2022
DOI: 10.3390/biology11020260
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DRPPM-EASY: A Web-Based Framework for Integrative Analysis of Multi-Omics Cancer Datasets

Abstract: High-throughput transcriptomic and proteomic analyses are now routinely applied to study cancer biology. However, complex omics integration remains challenging and often time-consuming. Here, we developed DRPPM-EASY, an R Shiny framework for integrative multi-omics analysis. We applied our application to analyze RNA-seq data generated from a USP7 knockdown in T-cell acute lymphoblastic leukemia (T-ALL) cell line, which identified upregulated expression of a TAL1-associated proliferative signature in T-cell acu… Show more

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Cited by 7 publications
(4 citation statements)
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“…This PDF file includes: Figs. S1 to S9 References (74)(75)(76)(77)(78)(79)(80)(81)(82)(83)(84)(85) Other Supplementary Material for this manuscript includes the following: Data files S1 and S2 MDAR Reproducibility Checklist View/request a protocol for this paper from Bio-protocol.…”
Section: Supplementary Materialsmentioning
confidence: 99%
“…This PDF file includes: Figs. S1 to S9 References (74)(75)(76)(77)(78)(79)(80)(81)(82)(83)(84)(85) Other Supplementary Material for this manuscript includes the following: Data files S1 and S2 MDAR Reproducibility Checklist View/request a protocol for this paper from Bio-protocol.…”
Section: Supplementary Materialsmentioning
confidence: 99%
“…Interestingly, our analysis further revealed two distinct population of TRM-progenitor effector cells, which both contained high IL7R but with varying mid to high expression of GZMB (Figure 6). To facilitate an integrative gene expression analysis, samples can also be grouped based on genotype and explored by the DRPPM-EASY app (Obermayer et al 2022). Finally, prognosis biomarkers derived from each cluster or cell types can also be evaluated using the PATH-SURVEYOR suite (Obermayer et al 2023).…”
Section: Single-cell Rnaseq Shiny App Explorermentioning
confidence: 99%
“…Gene set enrichment analysis (GSEA) was performed using GSEA software version 4.0.3 (Massachusetts Institute of Technology); signal-to-noise ranking criteria was used as a default. ssGSEA 30,31 was used to derive a signature score for each progenitor myeloid subset as implemented in DRPPM-EASY 32 . Gene set was derived from mRNA profiling of HSC, GMP, CMP, MEP, and MPP as described 28 .…”
Section: Rna-sequencing and Bioinformatic Analysesmentioning
confidence: 99%