Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
26
datasets available to search
ShareScore release 0.9.0
Dataset results
26 results for “HPLC-MS”
Implementación del proyecto Fortalecimiento de la capacidad instalada del laboratorio de cromatografía líquida, HPLC-MS (Bioanalitics) de la Universidad del Valle, para la investigación en la región pacífico - Valle del Cauca"
<p>Dentro del Plan Estratégico de Desarrollo 2015-2025 de la Universidad del Valle (UNIVALLE)1, se creó el Programa para el Fortalecimiento del Sistema de Laboratorios. De manera complementaria, se plantea crear el sistema de laboratorios articuladores tipo core facilities también llamados laboratorios centralizados, laboratorios articuladores o Laboratorios Estratégicos Compartidos (LEC´s). Este mismo tipo de sistemas de laboratorios ya se encuentran funcionando en otras universidades en Colombia2-5. Para determinar cuál debería ser el primer LEC de la Universidad del Valle, se procedió a hacer una investigación de las necesidades más apremiantes de los grupos de investigación dentro de la Institución, y que también puedan fortalecer las necesidades de la región pacífico desde el centro universitario. Es por ello que con el estudio realizado, se determina que la Universidad cuenta con más de 30 grupos de investigación y más de 15 laboratorios investigando en temas relacionados con biodiversidad, agroindustria, sistemas agropecuarios, alimentos, medio ambiente y salud. Pero la universidad no cuenta con la tecnología necesaria que respalde la realización de investigaciones que permitan la caracterización e identificación de compuestos conocidos y desconocidos en las muestras relacionadas con las áreas anteriormente mencionadas. Para fortalecer la infraestructura tecnológica para el desarrollo de actividades que sirvan a la identificación y caracterización de compuestos (análisis molecular) se propone crear el laboratorio articulador BIOANALITICS. Un laboratorio de uso compartido e interdisciplinario para los grupos de investigación que impactan en los focos Agroindustria y Agropecuario, Salud (farmacia y nutrición), Biodiversidad y Medio Ambiente. BIOANALITICS tendrá como base la compra de un equipo de cromatografía líquida (LC) acoplado a espectrometría de masas de alta resolución (HRMS). Con este trabajo se pretende presentar el desarrollo investigativo que se llevó a cabo desde la propuesta del programa de Fortalecimiento del Sistema de Laboratorios hasta la puesta en marcha del laboratorio bioanalitics financiado por el Sistema General de Regalías con recursos que provienen del fondo de ciencia, tecnología e innovación de las regiones del Cauca, Chocó, Nariño y Valle del Cauca, complementado con recursos propios de la Universidad del Valle, y al mismo tiempo se pretende presentar cómo se proyecta el laboratorio y como plantea su funcionamiento de acuerdo a los principios básicos de los laboratorios tipo core-shell6 Entre los resultados esperados se encuentran la articulación de grupos de investigación en proyectos interdisciplinarios, apoyar los procesos de formación para estudiantes de maestría y doctorado, y tener posgrados competitivos a nivel internacional con atracción de nuevos estudiantes de maestría y doctorado, incluso internacionales, con lo que se espera fomentar las publicaciones de alto impacto, permitiendo el retorno de la diáspora de investigadores colombianos que deseen hacer investigación aplicando estas técnicas analíticas. Se discutirá acerca de los problemas, y los beneficios que se han identificado durante la implementación de Bioanalitics, desde su concepción, hasta la realidad transformada al día de hoy, al igual que la implementación de políticas para la administración, manejo y uso de los laboratorios articuladores dentro del sistema de gestión de calidad de la UNIVALLE.</p>
Proteolytic Profiling of Streptococcal Pyrogenic Exotoxin B (SpeB) by Complementary HPLC-MS Approaches.
<p>Streptococcal pyrogenic exotoxin B (SpeB) is a cysteine protease expressed during group A streptococcal infection that represents a major virulence factor. Although subject to several studies, its role during infection is still under debate, and its proteolytic properties remain insufficiently characterized. Here, we revisited this protease through a set of complementary approaches relying on state of-the-art HPLC-MS methods. After conceiving an efficient protocol to recombinantly express SpeB, the zymogen of the protease and its activation were characterized. Employing proteome-derived peptide libraries, a strong preference for hydrophobic and aromatic residues at P2 alongside negatively charged amino acids at P3′ to P6′ was revealed. To identify relevant in vivo substrates, native proteins were obtained from monocytic secretome and plasma to assess their cleavage under physiological conditions. Besides corroborating our findings concerning specificity, more than 200 cleaved proteins were identified, including proteins of the extracellular matrix, proteins of the immune system, and proteins involved in inflammation. Finally, the cleavage of IgG subclasses was studied in detail. This study precisely depicts the proteolytic properties of SpeB and provides a library of potential host substrates, including their exact cleavage positions, as a valuable source for further research to unravel the role of SpeB during streptococcal infection.</p>
Fig. 7 in Glucosinolate profiles and phylogeny in Barbarea compared to other tribe Cardamineae (Brassicaceae) and Reseda (Resedaceae), based on a library of ion trap HPLC-MS/MS data of reference desulfoglucosinolates
Fig. 7. Levels of major glucosinolates in leaves of first year rosette plants of the Gtype (A) and P-type (B) of Barbarea vulgaris in plants subjected to various challenges or no challenge as control. The contrasting general profile of the types is evident from dominance of BAR in the G-type and EBAR in the P-type. Treatment codes are: Control, un-challenged plants harvested after 7 days; Pieris 3d and Pieris 7d, herbivory by Pieris brassicae larvae until harvest at either day 3 or day 7; Plutella, herbivory by Plutella xylostella for 4 days; CuCl2, spraying of leaves with 10 mM CuCl2 (aq.) followed by recovery for 4 days. Bars represent means, whiskers indicate standard deviation (N = 3 for each group).
Fig. 6 in Glucosinolate profiles and phylogeny in Barbarea compared to other tribe Cardamineae (Brassicaceae) and Reseda (Resedaceae), based on a library of ion trap HPLC-MS/MS data of reference desulfoglucosinolates
Fig. 6. Lack of the aliphatic glucosinolate (GSL) Pren (107) in B. vulgaris and spiking of pure (intact) Pren for establishing the limit of detection. A. Total ion chromatogram for the three dominating peaks in G-type B. vulgaris (dGSL preparation). B. Extracted ion trace for desulfo Pren in the same extract as A, showing lack of detection. C, D, E. Results of serial spiking of the crude extract with serial 10-fold dilutions of Pren before the desulfation procedure, showing linearity also at low levels and ability to detect trace levels.
Fig. 9 in Glucosinolate profiles and phylogeny in Barbarea compared to other tribe Cardamineae (Brassicaceae) and Reseda (Resedaceae), based on a library of ion trap HPLC-MS/MS data of reference desulfoglucosinolates
Fig. 9. Extracted ion HPLC-MS chromatograms of desulfoglucosinolates prepared from glucosinolates (GSLs) in seeds (A–F) or leaves (G) of Reseda luteola and seeds of Reseda odorata (H). The three major peaks (A, B, C) represent PE, IM and BAR, much like many Barbarea spp. Focus on minor peaks (D) allowed conclusive identification of EBAR, confirmed by tR and the characteristic MS2 spectrum. A range of putative derivatives were not detected (E, F), but an unidentified hydroxybutylGSL was present (G), as was a known glycoside in R. odorata.
Fig. 5 in Glucosinolate profiles and phylogeny in Barbarea compared to other tribe Cardamineae (Brassicaceae) and Reseda (Resedaceae), based on a library of ion trap HPLC-MS/MS data of reference desulfoglucosinolates
Fig. 5. MS2 spectra of desulfated glucosinolates (GSLs) confirming the identity of two 2-3homoMet-derived GSLs in C. hirsuta. While the spectrum of desulfo Buen contains only the usual fragments for this type of dGSL (a, [anhydroGlc+Na]+; b, [thioGlc+Na]+), the spectrum of desulfo Peen contains an additional usual fragment (c, [M-anhydroGlc Na]+) and two unusual + fragment ions suggesting a structure-specific cyclization and exchange of O during fragmentation: 201, [gluconolactone Na]+ and 152, [C H NS Na]+. + 6 11 + The unusual fragments can be rationalized as fragment a plus O and fragment c minus O, respectively.
Fig. 3 in Glucosinolate profiles and phylogeny in Barbarea compared to other tribe Cardamineae (Brassicaceae) and Reseda (Resedaceae), based on a library of ion trap HPLC-MS/MS data of reference desulfoglucosinolates
Fig. 3. HPLC-MS chromatograms of desulfoglucosinolates (dGSLs) prepared from glucosinolates (GSLs) in Planodes virginica (A) and Nasturtium officinale (B–C) seeds, showing qualitative similarities and quantitative contrasts. Major peaks (B) from N. officinale revealed many of the same GSLs as in A, but levels of EBAR (40R) were much lower while levels were much higher for the biosynthetic precursor PE (105). A focus on trace peaks from N. officinale (C) revealed sharp peaks representing a range of minor constituents. Due to the closely eluting peaks, the latter chromatograms (B–C) were made by combining extracted ion chromatograms corresponding to [M+Na]+ of the indicated dGSLs. In C, the m/z 366 signal of d105 was omitted to allow visualization of minor coeluting peaks. An asterisk after a peak number indicates tentative identification. HPLC-MS conditions as in Olsen et al. (2016). TIC, total ion chromatogram, EIC, extracted ion chromatogram.
Fig. 4 in Glucosinolate profiles and phylogeny in Barbarea compared to other tribe Cardamineae (Brassicaceae) and Reseda (Resedaceae), based on a library of ion trap HPLC-MS/MS data of reference desulfoglucosinolates
Fig. 4. HPLC-MS chromatogram of desulfoglucosinolates (dGSLs) prepared from glucosinolates (GSLs) from leaves (A) and petioles (B) of horseradish (Armoracia rusticana), focusing on trace level GSLs. The chromatograms were made by combining extracted ion chromatograms corresponding to [M+Na]+ of the indicated dGSLs, from analyses that were much overloaded with respect to the dominating dGSL d107 from Pren. In panel A, an insert shows magnification of the chromatogram from 5.2 to 5.8 min. Neither suggested BAR nor EBAR were detectable. In panel B, only extracted ion chromatograms of m/z 382 (BAR/EBAR), 352 (BZ), 366 (PE), 380 (3PP), 394 (4PB), 408 (5PP at high tR and 6mSOh at 5.4 min), 422 (7mSOh) and 436 (8mSOo) are included. Unlabeled trace peaks did not exhibit a combination of tR and m/z suitable for any of the mentioned candidates. HPLC conditions as in Olsen et al. (2016). Panel A depicts analysis of the Copenhagen garden accession; panel B from the naturalized population at Lake Fures¨o. An asterisk after a peak number indicates tentative identification.
Fig. 2 in Glucosinolate profiles and phylogeny in Barbarea compared to other tribe Cardamineae (Brassicaceae) and Reseda (Resedaceae), based on a library of ion trap HPLC-MS/MS data of reference desulfoglucosinolates
Fig. 2. Detection of thioglucose-acylated glucosinolates (GSLs) by HPLC-MS of desulfated derivatives prepared from the indicated species. (A–C) Analysis of seeds of Arabidopsis thaliana Col-0 used as reference material for characteristic GSLs. Shown are the total ion chromatogram (A) and extracted ion chromatograms for sodium adducts of desulfo 6′Bz 4BzOb (d125) (B) and desulfo 6′Bz 4mSb (d127) (C). (D–F) Analysis of seeds of Barbarea grayi for dominating GSLs. Shown are total ion chromatograms (D), and extracted ion chromatograms for sodium adducts of desulfo 6'iF BAR (d131S) (E) and desulfo 6'iF PE (d129) (F).
Fig. 1 in Glucosinolate profiles and phylogeny in Barbarea compared to other tribe Cardamineae (Brassicaceae) and Reseda (Resedaceae), based on a library of ion trap HPLC-MS/MS data of reference desulfoglucosinolates
Fig. 1. MS2 spectra of pairs of desulfoglucosinolates with and without a side chain double bond. Four short chain desulfoglucosinolates were investigated, including Na+ adducts of all (A–D) and in addition H+ adducts of the methylthio substituted (E–F), as indicated in each spectrum. The desulfo derivative of the putative 9mSn ([89]), poorly characterized in the literature, was also investigated (G).
Fig. 5. Proposed fragmentation scheme for 2-aminobenzoyl O in Chemotaxonomic investigation of Apocynaceae for retronecine-type pyrrolizidine alkaloids using HPLC-MS/MS
Fig. 5. Proposed fragmentation scheme for 2-aminobenzoyl O-β-D-apiofuranosyl-(1 → 6)- β-D-glucopyranoside (m/z 432.15 when protonated) in positive ion mode ESI to m/z 300.11, 138.06, and 120.04 fragments.
Fig. 2 in Chemotaxonomic investigation of Apocynaceae for retronecine-type pyrrolizidine alkaloids using HPLC-MS/MS
Fig. 2. Common esterification patterns between necic acids and necine bases observed in retronecine-type PAs.
Data from: Comparative authentication of Hypericum perforatum herbal products using DNA metabarcoding, TLC and HPLC-MS
Many herbal products have a long history of use, but there are increasing concerns over product efficacy, safety and quality in the wake of recent cases exposing discrepancies between labeling and constituents. When it comes to St. John's wort (Hypericum perforatum L.) herbal products, there is limited oversight, frequent off-label use and insufficient monitoring of adverse drug reactions. In this study, we use amplicon metabarcoding (AMB) to authenticate 78 H. perforatum herbal products and evaluate its ability to detect substitution compared to standard methods using thin-layer chromatography (TLC) and high performance liquid chromatography coupled with mass spectrometry (HPLC-MS). Hypericum perforatum was detected in 68% of the products using AMB. Furthermore, AMB detected incongruence between constituent species and those listed on the label in all products. Neither TLC nor HPLC-MS could be used to unambiguously identify H. perforatum. They are accurate methods for authenticating presence of the target compounds, but have limited efficiency in detecting infrageneric substitution and do not yield any information on other plant ingredients in the products. Random post-marketing AMB of herbal products by regulatory agencies could raise awareness among consumers of substitution and would provide an incentive to manufacturers to increase quality control from raw ingredients to commercialized products.
HPLC-MS data collection results
<p>HPLC-MS数据采集结果</p>
Fig. 4 in Chemotaxonomic investigation of Apocynaceae for retronecine-type pyrrolizidine alkaloids using HPLC-MS/MS
Fig. 4. Fragmentation patterns according to esterification pattern in retronecine-type PAs.
Fig. 1 in Chemotaxonomic investigation of Apocynaceae for retronecine-type pyrrolizidine alkaloids using HPLC-MS/MS
Fig. 1. Varied necine base structures found in pyrrolizidine alkaloids.
Fig. 3 in Chemotaxonomic investigation of Apocynaceae for retronecine-type pyrrolizidine alkaloids using HPLC-MS/MS
Fig. 3. Subtypes of lycopsamine-type PAs containing a retronecine core.
Data from: Comparative authentication of Hypericum perforatum herbal products using DNA metabarcoding, TLC and HPLC-MS
Open the record for dataset details and reuse information.
Figure 2 from: Logoyda L (2020) HPLC-MS/MS method development for the quantitative determination of nifedipine for Caco-2 permeability assay. Pharmacia 67(2): 83-88. https://doi.org/10.3897/pharmacia.67.e50159
Figure 2 Gradient curve.
Figure 3 from: Logoyda L (2020) HPLC-MS/MS method development for the quantitative determination of nifedipine for Caco-2 permeability assay. Pharmacia 67(2): 83-88. https://doi.org/10.3897/pharmacia.67.e50159
Figure 3 Typical multiple reaction monitoring chromatograms of nifedipine.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.