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  2. Spatial transcriptomics - Wikipedia

    en.wikipedia.org/wiki/Spatial_transcriptomics

    RNA sequencing of the selected regions in individual cryosections is another method that can produce location-based genome-wide expression data. [8] This method is carried out without laser capture microdissection. It was first used to determine genome-wide spatial patterns of gene expression in cryo-sliced Drosophila embryos. [8]

  3. Fluorescent in situ sequencing - Wikipedia

    en.wikipedia.org/wiki/Fluorescent_in_situ_sequencing

    FISSEQ combines the spatial context of RNA-FISH and the global transcriptome profiling of RNA-seq. [1] FISSEQ preserves the tissue allowing single molecule in situ RNA localization. The foundation of the method is a novel nucleic acid sequencing library construction method that stably cross-links cDNA amplicons within biological samples. [2]

  4. File:RNA-Seq workflow-5.pdf - Wikipedia

    en.wikipedia.org/wiki/File:RNA-Seq_workflow-5.pdf

    تتابع الحمض النووي الريبي RNA; Usage on en.wikiversity.org WikiJournal of Science/A broad introduction to RNA-Seq; Usage on gl.wikipedia.org RNA-Seq; Usage on he.wikipedia.org ריצוף ברמת התא הבודד; Usage on ja.wikipedia.org 利用者:Iaacc/sandbox; Usage on vi.wikipedia.org DNA bổ sung

  5. RNA-Seq - Wikipedia

    en.wikipedia.org/wiki/RNA-Seq

    RNA-Seq (named as an abbreviation of RNA sequencing) is a technique that uses next-generation sequencing to reveal the presence and quantity of RNA molecules in a biological sample, providing a snapshot of gene expression in the sample, also known as transcriptome.

  6. Deterministic Barcoding in Tissue for Spatial Omics Sequencing

    en.wikipedia.org/wiki/Deterministic_Barcoding_in...

    This method allows for simultaneous spatial transcriptomic and proteomic analysis of a tissue sample. DBiT-seq improves upon previous spatial transcriptomics applications such as High-Definition Spatial Transcriptomics (HDST) and Slide-seq by increasing the number of detectable genes per pixel, increased cellular resolution, and ease of ...

  7. Transcriptome - Wikipedia

    en.wikipedia.org/wiki/Transcriptome

    RNA-seq is emerging (2013) as the method of choice for measuring transcriptomes of organisms, though the older technique of DNA microarrays is still used. [1] RNA-seq measures the transcription of a specific gene by converting long RNAs into a library of cDNA fragments. The cDNA fragments are then sequenced using high-throughput sequencing ...

  8. Single-cell transcriptomics - Wikipedia

    en.wikipedia.org/wiki/Single-cell_transcriptomics

    Normalisation of RNA-seq data accounts for cell to cell variation in the efficiencies of the cDNA library formation and sequencing. One method relies on the use of extrinsic RNA spike-ins (RNA sequences of known sequence and quantity) that are added in equal quantities to each cell lysate and used to normalise read count by the number of reads ...

  9. Transcriptomics technologies - Wikipedia

    en.wikipedia.org/wiki/Transcriptomics_technologies

    RNA-Seq refers to the combination of a high-throughput sequencing methodology with computational methods to capture and quantify transcripts present in an RNA extract. [10] The nucleotide sequences generated are typically around 100 bp in length, but can range from 30 bp to over 10,000 bp depending on the sequencing method used.