Creative Biolabs is recognized as the world leader in providing the most diverse portfolio of lineage tracing project solutions for worldwide customers. With our extensive experience and advanced platform, we are proud to partner with our clients on the journey of bringing novel single-cell tools-based lineage tracing strategies to the market.

Introduction to Single-cell Tools

As sequencing technology continues to be updated and costs continue to fall, a large number of single-cell molecular analysis and sequencing readout tools have also been developed and made great breakthroughs in the past few years. To date, single-cell molecular techniques enable unbiased screening of transcriptome, genome, DNA methylation, and spatial resolution of gene expression. However, the analytical integration of cell phenotype and function is still rare, and there are still technical shortcomings in examining tissue complexity, disease progression, and therapeutic interventions. Therefore, Creative Biolabs has been working to pioneer the development of molecular tools for multimodal single-cell technologies to provide new insights into a wide range of disease mechanisms, especially tumors with significant heterogeneity.

Currently, we propose several innovative strategies for single-cell sequencing. Firstly, we establish a range of platforms for single-cell DNA/mRNA extraction, such as the magnetic bead-based mRNA extraction system. Our multimodal epigenetic assays enable the simultaneous acquisition of DNA methylation profiles and gene expression information from Tumor Single Cells. Additionally, by integrating barcode mRNA with nuclear scRNA-seq and scATAC-seq technologies, we can offer comprehensive chromatin accessibility and gene expression profiling services targeting a wide variety of tumor cells.

Features

• Multimodal datasets
• High-throughput epigenetic and gene expression screening
• Efficient capture of chromatin fragments
• High transcriptional sequencing depth
• Advanced single-cell analysis tools

Fig.1 Single-cell Multimodal Platforms And Their Uses.¹

Single-cell Computational Tools

To obtain high-quality single-peak single-cell data, Creative Biolabs has generated comprehensive computer-based analytical tools, including but not limited to, marker gene identification algorithms, simulation-building lineage trace software, and batch-calibrated dimensionality reduction and cluster analysis assays. Nowadays, our trained staff have been proficiently conducting independent analyses of any single-cell data.

In general, we streamline multimodal analysis datasets with varying cellular dimensions into a unified management analysis track. For instance, a neighbor analysis is employed alongside modal weight calculations to derive a singular landscape that reflects the similarity across all modes. Subsequently, the multi-modal datasets from different experiments, platforms, and batches are anchored and calibrated. The integration of these tools enables the extraction of multiple elements from a single cell while facilitating investigations into direct relationships between various molecular dimensions. These extensive single-cell analysis assays will prove particularly advantageous in future cell therapy applications as they allow for an exploration of tumor-infiltrating lymphocytes and the tumor microenvironment-essential components for target discovery and therapeutic effect monitoring.

Fig. 2 General Workflow of Trajectory Analysis Algorithms.²

Single-cell Tools based Lineage Tracing Services

• Physiologic barcodes T cell receptor (TCR) sequencing platform
• Natural barcode (BCR) sequencing platform
• CNV-mediated DNA/RNA sequencing platform
• Longitudinal tracking of cancer clonal evolution analysis solutions
• Single-cell trajectory analysis services

Creative Biolabs is a leading company that is dedicated to helping our worldwide customers shorten the lineage tracing analysis time. Additionally, experienced experts in our labs also specialize in single-cell sequencing, with different formats, endpoints, and parameters, to satisfy any specific requirement at the most competitive price. For more detailed information, please feel free to contact us or direct send us an inquiry.

References

1. Bode, D.; et al. Exploiting single-cell tools in gene and cell therapy. Frontiers in immunology, 2021, 12: 702636.
2. Herring, C. A.; et al. Single-cell computational strategies for lineage reconstruction in tissue systems. Cellular and molecular gastroenterology and hepatology, 2018, 5(4): 539-548.

For Research Use Only | Not For Clinical Use