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Related Concept Videos

MicroRNAs01:22

MicroRNAs

MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA ends...
MicroRNAs01:22

MicroRNAs

MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...
MicroRNAs01:22

MicroRNAs

MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA ends...
Ribosome Profiling02:24

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique helps...

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Related Experiment Video

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Lung microRNA Profiling Across the Estrous Cycle in Ozone-exposed Mice
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Lung microRNA Profiling Across the Estrous Cycle in Ozone-exposed Mice

Published on: January 7, 2019

MicroRNA profiling: separating signal from noise.

Monya Baker1

  • 1m.baker@us.nature.com

Nature Methods
|September 1, 2010
PubMed
Summary
This summary is machine-generated.

Different platforms for measuring microRNAs (miRNAs) can yield varying results. This highlights the need for standardization in miRNA detection methods to ensure consistent and reliable data across studies.

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Related Experiment Videos

Last Updated: Jun 9, 2026

Lung microRNA Profiling Across the Estrous Cycle in Ozone-exposed Mice
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Lung microRNA Profiling Across the Estrous Cycle in Ozone-exposed Mice

Published on: January 7, 2019

Cerebrospinal Fluid MicroRNA Profiling Using Quantitative Real Time PCR
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Cerebrospinal Fluid MicroRNA Profiling Using Quantitative Real Time PCR

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High Throughput MicroRNA Profiling: Optimized Multiplex qRT-PCR at Nanoliter Scale on the Fluidigm Dynamic ArrayTM IFCs
07:27

High Throughput MicroRNA Profiling: Optimized Multiplex qRT-PCR at Nanoliter Scale on the Fluidigm Dynamic ArrayTM IFCs

Published on: August 3, 2011

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Genetics

Background:

  • MicroRNAs (miRNAs) are small non-coding RNAs involved in gene regulation.
  • Accurate measurement of miRNA levels is crucial for understanding their biological roles and for clinical applications.
  • Existing platforms for miRNA quantification exhibit variability in their outputs.

Purpose of the Study:

  • To investigate the discrepancies observed in microRNA measurements across different platforms.
  • To identify factors contributing to platform-specific variations in miRNA detection.
  • To provide insights into selecting appropriate methods for reliable miRNA quantification.

Main Methods:

  • Comparative analysis of miRNA expression profiles obtained from multiple commercial and in-house platforms.
  • Utilizing standardized RNA samples and a panel of well-characterized miRNAs.
  • Statistical analysis to assess concordance and identify significant differences between platforms.

Main Results:

  • Significant variability was observed in the quantification of specific microRNAs across the tested platforms.
  • Certain platforms showed higher sensitivity or specificity for detecting low-abundance miRNAs.
  • The choice of platform influenced the detection and relative quantification of microRNAs, leading to divergent conclusions.

Conclusions:

  • The platform used for microRNA measurement significantly impacts experimental outcomes.
  • Lack of standardization in miRNA detection methodologies poses a challenge for data reproducibility and interpretation.
  • Further research and consensus-building are needed to establish standardized protocols for reliable microRNA quantification.