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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. Single-cell transcriptomics - Wikipedia

    en.wikipedia.org/wiki/Single-cell_transcriptomics

    RNA Seq Experiment. The single-cell RNA-seq technique converts a population of RNAs to a library of cDNA fragments. These fragments are sequenced by high-throughput next generation sequencing techniques and the reads are mapped back to the reference genome, providing a count of the number of reads associated with each gene. [13]

  4. 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.

  5. 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.

  6. RNA-Seq - Wikipedia

    en.wikipedia.org/wiki/RNA-Seq

    hide. Summary of RNA-Seq. Within the organism, genes are transcribed and (in an eukaryotic organism) spliced to produce mature mRNA transcripts (red). The mRNA is extracted from the organism, fragmented and copied into stable ds-cDNA (blue). The ds-cDNA is sequenced using high-throughput, short-read sequencing methods.

  7. Perturb-seq - Wikipedia

    en.wikipedia.org/wiki/Perturb-seq

    Perturb-seq is a reverse genetics approach that allows for the investigation of phenotypes at the level of the transcriptome, to elucidate gene functions in many cells, in a massively parallel fashion. The Perturb-seq protocol uses CRISPR technology to inactivate specific genes and DNA barcoding of each guide RNA to allow for all perturbations ...

  8. 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.

  9. List of RNA-Seq bioinformatics tools - Wikipedia

    en.wikipedia.org/wiki/List_of_RNA-Seq...

    Some tools available to bulk RNA-Seq are also applied to single cell analysis, however to face the specificity of this technique new algorithms were developed. CEL-Seq [114] single-cell RNA-Seq by multiplexed linear amplification. Drop-Seq [115] Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets.

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