Marseille - France
Transcriptomic analysis bridges the gap between genomics and proteomics, capturing the dynamic expression of genes as mRNA, which reflects the active genes within a cell. Together, these approaches ensure that changes in genetic code are linked to real-time gene expression and potential functional outcomes at the protein level.
RNA extraction is the process of isolating RNA from biological samples, such as cells or tissues. High-quality nucleic acid extraction and purification are the foundation of successful transcriptomic analysis
A gene expression assay by qPCR (quantitative Polymerase Chain Reaction) measures the amount of specific mRNA in a sample. It involves amplifying targeted gene sequences and quantifying their levels through fluorescence, providing insights into how actively genes are being expressed.
Single-cell RNA sequencing (scRNA-seq) analyzes gene expression at the individual cell level, providing detailed insights into the transcriptome of each cell. This cutting-edge technology is essential for understanding complex tissues, cellular diversity, and dynamic biological processes.
Library preparation involves converting extracted nucleic acids into a format suitable for sequencing. This includes fragmenting the sequences, adding adapter sequences (often with barcodes), and ensuring quality through purification and control steps.
Sequencing is the process of determining the precise order of nucleotides (A, T, C, and G) in a DNA or RNA molecule. It reveals the genetic code, allowing researchers to analyze genetic information, identify variations, and understand gene function and expression
Spatial transcriptomics maps RNA transcripts to specific locations within the tissue architecture. By integrating histological imaging with high-throughput sequencing, this approach enables to capture how gene expression varies across different cell types while maintaining their native spatial environment
