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Proteomic Characterization of the Rhesus Macaque Lens Nucleus: Similarity to Human Lens, Age Effects on Protein Solubility, and Trends in Post-Translational Modifications.

PURPOSE: Proteomes of lens nuclei from young (4 years old) and old (15-16 years old) rhesus macaques (Macaca mulatta) were analyzed to determine similarity of the proteomic profile to that of human lenses, age-related differences in protein solubility, and association of various post-translational modifications with age and protein solubility. METHODS: Lens core proteins were separated into water-soluble and water-insoluble fractions using aqueous buffer and centrifugation. The water-insoluble fraction was solubilized using sodium dodecyl sulfate (SDS). Proteins were processed using S-trap columns, and peptide digests were analyzed using high-resolution, label-free data-dependent acquisition (DDA) proteomics. Open modification searches were performed using MSFragger to identify possible post-translational modifications (PTMs). The number of modified peptide tandem mass spectra confidently assigned to samples by age or solubility were compared to find PTMs with statistically significant count differences. RESULTS: The overall proteomic profile of rhesus macaque lenses was very similar to human lenses, consisting of 80.2% crystallins, 1.1% beaded filament proteins, and 18.7% other proteins. The crystallin fraction consisted of 27% alpha crystallins, 67.6% beta/gamma crystallins, and 5.4% taxon-specific psi crystallin. Glycolytic enzymes, beta/gamma crystallins, and a few glutathione-related enzymes were found to have age-related shifts to the water-insoluble fraction. There were significant differences in deamidation, dioxidation, carbamylation, carboxymethylation, and trioxidation based on age and/or solubility of proteins. CONCLUSIONS: These data indicate a high level of conformity between rhesus macaque and human lens proteomes, and a few key differences. We identified several age-related differences in protein solubility and PTM that may contribute to lens pathology.

Animals↗

Post-translational modifications of sibling proteins and their roles in osteogenesis and dentinogenesis.

The extracellular matrix (ECM) of bone and dentin contains several non-collagenous proteins. One category of non-collagenous protein is termed the SIBLING (Small Integrin-Binding LIgand, N-linked Glycoprotein) family, that includes osteopontin (OPN), bone sialoprotein (BSP), dentin matrix protein 1 (DMP1), dentin sialophosphoprotein (DSPP), and matrix extracellular phosphoglycoprotein (MEPE). These polyanionic SIBLING proteins are believed to play key biological roles in the mineralization of bone and dentin. Although the specific mechanisms involved in controlling bone and dentin formation are still unknown, it is clear that some functions of the SIBLING family members are dependent on the nature and extent of post-translational modifications (PTMs), such as phosphorylation, glycosylation, and proteolytic processing, since these PTMs would have significant effects on their structure. OPN and BSP are present in the ECM of bone and dentin as full-length forms, whereas amino acid sequencing indicates that DMP1 and DSPP exist as proteolytically processed fragments that result from scission of X-Asp bonds. We hypothesized that the processing of DMP1 and DSPP is catalyzed by the PHEX enzyme, since this protein, an endopeptidase that is predominantly expressed in bone and tooth, has a strong preference for cleavage at the NH2-terminus of aspartyl residue. We envision that the proteolytic processing of DMP1 and DSPP may be an activation process that plays a significant, crucial role in osteogenesis and dentinogenesis, and that a failure in this processing would cause defective mineralization in bone and dentin, as observed in X-linked hypophosphatemic rickets.

Amino Acid Sequence↗

New malignancies after blood or marrow stem-cell transplantation in children and adults: incidence and risk factors.

PURPOSE: To determine the incidence and risk factors for the development of new malignancies occurring after stem-cell transplantation (SCT). PATIENTS: Between January 1, 1974, and March 31, 2001, 3,372 patients underwent SCT at the University of Minnesota. From these transplants, 147 posttransplant malignancies (PTMs) were identified in 137 patients. RESULTS: Excluding nonmelanoma skin cancers (n = 19) and carcinoma-in-situ (n = 5), the remaining 123 cases represented an 8.1-fold (95% confidence interval [CI], 6.7 to 9.6) increased risk of a PTM, an excess risk of 102.7 cases/10,000 persons/yr (age and sex adjusted). This includes a significantly elevated risk for developing myelodysplastic syndrome (MDS) or acute myeloid leukemia (AML; standardized incidence ratio [SIR] = 300; 95% CI, 210 to 406), non-Hodgkin's lymphoma including posttransplant lymphoproliferative disorder (PTLD; SIR = 54.3; 95% CI, 39.5 to 41.1), Hodgkin's disease (SIR = 14.8; 95% CI, 3.9 to 32.9), or solid tumors overall (SIR = 2.8; CI, 2.0 to 3.7) and in specific for melanoma, brain, and oral cavity tumors. The cumulative incidence for the development of any PTM was 6.9% (95% CI, 5.2 to 8.6) at 20 years post-SCT. For PTLD (n = 43), the cumulative incidence plateaued at 1.4% (95% CI, 1.0 to 1.8) by 10 years post-SCT. For MDS or AML, the cumulative incidence plateaued at 1.4% (95% CI, 0.9 to 1.9) by 10 years post-SCT. The cumulative incidence of developing a solid tumor did not plateau and was 3.8% (95% CI, 2.2 to 5.4) at 20 years post-SCT. CONCLUSION: These data reveal that the risk of PTMs, especially solid tumors, continues to increase even 20 years after transplant, necessitating long-term close follow-up for these patients.

Adolescent↗

CLASPP: A unified model for predicting post-translational modifications.

Post-Translational Modifications (PTMs) are a fundamental mechanism for regulating cellular pathways and increasing the functional diversity of the proteome. Accurately predicting the PTM types that are likely to occur at a given site in the primary sequence is a key challenge in functional proteomics. Existing PTM prediction models predominantly focus on either single PTM types or employ ensemble methods that combine multiple models to predict different PTM types. This fragmentation is largely driven by the vast imbalance in data availability across PTM types, making it difficult to predict multiple PTM types with a single model. To address this limitation, we present the Contrastively Learned Attention-based Stratified PTM Predictor (CLASPP), a unified PTM prediction model. CLASPP addresses imbalance challenges by leveraging unsupervised clustering-based undersampling and a novel contrastive learning framework tailored to PTM data. Additionally, our hierarchical data organization and curation are shown to improve CLASPP's performance by balancing the representation of individual PTM types and provides a standardized dataset to train and validate future model designs. Drawing inspiration from advancements in image and natural language processing, the CLASPP model employs a multi-stage training strategy and a high-quality, curated training dataset to improve PTM prediction performance. To uncover what is learned during the contrastive learning stage, the CLASPP model is shown to distinguish known protein kinase substrate specificity profiles as a form of explainability. Finally, we evaluate the application of CLASPP in predicting PTMs in different model organisms and experimentally validated ubiquitination sites in the understudied DCLK3 kinase. Overall, CLASPP represents a unified model for PTM prediction that addresses key bottlenecks in data imbalance and offers new strategies for biological data curation, thereby improving PTM-type prediction performance across diverse organisms.

Protein Processing, Post-Translational↗

Reversion from basal histone H4 hypoacetylation at the replication fork increases DNA damage in FANCA deficient cells.

The FA/BRCA pathway safeguards DNA replication by repairing interstrand crosslinks (ICL) and maintaining replication fork stability. Chromatin structure, which is in part regulated by histones posttranslational modifications (PTMs), has a role in maintaining genomic integrity through stabilization of the DNA replication fork and promotion of DNA repair. An appropriate balance of PTMs, especially acetylation of histones H4 in nascent chromatin, is required to preserve a stable DNA replication fork. To evaluate the acetylation status of histone H4 at the replication fork of FANCA deficient cells, we compared histone acetylation status at the DNA replication fork of isogenic FANCA deficient and FANCA proficient cell lines by using accelerated native immunoprecipitation of nascent DNA (aniPOND) and in situ protein interactions in the replication fork (SIRF) assays. We found basal hypoacetylation of multiple residues of histone H4 in FA replication forks, together with increased levels of Histone Deacetylase 1 (HDAC1). Interestingly, high-dose short-term treatment with mitomycin C (MMC) had no effect over H4 acetylation abundance at the replication fork. However, chemical inhibition of histone deacetylases (HDAC) with Suberoylanilide hydroxamic acid (SAHA) induced acetylation of the FANCA deficient DNA replication forks to levels comparable to their isogenic control counterparts. This forced permanence of acetylation impacted FA cells homeostasis by inducing DNA damage and promoting G2 cell cycle arrest. Altogether, this caused reduced RAD51 foci formation and increased markers of replication stress, including phospho-RPA-S33. Hypoacetylation of the FANCA deficient replication fork, is part of the cellular phenotype, the perturbation of this feature by agents that prevent deacetylation, such as SAHA, have a deleterious effect over the delicate equilibrium they have reached to perdure despite a defective FA/BRCA pathway.

Histones↗

Analysis of posttranslational modifications of proteins by tandem mass spectrometry.

Protein activity and turnover is tightly and dynamically regulated in living cells. Whereas the three-dimensional protein structure is predominantly determined by the amino acid sequence, posttranslational modification (PTM) of proteins modulates their molecular function and the spatial-temporal distribution in cells and tissues. Most PTMs can be detected by protein and peptide analysis by mass spectrometry (MS), either as a mass increment or a mass deficit relative to the nascent unmodified protein. Tandem mass spectrometry (MS/MS) provides a series of analytical features that are highly useful for the characterization of modified proteins via amino acid sequencing and specific detection of posttranslationally modified amino acid residues. Large-scale, quantitative analysis of proteins by MS/MS is beginning to reveal novel patterns and functions of PTMs in cellular signaling networks and biomolecular structures.

Mass Spectrometry↗

Peritrophic membrane of the penaeid shrimp Sicyonia ingentis: structure, formation, and permeability.

Peritrophic membranes (PTMs) are secreted acellular layers that separate ingested materials from the gut epithelium in a variety of invertebrates. In insects and crustaceans, PTMs are produced in the midgut trunk (MGT, or intestine), but the MGT in decapod crustaceans, unlike that of insects, is not involved with digestion or absorption of food. We demonstrate that the PTM in the penaeid shrimp Sicyonia ingentis is similar to that in other crustaceans that have been studied and is primarily composed of chitin. The lectin WGA binds only to the PTM and glycocalyx along the microvilli of the midgut cells, which is consistent with the suggestion that the chitin is synthesized along the microvilli. The PTM is only permeable to inert particles smaller than 20 nm. We also describe the secretion of granules, which fill the apices of the epithelial cells, into the ectoperitrophic space. Although their function is not clear, they do not contribute to the PTM.

Animals↗

A Translocation within the Ogataea Species Complex Alters Local Subtelomeric Chromatin while Maintaining Overall Genome Organization.

Eukaryotic genomic DNA is packaged in the nucleus as chromatin - a DNA-protein aggregate regulating genome function, including transcription. Chromatin is classified as either active euchromatin or silent heterochromatin, with each marked by distinct histone post-translational modifications (PTMs). Chromatin composition also mediates genome organization, including how heterochromatin aggregates at the nuclear periphery while euchromatin localizes to the nucleus center. In fungi, heterochromatic loci cluster, including independent centromere and telomere clusters that form the Rabl chromosome conformation. However, it is unknown if chromatin composition and genome organization are conserved in closely related fungi, and how they are impacted by large-scale chromosomal rearrangements. Here, we examined differences in histone PTM deposition, gene expression, and genome organization in two yeast species from the order Pichiales, which diverged from the common ancestor shared with Saccharomyces cerevisiae more than 200 million years ago. We focused on Ogataea polymorpha, which is used for industrial protein production, and Ogataea haglerorum, an isolate of which harbors a translocation between chromosomes 1 and 6. We show that the enrichment of three activating PTMs - the trimethylation of lysine 4 of histone H3 (H3K4me3) and the acetylation of lysine 9 of histone H3 (H3K9ac) or lysine 16 of histone H4 (H4K16ac) - are similar genome-wide yet individual gene orthologs have distinct chromatin and expression patterns. While both Ogataea genomes organize into a Rabl conformation, the O. haglerorum translocation alters subtelomeric chromatin composition and expression of genes affected by the translocation. Our work highlights the genome function differences that occur on a microevolutionary scale.

Ogataea↗

Differential HMGA expression and post-translational modifications in prostatic tumor cells.

The HMGA architectural nuclear factors are involved in chromatin dynamics and their overexpression has been strongly linked to the neoplastic transformation process. Here we investigate the expression and post-translational modifications (PTMs) of HMGA proteins (HMGA1a, HMGA1b and HMGA2) in the rat prostatic cancer Dunning model (G, AT-1, and MAT-Ly-Lu cell lines). We demonstrate the expression of HMGA2, in addition to HMGA1a and HMGA1b, in both the anaplastic cell lines AT-1 and MAT-Ly-Lu and an extremely specific HMGA1a mono-methylation only in the most metastatic cell line MAT-Ly-Lu. The HMGA ectopic expression in HMGA-negative Dunning G cells does not significantly alter their growth ability, suggesting that, although HMGA expression is necessary for the progression of neoplastic transformation in several cellular models, in these cells it is not sufficient. These data suggest exploring HMGA2 as a potential marker in human prostate tumor and moreover indicate PTMs as an additional tool in the staging of tumor progression.

Agar↗

Fast de novo peptide sequencing and spectral alignment via tree decomposition.

De novo sequencing and spectral alignment are computationally important for the prediction of new protein peptides via tandem mass spectrometry (MS/MS). Both approaches are established upon the problem of finding the longest antisymmetric path on formulated graphs. The problem is of high computational complexity and the prediction accuracy is compromised when given spectra involve noisy data, missing mass peaks, or post translational modifications (PTMs) and mutations. This paper introduces a graphical mechanism to describe relationships among mass peaks that, through graph tree decomposition, yields linear and quadratic time algorithms for optimal de novo sequencing and spectral alignment respectively. Our test results show that, in addition to high efficiency, the new algorithms can achieve desired prediction accuracy on spectra containing noisy peaks and PTMs while allowing the presence of both b-ions and y-ions.

Algorithms↗

Mass spectrometry-based mapping of the ubiquitin chaperone code.

Maintenance of proteome integrity is essential for cellular homeostasis and organismal health. This integrity depends on proteostasis, a coordinated network of protein quality control systems that regulate protein folding, stabilization, and degradation. Molecular chaperones, together with proteolytic pathways such as the ubiquitin-proteasome system (UPS) and the autophagy-lysosomal pathway, prevent the accumulation of misfolded and aggregation-prone proteins. Perturbations, including genetic mutations, environmental stress, and aging challenge protein folding fidelity, leading to proteotoxic stress and contributing to the pathogenesis of neurodegenerative disorders. Among the chaperone machinery, the HSP70 and HSP90 families play central roles in maintaining protein conformational homeostasis and directing damaged or misfolded substrates toward refolding or degradation pathways. Recent studies show that chaperone activity is dynamically regulated by diverse post-translational modifications (PTMs), including phosphorylation, acetylation, and ubiquitination, collectively termed the "chaperone code." These modifications modulate chaperone-client interactions, enzymatic activity, localization, and coordination with protein degradation systems. Mass spectrometry (MS)-based proteomics has emerged as a powerful approach for mapping ubiquitination sites and quantifying ubiquitin signaling dynamics. This chapter outlines experimental and computational strategies for MS-based analysis of the ubiquitin chaperone code, including di-glycine peptide enrichment, site identification, quantitative analysis, and validation.

Humans↗

Defining active and repressive chromatin states in neural crest cells using low-input CUT&RUN.

The transition of neural crest cells (NCCs) from a multipotent state to lineage-restricted derivatives, including melanocytes, is governed by tightly regulated epigenetic mechanisms that orchestrate cell type specific gene expression programs. Histone post-translational modifications (PTMs), in particular, play an important role in modulating chromatin accessibility, enhancer activation, and transcription factor occupancy, thereby facilitating dynamic chromatin and transcriptional reprogramming required during development. However, profiling such chromatin states in rare and transient Neural Crest Cell (NCC) populations in vivo remains technically challenging. To address this, we present an optimized low-input Cleavage Under Targets and Release Using Nuclease (CUT&RUN) workflow tailored for fluorescence-activated cell sorting (FACS) isolated NCCs from zebrafish embryos. This approach enables high-resolution and low-background mapping of key histone modifications, including H3K27ac, H3K4me3, and H3K27me3, from limited cell numbers. Collectively, these methodologies provide a robust framework for dissecting chromatin state dynamics in developmental systems and can also offer insights into epigenetic dysregulation associated with disease.

Animals↗

Diagnosis and therapeutic strategy for papillary thyroid microcarcinoma.

HYPOTHESIS: Total thyroidectomy followed by radioactive iodine I 131 treatment is effective in papillary thyroid microcarcinoma (PTM) with lymph node or extrathyroid invasion. DESIGN: Retrospective study. SETTING: Chang Gung Medical Center, Linkou, Taiwan. PATIENTS: A total of 227 patients with PTM, categorized into high-risk (n = 12) and low-risk (n = 215) groups according to age, metastases, extent, and size criteria. INTERVENTIONS: Diagnosis and treatment of PTM. MAIN OUTCOME MEASURES: Time and method of diagnosis, operative method, metastases, and survival. RESULTS: In 51 patients, PTM was identified on preoperative fine-needle aspiration cytology; in 75 patients, diagnosed in frozen sections during operation; and in 101 patients, diagnosed incidentally in the final histopathological examination. Among these 3 groups, 18% (9/51), 17% (13/75), and 78% (79/101), respectively, underwent subtotal thyroidectomy or lobectomy for tumors. Four cases (1.8%) displayed distant metastases at diagnosis. Only 0.9% of patients with PTM (2 of 227) died of thyroid cancer. One hundred eighty-nine cases of PTM were confined to the thyroid, 22 had lymph node metastases, and 16 showed extrathyroid extension, including soft-tissue invasion and distant metastases. Sex, operative methods, follow-up status, and mortality showed differences in these groups. Five of 227 patients remained in non-disease-free status at follow-up. CONCLUSIONS: Approximately 10% of PTMs exhibited progressive clinical courses, while less than 1% resulted in mortality. Age, sex, and postoperative thyroglobulin level were the main prognostic factors in the high-risk group of patients with PTM. Conservative treatment of the incidental finding of PTM after suitable postoperative assessment is justified.

Adenocarcinoma, Papillary↗

Glycosylation analysis of gel-separated proteins.

Beyond the identification of proteins involved in a particular physiological situation, many aspects of proteomics require more detailed characterization of the proteins involved. Post-translational modifications (PTMs) of proteins are a common means to target proteins, regulate their activities and to mediate communication between proteins and cells. Owing to the much higher analytical complexity of glycan analysis compared to e.g. protein identification, PTM analysis in general and glycosylation analysis in particular is largely neglected in proteomics. In this review, the current technological status of global and site-specific glycosylation analysis of gel-separated proteins is described and the way in which the available technology can be employed in proteomics is critically discussed.

Animals↗

Peptide mass fingerprinting peak intensity prediction: extracting knowledge from spectra.

Matrix-assisted laser desorption/ionization-time of flight mass spectrometry has become a valuable tool in proteomics. With the increasing acquisition rate of mass spectrometers, one of the major issues is the development of accurate, efficient and automatic peptide mass fingerprinting (PMF) identification tools. Current tools are mostly based on counting the number of experimental peptide masses matching with theoretical masses. Almost all of them use additional criteria such as isoelectric point, molecular weight, PTMs, taxonomy or enzymatic cleavage rules to enhance prediction performance. However, these identification tools seldom use peak intensities as parameter as there is currently no model predicting the intensities based on the physicochemical properties of peptides. In this work, we used standard datamining methods such as classification and regression methods to find correlations between peak intensities and the properties of the peptides composing a PMF spectrum. These methods were applied on a dataset comprising a series of PMF experiments involving 157 proteins. We found that the C4.5 method gave the more informative results for the classification task (prediction of the presence or absence of a peptide in a spectra) and M5' for the regression methods (prediction of the normalized intensity of a peptide peak). The C4.5 result correctly classified 88% of the theoretical peaks; whereas the M5' peak intensities had a correlation coefficient of 0.6743 with the experimental peak intensities. These methods enabled us to obtain decision and model trees that can be directly used for prediction and identification of PMF results. The work performed permitted to lay the foundations of a method to analyze factors influencing the peak intensity of PMF spectra. A simple extension of this analysis could lead to improve the accuracy of the results by using a larger dataset. Additional peptide characteristics or even PMF experimental parameters can also be taken into account in the datamining process to analyze their influence on the peak intensity. Furthermore, this datamining approach can certainly be extended to the tandem mass spectrometry domain or other mass spectrometry derived methods.

Acrylamide↗

Automated mass correction and data interpretation for protein open-access liquid chromatography-mass spectrometry.

Characterization of recombinant protein purification fractions and final products by liquid chromatography-mass spectrometry (LC/MS) are requested more frequently each year. A protein open-access (OA) LC/MS system was developed in our laboratory to meet this demand. This paper compares the system that we originally implemented in our facilities in 2003 to the one now in use, and discusses, in more detail, recent enhancements that have improved its robustness, reliability, and data reporting capabilities. The system utilizes instruments equipped with reversed-phase chromatography and an orthogonal accelerated time-of-flight mass spectrometer fitted with an electrospray source. Sample analysis requests are accomplished using a simple form on a web-enabled laboratory information management system (LIMS). This distributed form is accessible from any intranet-connected company desktop computer. Automated data acquisition and processing are performed using a combination of in-house (OA-Self Service, OA-Monitor, and OA-Analysis Engine) and vendor-supplied programs (AutoLynx, and OpenLynx) located on acquisition computers and off-line processing workstations. Analysis results are then reported via the same web-based LIMS. Also presented are solutions to problems not addressed on commercially available, small-molecule OA-LC/MS systems. These include automated transforming of mass-to-charge (m/z) spectra to mass spectra and automated data interpretation that considers minor variants to the protein sequence-such as common post-translational modifications (PTMs). Currently, our protein OA-LC/MS platform runs on five LC/MS instruments located in three separate GlaxoSmithKline R&D sites in the US and UK. To date, more than 8000 protein OA-LC/MS samples have been analyzed. With these user friendly and highly automated OA systems in place, mass spectrometry plays a key role in assessing the quality of recombinant proteins, either produced at our facilities or bought from external sources, without dedicating extensive amounts of analyst resource.

Animals↗

Analysis of sulfated peptides using positive electrospray ionization tandem mass spectrometry.

Presented is a method for analyzing sulfated peptides, and differentiating the post-translational modification (PTM) from its isobaric counterpart phosphorylation, using quadrupole time-of-flight (Qq/TOF) mass spectrometry (MS) and positive ion nanoelectrospray MS/MS. A set of commercially available sulfo- and phosphopeptide standards was analyzed via in-source dissociation and MS/MS to generate fragmentation signatures that were used to characterize and differentiate the two modifications. All of the phosphorylated peptides retained their +80 Da modifications under collision-induced decomposition (CID) conditions and peptide backbone fragmentation allowed for the site-specific identification of the modification. In sharp contrast, sulfated peptides lost SO3 from the precursor as the collision energy (CE) was increased until only the non-sulfated form of the peptide was observed. The number of 80 Da losses indicated the number of sulfated sites. By continuing to ramp the CE further, it was possible to fragment the non-sulfated peptides and obtain detailed sequence information. It was not possible to obtain site-specific information on the location of the sulfate moieties using positive ion MS/MS as none of the original precursor ions were present at the time of peptide backbone fragmentation. This method was applied to the analysis of recombinant human B-domain deleted factor VIII (BDDrFVIII), which has six well-documented sulfation sites and several potential phosphorylation sites located in two of the sulfated regions of the protein. Seven peptides with single and multiple +80 Da modifications were isolated and analyzed for their respective PTMs. The fragmentation patterns obtained from the BDDrFVIII peptides were compared with those obtained for the standard peptides; and in all cases the peptides were sulfated. None of the potential phosphorylation sites were found to be occupied, and these results are consistent with the literature.

Amino Acid Sequence↗

Reactions of polypeptide ions with electrons in the gas phase.

Reactions of electrons in the energy range below 70 eV with polypeptide cations and anions are reviewed, as well as their applications for the structural analysis of polypeptides. At very low energies (</= 0.1 eV), the major outcome is electron-capture dissociation (ECD) of S-S and backbone N-C(alpha) bonds, leading to c' and z. fragments. ECD is useful in sequencing and characterization of post-translational modifications (PTMs), because c', z. fragmentation is abundant and the fragments usually retain labile groups. Electron capture at higher energies (3-13 eV) induces secondary fragmentation in radical z. fragments; this hot ECD (HECD) allows one to distinguish between the isomeric leucine and isoleucine residues. If a hot electron is not captured, then the induced electronic excitation converts internally into vibrational energy, resulting in fragmentation of the C(O)bond;N backbone bond (so-called EIEIO process). Above 9-10 eV, further ionization of n-charged cations occurs. If the formed (n + 1)+. cations capture electrons, then the C(alpha)bond;C backbone bond is usually broken. For anions that collide with approximately 20 eV electrons, the ejection of an electron leads to the creation of a radical positive charge (hole) that recombines internally with a negative charge. Such recombination leads to various backbone bond cleavages. This electron-detachment dissociation (EDD) is analogous to ECD for negative ions.

Electrons↗