Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Macromolecules01:28

Macromolecules

9
MacromoleculesMacromolecules are large molecules that living things need to survive.They include carbohydrates, lipids, proteins, and nucleic acids. These molecules play key roles in energy storage, building structures, and carrying genetic information. Scientists study macromolecules to understand how living organisms function and how biological processes work. Macromolecules are found in the food we eat, the cells in our bodies, and many products we use daily.Science and Engineering Practices...
9
Proteomics01:33

Proteomics

7.6K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
7.6K
ATP and Macromolecule Synthesis01:28

ATP and Macromolecule Synthesis

5.7K
Biological macromolecules are organic compounds, predominantly composed of carbon atoms. The carbon atoms are covalently bonded with hydrogen, oxygen, nitrogen, and other minor elements. There are four major biological macromolecule classes: carbohydrates, lipids, proteins, and nucleic acids.
Most macromolecules are composed of single subunits, or building blocks, called monomers. The monomers combine with each other using covalent bonds to form larger molecules known as polymers.
Conversion of...
5.7K
MicroRNAs01:22

MicroRNAs

3.1K
MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...
3.1K
Primary Active Transport01:29

Primary Active Transport

10.5K
In contrast to passive transport, active transport involves a substance being moved through membranes in a direction against its concentration or electrochemical gradient. There are two types of active transport: primary active transport and secondary active transport. Primary active transport utilizes chemical energy from ATP to drive protein pumps embedded in the cell membrane. With energy from ATP, the pumps transport ions against their electrochemical gradients—a direction they would...
10.5K
Overview of Protein Sorting and Transport01:45

Overview of Protein Sorting and Transport

11.7K
Eukaryotic cells have different membrane-bound organelles with distinct protein requirements. The process by which proteins are targeted to a specific organelle is called protein sorting.
Protein sorting can be of two types: signal-based sorting and vesicle-based trafficking. In signal-based sorting, specific amino acid sequences called sorting signals target proteins to the proper location inside the cell either via gated transport or by protein translocation.  In gated transport, folded...
11.7K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Helical Folding of Abiotic Chiral Poly(phosphodiester)s.

Chemistry (Weinheim an der Bergstrasse, Germany)·2026
Same author

Synthetic Poly(phosphoester)s with Defined Charge Patterns.

ACS macro letters·2026
Same author

Switching Ionization Polarity to Simplify MS/MS Sequencing of Digital Polymers: the Case of Informational Poly(Amino phosphodiester)s.

Rapid communications in mass spectrometry : RCM·2026
Same author

Applying Catching-by-Polymerization for the Preparation of Long Sequence-Defined Polymers.

ACS macro letters·2026
Same author

Acceleration, simplification and potential parallelization of digital polymers sequencing by coupling tandem mass spectrometry with ion mobility.

Nature communications·2025
Same author

A General Strategy to Access All Stereosequences in a Synthetic Polymer.

Journal of the American Chemical Society·2025

Related Experiment Video

Updated: Aug 12, 2025

Mass-Sensitive Particle Tracking to Characterize Membrane-Associated Macromolecule Dynamics
13:30

Mass-Sensitive Particle Tracking to Characterize Membrane-Associated Macromolecule Dynamics

Published on: February 18, 2022

4.5K

Macromolecular Information Transfer.

Svetlana Samokhvalova1, Jean-François Lutz1

  • 1Université de Strasbourg, CNRS, ISIS, 8 allée Gaspard Monge, 67000, Strasbourg, France.

Angewandte Chemie (International Ed. in English)
|January 25, 2023
PubMed
Summary

Researchers explore synthetic macromolecular information transfer, mimicking biological processes like DNA replication and protein translation for potential applications in data storage and artificial life.

Keywords:
Artificial TranslationMolecular ReplicationPrecision PolymersSequence-Controlled PolymersTemplate-Directed Synthesis

More Related Videos

Metabolic Labeling and Profiling of Transfer RNAs Using Macroarrays
10:56

Metabolic Labeling and Profiling of Transfer RNAs Using Macroarrays

Published on: January 16, 2018

5.9K
Mapping Molecular Diffusion in the Plasma Membrane by Multiple-Target Tracing MTT
12:19

Mapping Molecular Diffusion in the Plasma Membrane by Multiple-Target Tracing MTT

Published on: May 27, 2012

17.4K

Related Experiment Videos

Last Updated: Aug 12, 2025

Mass-Sensitive Particle Tracking to Characterize Membrane-Associated Macromolecule Dynamics
13:30

Mass-Sensitive Particle Tracking to Characterize Membrane-Associated Macromolecule Dynamics

Published on: February 18, 2022

4.5K
Metabolic Labeling and Profiling of Transfer RNAs Using Macroarrays
10:56

Metabolic Labeling and Profiling of Transfer RNAs Using Macroarrays

Published on: January 16, 2018

5.9K
Mapping Molecular Diffusion in the Plasma Membrane by Multiple-Target Tracing MTT
12:19

Mapping Molecular Diffusion in the Plasma Membrane by Multiple-Target Tracing MTT

Published on: May 27, 2012

17.4K

Area of Science:

  • Molecular Biology
  • Synthetic Chemistry
  • Biophysics

Background:

  • Macromolecular information transfer is fundamental to life, enabling processes like DNA replication, transcription, and translation.
  • Biological systems utilize coded monomer sequences for information communication between macromolecules.
  • Understanding these natural mechanisms is key to developing artificial systems.

Purpose of the Study:

  • To review recent advancements in information transfer within synthetic oligomers and polymers.
  • To explore the potential of mimicking natural macromolecular information transfer in synthetic systems.
  • To discuss future perspectives for synthetic information transfer technologies.

Main Methods:

  • Review of recent scientific literature on synthetic macromolecular information transfer.
  • Analysis of studies focusing on information encoding, transfer, and decoding in synthetic polymers.
  • Discussion of experimental and theoretical approaches used in the field.

Main Results:

  • Recent research demonstrates the feasibility of information transfer in synthetic oligomers and polymers.
  • Synthetic systems can replicate, transform, or translate information sequences, analogous to biological processes.
  • Progress has been made in designing synthetic macromolecules capable of complex information handling.

Conclusions:

  • Synthetic macromolecular information transfer holds significant promise for technological innovation.
  • Mimicking biological information transfer opens avenues for data storage, processing, and artificial life.
  • Continued research is essential to realize the full potential of these synthetic systems.