Go beyond averages and get the most accurate picture of your cells’ transcriptomes with single cell sequencing. Using state-of-the-art 10x Genomics Chromium technology, we offer accurate, reliable data – including immune cell profiling – at various throughput levels to suit your requirements.
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Single-cell sequencing, named Method of the Year for 2013 by Nature, is a powerful tool for understanding gene expression at the individual cell level.
Single-cell methods offer a way to dissect heterogeneity in tissue samples or cell populations, allowing for better predictions of disease progression, identification of new drug targets, measurement of efficacy, determination of unknown or rare cell types or states, study of immune profiling, and more. These methods hold enormous potential for tackling diseases such as cancer and neurodegeneration. Another advantage of single-cell sequencing is its ability to make rare cells more accessible for analysis, provided that effective methods are available to isolate or enrich these cells from their heterogeneous environments.
Both technologies have their advantages, and the choice largely depends on what you are trying to achieve in your research. Let's have a look!
With bulk RNA sequencing, you get an overview of the average differences in gene expression between samples (e.g., cancer patients versus healthy individuals). This can be sufficient if your goal is to discover biomarkers for cancer or to study the biology of diseases.
Single-cell sequencing offers the potential to uncover molecular differences that are specific to certain cell types. Sometimes the key lies in specific cell types, and in that case, it’s necessary to look at gene expression in individual cells rather than an average representation.
It does not have to be an either/or decision. Integrating data from both bulk and single-cell sequencing experiments can bring you valuable insights!
Oncology
Single-cell transcriptome profiling can identify biologically relevant differences in cells, even when they may not be distinguishable by marker genes or cell morphology. A tumor is never a homogeneous mass of cells but rather a mixture of different tumor cell types, each influencing the tumor in a unique way. This complexity makes it challenging to identify the precise molecular mechanisms at work when analyzing bulk RNA-seq expression data. However, the enhanced resolution of single-cell sequencing enables the assessment of tumor heterogeneity and a deeper understanding of how tumors behave within their microenvironment.
Development Biology
Stem cells develop and differentiate into progenitor and mature cells by following specific differentiation pathways. In some species, these developmental processes can be reactivated to regenerate tissues, offering significant potential for treating congenital diseases and advancing regenerative medicine. Single-cell sequencing is a powerful tool for studying these developmental patterns at the level of individual stem or progenitor cells, enabling the precise determination of cell lineage. This technology allows for the identification of the stages of differentiation and the corresponding cell types, from stem cell to mature cell, across any species and cell type.
Immunology
The immune system is highly complex, consisting of various cell types and sub-types, each involved in different immune responses. Studying this field at high resolution with single-cell sequencing can deepen our understanding of these intricate processes. This approach enables the identification and characterization of immune cell types in your sample, including their cell surface markers. Additionally, single-cell sequencing can identify antigen specificity, aiding in the further characterization of immune cell populations and facilitating antibody discovery.
Neuroscience
The field of neuroscience greatly benefits from the high-resolution data provided by single-cell sequencing. The central nervous system is a complex structure composed of various cell types and signaling pathways. By comparing different states of single-cell gene expression, we can gain a deeper understanding of the molecular mechanisms underlying neuronal function, disease, and injury.
References:
1. Depending on your request, download the Custom Peptide Synthesis form or Modification Peptide Synthesis form.
2. Fill in the customer information fields
3. Upload the filled Peptide Synthesis form and Submit
4. Our colleagues will contact you
1. Depending on your request, download the Single Strand RNA Synthesis form or Double Strand RNA Synthesis form.
2. Fill in the customer information fields
3. Upload the filled Peptide Synthesis form and Submit
4. Our colleagues will contact you
1. Download the Gene Synthesis form and fill it with the necessary information. You can add more than one gene.
2. Fill in the customer information
3. Upload the filled Gene Synthesis form and Submit
4. Our colleagues will contact you as soon as possible
You can have a look to the list of all library kits available and the Macrogen Europe sample criteria. RTR samples? You can also find the library criteria in case your sample are ready for sequencing.
Macrogen offers a variety of services tailored to your specific goals in single-cell studies. Singleron’s method, based on microwell-based cell separation, is recommended for tissues. Meanwhile, 10x Genomics offers a microfluidics-based method for single-cell RNA sequencing, ideal for FFPE or cell suspension samples. Below you can have a look to the different library kits we offer and the minimun criteria.
You can have a look to the list of all library kits available and the Macrogen Europe sample criteria. RTR samples? You can also find the library criteria in case your sample are ready for sequencing.
Now, if you like what you read or you have any extra questions, you can book a free online meeting to discuss your project with our consultants. Tell us about your project and we will get the correct consultant for you
You can have a look to the list of all library kits available and the Macrogen Europe sample criteria. RTR samples? You can also find the library criteria in case your sample are ready for sequencing.
Knowing the purpose of your research is essential to establish the correct sequencing configuration and statistic analysis. Let us know what is the objective of your research and we will guide you in getting the correct bioinformatics services.
For more researchers obtaining RAW data is sufficient for their research. However, Macrogen Europe is also ready to provide bioinformatic analysis for your project.
We are working to provide you with some examples of the type of graphs and analysis for Single Cell Sequencing.
To identify and categorize individual cells based on their gene expression profiles or other molecular characteristics.
To compare gene expression levels between groups, highlight genes that show significant changes, and annotate them with relevant biological functions, pathways, or gene ontology terms.
For Single Cell RNA Seq: Mapping, GBM/PBM Generation, C(D)J Assembly and profiling, Feature linkage.
For Spatial Transcriptome Seq: Mapping, Feature-Spot Matrices and Clustering.
Knowing the purpose of your research is essential to establish the correct sequencing configuration and statistic analysis. Let us know what is the objective of your research and we will guide you in getting the correct bioinformatics services.
