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

Genomics02:02

Genomics

41.2K
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...
41.2K
Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

55
Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
55
Ribosome Profiling02:24

Ribosome Profiling

4.2K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
4.2K
Metabolism of Chemolithotrophs01:15

Metabolism of Chemolithotrophs

1.1K
Chemolithotrophs are microorganisms that obtain energy by oxidizing inorganic molecules such as hydrogen gas (H₂), ammonia (NH₃), reduced sulfur compounds (H₂S, S²⁻), and ferrous iron (Fe²⁺). Unlike heterotrophic organisms that rely on organic carbon, chemolithotrophs transfer electrons from these inorganic donors to the electron transport chain (ETC), generating a proton motive force (PMF) that drives ATP synthesis through oxidative phosphorylation.
1.1K
Proteomics01:33

Proteomics

10.0K
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...
10.0K
Overview of Nitrogen Metabolism01:20

Overview of Nitrogen Metabolism

12.2K
Nitrogen is a very important element for life because it is a major constituent of proteins and nucleic acids. It is a macronutrient, and in nature, it is recycled from organic compounds and stored in the form of  ammonia, ammonium ions, nitrate, nitrite, or  nitrogen gas by many metabolic processes. Many of these metabolic processes are carried out only by prokaryotes.
The largest pool of nitrogen available in the terrestrial ecosystem is gaseous nitrogen (N2) from the air, but this...
12.2K

You might also read

Related Articles

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

Sort by
Same author

Regional Economic Data Extraction and Development Prediction Based on an Improved GWO Algorithm.

Journal of visualized experiments : JoVE·2026
Same author

Optimized post-GWAS analysis identifies therapeutic targets for essential thrombocythemia and polycythemia vera.

Communications medicine·2026
Same author

How green marathons are associated with pro-sustainable behavior: the chain-mediating roles of environmental empathy and self-sustainable identity.

Frontiers in psychology·2026
Same author

Epigenetic reprogramming periosteum promotes aging critical segmental bone defect repair via methylation remodeling.

Bioactive materials·2026
Same author

Challenge of Diagnostic Criteria for Diffuse Hemispheric Glioma (DHG), H3 G34-Mutant: A Case of DHG Without H3.3 Gene Alteration.

Neuropathology and applied neurobiology·2026
Same author

Associations between non-optimum temperatures and cardiovascular hospital admissions and effect modification by ambient particulate air pollution: a two-stage time-series study in China.

The Lancet regional health. Western Pacific·2026
Same journal

Construction and implementation of an ICF-based integrated teaching model for genetic disease severity assessment.

Yi chuan = Hereditas·2026
Same journal

Identification and prenatal genetic testing of pathogenic variants in a case of myoclonus-dystonia syndrome.

Yi chuan = Hereditas·2026
Same journal

A novel strategy to enhance precise targeting of the RNA base editor mxABE.

Yi chuan = Hereditas·2026
Same journal

Functional study of the soybean rapid alkalinization factor <i>GmRALF34s</i> in response to saline-alkali stress.

Yi chuan = Hereditas·2026
Same journal

Role of <i>broad</i> in intestinal stem cells of adult <i>Drosophila</i>.

Yi chuan = Hereditas·2026
Same journal

The p53 R267W mutation intervenes p21-mediated cell cycle arrest and promotes proliferation and migration of lung cancer cells.

Yi chuan = Hereditas·2026
See all related articles

Related Experiment Video

Updated: Mar 7, 2026

Metabolic Pathway Confirmation and Discovery Through 13C-labeling of Proteinogenic Amino Acids
07:26

Metabolic Pathway Confirmation and Discovery Through 13C-labeling of Proteinogenic Amino Acids

Published on: January 26, 2012

25.1K

Research progress of stoichiogenomics.

Yang Lan1, Jiang-tao Hu1, Yu-juan Zhang1

  • 1College of Life Sciences, Chongqing Normal University, Chongqing 401331, China.

Yi Chuan = Hereditas
|March 1, 2017
PubMed
Summary
This summary is machine-generated.

Stoichiogenomics explores how organisms bias element usage in DNA, RNA, and proteins due to elemental constraints. This research integrates multiple fields to understand macromolecular evolution and ecosystems.

More Related Videos

A Strategy for Sensitive, Large Scale Quantitative Metabolomics
14:18

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

21.8K
Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
10:37

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

12.8K

Related Experiment Videos

Last Updated: Mar 7, 2026

Metabolic Pathway Confirmation and Discovery Through 13C-labeling of Proteinogenic Amino Acids
07:26

Metabolic Pathway Confirmation and Discovery Through 13C-labeling of Proteinogenic Amino Acids

Published on: January 26, 2012

25.1K
A Strategy for Sensitive, Large Scale Quantitative Metabolomics
14:18

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

21.8K
Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
10:37

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

12.8K

Area of Science:

  • Biochemistry and Molecular Biology
  • Evolutionary Biology
  • Bioinformatics

Background:

  • Stoichiogenomics investigates element usage biases in biological macromolecules across genomic, transcriptomic, proteomic, and metabolomic levels.
  • Biological macromolecules exhibit varying elemental compositions, influencing evolutionary strategies under elemental supply constraints.
  • Natural selection may favor specific monomer usage (amino acids, nucleotides) to minimize costs associated with constrained elements during macromolecule synthesis.

Purpose of the Study:

  • To review the current research progress in stoichiogenomics, focusing on element usage biases in proteins and nucleic acids.
  • To highlight the interdisciplinary nature of stoichiogenomics, integrating stoichiometry, ecology, evolutionary biology, genomics, and bioinformatics.
  • To discuss emerging research directions and provide insights for future studies in macromolecular evolution and ecosystem interactions.

Main Methods:

  • Analysis of large-scale genomic, transcriptomic, and proteomic datasets.
  • Application of high-throughput sequencing and assembly technologies.
  • Integration of stoichiometric, ecological, evolutionary, genomic, and bioinformatic approaches.

Main Results:

  • Documented evidence of element usage biases in proteins and nucleic acids across various biological contexts.
  • Demonstration of how elemental constraints can drive evolutionary adaptations in macromolecular composition.
  • Identification of stoichiogenomics as a powerful lens for understanding macromolecular evolution and ecosystem dynamics.

Conclusions:

  • Stoichiogenomics offers a novel perspective on the interplay between macromolecular evolution and ecosystem processes.
  • The field is rapidly advancing due to technological progress and increasing data availability.
  • Further research in stoichiogenomics holds significant potential for data mining and understanding life's fundamental constraints.