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Everything about Transcriptomics technologies

Study of RNA transcripts

Transcriptomics technologies are the techniques used to study an organism's transcriptome, the sum of all of its RNA transcripts. The information content of an organism is recorded in the DNA of its genome and expressed through transcription. Here, mRNA serves as a transient intermediary molecule in the information network, whilst non-coding RNAs perform additional diverse functions. A transcriptome captures a snapshot in time of the total transcripts present in a cell. Transcriptomics technologies provide a broad account of which cellular processes are active and which are dormant. A major challenge in molecular biology is to understand how a single genome gives rise to a variety of cells. Another is how gene expression is regulated. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Transcriptomics technologiesA 5-minute orientation
  2. Skim a recent paper: SPIRAL: integrating and aligning spatially resolved transcriptomics data across different experiments, conditions, and technologiesInfluential work since 2022
  3. Pick up a classic book: ZebrafishThe most-reprinted book on the subject
  4. Read the landmark paper: Integrating single-cell transcriptomic data across different conditions, technologies, and speciesCited 13,443 times
  5. Go sideways: TranscriptomeA closely related topic
  6. Go sideways: RNA-SeqA closely related topic

📖 Definitions

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🗂️ The subject at a glance

  1. History
  2. Data gathering
  3. Data analysis
  4. Applications
  5. Transcriptome databases

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics