Single-cell Proteomics Analysis Service
Single-cell proteomics analysis involves conducting proteomics analysis on individual cells isolated from tissues, including the composition, abundance, and modification states of proteins within a single cell. Compared to conventional proteomics studies, single-cell proteomics offers the advantage of obtaining information from individual cells, enabling cell type-specific differential expression analysis. This provides revolutionary insights into cellular heterogeneity, biological system complexity, and disease mechanisms, allowing for more detailed studies of cell behavior and function. It is highly applicable to cancer research, immunology, developmental biology, and more.
Single-cell proteomics (Nat Methods 20, 324–326 (2023).)
Cells are currently known as the basic structural and functional units of living organisms and the foundation of all life activities. In multicellular organisms, cell-to-cell variability is crucial. For example, tumors consist of various cell types, including cancer cells, fibroblasts, immune cells, and endothelial cells. Each cell type is composed of multiple distinct cell populations. Their close interactions often induce cell transformations in the tumor microenvironment to support tumor growth. Due to the high heterogeneity of cells, traditional proteomics cannot capture these subtle differences. To explore the roles of specific cell subpopulations in cancer development, metastasis, and immune evasion, or to identify innovative targets for cancer therapy, single-cell proteomics analysis is necessary.
Tumor microenvironment (Cancer Discov (2021) 11 (4): 933-959.)
BiotechPack's single-cell proteomics analysis services
BiotechPack has established a cutting-edge single-cell proteomics analysis platform based on the most advanced Thermo Orbitrap Astral high-resolution mass spectrometer and Bruker's timsTOF HT equipment. Equipped with the fully integrated automated single-cell sorting platform CellenONE, it achieves precise and stable single-cell proteomics analysis in situations of high biological sample heterogeneity:
- Gentle sorting: Utilizes piezo-acoustic dispensing technology, which has lower shear stress and loss rates, and higher cell viability;
- Optical monitoring: Employs advanced vision processing technology to automatically determine subsequent sorting operations through software-integrated visual feedback; high success rate;
- Low loss rate: Single-cell isolation rate reaches 98%, and droplets containing multiple cells are recycled for redistribution; fully automated process;
The single cells obtained from sorting are subjected to an almost non-destructive protein preprocessing method involving enzymatic digestion. The resulting peptides are detected using the latest, highly sensitive Thermo Orbitrap Astral equipment, ensuring data quality and providing customers with the most comprehensive single-cell proteomics profiles.
Single-cell proteomics analysis workflow
Advantages of single-cell proteomics analysis
Over the past decade, conventional single-cell RNA sequencing of large numbers of single cells has greatly enhanced our understanding of the underlying heterogeneity of complex biological systems. Advances in technology have also made protein measurement possible, further elucidating the cell types and states present in complex tissues. Compared to single-cell transcriptomics analysis, single-cell proteomics analysis offers more advantages:
1. Higher correlation with proteins: The correlation between bulk-level transcript information and proteins is about 0.5, while the correlation at the single-cell level is only around 0.2 (Mol Syst Biol (2022)18: e10798)
2. Reflects post-translational modification information: PTMs greatly enrich protein diversity and regulate protein function, which is not reflected in mRNA
3. Different mechanisms: The regulation of mRNA expression and the regulation of protein activity are different mechanisms. Transcript variants and protein outcomes do not have strong correlations, and the two datasets can complement each other
4. Protein results are more stable, closer to the actual cellular expression profile: Solving heterogeneity between cells and differences between individuals from a protein perspective, discovering cell state differences, changes in cell composition, revealing physiological and pathological phenomena, and aiding in the search for new therapeutic targets (Mol Cell. 2022;82(12):2335-2349)
Protein and transcript correlation (Cell Rep. 2023;42(11):113455.)
Applications of single-cell proteomics analysis
Medical field:
1. Tumor heterogeneity research
2. Embryonic developmental biology research
3. Immunotherapy clinical trials
4. Targeted drug development
5. Immunological mechanism research
6. Drug resistance and dynamics research
7. Stem cell differentiation potential research
8. Cell mapping
9. Precision pathology testing, etc.
Agricultural field:
1. Cell-specific signal response mechanisms
2. Single-cell maps of plant development
3. Stress resistance
4. Single-cell modification characteristics of varieties
5. Cell dynamics and regulatory networks
6. Plant regeneration mechanisms, etc.
Example results
Bilingual project reports
In the technical report, BiotechPack will provide you with a detailed bilingual (Chinese and English) technical report, which includes:
1. Experimental procedures (in Chinese and English)
2. Relevant mass spectrometry parameters (in Chinese and English)
3. Mass spectrometry images
4. Raw data
5. Detailed information on single-cell proteomics analysis
One-stop service for single-cell proteomics analysis
You only need to place an order and send samples
BiotechPack's one-stop service completes: sample processing - machine analysis - data analysis - project report
Related services
Single-cell mass cytometry analysis
How to order?
