Unknown,Transcriptomics,Genomics,Proteomics

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Modulation of cell metabolic pathways and oxidative stress signaling contribute to acquired melphalan resistance in multiple myeloma cells

ABSTRACT: Multiple myeloma RPMI8226 cells adapted to growth in melphalan display a shift towards Warburg metabolism and modulated oxidative stress signaling Inhibitors targeting specific enzymes in these pathways are selectively toxic to the melphalan-resistant cells. The gene expression profiles were measured on 6 batches each of control and melphalan-treated RPMI8226 and RPMI8226-LR5 cells using Illumina Human HT-12 v3 Expression BeadChip (Illumina, San Diego, CA), which enables genome-wide expression analysis (more than 47 000 transcripts) of 24 samples in parallel on a single microarray.

ORGANISM(S): Homo sapiens

SUBMITTER: Animesh Sharma

PROVIDER: E-GEOD-60970 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Purpose: Evaluate the molecular changes associated with melphalan-induced cardiotoxicity and rescue by N-acetyl-L-cysteine (NAC) supplementation. Methods: RNA-Seq analysis was performed to analyze global transcriptome profiles of hiPSC-CMs treated with DMSO (Control group), 20 µM melphalan (Mel group), and 20 µM melphalan with 1 mM NAC (Mel+NAC group), respectively. The Illumina TruSeq technology was used to prepare RNA-Seq libraries, and next-generation sequencing was done via an Illumina HWI-ST1276. RNA sequence reads were aligned to the human reference genome (GRCh38) using STAR v2.5. HTSeq v0.6.1 was used to count the read numbers mapped of each gene, and then Fragments Per Kilobase Million (FPKM) was calculated to estimate gene abundance. Differential expression analysis was performed using the DESeq2 R package (2_1.6.3). The resulting P-values were adjusted using the Benjamini and Hochberg's approach. Results: As detected by RNA-Seq, more genes were down-regulated than up-regulated by the treatment of melphalan, whereas NAC supplementation resulted in more genes being up-regulated than down-regulated. Among the top 10 up-regulated genes by melphalan treatment, 4 were direct p53 effectors (CDKN1A, EDXR, TNFRSF10C, and GDF15). And among the top 10 down-regulated genes by melphalan treatment, 5 were correlated to cell adhesion (CDH13, CNTN1, SDK1, CTNND2, and PARD3B). In addition, the up- and down-regulation of genes involved in oxidative stress (e.g., DUOX2 and NOX4) following melphalan treatment (Mel vs. control) was attenuated with NAC supplementation (Mel+NAC vs. Control). Similarly, the up- and down-regulation of genes involved in cardiac muscle contraction (e.g., Ca2+ handling proteins CACNA1C, RYR2 and CASQ2 and cardiac contractile proteins TNNC1, ACTC1, TNNC1) and cardiac conduction (e.g., ATP2B2 and ABCC9) following melphalan treatment (Mel vs. Control) was attenuated with NAC supplementation (Mel+NAC vs. Control). Conclusion: NAC ameliorates melphalan-induced alteration of hiPSC-CM transcriptomic profiles.

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Modulation of cell metabolic pathways and oxidative stress signaling contribute to acquired melphalan resistance in multiple myeloma cells

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