Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA347825 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:In silico characterization of miRNA and long non-coding RNA interplay in multiple myeloma (95 MM lncRNA data sets)
| PRJNA347824 | ENA
Project description:In silico characterization of miRNA and long non-coding RNA interplay in multiple myeloma (30 PCL miRNA data sets)
| PRJNA417825 | ENA
Project description:The identification of deregulated microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) in multiple myeloma (MM) has progressively added a further level of complexity to MM biology. In addition, the cross-regulation between lncRNAs and miRNAs has begun to emerge, and theoretical and experimental studies have demonstrated the competing endogenous RNAs (ceRNAs) activity of lncRNAs as natural miRNA decoys in pathophysiological conditions, including cancer. Currently, information concerning lncRNA and miRNA interplay in MM is virtually absent. Herein, we investigated in silico the lncRNA and miRNA relationship in a representative datasets encompassing 95 MM and 30 plasma cell leukemia patients at diagnosis and in four normal controls, whose expression profiles were generated by a custom annotation pipeline to detect specific lncRNAs. We applied target prediction analysis based on miRanda and RNA22 algorithms to 235 lncRNAs and 459 miRNAs selected with a potential pivotal role in the pathology of MM. Among pairs that showed significant correlation between lncRNA and miRNA expression levels, we identified 10 lncRNA-miRNA relationships suggestive of novel ceRNA network with relevance in MM.
2017-11-09 | GSE106745 | GEO
Project description:The identification of deregulated microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) in multiple myeloma (MM) has progressively added a further level of complexity to MM biology. In addition, the cross-regulation between lncRNAs and miRNAs has begun to emerge, and theoretical and experimental studies have demonstrated the competing endogenous RNAs (ceRNAs) activity of lncRNAs as natural miRNA decoys in pathophysiological conditions, including cancer. Currently, information concerning lncRNA and miRNA interplay in MM is virtually absent. Herein, we investigated in silico the lncRNA and miRNA relationship in a representative datasets encompassing 95 MM and 30 plasma cell leukemia patients at diagnosis and in four normal controls, whose expression profiles were generated by a custom annotation pipeline to detect specific lncRNAs. We applied target prediction analysis based on miRanda and RNA22 algorithms to 235 lncRNAs and 459 miRNAs selected with a potential pivotal role in the pathology of MM. Among pairs that showed significant correlation between lncRNA and miRNA expression levels, we identified 10 lncRNA-miRNA relationships suggestive of novel ceRNA network with relevance in MM.
2017-11-09 | GSE106744 | GEO
Project description:The identification of deregulated microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) in multiple myeloma (MM) has progressively added a further level of complexity to MM biology. In addition, the cross-regulation between lncRNAs and miRNAs has begun to emerge, and theoretical and experimental studies have demonstrated the competing endogenous RNAs (ceRNAs) activity of lncRNAs as natural miRNA decoys in pathophysiological conditions, including cancer. Currently, information concerning lncRNA and miRNA interplay in MM is virtually absent. Herein, we investigated in silico the lncRNA and miRNA relationship in a representative datasets encompassing 95 MM and 30 plasma cell leukemia patients at diagnosis and in four normal controls, whose expression profiles were generated by a custom annotation pipeline to detect specific lncRNAs. We applied target prediction analysis based on miRanda and RNA22 algorithms to 235 lncRNAs and 459 miRNAs selected with a potential pivotal role in the pathology of MM. Among pairs that showed significant correlation between lncRNA and miRNA expression levels, we identified 10 lncRNA-miRNA relationships suggestive of novel ceRNA network with relevance in MM.
2017-02-10 | GSE87829 | GEO
Project description:The identification of deregulated microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) in multiple myeloma (MM) has progressively added a further level of complexity to MM biology. In addition, the cross-regulation between lncRNAs and miRNAs has begun to emerge, and theoretical and experimental studies have demonstrated the competing endogenous RNAs (ceRNAs) activity of lncRNAs as natural miRNA decoys in pathophysiological conditions, including cancer. Currently, information concerning lncRNA and miRNA interplay in MM is virtually absent. Herein, we investigated in silico the lncRNA and miRNA relationship in a representative datasets encompassing 95 MM and 30 plasma cell leukemia patients at diagnosis and in four normal controls, whose expression profiles were generated by a custom annotation pipeline to detect specific lncRNAs. We applied target prediction analysis based on miRanda and RNA22 algorithms to 235 lncRNAs and 459 miRNAs selected with a potential pivotal role in the pathology of MM. Among pairs that showed significant correlation between lncRNA and miRNA expression levels, we identified 10 lncRNA-miRNA relationships suggestive of novel ceRNA network with relevance in MM.
2017-02-10 | GSE87828 | GEO
Project description:In silico characterization of miRNA and long non-coding RNA interplay in multiple myeloma (30 PCL lncRNA data sets)
| PRJNA417826 | ENA
Project description:In silico characterization of miRNA and long non-coding RNA interplay in multiple myeloma
| PRJNA347817 | ENA
Project description:Long non-coding RNA (lncRNA) plays a vital role in Multiple Myeloma. Nevertheless, the exact expression features and functions of lncRNAs are still obscure.To investigate aberrantly expressed lncRNAs and mRNAs in MM, we screened the crucial differentially expressed lncRNA and mRNA in mononuclear cells from bone marrow of multiple myeloma patients and normal donors.These differentially expressed lncrnas are likely to play a key role in the development of MM, and may be used as a novel biomarker for the diagnosis or therapy of MM. We used microarrays to screen the candidate differentially expressed lncRNAs and mRNAs in mononuclear cells from bone marrow of multiple myeloma patients and normal donors .Subsequently,the candidate differentially expressed lncRNAs and mRNAs were verified by qRT-PCR.
2020-12-02 | GSE141260 | GEO
Project description:Multiple Myeloma (MM) is an incurable malignancy characterised by alterations of coding and non-coding genes that promote tumour growth and drug resistance. Despite the crucial role of long non-coding-RNAs (lncRNAs) in myeloma genesis is established, the functional role of the non-coding RNAome in MM remains largely unknown. We performed an unbiased CRISPR-Cas9 recessive screen targeting 671 lncRNAs in MM cell lines unvealing and prioritising a list of novel onco-lncRNAs essential for MM cell fitness and associated with high expression and poor prognosis in MM patients. Among them, RP11-350G8.5 emerged as the most promising vulnerability for MM cells, irrespective of their resistance to the standard-of-care bortezomib. We i) validated the oncogenic role of RP11-350G8.5 in vitro and in vivo; ii) characterised its function in relation to the unfolded protein stress response and induction of immunogenic cell death, and iii) shed light on its sub-cellular localisation, structural and chemical predictions of RNA-G-quadruplex-forming regions to pave the way to the development of novel therapeutics.
2024-08-20 | GSE273796 | GEO