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rosettesep immunodensity-based cell separation  (STEMCELL Technologies Inc)

 
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    STEMCELL Technologies Inc rosettesep immunodensity-based cell separation
    SF3B1 mutation effect is independent of the biological background, but its manifestation depends on the transcriptomic profile. ( A ) The number of alternative splicing events (ASEs) identified with Iso-Seq <t>separated</t> by splicing event type in all groups investigated, differentiated by the novelty class. ( B ) Overlap between significantly altered ASEs in samples with the SF3B1 mutation identified in the three data sets used (cell lines, CLL patients, or MDS patients). ( C ) Correlation of isoform usage measured by the difference in PSI from all events listed in B ; namely, events called significant in at least one of the three data sets are shown. The colors of the dots correspond to significance reached only in one set: blue indicates x -axis only; red, y -axis only; light blue, both; and gray, none (i.e., called significant in a data set absent from the graph). Pearson correlation coefficient ( R ) and associated P -value ( P ) are given. ( D ) Violin plots with boxplots show the distribution of expression values of the genes with data set–specific ASEs from C . Significant differences are marked with as follows: (***) paired, two-tailed Student's t -test P -value < 0.001, (**) P -value < 0.01, (*) P -value < 0.05, (N.S.) not significant with P -value ≥ 0.05.
    Rosettesep Immunodensity Based Cell Separation, supplied by STEMCELL Technologies Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/rosettesep immunodensity-based cell separation/product/STEMCELL Technologies Inc
    Average 90 stars, based on 1 article reviews
    rosettesep immunodensity-based cell separation - by Bioz Stars, 2026-03
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    1) Product Images from "Long-read transcriptome sequencing of CLL and MDS patients uncovers molecular effects of SF3B1 mutations"

    Article Title: Long-read transcriptome sequencing of CLL and MDS patients uncovers molecular effects of SF3B1 mutations

    Journal: Genome Research

    doi: 10.1101/gr.279327.124

    SF3B1 mutation effect is independent of the biological background, but its manifestation depends on the transcriptomic profile. ( A ) The number of alternative splicing events (ASEs) identified with Iso-Seq separated by splicing event type in all groups investigated, differentiated by the novelty class. ( B ) Overlap between significantly altered ASEs in samples with the SF3B1 mutation identified in the three data sets used (cell lines, CLL patients, or MDS patients). ( C ) Correlation of isoform usage measured by the difference in PSI from all events listed in B ; namely, events called significant in at least one of the three data sets are shown. The colors of the dots correspond to significance reached only in one set: blue indicates x -axis only; red, y -axis only; light blue, both; and gray, none (i.e., called significant in a data set absent from the graph). Pearson correlation coefficient ( R ) and associated P -value ( P ) are given. ( D ) Violin plots with boxplots show the distribution of expression values of the genes with data set–specific ASEs from C . Significant differences are marked with as follows: (***) paired, two-tailed Student's t -test P -value < 0.001, (**) P -value < 0.01, (*) P -value < 0.05, (N.S.) not significant with P -value ≥ 0.05.
    Figure Legend Snippet: SF3B1 mutation effect is independent of the biological background, but its manifestation depends on the transcriptomic profile. ( A ) The number of alternative splicing events (ASEs) identified with Iso-Seq separated by splicing event type in all groups investigated, differentiated by the novelty class. ( B ) Overlap between significantly altered ASEs in samples with the SF3B1 mutation identified in the three data sets used (cell lines, CLL patients, or MDS patients). ( C ) Correlation of isoform usage measured by the difference in PSI from all events listed in B ; namely, events called significant in at least one of the three data sets are shown. The colors of the dots correspond to significance reached only in one set: blue indicates x -axis only; red, y -axis only; light blue, both; and gray, none (i.e., called significant in a data set absent from the graph). Pearson correlation coefficient ( R ) and associated P -value ( P ) are given. ( D ) Violin plots with boxplots show the distribution of expression values of the genes with data set–specific ASEs from C . Significant differences are marked with as follows: (***) paired, two-tailed Student's t -test P -value < 0.001, (**) P -value < 0.01, (*) P -value < 0.05, (N.S.) not significant with P -value ≥ 0.05.

    Techniques Used: Mutagenesis, Alternative Splicing, Expressing, Two Tailed Test



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    SF3B1 mutation effect is independent of the biological background, but its manifestation depends on the transcriptomic profile. ( A ) The number of alternative splicing events (ASEs) identified with Iso-Seq separated by splicing event type in all groups investigated, differentiated by the novelty class. ( B ) Overlap between significantly altered ASEs in samples with the SF3B1 mutation identified in the three data sets used (cell lines, CLL patients, or MDS patients). ( C ) Correlation of isoform usage measured by the difference in PSI from all events listed in B ; namely, events called significant in at least one of the three data sets are shown. The colors of the dots correspond to significance reached only in one set: blue indicates x -axis only; red, y -axis only; light blue, both; and gray, none (i.e., called significant in a data set absent from the graph). Pearson correlation coefficient ( R ) and associated P -value ( P ) are given. ( D ) Violin plots with boxplots show the distribution of expression values of the genes with data set–specific ASEs from C . Significant differences are marked with as follows: (***) paired, two-tailed Student's t -test P -value < 0.001, (**) P -value < 0.01, (*) P -value < 0.05, (N.S.) not significant with P -value ≥ 0.05.

    Journal: Genome Research

    Article Title: Long-read transcriptome sequencing of CLL and MDS patients uncovers molecular effects of SF3B1 mutations

    doi: 10.1101/gr.279327.124

    Figure Lengend Snippet: SF3B1 mutation effect is independent of the biological background, but its manifestation depends on the transcriptomic profile. ( A ) The number of alternative splicing events (ASEs) identified with Iso-Seq separated by splicing event type in all groups investigated, differentiated by the novelty class. ( B ) Overlap between significantly altered ASEs in samples with the SF3B1 mutation identified in the three data sets used (cell lines, CLL patients, or MDS patients). ( C ) Correlation of isoform usage measured by the difference in PSI from all events listed in B ; namely, events called significant in at least one of the three data sets are shown. The colors of the dots correspond to significance reached only in one set: blue indicates x -axis only; red, y -axis only; light blue, both; and gray, none (i.e., called significant in a data set absent from the graph). Pearson correlation coefficient ( R ) and associated P -value ( P ) are given. ( D ) Violin plots with boxplots show the distribution of expression values of the genes with data set–specific ASEs from C . Significant differences are marked with as follows: (***) paired, two-tailed Student's t -test P -value < 0.001, (**) P -value < 0.01, (*) P -value < 0.05, (N.S.) not significant with P -value ≥ 0.05.

    Article Snippet: Peripheral blood B cells were isolated via negative selection using RosetteSep immunodensity-based cell separation (Stemcell Technologies).

    Techniques: Mutagenesis, Alternative Splicing, Expressing, Two Tailed Test