; investigation, R.C. and A.M.; resources, R.C. and A.M.; data curation, R.C. and E.P.; writing—original draft preparation, R.C., A.M., A.P.L.M. and E.P.; writing—review and editing, R.C., E.P., F.B., C.Z., E.N. and F.S.V.; supervision, E.P., E.N. and F.S.V.; project administration F.B., C.Z., E.P., E.N. and F.S.V.; funding acquisition, F.S.V. and E.N. All authors have read and agreed to the published version of the manuscript.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Conflicts of Interest

The authors declare no conflicts of interest.

Funding Statement

This research was funded by the Ministry of Health—National Recovery and Resilience Plan (PNRR), Mission 6 Component 2—Investment 2.1 “Enhancement and strengthening of biomedical research of the National Health Service”, financed by the European Union—NextGenerationEU—1st Public Call—Project “Night-shift work and breast cancer”—PNRR-MAD-2022-12376823—CUP F33C22001130001.

Footnotes

Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

References

  • 1.Chen S., Lai W., Wang H. Recent Advances in High-Performance Liquid Chromatography Tandem Mass Spectrometry Techniques for Analysis of DNA Damage and Epigenetic Modifications. Mutat. Res.—Genet. Toxicol. Environ. Mutagen. 2024;896:503755. doi: 10.1016/j.mrgentox.2024.503755. [DOI] [PubMed] [Google Scholar]
  • 2.Unnikrishnan A., Freeman W.M., Jackson J., Wren J.D., Porter H., Richardson A. The Role of DNA Methylation in Epigenetics of Aging. Pharmacol. Ther. 2019;195:172–185. doi: 10.1016/j.pharmthera.2018.11.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Sadida H.Q., Abdulla A., Marzooqi S.A., Hashem S., Macha M.A., Akil A.S.A.-S., Bhat A.A. Epigenetic Modifications: Key Players in Cancer Heterogeneity and Drug Resistance. Transl. Oncol. 2024;39:101821. doi: 10.1016/j.tranon.2023.101821. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Papait R., Serio S., Condorelli G. Role of the Epigenome in Heart Failure. Physiol. Rev. 2020;100:1753–1777. doi: 10.1152/physrev.00037.2019. [DOI] [PubMed] [Google Scholar]
  • 5.Tahiliani M., Koh K.P., Shen Y., Pastor W.A., Bandukwala H., Brudno Y., Agarwal S., Iyer L.M., Liu D.R., Aravind L., et al. Conversion of 5-Methylcytosine to 5-Hydroxymethylcytosine in Mammalian DNA by MLL Partner TET1. Science. 2009;324:930–935. doi: 10.1126/science.1170116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Pajares M.J., Palanca-Ballester C., Urtasun R., Alemany-Cosme E., Lahoz A., Sandoval J. Methods for Analysis of Specific DNA Methylation Status. Methods. 2021;187:3–12. doi: 10.1016/j.ymeth.2020.06.021. [DOI] [PubMed] [Google Scholar]
  • 7.Traube F.R., Schiffers S., Iwan K., Kellner S., Spada F., Müller M., Carell T. Isotope-Dilution Mass Spectrometry for Exact Quantification of Noncanonical DNA Nucleosides. Nat. Protoc. 2019;14:283–312. doi: 10.1038/s41596-018-0094-6. [DOI] [PubMed] [Google Scholar]
  • 8.Cooke M.S., Evans M.D., Dizdaroglu M., Lunec J. Oxidative DNA Damage: Mechanisms, Mutation, and Disease. FASEB J. 2003;17:1195–1214. doi: 10.1096/fj.02-0752rev. [DOI] [PubMed] [Google Scholar]
  • 9.Luger K., Mäder A.W., Richmond R.K., Sargent D.F., Richmond T.J. Crystal Structure of the Nucleosome Core Particle at 2.8 Å Resolution. Nature. 1997;389:251–260. doi: 10.1038/38444. [DOI] [PubMed] [Google Scholar]
  • 10.Audia J.E., Campbell R.M. Histone Modifications and Cancer. Cold Spring Harb. Perspect. Biol. 2016;8:a019521. doi: 10.1101/cshperspect.a019521. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Tricco A.C., Lillie E., Zarin W., O’Brien K.K., Colquhoun H., Levac D., Moher D., Peters M.D.J., Horsley T., Weeks L., et al. PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation. Ann. Intern. Med. 2018;169:467–473. doi: 10.7326/M18-0850. [DOI] [PubMed] [Google Scholar]
  • 12.Page M.J., McKenzie J.E., Bossuyt P.M., Boutron I., Hoffmann T.C., Mulrow C.D., Shamseer L., Tetzlaff J.M., Akl E.A., Brennan S.E., et al. The PRISMA 2020 Statement: An Updated Guideline for Reporting Systematic Reviews. BMJ. 2021;372:n71. doi: 10.1136/bmj.n71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Moore L.D., Le T., Fan G. DNA Methylation and Its Basic Function. Neuropsychopharmacology. 2013;38:23–38. doi: 10.1038/npp.2012.112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Rotondo J.C., Aquila G., Oton-Gonzalez L., Selvatici R., Rizzo P., De Mattei M., Pavasini R., Tognon M., Campo G.C., Martini F. Methylation of SERPINA1 Gene Promoter May Predict Chronic Obstructive Pulmonary Disease in Patients Affected by Acute Coronary Syndrome. Clin. Epigenetics. 2021;13:79. doi: 10.1186/s13148-021-01066-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Rotondo J.C., Oton-Gonzalez L., Selvatici R., Rizzo P., Pavasini R., Campo G.C., Lanzillotti C., Mazziotta C., De Mattei M., Tognon M., et al. SERPINA1 Gene Promoter Is Differentially Methylated in Peripheral Blood Mononuclear Cells of Pregnant Women. Front. Cell Dev. Biol. 2020;8:550543. doi: 10.3389/fcell.2020.550543. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Greenberg M.V.C., Bourc’his D. The Diverse Roles of DNA Methylation in Mammalian Development and Disease. Nat. Rev. Mol. Cell Biol. 2019;20:590–607. doi: 10.1038/s41580-019-0159-6. [DOI] [PubMed] [Google Scholar]
  • 17.Singer B.D. A Practical Guide to the Measurement and Analysis of DNA Methylation. Am. J. Respir. Cell Mol. Biol. 2019;61:417–428. doi: 10.1165/rcmb.2019-0150TR. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Rotondo J.C., Lanzillotti C., Mazziotta C., Tognon M., Martini F. Epigenetics of Male Infertility: The Role of DNA Methylation. Front. Cell Dev. Biol. 2021;9:689624. doi: 10.3389/fcell.2021.689624. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Schübeler D. Function and Information Content of DNA Methylation. Nature. 2015;517:321–326. doi: 10.1038/nature14192. [DOI] [PubMed] [Google Scholar]
  • 20.Wu H., Zhang Y. Mechanisms and Functions of Tet Protein-Mediated 5-Methylcytosine Oxidation. Genes. Dev. 2011;25:2436–2452. doi: 10.1101/gad.179184.111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Hieda M., Matsuura N., Kimura H. Histone Modifications Associated with Cancer Cell Migration and Invasion. In: Verma M., editor. Cancer Epigenetics. Vol. 1238. Springer; New York, NY, USA: 2015. pp. 301–317. (Methods in Molecular Biology). [DOI] [PubMed] [Google Scholar]
  • 22.Lin S., Garcia B.A. Methods in Enzymology. Vol. 512. Elsevier; Amsterdam, The Netherlands: 2012. Examining Histone Posttranslational Modification Patterns by High-Resolution Mass Spectrometry; pp. 3–28. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Iglesias T., Espina M., Montes-Bayón M., Sierra L., Blanco-González E. Anion Exchange Chromatography for the Determination of 5-Methyl-2′-Deoxycytidine: Application to Cisplatin-Sensitive and Cisplatin-Resistant Ovarian Cancer Cell Lines. Anal. Bioanal. Chem. 2015;407:2423–2431. doi: 10.1007/s00216-014-8070-7. [DOI] [PubMed] [Google Scholar]
  • 24.Desjobert C., El Maï M., Gérard-Hirne T., Guianvarc’h D., Carrier A., Pottier C., Arimondo P.B., Riond J. Combined Analysis of DNA Methylation and Cell Cycle in Cancer Cells. Epigenetics. 2015;10:82–91. doi: 10.1080/15592294.2014.995542. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Yin R., Mo J., Lu M., Wang H. Detection of Human Urinary 5-Hydroxymethylcytosine by Stable Isotope Dilution HPLC-MS/MS Analysis. Anal. Chem. 2015;87:1846–1852. doi: 10.1021/ac5038895. [DOI] [PubMed] [Google Scholar]
  • 26.Xiong J., Jiang H.-P., Peng C.-Y., Deng Q.-Y., Lan M.-D., Zeng H., Zheng F., Feng Y.-Q., Yuan B.-F. DNA Hydroxymethylation Age of Human Blood Determined by Capillary Hydrophilic-Interaction Liquid Chromatography/Mass Spectrometry. Clin. Epigenetics. 2015;7:72. doi: 10.1186/s13148-015-0109-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Si X., Zhao Y., Yang C., Zhang S., Zhang X. DNA Methylation as a Potential Diagnosis Indicator for Rapid Discrimination of Rare Cancer Cells and Normal Cells. Sci. Rep. 2015;5:11882. doi: 10.1038/srep11882. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Alnaes G., Ronneberg J., Kristensen V., Tost J. Heterogeneous DNA Methylation Patterns in the GSTP1 Promoter Lead to Discordant Results between Assay Technologies and Impede Its Implementation as Epigenetic Biomarkers in Breast Cancer. Genes. 2015;6:878–900. doi: 10.3390/genes6030878. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Yuan F., Zhang X., Nie J., Chen H., Zhou Y., Zhang X. Ultrasensitive Determination of 5-Methylcytosine and 5-Hydroxymethylcytosine in Genomic DNA by Sheathless Interfaced Capillary Electrophoresis-Mass Spectrometry. Chem. Commun. 2016;52:2698–2700. doi: 10.1039/C5CC10155G. [DOI] [PubMed] [Google Scholar]
  • 30.Guo M., Li X., Zhang L., Liu D., Du W., Yin D., Lyu N., Zhao G., Guo C., Tang D. Accurate Quantification of 5-Methylcytosine, 5-Hydroxymethylcytosine, 5-Formylcytosine, and 5-Carboxylcytosine in Genomic DNA from Breast Cancer by Chemical Derivatization Coupled with Ultra Performance Liquid Chromatography-Electrospray Quadrupole Time of Flight Mass Spectrometry Analysis. Oncotarget. 2017;8:91248–91257. doi: 10.18632/oncotarget.20093. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Jiang H., Liu T., Guo N., Yu L., Yuan B., Feng Y. Determination of Formylated DNA and RNA by Chemical Labeling Combined with Mass Spectrometry Analysis. Anal. Chim. Acta. 2017;981:1–10. doi: 10.1016/j.aca.2017.06.009. [DOI] [PubMed] [Google Scholar]
  • 32.Shahal T., Koren O., Shefer G., Stern N., Ebenstein Y. Hypersensitive Quantification of Global 5-Hydroxymethylcytosine by Chemoenzymatic Tagging. Anal. Chim. Acta. 2018;1038:87–96. doi: 10.1016/j.aca.2018.08.035. [DOI] [PubMed] [Google Scholar]
  • 33.Vető B., Szabó P., Bacquet C., Apró A., Hathy E., Kiss J., Réthelyi J.M., Szeri F., Szüts D., Arányi T. Inhibition ofDNAMethyltransferase Leads to Increased Genomic 5-hydroxymethylcytosine Levels in Hematopoietic Cells. FEBS Open Bio. 2018;8:584–592. doi: 10.1002/2211-5463.12392. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Yin J., Chen S., Zhang N., Wang H. Multienzyme Cascade Bioreactor for a 10 Min Digestion of Genomic DNA into Single Nucleosides and Quantitative Detection of Structural DNA Modifications in Cellular Genomic DNA. ACS Appl. Mater. Interfaces. 2018;10:21883–21890. doi: 10.1021/acsami.8b05399. [DOI] [PubMed] [Google Scholar]
  • 35.Guo C., Xie C., Chen Q., Cao X., Guo M., Zheng S., Wang Y. A Novel Malic Acid-Enhanced Method for the Analysis of 5-Methyl-2′-Deoxycytidine, 5-Hydroxymethyl-2′-Deoxycytidine, 5-Methylcytidine and 5-Hydroxymethylcytidine in Human Urine Using Hydrophilic Interaction Liquid Chromatography-Tandem Mass Spectrometry. Anal. Chim. Acta. 2018;1034:110–118. doi: 10.1016/j.aca.2018.06.081. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Roosendaal J., Rosing H., Lucas L., Oganesian A., Schellens J.H.M., Beijnen J.H. Development, Validation, and Clinical Application of a High-Performance Liquid Chromatography-Tandem Mass Spectrometry Assay for the Quantification of Total Intracellular β-Decitabine Nucleotides and Genomic DNA Incorporated β-Decitabine and 5-Methyl-2′-Deoxycytidine. J. Pharm. Biomed. Anal. 2019;164:16–26. doi: 10.1016/j.jpba.2018.10.001. [DOI] [PubMed] [Google Scholar]
  • 37.Nakagawa T., Wakui M., Hayashida T., Nishime C., Murata M. Intensive Optimization and Evaluation of Global DNA Methylation Quantification Using LC-MS/MS. Anal. Bioanal. Chem. 2019;411:7221–7231. doi: 10.1007/s00216-019-02115-3. [DOI] [PubMed] [Google Scholar]
  • 38.Tang Y., Wang Z., Li M., Zhang R., Zhang J. Simultaneous Quantitation of 14 DNA Alkylation Adducts in Human Liver and Kidney Cells by UHPLC-MS/MS: Application to Profiling DNA Adducts of Genotoxic Reagents. J. Pharm. Biomed. Anal. 2019;166:387–397. doi: 10.1016/j.jpba.2019.01.034. [DOI] [PubMed] [Google Scholar]
  • 39.Guo M., Liu D., Sha Q., Geng H., Liang J., Tang D. Succinic Acid Enhanced Quantitative Determination of Blood Modified Nucleosides in the Development of Diabetic Nephropathy Based on Hydrophilic Interaction Liquid Chromatography Mass Spectrometry. J. Pharm. Biomed. Anal. 2019;164:309–316. doi: 10.1016/j.jpba.2018.10.042. [DOI] [PubMed] [Google Scholar]
  • 40.Yuan F., Bi Y., Zhang J.-Y., Zhou Y.-L., Zhang X.-X., Song C.-X. 5-Carboxylcytosine Is Resistant towards Phosphodiesterase I Digestion: Implications for Epigenetic Modification Quantification by Mass Spectrometry. RSC Adv. 2019;9:29010–29014. doi: 10.1039/C9RA04375F. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Szabó B., Németh K., Mészáros K., Szücs N., Czirják S., Reiniger L., Rajnai H., Krencz I., Karászi K., Krokker L., et al. Demethylation Status of Somatic DNA Extracted From Pituitary Neuroendocrine Tumors Indicates Proliferative Behavior. J. Clin. Endocrinol. Metab. 2020;105:dgaa156. doi: 10.1210/clinem/dgaa156. [DOI] [PubMed] [Google Scholar]
  • 42.Yuan F., Yu Y., Zhou Y.-L., Zhang X.-X. 5hmC-MIQuant: Ultrasensitive Quantitative Detection of 5-Hydroxymethylcytosine in Low-Input Cell-Free DNA Samples. Anal. Chem. 2020;92:1605–1610. doi: 10.1021/acs.analchem.9b04920. [DOI] [PubMed] [Google Scholar]
  • 43.Németh K., Mészáros K., Szabó B., Butz H., Arányi T., Szabó P. A Relative Quantitation Method for Measuring DNA Methylation and Hydroxymethylation Using Guanine as an Internal Standard. Anal. Methods. 2021;13:4614–4622. doi: 10.1039/D1AY00897H. [DOI] [PubMed] [Google Scholar]
  • 44.Yin Y., Lei S., Li L., Yang X., Yin Q., Xu T., Zhou W., Li H., Gu W., Ma F., et al. RPTOR Methylation in the Peripheral Blood and Breast Cancer in the Chinese Population. Genes Genom. 2022;44:435–443. doi: 10.1007/s13258-021-01182-0. [DOI] [PubMed] [Google Scholar]
  • 45.Dal-Bekar N.E., Siomek-Gorecka A., Gackowski D., Köken-Avşar A., Yarkan-Tuğsal H., Birlik M., İşlekel H. Global Hypomethylation Pattern in Systemic Sclerosis: An Application for Absolute Quantification of Epigenetic DNA Modification Products by 2D-UPLC-MS/MS. Clin. Immunol. 2022;239:108997. doi: 10.1016/j.clim.2022.108997. [DOI] [PubMed] [Google Scholar]
  • 46.Zhou J., Li Z., Hu J., Wang C., Liu R., Lv Y. HOGG1-Assisted DNA Methylation Analysis via a Sensitive Lanthanide Labelling Strategy. Talanta. 2022;239:123136. doi: 10.1016/j.talanta.2021.123136. [DOI] [PubMed] [Google Scholar]
  • 47.Li K., Li Z., Wu J., Gong Y., Guo L., Xie J. In Vitro Evaluation of DNA Damage Effect Markers toward Five Nitrogen Mustards Based on Liquid Chromatography–Tandem Mass Spectrometry. Chem. Res. Toxicol. 2022;35:99–110. doi: 10.1021/acs.chemrestox.1c00346. [DOI] [PubMed] [Google Scholar]
  • 48.Zheng J., Wang H. Highly Efficient Gel Electrophoresis for Accurate Quantification of Nucleic Acid Modifications via In-Gel Digestion with UHPLC-MS/MS. Anal. Chem. 2023;95:13407–13411. doi: 10.1021/acs.analchem.3c02418. [DOI] [PubMed] [Google Scholar]
  • 49.Fresnais M., Jung I., Klein U.B., Miller A.K., Turcan S., Haefeli W.E., Burhenne J., Longuespée R. Important Requirements for Desorption/Ionization Mass Spectrometric Measurements of Temozolomide-Induced 2′-Deoxyguanosine Methylations in DNA. Cancers. 2023;15:716. doi: 10.3390/cancers15030716. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Hu Y., Hong X., Yuan Z., Mu J., Zhang X., Fang Z., Yuan Y., Zheng S., Guo C. Pan-Cancer Analysis of DNA Epigenetic Modifications by Hydrophilic Interaction Liquid Chromatography-Tandem Mass Spectrometry. Chin. Chem. Lett. 2023;34:108023. doi: 10.1016/j.cclet.2022.108023. [DOI] [Google Scholar]
  • 51.Xie R., Yang X., He W., Luo Z., Li W., Xu C., Cui X., Zhang W., Wei N., Wang X., et al. LAMP-MS for Locus-Specific Visual Quantification of DNA 5 mC and RNA m6A Using Ultra-Low Input. Angew. Chem. Int. Ed. 2025;64:e202413872. doi: 10.1002/anie.202413872. [DOI] [PubMed] [Google Scholar]
  • 52.Qu J., Kumar A., Liu Y.-M., Odubanjo O.V., Noubissi F.K., Hu Y., Hu H. Ultraperformance Liquid Chromatography Tandem Mass Spectrometry Assay of DNA Cytosine Methylation Excretion from Biological Systems. ACS Omega. 2025;10:13370–13376. doi: 10.1021/acsomega.4c11277. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Vandoolaeghe Q., Bouchart V., Guérin Y., Lagadu S., Lopez-Piffet C., Delépée R. Comparison of PGC and Biphenyl Stationary Phases for the High Throughput Analysis of DNA Epigenetic Modifications by UHPLC-MS/MS. J. Chromatogr. B. 2025;1250:124382. doi: 10.1016/j.jchromb.2024.124382. [DOI] [PubMed] [Google Scholar]
  • 54.Matsuda S., Furuya K., Ikura M., Matsuda T., Ikura T. Absolute Quantification of Acetylation and Phosphorylation of the Histone Variant H2AX upon Ionizing Radiation Reveals Distinct Cellular Responses in Two Cancer Cell Lines. Radiat. Environ. Biophys. 2015;54:403–411. doi: 10.1007/s00411-015-0608-3. [DOI] [PubMed] [Google Scholar]
  • 55.Kulej K., Avgousti D., Weitzman M., Garcia B. Characterization of Histone Post-Translational Modifications during Virus Infection Using Mass Spectrometry-Based Proteomics. Methods. 2015;90:8–20. doi: 10.1016/j.ymeth.2015.06.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Xu L., Chen J., Gao J., Yu H., Yang P. Crosstalk of Homocysteinylation, Methylation and Acetylation on Histone H3. Analyst. 2015;140:3057–3063. doi: 10.1039/C4AN02355B. [DOI] [PubMed] [Google Scholar]
  • 57.Yuan Z.-F., Lin S., Molden R.C., Cao X.-J., Bhanu N.V., Wang X., Sidoli S., Liu S., Garcia B.A. Epiprofile Quantifies Histone Peptides with Modifications by Extracting Retention Time and Intensity in High-Resolution Mass Spectra. Mol. Cell. Proteom. 2015;14:1696–1707. doi: 10.1074/mcp.M114.046011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Anderson K.W., Turko I.V. Histone Post-Translational Modifications in Frontal Cortex from Human Donors with Alzheimer’s Disease. Clin. Proteom. 2015;12:26. doi: 10.1186/s12014-015-9098-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Maile T.M., Izrael-Tomasevic A., Cheung T., Guler G.D., Tindell C., Masselot A., Liang J., Zhao F., Trojer P., Classon M., et al. Mass Spectrometric Quantification of Histone Post-Translational Modifications by a Hybrid Chemical Labeling Method. Mol. Cell. Proteom. 2015;14:1148–1158. doi: 10.1074/mcp.O114.046573. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Molden R.C., Bhanu N.V., LeRoy G., Arnaudo A.M., Garcia B.A. Multi-Faceted Quantitative Proteomics Analysis of Histone H2B Isoforms and Their Modifications. Epigenetics Chromatin. 2015;8:15. doi: 10.1186/s13072-015-0006-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Singh R., Harshman S.W., Ruppert A.S., Mortazavi A., Lucas D.M., Thomas-Ahner J.M., Clinton S.K., Byrd J.C., Freitas M.A., Parthun M.R. Proteomic Profiling Identifies Specific Histone Species Associated with Leukemic and Cancer Cells. Clin. Proteom. 2015;12:22. doi: 10.1186/s12014-015-9095-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Sowers J.L., Mirfattah B., Xu P., Tang H., Park I.Y., Walker C., Wu P., Laezza F., Sowers L.C., Zhang K. Quantification of Histone Modifications by Parallel-Reaction Monitoring: A Method Validation. Anal. Chem. 2015;87:10006–10014. doi: 10.1021/acs.analchem.5b02615. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Krautkramer K.A., Reiter L., Denu J.M., Dowell J.A. Quantification of SAHA-Dependent Changes in Histone Modifications Using Data-Independent Acquisition Mass Spectrometry. J. Proteome Res. 2015;14:3252–3262. doi: 10.1021/acs.jproteome.5b00245. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Sidoli S., Lin S., Xiong L., Bhanu N.V., Karch K.R., Johansen E., Hunter C., Mollah S., Garcia B.A. Sequential Window Acquisition of All Theoretical Mass Spectra (SWATH) Analysis for Characterization and Quantification of Histone Post-Translational Modifications. Mol. Cell Proteom. 2015;14:2420–2428. doi: 10.1074/mcp.O114.046102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Han Y., Lu C., Zhang K., Tian S., Fan E., Chen L., He X., Zhang Y. Quantitative Characterization of Histone Post-Translational Modifications Using a Stable Isotope Dimethyl-Labeling Strategy. Anal. Methods. 2015;7:3779–3785. doi: 10.1039/C5AY00120J. [DOI] [Google Scholar]
  • 66.Chen Y. Quantitative Analysis of the Sirt5-Regulated Lysine Succinylation Proteome in Mammalian Cells. Methods Mol. Biol. 2016;1410:23–37. doi: 10.1007/978-1-4939-3524-6_2. [DOI] [PubMed] [Google Scholar]
  • 67.Minshull T.C., Cole J., Dockrell D.H., Read R.C., Dickman M.J. Analysis of Histone Post Translational Modifications in Primary Monocyte Derived Macrophages Using Reverse Phase×reverse Phase Chromatography in Conjunction with Porous Graphitic Carbon Stationary Phase. J. Chromatogr. A. 2016;1453:43–53. doi: 10.1016/j.chroma.2016.05.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Sidoli S., Bhanu N.V., Karch K.R., Wang X., Garcia B.A. Complete Workflow for Analysis of Histone Post-Translational Modifications Using Bottom-up Mass Spectrometry: From Histone Extraction to Data Analysis. J. Vis. Exp. 2016;111:e54112. doi: 10.3791/54112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Xu Q., Xu F., Liu L., Chen Y. Compositional Analysis of Asymmetric and Symmetric Dimethylated H3R2 Using Liquid Chromatography-Tandem Mass Spectrometry-Based Targeted Proteomics. Anal. Chem. 2016;88:8441–8449. doi: 10.1021/acs.analchem.6b00076. [DOI] [PubMed] [Google Scholar]
  • 70.Wang T.-Y., Chai Y.-R., Jia Y.-L., Gao J.-H., Peng X.-J., Han H.-F. Crosstalk among the Proteome, Lysine Phosphorylation, and Acetylation in Romidepsin-Treated Colon Cancer Cells. Oncotarget. 2016;7:53471–53501. doi: 10.18632/oncotarget.10840. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Govaert E., Van Steendam K., Scheerlinck E., Vossaert L., Meert P., Stella M., Willems S., De Clerck L., Dhaenens M., Deforce D. Extracting Histones for the Specific Purpose of Label-Free MS. Proteomics. 2016;16:2937–2944. doi: 10.1002/pmic.201600341. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Vitko D., Majek P., Schirghuber E., Kubicek S., Bennett K. FASIL-MS: An Integrated Proteomic and Bioinformatic Workflow To Universally Quantitate In Vivo-Acetylated Positional Isomers. J. Proteome Res. 2016;15:2579–2594. doi: 10.1021/acs.jproteome.6b00130. [DOI] [PubMed] [Google Scholar]
  • 73.Gu H., Ren J., Jia X., Levy T., Rikova K., Yang V., Lee K., Stokes M., Silva J. Quantitative Profiling of Post-Translational Modifications by Immunoaffinity Enrichment and LC-MS/MS in Cancer Serum without Immunodepletion. Mol. Cell. Proteom. 2016;15:692–702. doi: 10.1074/mcp.O115.052266. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Noberini R., Uggetti A., Pruneri G., Minucci S., Bonaldi T. Pathology Tissue-Quantitative Mass Spectrometry Analysis to Profile Histone Post-Translational Modification Patterns in Patient Samples. Mol. Cell Proteom. 2016;15:866–877. doi: 10.1074/mcp.M115.054510. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Sidoli S., Fujiwara R., Garcia B.A. Multiplexed Data Independent Acquisition (MSX-DIA) Applied by High Resolution Mass Spectrometry Improves Quantification Quality for the Analysis of Histone Peptides. Proteomics. 2016;16:2095–2105. doi: 10.1002/pmic.201500527. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Reddy D., Khade B., Pandya R., Gupta S. A Novel Method for Isolation of Histones from Serum and Its Implications in Therapeutics and Prognosis of Solid Tumours. Clin. Epigenetics. 2017;9:30. doi: 10.1186/s13148-017-0330-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Sidoli S., Lu C., Coradin M., Wang X., Karch K.R., Ruminowicz C., Garcia B.A. Metabolic Labeling in Middle-down Proteomics Allows for Investigation of the Dynamics of the Histone Code. Epigenetics Chromatin. 2017;10:34. doi: 10.1186/s13072-017-0139-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Feist P.E., Sidoli S., Liu X., Schroll M.M., Rahmy S., Fujiwara R., Garcia B.A., Hummon A.B. Multicellular Tumor Spheroids Combined with Mass Spectrometric Histone Analysis To Evaluate Epigenetic Drugs. Anal. Chem. 2017;89:2773–2781. doi: 10.1021/acs.analchem.6b03602. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Méhul B., Perrin A., Grisendi K., Galindo A.N., Dayon L., Ménigot C., Rival Y., Voegel J.J. Mass Spectrometry and DigiWest Technology Emphasize Protein Acetylation Profile from Quisinostat-Treated HuT78 CTCL Cell Line. J. Proteom. 2018;187:126–143. doi: 10.1016/j.jprot.2018.07.003. [DOI] [PubMed] [Google Scholar]
  • 80.Guo Q., Sidoli S., Garcia B.A., Zhao X. Assessment of Quantification Precision of Histone Post-Translational Modifications by Using an Ion Trap and down to 50000 Cells as Starting Material. J. Proteome Res. 2018;17:234–242. doi: 10.1021/acs.jproteome.7b00544. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Yuan Z.-F., Sidoli S., Marchione D.M., Simithy J., Janssen K.A., Szurgot M.R., Garcia B.A. EpiProfile 2.0: A Computational Platform for Processing Epi-Proteomics Mass Spectrometry Data. J. Proteome Res. 2018;17:2533–2541. doi: 10.1021/acs.jproteome.8b00133. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Greer S.M., Sidoli S., Coradin M., Schack Jespersen M., Schwämmle V., Jensen O.N., Garcia B.A., Brodbelt J.S. Extensive Characterization of Heavily Modified Histone Tails by 193 Nm Ultraviolet Photodissociation Mass Spectrometry via a Middle-Down Strategy. Anal. Chem. 2018;90:10425–10433. doi: 10.1021/acs.analchem.8b02320. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Zhao P., Kavarthapu R., Anbazhagan R., Liao M., Dufau M.L. Interaction of Positive Coactivator 4 with Histone 3.3 Protein Is Essential for Transcriptional Activation of the Luteinizing Hormone Receptor Gene. Biochim. Biophys. Acta Gene Regul. Mech. 2018;1861:971–981. doi: 10.1016/j.bbagrm.2018.09.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.De Clerck L., Willems S., Noberini R., Restellini C., Van Puyvelde B., Daled S., Bonaldi T., Deforce D., Dhaenens M. hSWATH: Unlocking SWATH’s Full Potential for an Untargeted Histone Perspective. J. Proteome Res. 2019;18:3840–3849. doi: 10.1021/acs.jproteome.9b00214. [DOI] [PubMed] [Google Scholar]
  • 85.Sidoli S., Kori Y., Lopes M., Yuan Z.-F., Kim H.J., Kulej K., Janssen K.A., Agosto L.M., da Cunha J.P.C., Andrews A.J., et al. One Minute Analysis of 200 Histone Posttranslational Modifications by Direct Injection Mass Spectrometry. Genome Res. 2019;29:978–987. doi: 10.1101/gr.247353.118. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Janssen K., Coradin M., Lu C., Sidoli S., Garcia B. Quantitation of Single and Combinatorial Histone Modifications by Integrated Chromatography of Bottom-up Peptides and Middle-down Polypeptide Tails. J. Am. Soc. Mass Spectrom. 2019;30:2449–2459. doi: 10.1007/s13361-019-02303-6. [DOI] [PubMed] [Google Scholar]
  • 87.Bhanu N.V., Sidoli S., Garcia B.A. A Workflow for Ultra-Rapid Analysis of Histone Post-Translational Modifications with Direct-Injection Mass Spectrometry. Bio Protoc. 2020;10:e3756. doi: 10.21769/BioProtoc.3756. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Hamza G.M., Bergo V.B., Mamaev S., Wojchowski D.M., Toran P., Worsfold C.R., Castaldi M.P., Silva J.C. Affinity-bead Assisted Mass Spectrometry (Affi-BAMS): A Multiplexed Microarray Platform for Targeted Proteomics. Int. J. Mol. Sci. 2020;21:2016. doi: 10.3390/ijms21062016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Verhelst S., De Clerck L., Willems S., Van Puyvelde B., Daled S., Deforce D., Dhaenens M. Comprehensive Histone Epigenetics: A Mass Spectrometry Based Screening Assay to Measure Epigenetic Toxicity. MethodsX. 2020;7:101055. doi: 10.1016/j.mex.2020.101055. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Bux E.M., Solis-Mezarino V., Kuhm C., Northoff B.H., Karin I., Klopstock T., Holdt L.M., Völker-Albert M., Imhof A., Peleg S. Determining Histone H4 Acetylation Patterns in Human Peripheral Blood Mononuclear Cells Using Mass Spectrometry. Clin. Mass Spectrom. 2020;15:54–60. doi: 10.1016/j.clinms.2019.08.001. [DOI] [Google Scholar]
  • 91.Hu Y., Zhang L., Chen J., Yao J., Jin H., Yang P. Outer Membrane Protease OmpT-Based Strategy for Simplified Analysis of Histone Post-Translational Modifications by Mass Spectrometry. Anal. Chem. 2020;92:732–739. doi: 10.1021/acs.analchem.9b02766. [DOI] [PubMed] [Google Scholar]
  • 92.Zhang T., Zhang W., Liu L., Chen Y. Simultaneous Detection of Site-Specific Histone Methylations and Acetylation Assisted by Single Template Oriented Molecularly Imprinted Polymers. Analyst. 2020;145:1376–1383. doi: 10.1039/C9AN02360G. [DOI] [PubMed] [Google Scholar]
  • 93.Abshiru N.A., Sikora J.W., Camarillo J.M., Morris J.A., Compton P.D., Lee T., Neelamraju Y., Haddox S., Sheridan C., Carroll M., et al. Targeted Detection and Quantitation of Histone Modifications from 1,000 Cells. PLoS ONE. 2020;15:e0240829. doi: 10.1371/journal.pone.0240829. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Zappacosta F., Wagner C., Della Pietra A., Gerhart S., Keenan K., Korenchuck S., Quinn C., Barbash O., McCabe M., Annan R. A Chemical Acetylation-Based Mass Spectrometry Platform for Histone Methylation Profiling. Mol. Cell. Proteom. 2021;20:100067. doi: 10.1016/j.mcpro.2021.100067. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Noberini R., Savoia E.O., Brandini S., Greco F., Marra F., Bertalot G., Pruneri G., McDonnell L.A., Bonaldi T. Spatial Epi-Proteomics Enabled by Histone Post-Translational Modification Analysis from Low-Abundance Clinical Samples. Clin. Epigenetics. 2021;13:145. doi: 10.1186/s13148-021-01120-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Kuchaříková H., Dobrovolná P., Lochmanová G., Zdráhal Z. Trimethylacetic Anhydride-Based Derivatization Facilitates Quantification of Histone Marks at the MS1 Level. Mol. Cell Proteom. 2021;20:100114. doi: 10.1016/j.mcpro.2021.100114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Joseph-Chowdhury J.-S.N., Stransky S., Graff S., Cutler R., Young D., Kim J.S., Madrid-Aliste C., Aguilan J.T., Nieves E., Sun Y., et al. Global Level Quantification of Histone Post-Translational Modifications in a 3D Cell Culture Model of Hepatic Tissue. J. Vis. Exp. 2022;2022:e63606. doi: 10.3791/63606. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Sowers M.L., Tang H., Singh V.K., Khan A., Mishra A., Restrepo B.I., Jagannath C., Zhang K. Multi-OMICs Analysis Reveals Metabolic and Epigenetic Changes Associated with Macrophage Polarization. J. Biol. Chem. 2022;298:102418. doi: 10.1016/j.jbc.2022.102418. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Wu J., Li N., Huang X., Chen J., Jia Y., He Z., Mo T., He L., Wang Y., Zhang H. Proteomic Quantification of Lysine Acetylation and Succinylation Profile Alterations in Lung Adenocarcinomas of Non-Smoking Females. Yonago Acta Medica. 2022;65:132–147. doi: 10.33160/yam.2022.05.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Hamza G.M., Miele E., Wojchowski D.M., Toran P., Worsfold C.R., Anthonymuthu T.S., Bergo V.B., Zhang A.X., Silva J.C. Affi-BAMSTM: A Robust Targeted Proteomics Microarray Platform to Measure Histone Post-Translational Modifications. Int. J. Mol. Sci. 2023;24:10060. doi: 10.3390/ijms241210060. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Searfoss R.M., Karki R., Lin Z., Robison F., Garcia B.A. An Optimized and High-Throughput Method for Histone Propionylation and Data-Independent Acquisition Analysis for the Identification and Quantification of Histone Post-Translational Modifications. J. Am. Soc. Mass Spectrom. 2023;34:2508–2517. doi: 10.1021/jasms.3c00223. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Macur K., Schissel A., Yu F., Lei S., Morsey B., Fox H.S., Ciborowski P. Change of Histone H3 Lysine 14 Acetylation Stoichiometry in Human Monocyte Derived Macrophages as Determined by MS-Based Absolute Targeted Quantitative Proteomic Approach: HIV Infection and Methamphetamine Exposure. Clin. Proteom. 2023;20:48. doi: 10.1186/s12014-023-09438-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Van den Ackerveken P., Lobbens A., Pamart D., Kotronoulas A., Rommelaere G., Eccleston M., Herzog M. Epigenetic Profiles of Elevated Cell Free Circulating H3.1 Nucleosomes as Potential Biomarkers for Non-Hodgkin Lymphoma. Sci. Rep. 2023;13:16335. doi: 10.1038/s41598-023-43520-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Liu C., Xu M., Li W., Cao X., Wang Y., Chen H., Zhang T., Lu M., Xie H., Chen Y. Quantitative Pattern of hPTMs by Mass Spectrometry-Based Proteomics with Implications for Triple-Negative Breast Cancer. J. Proteome Res. 2024;23:1495–1505. doi: 10.1021/acs.jproteome.4c00034. [DOI] [PubMed] [Google Scholar]
  • 105.Vai A., Noberini R., Ghirardi C., de Paula D., Carminati M., Pallavi R., Araújo N., Varga-Weisz P., Bonaldi T. Improved Mass Spectrometry-Based Methods Reveal Abundant Propionylation and Tissue-Specific Histone Propionylation Profiles. Mol. Cell. Proteom. 2024;23:100799. doi: 10.1016/j.mcpro.2024.100799. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106.Lopes M., Lund P.J., Garcia B.A. Optimized and Robust Workflow for Quantifying the Canonical Histone Ubiquitination Marks H2AK119ub and H2BK120ub by LC-MS/MS. J. Proteome Res. 2024;23:5405–5420. doi: 10.1021/acs.jproteome.4c00519. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Ryzhaya P., Pírek P., Zdráhal Z., Lochmanová G. Arg-C Ultra Simplifies Histone Preparation for LC-MS/MS. Anal. Chem. 2025;97:12486–12492. doi: 10.1021/acs.analchem.5c02238. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108.Zahn E., Xie Y., Liu X., Karki R., Searfoss R.M., de Luna Vitorino F.N., Lempiäinen J.K., Gongora J., Lin Z., Zhao C., et al. Development of a High-Throughput Platform for Quantitation of Histone Modifications on a New QTOF Instrument. Mol. Cell Proteom. 2025;24:100897. doi: 10.1016/j.mcpro.2024.100897. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Searfoss R.M., Zahn E., Lin Z., Garcia B.A. Establishing a Top-Down Proteomics Platform on a Time-of-Flight Instrument with Electron-Activated Dissociation. J. Proteome Res. 2025;24:1230–1240. doi: 10.1021/acs.jproteome.4c00874. [DOI] [PubMed] [Google Scholar]
  • 110.Chao M.-R., Yen C.-C., Hu C.-W. Prevention of Artifactual Oxidation in Determination of Cellular 8-Oxo-7,8-Dihydro-2′-Deoxyguanosine by Isotope-Dilution LC–MS/MS with Automated Solid-Phase Extraction. Free Radic. Biol. Med. 2008;44:464–473. doi: 10.1016/j.freeradbiomed.2007.10.003. [DOI] [PubMed] [Google Scholar]
  • 111.Costello M., Pugh T.J., Fennell T.J., Stewart C., Lichtenstein L., Meldrim J.C., Fostel J.L., Friedrich D.C., Perrin D., Dionne D., et al. Discovery and Characterization of Artifactual Mutations in Deep Coverage Targeted Capture Sequencing Data Due to Oxidative DNA Damage during Sample Preparation. Nucleic Acids Res. 2013;41:e67. doi: 10.1093/nar/gks1443. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Sathyanarayana S.H., Spracklin S.B., Deharvengt S.J., Green D.C., Instasi M.D., Gallagher T.L., Shah P.S., Tsongalis G.J. Standardized Workflow and Analytical Validation of Cell-Free DNA Extraction for Liquid Biopsy Using a Magnetic Bead-Based Cartridge System. Cells. 2025;14:1062. doi: 10.3390/cells14141062. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113.Crutchfield C.A., Thomas S.N., Sokoll L.J., Chan D.W. Advances in Mass Spectrometry-Based Clinical Biomarker Discovery. Clin. Proteom. 2016;13:1. doi: 10.1186/s12014-015-9102-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Fung A.W.S., Sugumar V., Ren A.H., Kulasingam V. Emerging Role of Clinical Mass Spectrometry in Pathology. J. Clin. Pathol. 2020;73:61–69. doi: 10.1136/jclinpath-2019-206269. [DOI] [PubMed] [Google Scholar]
  • 115.Robusti G., Vai A., Bonaldi T., Noberini R. Investigating Pathological Epigenetic Aberrations by Epi-Proteomics. Clin. Epigenetics. 2022;14:145. doi: 10.1186/s13148-022-01371-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Noberini R., Robusti G., Bonaldi T. Mass Spectrometry-based Characterization of Histones in Clinical Samples: Applications, Progress, and Challenges. FEBS J. 2022;289:1191–1213. doi: 10.1111/febs.15707. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117.Stunnenberg H.G., Vermeulen M. Towards Cracking the Epigenetic Code Using a Combination of High-throughput Epigenomics and Quantitative Mass Spectrometry-based Proteomics. BioEssays. 2011;33:547–551. doi: 10.1002/bies.201100044. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.


Articles from International Journal of Molecular Sciences are provided here courtesy of Multidisciplinary Digital Publishing Institute (MDPI)

RESOURCES