Today, genomic biotechnology company 10x Genomics announced that a study using the company's ChromiumSingle Cell 3' platform was published in the journal Nature Communications. The project, in collaboration with researchers at the Fred Hutchinson Cancer Research Center, uses powerful genome sequencing technology to obtain a large number of high-quality single-cell expression measurements that help discover gene expression kinetics and molecular lineages of individual cell types, entitled "Single Massively parallel digital transcriptional profiling of single cells.
"Early single-cell RNA sequencing methods are challenging for many laboratories, including ourselves. So we worked with 10x Genomics to help validate and customize its single-cell RNA sequencing platform to expand single-cell transcriptomics. "The potential of basic research and clinical research in biology," said Dr. Jason Bielas, Ph.D., author of the Fred Hutchinson Cancer Research Center, "The speed, reproducibility and high cell capture efficiency of 10x Genomics single cell analysis enabled us to Accurate analysis of fragile bone marrow samples isolated from patients with acute myeloid leukemia who have undergone multiple rounds of chemotherapy, transplantation regulation, and immunosuppression."
Existing methods for single-cell RNA sequencing face practical challenges when expanding to the throughput of tens of thousands or more cells. 10x Genomics significantly upgrades the capabilities of existing sequencing technologies by providing an innovative genomic platform to change the definition of sequencing. This is achieved through a combination of new microfluidics science, chemistry and bioinformatics. Current experimental plate-based methods require time-consuming fluorescence activated cell sorting (FACS), many of which must be processed separately. Microfluidic-based platforms utilize mechanical capture of cells, but their throughput and cell capture efficiency are limited. Academia's droplet-based technology enables tens of thousands of cells to be processed in a single experiment, but cannot be effectively implemented or scaled. The published data shows that the Chromium Single Cell 3' solution addresses these shortcomings in a single assay, with high cell capture efficiency and flexible throughput, providing a more scalable and powerful platform for single-cell RNA sequencing.
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