Polysome profiling RNA seq experiments on extracts from METTL3-WT and METTL3-K177Q reconstituting cells
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE183016 | GEO | 2022/09/20
REPOSITORIES: GEO
Similar Datasets
Project description:polysome profiling RNA seq experiments on extracts from METTL3-WT and METTL3-K177Q reconstituting cells
| PRJNA758823 | ENA
Project description:Polysome profiling is a widely used method to monitor the translation status of mRNAs. Although it is theoretically a simple technique, it is labor intensive. Repetitive polysome fractionation rapidly generates a large number of samples to be handled in the downstream processes of protein elimination, RNA extraction and quantification. Here, we propose a multiplex polysome profiling experiment in which distinct cellular extracts are pooled before loading on the sucrose gradient for fractionation. We used the multiplexing method to study translation in E. coli. Multiplexing polysome profiling experiments provided similar mRNA translation status to that obtained with the non-multiplex method with comparable distribution of mRNA copies between the polysome profiling fractions, similar ribosome occupancy and ribosome density. The multiplexing method was used for parallel characterization of gene translational responses to changing mRNA levels. When the mRNA level of two native genes, cysZ and lacZ was increased by transcription induction, their global translational response was similar, with a higher ribosome load leading to increased ribosome occupancy and ribosome densities. However the pattern and the magnitude of the translational response were gene specific. By reducing the number of polysome profiling experiments, the multiplexing method saved time and effort and reduced cost and technical bias. This method would be useful to study the translational effect of mRNA sequence-dependent parameters that often require testing multiple samples and conditions in parallel.
| S-EPMC6380557 | biostudies-literature
Project description:Polysome analysis is a method to separate mRNAs from a cell into actively translating and non-translating fractions depending on their association with polysomes. By this protocol, cell lysates are fractionated by sucrose density gradient ultracentrifugation. Free mRNA fraction and various ribosomal fractions, such as 40S, 60S, monosomes and polysomes are collected by fractionation. Association of particular mRNAs with these fractions is detected by reverse transcription - PCR to investigate the translational state of the mRNA.
| S-EPMC5466151 | biostudies-literature
Project description:We performed the polysome profiling sequencing in nine arabidopsis tissues across its life cycle to reveal the correlations of translation efficiency to RNA modifications.
2025-01-15 | GSE277201 | GEO
Project description:To investigate the CD140a+ mesenchymal cell heterogeneity in the lung in both steady and tumor-bearing conditions, we utilized CD140aEGFP reporter mice, and purified CD140a+ lung mesenchymal cells from naive and tumor-bearing mice and performed scRNA-seq.
2022-11-01 | E-MTAB-11902 | biostudies-arrayexpress
Project description:We report the application of MeRIP sequencing technology for high-throughput profiling of m6A methylome in breast cancer cells. Comparison of m6A methylome between METTL3-WT and METTL3-K177Q reconstituting cells revealed the following findings: 1) Significant global alteration of methylation sites due to K177Q mutation (termed as KQ-m6A signature). 2) GO analysis of the differential m6A-MeRIP candidates enriched pathways involved in chromatin modification, RNA splicing, DNA damage, cell cycle, and autophagy, consistent with a critical role of m6A-mediated nuclear biological activities and highlighted generally recognized cellular events associated with tumorigenesis. 3) we dissected potential mechanistic clues explaining the attenuated invasive phenotype in METTL3K177Q reconstituting cells.
2022-09-20 | GSE183014 | GEO
Project description:The hematopoietic stem cell (HSC) compartment is composed of long-term reconstituting (LTR) and short-term reconstituting (STR) stem cells. LTR HSC can reconstitute the hematopoietic system for life, whereas STR HSC can sustain hematopoiesis for only a few weeks in the mouse. Several excellent gene expression profiles have been obtained of the total hematopoietic stem cell population. We have used five-color FACS sorting to isolate separate populations of LTR and STR stem cell subsets. The LTR HSC has the phenotype defined as Lin- Sca+ Kit+ 38+ 34-; two subsets of STR HSC were obtained with phenotypes of Lin- Sca+ Kit+ 38+ 34+ and Lin- Sca+ Kit+ 38- 34+. The microarray profiling study reported here was able to identify genes specific for LTR functions. In the interrogated genes (approximately 12,000 probe sets corresponding to 8,000 genes), 210 genes are differentially expressed, and 72 genes are associated with LTR activity, including membrane proteins, signal transduction molecules, and transcription factors. Hierarchical clustering of the 210 differentially expressed genes suggested that they are not bone marrow-specific but rather appear to be stem cell-specific. Transcription factor-binding site analysis suggested that GATA3 might play an important role in the biology of LTR HSC.
| S-EPMC548308 | biostudies-literature
Project description:Translational control is a key regulatory step in the expression of genes as proteins. In plant cells, translational efficiency of mRNAs differs on different mRNA species, and the efficiency dynamically changes in various conditions. To gain a global view of translational control throughout growth and development, we performed genome-wide analysis of polysome association of mRNA over growth and leaf development in Arabidopsis thaliana by applying the mRNAs in polysome to DNA microarray. This analysis revealed that the degree of polysome association of mRNA had different levels depending on mRNA species, and the polysome association changed greatly throughout growth and development for each. In the growth stage, transcripts showed varying changes in polysome association from strongly depressed to unchanged degree, with the majority of transcripts showing dissociation from ribosomes. On the other hand, during leaf development, the polysome association of transcripts showed a normal distribution from repressed to activated mRNAs when comparing between expanding and expanded leaves. In addition, functional category analysis of the microarray data suggested that translational control has a physiological significance in plant growth and development process, especially in category of signaling and protein synthesis. Besides this, we compared changes in polysome association of mRNAs between various conditions and characterized translational controls in each. This result suggested that mRNAs translation might be controlled by complicated mechanisms for response to each condition. Our results highlight the importance of dynamic changes in mRNA translation in plant development and growth. Experiment using two-flactionated mRNA in 4 developmental stages, Polysomal mRNA vs. total mRNA. Biological replicates: 2. Compared 2DAG and 21DAG, or Young leaves and Mature leaves.
2015-09-01 | E-GEOD-69069 | biostudies-arrayexpress
Project description:Translational control is a key regulatory step in the expression of genes as proteins. In plant cells, translational efficiency of mRNAs differs on different mRNA species, and the efficiency dynamically changes in various conditions. To gain a global view of translational control throughout growth and development, we performed genome-wide analysis of polysome association of mRNA over growth and leaf development in Arabidopsis thaliana by applying the mRNAs in polysome to DNA microarray. This analysis revealed that the degree of polysome association of mRNA had different levels depending on mRNA species, and the polysome association changed greatly throughout growth and development for each. In the growth stage, transcripts showed varying changes in polysome association from strongly depressed to unchanged degree, with the majority of transcripts showing dissociation from ribosomes. On the other hand, during leaf development, the polysome association of transcripts showed a normal distribution from repressed to activated mRNAs when comparing between expanding and expanded leaves. In addition, functional category analysis of the microarray data suggested that translational control has a physiological significance in plant growth and development process, especially in category of signaling and protein synthesis. Besides this, we compared changes in polysome association of mRNAs between various conditions and characterized translational controls in each. This result suggested that mRNAs translation might be controlled by complicated mechanisms for response to each condition. Our results highlight the importance of dynamic changes in mRNA translation in plant development and growth.
2015-09-01 | GSE69069 | GEO
Project description:Metastatic, castration-resistant prostate cancer (mCRPC) is an advanced form of prostate cancer with a high mortality rate due to a current lack of treatment options. While much is already known about how mutations in protein-coding sequences across the genome affect prostate cancer, somatic mutations occurring in the 3’ untranslated regions (3’UTRs) of genes are largely unstudied. The 3’UTR is a genomic region that controls post-transcriptional gene expression through its recruitment of trans-acting factors such as RNA-binding proteins (RBPs) and microRNAs (miRNAs), which themselves are known to be oncogenes and tumor suppressors in many cases. To better understand the role of 3’UTR mutations across prostate cancer, we have created a database of 3’UTR somatic mutations in 185 patients with mCRPC, discovering 14,497 single-nucleotide mutations throughout the 3’UTRome. In order to functionally assay these variants, we have developed a novel pair of massively parallel reporter assays (MPRA) able to determine the effect of thousands of patient somatic mutations on post-transcriptional gene expression. In this two-pronged approach, we are able to measure whether each of 6,892 mutations found in recurrently mutated 3’UTRs affect mRNA stability, steady-state transcript level, and translation efficiency. This deep functional assessment of thousands of 3’UTR mutations allows us to uncover patterns in mutation functionality, including their association with RNA motifs and sequence conservation. Investigation into how the resultant gene expression changes from 3’UTR mutations affect prostate cancer pathogenesis, such as cancer growth or response to treatment, is also underway. This work represents an unprecedented view of the extent to which disease-relevant 3’UTR mutations affect mRNA stability, translation efficiency, and cancer phenotypes, expanding the boundaries of functional cancer genomics and potentially uncovering novel therapeutic targets in previously unexplored regulatory regions.
2023-06-30 | GSE200302 | GEO