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Medicine
Liquido cerebrospinale MicroRNA profiling Utilizzando quantitativa Real Time PCR
Liquido cerebrospinale MicroRNA profiling Utilizzando quantitativa Real Time PCR
JoVE Journal
Medicine
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JoVE Journal Medicine
Cerebrospinal Fluid MicroRNA Profiling Using Quantitative Real Time PCR

Liquido cerebrospinale MicroRNA profiling Utilizzando quantitativa Real Time PCR

Full Text
15,989 Views
09:26 min
January 22, 2014

DOI: 10.3791/51172-v

Marco Pacifici1, Serena Delbue2, Ferdous Kadri1, Francesca Peruzzi1

1Medical School and Stanley S. Scott Cancer Center,LSU Health Sciences Center, 2Department of Biomedical, Surgery and Dental Sciences,University of Milan

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Please note that some of the translations on this page are AI generated. Click here for the English version.

Overview

This protocol describes the use of real-time PCR to profile microRNAs in cerebrospinal fluid (CSF). The method can also be adapted for RNA extracted from other body fluids, cultured cells, or tissue specimens.

Key Study Components

Area of Science

  • Neuroscience
  • Molecular Biology
  • Genomics

Background

  • MicroRNAs play a crucial role in regulating gene expression.
  • Cerebrospinal fluid is a valuable source for studying neurobiological processes.
  • Real-time PCR allows for quantitative analysis of RNA.
  • Understanding microRNA profiles can aid in diagnosing neurological conditions.

Purpose of Study

  • To profile microRNAs in CSF using quantitative PCR.
  • To provide a reliable method for RNA analysis in various biological samples.
  • To facilitate data analysis using Gen X professional software.

Methods Used

  • Isolation of total RNA from CSF samples.
  • Reverse transcription to convert RNAs into cDNAs.
  • Amplification of cDNAs using a cyber green master mix in 384 well plates.
  • Data analysis of real-time PCR results to determine fold changes.

Main Results

  • Successful profiling of 742 unique microRNA sequences.
  • Quantitative results expressed as fold changes over controls.
  • Data visualizations provided various graphic representations.
  • Method demonstrated adaptability for other sample types.

Conclusions

  • The protocol is effective for profiling microRNAs in CSF.
  • Real-time PCR can be applied to other biological samples.
  • Results can enhance understanding of neurobiological mechanisms.

Frequently Asked Questions

What is the significance of profiling microRNAs?
Profiling microRNAs helps in understanding gene regulation and potential biomarkers for diseases.
Can this method be used for other body fluids?
Yes, the protocol can be adapted for RNA extracted from various body fluids, cultured cells, or tissues.
What software is used for data analysis?
Gen X professional software is used for analyzing the data from real-time PCR.
How many unique sequences can be profiled?
The method allows for profiling of 742 unique microRNA sequences.
What are the main steps in this protocol?
The main steps include RNA isolation, reverse transcription, amplification, and data analysis.
What are the potential applications of this research?
This research can aid in diagnosing neurological conditions and understanding neurobiological processes.

Descriviamo un protocollo di PCR in tempo reale al profilo microRNA nel fluido cerebrospinale (CSF). Con l'eccezione di protocolli di estrazione di RNA, la procedura può essere estesa a RNA estratto da altri fluidi corporei, cellule coltivate, ei campioni di tessuto.

L'obiettivo generale di questa procedura è quello di profilare i microRNA nei liquidi cerebrospinali mediante PCR quantitativa e di analizzare i dati utilizzando il software professionale Gen X. Ciò si ottiene isolando prima l'RNA totale da campioni di liquido cerebrospinale. Il secondo passo consiste nell'eseguire la trascrizione inversa per trascrivere gli RNA in CDNA.

Successivamente, i CDNA vengono miscelati con una miscela master cyber green caricata in piastre da 384 pozzetti contenenti primer per 742 sequenze uniche e amplificati utilizzando la PCR in tempo reale. Il passaggio finale consiste nell'analizzare i dati acquisiti dall'amplificazione in tempo reale. In definitiva, i risultati possono essere espressi come cambio di piega, aumento o diminuzione su un controllo e visualizzati in varie rappresentazioni grafiche.

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