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Kelleher, N. L.

Publications and source records attributed to Kelleher, N. L..

At least 19 recordsLinked to original sources

Deep Proteoform Sequencing with Top-Down Direct Mass Technology

Individual Ion Mass Spectrometry (I2MS) using Direct Mass Technology mode on an Orbitrap mass spectrometer (DMTm) increases sensitivity, resolution, and mass range for protein analysis. Here, we present an end-to-end workflow for deep proteoform sequencing using top-down mass spectrometry with DMTm. By assigning the charge of individual fragment ions and converting spectra from the m/z to the mass domain, DMTm resolves overlapping isotopic distributions that have limited conventional top-down mass spectrometry. Across different fragmentation modes on Orbitrap mass spectrometers, top-down DMTm significantly outperformed conventional top-down mass spectrometry methods. For a glycosylated 50.8 kDa antibody heavy chain, sequence coverage was greatly increased, from 27.5% to 83.3%, in 10 minutes of acquisition using a single fragmentation mode. Coverage of the middle 350 residues improved from 0% to >95%, demonstrating near-complete coverage of the difficult-to-characterize internal region of a large protein. The fragmentation patterns of DMTm were found to be complementary to conventional top-down, with higher internal coverage for DMTm and higher terminal coverage for conventional. Accordingly, aggregation of the data from the two modes further increased heavy chain sequence coverage to 90.2%. A new software platform, Proteoform Studio, provided optimized ion processing for improved sequence coverage and enabled real-time experimental monitoring as individual ions were accumulated. The platform automatically integrates conventional and DMTm data to provide the most comprehensive sequence coverage possible. Together, these advances enable substantially deeper proteoform sequencing and establish a straightforward, complete top-down DMTm workflow to confidently define proteoforms in biological systems and biotherapeutic development.

bioinformatics↗

Targeted Analysis of >1500 Plasma Proteoforms via Individual Ion Mass Spectrometry

Plasma proteomics has long sought to accessibly sense human biology, precisely detect disease states, and advance diagnostics through clinical translation. In recent years, companies with defined panels such as Olink and Somascan have entered the field to complement bottom-up mass spectrometry (BUP). This study leverages a novel mass spectrometry platform to capture targeted proteoform information lost by mainline antibody-, aptamer-, and BUP-driven workflows. The Plasma Proteoform Assay (PPA) uses Individual Ion Mass Spectrometry (I{superscript 2}MS) to resolve mixtures of intact proteins presented by direct injection. Two proteoform panels, PPA 526 and PPA 1514, were defined from human plasma samples obtained from 81 individuals. The panels quantify 526 proteoforms derived from 59 genes and 1,514 proteoforms from 155 genes, respectively. Reproducibility for both panels showed coefficients of variation below 20% for most proteoforms (59-80%). PPA was benchmarked in studies including subjects with hepatic cirrhosis (N=30) and resilient agers carrying a SERPINE1 (PAI 1) mutation (N=27). PPA signatures distinguished SERPINE1 mutation carriers from affected individuals and provided sufficient resolution to discriminate among cirrhosis disease stages. In summary, we present PPA 526 and PPA 1514, the first scalable plasma proteoform panels capable of tracking hundreds to thousands of targets in a few minutes per sample.

biochemistry↗

Top-Down Individual Ion Mass Spectrometry Reveals 85-110 kDa Catenin Phospho-Proteoforms Regulated by Actomyosin Contractility

A central challenge in top-down proteomics is the characterization of large proteoforms (>70 kDa) due to their high spectral complexity in mass spectrometers. Here, we advance individual ion mass spectrometry (I2MS) for intact mass and fragmentation analysis of {beta}- and -catenins (85-110 kDa), key components of adherens junctions. Using denatured I2MS, we resolved discrete phosphorylation states of catenins isolated from HEK cells subjected to differential actomyosin tension. Up to 10 phosphorylations were detected on {beta}-catenin and 7 on -catenin, with site-specific changes corresponding to actomyosin contractility. Notably, phosphorylation at -catenin S641 was constitutive, while other sites in the P-linker and actin-binding domains as well as {beta}-catenin S675 and S552 were sensitive to actomyosin perturbation. Application of I2MS for fragment ion detection (I2MS2) also enabled 25-30% sequence coverage for these exceptionally large proteoforms, compared to <1% using conventional methods for top-down mass spectrometry. Our results support a "catenin phospho-code" model, wherein combinatorial phosphorylation patterns encode mechano-transductive signals regulating cell-cell adhesion. This work establishes top-down I2MS as a viable approach for probing complex post-translational modification landscapes in high-mass proteins and highlights proteoforms as functional units in cellular regulation.

biochemistry↗

Specific Combinations of Physiological Tau Phosphorylation Regulate Tau-Microtubule Interactions in Developing Neurons

Tau phosphorylation is a defining feature of Alzheimers disease, yet it also plays an important physiological role in regulating functional interactions with microtubules (MTs), particularly during normal neuronal development. While individual tau phosphorylation sites have been well-studied, how combinatorial phosphorylation impacts taus behavior in both contexts is poorly understood. We hypothesized that contrasting developmental and pathological models of tau phosphorylation would yield insights into mechanisms of impaired neuronal resilience in tauopathies. We use transgenic PS19 tau mice to demonstrate that increases in individual tau phospho-epitopes with aging do not correlate with their enrichment in tau aggregates in these mice. Using seeded aggregation of tau in neurons, we observe that tau aggregate formation does not necessarily result in MT destabilization; instead, aggregation diminishes taus ability to counteract destabilization when MTs are externally perturbed. We identify that combinations of tau phospho-signatures are responsive to MT destabilization, and phosphorylation at residues S235 and S262 as particularly critical for regulation of interactions with MTs. Phosphorylation of these residues was associated both with significantly reduced binding to MTs, as well as impaired phosphatase response in aggregates. As a whole, this work provides mechanistic insight into phospho-regulation of tau function and prompts reconsideration of the canonical view that tau phosphorylation precedes MT destabilization in disease. Rather, we provide compelling evidence that phosphorylation of tau may be a response to changes in MT stability and that cell death may result from aggregated taus inability to function in this manner. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=162 SRC="FIGDIR/small/669485v2_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@dd84e5org.highwire.dtl.DTLVardef@14001eaorg.highwire.dtl.DTLVardef@13db7a0org.highwire.dtl.DTLVardef@e26d16_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGRAPHICAL ABSTRACTC_FLOATNO Schematic model of our findings: Tau phosphorylation is dynamically regulated in specific combinatorial patterns in response to shifting MT growth cycles. C_FIG

neuroscience↗

Replication stress alters CENP-A nucleosome stability during S phase

1.The maintenance of centromere identity is essential for the proper segregation of chromosomes during cell division. Centromere identity is epigenetically specified by centromeric histone H3 variant CENP-A, and its retention during DNA replication is facilitated by HJURP chaperone. Replication stress disrupts replication fork progression and can negatively influence the interactions between histone chaperone network necessary for retention and deposition of parental and new histones, respectively. In this study we investigate the role of replication stress response on centromere inheritance. We define changes in centromere-associated proteins that govern stability of centromeric and canonical nucleosomes through proximity labeling coupled with affinity purification mass spectrometry. We identified that under replication stress, CENP-A-containing chromatin strongly enriches for SWI/SNF chromatin remodeling proteins ATRX. We show that depletion of ATRX and its associated histone H3.3 chaperone DAXX results in the loss CENP-A retention in S-phase and loss persists into the subsequent cell cycle. Altogether our findings provide insight into how replication stress negatively influences centromeric chromatin instability and delineates a function of DAXX-ATRX complex in maintaining centromere inheritance during DNA replication.

biochemistry↗

Direct Readout of Multivalent Chromatin Reader-Nucleosome Interactions by Nucleosome Mass Spectrometry

Histone post-translational modifications (PTMs) often serve as distinct recognition sites for the recruitment of chromatin-associated proteins (CAPs) for epigenome regulation. While CAP-PTM interactions have been extensively studied using histone peptides, this cannot consider the regulatory potential of multi-site binding on intact nucleosomes. To overcome this limitation, we applied Nucleosome Mass Spectrometry (Nuc-MS), a native Top-Down MS approach that enables controlled disassembly of intact CAP:nucleosome (CAP:nuc) complexes to provide a direct readout of the contained histone proteoforms. As proof of principle, we show the BPTF PHD-BD native tandem reader requires coincident H3K4me3K9acK14acK18ac for effective nucleosome engagement. We extend our approach to explore how the BRD4 (native BD1-BD2), DNMT3A-MPP8 (chimeric PWWP-CD), and PtSHL (native BAH-BD) tandem readers interact with endogenous nucleosomes. Each reveals distinct enrichment profiles: BRD4 favoring di- and tri-acetylated histone H4 proteoforms, whereas DNMT3A-MPP8 and PtSHL preferentially interact with hypermethylated H3 proteoforms. Of note the latter enriches combinatorial {H3K4me3K27me3} on the same histone tail in HeLa chromatin, and thus expands the potential biology of this widely studied bivalent signature. By directly characterizing CAP:nuc complex composition with combinatorial PTM information in a single readout, Nuc-MS serves as a new approach to discover the modifications driving binding, and therefore primary candidates to explore for structural biology and genomic studies. O_FIG O_LINKSMALLFIG WIDTH=199 HEIGHT=200 SRC="FIGDIR/small/651740v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@8815e9org.highwire.dtl.DTLVardef@5685b5org.highwire.dtl.DTLVardef@643881org.highwire.dtl.DTLVardef@1b9bc20_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFor TOC only.C_FLOATNO Synopsis. Nuc-MS provides the ability to control the disassembly of chromatin-associated protein-nucleosome complexes (CAP-nuc) and delineate the histone proteoforms driving tandem reader domain binding. C_FIG

biochemistry↗

Targeting Monoallelic CREBBP/EP300 Mutations in Germinal Center-Derived B-Cell Lymphoma with a First-in-Class Histone Acetyltransferase Activator

Germinal center B-cell lymphomas frequently exhibit monoallelic loss-of-function mutations in the histone acetyltransferases CREBBP and p300, which contribute to lymphoma development, disrupt normal germinal center biology, and promote immune evasion. This study evaluates YF2, a histone acetyltransferase activator that increases CREBBP/p300 activity, as a potential therapeutic approach for B-cell lymphoma. YF2 binds the bromodomain of CREBBP/p300, increasing their auto-acetylation and enzymatic activity. It also induces cytotoxicity in B-cell lymphoma cell lines, with a stronger response in those carrying CREBBP/EP300 mutations. Additionally, YF2 increases the acetylation of key CREBBP/p300 substrates, including H3K27, p53, and BCL6, leading to enhanced apoptosis and altered B-cell diTerentiation. YF2 is well tolerated in vivo and extends survival in both cell line- and patient-derived xenograft mouse models. Moreover, YF2 exposure upregulates antigen-presentation markers and reshapes the immune microenvironment, strengthening responses to immune checkpoint blockade. Taken together, these findings support pharmacologic activation of CREBBP/p300 with YF2 as a compelling therapeutic strategy for B-cell lymphoma. SignificanceYF2 stimulates CREBBP/p300 activity to normalize B-cell diTerentiation and enhance immune recognition, oTering a potential approach to limit lymphoma progression and strengthen immunotherapy responses.

cancer biology↗

Next-Generation Protein Sequencing and individual ion mass spectrometry enable complementary analysis of interleukin-6

The vast complexity of the proteome currently overwhelms any single analytical technology in capturing the full spectrum of proteoform diversity. In this study, we evaluated the complementarity of two cutting-edge proteomic technologies--single-molecule protein sequencing and individual ion mass spectrometry--for analyzing recombinant human IL-6 (rhIL-6) at the amino acid, peptide, and intact proteoform levels. For single-molecule protein sequencing, we employ the recently released Platinum(R) instrument. Next-Generation Protein Sequencing (NGPS) on Platinum utilizes cycles of N-terminal amino acid recognizer binding and aminopeptidase cleavage to enable parallelized sequencing of single peptide molecules. We found that NGPS produces single amino acid coverage of multiple key regions of IL-6, including two peptides within helices A and C which harbor residues that reportedly impact IL-6 function. For top-down proteoform evaluation, we use individual ion mass spectrometry (I2MS), a highly parallelized orbitrap-based charge detection MS platform. Single ion detection of gas-phase fragmentation products (I2MS2) gives significant sequence coverage in key regions in IL-6, including two regions within helices B and D that are involved in IL-6 signaling. Together, these complementary technologies deliver a combined 52% sequence coverage, offering a more complete view of IL-6 structural and functional diversity than either technology alone. This study highlights the synergy of complementary protein detection methods to more comprehensively cover protein segments relevant to biological interactions. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=114 SRC="FIGDIR/small/637157v1_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@82d72aorg.highwire.dtl.DTLVardef@1fc39f3org.highwire.dtl.DTLVardef@40a677org.highwire.dtl.DTLVardef@70f6c3_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

Deep Profiling of Plasma Proteoforms with Engineered Nanoparticles for Top-down Proteomics

The dynamic range challenge for detection of proteins and their proteoforms in human plasma has been well documented. Here, we use the nanoparticle protein corona approach to enrich low-abundant proteins selectively and reproducibly from human plasma and use top-down proteomics to quantify differential enrichment for the 2841 detected proteoforms from 114 proteins. Furthermore, nanoparticle enrichment allowed top-down detection of proteoforms between [~]1 {micro}g/mL and [~]10 pg/mL in absolute abundance, providing up to 105-fold increase in proteome depth over neat plasma in which only proteoforms from abundant proteins (>1 {micro}g/mL) were detected. The ability to monitor medium and some low abundant proteoforms through reproducible enrichment significantly extends the applicability of proteoform research by adding depth beyond albumin, immunoglobins and apolipoproteins to uncover many involved in immunity and cell signaling. As proteoforms carry unique information content relative to peptides, this report opens the door to deeper proteoform sequencing in clinical proteomics of disease or aging cohorts.

biochemistry↗

Top-Down Proteomics Identifies Plasma Proteoform Signatures of Liver Cirrhosis Progression

Cirrhosis, advanced liver disease, affects 2-5 million Americans. While most patients have compensated cirrhosis and may be fairly asymptomatic, many decompensate and experience life-threatening complications such as gastrointestinal bleeding, confusion (hepatic encephalopathy), and ascites, reducing life expectancy from 12 to less than 2 years. Among patients with compensated cirrhosis, identifying patients at high risk of decompensation is critical to optimize care and reduce morbidity and mortality. Therefore, it is important to preferentially direct them towards specialty care which cannot be provided to all patients with cirrhosis. We used discovery Top-down Proteomics (TDP) to identify differentially expressed proteoforms (DEPs) in the plasma of patients with progressive stages of liver cirrhosis with the ultimate goal to identify candidate biomarkers of disease progression. In this pilot study, we identified 209 DEPs across three stages of cirrhosis (compensated, compensated with portal hypertension, and decompensated), of which 115 derived from proteins enriched in the liver at a transcriptional level and discriminated the three stages of cirrhosis. Enrichment analyses demonstrated DEPs are involved in several metabolic and immunological processes known to be impacted by cirrhosis progression. We have preliminarily defined the plasma proteoform signatures of cirrhosis patients, setting the stage for ongoing discovery and validation of biomarkers for early diagnosis, risk stratification, and disease monitoring. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=156 SRC="FIGDIR/small/599662v1_ufig1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@797e27org.highwire.dtl.DTLVardef@495bb7org.highwire.dtl.DTLVardef@2478a9org.highwire.dtl.DTLVardef@6dbc0a_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIPerformed a pilot top-down LC-MS/MS analysis to identify proteoforms (PFRs) in the plasma of patients with 3 progressive stages of liver cirrhosis. C_LIO_LIIdentified 2867 proteoforms (PFRs) and 209 differentially regulated proteoforms (DRPs) in the different stages of the disease. C_LIO_LIIdentified DRP profiles able to potentially distinguish early from late stages of the disease, including 115 liver-derived DRPs. C_LIO_LIFibrinogen alpha chain, haptoglobin, and Apo A-I are the proteins with the highest number of DRPs and represent potential candidate biomarkers of liver cirrhosis progression. C_LI

molecular biology↗

Short-chain fatty acids propionate and butyrate control growth and differentiation linked to cellular metabolism

The short-chain fatty acids (SCFA) propionate and butyrate have beneficial health effects, are produced in large amounts by microbial metabolism and have been identified as unique acyl lysine histone marks. In order to better understand the function of these modifications we used ChIP-seq to map the genome-wide location of four short-chain acyl histone marks H3K18pr, H3K18bu, H4K12pr and H4K12bu in treated and untreated colorectal cancer (CRC) and normal cells, as well as in mouse intestines in vivo. We correlate these marks with open chromatin regions along with gene expression to access the function of the target regions. Our data demonstrate that propionate and butyrate bind and act as promoters of genes involved in growth, differentiation as well as ion transport. We propose a mechanism involving direct modification of specific genomic regions, by SCFA resulting in increased chromatin accessibility, and in case of butyrate, opposing effects on the proliferation of normal versus CRC cells.

genetics↗

Terpenoid balance in Aspergillus nidulans unveiled by heterologous squalene synthase expression

Filamentous fungi produce numerous uncharacterized natural products (NPs) that are often challenging to characterize due to cryptic expression in laboratory conditions. Previously, we have successfully isolated novel NPs by expressing fungal artificial chromosomes (FACs) from a variety of fungal species into Aspergillus nidulans. Here, we demonstrate a new twist to FAC utility wherein heterologous expression of a Pseudogymnoascus destructans FAC in A. nidulans altered endogenous terpene biosynthetic pathways. In contrast to wildtype, the FAC transformant produced increased levels of squalene and aspernidine type compounds, including three new nidulenes (1-2, 5), and lost nearly all ability to synthesize the major A. nidulans characteristic terpene, austinol. Deletion of a squalene synthase gene in the FAC restored wildtype chemical profiles. The altered squalene to farnesyl pyrophosphate ratio leading to synthesis of nidulenes and aspernidines at the expense of farnesyl pyrophosphate derived austinols provides unexpected insight into routes of terpene synthesis in fungi. TeaserReshaping terpenes: Heterologous FAC expression reroutes terpene pathways.

microbiology↗

MSModDetector: A Tool for Detecting Mass Shifts and Post-Translational Modifications in Individual Ion Mass Spectrometry Data

MotivationPost-translational modifications (PTMs) on proteins regulate protein structures and functions. A single protein molecule can possess multiple modification sites that can accommodate various PTM types, leading to a variety of different patterns, or combinations of PTMs, on that protein. Different PTM patterns can give rise to distinct biological functions. To facilitate the study of multiple PTMs, top-down mass spectrometry (MS) has proven to be a useful tool to measure the mass of intact proteins, thereby enabling even widely separated PTMs to be assigned to the same protein molecule and allowing determination of how many PTMs are attached to a single protein. ResultsWe developed a Python module called MSModDetector that studies PTM patterns from individual ion mass spectrometry (I MS) data. I MS is an intact protein mass spectrometry approach that generates true mass spectra without the need to infer charge states. The algorithm first detects and quantifies mass shifts for a protein of interest and subsequently infers potential PTM patterns using linear programming. The algorithm is evaluated on simulated I MS data and experimental I MS data for the tumor suppressor protein p53. We show that MSModDetector is a useful tool for comparing a proteins PTM pattern landscape across different conditions. An improved analysis of PTM patterns will enable a deeper understanding of PTM-regulated cellular processes. AvailabilityThe source code is available at https://github.com/marjanfaizi/MSModDetector together with the scripts used for analyses and to generate the figures presented in this study.

bioinformatics↗

Top-down Proteomics of 10,000 Single Brain Cells

We introduce single-cell Proteoform imaging Mass Spectrometry (scPiMS), which realizes the benefit of direct analysis of intact proteins to process 10,836 single cells from the rat hippocampus. This new platform addresses the throughput bottleneck for single cell proteomics using mass spectrometry, boosting cell processing rates by >20-fold in the field. We identified 169 proteoforms <70 kDa from single brain cells and classified 2758 of them as neurons, astrocytes or microglia cell types.

biochemistry↗

Direct Imaging and Identification of Proteoforms up to 70 kDa from Human Tissue

Imaging of proteoforms in human tissues is hindered by low molecular specificity and limited proteome coverage. Here, we introduce proteoform imaging mass spectrometry (PiMS), which increases the size limit for proteoform detection and identification by 4-fold compared to reported methods, and reveals tissue localization of proteoforms at <80 m spatial resolution. PiMS advances proteoform imaging by combining ambient nanospray desorption electrospray ionization (nano-DESI) with ion detection using individual ion mass spectrometry (I2MS). We demonstrate the first proteoform imaging of human kidney, identifying 169 of 400 proteoforms <70 kDa using top-down mass spectrometry and database lookup from the human proteoform atlas, including dozens of key enzymes in primary metabolism. PiMS images reveal distinct spatial localizations of proteoforms to both anatomical structures and cellular neighborhoods in the vasculature, medulla, and cortex regions of the human kidney. The benefits of PiMS are poised to increase proteome coverage for label-free protein imaging of tissues. TeaserNano-DESI combined with individual ion mass spectrometry generates images of proteoforms up to 70 kDa.

biochemistry↗

Elevated N-glycosylation of immunoglobulin G variable regions in myasthenia gravis highlights a commonality across autoantibody-associated diseases

Elevated N-linked glycosylation of immunoglobulin G variable regions (IgG-VN-Glyc) is an emerging molecular phenotype associated with autoimmune disorders. To test the broader specificity of elevated IgG-VN-Glyc, we studied patients with distinct subtypes of myasthenia gravis (MG), a B cell-mediated autoimmune disease. Our experimental design included adaptive immune receptor repertoire sequencing to quantify and characterize N-glycosylation sites in the global B cell receptor repertoire, proteomics to examine glycosylation patterns of the circulating IgG, and production of human-derived recombinant autoantibodies, which were studied with mass spectrometry and antigen binding assays to confirm occupation of glycosylation sites and determine whether they alter binding. We found that the frequency of IgG-VN-Glyc motifs was increased in the B cell repertoire of MG patients when compared to healthy donors. Motifs were introduced by both biased V gene segment usage and somatic hypermutation. IgG-VN-Glyc could be observed in the circulating IgG in a subset of MG patients. Autoantigen binding, by patient-derived MG autoantigen-specific monoclonal antibodies with experimentally confirmed presence of IgG-VN-Glyc, was not altered by the glycosylation. Our findings extend prior work on patterns of variable region N-linked glycosylation in autoimmunity to MG subtypes. Although occupied IgG-VN-Glyc motifs are found on MG autoantigen-specific monoclonal antibodies, they are not required for binding to the autoantigen in this disease.

immunology↗

Can we put Humpty Dumpty back together again? What does protein quantification mean in bottom-up proteomics?

Bottom-up proteomics provides peptide measurements and has been invaluable for moving proteomics into large-scale analyses. In bottom-up proteomics, protein parsimony and protein inference derived from these measured peptides are important for determining which protein coding genes are present. However, given the complexity of RNA splicing processes, and how proteins can be modified post-translationally, it is overly simplistic to assume that all peptides that map to a singular protein coding gene will demonstrate the same quantitative response. Accordingly, by assuming all peptides from a protein coding sequence are representative of the same protein we may be missing out on detecting important biological differences. To better account for the complexity of the proteome we need to think of new or better ways of handling peptide data.

biochemistry↗

Separation and Characterization of Endogenous Nucleosomes by Native Capillary Zone Electrophoresis - Top-Down Mass Spectrometry (nCZE-TDMS)

We report a novel platform (native capillary zone electrophoresis - top-down mass spectrometry; nCZE-TDMS) for the separation and characterization of whole nucleosomes, their histone subunits, and PTMs. As the repeating unit of chromatin, mononucleosomes (Nucs) are a ~200 kDa complex of DNA and histone proteins involved in the regulation of key cellular processes central to human health and disease. Unraveling the covalent modification landscape of histones and their defined stoichiometries within Nucs helps to explain epigenetic regulatory mechanisms. In nCZE-TDMS, online Nuc separation is followed by a three-tier tandem MS approach that measures the intact mass of Nucs, ejects and detects the constituent histones, and fragments to sequence the histone. The new platform was optimized with synthetic Nucs to reduce both sample requirements and cost significantly compared to direct infusion. Limits of detection were in the low attomole range, with linearity over ~three orders of magnitude. The nCZE-TDMS platform was applied to endogenous Nucs from two cell lines distinguished by overexpression or knockout of histone methyltransferase NSD2/MMSET, where analysis of constituent histones revealed changes in histone abundances over the course of the CZE separation. We are confident the nCZE-TDMS platform will help advance nucleosome-level research in the fields of chromatin and epigenetics.

biochemistry↗