Label-Free Quantitative Proteomics

LC MSMS Instrument is A scientific tool for chemical analysis using liquid chromatography and tandem mass spectrometry

Label-free quantitative proteomics is an advanced protein quantification technique that requires no isotopic labeling. It utilizes LC-MS/MS to analyze enzymatically digested peptides. This method eliminates the need for expensive stable isotope tags as internal standards. Instead, it compares signal intensities of corresponding peptides across different samples by analyzing mass spectrometry data generated from large-scale protein identification, enabling accurate and reliable relative protein quantification.

Based on advanced mass spectrometry principles, this technology can precisely quantify protein expression in complex samples, providing crucial technical support for biomedical research.

Our Services

Creative Diagnostics offers comprehensive professional label-free quantitative proteomics services, including:

  • Routine Protein Quantification Analysis: Protein identification and quantification services based on high-precision mass spectrometers
  • Differential Expression Protein Analysis: Comparison of protein expression level changes under different conditions
  • Post-Translational Modification Studies: Quantitative analysis services for various post-translational modifications
  • Complex Sample Analysis: Proteomics research on special samples such as paraffin-embedded tissues, body fluids, and plant tissues
  • Customized Research Solutions: Personalized experimental designs tailored to specific client requirements

Service Advantages

Our service employs advanced label-free quantification technology, featuring cost-effectiveness, operational flexibility, and wide applicability. It enables precise quantification without expensive isotope labeling, making it particularly suitable for large sample cohort studies while ensuring high sensitivity and data reliability. We provide robust technical support for various proteomics research applications.

Workflow

Professional team receives and evaluates sample quality

Standardized procedures for protein extraction and enzymatic digestion

High-performance liquid chromatography system for precise peptide separation

High-resolution mass spectrometer for high-quality data collection

Includes protein identification, quantification, functional annotation, and bioinformatics analysis

Complete experimental reports and professional data interpretation

Application

Label-free quantitative proteomics technology has extensive application value in multiple research fields:

  • Biomarker Discovery: Comparing disease and normal samples to identify valuable biomarkers
  • Drug Development: Evaluating drug effects on protein expression, accelerating drug target screening
  • Disease Mechanism Research: In-depth investigation of molecular mechanisms in disease pathogenesis
  • Plant Science Research: Studies on plant stress resistance mechanisms and growth development processes
  • Microbiological Research: Pathogenesis, drug resistance mechanisms, and metabolic pathway studies
  • Translational Medicine Research: Disease classification, efficacy evaluation, and personalized treatment studies

Sample Submission Guidelines

To ensure accuracy and reliability of experimental results, please refer to the following submission requirements:

Sample Type Sample Requirements
Plant leaves Wet weight ≥ 0.2g
Plant roots, stems, xylem/phloem, etc. Wet weight ≥ 5g
Cell samples Cell count ≥ 1×10⁷
Tissue samples Human, animal, microbial wet weight ≥ 50mg
Body fluid samples Serum, plasma volume ≥ 100μl, cerebrospinal fluid ≥ 200μl, urine ≥ 8ml

Label-free quantitative proteomics technology has become an essential tool in proteomics research due to its flexibility, cost-effectiveness, and wide sample applicability. Whether for basic scientific exploration or clinical application research, we can provide reliable protein quantification data services to fully support your scientific research work.

The service is for research only, not for clinical use.
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