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Related Concept Videos

Storage01:23

Storage

390
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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Sugars as Energy Storage Molecules01:10

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Sugar (a simple carbohydrate) metabolism (chemical reactions) is a classic example of the many cellular processes that use and produce energy. Living things consume sugar as a major energy source because sugar molecules have considerable energy stored within their bonds. Consumed carbohydrates have their origins in photosynthesizing organisms like plants. During photosynthesis, plants use the energy of sunlight to convert carbon dioxide gas into sugar molecules, like glucose. Because this...
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ATP Energy Storage and Release01:31

ATP Energy Storage and Release

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ATP is a highly unstable molecule. Unless quickly used to perform work, ATP spontaneously dissociates into ADP and inorganic phosphate (Pi), and the free energy released during this process is lost as heat. The energy released by ATP hydrolysis is used to perform work inside the cell and depends on a strategy called energy coupling. Cells couple the exergonic reaction of ATP hydrolysis with endergonic reactions, allowing them to proceed.
One example of energy coupling using ATP involves a...
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Fats as Energy Storage Molecules01:06

Fats as Energy Storage Molecules

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Triglycerides are a form of long-term energy storage molecules. They are made of glycerol and three fatty acids. To obtain energy from fat, triglycerides must first be broken down by hydrolysis into their two principal components, fatty acids and glycerol. This process, called lipolysis, takes place in the cytoplasm. The resulting fatty acids are oxidized by β-oxidation into acetyl-CoA, which is used by the Krebs cycle. The glycerol that is released from triglycerides after lipolysis...
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Molecular Models02:00

Molecular Models

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Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
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Complementary DNA

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Related Experiment Video

Updated: Jan 25, 2026

Quasi-light Storage for Optical Data Packets
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Molecular digital data storage using DNA.

Luis Ceze1, Jeff Nivala2, Karin Strauss2,3

  • 1Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA. luisceze@cs.washington.edu.

Nature Reviews. Genetics
|May 10, 2019
PubMed
Summary
This summary is machine-generated.

Molecular data storage offers a dense, durable solution for escalating data needs. This review explores DNA data storage, including in vivo systems within living cells, bridging computer science and biotechnology.

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Area of Science:

  • Biotechnology
  • Computer Science
  • Data Storage

Background:

  • Information production is rapidly outpacing data storage capabilities.
  • Molecular data storage, particularly using DNA, presents a promising solution for dense and durable information archiving.
  • Existing storage methods face limitations in capacity and longevity.

Purpose of the Study:

  • To provide a comprehensive overview of molecular data storage technologies.
  • To review the current state-of-the-art in DNA data storage, both in vitro and in vivo.
  • To identify challenges hindering the widespread adoption of molecular data storage.

Main Methods:

  • Literature review of in vitro DNA data storage techniques.
  • Survey of in vivo molecular memory systems recording information in living cells.
  • Analysis of the intersection between computer systems and biotechnology for data storage.

Main Results:

  • DNA serves as an effective model for archival data storage.
  • In vitro DNA data storage offers high density and durability.
  • In vivo systems demonstrate the potential for biological data recording and storage.

Conclusions:

  • Molecular data storage, especially DNA-based, is a viable frontier for future data archiving.
  • Bridging computer systems and biotechnology is key to advancing molecular data storage.
  • Overcoming adoption challenges is crucial for realizing the full potential of this technology.