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(a) The distribution in RNA contained within the parental B16F0 cells (top panel) and B16F0 exosomes (bottom panel) was quantified using microfluidic electrophoresis (Agilent 2100 Bioanalyzer). (b) Hierarchical clustering of mRNA detected above background (p < 0.01) from four B16F0 exosomes and four B16F0 cell samples using Affymetrix Exon-level <t>cDNA</t> <t>microarrays.</t> (c) The overall distribution in exosome versus cellular abundance of mRNAs (gray curve) was deconvoluted into three normally distributed populations: mRNAs enriched in cells (red curve 67% of total), mRNAs equally distributed between cell and exosomes (black curve 30% of total), and mRNAs enriched in exosomes (blue curve 3% of total). (d) Using a more stringent gene call (p < 1e-9), a Venn diagram summarizes the number of mRNA genes differentially expressed between cell and exosome samples.
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(a) The distribution in RNA contained within the parental B16F0 cells (top panel) and B16F0 exosomes (bottom panel) was quantified using microfluidic electrophoresis (Agilent 2100 Bioanalyzer). (b) Hierarchical clustering of mRNA detected above background (p < 0.01) from four B16F0 exosomes and four B16F0 cell samples using Affymetrix Exon-level cDNA microarrays. (c) The overall distribution in exosome versus cellular abundance of mRNAs (gray curve) was deconvoluted into three normally distributed populations: mRNAs enriched in cells (red curve 67% of total), mRNAs equally distributed between cell and exosomes (black curve 30% of total), and mRNAs enriched in exosomes (blue curve 3% of total). (d) Using a more stringent gene call (p < 1e-9), a Venn diagram summarizes the number of mRNA genes differentially expressed between cell and exosome samples.

Journal: Pigment cell & melanoma research

Article Title: Melanoma exosomes deliver a complex biological payload that upregulates PTPN11 to suppress T lymphocyte function

doi: 10.1111/pcmr.12564

Figure Lengend Snippet: (a) The distribution in RNA contained within the parental B16F0 cells (top panel) and B16F0 exosomes (bottom panel) was quantified using microfluidic electrophoresis (Agilent 2100 Bioanalyzer). (b) Hierarchical clustering of mRNA detected above background (p < 0.01) from four B16F0 exosomes and four B16F0 cell samples using Affymetrix Exon-level cDNA microarrays. (c) The overall distribution in exosome versus cellular abundance of mRNAs (gray curve) was deconvoluted into three normally distributed populations: mRNAs enriched in cells (red curve 67% of total), mRNAs equally distributed between cell and exosomes (black curve 30% of total), and mRNAs enriched in exosomes (blue curve 3% of total). (d) Using a more stringent gene call (p < 1e-9), a Venn diagram summarizes the number of mRNA genes differentially expressed between cell and exosome samples.

Article Snippet: For pathway enrichment analysis, we focused on 145 mRNAs for genes that were more abundant in B16F0 exosomes ( , P <1e-9 versus the negative control probesets). fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window Figure 3 caption a7 caption a8 B16F0 exosomes contain mRNAs that are differentially expressed relative to parental cells (a) The distribution in RNA contained within the parental B16F0 cells (top panel) and B16F0 exosomes (bottom panel) was quantified using microfluidic electrophoresis (Agilent 2100 Bioanalyzer). (b) Hierarchical clustering of mRNA detected above background (p < 0.01) from four B16F0 exosomes and four B16F0 cell samples using Affymetrix Exon-level cDNA microarrays. (c) The overall distribution in exosome versus cellular abundance of mRNAs (gray curve) was deconvoluted into three normally distributed populations: mRNAs enriched in cells (red curve 67% of total), mRNAs equally distributed between cell and exosomes (black curve 30% of total), and mRNAs enriched in exosomes (blue curve 3% of total). (d) Using a more stringent gene call (p < 1e-9), a Venn diagram summarizes the number of mRNA genes differentially expressed between cell and exosome samples.

Techniques: Electrophoresis

Temporal omic data software, libraries and packages, tools and web resources ranged from fundamental data preprocessing, immediate analysis to advanced network and pathway and integration analysis

Journal: BioData Mining

Article Title: Computational dynamic approaches for temporal omics data with applications to systems medicine

doi: 10.1186/s13040-017-0140-x

Figure Lengend Snippet: Temporal omic data software, libraries and packages, tools and web resources ranged from fundamental data preprocessing, immediate analysis to advanced network and pathway and integration analysis

Article Snippet: DNASTAR GENOSTAR , Exon gene level Microarray, NGS, Protein, RNA-Seq, SNP Metagnomics, chip to chip , Visualizing and Comparing, Multiple Genome-Scale Assemblies modelling and simulation of regulatory networks Automated annotation. , http://www.dnastar.com/t-dnastar-lasergene.aspx http://www.genostar.com/category/products/gna/.

Techniques: Software, RNA Sequencing, Microarray, Methylation, Flow Cytometry, Activity Assay, Next-Generation Sequencing, Expressing