Multiple myeloma (MM), a plasma cell (PC) malignancy, is the second most common blood cancer. Despite extensive research, disease heterogeneity within and between patients is poorly characterized, hampering efforts for early diagnosis and improved treatments. Here, we apply single cell RNA-seq to study the heterogeneity of 40 individuals along the MM progression spectrum. We define malignant PC at single cell resolution, demonstrating high inter-patient variability that can be explained by expression of known MM drivers and additional putative factors. Within newly diagnosed patients, we identify extensive sub-clonal structures for 10/29 patients. In asymptomatic patients with early disease and in minimal residual disease post-treatment, we detect tumor PC for a subset of the patients, with the same drivers of active myeloma. Single cell analysis of rare circulating tumor cells (CTC) allows detection of malignant PC, which reflect the BM disease. Our work establishes scRNA-seq for dissecting blood malignancies and devising detailed molecular characterization of tumor cells in symptomatic and asymptomatic patients. Overall design: The study includes 29 newly diagnosed patients with plasma cell neoplasms and 11 control donors, for which bone marrow plasma cells were single cell sorted by FACS, and their mRNA sequenced. For 11 patients, targeted genomic DNA panel analysis for myeloma was performed.
Single cell dissection of plasma cell heterogeneity in symptomatic and asymptomatic myeloma.
Specimen part, Treatment, Subject
View SamplesPurpose: The goal of this study was to map the pathway of mRNA decay by human RNase L Methods: Total RNA was extracted (RNeasy kit, Qiagen). RNA integrity was verified by an RNA 6000 Nano Chip, using BioAnalyzer and 2100 Expert software (Agilent Technologies). The mRNA was enriched by oligo-dT pulldown from total RNA, followed by fragmentation, adapter ligation, PCR amplification, and finally sequencing on Illumina HiSeq 2000 platform. For sequencing introns, the oligo-dT pulldown step was replaced with Ribo-Zero rRNA removal (Illumina). Sequencing reads were mapped to the human genome hg19 using TopHat 2 set to map stranded reads with default parameters. Mapped read counts were obtained using HTseq-count run in union mode. Results: We developed an approach for transcriptome-wide profiling of RNase L activity in human cells and identified hundreds of direct RNA targets and non-targets. We show that this RNase L-dependent decay (RLDD) selectively affects transcripts regulated by miR-17/miR-29/miR-200 and other microRNAs that function as suppressors of mammalian cell adhesion and proliferation. RNase L mimics the effects of these microRNAs and acts as a suppressor of proliferation and adhesion in mammalian cells. Conclusions: Our data suggest that RLDD serves to establish an anti-proliferative state via destabilization of the microRNA-regulated transcriptome. Overall design: Human mRNA profiles from HeLa, T47D and HAP1 cells were generated by deep sequencing using Illumina Illumina HiSeq 2000.
Human RNase L tunes gene expression by selectively destabilizing the microRNA-regulated transcriptome.
No sample metadata fields
View SamplesThe germinal center (GC) is a microanatomical compartment wherein high-affinity antibody-producing B cells are selectively expanded. B cells proliferate and mutate their antibody genes in the dark zone (DZ) of the GC and are then selected by T cells in the light zone (LZ) on the basis of affinity. Here, we show that T cell help regulates the speed of cell cycle phase transitions and DNA replication of GC B cells. Genome sequencing and single-molecule analyses revealed that T cell help shortens S phase by regulating replication fork progression while preserving the relative order of replication origin activation. Thus, high-affinity GC B cells are selected by a mechanism that involves prolonged dwell time in the DZ where selected cells undergo accelerated cell cycles. Overall design: To determine whether GC B cells receiving high levels of T cell help show a specific change in gene expression, we compared DZ cells in the G1 phase of the cell cycle from aDEC-OVA and control aDEC-CS treated GCs using a fluorescent ubiquitination-based cell cycle indicator (Fucci-tg). RNA sequencing revealed that T cell-mediated selection produced an increase in gene expression programs associated with the cell cycle, metabolism, including the metabolism of nucleotides, and genes downstream of c-Myc and the E2F transcription factors.
HUMORAL IMMUNITY. T cell help controls the speed of the cell cycle in germinal center B cells.
No sample metadata fields
View SamplesWhole-transcriptome survey of gene expression differences between germ-free (GF) and conventionally raised (CONV-R) mice.
Analysis of gut microbial regulation of host gene expression along the length of the gut and regulation of gut microbial ecology through MyD88.
Specimen part
View SamplesmRNA regulation by the circadian protein Nocturnin in A549 cells. Overall design: Total RNA from WT and NOCT KO A549 cells were subject to poly-A pulldown and RNA-seq.
The metabolites NADP<sup>+</sup> and NADPH are the targets of the circadian protein Nocturnin (Curled).
Cell line, Subject
View SamplesWe analyzed transcriptional changes in 4 prostate cancer cell lines following treatment with the BET inhibitor I-BET762 using Affymetrix Human Genome U133 Plus 2.0 Arrays.
Inhibition of BET bromodomain proteins as a therapeutic approach in prostate cancer.
Cell line, Time
View SamplesWe investigated the molecular mechanisms for osteolytic bone metastasis by selecting human lung cancer cell line subpopulations with elevated metastatic activity and validating genes that are overexpressed in these cells. A bone-seeking squamous lung cancer cell line (HARA-B4) was established by sequentially injecting parental HARA cells into the left ventricle of male 5-week-old nude mice 4 times.
Involvement of CXCL14 in osteolytic bone metastasis from lung cancer.
Specimen part, Cell line
View SamplesThis SuperSeries is composed of the SubSeries listed below.
PIK3CA(H1047R) induces multipotency and multi-lineage mammary tumours.
Specimen part, Treatment
View SamplesThis study examined the effect of early pregnancy on the gene expression profiles of stromal and various epithelial mammary cell subpopulations in mice.
PIK3CA(H1047R) induces multipotency and multi-lineage mammary tumours.
Specimen part
View SamplesThis study examined the gene expression profile of mammary tumors derived from Lgr5- and K8-positive cell-of-origins
PIK3CA(H1047R) induces multipotency and multi-lineage mammary tumours.
Specimen part
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