We developed computational and statistical methods to integrate multimodal data and quantitatively validate cell-type reproducibility. Here we generated transcriptomes and epigenomes from more than 500,000 individual cells in the mouse primary motor cortex, a structure that has an evolutionarily conserved role in locomotion. With the proliferation of multi-omics datasets, a major challenge is to validate and integrate results into a biological understanding of cell-type organization. Single-cell transcriptomics can provide quantitative molecular signatures for large, unbiased samples of the diverse cell types in the brain 1, 2, 3. Nature volume 598, pages 103–110 ( 2021) Cite this article Professional and complete single-cell sequencing service platform with personalized and customized experimental protocols.A transcriptomic and epigenomic cell atlas of the mouse primary motor cortex.Professional single-nuclear sequencing data processing methods and personalized analysis methods and processes.High standard quality control steps to ensure the authenticity of sequencing data.Exploring cellular components and cellular characteristics.Descriptions of some of the methods used in the published article.And inform about the specific information as well as the control and experimental samples (if there are groupings, describe in detail the grouping analysis information). Please provide the specific concentration, volume, preparation time, and species origin for each sample. All samples should be stored at -80☌, not repeatedly frozen and thawed, and transported on an adequate amount of dry ice. Please note that the sampling or extraction process should be kept as cold as possible. For cell samples, cell activity and morphological integrity are required, with a sample volume of not less than 1 µL.For tissue samples, fresh, frozen, or lightly fixed tissue is required, with a sample volume of not less than 1 g.Moreover, snRNA-seq can reduce the generation of pseudocellular taxa induced by enzymatic digestion and mechanical stress, and obtain rich genetic data such as intronic regions and intergenic regions. snRNA-seq mainly determines nuclear transcriptome, so it is more suitable for those cells that are difficult to isolate, such as adipocytes, neurons, etc. scRNA-seq requires too high quality for sequencing samples, but single-nuclear RNA sequencing solves this challenge well with good sample suitability. Single nuclei RNA sequencing is an alternative to scRNA-seq technology, which analyzes the nucleus of a cell rather than the intact cell. CD Genomics, as a biotechnology company focused on sequencing, provides researchers with single-nuclear RNA sequencing services based on our high-end sequencing technology platform to help their in-depth study of gene expression. Single-nuclei RNA sequencing (snRNA-seq) and single-cell RNA sequencing are both important methods for studying cellular gene expression, the difference lies in their applicability to different sample types. Reduced Representation Bisulfite Sequencing.
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