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Videos de Conceptos Relacionados

Real Time RT-PCR02:57

Real Time RT-PCR

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Real-time reverse transcription-polymerase chain reaction, or Real-time RT-PCR, is an analytical tool used to determine the expression level of target genes. The method involves converting mRNA to complementary DNA with the help of an enzyme known as reverse transcriptase, followed by the PCR amplification of the cDNA. These two processes can be performed simultaneously in a single tube or separately as a two-step reaction.
The real-time quantification of the number of amplified products is...
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Uncertainty: Overview00:59

Uncertainty: Overview

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In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
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Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

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An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
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Uncertainty: Confidence Intervals00:54

Uncertainty: Confidence Intervals

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The confidence interval is the range of values around the mean that contains the true mean. It is expressed as a probability percentage. The interpretation of a 95% confidence interval, for instance, is that the statistician is 95% confident that the true mean falls within the interval. The upper and lower limits of this range are known as confidence limits. The confidence limits for the true mean are estimated from the sample's mean, the standard deviation, and the statistical factor...
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Distribution of Molecular Speeds01:27

Distribution of Molecular Speeds

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The motion of molecules in a gas is random in magnitude and direction for individual molecules, but a gas of many molecules has a predictable distribution of molecular speeds. This predictable distribution of molecular speeds is known as the Maxwell-Boltzmann distribution. The distribution of molecular speeds in liquids is comparable to that of gases but not identical and can help to understand the phenomenon of the boiling and vapor pressure of a liquid. Consider that a molecule requires a...
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Nonsense-mediated mRNA Decay02:27

Nonsense-mediated mRNA Decay

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The Upf proteins that carry out nonsense-mediated decay (NMD) are found in all eukaryotic organisms, including humans. Each protein has an individual role, but they need to work in collaboration. Upf1 is an ATP-dependent RNA helicase that unwinds the RNA helix. Because Upf1 can unwind any RNA, Upf2 and Upf3 are required to help Upf1 discriminate between nonsense and normal mRNAs.
Usually, Upf3 binds to an Exon Junction Complex (EJC) at mRNA splice sites. If a ribosome fully translates the mRNA,...
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Updated: Feb 17, 2026

Metabolic Labeling of Newly Transcribed RNA for High Resolution Gene Expression Profiling of RNA Synthesis, Processing and Decay in Cell Culture
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Cuantificación de la incertidumbre en la velocidad del ARN

Huizi Zhang1, Natalia Bochkina1, Sara Wade1

  • 1School of Mathematics and Maxwell Institute for Mathematical Sciences,University of Edinburgh, Peter Guthrie Tait Rd, Kings Buildings, Edinburgh EH9 3FD, United Kingdom.

Biometrics
|February 16, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Este estudio presenta un nuevo modelo bayesiano para la estimación de la velocidad del ARN a partir de datos de secuenciación de ARN de célula única. El método proporciona una cuantificación precisa de la incertidumbre y resultados interpretables, avanzando en la comprensión de la biología dinámica.

Conclusiones:

  • El nuevo enfoque bayesiano ofrece una estimación fiable de la velocidad del ARN con una cuantificación robusta de la incertidumbre.
  • Se demuestra la interpretabilidad del método y su capacidad para manejar escenarios biológicos complejos.
  • Los resultados se alinean con las fases del ciclo celular, lo que destaca la relevancia biológica del modelo para el análisis dinámico de células únicas.
Palabras clave:
Cadena de Markov Monte Carlodinámica celularintervalo de credibilidadtiempo latentesecuenciación de ARN de célula única

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