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Genomic DNA in Eukaryotes00:58

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Eukaryotes have large genomes compared to prokaryotes. To fit their genomes into a cell, eukaryotic DNA is packaged extraordinarily tightly inside the nucleus. To achieve this, DNA is tightly wound around proteins called histones, which are packaged into nucleosomes that are joined by linker DNA and coil into chromatin fibers. Additional fibrous proteins further compact the chromatin, which is recognizable as chromosomes during certain phases of cell division.
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Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Storage01:23

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A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze...
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Genomic Imprinting and Inheritance02:30

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Diploid organisms inherit genetic material through chromosomes from both parents. Copies of the same gene are known as alleles. In most cases, both alleles are simultaneously expressed and allow various cellular processes to function optimally. If one of the alleles is missing or mutated, the expression of the other allele can compensate; however, this is not true for all genes.
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In order to be passed through generations, genomic DNA must be undamaged and error-free. However, every day, DNA in a cell undergoes several thousand to a million damaging events by natural causes and external factors. Ionizing radiation such as UV rays, free radicals produced during cellular respiration, and hydrolytic damage from metabolic reactions can alter the structure of DNA. Damages caused include single-base alteration, base dimerization, chain breaks, and cross-linkage.
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Ultra-long Read Sequencing for Whole Genomic DNA Analysis
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Almacenamiento de datos de ADN in vivo de alta seguridad impulsado por la dinámica genómica

Jiaxin Xu1,2, Yu Wang3,4, Haibo Zhou2

  • 1Department of Pulmonary and Critical Care Medicine, Post-Doctoral Scientific Research Station of Basic Medicine, Shenzhen Key Laboratory of Respiratory Disease, Shenzhen Clinical Research Center for Respiratory Disease, Shenzhen Institute of Respiratory Diseases, Shenzhen People's Hospital, (The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology), Shenzhen, Guangdong, China.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|January 27, 2026
PubMed
Resumen

Este estudio presenta la programación computacional-biológica integrada (ICBP) para el almacenamiento seguro de datos de ADN en organismos vivos. ICBP mejora la seguridad de los datos y logra una recuperación del 100% en 100 generaciones.

Palabras clave:
caos computacionalseguridad de datostabla de códigos dinámicaalmacenamiento de datos de ADN in vivo

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Área de la Ciencia:

  • Biotecnología
  • Bioinformática
  • Almacenamiento de datos

Sus antecedentes:

  • El ADN ofrece un potencial de almacenamiento de datos de alta densidad y estable.
  • El almacenamiento de datos en organismos vivos proporciona ventajas de autorreplicación y ocultación.
  • Los métodos existentes de almacenamiento de datos de ADN in vivo tienen vulnerabilidades de seguridad.

Objetivo del estudio:

  • Desarrollar un método seguro y robusto para el almacenamiento de datos de ADN dentro de sistemas vivos.
  • Superar los riesgos de seguridad asociados con métodos de codificación/decodificación predeterminados.
  • Aprovechar los sistemas computacionales y biológicos para mejorar la seguridad y el almacenamiento de datos.

Principales métodos:

  • Desarrollado el paradigma de programación computacional-biológica integrada (ICBP).
  • Construidas tablas de códigos dinámicas a partir de redes regulatorias génicas y genomas.
  • Utilizada codificación de ADN, computación y complejidad biológica para la encriptación.

Principales resultados:

  • Ampliado el espacio clave en más de 100 órdenes de magnitud.
  • Lograda una calidad de encriptación superior, resistente a ataques.
  • Demostrada una recuperación de datos del 100% después de 100 generaciones de replicación microbiana.

Conclusiones:

  • ICBP ofrece una estrategia transformadora para el almacenamiento seguro de datos de ADN.
  • Combina la lógica computacional con la complejidad biológica para una seguridad robusta.
  • Permite el almacenamiento de datos práctico, seguro y estable dentro de sistemas vivos.