An Introduction to the Analysis of Single-Cell RNA-Sequencing Data

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By Moayed al Suleiman Suleiman al borican Ahmad al Ahmadi
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An Introduction to the Analysis of Single-Cell RNA-Sequencing Data Aisha A. AlJanahi, Mark Danielsen, Cynthia E. Dunbar  Molecular Therapy - Methods & Clinical Development  Volume 10, Pages 189-196 (September 2018) DOI: 10.1016/j.omtm.2018.07.003 Copyright © 2018 Terms and Conditions

Figure 1 The Structure of Drop-Seq Bead and Resulting Sequence Libraries (A) The structure of a DropSeq single-cell sequencing bead. The oligos extending from the bead have a PCR primer, a cell barcode that is unique to the bead to label each cell, a UMI that is unique to each individual oligo arm to allow unique labeling of each captured molecule, and a poly(T) tail to capture poly(A)-tailed mRNAs. (B) Structure of the sequencing ready library. Red: PCR primers which are also used as sequencing primers. Green and blue: the cellular and molecular barcodes from the bead. Orange: the captured transcript with the poly(A/T) tail. Molecular Therapy - Methods & Clinical Development 2018 10, 189-196DOI: (10.1016/j.omtm.2018.07.003) Copyright © 2018 Terms and Conditions

Figure 2 Analysis Workflow Molecular Therapy - Methods & Clinical Development 2018 10, 189-196DOI: (10.1016/j.omtm.2018.07.003) Copyright © 2018 Terms and Conditions

Figure 3 Elbow Plot Analysis of Principle Components Variance A plot of the SD of each principal component, representing the amount of variance it contributes to the data. Here, the plot shows an elbow at around PC5. PC4 and PC6 are also valid choices for the PC cutoff. Molecular Therapy - Methods & Clinical Development 2018 10, 189-196DOI: (10.1016/j.omtm.2018.07.003) Copyright © 2018 Terms and Conditions