Joint Analysis of Multiple Single-cell Omics in TME
Relying on the tumor microenvironment center technology platform, Alfa Cytology provides TME research with multi-omics conjoint analysis services at the single-cell level, helping researchers successfully achieve their research goals.
Introduction
Tumor heterogeneity, including genetic, epigenetic, phenotypic, and functional heterogeneity, plays a crucial role in tumor progression. Investigating the origin of tumor (intra/inter) heterogeneity has been a focus of research. Single-cell techniques have shown great advantages in dissecting cellular composition and its molecular characteristics, providing an opportunity to reveal the mixed state of individual cells within the tumor microenvironment (TME). In addition, single-cell technology has a powerful ability to identify rare cell populations and to distinguish between tumor and non-tumor cellular components, as well as infer interactions within or between these cellular components. Therefore, single-cell technology can be used to classify molecular subtypes, explore tumor heterogeneity, monitor treatment response, identify new therapeutic targets, and more. The current scientific research has begun to gradually transition from the study of a single omics to the combined use of multiple omics, so that the biological significance can be jointly analyzed from multiple levels. The same is true for single-cell studies. For example, single-cell transcriptomics can be combined with conventional genomics studies to analyze the biological properties of individual cells from multiple dimensions.
Services
At Alfa Cytology, we have established a mature tumor microenvironment center technology platform, with a group of experienced tumor microenvironment research experts and mature technologies. We provide efficient single-cell-level multi-omics analysis services in the TME to our global clients to help in detailing tumors and the tumor microenvironment.
- Combined analysis of transcriptome and epigenome
It can obtain information on gene expression and ATAC (accessibility of chromatin) /methylation in the same tumor-associated cell, improving the chance of discovering different tumor cell types or states, and further revealing the mechanism of gene regulation. Combine discovery of regulatory elements with gene expression to explore gene regulatory interactions that drive tumor cell differentiation, development and disease.
- Combined analysis of proteome and transcriptome
It can simultaneously measure transcripts and proteins from a single cell, providing scientists with post-transcriptional studies to analyze differences between protein and transcript levels.
Service advantages
- Joint multi-omics study: polymorphism localization to cell populations obtained from transcriptome and other omics data analysis, reflecting the state of tumor cells in the population.
- Project experience: partners all over the world, several scientific results published in top journals.
- Cutting-edge information analysis content: upgraded bioinformatics analysis with newer analysis software for multidimensional analysis of polymorphisms.
- One-stop single-cell research service: provide flow sorting service to realize the sorting of immune cell purpose, one-stop realization from tissue to data and avoid repeated freeze-thawing of cells.
Service process
Alfa Cytology is dedicated to supporting scientists in making groundbreaking scientific discoveries and developing new applications to accelerate new drug discovery and scientific diagnosis and treatment. We have established the tumor microenvironment center technology platform with high performance scientific instruments and high value solutions to ensure high quality services that enable scientists to explore the mysteries of life at the tumor microenvironment level. Please let us know your project requirements and we will provide you with a comprehensive service from solution to report. If you have any questions, please feel free to contact us.
All of our services and products are intended for preclinical research use only and cannot be used to diagnose, treat or manage patients.