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Original link：Metaorganisms - Single Cell Sequencing
Single cell sequencing technology is a new technique for high-throughput sequencing analysis of the genome, transcriptome, and epigenome at the single-cell level. It can reveal the gene structure and expression status of individual cells, reflect the heterogeneity between cells, and play an important role in fields such as oncology, developmental biology, microbiology, neuroscience, etc. It is becoming a focus of life science research.
Single cell sequencing workflow
The workflow of single-cell sequencing includes four key steps: 1) single-cell preparation, 2) single-cell isolation and library preparation, 3) sequencing and primary analysis, and 4) data visualization and interpretation. In the entire workflow, there are some experimental considerations and key steps that affect the results and determine whether the research can be successful. To obtain accurate data and draw meaningful conclusions, it is necessary to carefully design experiments and conduct them according to requirements.
In the past decade, significant progress has been made in the field of single-cell identification and research with the development of new technologies for cell isolation, sequencing, and techniques, as well as single-cell and new applications. With the increasing number of options for single-cell isolation and detection, the diversity of experimental protocols has significantly increased, each with its inherent advantages and disadvantages. Therefore, researchers face many decision-making issues, such as cell flux, sequencing depth, required transcript length, and whether to include epigenetic or protein level measurements.
It is crucial to carefully design experiments and optimize every step of the workflow in order to fully utilize single-cell sequencing to elucidate complex biological systems. Researchers must have clear biological goals and reasonable experimental designs in order to select the best methods for their research questions.
