Show pageBacklinksCite current pageExport to PDFBack to top This page is read only. You can view the source, but not change it. Ask your administrator if you think this is wrong. Transcriptomic analysis is the comprehensive study of all messenger RNA (mRNA) molecules transcribed from DNA in a cell or tissue at a specific time โ collectively known as the transcriptome. ๐ Key Concepts Transcriptome: The full set of RNA transcripts (mainly mRNA) expressed by the genome under specific conditions. Purpose: To understand gene expression patterns, identify disease markers, alternative splicing events, non-coding RNAs, or responses to treatments or environmental stimuli. ๐งช Common Techniques RNA sequencing (RNA-seq): High-throughput sequencing of RNA to quantify gene expression levels. Microarrays: Older method using hybridization to measure RNA abundance. qRT-PCR: Quantitative real-time PCR used for targeted validation. ๐ง Applications Cancer research: Identify oncogenes, tumor suppressor activity, or therapy targets. Neuroscience: Understand cell-type-specific expression in brain regions. Developmental biology: Track gene activity over time. Pharmacogenomics: Study how drugs influence gene expression. โ ๏ธ Limitations Sensitive to RNA quality and degradation. Requires robust bioinformatics pipelines. Interpretation may be confounded by cellular heterogeneity. transcriptomic_analysis.txt Last modified: 2025/07/09 14:50by administrador