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Because of limits on specificity and purity to allow for in-depth protein profiling, a standardized method for exosome isolation has yet to be established. In this study, we describe a novel, in-house microfluidic-based device to isolate exosomes from culture media and patient samples. This technology overcomes contamination issues because sample separation is based on the expression of highly specific surface markers CD63 and EpCAM. Mass spectrometry revealed over 25 exosome proteins that are differentially expressed in high-grade serous ovarian cancer (HGSOC) cell lines compared with normal cells—ovarian surface epithelia cells and fallopian tube secretory epithelial cells (FTSEC). Top exosome proteins were identified on the basis of their fold change and statistical significance between groups. Ingenuity pathway analysis identified STAT3 and HGF as top regulator proteins. We further validated exosome proteins of interest (pSTAT3, HGF, and IL6) in HGSOC samples of origin-based cell lines (OVCAR-8, FTSEC) and in early-stage HGSOC patient serum exosome samples using LC/MS-MS and proximity extension assay. Our microfluidic device will allow us to make new discoveries for exosome-based biomarkers for the early detection of HGSOC and will contribute to the development of new targeted therapies based on signaling pathways that are unique to HGSOC, both of which could improve the outcome for women with HGSOC.Significance:A unique platform utilizing a microfluidic device enables the discovery of new exosome-based biomarkers in ovarian cancer.

Sup. Tables: S1-S3 is Gene Ontology Term analysis by Panther db in cancer cells Vs normal cells. S4-S6 is IPA core analysis showing the top protein molecules identified to be upregulated in cancer cells Vs normal cells. S7 is Proximity Extension Assay for select the Immuno-oncology panel proteins that were significantly higher in HGSOC

ObjectiveThe Buffalo Concussion Physical Examination (BCPE) is a brief, but pertinent physical examination designed for the subacute, outpatient assessment of concussion. The purpose of this study was to perform the BCPE on a larger sample and derive a scoring system to identify children at risk for Persistent Post-Concussive Symptoms (PPCS, recovery ≥30 days).MethodsThis prospective, observational cohort study from September 2016 to March 2019 was performed at three university-affiliated concussion clinics. Male and female children (n=270, 14.92±1.86 years, range 8–18, 38% female) were diagnosed with a concussion within 14 days of injury and followed-up until recovery. Logistic regression was used with history and physical examination variables to predict PPCS and a weighted scoring metric was derived.ResultsOut of 15 predictor variables, the main effects of 1 preinjury variable (≥3 previous concussions), 2 injury characteristic variables (days-since-injury and type-of-injury), 3 physical examination variables (orthostatic intolerance (OI), vestibulo-ocular reflex (VOR) and tandem gait) and 2 interaction terms (OI/VOR and tandem gait/type-of-injury) produced a score that was 85% accurate for identifying children with low-risk, medium-risk and high-risk for PPCS on cross-validation.ConclusionThe Risk for Delayed Recovery (RDR)-Score allows physicians in an outpatient setting to more accurately predict which children are at greater risk for PPCS early after their injury, and who would benefit most from targeted therapies. The RDR-Score is intended to be used as part of a comprehensive assessment that should include validated symptom checklists, mental health history and adjunct testing (eg, cognitive or physical exertion) where clinically indicated.

ObjectiveFacioscapulohumeral muscular dystrophy (FSHD) is caused by abnormal de-repression of the transcription factor DUX4, which is toxic to muscle in vitro and in vivo. While the transcriptional targets of DUX4 are known, the regulation of DUX4 protein and the molecular consequences of this regulation are unclear. Here, we used in vitro models of FSHD to identify and characterize DUX4 posttranslational modifications (PTMs) and their impact on the toxic function of DUX4.MethodsDUX4 protein was immunoprecipitated and mass spectrometry performed to identify PTMs. We then extensively characterized DUX4 PTMs and potential enzyme modifiers using mutagenesis, proteomics and biochemical assays in human cell lines and human myoblast cell lines.ResultsOur in vitro screen of DUX4 PTM mutants identified arginine methyl-null and serine/threonine phosphomimetic mutants that protected cells against DUX4-mediated toxicity and reduced the ability of DUX4 to transactivate downstream gene targets, including FSHD biomarkers. Using additional proteomics and biochemical approaches, we identified protein kinase A (PKA) and a protein arginine methyltransferase (PRMT1) as components of the DUX4 complex. Importantly, over-expression of PRKACA, a catalytic subunit of the PKA holoenzyme, mitigated DUX4 toxicity, while pharmacologic inhibition of PRMT1 protected human myoblasts from DUX4-mediated apoptosis.InterpretationThese results demonstrate that DUX4 is regulated by PTMs and that DUX4 PTMs, or associated modifying enzymes, may be druggable targets for FSHD therapy.

OBJECTIVES: Endoscopic pancreatic function tests are used to diagnose pancreatic diseases and are a viable source for the discovery of biomarkers to better characterize pancreatic disorders. However, pancreatic fluid (PF) contains active enzymes that degrade biomolecules. Therefore, we tested how preservation methods and time to storage influences the integrity and quality of proteins and nucleic acids. METHODS: We obtained PF from 9 subjects who underwent an endoscopic pancreatic function test. Samples were snap frozen at the time of collection, after 1, 2, 4 hours on ice, or after storage overnight at 4°C with or without RNase or protease inhibitors. Electrophoresis and mass spectrometry analysis determined protein abundance and quality while nucleic acid integrity values determined DNA and RNA degradation. RESULTS: Protein degradation increased after 4 hours on ice and DNA degradation after 2 hours on ice. Adding protease inhibitors delayed degradation. RNA was significantly degraded under all conditions compared to the snap frozen samples. Isolated RNA from PF-derived exosomes exhibited similar poor quality as RNA isolated from matched PF samples. CONCLUSIONS: Adding protease inhibitors immediately after collecting PF and processing the fluid within 4 hours of collection maintains the protein and nucleic acid integrity for use in downstream molecular analyses.

Pathogenic variants in BRCA1 are associated with a greatly increased risk of hereditary breast and ovarian cancer (HBOC). With the increased availability and affordability of genetic testing, many individuals have been identified with BRCA1 variants of uncertain significance (VUSs), which are individually detected in the population too infrequently to ascertain a clinical risk. Functional assays can be used to experimentally assess the effects of these variants. In this study, we used multiplexed DNA repair assays of variants in the BRCA1 carboxyl terminus to functionally characterize 2,271 variants for homology-directed repair function (HDR) and 1,427 variants for cisplatin resistance (CR). We found a high level of consistent results (Pearson's r = 0.74) in the two multiplexed functional assays with non-functional variants located within regions of the BRCA1 protein necessary for its tumor suppression activity. In addition, functional categorizations of variants tested in the multiplex HDR and CR assays correlated with known clinical significance and with other functional assays for BRCA1 (Pearson's r = 0.53 to 0.71). The results of the multiplex HDR and CR assays are useful resources for characterizing large numbers of BRCA1 VUSs.

Forensic genetic investigations typically rely on analysis of DNA for attribution purposes. There are times, however, when the amount and/or the quality of the DNA is limited, and thus little or no information can be obtained regarding the source of the sample. An alternative biochemical target that also contains genetic signatures is protein. One class of genetic signatures is protein polymorphisms that are a direct consequence of simple/single/short nucleotide polymorphisms (SNPs) in DNA. However, to interpret protein polymorphisms in a forensic context, certain complexities must be understood and addressed. These complexities include: 1) SNPs can generate 0, 1, or arbitrarily many polymorphisms in a polypeptide; and 2) as an object of expression that is modulated by alleles, genes and interactions with the environment, proteins may be present or absent in a given sample. To address these issues, a novel approach was taken to generate the expected protein alleles in a reference sample based on whole genome (or exome) sequence data and assess the significance of the evidence using a haplotype-based semi-continuous likelihood algorithm that leverages whole proteome data. Converting the genomic information into the proteomic information allows for the zero-to-many relationship between SNPs and GVPs to be abstracted away. When viewed as a haplotype, many GVPs that correspond to the same SNP is equivalent to many SNPs in perfect linkage disequilibrium (LD). As long as the likelihood formulation correctly accounts for LD, the correspondence between the SNP and the proteome can be safely neglected. Tests were performed on simulated samples, including single-source and two-person mixtures, and the power of using a classical semi-continuous likelihood versus one that has been adapted to neglect drop-out was compared. Additionally, summary statistics and a rudimentary set of decision guidelines were introduced to help identify mixtures from protein data.

Protein post-translational modification (PTM) is crucial to modulate protein interactions and activity in various biological processes. Emerging evidence has revealed PTM patterns participate in the pathology onset and progression of various diseases. Current PTM identification relies mainly on mass spectrometry-based approaches that limit the assessment to the entire protein population in question. Here we report a label-free method for the detection of the single peptide with only one amino acid modification via electronic fingerprinting using reengineered durable channel of phi29 DNA packaging motor, which bears the deletion of 25-amino acids (AA) at the C-terminus or 17-AA at the internal loop of the channel. The mutant channels were used to detect propionylation modification via single-molecule fingerprinting in either the traditional patch-clamp or the portable MinION™ platform of Oxford Nanopore Technologies. Up to 2000 channels are available in the MinION™ Flow Cells. The current signatures and dwell time of individual channels were identified. Peptides with only one propionylation were differentiated. Excitingly, identification of single or multiple modifications on the MinION™ system was achieved. The successful application of PTM differentiation on the MinION™ system represents a significant advance towards developing a label-free and high-throughput detection platform utilizing nanopores for clinical diagnosis based on PTM.

A central component of the epigenome is the pattern of histone post-translational modifications that play a critical role in the formation of specific chromatin states. Following DNA replication, nascent chromatin is a 1:1 mixture of parental and newly synthesized histones and the transfer of modification patterns from parental histones to new histones is a fundamental step in epigenetic inheritance. Here we report that loss of HAT1, which acetylates lysines 5 and 12 of newly synthesized histone H4 during replication-coupled chromatin assembly, results in the loss of accessibility of large domains of heterochromatin, termed HAT1-dependent Accessibility Domains (HADs). HADs are mega base-scale domains that comprise ∼10% of the mouse genome. HAT1 globally represses H3 K9 me3 levels and HADs correspond to the regions of the genome that display HAT1-dependent increases in H3 K9me3 peak density. HADs display a high degree of overlap with a subset of Lamin-Associated Domains (LADs). HAT1 is required to maintain nuclear structure and integrity. These results indicate that HAT1 and the acetylation of newly synthesized histones may be critical regulators of the epigenetic inheritance of heterochromatin and suggest a new mechanism for the epigenetic regulation of nuclear lamina-heterochromatin interactions., Graphical Abstract Graphical AbstractThe disruption of nucleosomes during DNA replication may provide a window during which the deposition of acetylated new histones regulates histone H3 methylation and the association of heterochromatin with components of the nuclear lamina.

Because of limits on specificity and purity to allow for in-depth protein profiling, a standardized method for exosome isolation has yet to be established. In this study, we describe a novel, in-house microfluidic-based device to isolate exosomes from culture media and patient samples. This technology overcomes contamination issues because sample separation is based on the expression of highly specific surface markers CD63 and EpCAM. Mass spectrometry revealed over 25 exosome proteins that are differentially expressed in high-grade serous ovarian cancer (HGSOC) cell lines compared with normal cells—ovarian surface epithelia cells and fallopian tube secretory epithelial cells (FTSEC). Top exosome proteins were identified on the basis of their fold change and statistical significance between groups. Ingenuity pathway analysis identified STAT3 and HGF as top regulator proteins. We further validated exosome proteins of interest (pSTAT3, HGF, and IL6) in HGSOC samples of origin-based cell lines (OVCAR-8, FTSEC) and in early-stage HGSOC patient serum exosome samples using LC/MS-MS and proximity extension assay. Our microfluidic device will allow us to make new discoveries for exosome-based biomarkers for the early detection of HGSOC and will contribute to the development of new targeted therapies based on signaling pathways that are unique to HGSOC, both of which could improve the outcome for women with HGSOC. Significance: A unique platform utilizing a microfluidic device enables the discovery of new exosome-based biomarkers in ovarian cancer.

Epigenetic and metabolic alterations in cancer cells are intertwined. The concentration of metabolites can influence the activity of chromatin modifiers, which in turn can act as metabolic sensors that translate changes in cellular metabolism to transcriptional reprogramming. In the present study, we investigated the role of histone demethylase KDM2B in the metabolic reprogramming of the triple-negative breast cancer (TNBC), in which KDM2B is selectively expressed at high levels. Knockdown of KDM2B in TNBC cell lines reduced their proliferation rate and tumor growth in vivo. Transcriptomic, proteomic, and metabolomic profiling demonstrated that the Serine-Glycine pathway and One Carbon metabolism (SGOC) and other amino acid biosynthetic and catabolic processes are downregulated by the knockdown of KDM2B. Additionally, we see reduction of metabolites produced via these pathways (purines, pyrimidines, formate, glutathione and NADPH). Importantly, the expression of the enzymes involved in the SGOC metabolic pathway (e.g. PHGDH, PSAT1, PSPH, SHMT2, MTHFD1L, MTHFD2 and DHFR) depends on c-MYC, NRF2, and ATF4 which our data show that they are under the positive regulatory control of KDM2B. The epistatic relationship between these factors, with the expression of the enzymes of the SGOC pathway and the effects of the KDM2B knockdown on chromatin occupancy and accessibility of the promoters of these factors is in progress and will be presented. Analysis of TCGA data showed positive and statistically significant correlations between KDM2B and the SGOC gene signature in TNBC patients. In addition, the metabolic pathway signature that distinguishes control and shKDM2B-transduced cells corresponds to the metabolic signature of a subset of TNBCs, which have been reported to carry poor prognosis. The present study highlights the role of the epigenetic factor KDM2B as an upstream regulator of the metabolic reprogramming of TNBC. Citation Format: Evangelia Chavdoula, Vollter Anastas, Alessandro La Ferlita, Julian Aldana, Anuvrat Sircar, Michael A. Freitas, Lalit Sehgal, Philip N. Tsichlis. The epigenetic factor KDM2B alters the serine-glycine synthesis pathway and the one-carbon metabolism (SGOC) in triple-negative breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3019.

We present an efficient protein extraction and in-solution enzymatic digestion protocol optimized for mass spectrometry-based proteomics studies of human skin samples. Human skin cells are a proteinaceous matrix that can enable forensic identification of individuals. We performed a systematic optimization of proteomic sample preparation for a protein-based human forensic identification application. Digestion parameters, including incubation duration, temperature, and the type and concentration of surfactant, were systematically varied to maximize digestion completeness. Through replicate digestions, parameter optimization was performed to maximize repeatability and increase the number of identified peptides and proteins. Final digestion conditions were selected based on the parameters that yielded the greatest percent of peptides with zero missed tryptic cleavages, which benefit the analysis of genetically variable peptides (GVPs). We evaluated the final digestion conditions for identification of GVPs by applying MS-based proteomics on a mixed-donor sample. The results were searched against a human proteome database appended with a database of GVPs constructed from known non-synonymous single nucleotide polymorphisms (SNPs) that occur at known population frequencies. The aim of this study was to demonstrate the potential of our proteomics sample preparation for future implementation of GVP analysis by forensic laboratories to facilitate human identification. Significance Genetically variable peptides (GVPs) can provide forensic evidence that is complementary to traditional DNA profiling and be potentially used for human identification. An efficient protein extraction and reproducible digestion method of skin proteins is a key contributor for downstream analysis of GVPs and further development of this technology in forensic application. In this study, we optimized the enzymatic digestion conditions, such as incubation time and temperature, for skin samples. Our study is among the first attempts towards optimization of proteomics sample preparation for protein-based skin identification in forensic applications such as touch samples. Our digestion method employs RapiGest (an acid-labile surfactant), trypsin enzymatic digestion, and an incubation time of 16 h at 37 °C.

White adipose tissue (WAT) is a dynamic organ capable of modulating its mass in response to positive energy balance via hyperplasia or hypertrophy of adipocytes, developing inducible brown adipocytes (‘browning’), and altering mitochondrial content and function in response to stimuli such as cold exposure. Most notably, cold stimulation and release of norepinephrine from sympathetic nerve terminals can drive lipolysis in WAT (decreasing lipid droplet and adipocyte cell size) and promote increased neurite density and browning in neurite-dense regions. While several RNA-sequencing studies have been performed in WAT, very little work has been done to investigate changes to the adipose proteome during tissue remodeling. Here, we conducted the first comprehensive proteomic analysis of inguinal subcutaneous (sc)WAT after 24 or 72hrs of cold exposure in mice. We have identified significant pathways impacted by cold stimulation that are involved in tissue remodeling, including proteins with functions in mitochondrial dynamics, the immune system, and the nervous system.

Heterotopic ossification (HO) is the formation of ectopic bone in soft tissues observed in patients following blast injuries, orthopedic or head trauma, burns, or in the context of inborn mutations of genes involved in osteogenesis. There is no universally accepted therapy for HO. This study has used global unbiased mass spectrometry proteomic approaches, validated by western immunoblots, to interrogate skeletal muscle tissues obtained from a highly reproducible rat model of trauma induced HO. During early the phase of HO development, statistically significant modulation of proteins within the following pathways was identified: coagulation, cyclic AMP, extracellular matrix, immunity/inflammation, NADH metabolism, TGFβ. These metabolic proteins and pathways have the potential to serve as diagnostic, prognostic, and therapeutic targets for this devastating orthopedic condition that has considerable impact on the patient's quality of life. Furthermore, the findings confirm and extend previous in vitro stromal/stem cell and clinical studies from the field. SIGNIFICANCE: This study confirms and extends the field's understanding of the protein pathways that are modulated in a rat model of trauma induced heterotopic ossification. The identification of specific proteins such as the AP1 transcription factor as well as protein families such as the complement/coagulation pathway and serine protease inhibitors as biomarkers have potential clinical translational value. These outcomes have relevance to the physiological and pathological mineralization processes contributing to the recovery of orthopedic trauma patients.

The replisome is a protein complex on the DNA replication fork and functions in a dynamic environment at the intersection of parental and nascent chromatin. Parental nucleosomes are disrupted in front of the replication fork. The daughter DNA duplexes are packaged with an equal amount of parental and newly synthesized histones in the wake of the replication fork through the activity of the replication-coupled chromatin assembly pathway. Histone acetyltransferase 1 (HAT1) is responsible for the cytosolic diacetylation of newly synthesized histone H4 on lysines 5 and 12, which accompanies replication-coupled chromatin assembly. Here, using proximity ligation assay-based chromatin assembly assays and DNA fiber analysis, we analyzed the role of murine HAT1 in replication-coupled chromatin assembly. We demonstrate that HAT1 physically associates with chromatin near DNA replication sites. We found that the association of HAT1 with newly replicated DNA is transient, but can be stabilized by replication fork stalling. The association of HAT1 with nascent chromatin may be functionally relevant, as HAT1 loss decreased replication fork progression and increased replication fork stalling. Moreover, in the absence of HAT1, stalled replication forks were unstable, and newly synthesized DNA became susceptible to MRE11-dependent degradation. These results suggest that HAT1 links replication fork function to the proper processing and assembly of newly synthesized histones.

Long non-coding RNAs (lncRNAs) are important regulatory molecules that are implicated in cellular physiology and pathology. In this work, we dissect the functional role of the HOXB-AS3 lncRNA in patients with NPM1-mutated (NPM1mut) acute myeloid leukemia (AML). We show that HOXB-AS3 regulates the proliferative capacity of NPM1mut AML blasts in vitro and in vivo. HOXB-AS3 is shown to interact with the ErbB3-binding protein 1 (EBP1) and guide EBP1 to the ribosomal DNA locus. Via this mechanism, HOXB-AS3 regulates ribosomal RNA transcription and de novo protein synthesis. We propose that in the context of NPM1 mutations, HOXB-AS3 overexpression acts as a compensatory mechanism, which allows adequate protein production in leukemic blasts., LncRNAs at the HOX gene locus are increased in expression in NPM1 mutant acute myeloid leukemia. In this study, the authors show that one such lncRNA, HOX3B-AS3, has a role in regulating gene transcription and protein synthesis in leukemia cells.

Myeloid derived suppressor cells (MDSC) produce nitric oxide (NO) and inhibit dendritic cell (DC) immune responses in cancer. DCs present cancer cell antigens to CD4+ T cells through Jak-STAT signal transduction. In this study, NO donors (SNAP and DETA-NONOate) inhibited DC antigen presentation. As expected, MDSC isolated from peripheral blood mononuclear cells (PBMC) from cancer patients produced high NO levels. We hypothesized that NO producing MDSC in tumor-bearing hosts would inhibit DC antigen presentation. Antigen presentation from DCs to CD4+ T cells (T cell receptor transgenic OT-II) was measured via a [3H]-thymidine incorporation proliferation assay. MDSC from melanoma tumor models decreased the levels of proliferation more than pancreatic cancer derived MDSC. T cell proliferation was restored when MDSC were treated with inhibitors of inducible nitric oxide synthase (L-NAME and NCX-4016). A NO donor inhibited OT II T cell receptor recognition of OT II specific tetramers, thus serving as a direct measure of NO inhibition of antigen presentation. Our group has previously demonstrated that STAT1 nitration also mediates MDSC inhibitory effects on immune cells. Therefore, a novel liquid chromatography-tandem mass spectrometry assay demonstrated that nitration of the STAT1-Tyr701 occurs in PBMC derived from both pancreatic cancer and melanoma patients.

Background: Up to 50% of the adult human sinoatrial node (SAN) is composed of dense connective tissue. Cardiac diseases including heart failure (HF) may increase fibrosis within the SAN pacemaker complex, leading to impaired automaticity and conduction of electric activity to the atria. Unlike the role of cardiac fibroblasts in pathologic fibrotic remodeling and tissue repair, nothing is known about fibroblasts that maintain the inherently fibrotic SAN environment. Methods: Intact SAN pacemaker complex was dissected from cardioplegically arrested explanted nonfailing hearts (non-HF; n=22; 48.7±3.1 years of age) and human failing hearts (n=16; 54.9±2.6 years of age). Connective tissue content was quantified from Masson trichrome–stained head-center and center-tail SAN sections. Expression of extracellular matrix proteins, including collagens 1 and 3A1, CILP1 (cartilage intermediate layer protein 1), and POSTN (periostin), and fibroblast and myofibroblast numbers were quantified by in situ and in vitro immunolabeling. Fibroblasts from the central intramural SAN pacemaker compartment (≈10×5×2 mm 3 ) and right atria were isolated, cultured, passaged once, and treated ± transforming growth factor β1 and subjected to comprehensive high-throughput next-generation sequencing of whole transcriptome, microRNA, and proteomic analyses. Results: Intranodal fibrotic content was significantly higher in SAN pacemaker complex from HF versus non-HF hearts (57.7±2.6% versus 44.0±1.2%; P + /vimentin + /CD31 – (cluster of differentiation 31) fibroblasts were higher in HF SAN. Vimentin + /α-smooth muscle actin + /CD31 – myofibroblasts along with increased interstitial POSTN expression were found only in HF SAN. RNA sequencing and proteomic analyses identified unique differences in mRNA, long noncoding RNA, microRNA, and proteomic profiles between non-HF and HF SAN and right atria fibroblasts and transforming growth factor β1–induced myofibroblasts. Specifically, proteins and signaling pathways associated with extracellular matrix flexibility, stiffness, focal adhesion, and metabolism were altered in HF SAN fibroblasts compared with non-HF SAN. Conclusions: This study revealed increased SAN-specific fibrosis with presence of myofibroblasts, CILP1, and POSTN-positive interstitial fibrosis only in HF versus non-HF human hearts. Comprehensive proteotranscriptomic profiles of SAN fibroblasts identified upregulation of genes and proteins promoting stiffer SAN extracellular matrix in HF hearts. Fibroblast-specific profiles generated by our proteotranscriptomic analyses of the human SAN provide a comprehensive framework for future studies to investigate the role of SAN-specific fibrosis in cardiac rhythm regulation and arrhythmias.

Histone acetyltransferase 1 (Hat1) catalyzes the acetylation of newly synthesized histone H4 at lysines 5 and 12 that accompanies replication-coupled chromatin assembly. The acetylation of newly synthesized H4 occurs in the cytoplasm and the function of this acetylation is typically ascribed to roles in either histone nuclear import or deposition. Using cell lines from Hat1+/+ and Hat1−/− mouse embryos, we demonstrate that Hat1 is not required for either histone nuclear import or deposition. We employed quantitative proteomics to characterize Hat1-dependent changes in the composition of nascent chromatin structure. Among the proteins depleted from nascent chromatin isolated from Hat1−/− cells are several bromodomain-containing proteins, including Brg1, Baz1A and Brd3. Analysis of the binding specificity of their bromodomains suggests that Hat1-dependent acetylation of H4 is directly involved in their recruitment. Hat1−/− nascent chromatin is enriched for topoisomerase 2α and 2β. The enrichment of topoisomerase 2 is functionally relevant as Hat1−/− cells are hyper-sensitive to topoisomerase 2 inhibition suggesting that Hat1 is required for proper chromatin topology. In addition, our results indicate that Hat1 is transiently recruited to sites of chromatin assembly, dissociating prior to the maturation of chromatin structure.

Cruciferous vegetable intake is associated with reduced risk of bladder cancer, yet mechanisms remain unclear. Cruciferous vegetable isothiocyanates (ITCs), namely sulforaphane (SFN) and erucin (ECN), significantly inhibit histone deacetylase (HDAC) activity in human bladder cancer cells representing superficial to invasive biology (59–83% inhibition with 20 μM, 48 h treatment), and in bladder cancer xenografts (59 ± 3% ECN inhibition). Individual HDACs inhibited by SFN and ECN include HDACs 1, 2, 4 and 6. Interestingly, global acetylation status of histones H3 or H4 remain unaltered. The interplay between HDAC inhibition and modest modulation of AcH3 and AcH4 status is partially explained by decreased histone acetyl transferase activity (48.8 ± 5.3%). In contrast, a significant decrease in phosphorylation status of all isoforms of histone H1 was observed, concomitant with increased phosphatase PP1β and PP2A activity. Together, these findings suggest that ITCs modulate histone status via HDAC inhibition and phosphatase enhancement. This allows for reduced levels of histone H1 phosphorylation, a marker correlated with human bladder cancer progression. Therefore, ITC-mediated inhibition of histone H1 phosphorylation presents a novel direction of research in elucidating epidemiological relationships and supports future food-based prevention strategies. Significance Collectively, our findings suggest that the cruciferous vegetable isothiocyanates: sulforaphane (SFN) and erucin (ECN), impact histones status in bladder cancer cells by modulating specific HDACs and HATs, and enhancing phosphatase activity, resulting in reduction of histone H1 phosphorylation. These findings are significant due to the fact that our previous work positively correlated histone H1 phosphorylation with bladder cancer carcinogenesis and progression. Therefore, we propose that SFN and ECN may inhibit bladder carcinogenesis via epigenetic modulation of gene expression associated with histone H1 phosphorylation. These efforts may elucidate biomarkers useful in epidemiologic studies related to cruciferous vegetable intake and cancer risk or provide intermediate biomarkers for food-based clinical intervention studies in high-risk cohorts.

Label-free quantitative methods are advantageous in bottom-up (shotgun) proteomics because they are robust and can easily be applied to different workflows without additional cost. Both label-based and label-free approaches are routinely applied to discovery-based proteomics experiments and are widely accepted as semiquantitative. Label-free quantitation approaches are segregated into two distinct approaches: peak-abundance-based approaches and spectral counting (SpC). Peak abundance approaches like MaxLFQ, which is integrated into the MaxQuant environment, require precursor peak alignment that is computationally intensive and cannot be routinely applied to low-resolution data. Not limited by these constraints, SpC approaches simply use the number of peptide identifications corresponding to a given protein as a measurement of protein abundance. We show here that spectral counts from multidimensional proteomic data sets have a mean-dispersion relationship that can be modeled in edgeR. Furthermore, by simulating spectral counts, we show that this approach can routinely be applied to large-scale discovery proteomics data sets to determine differential protein expression.

Protein interaction network (PIN) or interactome has been mapped vigorously for the entire genome. We recognize, nonetheless, that such a map could illuminate profound insights had its context been revealed. We describe a scalable protein lableling method that could re-supply natural context back to the map of protein interactome. Genetically encoded fluorescent proteins, position-specific genomic integration and GAL4-responsive expression control enable labeling proteinsA, BandCeach with a either an eGFP, mCherry or NirFP in specified cells of optically transparent animals such asDrosophilaembryos. While following multiple proteins through development and behavior, these labels offer separable pairs of Förster resonance energy transfer between proteinsAandBand proteinsBandC. We test and observe FRET interactions between specific protein pairs controlling cytoskeleton, nuclear signaling and cell polarity. By using our protein labeling method, it will be possible to map protein interaction networkin situ— isPIN.

Replication-coupled chromatin assembly is a very dynamic process that involves not only the replication fork machinery but also chromatin-related factors such as histones, histone chaperones, histone-modifying enzymes, and chromatin remodelers which ensure not only that the genetic information is properly replicated but also that the epigenetic code is reestablished in the daughter cell. Of the histone modifications associated with chromatin assembly, acetylation is the most abundant. Determining how newly synthesized histones get acetylated and what factors affect this modification is vital to understanding how cells manage to properly duplicate the epigenome. Here we describe a combination of the iPOND, quantitative mass spectrometry, and SILAC methodologies to study the protein composition of newly assembled chromatin and the modification state of the associated histones.

Climate change and human pressures are changing the global distribution and the extent of intermittent rivers and ephemeral streams (IRES), which comprise half of the global river network area. IRES are characterized by periods of flow cessation, during which channel substrates accumulate and undergo physico‐chemical changes (preconditioning), and periods of flow resumption, when these substrates are rewetted and release pulses of dissolved nutrients and organic matter (OM). However, there are no estimates of the amounts and quality of leached substances, nor is there information on the underlying environmental constraints operating at the global scale. We experimentally simulated, under standard laboratory conditions, rewetting of leaves, riverbed sediments, and epilithic biofilms collected during the dry phase across 205 IRES from five major climate zones. We determined the amounts and qualitative characteristics of the leached nutrients and OM, and estimated their areal fluxes from riverbeds. In addition, we evaluated the variance in leachate characteristics in relation to selected environmental variables and substrate characteristics. We found that sediments, due to their large quantities within riverbeds, contribute most to the overall flux of dissolved substances during rewetting events (56%–98%), and that flux rates distinctly differ among climate zones. Dissolved organic carbon, phenolics, and nitrate contributed most to the areal fluxes. The largest amounts of leached substances were found in the continental climate zone, coinciding with the lowest potential bioavailability of the leached OM. The opposite pattern was found in the arid zone. Environmental variables expected to be modified under climate change (i.e. potential evapotranspiration, aridity, dry period duration, land use) were correlated with the amount of leached substances, with the strongest relationship found for sediments. These results show that the role of IRES should be accounted for in global biogeochemical cycles, especially because prevalence of IRES will increase due to increasing severity of drying events.

Human touch samples represent a significant portion of forensic DNA casework. Yet, the generally low abundance of genetic material combined with the predominantly extracellular nature of DNA in these samples makes DNA-based forensic analysis exceptionally challenging. Human proteins present in these same touch samples offer an abundant and environmentally-robust alternative. Proteogenomic methods, using protein sequence variants arising from nonsynonymous DNA mutations, have recently been applied to forensic analysis and may represent a viable option looking forward. However, DNA analysis remains the gold standard and any proteomics-based methods would need to consider how DNA could be co-extracted from samples without significant loss. Herein, we describe a simple workflow for the collection, enrichment and fractionation of DNA and protein in latent fingerprint samples. This approach ensures that DNA collected from a latent fingerprint can be analyzed by traditional DNA casework methods, while protein can be proteolytically digested and analyzed via standard liquid chromatography-tandem mass spectrometry-based proteomics methods from the same touch sample. Sample collection from non-porous surfaces (i.e., glass) is performed through the application of an anionic surfactant over the fingermark. The sample is then split into separate DNA and protein fractions following centrifugation to enrich the protein fraction by pelleting skin cells. The results indicate that this workflow permits analysis of DNA within the sample, yet highlights the challenge posed by the trace nature of DNA in touch samples and the potential for DNA to degrade over time. Protein deposited in touch samples does not appear to share this limitation, with robust protein quantities collected across multiple human donors. The quantity and quality of protein remains robust regardless of fingerprint age. The proteomic content of these samples is consistent across individual donors and fingerprint age, supporting the future application of genetically variable peptide (GVP) analysis of touch samples for forensic identification.

The rapid development of mass spectrometry (MS) technologies has solidified shotgun proteomics as the most powerful analytical platform for large-scale proteome interrogation. The ability to map and determine differential expression profiles of the entire proteome is the ultimate goal of shotgun proteomics. Label-free quantitation has proven to be a valid approach for discovery shotgun proteomics, especially when sample is limited. Label-free spectral count quantitation is an approach analogous to RNA sequencing whereby count data is used to determine differential expression. Here we show that statistical approaches developed to evaluate differential expression in RNA sequencing experiments can be applied to detect differential protein expression in label-free discovery proteomics. This approach, termed MultiSpec, utilizes open-source statistical platforms; namely edgeR, DESeq and baySeq, to statistically select protein candidates for further investigation. Furthermore, to remove bias associated with a single statistical approach a single ranked list of differentially expressed proteins is assembled by comparing edgeR and DESeq q-values directly with the false discovery rate (FDR) calculated by baySeq. This statistical approach is then extended when applied to spectral count data derived from multiple proteomic pipelines. The individual statistical results from multiple proteomic pipelines are integrated and cross-validated by means of collapsing protein groups.Spectral count data from shotgun proteomics experiments is semi-quantitative and semi-random, yet a robust way to estimate protein concentration. Tag-count approaches are routinely used to analyze RNA sequencing data sets. This approach, termed MultiSpec, utilizes multiple tag-count based statistical tests to determine differential protein expression from spectral counts. The statistical results from these tag-count approaches are combined in order to reach a final MultiSpec q-value to re-rank protein candidates. This re-ranking procedure is completed to remove bias associated with a single approach in order to better understand the true proteomic differences driving the biology in question. The MultiSpec approach can be extended to multiple proteomic pipelines. In such an instance, MultiSpec statistical results are integrated by collapsing protein groups across proteomic pipelines to provide a single ranked list of differentially expressed proteins. This integration mechanism is seamlessly integrated with the statistical analysis and provides the means to cross-validate protein inferences from multiple proteomic pipelines.

MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression through targeting and suppression of mRNAs. miRNAs have been under investigation for the past twenty years and there is a large breadth of information on miRNAs in diseases such as cancer and immunology. Only more recently have miRNAs shown promise as a mechanism for intervention with respect to diseases of the bone and adipose tissue. In mesenchymal stem cell (MSC) differentiation, alterations in miRNA expression patterns can differentially promote an osteogenic, adipogenic, or myogenic phenotype. This manuscript reviews the current literature with respect to miRNAs in the context of MSC function with a particular focus on novel avenues for the examination of miRNA associated with bone and adipose tissue biology and disease. Specifically we highlight the need for a greater depth of investigation on MSCs with respect to miRNA biogenesis, processing, strand selection, and heterogeneity. We discuss how these mechanisms facilitate both altered miRNA expression and function.

Multiple myeloma (MM) is a hematological malignancy of clonal plasma cells in the bone marrow (BM). The microenvironment plays a key role in MM cell survival and drug resistance through release of soluble factors, expression of adhesion molecules and release of extracellular vesicles (EVs). The aim of this manuscript is to use proteomic profiling of EVs as a tool to identify circulating tumor associated markers in MM patients. First, we characterized the EV protein content obtained from different MM cell lines. Then, we established differences in protein abundance among EVs isolated from MM patient serum and BM and the serum of healthy donors. These data show that the Major Histocompatibility Complex Class I is highly enriched in EVs of MM cell lines and MM patient's serum. Next, we show that CD44 is highly expressed in the EVs isolated from the corticosteroid resistant MM cell line, MM.1R. Furthermore, CD44 was found to be differentially expressed in EVs isolated from newly diagnosed MM patients. Finally through ELISA analysis, we establish the potential of serum CD44 as a predictive biomarker of overall survival. These results support the analysis of EVs as an easily accessible source for MM biomarkers. Biological significance Extracellular vesicles are becoming a research focus due to their roles in cancer cell biology such as immune evasion, therapeutic resistance, proliferation and metastases. While numerous studies of vesicle characterization and biology have been conducted in many cancer models, the role of EV in MM remains relatively unstudied. Here we found that EVs isolated from MM cells are enriched in MHC-1 antigen presenting complex and its binding protein β2-MG, this observation is compatible with the enhanced proteasome activity of MM cells compared to other cancers and the ability of functional MHC-1 to bind and present peptides, generated from protein degradation by the proteasome. Additionally, our experiments show that CD44 is particularly enriched in the EV fraction of corticosteroid resistant MM.1R cells and is differentially expressed in the EV fraction of MM patients. This is of high significance due to the established role of CD44 in adhesion of MM cells to BMSC and induction of IL-6, the primary cytokine for MM cell survival, secretion by the BMSC. Furthermore, ELISA assays for CD44 content from the serum of 254 newly diagnosed MM patients enrolled in a Phase 3 randomized trial show highly variable CD44 levels and those patients with > 280 ng/mL serum CD44 showing a reduced overall survival time. These results suggest the potential use of CD44 as a prognostic biomarker in MM.

Breast cancer was the second leading cause of cancer related mortality for females in 2014. Recent studies suggest histone H1 phosphorylation may be useful as a clinical biomarker of breast and other cancers because of its ability to recognize proliferative cell populations. Although monitoring a single phosphorylated H1 residue is adequate to stratify high-grade breast tumors, expanding our knowledge of how H1 is phosphorylated through the cell cycle is paramount to understanding its role in carcinogenesis. H1 analysis by bottom-up MS is challenging because of the presence of highly homologous sequence variants expressed by most cells. These highly basic proteins are difficult to analyze by LC-MS/MS because of the small, hydrophilic nature of peptides produced by tryptic digestion. Although bottom-up methods permit identification of several H1 phosphorylation events, these peptides are not useful for observing the combinatorial post-translational modification (PTM) patterns on the protein of interest. To complement the information provided by bottom-up MS, we utilized a top-down MS/MS workflow to permit identification and quantitation of H1 proteoforms related to the progression of breast cells through the cell cycle. Histones H1.2 and H1.4 were observed in MDA-MB-231 metastatic breast cells, whereas an additional histone variant, histone H1.3, was identified only in nonneoplastic MCF-10A cells. Progressive phosphorylation of histone H1.4 was identified in both cell lines at mitosis (M phase). Phosphorylation occurred first at S172 followed successively by S187, T18, T146, and T154. Notably, phosphorylation at S173 of histone H1.2 and S172, S187, T18, T146, and T154 of H1.4 significantly increases during M phase relative to S phase, suggesting that these events are cell cycle-dependent and may serve as markers for proliferation. Finally, we report the observation of the H1.2 SNP variant A18V in MCF-10A cells.

Multiple myeloma (MM) is a hematologic malignancy of plasma cells (PCs). In the United States, MM accounts for approximately 1% of all diagnoses and 2% of all cancer-related deaths. Although MM is a treatable disease, most patients eventually relapse, and despite the development of numerous treatment options it is still considered incurable. Mechanisms of communication between MM-PCs and bone marrow microenvironment, including cell-cell contacts and release of pro-survival factors, promote cancer cell survival and drug resistance. Recently, the importance of extracellular vesicles (EVs) as mechanisms of communication between MM cells and other cells in the microenvironment has been reported. In this review, the authors provide the update on the biology and clinical aspects of EVs in MM.

Long non-coding RNAs (lncRNAs) are important regulatory molecules that are implicated in cellular physiology and pathology. In this work, we dissect the functional role of the HOXB-AS3 lncRNA in patients with NPM1-mutated (NPM1mut) acute myeloid leukemia (AML). We show that HOXB-AS3 regulates the proliferative capacity of NPM1mut AML blasts in vitro and in vivo. HOXB-AS3 is shown to interact with the ErbB3-binding protein 1 (EBP1) and guide EBP1 to the ribosomal DNA locus. Via this mechanism, HOXB-AS3 regulates ribosomal RNA transcription and de novo protein synthesis. We propose that in the context of NPM1 mutations, HOXB-AS3 overexpression acts as a compensatory mechanism, which allows adequate protein production in leukemic blasts.