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GSE70323
Homo sapiens
246 Downloadable Samples
Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Disentangling the microRNA regulatory milieu in multiple myeloma: integrative genomics analysis outlines mixed miRNA-TF circuits and pathway-derived networks modulated in t(4;14) patients.
Sample Metadata Fields
Specimen part, Disease, Disease stage, Subject
View Samples- Homo sapiens
- 93 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
The identification of deregulated miRNA in multiple myeloma (MM) has progressively added a further level of complexity to MM biology. In the present study, we take virtue of in silico integrative genomics analysis to generate an unprecedented global view of the transcriptional regulatory networks modulated in MM to define microRNAs impacting in regulatory circuits with potential functional and clinical relevance. miRNA and gene expression profiles in two large representative MM datasets, available from retrospective and prospective clinical trials and encompassing a total of 249 patients at diagnosis, were analyzed by means of two robust computational procedure to identify (i) relevant miRNA/transcription factors/target gene circuits in the disease and (ii) highly modulated miRNA-gene networks in those pathways enriched with miRNA-target gene interactions in specific MM subgroups. The analysis reinforced the pivotal role the miRNA cluster miR-99b/let-7e/miR-125a, specifically deregulated in MM patients with t(4;14) translocation, and disentangled its major relationships with transcriptional relevance. Integrated pathway analyses performed on the expression data of the MM patients stratified according to t(4;14) further allowed to define the pathway composed by the interactions that mainly characterize this MM subset and unravel connected pathways with putative role in the tumor biology.
Publication Title
Disentangling the microRNA regulatory milieu in multiple myeloma: integrative genomics analysis outlines mixed miRNA-TF circuits and pathway-derived networks modulated in t(4;14) patients.
Sample Metadata Fields
Disease, Disease stage
View Samples- Homo sapiens
- 27 Downloadable Samples
Illumina HiSeq 2000
Description
Multiple myeloma (MM) is a malignant proliferation of bone marrow plasma cells (PCs) characterized by highly heterogeneous genetic background and clinical course, and whose pathogenesis remains largely unknown. Long ncRNAs (lncRNAs) are a large class of non-protein-coding RNA, involved in many physiological cellular and genomic processes as well as in carcinogenesis, cancer metastasis and invasion. Although still in its infancy, the knowledge of the role of lncRNAs in MM is progressively expanding. Besides studies on selected candidates, lncRNAs expression at genome-wide transcriptome level is confined to microarray technologies, thus investigating a limited collection of transcripts. Herein, we assessed the lncRNAs expression profiling by RNA-sequencing in a cohort of 30 MM patients, aimed at defining a comprehensive catalogue of lncRNAs specifically associated with the main MM molecular subgroups and genetic alterations. We identified 391 deregulated lncRNAs, 67% of which were also detectable and validated by whole-transcript microarrays. In addition, we identified a list of lncRNAs, with potential relevance in MM, co-expressed and in close proximity to genes that might undergo a cis-regulatory relationship. Overall design: Total RNA samples from highly purified plasma cells of 30 MM cases at onset
Publication Title
Expression Pattern and Biological Significance of the lncRNA ST3GAL6-AS1 in Multiple Myeloma.
Sample Metadata Fields
Specimen part, Disease, Disease stage, Subject
View Samples- Homo sapiens
- 28 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
The identification of deregulated miRNA in multiple myeloma (MM) has progressively added a further level of complexity to MM biology. In the present study, we take virtue of in silico integrative genomics analysis to generate an unprecedented global view of the transcriptional regulatory networks modulated in MM to define microRNAs impacting in regulatory circuits with potential functional and clinical relevance. miRNA and gene expression profiles in two large representative MM datasets, available from retrospective and prospective clinical trials and encompassing a total of 249 patients at diagnosis, were analyzed by means of two robust computational procedure to identify (i) relevant miRNA/transcription factors/target gene circuits in the disease and (ii) highly modulated miRNA-gene networks in those pathways enriched with miRNA-target gene interactions in specific MM subgroups. The analysis reinforced the pivotal role the miRNA cluster miR-99b/let-7e/miR-125a, specifically deregulated in MM patients with t(4;14) translocation, and disentangled its major relationships with transcriptional relevance. Integrated pathway analyses performed on the expression data of the MM patients stratified according to t(4;14) further allowed to define the pathway composed by the interactions that mainly characterize this MM subset and unravel connected pathways with putative role in the tumor biology.
Publication Title
Disentangling the microRNA regulatory milieu in multiple myeloma: integrative genomics analysis outlines mixed miRNA-TF circuits and pathway-derived networks modulated in t(4;14) patients.
Sample Metadata Fields
Specimen part, Disease, Subject
View Samples- Homo sapiens
- 16 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
The biological role and therapeutic potential of long non-coding RNAs (lncRNAs) in multiple myeloma (MM) are still to be investigated. Here, we studied the functional significance and the druggability of the oncogenic lncRNA MALAT1 in MM. Targeting MALAT1 by novel LNA-gapmeR anti-sense oligonucleotide antagonized MM cell proliferation and triggered apoptosis both in vitro and in vivo in a murine xenograft model of human MM. Of note, antagonism of MALAT1 dowmodulated the two major transcriptional activators of proteasome subunit genes, namely NRF1 and NRF2, and resulted in reduced trypsin, chymotrypsin and caspase-like proteasome activities and in accumulation of polyubiquitinated proteins. NRF1 and NRF2 decrease upon MALAT1-targeting was due to transcriptional activation of their negative regulator KEAP1, and resulted in reduced expression of anti-oxidant genes and increased ROS levels. In turn, NRF1 promoted MALAT1 expression thus establishing a positive feedback loop. Our findings demonstrate a crucial role of MALAT1 in the regulation of the proteasome machinery, and provide proof-of-concept that its targeting is a novel powerful option for the treatment of MM.
Publication Title
Drugging the lncRNA MALAT1 via LNA gapmeR ASO inhibits gene expression of proteasome subunits and triggers anti-multiple myeloma activity.
Sample Metadata Fields
Specimen part, Cell line, Time
View Samples- Homo sapiens
- 32 Downloadable Samples
- Affymetrix Human Gene 1.1 ST Array (hugene11st), Illumina Genome Analyzer IIx
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Genome-wide screen of cell-cycle regulators in normal and tumor cells identifies a differential response to nucleosome depletion.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Homo sapiens
- 32 Downloadable Samples
- Illumina Genome Analyzer IIx, Affymetrix Human Gene 1.1 ST Array (hugene11st)
Description
Gene-expression in siRNA treated U2OS and hTERT-RPE1 cells showed that CASP8AP2, NPAT and HINFP do not regulate expression of each other, and do not have any common target genes, except histones. Most histone genes are downregulated in U2OS cells following loss of CASP8AP2, NPAT or HINFP. In normal cells, highly-expressed histone genes were downregulated, albeit less than in tumor cells following loss of CASP8AP2. The p53 target genes were upregulated relatively late, clearly after the changes in expression of histone genes were observed.
Publication Title
Genome-wide screen of cell-cycle regulators in normal and tumor cells identifies a differential response to nucleosome depletion.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 7 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
TF binding clusters in promoter correlate well with gene expression. We used ChIP-seq to map binding sites of the majority of highly expressed TFs in the cell. The size of clusters of TFs in the promoters of genes were found to correlate well with gene expression.
Publication Title
Transcription factor binding in human cells occurs in dense clusters formed around cohesin anchor sites.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 20 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Gene expression profiles of 10 uterine leiomyomas and their matched normal myometrium specimens were studied using Affymetrix GeneChip Human Genome U133 Plus 2.0 gene expression arrays. Four tumors displayed a codon 44 mutation, four carried a intron 1 mutation, and the remaining two displayed no MED12 mutation.
Publication Title
MED12, the mediator complex subunit 12 gene, is mutated at high frequency in uterine leiomyomas.
Sample Metadata Fields
Specimen part, Subject
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
To identify downstream targets of Jak/Stat3 pathways without being distracted by differentiation signalings from MEK/ERK pathway, we exploited a engineered B6 cells, which stably stably expressing a chimeric receptor (GRgp-Y118F). The chimeric receptor can induce the phosphorylation of Stat3 by GCSF without activating the MEK/ERK pathway. To mimic the effect of GCSF, the chimeric B6 cells were also treated with LIF plus a selective MEK chemical inhibitor, PD0325901, to induce LIF/Jak/Stat3 but MEK/ERK pathways.
Publication Title
Gbx2, a LIF/Stat3 target, promotes reprogramming to and retention of the pluripotent ground state.
Sample Metadata Fields
Cell line
View Samples