4D-DIA Quantitative Proteomics
4D-DIA quantitative proteomics is an emerging high-throughput mass spectrometry technology that combines Data Independent Acquisition (DIA) strategy with four-dimensional (4D) separation technology.toproteinsperformenzymatic digestion and liquid chromatography separation, followed by detection and identification using a mass spectrometer, achievinghigh-throughput and high-sensitivity quantitative analysis of proteins in biological samplesanalysis. 4D-DIA has wide applications, including in biomedical research, disease diagnosis, and drug development. Through in-depth analysis of the proteome, it helps reveal biological processes, discover potential biomarkers, and study drug targets, thus promoting breakthroughs in scientific research and clinical applications.
BiotreeBiotechnologyThe typical workflow of 4D-DIA quantitative proteomicsprocess
1.Sample preparation:
Extract proteins from biological samples, then purify and concentrate them.
2.Protein digestion:
Digest protein samples using enzymes (e.g., trypsin) to produce peptides.
3.Peptide separation:
Usehigh-performanceliquid chromatography to fractionate peptides.
4.Mass spectrometry analysis:
Introduce the separated peptides into a mass spectrometer forfour-dimensionalData Independent Acquisition (DIA) analysis,includingretention time, mass-to-charge ratio (m/z), ion intensityand ion mobility,collect mass spectrometry data and perform spectrum matching.
5.Data processing and quantitative analysis:
Search mass spectrometry databases to identify peptides and quantify proteins from the mass spectrometry data.
Technical advantages of 4D-DIA quantitative proteomics
1. High throughput:
4D-DIA technology can simultaneously analyze a large number of samples, such as thousands of protein samples, significantly reducing experimental time and improving efficiency.
2. High accuracy:
4D-DIA technology uses high-sensitivity and high-resolution mass spectrometers for quantitative protein analysis, offering high accuracy and reliability, effectively reducing errors and missed detections.
3. Comprehensive coverage:
4D-DIA technology can analyze almost all proteins in a sample, not just specific ones.
4. Data reproducibility:
4D-DIA technology generates data with high reproducibility and repeatability, ensuring the stability and credibility of experimental results.
Main applications of 4D-DIA quantitative proteomics
1. Functional proteomics research:
Explore protein structures, functions, and interactions, providing essential theoretical foundations for biological sciences.
2. Protein modification research:
Protein modifications can affect their function and regulation. 4D-DIA quantitative proteomics can study various types of protein modifications, such as phosphorylation, acetylation, and methylation.
3. Disease biomarker identification:
By comparing disease samples with normal controls, potential disease biomarkers can be identified, improving early diagnosis and treatment outcomes.
4. New drug development:
In-depth research into drug mechanisms can lead to the development of more precise drugs and personalized treatment options for different individuals.
Regarding samples
We accept a diversity of samples, including but not limited tocell samples,tissue samples,body fluid samples(such as bloodserum, plasma, urine, saliva, etc.)microbial samples(such as bacteria, viruses, fungi, etc.).
Bilingual project report
In the technical report, Biotree will provide you with a detailed bilingual (Chinese-English) technical report, including:
1. Experimental steps (Chinese and English)
2. Relevant mass spectrometry parameters (Chinese and English)
3. Detailed information on 4D-DIA quantitative proteomics
4. Mass spectrometry images
5. Raw data
One-stop service for 4D-DIA quantitative proteomics
Simply place an order - send your samples
Biotree offers a one-stop service: sample processing - on-machine analysis - data analysis - project report completion
Related services
Quantitative proteome analysis
Label-based protein quantification technologies - iTRAQ, TMT, SILAC
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