Name: Flow Cytometry Analysis of Cell-miRNA and EV-miRNA Signal in Calu6 Cells Transfected with Fluorophore-Conjugated EV-miRNA(Video)
Uploaded: 2023-10-06T12:00:00
Description: Watch this Scientific Journal Video about Flow Cytometry Analysis of Cell-miRNA and EV-miRNA Signal in Calu6 Cells Transfected with Fluorophore-Conjugated EV-miRNA at JoVE.com

flow cytometry analysis of cell-mirna and ev-mirna signal in calu6 cells transfected with fluorophore-conjugated ev-mirna

A Flow Cytometry Protocol for Understanding Export Mechanisms

MicroRNAs (miRNAs) are one of the best-characterized subsets of small noncoding RNAs, which are known for their critical role in post-transcriptional gene regulation. The expression and biogenesis of most miRNAs follow a coordinated series of events that begins with transcription of the primary miRNAs (pri-miRNAs) in the nucleus. Following nuclear processing by the microprocessor complex into precursor-miRNAs (pre-miRNAs), the pre-miRNAs are exported to the cytoplasm, where they undergo further processing by the RNase III endonuclease, dicer into 21-23 nucleotide mature miRNA duplexes1. One of the strands of the processed mature miRNA binds to target messenger RNAs (mRNAs), leading to degradation or translational repression of the targets2. Based on the pleiotropic role of miRNAs in simultaneously regulating multiple diverse target mRNAs, it is not surprising that miRNA expression is tightly regulated3. Indeed, inappropriate expression contributes to various disease states, especially in cancer. The aberrant expression of miRNAs not only represents a disease-specific signature but has also emerged as a target for prognostic and therapeutic potential4,5,6. In addition to their intracellular roles, miRNAs also have non-autonomous roles. For example, miRNAs can be selectively packaged into EVs by donor cells and exported to recipient sites where they elicit diverse phenotypic responses in normal and disease physiology7,8,9.
Despite clear evidence that EV-associated miRNAs are functional biomolecules, it is not completely understood how specific subsets of miRNAs are dysregulated in disease states such as cancer and how cellular machinery selects and sorts miRNAs into Evs10,11. Given the potential role of EV-miRNAs in modulating the microenvironment, it is critical to identify the mechanisms involved in the export of select miRNAs to fully elucidate the role of EVs in intercellular communication and disease pathogenesis. Understanding the process of miRNA release into EVs will not only highlight important mediators of miRNA export but can also provide insights into potential therapeutics. To achieve this level of knowledge, tools need to be adapted to faithfully address these new experimental questions. Indeed, studies that evaluate EVs are growing exponentially due to the introduction of new techniques and controls12,13. In relation to evaluating the abundance of exported miRNAs into EVs, next-generation sequencing and quantitative reverse transcription polymerase chain reaction (qRT-PCR) have been the current standard tools. While these tools are useful for evaluating the abundance of miRNAs in EVs, there are limitations to their sensitivity and specificity, and using these static approaches for evaluating dynamics is insufficient. Delineating the dynamics of miRNA export into EVs requires a combination of specialized tools. Here, we present a comprehensive protocol using fluorescently conjugated miRNAs, to analyze the dynamics of miRNA release from donor cells and incorporation into EVs. We also discuss the advantages and limitations of the method and provide recommendations for optimal use. The versatile method presented in this paper will be useful to researchers interested in studying miRNA release into EVs and their potential roles in cellular communication and disease.

Author Spotlight: Exploring the Mechanisms of MicroRNA Loading into Extracellular Vesicles in Cancer Progression 

Tracking miRNA Release into Extracellular Vesicles using Flow Cytometry

My lab works on studying microRNAs, and we have known for decades that microRNAs are depleted in cancer. However, the mechanism as to how these microRNAs are lost has not been actively understood. Our recent work on extracellular vesicles suggests that microRNA that are depleted in cancer are being actively loaded into these extracellular vesicles.Our goal now is to really get to the mechanism as to how these RNAs are actively loaded into these extracellular vesicles in the process of tumor genesis. The protocol helps understand and capture the dynamic process of microRNAs release into extracellular vesicles, which is one of the challenging areas in studying extracellular vesicle biology. Our findings provide a tool to advance the study of pathways that regulate depletion of microRNAs in cancer.We plan on identifying functional and phenotypic consequences of the loss of specific subsets of microRNA via extracellular vesicles in cancer. Once we identify the factors that are involved in loading these microRNAs into extracellular vesicles, our goal is to down-regulate these factors and evaluate the phenotypic consequence. Moreover, because we identified a motif that's contained in these small RNAs, we're curious to know whether this motif is both necessary and sufficient for loading these RNAs into the extracellular vesicles.

Watch this Scientific Journal Video about Flow Cytometry Analysis of Cell-miRNA and EV-miRNA Signal in Calu6 Cells Transfected with Fluorophore-Conjugated EV-miRNA at JoVE.com

Flow Cytometry Analysis of Cell-miRNA and EV-miRNA Signal in Calu6 Cells Transfected with Fluorophore-Conjugated EV-miRNA(Video) 

Flow Cytometry Analysis of Cell-miRNA and EV-miRNA Signal in Calu6 Cells Transfected with Fluorophore-Conjugated EV-miRNA

To begin, take Calu6 cells transfected with fluorophore-conjugated EV-microRNA and cell-microRNA. Filter the cell suspension through a 35 micrometer strainer cap included with the round bottom polystyrene FACS tubes. Then set up the flow cytometry instrument, switch on the flow cytometer, and allow it to warm up for 30 minutes before use.Prime the fluidic system with sheath fluid. After that, verify and adjust the laser alignment. For quality control, load ultrapure filtered water into the flow cytometer and run it at an appropriate flow rate, ensuring an adequate acquisition time.Then set the threshold for capturing the signal from Calu6 cells at FSC 5, 000. To account for spectral overlap between fluorophores, prepare compensation controls using untransfected cells and cells transfected with only one fluorophore. Perform expression analysis in transfected cells using the FSC, SSC, FITC, and PE channels set at 258, 192, 269, and 423 voltage units respectively.Then introduce the negative control sample into the flow cytometer. Capture cell signals after defining FSC and SSC intensities in a custom worksheet. Select FSC for the X-axis and SSC for the Y axis in the plot.Draw a polygon around the population of interest to create a gate on the axis. To create a new plot using the gated population, set the X-axis to fluorescent signal 1. For cell-microRNA detection and the Y-axis to fluorescent signal 2 for EV-microRNA detection.Establish compensation parameters for the individual fluorophores using cells independently transfected with each of the fluorescently tagged microRNAs. Flow cytometry analysis of cells transfected with cell-microRNA and EV-microRNA revealed a sequential decrease of fluorescence signal corresponding to EV-microRNA. In contrast, the signal corresponding to the cell-microRNA was retained in the cells, indicating that the fluorophore does not impact the retention of microRNAs by the cells.

Research

JoVE Journal

Biology

Extracellular vesicles (EVs) are important mediators of cellular communication that are secreted by a variety of different cells. These EVs shuttle ...