Single Cell Genomics Platform
The field of single-cell genomics is rapidly advancing and is creating many novel insights into complex biological systems, covering from the diversity of microbial ecosystem to the genomics of human cancer. Nowadays, single-cell omics methodology provides a higher-resolution view of the genomic content of specimens by reducing the complexity of genomic signals through the physical separation of chromosomes.
Deep Dive into Single Cell Genomics
Genomic DNA can be used to assay the single-cell genome, methylome, or chromatin accessibility, while RNA from the same cell can be used to profile the transcriptome and the proteome. With expertise in single cell sequencing, Creative Biolabs provides various single cell omics (scOmics) strategies as building blocks to assist clients in constructing a multi-omics profile for a single cell.
Fig.1 Strategies for multi-omics profiling of single cells. (Hu, 2018)
Single Cell Genome Sequencing Platform
Single cell genome sequencing aims to deepen our understanding of complex microbial systems and diseases in multicellular organisms by isolating contributions of different cellular populations. Meanwhile, the sequencing technology provides a novel perspective for genetics by bringing the study of genomes to the cell level. Many tools have been used to open up new frontiers by dissecting functions of single cells to the biology of organisms and ecosystems. We're committed to developing the latest technologies to uncover genetic secrets within the cells, including but not limited to:
- Pure PCR-based Amplification (low coverage of genome, but better uniformity) - Degenerate oligonucleotide primed PCR (DOP-PCR)
- Isothermal Amplification (covering most of the genome) - Multiple displacement amplification (MDA)
- Hybrid Methods (intermediate coverage and uniformity) - Multiple annealing and looping based amplification cycles (MALBAC)
Now, it's possible to use single-cell genomics to identify the genomes of unculturable microorganisms, value the roles of genetic mosaicism in normal and disease contexts, and determine the contributions of intratumor genetic heterogeneity in cancer development and treatment processes. The typical workflow of single-cell genomics applications contains four major steps, isolation, lysis, amplification, and sequencing. Our practiced technicians will help you with the challenges from the single cell separation to the genomic information collection.
Single Cell Exome Sequencing Platform
Exome sequencing in the cell is targeted DNA sequencing where exonic regions are captured and then sequenced. Compared to whole-genome sequencing (WGS), exome sequencing is a much more cost-effective approach to study variations in coding regions since the size of the human exome is only ∼1% of the genome. There are different methods to capture the exonic regions for single cell sequencing, including array hybridization and in-solution hybridization.
With the advent of next next-generation sequencing (NGS), today it is feasible to sequence a large number of DNA. Based on NGS development, we have launched a cutting-edge platform for various exome sequencing services, which with our bioinformatics pipeline, can be a powerful tool to study humans' exome, especially cancer patients. Our standard workflow of single-cell exome sequencing consists of project design, exome enrichment (library preparation), sequencing, and data analysis.
Single Cell Targeted Sequencing Platform
Single cell targeted region sequencing is an effective approach to investigate your selected regions of interest by NGS. By using targeted region sequencing panels, single-nucleotide polymorphisms (SNPs), copy number variations (CNVs), insertions/deletions (InDels), and structural variants (SVs) might be discovered rapidly and precisely. Compared with WGS, targeted region sequencing enables accurate detection of rare variants with higher specificity and sensitivity. This method is very cost-effective when handling quantities of samples, which largely reduces the cost per sample.
Notably, we offer fast and accurate targeted region sequencing and bioinformatics analysis that have been thought of an efficient way to diagnose different genetic disorders. The main process of our targeted region sequencing services includes primers/probes designing & synthesis, target regions capture, library construction, paired-end sequencing, and analysis on target sequences. We harbor a lot of experienced scientists who can execute quality management, following every procedure to ensure reliable results.
Single Cell Genotyping Platform
Single cell genotyping is the process of determining differences in the genotype of a sample by examining the DNA sequence using biological tests and comparing it with another DNA sequence or a reference sequence. The genomic DNA samples are often obtained from two contrasting groups of cell groups, with the purpose of identifying differences in the genetic make-up (genotype) which may explain the difference in the phenotype.
Here, we have developed two popular approaches to explore genotyping within cells, which contain sequencing-based single cell genotyping and mass spectrum (MS)-based single cell genotyping. With the help of us, single cell genotyping studies can be designed and applied by clients to identify DNA sequence differences at three distinct levels:
- Single Nucleotide Polymorphisms (SNPs) - Focus on differences in the DNA sequence at the single nucleotide level.
- Copy Number Variations (CNVs) - An increase or decrease in the number of copies of a DNA segment.
- Structural Variations - An order of magnitude larger than CNVs, frequently cover megabases of DNA, and caused by chromosomal rearrangements.
Highlights
- Cost-effective massively parallelized targeted sequencing for single-cell genomics.
- High resolution, high sensitivity, and extensive multiplexing flexibility.
- Comprehensive bioinformatics options and genome-wide analysis.
The genome diversity within an ecosystem of single cell species is far greater than currently accurate measurement. In the era of precision medicine, single cell genomics omics technology is highly promising owing to its potential in diagnosis, therapeutics, and prognosis. As a skillful expert in the single cell analysis, Creative Biolabs is committed to advancing clients' significant programs and provides end-to-end solutions for any challenging single cell genomics projects through our advanced platforms and bioinformatics profiling. Please do not hesitate to contact us to know more.
Q&As
Q: How does Single Cell Genomics improve traditional genomic analysis?
A: Traditional genomic analysis often averages signals across many cells, potentially masking important cellular heterogeneity. Single Cell Genomics, by contrast, provides high-resolution data on individual cells, uncovering rare cell types and genetic variations that can be crucial for understanding complex biological processes and diseases.
Q: How does the platform support multi-omics analysis?
A: The platform supports multi-omics analysis by simultaneously profiling DNA, RNA, and protein from the same single cells. This integrative approach provides a holistic view of cellular functions and interactions, enabling a deeper understanding of complex biological systems.
Q: What is the significance of immune profiling using Single Cell Genomics?
A: Immune profiling at the single-cell level allows for the detailed characterization of immune cell populations, including the identification of rare immune cell types and their receptor repertoires. This is crucial for understanding immune responses and developing immunotherapies.
Q: What are the key considerations for sample preparation in single cell genomics?
A: Key considerations include ensuring high cell viability, minimizing cell loss, and preventing contamination. Proper sample handling and preparation protocols are critical to obtain high-quality data and reliable results.
Q: How quickly can researchers expect results from the Single Cell Genomics Platform Service?
A: Turnaround times vary depending on the project size and complexity, but typically results can be expected within a few weeks. This allows researchers to quickly obtain and analyze data, facilitating timely decision-making in their studies.
Resources
Reference
- Hu, Y.J.; et al. Single cell multi-omics technology: methodology and application. Front Cell Dev Biol. 2018, 6: 28.
