Targeted and Discovery Proteomics
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At present, strategies for proteomics research can be divided into discovery proteomics and targeted proteomics. Discovery proteomics is more concerned with protein screening and dynamics, while targeted proteomics focuses more on detecting target proteins/peptides to achieve absolute quantification. https://www.creative-proteomics.com/ngpro/targeted-proteomics.html
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Proteomics, definatio , general concept, signficance
INTRODUCTION
GENERAL CONCEPT
WHY PROTEIOMIC NECESERY?
WHAT PROTEOMIC CAN ANSWER?
PRTEOMICS- ANALYSIS AND IDENTIFICATION OF PROTEIN
TWO-DIMENSIONAL SDS-PAGE
MASS SPECTROMETERS
SIGNIFICANCE OF STUDY AN ITS IMPORTANCE
APPLICATIONS
CHALLENGES
CONCLUSIONS
REFERENCES
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Protein qualitative analysis based on mass spectrometry explores protein expression within organisms. Mass spectrometry offers highly efficient, robust, and accurate results and is one of the core technologies for proteomic research. Protein identification is a common topic for biochemistry research, and mass spectrometry is considered one of the most useful techniques that solve this issue. Two major strategies that are widely used for protein identification by mass spectrometry are MALDI-TOF-based protein fingerprinting and LC-MS/MS-based peptide sequencing. Meanwhile, LC-MS/MS reserved higher sensitivity and ability than MALDl-TOF and can accurately identify multiple protein components from a single sample. https://www.creative-proteomics.com/services/protein-identification.htm
Proteomics
Proteomics is the study of the proteome, which is the entire set of proteins expressed by a genome, cell, tissue or organism. This document discusses several techniques used in proteomics including 2D gel electrophoresis, mass spectrometry, and protein databases. It provides examples of applications such as biomarker identification for disease diagnosis and drug target discovery. Limitations include the complexity of proteomes and no single technique being adequate for complete analysis. Overall, proteomics techniques help further our understanding of protein structure, function and interactions to gain insights into biological processes and diseases.
Proteomics
The document discusses the field of proteomics, which is the large-scale study of proteins, including their functions and structures. It defines proteomics and describes several areas within it, such as functional proteomics, expressional proteomics, and structural proteomics. It outlines typical proteomics experiments and some key methods used, including two-dimensional electrophoresis, mass spectrometry, and protein-protein interaction prediction methods like phylogenetic profiling.
Theoretical evaluation of shotgun proteomic analysis strategies; Peptide obse...
This document discusses evaluating different strategies for shotgun proteomic analysis through theoretical modeling. It develops a peptide observability function based on mouse proteomic data to predict how observable peptides are by LC-MS/MS. This function is applied to theoretically digested mouse proteins using different proteases and separation techniques to evaluate their combinations and the separation profiles achieved. The results suggest SAX/trypsin and IEF/trypsin are favorable combinations that provide good separation.
proteomics
proteomics introduction
types of proteomics
objectives
protein structure
procedure of proteomics
proteomics techniques
STRUCTURAL GENOMICS, FUNCTIONAL GENOMICS, COMPARATIVE GENOMICS
Structural genomics is a field that aims to determine the 3D structures of all proteins encoded by a genome. It involves determining structures on a large scale using techniques like X-ray crystallography and NMR. This allows identification of novel protein folds and potential drug targets. Comparative genomics compares genomic features between organisms and provides insights into evolution and conserved sequences and functions. It is a key tool in fields like medicine and agriculture.
Proteomics
Proteomics is the study of the complete set of proteins expressed in an organism under particular conditions. It aims to understand protein expression in response to changing conditions like disease. Tools in proteomics include cell lysis, fractionation, protein concentration and quantification, digestion, and peptide cleanup prior to mass spectrometry analysis. Key techniques discussed are molecular techniques like SAGE, separation techniques like gel electrophoresis and chromatography, and protein identification techniques like mass spectrometry.
Recommended
Proteomics, definatio , general concept, signficance
INTRODUCTION
GENERAL CONCEPT
WHY PROTEIOMIC NECESERY?
WHAT PROTEOMIC CAN ANSWER?
PRTEOMICS- ANALYSIS AND IDENTIFICATION OF PROTEIN
TWO-DIMENSIONAL SDS-PAGE
MASS SPECTROMETERS
SIGNIFICANCE OF STUDY AN ITS IMPORTANCE
APPLICATIONS
CHALLENGES
CONCLUSIONS
REFERENCES
Protein Qualitative Analysis Services
Protein qualitative analysis based on mass spectrometry explores protein expression within organisms. Mass spectrometry offers highly efficient, robust, and accurate results and is one of the core technologies for proteomic research. Protein identification is a common topic for biochemistry research, and mass spectrometry is considered one of the most useful techniques that solve this issue. Two major strategies that are widely used for protein identification by mass spectrometry are MALDI-TOF-based protein fingerprinting and LC-MS/MS-based peptide sequencing. Meanwhile, LC-MS/MS reserved higher sensitivity and ability than MALDl-TOF and can accurately identify multiple protein components from a single sample. https://www.creative-proteomics.com/services/protein-identification.htm
Proteomics
Proteomics is the study of the proteome, which is the entire set of proteins expressed by a genome, cell, tissue or organism. This document discusses several techniques used in proteomics including 2D gel electrophoresis, mass spectrometry, and protein databases. It provides examples of applications such as biomarker identification for disease diagnosis and drug target discovery. Limitations include the complexity of proteomes and no single technique being adequate for complete analysis. Overall, proteomics techniques help further our understanding of protein structure, function and interactions to gain insights into biological processes and diseases.
Proteomics
The document discusses the field of proteomics, which is the large-scale study of proteins, including their functions and structures. It defines proteomics and describes several areas within it, such as functional proteomics, expressional proteomics, and structural proteomics. It outlines typical proteomics experiments and some key methods used, including two-dimensional electrophoresis, mass spectrometry, and protein-protein interaction prediction methods like phylogenetic profiling.
Theoretical evaluation of shotgun proteomic analysis strategies; Peptide obse...
This document discusses evaluating different strategies for shotgun proteomic analysis through theoretical modeling. It develops a peptide observability function based on mouse proteomic data to predict how observable peptides are by LC-MS/MS. This function is applied to theoretically digested mouse proteins using different proteases and separation techniques to evaluate their combinations and the separation profiles achieved. The results suggest SAX/trypsin and IEF/trypsin are favorable combinations that provide good separation.
proteomics
proteomics introduction
types of proteomics
objectives
protein structure
procedure of proteomics
proteomics techniques
STRUCTURAL GENOMICS, FUNCTIONAL GENOMICS, COMPARATIVE GENOMICS
Structural genomics is a field that aims to determine the 3D structures of all proteins encoded by a genome. It involves determining structures on a large scale using techniques like X-ray crystallography and NMR. This allows identification of novel protein folds and potential drug targets. Comparative genomics compares genomic features between organisms and provides insights into evolution and conserved sequences and functions. It is a key tool in fields like medicine and agriculture.
Proteomics
Proteomics is the study of the complete set of proteins expressed in an organism under particular conditions. It aims to understand protein expression in response to changing conditions like disease. Tools in proteomics include cell lysis, fractionation, protein concentration and quantification, digestion, and peptide cleanup prior to mass spectrometry analysis. Key techniques discussed are molecular techniques like SAGE, separation techniques like gel electrophoresis and chromatography, and protein identification techniques like mass spectrometry.
Proteomics in VSC for crop improvement programme
Proteomics techniques such as gel electrophoresis and mass spectrometry are used to separate and identify proteins. Two-dimensional gel electrophoresis separates proteins by size and charge, while MALDI-TOF mass spectrometry relies on mass spectrometry to analyze proteins and peptides. Protein-protein interactions can be studied using techniques like yeast two-hybrid systems and co-immunoprecipitation. Databases such as UniProt, PDB, and KEGG provide information on protein sequences, structures, and pathways.
Proteomics
Proteomics aims to comprehensively describe the biological systems of a species by obtaining a sufficient density of observations on all the proteins expressed by a cell or tissue. Initial goals were to rapidly identify all proteins expressed, but this has yet to be achieved for any species due to the large and complex nature of proteomes. Various technologies are used to study proteins including gene ontology, biochemical analysis, tagging, mass spectrometry, and protein interaction mapping to better understand protein functions, localizations, modifications, and connections within cellular pathways and systems.
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Proteomics is the study of the proteome, which is the complete set of proteins expressed by a genome or cell. It uses technologies like mass spectrometry and genetic analysis to study protein activities, modifications, localization, and interactions. Proteomic techniques can identify disease-related proteins and biomarkers for diagnosis before clinical symptoms appear. Two key proteomic techniques are gel electrophoresis, which separates proteins by charge and size, and mass spectrometry, which identifies proteins with high accuracy. Proteomics has applications in disease diagnosis, structural analysis, and functional studies of protein networks.
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This document describes a study comparing data acquired from data-independent LC-MS to data acquired from data-dependent LC-MS/MS. The study analyzed mixtures of four proteins alone and with a complex E. coli protein digest. Each sample was run in triplicate by both acquisition methods. The data-independent LC-MS provided more comprehensive detection of precursor and product ions than the combined data-dependent LC-MS/MS experiments. Over 90% of masses detected by LC-MS/MS were also detected by data-independent LC-MS at the correct retention times with similar fragmentation patterns. The data-independent LC-MS was able to detect more components than the individual data-dependent LC-MS/MS experiments.
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This document provides an overview of protein sequence analysis techniques. It discusses using databases like UniProt to search unknown protein sequences and analyze BLAST search results. It also describes tools for predicting protein structure and function from sequence, including secondary structure prediction, homology modeling, and multiple sequence alignments to identify evolutionary relationships between proteins. The goal of protein sequence analysis is to characterize proteins in silico and infer their potential structure and function based on sequence similarity and evolutionary relationships to other known proteins.
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A chiral substance can rotate its polarization plan when plane-polarized light passes through it. This phenomenon is called "optical rotation." Here is the reason for the optical rotation: when the left-handed light and the right-handed light that make up the plane polarized light propagate through a chiral material, their refractive indices are different (nR≠nL). Therefore, the propagation speed of the circularly polarized light in the two directions in the chira material is different (vR≠vL), which leads to the rotation of the polarization plane. https://www.creative-proteomics.com/pronalyse/the-principle-of-circular-dichroism.html
Three Methods for Protein Sequencing
Edman Degradation is one of the N-terminal amino acid sequence analysis methods for peptide chains/proteins sequencing. The protein is reacted with PTC under weakly basic conditions and then treated with an acid to free the amino-terminal residue of the peptide chain in the form of PTH-AA for subsequent analysis. Peptide Mapping analysis is an effective method for rapidly localizing protein sequences and is a commonly used strategy in protein identification. The method uses mass spectrometry for peptide analysis and compares the obtained spectra with a protein database to obtain amino acid information. De Novo Protein Sequencing is a method based on the enzymatically cleaved peptides that exhibit regular fragmentation in mass spectrometry to obtain amino acid information from the mass differences in regular mass spectral peaks. https://www.creative-proteomics.com/services/proteomics-service.htm
Why Choose Untargeted Metabolomics
Untargeted metabolomics is mainly conducted to comprehensively understand biochemical information of metabolism in organisms. Using liquid chromatography-mass spectrometry technology(LC-MS), almost all metabolites under certain physiological or other specific conditions can be qualitatively and quantitatively analyzed for the identification of different metabolites. To the greatest extent, untargeted metabolomics reflects the multiple dynamic responses of living organisms to external stimuli, pathophysiological changes, and gene mutations in metabolite levels in vivo, offering a new perspective for disease diagnosis, pathological research, new drug development, drug toxicology, and other studies. https://metabolomics.creative-proteomics.com/untargeted-metabolomics-service.htm
Untargeted Metabolomics Solutions
Untargeted metabolomics is mainly conducted to comprehensively understand biochemical information of metabolism in organisms. Using liquid chromatography-mass spectrometry technology, almost all metabolites under certain physiological or other specific conditions can be qualitatively and quantitatively analyzed for the identification of different metabolites. https://www.creative-proteomics.com/services/untargeted-metabolomics.htm
Untargeted Metabolomics Solutions
Untargeted metabolomics is mainly conducted to comprehensively understand biochemical information of metabolism in organisms. Using liquid chromatography-mass spectrometry technology, almost all metabolites under certain physiological or other specific conditions can be qualitatively and quantitatively analyzed for the identification of different metabolites. https://www.creative-proteomics.com/services/untargeted-metabolomics.htm
Bioinformatics Analysis of Metabolomics Data
Metabolomics is a study of a complete set of metabolites in a specific cell or organism. Metabolomics analysis aims at simultaneous identification and quantitative analysis of intracellular metabolites. Since metabolomics is focused on a whole set of metabolites, it reflects the metabolomics activity of the organism, and hence, allows researchers to explore the biological system. An Accurate study on metabolomics relies on sensitive and sophisticated analytic platforms and bioinformatics analysis systems. With years of developing and refining our bioinformatics analysis system, Creative Proteomics offers comprehensive bioinformatics support to our clients’ research! https://www.creative-proteomics.com/services/bioinformatic-analysis-for-metabolomics-study.htm
Protein Network Analysis
Proteins play a key role in molecular recognition and are at the core of all biological processes. They can interact with other components of the cell, such as small molecular metabolites, nucleic acids, membranes and other proteins to build supramolecular components and carefully design molecular machines that perform various functions, from chemical catalysis, mechanical work to signal transmission And adjustment. So far, large-scale protein-protein interactions have been identified, and all the generated data is collected in a special database, which can create large-scale protein interaction networks. Like metabolism or genetic/epigenetic networks, the study of PPIs can help us understand the mechanisms of signal transduction, transmembrane transport, cell metabolism and other biological processes through stable or transient, covalent or non-covalent interactions. https://www.creative-proteomics.com/services/protein-protein-interaction-networks.htm
Why Choose Untargeted Metabolomics
Untargeted metabolomics is mainly conducted to comprehensively understand biochemical information of metabolism in organisms. Using liquid chromatography-mass spectrometry technology, almost all metabolites under certain physiological or other specific conditions can be qualitatively and quantitatively analyzed for the identification of different metabolites. https://www.creative-proteomics.com/services/untargeted-metabolomics.htm
Proteomics, A Major New Technology for Drug Discovery
Proteomics is a discipline that analyzes the dynamics of protein components, including expression levels and modification states from a holistic perspective, understands the interactions and connections between proteins, reveals the function of proteins and the laws of cell life, and studies all proteins in cells and their behaviours. Creative Proteomics can provide a comprehensive range of proteomics services to help you better conduct research in the drug discovery process, which includes: protein gel and imaging analysis, protein identification, protein quantification, top-down proteomics, peptidomics, post-translational modification analysis, and protein-protein interaction. https://www.creative-proteomics.com/services/protein-gel-and-imaging-analysis.htm
Untargeted Metabolomics
Untargeted metabolomics is mainly conducted to comprehensively understand biochemical information metabolism in organisms. Using liquid chromatography-mass spectrometry technology, almost all metabolites under certain physiological or other specific conditions can be qualitatively and quantitatively analyzed for the identification of different metabolites. https://metabolomics.creative-proteomics.com/untargeted-metabolomics-service.htm
Proteomics and pharmacoproteomics
Proteomics is a discipline that analyzes the dynamics of protein components, including expression levels and modification states from a holistic perspective, understands the interactions and connections between proteins, reveals the function of proteins and the laws of cell life, and studies all proteins in cells and their behaviours. Creative Proteomics can provide a comprehensive range of proteomics services to help you better conduct research in the drug discovery process, which includes: protein gel and imaging analysis, protein identification, protein quantification, top-down proteomics, peptidomics, post-translational modification analysis, and protein-protein interaction. https://www.creative-proteomics.com/services/protein-gel-and-imaging-analysis.htm
More from Creative Proteomics (20)
Protein Drug Characterization in Biopharmaceuticals.pdf
Protein Drug Characterization in Biopharmaceuticals.pdf
Assessment of the Tick Gut Metabolome Composition.pdf
Assessment of the Tick Gut Metabolome Composition.pdf
Untargeted Metabolomics Strategy VS Targeted Metabolomics Strategy.pdf
Untargeted Metabolomics Strategy VS Targeted Metabolomics Strategy.pdf
Proteomics, A Major New Technology for Drug Discovery
Proteomics, A Major New Technology for Drug Discovery
Recently uploaded
11.1 Role of physical biological in deterioration of grains.pdf
Storagedeteriorationisanyformoflossinquantityandqualityofbio-materials.
Themajorcausesofdeteriorationinstorage
•Physical
•Biological
•Mechanical
•Chemical
Storageonlypreservesquality.Itneverimprovesquality.
Itisadvisabletostartstoragewithqualityfoodproduct.Productwithinitialpoorqualityquicklydepreciates
Immersive Learning That Works: Research Grounding and Paths Forward
We will metaverse into the essence of immersive learning, into its three dimensions and conceptual models. This approach encompasses elements from teaching methodologies to social involvement, through organizational concerns and technologies. Challenging the perception of learning as knowledge transfer, we introduce a 'Uses, Practices & Strategies' model operationalized by the 'Immersive Learning Brain' and ‘Immersion Cube’ frameworks. This approach offers a comprehensive guide through the intricacies of immersive educational experiences and spotlighting research frontiers, along the immersion dimensions of system, narrative, and agency. Our discourse extends to stakeholders beyond the academic sphere, addressing the interests of technologists, instructional designers, and policymakers. We span various contexts, from formal education to organizational transformation to the new horizon of an AI-pervasive society. This keynote aims to unite the iLRN community in a collaborative journey towards a future where immersive learning research and practice coalesce, paving the way for innovative educational research and practice landscapes.
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...
Current descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.
Direct Seeded Rice - Climate Smart Agriculture
Direct Seeded Rice - Climate Smart AgricultureInternational Food Policy Research Institute- South Asia Office
PPT on Direct Seeded Rice presented at the three-day 'Training and Validation Workshop on Modules of Climate Smart Agriculture (CSA) Technologies in South Asia' workshop on April 22, 2024.
The cost of acquiring information by natural selection
This is a short talk that I gave at the Banff International Research Station workshop on Modeling and Theory in Population Biology. The idea is to try to understand how the burden of natural selection relates to the amount of information that selection puts into the genome.
It's based on the first part of this research paper:
The cost of information acquisition by natural selection
Ryan Seamus McGee, Olivia Kosterlitz, Artem Kaznatcheev, Benjamin Kerr, Carl T. Bergstrom
bioRxiv 2022.07.02.498577; doi: https://doi.org/10.1101/2022.07.02.498577
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
Context. With a mass exceeding several 104 M⊙ and a rich and dense population of massive stars, supermassive young star clusters
represent the most massive star-forming environment that is dominated by the feedback from massive stars and gravitational interactions
among stars.
Aims. In this paper we present the Extended Westerlund 1 and 2 Open Clusters Survey (EWOCS) project, which aims to investigate
the influence of the starburst environment on the formation of stars and planets, and on the evolution of both low and high mass stars.
The primary targets of this project are Westerlund 1 and 2, the closest supermassive star clusters to the Sun.
Methods. The project is based primarily on recent observations conducted with the Chandra and JWST observatories. Specifically,
the Chandra survey of Westerlund 1 consists of 36 new ACIS-I observations, nearly co-pointed, for a total exposure time of 1 Msec.
Additionally, we included 8 archival Chandra/ACIS-S observations. This paper presents the resulting catalog of X-ray sources within
and around Westerlund 1. Sources were detected by combining various existing methods, and photon extraction and source validation
were carried out using the ACIS-Extract software.
Results. The EWOCS X-ray catalog comprises 5963 validated sources out of the 9420 initially provided to ACIS-Extract, reaching a
photon flux threshold of approximately 2 × 10−8 photons cm−2
s
−1
. The X-ray sources exhibit a highly concentrated spatial distribution,
with 1075 sources located within the central 1 arcmin. We have successfully detected X-ray emissions from 126 out of the 166 known
massive stars of the cluster, and we have collected over 71 000 photons from the magnetar CXO J164710.20-455217.
ESR spectroscopy in liquid food and beverages.pptx
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
Sexuality - Issues, Attitude and Behaviour - Applied Social Psychology - Psyc...
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
The debris of the ‘last major merger’ is dynamically young
The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the
‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor
collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the
MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space,
because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia
DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations
at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based
on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago.
We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative
measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data
1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’
did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within
the last few Gyr, consistent with the body of work surrounding the VRM.
The binding of cosmological structures by massless topological defects
Assuming spherical symmetry and weak field, it is shown that if one solves the Poisson equation or the Einstein field
equations sourced by a topological defect, i.e. a singularity of a very specific form, the result is a localized gravitational
field capable of driving flat rotation (i.e. Keplerian circular orbits at a constant speed for all radii) of test masses on a thin
spherical shell without any underlying mass. Moreover, a large-scale structure which exploits this solution by assembling
concentrically a number of such topological defects can establish a flat stellar or galactic rotation curve, and can also deflect
light in the same manner as an equipotential (isothermal) sphere. Thus, the need for dark matter or modified gravity theory is
mitigated, at least in part.
waterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
The technology uses reclaimed CO₂ as the dyeing medium in a closed loop process. When pressurized, CO₂ becomes supercritical (SC-CO₂). In this state CO₂ has a very high solvent power, allowing the dye to dissolve easily.
8.Isolation of pure cultures and preservation of cultures.pdf
Isolation of pure culture, its various method.
Gadgets for management of stored product pests_Dr.UPR.pdf
Insectsplayamajorroleinthedeteriorationoffoodgrainscausingbothquantitativeandqualitativelosses
Wellprovedthatnogranariescanbefilledwithgrainswithoutinsectsastheharvestedproducecontainegg(or)larvae(or)pupae(or)adultinsectinthembecauseoffieldcarryoverinfestationwhichcannotbeavoidedindevelopingcountrieslikeIndia
Simpletechnologiesfortimelydetectionofinsectsinthestoredproduceandtherebyplantimelycontrolmeasures
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...Advanced-Concepts-Team
Presentation in the Science Coffee of the Advanced Concepts Team of the European Space Agency on the 07.06.2024.
Speaker: Diego Blas (IFAE/ICREA)
Title: Gravitational wave detection with orbital motion of Moon and artificial
Abstract:
In this talk I will describe some recent ideas to find gravitational waves from supermassive black holes or of primordial origin by studying their secular effect on the orbital motion of the Moon or satellites that are laser ranged.Recently uploaded (20)
11.1 Role of physical biological in deterioration of grains.pdf
11.1 Role of physical biological in deterioration of grains.pdf
Immersive Learning That Works: Research Grounding and Paths Forward
Immersive Learning That Works: Research Grounding and Paths Forward
GBSN - Biochemistry (Unit 6) Chemistry of Proteins
GBSN - Biochemistry (Unit 6) Chemistry of Proteins
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...
The cost of acquiring information by natural selection
The cost of acquiring information by natural selection
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
ESR spectroscopy in liquid food and beverages.pptx
ESR spectroscopy in liquid food and beverages.pptx
Sexuality - Issues, Attitude and Behaviour - Applied Social Psychology - Psyc...
Sexuality - Issues, Attitude and Behaviour - Applied Social Psychology - Psyc...
The debris of the ‘last major merger’ is dynamically young
The debris of the ‘last major merger’ is dynamically young
The binding of cosmological structures by massless topological defects
The binding of cosmological structures by massless topological defects
waterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
waterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
8.Isolation of pure cultures and preservation of cultures.pdf
8.Isolation of pure cultures and preservation of cultures.pdf
Gadgets for management of stored product pests_Dr.UPR.pdf
Gadgets for management of stored product pests_Dr.UPR.pdf
Basics of crystallography, crystal systems, classes and different forms
Basics of crystallography, crystal systems, classes and different forms
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...
Targeted and Discovery Proteomics
- 1. PROTEOMICS TARGETED V S DISCOVERY targeted and discovery proteomics At present, strategies for proteomics research can be divided into discovery proteomics and targeted proteomics. Discovery proteomics is more concerned with protein screening and dynamics, while targeted proteomics focuses more on detec�ng target proteins/pep�des to achieve the absolute quan�fica�on. Targeted Proteomics Discovery Proteomics Cells/tissue Sample Protein Extraction Separation Detection Detection Precursor Ion Collision Cell Q1 Q2 Fragment Software Analysis Bioinformatics Analysis Split to Peptides Precursor Ion Precursor Ion Q3 SRM/MRM SWATH MSX-DIA PRM 1 2 4 5 3 Collision Cell Q1 Q2 Fragment Orbitrap Orbitrap 1 3 2 5 4 25Da Precursor Ion Fragmentation Fragmentation Intensity m/z SWATH 1 SWATH 2 SWATH 3 Scanning Scanning MS/MS Retention Time Retention Time Intensity Intensity Targeted Proteomics Discovery Proteomics characteristics SRM / MRM eliminates a large number of interfering ions through two-stage ion selec�on. The chemi- cal background of the mass spec- trum is reduced, and the signal-to-noise ra�o of the target detector is significantly improved, thereby achieving high detec�on sensi�vity. PRM can quan�fy 50 proteins simul- taneously in an hour without the use of an�bodies. Comprehensive scanning of product ions can be easily done without selec�ng ion pairs and op�mizing the fragment energy. Compared with the tradi�onal SRM/MRM technology, the PRM can detect all target ions from the target ion pair fragment detec�on conver- sion, reducing workload and with higher resolu�on. SWATH-DIA is suitable for high-throughput large-scale protein quan�ta�ve analysis. The peak informa�on of the MS1 precursor ion and MS2 fragment ion is very complete, so retrospec�ve analysis a�er some �me is necessary. It can be easily operated without group- ing. The number of SWATH-DIA quan�ta�ve pep�des has greatly increased, enhancing the number of the corresponding quan�fiable pro- tein and the sequence coverage of the detected protein. In MSX-DIA, the mass range is divid- ed into much narrower precursor isola�on windows, each of which is usually about 4 m / z wide. All ion and fragment spectra can be collect- ed without losing any informa�on. The data is easy to trace. Even if cer- tain proteins or compounds cannot be found at current levels, they can be traced back in the future. © Creative Proteomics All Rights Reserved. Targeted proteomics is used for in-depth analysis and quan�ta�ve measurement of selected proteins in biological samples. Informa�on on the protein of interest is required before analysis. Our TPro™ Pla�orm is designed to quan�fy up to 150 proteins with high precision and throughput in a dynamic range of 6 orders of magnitude. Supplementary tool for ligand bind- ing assay (LBA) in the area of mono- clonal an�body (mAb) dose pharma- cokine�cs (PK). Systems biology and clinical pro- teomics research. Predict transporter-mediated drug clearance and promote drug discov- ery / development research. The goal of discovery proteomics is to gather informa�on about all pro- teins and protein structures in bio- logical samples. With li�le knowl- edge on the sample, discovery pro- teomics can iden�fy thousands of proteins and protein structures in one experiment. Our DPro™ Plat- form can analyze up to 9,000 pro- teins per sample under different condi�ons and iden�fy significantly regulated proteins. Host cell protein analysis. Iden�fica�on of chemical modifica- �ons. The workhorse of biomarker discov- ery. Drug target discovery. examples of applications Contact Us