Optimized Method to Generate Well-Characterized Macrophages from Induced Pluripotent Stem Cells
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PROVIDER: PRJNA1162901 | ENA |
REPOSITORIES: ENA
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Project description:Background: Macrophages play a pivotal role in various pathogenic processes, necessitating the development of efficient differentiation techniques to meet the high demand for these cells in research and therapy. Human macrophages can be obtained via culturing of peripheral blood monocytes; however, this source has limited yields and requires patient contact for each proposed use. In addition, it would be difficult to perform gene editing on peripheral blood monocytes. The differentiation of induced pluripotent stem cells (iPSCs) into macrophages can meet these needs for recurrent studies with high yields with the possibility of gene editing. Methods: We refined the traditional embryoid body-based differentiation strategy to create a novel three-phase method that optimizes yield, consistent quality, and reproducibility. This approach incorporates the use of microwell plates and cell filtration to standardize the production of embryoid bodies and subsequent macrophage progenitors. Using up to five independent iPSC donors, we performed several assays for macrophage functions and polarization. such as marker protein staining by flow cytometry, lipoprotein uptake, phagocytosis, cytokine release, inflammasome activation, and the effects of M1-like and M2-like polarization. RNA sequencing was performed to determine segregation of cells at different stages of differentiation and by iPSC donor, as well as to identify marker genes for each stage of differentiation. Results: The iPSC-derived macrophages generated through this method exhibit characteristic features and cell marker proteins, as well as classical macrophage activities including lipoprotein uptake, bacterial phagocytosis, cytokine release, and inflammasome activation. We demonstrate the effects of M1-like and M2-like polarization on cytokine release. The first three principal components of the RNA sequencing data showed clear clustering by differentiation stage, while the fourth and fifth principal components clustered the differentiated macrophages by their respective iPSC donor. Marker genes were identified for each stage of differentiation and polarization. Conclusions: The methods provide an optimized and simplified procedure to produce iPSC-derived macrophages. Our results demonstrate the reproducibility of this method in generating high-quality macrophages suitable for a variety of biomedical applications.
2024-12-01 | GSE277609 | GEO
Project description:An optimized platform to generate human cerebral organoids
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Project description:Deep sequencing of strand-specific cDNA libraries is now a ubiquitous tool for identifying and quantifying RNAs in diverse sample types. The accuracy of conclusions drawn from these analyses depends on precise and quantitative conversion of the RNA sample into a DNA library suitable for sequencing. Here, we describe an optimized method of preparing strand-specific RNA deep sequencing libraries from small RNAs, variably sized RNA fragments obtained from ribonucleoprotein particle footprinting experiments or fragmentation of long RNAs. Our approach works across a wide range of input amounts (400 pg to 200 ng), is easy to follow and produces a library in 2–3 days at relatively low reagent cost, all while giving the user complete control over every step. Because all enzymatic reactions were optimized and driven to apparent completion, sequence diversity and species abundance in the input sample are well preserved. Deep sequencing libraries from either a randomized RNA oligo or an equimolar miRNA mix were analyzed for evenness of capture.
2014-11-26 | E-GEOD-63606 | biostudies-arrayexpress
Project description:Conventional prokaryotic RNA labeling method usually requires large amounts of starting materials and tends to generate high background signals. Recently, two novel methods based on amplification systems were introduced. Here, we compared three alternative strategies: direct labeling method, ployadenylation-involved oligo-dT priming amplification method and random priming amplification method (hereafter referred to as DL, PAOD and RPA method in this article) for prokaryotic RNA labeling employing the expression profiling investigation in Escherichia coli (E. coli) heat shock model. To identify an optimal RNA labeling method for prokaryotic microarray analysis, experiments were performed with starting RNA obtained from E.coli growing at control (37°C) or heat shock (43°C) condition. We employed 0.5 μg of total RNA for a single round of amplification using PAOD and RPA methods coupling to IVT to generate cDNA targets. In addition, an approach using DL method was also performed. Three types of cDNA mixtures containing Cy5-labeled (or Cy3-labeled) control DNA and Cy3-labeled (or Cy5-labeled) DNA targets were hybridized with E.coli microarrays in a dye-swap strategy. Replicate experiments were conducted from the same batch of total RNA to assess technique reproducibility of each approach.
2010-05-15 | E-GEOD-17074 | biostudies-arrayexpress
Project description:Conventional prokaryotic RNA labeling method usually requires large amounts of starting materials and tends to generate high background signals. Recently, two novel methods based on amplification systems were introduced. Here, we compared three alternative strategies: direct labeling method, ployadenylation-involved oligo-dT priming amplification method and random priming amplification method (hereafter referred to as DL, PAOD and RPA method in this article) for prokaryotic RNA labeling employing the expression profiling investigation in Escherichia coli (E. coli) heat shock model.
2009-07-25 | GSE17074 | GEO
Project description:Deep sequencing of strand-specific cDNA libraries is now a ubiquitous tool for identifying and quantifying RNAs in diverse sample types. The accuracy of conclusions drawn from these analyses depends on precise and quantitative conversion of the RNA sample into a DNA library suitable for sequencing. Here, we describe an optimized method of preparing strand-specific RNA deep sequencing libraries from small RNAs, variably sized RNA fragments obtained from ribonucleoprotein particle footprinting experiments or fragmentation of long RNAs. Our approach works across a wide range of input amounts (400 pg to 200 ng), is easy to follow and produces a library in 2–3 days at relatively low reagent cost, all while giving the user complete control over every step. Because all enzymatic reactions were optimized and driven to apparent completion, sequence diversity and species abundance in the input sample are well preserved.
2014-11-26 | GSE63606 | GEO
Project description:An Optimized Chemical-Genetic Method for Cell-Specific Metabolic Labeling of RNA
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Project description:A simple method to efficiently generate structural variation in plants [RNA-Seq]
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Project description:A simple method to efficiently generate structural variation in plants [short read]
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