Lenti-miR Library SW620, Pre vs Post Intrahepatic Selection
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE56318 | GEO | 2015/01/16
SECONDARY ACCESSION(S): PRJNA242911
REPOSITORIES: GEO
Similar Datasets
Project description:Cells were transduced with a lentiviral Lenti-miR library composed of 661 miRNAs (System Biosciences) at a low multiplicity of infection (MOI) such that each cell over-expressed a single miRNA. The transduced population was then injected intra-hepatically into NOD-SCID mice for in vivo selection of miRNAs that when over-expressed, either promoted or suppressed metastatic liver colonization. Genomic DNA PCR amplication and recovery of lenti-viral miRNA inserts was performed on cells prior to injection, and from liver nodules, according to the manufacturer’s protocol. miRNA array profiling allowed for miRNA insert quantification prior to and subsequent to in vivo selection. To use an unbiased approach to identify regulators of colon cancer metastasis, we transduced a population of colon cancer cells, SW620, with a lenti-miR library comprising of 661 human miRNAs, such that each individual cells over-express a single miRNA. The heterogenous population is then injected into the liver of immunodeficient mice. We theorized that cells over-expressing miRNAs that modulate colon cancer metastais will have differential representation in the whole population compared to a reference pool of cells. miRNAs that suppressed colon cancer metastasis will be lost in the resulting pool, while miRNAs that promote metastasis will be over-represented compared to the reference pool. Replicate pools of cells were transduced and injected into mice. After a period of 3-5 weeks, liver nodules were taken out and processed for lenti-viral derived miRNA profiling (Post samples) and compared to the reference pool of cells that were not injected into the mice (Pre Samples). The changes in miRNA representation between cells that underwent liver colonization were analyzed.
2015-01-16 | E-GEOD-56318 | biostudies-arrayexpress
Project description:Cells were transduced with a lentiviral Lenti-miR library composed of 661 miRNAs (System Biosciences) at a low multiplicity of infection (MOI) such that each cell over-expressed a single miRNA. The transduced population was then injected intra-hepatically into NOD-SCID mice for in vivo selection of miRNAs that when over-expressed, either promoted or suppressed metastatic liver colonization. Genomic DNA PCR amplication and recovery of lenti-viral miRNA inserts was performed on cells prior to injection, and from liver nodules, according to the manufacturer’s protocol. miRNA array profiling allowed for miRNA insert quantification prior to and subsequent to in vivo selection.
2015-01-16 | GSE56319 | GEO
Project description:Cells were transduced with a lentiviral Lenti-miR library composed of 661 miRNAs (System Biosciences) at a low multiplicity of infection (MOI) such that each cell over-expressed a single miRNA. The transduced population was then injected intra-hepatically into NOD-SCID mice for in vivo selection of miRNAs that when over-expressed, either promoted or suppressed metastatic liver colonization. Genomic DNA PCR amplication and recovery of lenti-viral miRNA inserts was performed on cells prior to injection, and from liver nodules, according to the manufacturer’s protocol. miRNA array profiling allowed for miRNA insert quantification prior to and subsequent to in vivo selection. To use an unbiased approach to identify regulators of colon cancer metastasis, we transduced a population of colon cancer cells, WiDR, with a lenti-miR library comprising of 661 human miRNAs, such that each individual cells over-express a single miRNA. The heterogenous population is then injected into the liver of immunodeficient mice. We theorized that cells over-expressing miRNAs that modulate colon cancer metastais will have differential representation in the whole population compared to a reference pool of cells. miRNAs that suppressed colon cancer metastasis will be lost in the resulting pool, while miRNAs that promote metastasis will be over-represented compared to the reference pool. Replicate pools of cells were transduced and injected into mice. After a period of 3-5 weeks, liver nodules were taken out and processed for lenti-viral derived miRNA profiling (Post samples) and compared to the reference pool of cells that were not injected into the mice (Pre Samples). The changes in miRNA representation between cells that underwent liver colonization were analyzed.
2015-01-16 | E-GEOD-56319 | biostudies-arrayexpress
Project description:Abstract: Background: MiRNA signatures in human sera have been reported for various tumor diseases. Here we generated miRNA profiles analyzing 1205 mature miRNA transcripts of serum samples of Wilms tumor patients, taken prior and after chemotherapy according to SIOP protocol 2001. Using a feature subset selection filter approach we identified a minimal number of miRNAs with a maximum contribution for the classification between treated and untreated patients and between patients and controls. Results: Analyzing 1205 mature miRNAs, we separated controls and Wilms tumor patients prior chemotherapy with an accuracy of 0.81. We obtained a similar accuracy (0.82) for the separation between controls and sera of Wilms tumor patients after preoperative chemotherapy. We identified 23 miRNAs that were differentially expressed in both comparisons. Subset selection improved the overall classification accuracy between controls and Wilms tumor patients prior and after chemotherapy to 0.94 and 0.91, respectively. Subset selection also allowed separating between Wilms tumor patients prior and after chemotherapy with an accuracy of 0.98. Conclusion: Our analysis identified serum based miRNA signatures that allowed separating between controls, untreated Wilms tumor patients, and Wilms tumor patients after chemotherapy with high accuracy for each of these comparisons.
2014-12-31 | GSE48137 | GEO
Project description:Transcriptional profiling of primary cutaneous anaplastic large cell lymphoma cell line Mac-1 cells transduced with lenti-virus vector harboring shRNA against SATB1 gene comparing control untreated Mac-1 cells and Mac-1 cells transduced with scrambled shRNA, in which SATB1 expression is not affected.
2013-12-31 | GSE50916 | GEO
Project description:DEAD-box RNA-binding proteins (RBPs) play a significant role in RNA metabolism to achieve cellular homeostasis, including miRNA biogenesis and transcription. Hypoxia induces stemness cell-like characteristics in cancer cells and promotes malignant progression. Despite the fact that hypoxia can induce the changes in protein and RNA modification, thereby regulating downstream gene expressions, how modifications at different molecular layers interplay with each other are poorly understood. Here we show that hypoxia induces HectH9-mediated K63-linked polyubiquitination of the DEAD-box protein DDX17 as well as reduces N6-methyladenosine (m6A) marks in pri-miRNAs. While m6A potentiates DDX17 binding to pri-miRNAs, decreased m6A modifications of pri-miRNAs and increased polyubiquitination of DDX17 under hypoxia lead to decreased DDX17 binding to pri-miRNAs binding. These events enhance the association of DDX17 with the ubiquitin receptor p300 and lead to a decrease in miRNA biogenesis, especially for miRNAs regulating stemness and stemness-related genes. In addition, polyubiquitinated DDX17 together with p300 upregulates H3K56Ac levels on the stemness and stemness-related genes, resulting in enhancement of tumor initiating ability. Post-transcriptionally, decreased miRNA production, including those targeting stemness genes or stemness-related genes, also facilitates tumor initiation. Together, hypoxia triggers DDX17 poly-ubiquitination, which orchestrates dual mechanisms to increase tumor initiating ability and promote tumor progression.
2018-03-09 | PXD006059 | JPOST Repository
Project description:The 22Rv1 and PC-3 cells were transduced with shMIMIC human lentiviral vectors (Horizon Discovery, Cambridge, UK) to stably overexpress miRNA-23c or -4328. The SMARTvector Non-Targeting Control (NTC) was expressed to serve as a negative control. The vectors contained a turbo green fluorescent protein (turboGFP) and a puromycin resistance gene cassette. After transduction, cells were cultured in a medium supplemented with 5 µg/mL puromycin (Takara Bio, Tokyo, Japan) for antibiotic selection. Overexpression was confirmed by monitoring the turboGFP by fluorescence microscopy and by RT-qPCR analysis of miRNA-23c and -4328 levels. Relative protein quantification was performed to compare protein expression in 22Rv1 and PC-3 single cell clones overexpressing miRNA-23c and -4328, compared to corresponding NTC cells. Single cell clones overexpressing either miRNA-23c (n = 3), -4328 (n = 3) or NTC (n = 3) were analyzed in triplicate.
2023-04-24 | PXD041683 | Pride
Project description:HUVECs were transduced with lentiviral vIRF1 or control lentivirus (pHAGE),microarray-based miRNA expression profiling was adopted and identified a set of miRNAs that were differentially expressed between vIRF1- and pHAGE-transduced HUVECs
2018-08-25 | GSE119034 | GEO
Project description:Maturation of canonical microRNA (miRNA) is initiated by DROSHA that cleaves the primary transcript (pri-miRNA). Over 1,800 miRNA loci are annotated in humans, but it remains largely unknown if and at which sites the pri-miRNAs are cleaved by DROSHA. Here we performed in vitro processing on a full set of human pri-miRNAs (miRBase v21) followed by sequencing. This comprehensive profiling enabled us to classify miRNAs based on DROSHA-dependence and map their cleavage sites with respective processing efficiency measures. Only 758 pri-miRNAs are confidently processed by DROSHA, while the majority may be non-canonical or false entries. Analyses of the DROSHA-dependent pri-miRNAs show key cis-elements for processing. We observe widespread alternative processing as well as unproductive cleavage events such as “nick” or “inverse” processing. SRSF3 is a broad-acting auxiliary factor modulating alternative processing and suppressing unproductive processing. The profiling data and methods developed in this study will allow systematic analyses of miRNA regulation.
2021-07-28 | PXD025767 | Pride
Project description:Schmitz2014 - RNA triplex formation
The model is parameterized using the
parameters for gene CCDC3 from Supplementary Table S1. The two
miRNAs which form the triplex together with CCDC3 are miR-551b and
miR-138.
This model is described in the article:
Cooperative gene regulation
by microRNA pairs and their identification using a
computational workflow.
Schmitz U, Lai X, Winter F,
Wolkenhauer O, Vera J, Gupta SK.
Nucleic Acids Res. 2014 Jul; 42(12):
7539-7552
Abstract:
MicroRNAs (miRNAs) are an integral part of gene regulation
at the post-transcriptional level. Recently, it has been shown
that pairs of miRNAs can repress the translation of a target
mRNA in a cooperative manner, which leads to an enhanced
effectiveness and specificity in target repression. However, it
remains unclear which miRNA pairs can synergize and which genes
are target of cooperative miRNA regulation. In this paper, we
present a computational workflow for the prediction and
analysis of cooperating miRNAs and their mutual target genes,
which we refer to as RNA triplexes. The workflow integrates
methods of miRNA target prediction; triplex structure analysis;
molecular dynamics simulations and mathematical modeling for a
reliable prediction of functional RNA triplexes and target
repression efficiency. In a case study we analyzed the human
genome and identified several thousand targets of cooperative
gene regulation. Our results suggest that miRNA cooperativity
is a frequent mechanism for an enhanced target repression by
pairs of miRNAs facilitating distinctive and fine-tuned target
gene expression patterns. Human RNA triplexes predicted and
characterized in this study are organized in a web resource at
www.sbi.uni-rostock.de/triplexrna/.
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2024-09-02 | BIOMD0000000530 | BioModels