Spatial Transcriptomics
We offer the analysis of transcriptional activity in tissue sections.
Study of gene expression in histological sections.
The Spatial Transcriptomics technique provides insight into mRNA expression at the cellular level in structurally conserved tissues, providing a topographical arrangement of mapped gene expression patterns in tissue sections to link structure and activity.
The bioinformatics analysis we perform at Dreamgenics includes:
- Sequencing and mapping quality control.
- Alignment of reads against reference genome.
- Quantification of gene expression at the single cell level.
- Reduction of data dimensionality.
- Clustering or division of cells into different groups and subgroups.
- Analysis of differential gene expression, both global and spatial.
- Study of the evolutionary pattern or cell maturation (analysis of global and spatial trajectories).
- Study of cellular communication patterns (Cell Chat).
- Enrichment study, gene ontologies and pathways.
Bioinformatics Services
Learn more about our NGS data analysis services by downloading our brochure
Results in Genome One Reports
The results of all analyses result in interactive graphs that can be explored on our Genome One Reports platform and downloaded as PDFs for use in scientific publications.
- You will have access to the quality analysis of the sequences obtained.
- You will have access to the results of the Cell Ranger analysis.
- Cell Clustering (Global/Spatial/Annotated), Trajectory Analysis (Global/Spatial) and Cell Chat charts
- Enrichment of Gene Ontologies paths and terms (WikiPathways, GO-MF, GO-CC and GO-BP)
- All tables and figures are easily exportable, ready to be used in scientific publications.
Cell Clustering Annotated
Clustering Results GEX
Clustering Results Spatial
Differentially Expressed Genes
Space Feature Plot
Heatmap
Spatial Trajectories
Pseudotime trajectory
Trajectory Analysis
TOP 10 Expressed Genes Down in a trajectory line
TOP 10 Expressed Genes Up in a trajectory line
Cell chat
Heatmap cell chat
Incoming & Outgoing Communication Patterns
Principal Connections Between Cells
Analysis available
We offer a complete package of analyses delivered through our web-based Genome One Reports platform.
Expanded package
- Cell Clustering (2D & 3D)
- Spatial Clustering
- Differentially Expressed Genes
- TOP Differentially Expressed Genes
- TOP Spatial Differentially Expressed Genes
- Spatial Trajectory Analysis
- Trajectory Analysis
- Top 10 Expressed Genes (Up & Down) in a trajectory line
- Inter-cellular Contacts and Communication (CellChat)
- Pathways Enrichment (GSEA & GO Terms)
- Results in Genome One Reports
"Unlike traditional single cell analysis, spatial transcriptomics allows us to go a step further by revealing cellular orchestration within the complex microenvironment of tissue. This ability to analyze gene expression in its native spatial context not only facilitates the identification of new biomarkers, but also opens unexplored avenues for understanding the dynamic interaction between cells and their influence on the progression of the diseases we work with."
Dr. Elena Sánchez Luis
Researcher
