{"id":37884,"date":"2025-03-02T18:28:50","date_gmt":"2025-03-03T02:28:50","guid":{"rendered":"https:\/\/www.novogene.com\/eu-en\/?page_id=37884"},"modified":"2025-11-16T22:49:49","modified_gmt":"2025-11-17T06:49:49","slug":"single-cell-rna-sequencing-scrna-seq","status":"publish","type":"page","link":"https:\/\/www.novogene.com\/eu-en\/services\/research-services\/transcriptome-sequencing\/single-cell-rna-sequencing-scrna-seq\/","title":{"rendered":"Single cell RNA sequencing (scRNA-seq)"},"content":{"rendered":"
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Sample Requirements<\/a><\/div>\n<\/div>\n<\/div>\n

Single-cell RNA sequencing (scRNA-seq) takes transcriptomics analysis a step further, providing unprecedented insights into the individual cellular heterogeneity within a population of seemingly identical cells in complex biological systems. This modern transcriptomics technology builds upon the foundations of bulk RNA-seq by incorporating microfluidics or other single-cell isolation techniques to keep track of RNA from individual cells. Generally speaking, scRNA-seq captures the mRNA from individual cells, converts it into complementary DNA (cDNA), and constructs barcoded libraries for high-throughput sequencing. By examining gene expression at the cellular level, scRNA-seq enables the identification of rare cell types, elucidates cellular states, and enhances the understanding of disease progression and mechanisms, and developmental biology, among others.<\/p>\n

At Novogene, our single-cell sequencing solutions are powered by the latest 10X Genomics\u2019 Chromium iX platform and the newest GEM-X chemistry, providing researchers with hassle-free, accurate and reliable results for their research. Our standardized, efficient end-to-end workflow is complete with sample processing and QC, single-cell library preparation, sequencing on the NovaSeq X Plus and bioinformatics analysis to assist with data interpretation, including the generation of \u201cpublication-ready\u2019\u2019 figures for easy data visualization. <\/p>\n

scRNA-seq has a broad range of applications in both academic research and in biopharmaceutical industry, including supporting studies requiring single-cell resolution<\/strong>\u00a0for understanding gene expression heterogeneity, identification of novel and rare cell types, biomarker discovery<\/strong>\u00a0and beyond.<\/p>\n