2022
DOI: 10.3390/cancers14040927
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Bone Marrow Stroma-Induced Transcriptome and Regulome Signatures of Multiple Myeloma

Abstract: Multiple myeloma (MM) is a hematological cancer with inevitable drug resistance. MM cells interacting with bone marrow stromal cells (BMSCs) undergo substantial changes in the transcriptome and develop de novo multi-drug resistance. As a critical component in transcriptional regulation, how the chromatin landscape is transformed in MM cells exposed to BMSCs and contributes to the transcriptional response to BMSCs remains elusive. We profiled the transcriptome and regulome for MM cells using a transwell cocultu… Show more

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Cited by 17 publications
(19 citation statements)
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References 99 publications
(189 reference statements)
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“…NextSeq2000 was used to generate the sequencing data of 36 million clusters (or 72 million F + R reads) per sample with the P3 flow cell at Marshal University Genomics Core (Huntington, WV, USA). RNA-Seq data analysis follows our previous work [ 34 , 35 ]: briefly, RNA-Seq read aligned to human genome by subread [ 36 ], read counts summarized based on RefSeq gene annotation by featurecount [ 37 ], expression level quantification by RPKM [ 38 ] with an in-house script, visualization of gene expression by MeV [ 39 ], prediction of differentially expressed (DE) genes by EdgeR (FDR = 0.05; |log2FC| > 1, and log2(Count Per million) > 0), and gene set enrichment analysis against hallmark gene sets by GSEA [ 40 , 41 ].…”
Section: Methodsmentioning
confidence: 99%
“…NextSeq2000 was used to generate the sequencing data of 36 million clusters (or 72 million F + R reads) per sample with the P3 flow cell at Marshal University Genomics Core (Huntington, WV, USA). RNA-Seq data analysis follows our previous work [ 34 , 35 ]: briefly, RNA-Seq read aligned to human genome by subread [ 36 ], read counts summarized based on RefSeq gene annotation by featurecount [ 37 ], expression level quantification by RPKM [ 38 ] with an in-house script, visualization of gene expression by MeV [ 39 ], prediction of differentially expressed (DE) genes by EdgeR (FDR = 0.05; |log2FC| > 1, and log2(Count Per million) > 0), and gene set enrichment analysis against hallmark gene sets by GSEA [ 40 , 41 ].…”
Section: Methodsmentioning
confidence: 99%
“…RNA-Seq data processing followed our previous procedures ( 56 , 57 ). In brief, single end RNA-Seq reads were aligned to the mouse reference genome (mm10) by sub-read ( 58 ).…”
Section: Methodsmentioning
confidence: 99%
“…RNA-Seq data analysis followed our previous work ( 24 ). Pair-end RNA-Seq read were mapped to the mouse genome (mm10) by subread v2.0.1 with default parameters ( 25 ).…”
Section: Methodsmentioning
confidence: 99%