Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Cyclophilin B function elucidated by electrochemical sensors

ABSTRACT: We have investigated the function of CypB through negative ionization high resolution LCMS and examined the purity of a CypB protein with intact mass analyzes on a Q Exactive mass spectrometer.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Benjamin C Orsburn

PROVIDER: MSV000089498 | MassIVE | Thu May 19 17:00:00 BST 2022

REPOSITORIES: MassIVE

ACCESS DATA

Json Xml

Publications

Human Cyclophilin B Nuclease Activity Revealed via Nucleic Acid-Based Electrochemical Sensors.

Clark Vincent V Waters Kelly K Orsburn Ben B Bumpus Namandjé N NN Kundu Nandini N Sczepanski Jonathan T JT Ray Partha P Arroyo-Currás Netzahualcóyotl N

Angewandte Chemie (International ed. in English) 20221006 45

Human cyclophilin B (CypB) is oversecreted by pancreatic cancer cells, making it a potential biomarker for early-stage disease diagnosis. Our group is motivated to develop aptamer-based assays to measure CypB levels in biofluids. However, human cyclophilins have been postulated to have collateral nuclease activity, which could impede the use of aptamers for CypB detection. To establish if CypB can hydrolyze electrode-bound nucleic acids, we used ultrasensitive electrochemical sensors to measure ...[more]

PMID: 35999181

Similar Datasets

Identification of proteins from vacuoles of red algae

Project description:Vacuoles and lysosomes are single-membrane-bound organelles involved in diverse functions such as intracellular digestion and storage or secretion of metabolites. To understand their origin, evolution and fundamental features, the identification of proteins comprising these compartments in missing links would be invaluable. So, we isolated the vacuoles from Cyanidioschyzon merolae, which is considered to be one of the most primitive photosynthetic eukaryotes, and identified 46 proteins by matrix-assisted laser desorption/ionization time of flight-mass spectrometry. Keywords: peptide mass fingerprinting, MALDI-TOF

2009-09-01 | GSE12042 | GEO

GNPS - Carnitine Heart Slices Positive Mode_452019

Project description:Heart Slices were extracted from mice and examined in positive mode on C8 column using Q Exactive LCMS untargeted run.

2019-04-05 | MSV000083665 | GNPS

GNPS - Carnitine Blood Plasma Samples- Acute and Chronic Stage - Positive Mode

Project description:Blood plasma samples were extracted from mice and examined in positive mode on Polar C-18 Column using Q Exactive LCMS untargeted run.

2019-06-27 | MSV000084016 | GNPS

Non-covalently associated peptides are observed during liquid chromatography-mass spectrometry and affect cross-link analyses

Project description:Cross-Linking/mass spectrometry draws structural information out of covalently linked peptide pairs. When these links do not match to previous structural models they may indicate changes of protein conformation. Unfortunately, such links can also be the result of experimental errors or artefacts. Here we describe the observation of non-covalently associated peptides during liquid chromatography-mass spectrometry analysis which can easily be misidentified as cross-linked. Strikingly, they often mismatch to the protein structure or may falsely suggest protein homo-dimerization. Non-covalently associated peptides presumably form during ionization and can be distinguished from cross-linked peptides by observing co-elution of the corresponding linear peptides in MS1, as well as the presence of the individual peptide fragments in mixed MS2 spectra. Interestingly, non-covalently associated peptides seem sensitive to ionization source design as we see them more prevalently on a Q Exactive than on an Orbitrap Velos mass spectrometer. Finally we show how more disruptive ionization settings such as moderate in-source fragmentation suppresses their presence.

2019-01-25 | PXD010895 | Pride

DNA methylation-based classification of sinonasal tumors [Proteomics data]

Project description:This dataset includes raw label-free mass spectrometry proteomics data of different sinonasal tumor entities as well as normal sinonasal tissue. 72 samples were processed on a Q Exactive HF-X instrument coupled to an easy nanoLC 1200 system using one microgram of peptides and an 110 minutes gradient.

| EGAD00010002381 | EGA

Spatial Multi-omics Reveals the Heterogeneity of Tumor Microenvironment in the OSF-Associated OSCC

Project description:Oral submucous fibrosis (OSF) is one of the most common precancerous malignant orders (PMO) with high rates exacerbating into oral squamous cell carcinoma (OSCC), mostly occurred in patients with chewing betel-nut habits in Southeast Asia and Pacific region. However, the spatial characteristics and heteogeneities of tumor microenvironment (TME) in OSF-associated OSCC still remains unclear. Here, we characterized the spatiotemporal changes of OSF-associated OSCC at different malignant states by performing 10x Visium Spatial Transcriptomics (ST) sequencing and airflow-assisted desorption electrospray ionization-mass spectrometry imaging (AFADESI-MSI) analysis.

2024-03-05 | GSE220978 | GEO

Proteome profiling in APP/PS1 mice brain and modulation by tocotrienol-rich fraction

Project description:This study examined the proteome profile in the hippocampus, medial prefrontal cortex, and striatum of APPswe/PS1dE9 transgenic mice (APP/PS1) model of Alzheimer’s disease compared to wild-type mice. The effect of tocotrienol-rich fraction (TRF), a mixture of vitamin E analogs derived from palm oil supplementation on the proteome profile of APP/PS1 mice hippocampus, medial prefrontal cortex, and striatum was also investigated. The analysis was performed using ultrahigh-performance liquid chromatography coupled with Q Exactive HF Orbitrap mass spectrometry. This study was in hoped to understand the mechanisms of Alzheimer’s disease at proteome level, and pre-emptive activity of TRF to combat the disease.

2019-12-06 | PXD011068 | Pride

ID4 function antagonizes OLIG1 and OLIG2 to suppressive aggressive glioma

Project description:The basic helix-loop-helix proteins Olig1 and Olig2 are expressed in high grade, aggressive human glioblastoma multiformes (GBMs). Here we investigated genetic mechanisms regulating Olig1/2 function during gliomagenesis. Although Olig2 function is necessary for early-aggressive tumor formation in a genetically relevant model of classic GBMs with intact p53 function, late-onset gliomas do eventually form. Using an unbiased approach, we identified Id4, encoding a negative HLH protein, as a gene target potently repressed by Olig2 in glioma progenitors. Although Id4 is thought to antagonize proneural genes involved in differentiation, we report a paradoxical role for Id4 in glioma. Genetic deletion of Id4 converts Olig2-/- gliomas to the early-aggressive form, and conversely, overexpression of Id4 inhibits intact Olig2 and prevents even late-onset tumors. Olig1 overexpression is sufficient for gliomagenesis in an Id4-dependent manner. Together, these findings indicate that gliomagenic factors Olig1 and Olig2 are opposed by Id4 function, which acts as tumor suppressor in p53-intact gliomas.

2018-01-02 | GSE44151 | GEO

Hepatic phosphorylation of transcription factor SREBP-1a interferes with gene regulation and peroxisomal function

Project description:The key lipid metabolism transcription factor sterol regulatory element-binding protein (SREBP)-1a integrates gene regulatory effects of hormones, cytokines, nutrition and metabolites as lipids, glucose or cholesterol via stimuli specific phosphorylation by different MAPK cascades. We have formerly reported the systemic impact of phosphorylation in transgenic mouse models with liver-specific overexpression of the N-terminal transcriptional active domain of SREBP-1a (alb-SREBP-1a) or a MAPK kinase phosphorylation sites deficient variant (alb-SREBP-1a∆P; (S63A, S117A, T426V)), respectively. Here we investigated the molecular basis of the systemic observation in holistic hepatic gene expression analyses and lipid degrading organelles involved in the pathogenesis of metabolic syndrome, i.e. peroxisomes, by 2D-DIGE and mass spectrometry analyses. Although alb-SREBP-1a mice develop a severe phenotype with visceral adipositas and hepatic lipid accumulation featuring a fatty liver, the hepatic differential gene expression and alterations in peroxisomal protein patterns compared to control mice were surprisingly relative low. In contrast, phosphorylation site deficient alb-SREBP-1a∆P mice, protected from hepatic lipid accumulation phenotype, showed gross alteration in hepatic gene expression and peroxisomal proteome. Further knowledge based analyzes revealed that overexpression of SREBP-1a favored mainly acceleration in lipid metabolism and indicated a regular insulin signaling, whereas disruption of SREBP-1a phosphorylation resulted in massive alteration of cellular processes including signs for loss of lipid metabolic targets. These results could be the link to a disturbed lipid metabolism that overall resembles a state of insulin resistance.

2018-03-30 | GSE110569 | GEO

Rapid and Deep Proteomes by Faster Sequencing on a Benchtop Quadrupole Ultra-High-Field Orbitrap Mass Spectrometer

Project description:The faster sequencing speed available on the latest Q Exactive HF mass spectrometer is investigated and evaluated by four different acquisition methods and benchmarked across three generations of Q Exactive instruments. Also the instrument capabilities for offline high pH reversed-phase peptide fractionation and single-shot phosphoproteomics are evaluated.

2014-10-31 | PXD001305 | Pride

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data