Semi-Quantitative Peptidomics Analysis Service
Semi-quantitative peptidomics analysis service is a label-free peptidomics research strategy designed for preliminary quantitative comparison of the relative abundance of endogenous peptides in different samples. The basic principle involves measuring the signal intensity of peptide ions in each sample using high-resolution mass spectrometry and employing normalization algorithms to compare peptide abundance. This allows the evaluation of peptide expression trends under different treatments or conditions, and is commonly used in exploratory research and the differential peptide screening stage.
Semi-quantitative peptidomics analysis service is widely applied in various fields such as disease biomarker discovery, drug mechanism of action analysis, cell signaling pathway analysis, and research on developmental and differentiation regulation. It is especially suitable for experimental scenarios with limited sample sizes or those where stable labeling is difficult. Semi-quantitative peptidomics provides valuable clues and data support for subsequent in-depth research.
Services at MtoZ Biolabs
Based on the high-resolution orbitrap mass spectrometry platform, MtoZ Biolabs introduces the semi-quantitative peptidomics analysis service focusing on relative quantitative analysis of peptides. This service does not require stable isotope labeling but directly detects and compares natural peptides in different samples. By accurately comparing signal intensities, it evaluates their relative abundance changes, generating expression profiles and trend data. This service provides reliable support for functional peptide screening, cell state assessment, and biological process research.
Analysis Workflow
1. Sample Preparation
The peptide samples are pre-processed to remove interfering components, enhancing the efficiency of mass spectrometry detection.
2. LC-MS/MS Detection
Using a high-resolution Orbitrap mass spectrometry platform combined with a nanoscale liquid chromatography system, peptides are highly sensitively separated and detected.
3. Data Acquisition and Quantitative Analysis
Peptides are identified and spectra are aligned using professional software. Semi-quantitative analysis is performed based on peak area or signal intensity, generating expression profiles and differential analysis results.
4. Result Compilation and Biological Interpretation
A comprehensive report is provided, containing peptide identification, relative expression levels, and statistical significance, supporting downstream functional annotation and pathway analysis.
Sample Submission Suggestions
1. Sample Type
It is recommended to submit samples that have already undergone peptide extraction. Sample sources can include cells, tissues, plasma, urine, and other biological matrices. If peptide extraction is required, please use fresh or rapidly frozen samples to ensure the integrity of endogenous peptides.
2. Transport and Storage
Store the samples at low temperatures (–80°C) and ship using dry ice to maintain peptide activity and stability. It is recommended to centrifuge and remove particulate impurities before transportation.
3. Accompanying Information
Please provide a complete sample information sheet, including processing conditions, source type, and whether labeling is used, to facilitate subsequent data analysis and result interpretation.
Service Advantages
1. Advanced Analytical Platform
Using a high-resolution mass spectrometry system combined with liquid chromatography, this service enables high-throughput, deep coverage of peptide relative quantification analysis for complex samples.
2. High-Quality Data
This service does not require isotope labeling, maintaining the original state of the samples. It combines high-resolution detection technology to provide high sensitivity, broad dynamic range, and strong reproducibility in quantification results.
3. Standardized Service Process
MtoZ Biolabs has developed a standardized process that covers sample handling, mass spectrometry analysis, data processing, and bioinformatics interpretation, ensuring consistency and comparability across different experiments.
4. One-Stop Service Support
From experimental design and sample processing to differential analysis and functional annotation, MtoZ Biolabs offers comprehensive technical support to help clients efficiently carry out proteomics research.
Applications
1. Peptide Expression Difference Analysis
The semi-quantitative peptidomics analysis service can be used to compare peptide expression levels between different treatment conditions, time points, or tissue samples, revealing changes in physiological states or environmental responses.
2. Protein Hydrolysis Regulation Study
By analyzing the distribution characteristics of endogenous peptides, this service assists in deciphering the regulatory mechanisms in processes such as protein degradation and cleavage.
3. Signal Pathway and Function Assessment
The semi-quantitative peptidomics analysis service can explore changes in peptide composition under activation or inhibition of specific pathways, supporting cellular function state evaluations.
4. Basic Proteomics Research
This service provides quantitative data to support studies on protein post-translational processes, peptide stability, and dynamic changes, expanding the scope of proteomics research.
FAQ
Q1: What Is Semi-Quantitative Peptidomics Analysis?
A1: Semi-quantitative peptidomics analysis refers to a non-isotope labeling quantitative method that uses the relative changes in peptide detection intensity in mass spectrometry to assess peptide abundance variations between different samples. This method is suitable for preliminary screening, dynamic change analysis, and functional research.
Q2: Does this Service Support the Detection of Post-Translational Modification (PTM) Peptides?
A2: Yes, it does. However, it is recommended to combine specific enrichment strategies for modifications (such as phosphorylation or acetylation enrichment) to enhance detection sensitivity. MtoZ Biolabs can provide customized enrichment workflows for these modifications.
Deliverables
1. Comprehensive Experimental Details
2. Materials, Instruments, and Methods
3. Data Analysis, Preprocessing, and Estimation
4. Bioinformatics Analysis
5. Raw Data Files
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