Knowra Transcriptomics Transcriptomics Transcriptomics is the genome-wide study of RNA molecules produced in cells or tissues. It measures transcript abundance and variation to characterize gene expression.
RNA sequencing : A method that sequences RNA-derived molecules to identify and quantify transcripts. It is the main approach for measuring transcriptomes across many genes at once.
RNA : A nucleic acid made of ribose-containing nucleotides that performs coding, regulatory, and structural roles in cells. Transcriptomics measures RNA molecules rather than inferring expression from DNA alone.
Cell atlas : A reference map describing the types, states, and locations of cells in an organism or tissue. Single-cell transcriptomics helps identify cell types and states used to build these maps.
Genomics : The study of an organism's complete DNA sequence, organization, and variation. Genomics measures relatively stable DNA, while transcriptomics measures context-dependent RNA output.
Single-cell RNA sequencing : A sequencing method that measures RNA expression in individual cells. It separates cell-to-cell expression differences that bulk transcriptomics averages together.
Gene expression : The process by which information in a gene produces a functional RNA or protein product. Transcriptomics captures one broad layer of gene expression: RNA production and abundance.
Cancer transcriptomics : The study of RNA expression and transcript variation in cancer cells and tissues. Tumor expression profiles reveal molecular subtypes, altered pathways, and potential treatment targets.
Epigenomics : The genome-wide study of chemical modifications and structural features that regulate DNA activity. Epigenomic measurements examine regulatory states that can influence transcript production.
Microarray : A technology that measures nucleic acids by hybridizing them to probes fixed on a solid surface. It measures predefined transcripts, unlike sequencing methods that can detect previously unannotated RNA.
Messenger RNA : RNA molecules that carry protein-coding information from DNA to ribosomes. Many transcriptomic workflows enrich or otherwise prioritize messenger RNA.
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