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Single Cell Proteomics for Pancreatic Cancer
As the most common type of pancreatic cancer, pancreatic ductal adenocarcinoma (PDAC) is characterized by high intra-tumoral heterogeneity and complexity. Recently, single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool to reveal complex heterogeneity in the PDAC microenvironment with unprecedented resolution. Alfa Cytology is a leading provider of pancreatic cancer research services. Here, we use scRNA-seq-based analysis to quantify cell types and states in PDAC tumors, facilitating the understanding of PDAC heterogeneity and complexity. We specialize in pancreatic cancer genetic/molecular research and are committed to providing reliable and flexible services for pancreatic cancer basic research and precision medicine.
Overview of scRNA-Seq in Pancreatic Cancer
The development of next-generation sequencing (NGS) technology makes it possible to perform deep RNA sequencing (RNA-seq) at the single-cell level. With scRNA-seq, researchers can explore the whole transcriptome of individual cells in a tumor and determine their status with extremely high resolution. scRNA-seq studies of cancers have revealed new insights into tumor heterogeneity and different subpopulations, which are key to a detailed dissection of tumor-related mechanisms.
Fig. 1 The t-distributed stochastic neighbor embedding (t-SNE) plot demonstrates the main cell types in PDAC. (Peng, J., et al., 2019)
PDAC is characterized by high intra-tumoral heterogeneity and complexity, including not only tumor cells but also the microenvironment in which tumor cells are constantly interacting with each other. Specifically, PDAC has a complex immune microenvironment consisting of multiple inflammatory cells, such as T cells, B cells, and macrophages. These cells are closely associated with tumorigenesis and development. In addition, a dense stroma composed mainly of proliferating cancer-associated fibroblasts (CAFs) and abundant extracellular matrixes are present in PDAC. scRNA-seq can be applied to investigate and identify diverse malignant and stromal cell types, contributing to an in-depth characterization of PDAC intra-tumor heterogeneity, the underlying mechanisms of PDAC progression, and more.
Our Services
Alfa Cytology offers a range of single-cell proteomics services tailored to pancreatic cancer research:
Single Cell Protein Analysis
- Isolation and Processing: Using advanced microfluidic techniques, we isolate single cancer cells from pancreatic tissue or blood samples, ensuring high-quality proteomic analysis.
- Mass Spectrometry Profiling: Employing high-resolution mass spectrometry, we analyze protein expression, modifications, and interactions in single cells, providing detailed proteomic profiles.
Protein Biomarker Discovery
- Identification of Key Markers: Identifying specific protein biomarkers associated with pancreatic cancer subpopulations, which can be used for diagnosis, prognosis, and therapeutic monitoring.
- Validation of Targets: Validating potential therapeutic targets based on single-cell proteomic data to guide drug development efforts.
Cellular Interaction Studies
- Microenvironment Analysis: Studying the interactions between pancreatic cancer cells and their microenvironment, including immune and stromal cells, to understand their role in tumor progression and therapy response.
Custom Proteomics Solutions
- Tailored Studies: Developing customized proteomics studies based on specific research objectives, including unique sample types or experimental conditions.
Data Integration and Interpretation
- Comprehensive Analysis: Integrating single-cell proteomics data with other omics data to provide a holistic understanding of pancreatic cancer biology.
- Bioinformatics Support: Utilizing advanced bioinformatics tools for data analysis, visualization, and interpretation.
Why Choose Us?
Scientific Experience
Professional team of scientists and more than ten years of experience in pancreatic cancer
Customized Service
Tailored services dedicated to ensuring customer satisfaction
Data Security
Strictly keep confidential the client's project information and experimental data
Quick Reply
Our customer service representatives are available 24 hours a day from Monday to Sunday
To date, scRNA-seq has been widely employed in the study of the pancreas and pancreatic cancer. Alfa Cytology is comprised of scientists, bioinformaticians, oncologists, and so on. Our team works closely and communicates actively to achieve our common goals of helping researchers and professionals understand pancreatic cancer biology, explore new pancreatic cancer therapeutics and protocols, and develop new pancreatic cancer biomarkers. Thank you for choosing our services. If you have any related questions, please contact us. We will answer and serve you immediately.
References
- Wu, Haotian, et al. "Advances in biomarkers and techniques for pancreatic cancer diagnosis." Cancer Cell International 22.1 (2022): 1-12.
- Liu, Xiaohui, et al. "A new panel of pancreatic cancer biomarkers discovered using a mass spectrometry-based pipeline." British journal of cancer 117.12 (2017): 1846-1854.
- Hu, Dingyuan, et al. "Proteomic analyses identify prognostic biomarkers for pancreatic ductal adenocarcinoma." Oncotarget 9.11 (2018): 9789.
