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  2. Single-cell sequencing - Wikipedia

    en.wikipedia.org/wiki/Single-cell_sequencing

    Single-cell RNA sequencing (scRNA-seq) provides the expression profiles of individual cells and is considered the gold standard for defining cell states and phenotypes as of 2020. [44] Although it is impossible to obtain complete information on every RNA expressed by each cell, due to the small amount of material available, gene expression ...

  3. CITE-Seq - Wikipedia

    en.wikipedia.org/wiki/CITE-Seq

    CITE-Seq. CITE-Seq (C ellular I ndexing of T ranscriptomes and E pitopes by Seq uencing) is a method for performing RNA sequencing along with gaining quantitative and qualitative information on surface proteins with available antibodies on a single cell level. [1] So far, the method has been demonstrated to work with only a few proteins per cell.

  4. Single-cell transcriptomics - Wikipedia

    en.wikipedia.org/wiki/Single-cell_transcriptomics

    Single-cell transcriptomics. Single-cell transcriptomics examines the gene expression level of individual cells in a given population by simultaneously measuring the RNA concentration (conventionally only messenger RNA (mRNA)) of hundreds to thousands of genes. [1] Single-cell transcriptomics makes it possible to unravel heterogeneous cell ...

  5. RNA-Seq - Wikipedia

    en.wikipedia.org/wiki/RNA-Seq

    RNA-Seq can also be used to determine exon/intron boundaries and verify or amend previously annotated 5' and 3' gene boundaries. Recent advances in RNA-Seq include single cell sequencing, bulk RNA sequencing, [6] 3' mRNA-sequencing, in situ sequencing of fixed tissue, and native RNA molecule sequencing with single-molecule real-time sequencing. [7]

  6. Single-cell analysis - Wikipedia

    en.wikipedia.org/wiki/Single-cell_analysis

    This single cell shows the process of the central dogma of molecular biology, which are all steps researchers are interested to quantify (DNA, RNA, and Protein).. In the field of cellular biology, single-cell analysis and subcellular analysis [1] is the study of genomics, transcriptomics, proteomics, metabolomics and cellcell interactions at the single cell level.

  7. File:Single cell RNA-Seq workflow.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Single_cell_RNA-Seq...

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

  8. Transcriptomics technologies - Wikipedia

    en.wikipedia.org/wiki/Transcriptomics_technologies

    UMIs are particularly well-suited to single-cell RNA-Seq transcriptomics, where the amount of input RNA is restricted and extended amplification of the sample is required. [73] [74] [75] Once the transcript molecules have been prepared they can be sequenced in just one direction (single-end) or both directions (paired-end).

  9. Genome-wide CRISPR-Cas9 knockout screens - Wikipedia

    en.wikipedia.org/wiki/Genome-wide_CRISPR-Cas9...

    Emerging technologies are aiming to combine pooled CRISPR screens with the detailed resolution of massively parallel single-cell RNA-sequencing (RNA-seq). Studies utilising “CRISP-seq”, [ 75 ] “CROP-seq”, [ 76 ] and “PERTURB-seq” [ 77 ] have demonstrated rich genomic readouts, accurately identifying gene expression signatures for ...