UPS1
Universal Proteomics Standard Set
Protein Mass Spectrometry Calibration Standard
Sinónimos:
Standard Set
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UNSPSC Code:
12161503
EC Number:
232-650-8
NACRES:
NA.24
Form:
ready-to-use solution
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Permítanos ayudarleNombre del producto
Universal Proteomics Standard Set, Protein Mass Spectrometry Calibration Standard
form
ready-to-use solution
quality
Protein Mass Spectrometry Calibration Standard
technique(s)
mass spectrometry (MS): suitable
storage temp.
−20°C
Quality Level
Categorías relacionadas
Application
The Universal Proteomics Standard (UPS) Set is intended to standardize and/or evaluate mass spectrometric (e.g., LC-MS/MS, MALDI-TOF-MS, etc.) and electrophoretic analysis conditions prior to the analysis of complex protein samples. Potential uses include:
- Bracketing critical experimental datasets for confirming the robustness of analysis methods
- Comparison of MS or other proteomic data that are generated in different labs using a variety of analytical strategies and instruments
- Identifying limitations of proteomics analysis systems and search algorithms
- An external reference to assist with the evaluation of data derived from poorly defined samples
Features and Benefits
Discover the Benefits for Yourself!
- Test the power of your analytical strategy
- Troubleshoot and optimize your analytical protocol
- Confirm system suitability before analyzing critical samples
- Normalize analytical results day to day or lab to lab
General description
The Universal Proteomics Standard (UPS) Set was developed in collaboration with the Association of Biomolecular Resource Facilities (ABRF) Proteomics Standards Research Group (sPRG). This protein mixture was extensively evaluated and reported under the direction of ABRF′s sPRG during a comprehensive 2005/2006 study. The findings of the study were presented at the ABRF 2006 and US HUPO 2006 conferences.
Los componentes del kit también están disponibles por separado
Referencia del producto
Descripción
SDS
- T6567Trypsin from porcine pancreas, Proteomics Grade, BioReagent, Dimethylated 20 μg
signalword
Danger
Hazard Classifications
Acute Tox. 4 Oral - Eye Dam. 1 - Repr. 1B - Resp. Sens. 1 - Skin Irrit. 2 - STOT SE 3
target_organs
Respiratory system
Clase de almacenamiento
6.1C - Combustible acute toxic Cat.3 / toxic compounds or compounds which causing chronic effects
wgk
WGK 3
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David L Tabb et al.
Journal of proteome research, 9(2), 761-776 (2009-11-20)
The complexity of proteomic instrumentation for LC-MS/MS introduces many possible sources of variability. Data-dependent sampling of peptides constitutes a stochastic element at the heart of discovery proteomics. Although this variation impacts the identification of peptides, proteomic identifications are far from
Stephane Houel et al.
Journal of proteome research, 9(8), 4152-4160 (2010-06-29)
A complicating factor for protein identification within complex mixtures by LC/MS/MS is the problem of "chimera" spectra, where two or more precursor ions with similar mass and retention time are co-sequenced by MS/MS. Chimera spectra show reduced scores due to
Matthew The et al.
Nature communications, 11(1), 3234-3234 (2020-06-28)
In shotgun proteomics, the analysis of label-free quantification experiments is typically limited by the identification rate and the noise level in the quantitative data. This generally causes a low sensitivity in differential expression analysis. Here, we propose a quantification-first approach
Christian J Koehler et al.
Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry, 25(1), 61-66 (2019-11-02)
Proteolytic digestion prior to LC-MS analysis is a key step for the identification of proteins. Digestion of proteins is typically performed with trypsin, but certain proteins or important protein sequence regions might be missed using this endoproteinase. Only few alternative
Amanda G Paulovich et al.
Molecular & cellular proteomics : MCP, 9(2), 242-254 (2009-10-28)
Optimal performance of LC-MS/MS platforms is critical to generating high quality proteomics data. Although individual laboratories have developed quality control samples, there is no widely available performance standard of biological complexity (and associated reference data sets) for benchmarking of platform
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