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Videos de Conceptos Relacionados

Master Transcription Regulators02:23

Master Transcription Regulators

Master transcription regulators are regulatory proteins that are predominantly responsible for regulating the expression of multiple genes. Often these genes work in concert to drive a  complex process. Activation of a master transcription regulator can lead to a cascade of transcriptional activation necessary for that outcome. These regulators can directly bind to the regulatory sequences of the various genes involved, or they can indirectly regulate transcription by binding to regulatory...
Alternative RNA Splicing02:18

Alternative RNA Splicing

Alternative RNA splicing is the regulated splicing of exons and introns to produce different mature mRNAs from a single pre-mRNA. Unlike in constitutive splicing where a single gene produces a single type of mRNA, alternative splicing allows an organism to produce multiple proteins from a single gene and plays an important role in protein diversity.
There are five types of alternative RNA splicing that vary in the ways the pre-mRNA segments are removed or retained in the mature mRNA. The first...
General Transcription Factors01:30

General Transcription Factors

Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
Chromatin Structure and RNA Splicing02:41

Chromatin Structure and RNA Splicing

In eukaryotic cells, nascent mRNA transcripts need to undergo many post-transcriptional modifications to reach the cell cytoplasm and translate into functional proteins. For a long time, transcription and pre-mRNA processing were considered two independent events that occur sequentially in the cell. However, it has now been well established that transcription and pre-mRNA processing are two simultaneous processes that are precisely regulated inside the cell.
The chromatin structure, especially...
Alternative RNA Splicing02:18

Alternative RNA Splicing

Alternative RNA splicing is the regulated splicing of exons and introns to produce different mature mRNAs from a single pre-mRNA. Unlike in constitutive splicing where a single gene produces a single type of mRNA, alternative splicing allows an organism to produce multiple proteins from a single gene and plays an important role in protein diversity.
There are five types of alternative RNA splicing that vary in the ways the pre-mRNA segments are removed or retained in the mature mRNA. The first...
Master Transcription Regulators02:23

Master Transcription Regulators

Master transcription regulators are regulatory proteins that are predominantly responsible for regulating the expression of multiple genes. Often these genes work in concert to drive a  complex process. Activation of a master transcription regulator can lead to a cascade of transcriptional activation necessary for that outcome. These regulators can directly bind to the regulatory sequences of the various genes involved, or they can indirectly regulate transcription by binding to regulatory...

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Video Experimental Relacionado

Updated: Jun 20, 2026

An Approach to Study Shape-Dependent Transcriptomics at a Single Cell Level
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An Approach to Study Shape-Dependent Transcriptomics at a Single Cell Level

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MuST: transformación de la estructura de modalidad múltiple para la transcriptómica espacial de una sola célula

Zelin Zang1,2, Liangyu Li1, Yongjie Xu1

  • 1Westlake Institute for Advanced Studies, Westlake University, HangZhou, 310000, China.

Briefings in bioinformatics
|August 28, 2025
PubMed
Resumen
Este resumen es generado por máquina.

Los datos de transcriptómica espacial (ST) pueden estar sesgados por las modalidades dominantes. Desarrollamos la Transformación de Estructura de Múltiples Modalidades (MuST) para integrar diversos tipos de datos, mejorando la estructura de los tejidos y el análisis de biomarcadores para sistemas biológicos complejos.

Palabras clave:
Identificación del biomarcadorsesgo por modalidadIntegración multimodaltranscriptómica espacial (ST)Descubrimiento de topología

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Área de la Ciencia:

  • La genómica
  • La bioinformática
  • Biología computacional

Sus antecedentes:

  • La transcriptómica espacial (ST) ofrece datos multimodales (transcriptómicos, espaciales, morfológicos) para la investigación de la biología de los tejidos.
  • El sesgo de modalidad en los datos ST surge de las contribuciones de modalidad inconsistentes, que favorecen a las modalidades dominantes en el análisis.
  • El sesgo de la modalidad de mitigación es crucial para un análisis posterior preciso en los estudios de ST.

Objetivo del estudio:

  • Introducir la transformación de la estructura de modalidad múltiple (MuST), una nueva metodología para abordar el sesgo de modalidad en los datos de ST.
  • Para integrar eficazmente la información multimodal de los datos ST en un espacio latente unificado.
  • Proporcionar una base sólida para diversas tareas analíticas posteriores en ST.

Principales métodos:

  • MuST emplea una estrategia de descubrimiento de topología y una función de pérdida de fusión de topología.
  • Aprende estructuras locales intrínsecas para resolver inconsistencias entre diferentes modalidades.
  • Combina técnicas de aprendizaje profundo y basadas en la topología para la integración multimodal de datos.

Principales resultados:

  • MuST integra efectivamente los datos ST multimodales en un espacio latente uniforme.
  • Supera los métodos existentes para identificar y preservar las estructuras de los tejidos y los biomarcadores.
  • Demuestra ventajas en la precisión y coordinación de las diferentes modalidades.

Conclusiones:

  • MuST proporciona un conjunto de herramientas versátiles para analizar sistemas biológicos complejos utilizando datos ST.
  • La metodología mitiga con éxito el sesgo de modalidad, mejorando el rendimiento de las tareas posteriores.
  • Ofrece una base para el análisis avanzado de datos ST, mejorando los conocimientos biológicos.