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Regulation of Expression at Multiple Steps01:23

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The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the...
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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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Cell Specific Gene Expression01:58

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Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
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Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

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Quantitative proteomics identifies surfactant-resistant alpha-synuclein in cerebral cortex of Parkinsonism-dementia complex of Guam but not Alzheimer's disease or progressive supranuclear palsy.

The American journal of pathology·2007
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Different supramolecular assemblies in two 1:1 proton-transfer compounds of sulfobenzoic acids with aromatic amines.

Acta crystallographica. Section C, Crystal structure communications·2007
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Identification of proteins involved in microglial endocytosis of alpha-synuclein.

Journal of proteome research·2007
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Biomarkers for Alzheimer's disease.

Expert review of neurotherapeutics·2007
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[Role of sympathetic nerve activity and arterial endothelial function in pathogenesis of hypertension in patients with obstructive sleep apnea-hypopnea syndrome].

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases·2007
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Subsequently enhanced CPP to morphine following chronic but not acute footshock stress associated with corticosterone mechanism in rats.

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Video Experimental Relacionado

Updated: Jan 8, 2026

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Ajuste de Instrucciones Multimodales de Contexto Celular para la Generación Condicional de Secuencias Regulatorias de

Junhao Liu1, Pengpeng Zhang1, Siwei Xu1

  • 1University of California, Irvine.

Proceedings. International Conference on Image Processing
|December 22, 2025
PubMed
Resumen

El diseño de potenciadores de biología sintética es un desafío. Leonine, un nuevo marco, utiliza modelos de lenguaje grandes (LLM) y datos celulares para el diseño de potenciadores conscientes del contexto, mejorando el reclutamiento y la función del factor de transcripción.

Sus antecedentes:

  • El diseño de secuencias de ADN regulatorias efectivas, como los potenciadores, es crucial para la biología sintética.
Palabras clave:
Señales DiscretasModelos de Lenguaje Grandes MultimodalesGeneración de Secuencias Regulatorias

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  • Los métodos actuales tienen dificultades con el reclutamiento de factores de transcripción (TF) específicos de tipo celular, lo que lleva a diseños de potenciadores subóptimos.
  • Conclusiones:

    • Leonine establece un nuevo paradigma para el diseño de secuencias de ADN conscientes del contexto.
    • Avanza en el campo de la biología sintética al permitir un control preciso de la regulación génica.
    • Proporciona una herramienta poderosa para optimizar la función de los potenciadores en contextos celulares específicos.