Single Cell Analysis
Unlocking the mystery inside single cells.
SingleX is an outstanding expert in the field of single-cell analysis. Equipped with a first-class technical platform and rich expertise in single-cell analysis, we offer the best one-stop solutions for single-cell analysis to promote your systematic investigation for cellular heterogeneity in a wide range of tissues and cell populations.
Bulk Analysis vs. Single Cell Analysis
It has been proved that both eukaryotic and prokaryotic cell populations are heterogeneous. This is to say individual cells in populations differ dramatically in size, protein levels, and expressed RNA transcripts. Hence it is not far enough to analyze the physiological characteristics on the level of homogenized cell population, which may ignore the critical changes occurring in individual cells. Single-cell analysis is performed to analyze the genomics, transcriptomics, proteomics, and metabolomics at the single-cell level, enabling it possible to discover mechanisms not seen when studying a bulk population of cells.
Single-cell sequencing is an approach to detect the gene sequence information at single-cell level, yielding a new understanding of the gene expression profiling of an individual cell between heterogeneous populations. SingleX offers a full range of single-cell sequencing and analysis services for worldwide clients leveraging our rich expertise in single-cell isolation, amplification, library construction, sequencing, and bioinformatics analysis. Please visit our single cell analysis listings as follows:
Single Cell Copy Number Variation (CNV) Analysis Single Cell Single Nucleotide Variation (SNV) Analysis Single Cell Insertion and Deletion (InDel) Analysis Single Cell Lineage Tracing Analysis Single Cell Gene Expression Analysis Single Cell Clustering Analysis Single Cell Type Identification Analysis Single Cell Marker Gene Detection Analysis Single Cell Diffenent Gene Analysis Between Different Cell Populations Single Cell Gene Ontology (GO) Analysis Single Cell KEGG Pathway Analysis Single Cell RNA Velocity Analysis Single Cell Pesudotime Analysis Single Cell Communication Analysis Single Cell TCGA Prognostic Combination Analysis Single Cell Chromatin Accessibility Analysis Single Cell DNA Methylation Analysis Single Cell Spatial Patterns of Gene Expression Analysis
Due to the heterogeneity present in cell populations, it is necessary to analyze the function of individual cells at high resolution. Single-cell function analysis provides a novel understanding of the function of an organ or tissue or system and the interaction of single cells on a global scale. For example, single tumor cell function analysis helps to explain the different responses of different patients to the same anti-cancer drug and the mechanism of anti-cancer drug resistance, promoting to develop more effective therapeutic strategies. SingleX is an expert in the field of single-cell analysis, we are dedicated to offering the highest quality services for single-cell function analysis for global clients leveraging our powerful technology platform and extensive expertise.
Single Live Cell Imaging by Microscopy Single Cell Tracking by Microscopy Single Cell Motility Monitoring Single Cell Biochemical Acitivity Measurement Single Cell Traction Forces Measurement Single Cell Antigen Specificity Measurement
- Powerful technical platforms allowing a comprehensive analysis for single cell
- Extensive expertise in single-cell analysis
- One-stop service from consultation, design, implement to after-sale service
SingleX is committed to being your research partner, helping you uncover the secrets of gene expression profiles between individual cells, discover previously undetected subpopulations, and reveal new insights into the composition, dynamics, and regulatory mechanisms of a heterogeneous cell population. If you are interested in our services, please do not hesitate to contact us to get more details.
- Goodell, M.A.; Bodine D.M. Single-cell technology meets hematology: introduction to a review series. Blood, 2019.
- Dulken, Ben W., et al. "Single-cell analysis reveals T cell infiltration in old neurogenic niches." Nature 571.7764 (2019): 205-210.
- DeTomaso, David, et al. "Functional interpretation of single cell similarity maps." Nature communications 10.1 (2019): 1-11.