Skin Proteomics Solutions
The skin provides a physical barrier and immune protection for the body, and these functions are performed by different functional layers, cell types and extracellular matrix. Although it plays a central role in human health and disease, the protein composition of the skin has rarely been systematically studied. Recently, advances in mass spectrometry and data acquisition methods have greatly improved the sensitivity, throughput, integrity and quantitative accuracy of protein detection. MS-based proteomics is now a sensitive and accurate method for large-scale, unbiased proteomic analysis, allowing for the characterization of a nearly complete proteome, which resulted in more studies revolving around skin proteome research.
Our Skin Proteomics Service
Data independent analysis (DIA) has become increasingly popular in the field of quantitative proteomics. We present a novel DIA strategy portfolio, developed and implemented on a hybrid quadrupole/oa-time-of-flight (Q-TOF) mass spectrometer. In addition, our improved 4D-DIA quantitative platform provides an additional separation dimension for skin proteome analysis to reduce interferences and enhance specificity.
Due to the nature of this acquisition, qualitative and quantitative data can be obtained from a single injection. Our skin proteomics services can be applied on large scale, analyzing thousands of proteins across thousands of samples in a high-throughput mode. We also offer highly multiplexed targeted proteomics with absolute quantification for customized panels of proteins.
Workflow of quantitative proteomics of human skin (Matthias Mann et, al. Nature Communications. 2020)
Data Analysis
| Standard data analysis content |
| Statistical analysis of identification results | Sample protein and peptide identification histogram, PCA distribution map, quantitative variance statistical analysis |
| Bioinformatics analysis | Differential up- and down-regulated protein KEGG map, KEGG pathway function attribution, etc. |
| GO and G0 enrichment, KEGG and KEGG enrichment analysis, PPI interaction network and module analysis |
| Advanced data analysis content |
| Biomarker screening | Integrated machine learning, LASSO regression analysis, marker panels, ROC analysis |
| Molecular typing analysis | Unsupervised cluster typing analysis, proteome + transcriptome analysis, kinase analysis |
| Joint analysis of clinical characterization and omics results |
| Disease-related functional module analysis | WGCNA co-expression analysis |
| Survival curve analysis | Clinical typing and survival curve analysis |
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- High accuracy: QC CV as low as 25% for large projects
- High throughput, more than 9000 proteins can be identified at once
- Quantitatively identify nearly all detectable molecules, covering low-abundance proteins/peptides
- High repeatability, increased by 30% and up to 90%
- Complete and comprehensive sample information storage in the first analysis
- Standard data and advanced data analysis
- Low cost: reduce the cost by more than 3 times
Sample Requirements
Based on our special protein extraction technology, we can quickly extract proteins from various samples and design personalized experimental schemes according to different experiment purposes. Specific requirements are as follows:
| Sample Type | Protein | # of Cell | Skin Tissue |
| Quantify | 100 ug | 1×107 cells | 1 g |
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- Experimental steps
- Relevant experiment parameters
- Mass spectrometry spectra
- Raw data
- Proteomics analysis results
Our DIA Quantitative Proteomics service is ideal for long-term projects or projects with large sample sets which require accurate and reproducible quantitation. Please contact us for more details.
References:
- Matthias Mann et, al. Spatially and cell-type resolved quantitative proteomic atlas of healthy human skin. Nature Communications. 11,5587 (2020)
- Jing Ma et, al. Quantitative proteomics analysis of young and elderly skin with DIA mass spectrometry reveals new skin aging-related proteins. Aging 12, 13 (2020)
* For Research Use Only. Not for use in the treatment or diagnosis of disease.
4D Proteomics with Data-Independent Acquisition (DIA)