To better understand these tissues and the cell types present single cell rna seq scrna seq offers a glimpse into what genes are being expressed at the level of individual cells.
What is single cell rna sequencing.
These fragments are sequenced by high throughput next generation sequencing techniques and the reads are mapped back to the reference genome providing a count of the number of reads associated with each gene.
Single cell rna seq provides transcriptional profiling of thousands of individual cells.
Normalisation of rna seq data accounts for cell to cell variation in the efficiencies of.
However single cell rna sequencing scrna seq goes a step further.
Single cell rna seq why single cell rna seq.
Traditional rna seq methods analyzed the rna of an entire population of cells but only yielded a bulk average of the measurement instead of representing each individual cell s transcriptome.
By analyzing the transcriptome of a single cell at a time the heterogeneity of a sample is captured and resolved to the fundamental unit of living.
This might obscure biologically relevant differences between cells.
The single cell rna seq technique converts a population of rnas to a library of cdna fragments.
Single cell rna seq scrna seq represents an approach to overcome this problem.
This level of throughput analysis enables researchers to understand at the single cell level what genes are expressed in what quantities and how they differ across thousands of cells within a heterogeneous sample s.
Across human tissues there is an incredible diversity of cell types states and interactions.
It is meant to take a photographic still of all of the gene expression happening in one cell in that exact moment.
Theoretically it allows us to distinguish between the expression of cells within the same tissue which is absolutely amazing.