Liquid Chromatography Fractionation Research Articles

Basic pH reversed-phase liquid chromatography (bRPLC) in combination with tip-based strong cation exchange (SCX-Tip), ReST, an efficient approach for large-scale cross-linked peptide analysis

Chemical cross-linking in combination with mass spectrometry (XL-MS) has emerged as a useful method for structural elucidation of proteins and protein complexes. Due to the low stoichiometry of cross-linked peptides, a specific enrichment method is always necessary prior to LC-MS/MS analysis, especially for complex samples. Currently, strong cation exchange chromatography (SCX), size exclusion chromatography (SEC), and affinity tag-based enrichment are among the widely used enrichment strategies. Herein, we present a two-dimensional strategy combining basic pH reversed-phase liquid chromatography (bRPLC) fractionation and tip-based SCX (SCX-Tip) enrichment, termed ReST, for the characterization of cross-linked peptides. We revealed the unbiased separation effects of the bRPLC in the cross-linked peptide fractionation. We optimized the enrichment conditions of SCX-Tip using well-designed cross-linked peptides. Taking advantage of the high resolution of bRPLC separation and the high enrichment efficiency of SCX-Tip, we were able to identify 43.6% more cross-linked peptides than the conventional SCX approach. The presented ReST is a simple and efficient approach for proteome-scale protein-protein interaction studies.

Proteomic Analysis of Histone Crotonylation Suggests Diverse Functions in Myzus persicae.

Myzus persicae is one of the most important economic pests of cultivated crops. In the present study, we used an integrated approach involving high-performance liquid chromatography fractionation, affinity enrichment, and mass spectrometry-based proteomics to carry out a comprehensive proteomic analysis of lysine crotonylation in M. persicae. Altogether, 7530 lysine crotonylation sites were identified in 2452 protein groups. Intensive bioinformatic analyses were then carried out to annotate those lysine crotonylated targets identified in terms of Gene Ontology annotation, domain annotation, subcellular localization, Kyoto Encyclopedia of Genes and Genomes pathway annotation, functional cluster analysis, etc. Analysis results showed that lysine-crotonylated proteins were involved in many biological processes, such as the amino acid metabolism, aminoacyl-tRNA biosynthesis, spliceosomes, ribosomes, and so forth. Notably, the interaction network showed that there were 199 crotonylated proteins involved in the amino acid metabolism and numerous crotonylation targets associated with fatty acid biosynthesis and degradation. The results provide a system-wide view of the entire M. persicae crotonylome and a rich data set for functional analysis of crotonylated proteins in this economically important pest, which marks an important beginning for the further research.

Double Trap Interface: A novel gas interface for high throughput analysis of biomedical samples by AMS

Although Accelerator Mass Spectrometry (AMS) offers unparalleled sensitivity by investigating the fate of 14C-labeled compounds within the organism, its widespread use in ADME (absorption, distribution, metabolism, excretion) studies is limited. Conventional approaches based on Liquid Scintillation Counting (LSC) are still preferred, in particular because of complexity and costs associated with AMS measurements. Progress made over the last decade towards more compact AMS systems increased the interest in a combustion-based AMS approach allowing the analysis of samples in gaseous form. Thus, a novel gas Double Trap Interface (DTI) was designed, providing high sample throughput for the analysis of biomedical samples. DTI allows the coupling of an Elemental Analyzer (EA) for sample combustion to the hybrid ion source of a MICADAS (MIni CArbon DAting System) AMS system. The performance was evaluated in two studies through the analysis of more than 1000 samples from 14C-labeled biomatrices and fractions collected after liquid chromatography (LC). The covered activity ranged from 1 to 1000 mBq/g for labeled biomatrices and from 1 to 10000 mBq/g(C) for LC fractions. The implemented routine allows automated measurements requiring less than 5 min per sample (12–13 analyses per hour) without the need for sample conversion to graphite.

A uniform sample preparation procedure for gas chromatography combustion isotope ratio mass spectrometry for all human doping control relevant anabolic steroids using online 2/3-dimensional liquid chromatography fraction collection

Androgenic anabolic steroids are the most misused substances in sports because of their performance-enhancing effects. Often synthetic analogues of endogenously present steroids are administered. To determine their endogenous or exogenous origin, Gas Chromatography Combustion Isotope Ratio Mass Spectrometry (GC-C-IRMS) is used in the field of doping control. Compounds subjected to IRMS analysis must be interference-free, with liquid chromatography fraction collection (HPLC-FC) being the crucial clean-up step. However, this clean-up is challenging, particularly for compounds present at low concentrations in samples with pronounced matrix effects. The compounds of interests for IRMS analyses in doping control are testosterone (T) and its main metabolites (androsterone, etiocholanolone, 5α-androstane-3α,17β-diol, 5β-androstane-3α,17β-diol), epitestosterone, 19-norandrosterone (19-NA), boldenone (B) and its main metabolite (BM), formestane (F) and 6αOH-androstenedione (6aOHADION). Currently, the available methods only deal with a selection of the above-mentioned compounds. Some of these compounds (e.g., 19-NA, B, BM, 6aOHADION) are present in very low concentrations, requiring an extensive and dedicated sample clean-up, and this makes it challenging to develop a universal clean-up procedure. Many of these methods require different and multiple offline HPLC-FC setups, which are labour-intensive and time-consuming. That is problematic during, e.g., large sports events, where reporting time is limited (e.g., 72 h). Therefore, in the current work, we developed a uniform online 2D/3D HPLC-FC method, capable of purifying all relevant target compounds in a single run, leading to the fastest clean-up procedure so far (i.e., 31 min for T and its main metabolites; 46 min for 19-NA, F and 6aOHADION; 48 min for B and BM).

Identifikasi Senyawa Marker Dominan Ekstrak Daun Sirih Hitam dan Kuantifikasi Berdasarkan Perbedaan Lokasi Tanam

It has been revealed that the benefits of black betel leaf extract have created an opportunity for the black betel plant to be commercialized. The several benefits of black betel leaf extract are antimicrobial, anti-inflammatory, cytotoxic, and antioxidant. The extraction method uses maceration techniques. Identification of active markers as antimicrobials (Streptococcus mutans, Streptococcus sanguinis, Candida albicans) begins with Bioautography Thin Layer Chromatography (TLC), for isolation from macerated extracts followed by Vacuum Liquid Chromatography Fractionation (KCV), conventional Column Subfraction (KK), Layer Chromatography Thin Preparative (TLC). Quantification of marker compounds using a Thin Layer Chromatography (TLC) Scanner. Samples of black betel leaf (P. betle L. var Nigra) were collected from Samarinda (East Kalimantan), Wonosobo (Central Java), Godean (Yogyakarta), Banyuwangi (East Java) in June 2020. The results of the TLC test for bioautography of 70% ethanol extract and the ethanol fraction of 96% black betel leaf showed that the active spot of ethanol extract 70% for antibacterial activity on Streptococcus mutans Atcc 25175 and Streptococcus sanguinis Atcc 10556 was Rf 0.729 cm, the active spot of the ethanol fraction 96% for the activity of the fungus Candida albicans ATTC 10231; Rf 0.486 cm. Purification using TLC multi eluent with eluent I Hexane: Ethyl Acetate (7: 3) as non polar eluent and eluent II Chloroform: Ethyl Acetate (4: 1) as polar eluent on different TLC plates. The results obtained in the form of a single stain with Rf = 0.4 in eluent I and Rf = 0.73 in eluent II. The results of measuring the levels of the dominant marker compound using a TLC scanner showed that the highest marker compound area was from betel leaf grown in the Godean area (Yogyakarta) with the number 29869.4.

Expeditious Extraction of Histones from Limited Cells or Tissue Samples and Quantitative Top-Down Proteomic Analysis.

Histones are the primary protein component of chromatin and are involved in virtually all DNA-templated processes. Histones are abundantly post-translationally modified by a variety of chromatin-modifying machinery. These post-translational modifications (PTMs) are recognized by a range of "reader" proteins, which recruit additional proteins to specific locations on chromatin and impart precise and powerful effects on gene regulation. Each PTM typically exerts a positive or negative effect on transcription, and recent studies have shown that histone PTMs function in a combinatorial histone code: that is, histone PTMs function in combination to exert precise DNA-templated regulation. Thus, there is a need to identify and understand proteoforms, or unambiguously defined single protein molecules with all combinations of modifications. Top-down proteomics is currently the only viable approach for identifying and quantitating histone proteoforms, and mass spectrometry instruments have become sufficiently powerful to perform these quantitative analyses in a robust and high-throughput fashion. These recent innovations have enabled new experimental directions in chromatin research but have also introduced temporal and other constraints. This has led us to develop the protocols described here, which increase throughput, reduce sample requirements, and maintain robust quantitation. Although originally designed for high-throughput quantitative top-down proteomics, the protocols described here are useful for a wide range of chromatin biology applications. Starting with small amounts of cells or tissue, we describe two basic protocols for exceptionally rapid and efficient nuclei isolation, acid extraction of histones, and high-performance liquid chromatography fractionation of histones into histone families. We additionally describe the quantitative top-down proteomic analysis of histone H4 proteoforms. © 2021 Wiley Periodicals LLC. Basic Protocol 1: Nuclei isolation and acid extraction of histones from mammalian cells in culture/tissues Basic Protocol 2: HPLC fractionation of histones and histone H4 HPLC-MS/MS Support Protocol: Preparation of intact H3 histone tails by Glu-C digestion.

High-Throughput Profiling of Proteome and Posttranslational Modifications by 16-Plex TMT Labeling and Mass Spectrometry.

Mass spectrometry (MS)-based proteomic profiling of whole proteome and protein posttranslational modifications (PTMs) is a powerful technology to measure the dynamics of proteome with high throughput and deep coverage. The reproducibility of quantification benefits not only from the fascinating developments in high-performance liquid chromatography (LC) and high-resolution MS with enhanced scan rates but also from the invention of multiplexed isotopic labeling strategies, such as the tandem mass tags (TMT). In this chapter, we introduce a 16-plex TMT-LC/LC-MS/MS protocol for proteomic profiling of biological and clinical samples. The protocol includes protein extraction, enzymatic digestion, PTM peptide enrichment, TMT labeling, and two-dimensional reverse-phase liquid chromatography fractionation coupled with tandem mass spectrometry (MS/MS) analysis, followed by computational data processing. In general, more than 10,000 proteins and tens of thousands of PTM sites (e.g., phosphorylation and ubiquitination) can be confidently quantified. This protocol provides a general protein measurement tool, enabling the dissection of protein dysregulation in any biological samples and human diseases.

Euphorbia graminea Jacq. (Euphorbiaceae): The antimicrobial assessment of the extract and fractions of the leaves

This study was carried out as a result of the belief that certain medicinal plants have antimicrobial activity against pathogenic bacteria and fungi species, hence the in vitro antimicrobial activity of the extract and fractions of Euphorbia graminea was performed against bacteria (Staphyloccocus aureus, Escherichia coli, Pseudomonas aeruginosa) and fungal (Candida albican) non-clinical isolates. The methanol extract of Euphorbia graminea was fractionated via solvent-solvent partitioning and vacuum liquid chromatographic techniques and the corresponding fractions were tested for phytochemicals and were biologically tested against the organisms employing the agar well diffusion method. While the extract and partitioned fractions were tested at concentrations between 4.69-300 mg/mL, the vlc subfractions were tested at 12.50-200 mg/mL against the organisms. The MIC of the active vlc subfractions was also tested (9.38-37.5 mg/mL). The alkaloids as well as glycosides, tannins, terpenes and steroids were detected among the extracts and fractions of E. graminea. The extract showed mild activities against the test organisms with the highest zone of inhibition of 7.00 mm recorded at 300 mg/mL against S.aureus. The activities of both extract at 300 mg/mL, showed notable increase against the organisms used, with zones of inhibition of the aqueous extract been 10.50 and 9.50mm and for the chloroform extract, 16.50 and 13.05mm (S. aureus and E. coli respectively). The vlc sub-fraction 6-8 (C) among the other subfractions was more potent against S. aureus, E. coli and C. albican as 16.50, 12.00 and 0.50 mm zones of inhibition were recorded at 100 mg/mL. The zones of inhibition against these organisms later increased to 20.00, 18.50 and 15.00 mm at 200 mg/mL. This study has highlighted the fact that the plant E. graminea has antimicrobial activity which occurs more in the partitioned chloroform and its chromatographic vacuum liquid subfraction (6-8) that gave the highest activity. However, in order to isolate the active biological components and to determine their safety in drug production, further studies are needed.

Quantitative shotgun proteome analysis by direct infusion.

Liquid chromatography mass spectrometry (LC-MS) delivers sensitive peptide analysis for proteomics, but the methodology requires extensive analysis time, hampering throughput. Here, we demonstrate that using gas-phase peptide separation instead of LC enables fast proteome analysis. Using Direct Infusion – Shotgun Proteome Analysis (DI-SPA) by data-independent acquisition mass spectrometry (DIA-MS), we demonstrate the targeted quantification of over 500 proteins within minutes of MS data collection (~3.5 proteins/second). We show the utility of this technology to perform a complex multifactorial proteome study of interactions between nutrients, genotype, and mitochondrial toxins in a collection of cultured human cells. More than 45,000 quantitative protein measurements from 132 samples were achieved in only 4.4 hours of MS data collection. Enabling fast, unbiased proteome quantification without LC, DI-SPA offers an approach to boosting throughput critical to drug and biomarker discovery studies that require analysis of thousands of proteomes.

Anti-Snake Venom, Anti-Arthritic and Cytotoxic Activities of Tectona grandis L. f. Stem Bark (Lamiaceae)

Tectona grandis L. f. (Lamiaceae) is famous for timber production and has been used in traditional medicine for treating bronchitis, liver-related roubles, urinary discharge amongst other diseases. Methanol extract of the stem bark was investigated for in vivo antiophidian assay against Bitis arietans and Naja nigricollis. Also, the extract and chromatographic fractions were subjected to cytotoxicity tests using tadpole model and antiarthritic assay by proteinase inhibition. Chromatography of crude methanol extract afforded three highly polar vacuum liquid chromatography (VLC) fractions (BVLC-1, BVLC-2 and BVLC-3). BVLC-2 further gave four semi-pure uncharacterized isolates (I, II, III, IV). Only BVLC-2 and BVLC-3 were cytotoxic at 10 - 80 mg/ml, with BVLC-3 being most potent (100% mortality, LC50 40 mg/ml). Concentration-dependent proteinase enzyme inhibition (24 - 71%) at 200 - 1000 μg/ml of BVLC-2 was observed, and this was less (IC50 659.24 μg/ml) than the activity of the standard drug, acetyl salicylic acid. However, neutralization of B. arietans and N. nigricollis snake venoms using methanol extract was not dose-dependent, but the extract atthe least dose, 50 mg/kg offered better protection (75%) on Naja nigricollis envenomed-mice in 48 h. Its activity was comparable to that of the positive antivenin tested at 0.2 mg/kg. These findings justify the folkloric use of T. grandis in the treatment of snake bites, arthritic conditions, and oxidative stress-induced diseases.
 Keywords: Tectona grandis, methanol extract, anti-snake venom activity, tadpole cytotoxicity, anti-arthritic activity

Identification of proteins associated with development of metastasis from cutaneous squamous cell carcinomas (cSCCs) via proteomic analysis of primary cSCCs.

Cutaneous squamous cell carcinoma (cSCC) is one of the most common cancers capable of metastasizing. Proteomic analysis of cSCCs can provide insight into the biological processes responsible for metastasis, as well as future therapeutic targets and prognostic biomarkers. To identify proteins associated with development of metastasis in cSCC. A proteomic-based approach was employed on 105 completely excised, primary cSCCs, comprising 52 that had metastasized (P-M) and 53 that had not metastasized at 5years post-surgery (P-NM). Formalin-fixed, paraffin-embedded cSCCs were microdissected and subjected to proteomic profiling after one-dimensional (1D), and separately two-dimensional (2D), liquid chromatography fractionation. A discovery set of 24 P-Ms and 24 P-NMs showed 144 significantly differentially expressed proteins, including 33 proteins identified via both 1D and 2D separation, between P-Ms and P-NMs. Several differentially expressed proteins were also associated with survival in SCCs of other organs. The findings were verified by multiple reaction monitoring on six peptides from two proteins, annexin A5 (ANXA5) and dolichyl-diphosphooligosaccharide-protein glycosyltransferase noncatalytic subunit (DDOST), in the discovery group and validated on a separate cohort (n=57). Increased expression of ANXA5 and DDOST was associated with reduced time to metastasis in cSCC and decreased survival in cervical and oropharyngeal cancer. A prediction model using ANXA5 and DDOST had an area under the curve of 0·93 (confidence interval 0·83-1·00), an accuracy of 91·2% and higher sensitivity and specificity than cSCC staging systems currently in clinical use. This study highlights that increased expression of two proteins, ANXA5 and DDOST, is significantly associated with poorer clinical outcomes in cSCC.

Chromatographic analysis of bio-oil formed in fast pyrolysis of lignocellulosic biomass

Abstract Fast pyrolysis of lignocellulosic biomass is one of the most promising methods of the production of renewable fuels. However, an optimization of the conditions of bio-oil production is not possible without comprehensive analysis of the composition of formed products. There are several methods for the determination of distribution of products formed during thermal decomposition of biomass with chromatography being the most versatile among them. Although, due to the complex structure of bio-oil (presence of hundreds chemical compounds with different chemical character), an interpretation of the obtained chromatograms is not an easy task. Therefore, the aim of this work is to present an application of different chromatographic methods to the analysis of the composition of the mixture of products formed in high temperature decomposition of lignocellulosic feedstock. It includes pyrolysis-gas chromatography/mass spectrometry (Py-GC/MS), two dimensional gas (GC x GC) or liquid chromatography (LC x LC) and initial fractionation of bio-oil components. Moreover, the problems connected with the analysis of bio-oils formed with the use of various fast pyrolysis reactors and capabilities of multivariate analysis are discussed.

Growth Hormone and Insulin-like Growth Factor-I Molecular Weight Isoform Responses to Resistance Exercise Are Sex-Dependent.

Purpose: To determine if acute resistance exercise-induced increases in growth hormone (GH) and insulin-like growth factor-I (IGF-I) were differentially responsive for one or more molecular weight (MW) isoforms and if these responses were sex-dependent.Methods: College-aged men (n = 10) and women (n = 10) performed an acute resistance exercise test (ARET; 6 sets, 10 repetition maximum (10-RM) squat, 2-min inter-set rest). Serum aliquots from blood drawn Pre-, Mid-, and Post-ARET (0, +15, and +30-min post) were processed using High Performance Liquid Chromatography (HPLC) fractionation and pooled into 3 MW fractions (Fr.A: >60; Fr.B: 30–60; Fr.C: <30 kDa).Results: We observed a hierarchy of serum protein collected among GH fractions across all time points independent of sex (Fr.C > Fr.A > Fr.B, p ≤ 0.03). Sex × time interactions indicated that women experienced earlier and augmented increases in all serum GH MW isoform fraction pools (p < 0.05); however, men demonstrated delayed and sustained GH elevations (p < 0.01) in all fractions through +30-min of recovery. Similarly, we observed a sex-independent hierarchy among IGF-I MW fraction pools (Fr.A > Fr.B > Fr.C, p ≤ 0.01). Furthermore, we observed increases in IGF-I Fr. A (ternary complexes) in men only (p ≤ 0.05), and increases in Fr.C (free/unbound IGF-I) in women only (p ≤ 0.05) vs. baseline, respectively.Conclusions: These data indicate that the processing of GH and IGF-I isoforms from the somatotrophs and hepatocytes are differential in their response to strenuous resistance exercise and reflect both temporal and sex-related differences.

High-throughput and Deep-proteome Profiling by 16-plex Tandem Mass Tag Labeling Coupled with Two-dimensional Chromatography and Mass Spectrometry.

Isobaric tandem mass tag (TMT) labeling is widely used in proteomics because of its high multiplexing capacity and deep proteome coverage. Recently, an expanded 16-plex TMT method has been introduced, which further increases the throughput of proteomic studies. In this manuscript, we present an optimized protocol for 16-plex TMT-based deep-proteome profiling, including protein sample preparation, enzymatic digestion, TMT labeling reaction, two-dimensional reverse-phase liquid chromatography (LC/LC) fractionation, tandem mass spectrometry (MS/MS), and computational data processing. The crucial quality control steps and improvements in the process specific for the 16-plex TMT analysis are highlighted. This multiplexed process offers a powerful tool for profiling a variety of complex samples such as cells, tissues, and clinical specimens. More than 10,000 proteins and posttranslational modifications such as phosphorylation, methylation, acetylation, and ubiquitination in highly complex biological samples from up to 16 different samples can be quantified in a single experiment, providing a potent tool for basic and clinical research.

Integrated analysis of ultra-deep proteomes in cortex, cerebrospinal fluid and serum reveals a mitochondrial signature in Alzheimer\u2019s disease

BackgroundBased on amyloid cascade and tau hypotheses, protein biomarkers of different Aβ and tau species in cerebrospinal fluid (CSF) and blood/plasma/serum have been examined to correlate with brain pathology. Recently, unbiased proteomic profiling of these human samples has been initiated to identify a large number of novel AD biomarker candidates, but it is challenging to define reliable candidates for subsequent large-scale validation.MethodsWe present a comprehensive strategy to identify biomarker candidates of high confidence by integrating multiple proteomes in AD, including cortex, CSF and serum. The proteomes were analyzed by the multiplexed tandem-mass-tag (TMT) method, extensive liquid chromatography (LC) fractionation and high-resolution tandem mass spectrometry (MS/MS) for ultra-deep coverage. A systems biology approach was used to prioritize the most promising AD signature proteins from all proteomic datasets. Finally, candidate biomarkers identified by the MS discovery were validated by the enzyme-linked immunosorbent (ELISA) and TOMAHAQ targeted MS assays.ResultsWe quantified 13,833, 5941, and 4826 proteins from human cortex, CSF and serum, respectively. Compared to other studies, we analyzed a total of 10 proteomic datasets, covering 17,541 proteins (13,216 genes) in 365 AD, mild cognitive impairment (MCI) and control cases. Our ultra-deep CSF profiling of 20 cases uncovered the majority of previously reported AD biomarker candidates, most of which, however, displayed no statistical significance except SMOC1 and TGFB2. Interestingly, the AD CSF showed evident decrease of a large number of mitochondria proteins that were only detectable in our ultra-deep analysis. Further integration of 4 cortex and 4 CSF cohort proteomes highlighted 6 CSF biomarkers (SMOC1, C1QTNF5, OLFML3, SLIT2, SPON1, and GPNMB) that were consistently identified in at least 2 independent datasets. We also profiled CSF in the 5xFAD mouse model to validate amyloidosis-induced changes, and found consistent mitochondrial decreases (SOD2, PRDX3, ALDH6A1, ETFB, HADHA, and CYB5R3) in both human and mouse samples. In addition, comparison of cortex and serum led to an AD-correlated protein panel of CTHRC1, GFAP and OLFM3. In summary, 37 proteins emerged as potential AD signatures across cortex, CSF and serum, and strikingly, 59% of these were mitochondria proteins, emphasizing mitochondrial dysfunction in AD. Selected biomarker candidates were further validated by ELISA and TOMAHAQ assays. Finally, we prioritized the most promising AD signature proteins including SMOC1, TAU, GFAP, SUCLG2, PRDX3, and NTN1 by integrating all proteomic datasets.ConclusionsOur results demonstrate that novel AD biomarker candidates are identified and confirmed by proteomic studies of brain tissue and biofluids, providing a rich resource for large-scale biomarker validation for the AD community.

Identifying unknown metabolites using NMR-based metabolic profiling techniques.

Metabolic profiling of biological samples provides important insights into multiple physiological and pathological processes but is hindered by a lack of automated annotation and standardized methods for structure elucidation of candidate disease biomarkers. Here we describe a system for identifying molecular species derived from nuclear magnetic resonance (NMR) spectroscopy-based metabolic phenotyping studies, with detailed information on sample preparation, data acquisition and data modeling. We provide eight different modular workflows to be followed in a recommended sequential order according to their level of difficulty. This multi-platform system involves the use of statistical spectroscopic tools such as Statistical Total Correlation Spectroscopy (STOCSY), Subset Optimization by Reference Matching (STORM) and Resolution-Enhanced (RED)-STORM to identify other signals in the NMR spectra relating to the same molecule. It also uses two-dimensional NMR spectroscopic analysis, separation and pre-concentration techniques, multiple hyphenated analytical platforms and data extraction from existing databases. The complete system, using all eight workflows, would take up to a month, as it includes multi-dimensional NMR experiments that require prolonged experiment times. However, easier identification cases using fewer steps would take 2 or 3 days. This approach to biomarker discovery is efficient and cost-effective and offers increased chemical space coverage of the metabolome, resulting in faster and more accurate assignment of NMR-generated biomarkers arising from metabolic phenotyping studies. It requires a basic understanding of MATLAB to use the statistical spectroscopic tools and analytical skills to perform solid phase extraction (SPE), liquid chromatography (LC) fraction collection, LC-NMR-mass spectroscopy and one-dimensional and two-dimensional NMR experiments.

Antagonistic activity towards the androgen receptor independent from natural sex hormones in human milk samples from the Norwegian HUMIS cohort

In this paper, we investigated the possible presence of endocrine disrupting chemicals (EDCs) based on measuring the total estrogenic and androgenic activity in human milk samples. We used specific bioassays for analysis of the endocrine activity of estrogens and estrogen-like EDCs and androgens and androgen-like EDCs and developed a separation method to evaluate the contribution from natural hormones in comparison to that of EDCs to total endocrine activities. We extracted ten random samples originating from the Norwegian HUMIS biobank of human milk and analyzed their agonistic or antagonistic activity using the ERα- and AR CALUX® bioassays. The study showed antagonistic activity towards the androgen receptor in 8 out of 10 of the assessed human milk samples, while 2 out of 10 samples showed agonistic activity for the ERα. Further investigations demonstrated anti-androgenic activity in the polar fraction of 9 out of 10 samples while no apolar extracts scored positive. The culprit chemicals causing the measured antagonistic activity in AR CALUX was investigated through liquid chromatography fractionation coupled to bioanalysis and non-target screening involving UHPLC-Q-TOF-MS/MS, using a pooled polar extract. The analysis revealed that the measured anti-androgenic biological activity could not be explained by the presence of endogenous hormones nor their metabolites. We have demonstrated that human milk of Norwegian mothers contained anti-androgenic activity which is most likely associated with the presence of anthropogenic polar EDCs without direct interferences from natural sex hormones. These findings warrant a larger scale investigation into endocrine biological activity in human milk, as well as exploring the chemical sources of the activity and their potential effects on health of the developing infant.

Decorative Magnolia Plants: A Comparison of the Content of Their Biologically Active Components Showing Antimicrobial Effects.

Magnolia plants are used both as food supplements and as cosmetic and medicinal products. The objectives of this work consisted of preparing extracts from leaves and flowers of eight Magnolia plants, and of determining concentrations of magnolol (1 to 100 mg·g−1), honokiol (0.11 to 250 mg·g−1), and obovatol (0.09 to 650 mg·g−1), typical neolignans for the genus Magnolia, in extracts made by using a methanol/water (80/20) mixture. The tested Magnolia plants, over sixty years old, were obtained from Průhonický Park (Prague area, Czech Republic): M. tripetala MTR 1531, M. obovata MOB 1511, and six hybrid plants Magnolia × pruhoniciana, results of a crossbreeding of M. tripetala MTR 1531 with M. obovata MOB 1511. The identification of neolignans was performed by HRMS after a reversed-phase high-performance liquid chromatography (RP-HPLC) fractionation of an extract from M. tripetala MTR 1531. The highest concentrations of neolignans were found in the flowers, most often in their reproductive parts, and obovatol was the most abundant in every tested plant. The highest concentrations of neolignans were detected in parent plants, and lower concentrations in hybrid magnolias. Flower extracts from the parent plants M. tripetala MTR 1531 and M. obovata MOB 1511, flower extracts from the hybrid plants Magnolia × pruhoniciana MPR 0271, MPR 0151, and MPR 1531, and leaf extract from the hybrid plant Magnolia × pruhoniciana MPR 0271 inhibited growth of Staphylococcus aureus.

Quantitative Proteomics Analysis Indicates That Upregulation of lncRNA HULC Promotes Pathogenesis of Glioblastoma Cells.

PurposeGlioblastoma (GBM) is an aggressive central nervous system (CNS) cancer and a serious threat to human health. The long noncoding RNA (lncRNA) HULC has been implicated in GBM, but the molecular mechanism is uncertain. This study used quantitative proteomic analysis for global identification of HULC-regulated proteins in glioblastoma cells and identification of potential biomarkers.Materials and MethodsqRT-PCR was used to determine the expression of HULC in U87 cells stably transfected with HULC or an empty vector (control). The CCK-8 assay, transwell assay, and wound-scratch assay were used to measure cell proliferation, invasion, and migration. Quantitative proteomics using Tandem Mass Tag (TMT) labeling, high-performance liquid chromatography (HPLC) fractionation, and liquid chromatography–mass spectrometry (LC-MS/MS) analysis were used to identify differentially expressed proteins (DEPs). Screened proteins were validated by parallel reaction monitoring (PRM) and Western blotting.ResultsOverexpression of HULC led to increased cell proliferation, invasion, and migration. HULC overexpression also led to significant upregulation of 37 proteins and downregulation of 78 proteins. Bioinformatics analysis indicated these proteins had roles in cellular component, biological process, and molecular function. PRM results of 8 of these proteins (PTK2, TNC, ITGAV, LASP1, MAPK14, ITGA1, GNA13, RRAS) were consistent with the LC-MS/MS and Western blotting results.ConclusionThe results of present study suggest that lncRNA HULC promotes GBM cell proliferation, invasion, and migration by regulating RRAS expression, suggesting that RRAS may be a potential biomarker or therapeutic target for this cancer.

Development and validation of a fast gas chromatography combustion isotope ratio mass spectrometry method for the detection of epiandrosterone sulfate in urine.

In doping control, to confirm the exogenous origin of exogenously administered anabolic androgenic steroids (AAS), a gas chromatography combustion isotope ratio mass spectrometry (GC-C-IRMS) analysis is performed. Recently published work suggests that epiandrosterone sulfate (EpiAS) is a promising IRMS target compound for the detection of AAS, capable of prolonging the detection window. However, EpiAS is only excreted in urine in its sulfoconjugated form, while all other IRMS target compounds are excreted glucuronidated, meaning that EpiAS cannot be incorporated in the existing IRMS methods. A separate extensive sample preparation needs to be performed on this compound with a different hydrolysis and extraction procedure and a different liquid chromatography (LC) clean-up. The current work presents a new, fast, and easy to implement EpiAS IRMS method. The approach was based on the direct GC analysis of non-hydrolyzed EpiAS, making the solid phase extraction, hydrolysis, and acetylation step redundant. Sample preparation consisted of a simple liquid-liquid extraction, followed by LC fraction collection. A population study was performed to check compliance with the criteria drafted by the World Anti-Doping Agency (WADA). To verify the applicability of the developed approach, the method was applied to the samples of four administration studies (i.e. dehydroepiandrosterone (DHEA), testosterone gel (T gel), androstenedione (ADION), and intramuscular testosterone undecanoate. In contrast to previously published data, the strength of EpiAS as the target compound and the prolongation of the detection window in comparison with the conventional IRMS target compounds was less pronounced.