Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Metabolism of Chemolithotrophs

Metabolism of Chemolithotrophs

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.

You might also read

Related Articles

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

Sort by

Same author

Pulmonary Benign Metastasizing Leiomyoma with Abdominal Wall and Pelvic Cavity Implantation: A Case Report and Literature Review.

International journal of women's health·2026

Same author

Chromatin landscape and epigenetic heterogeneity of acute myeloid leukaemia.

Nature·2026

Same author

Biosynthetic composite iron minerals enhance electroactive biofilm activity and stability by reducing charge transfer resistance and buffering the internal acid inhibition.

Bioresource technology·2026

Same author

A spatially confined "double-key lock" smart DNA hydrogel for dynamic detection of MicroRNA in cells.

Chemical science·2026

Same author

Long-term metabolically unhealthy aging, its underlying molecular underpinnings, and association with cognitive impairment: a 12.4-year longitudinal cohort study.

BMC medicine·2026

Same author

Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach.

Advances in neural information processing systems·2026

Search research articles

Related Experiment Video

Updated: Oct 11, 2025

Using the Open-Source MALDI TOF-MS IDBac Pipeline for Analysis of Microbial Protein and Specialized Metabolite Data

Using the Open-Source MALDI TOF-MS IDBac Pipeline for Analysis of Microbial Protein and Specialized Metabolite Data

Published on: May 15, 2019

3MCor: an integrative web server for metabolome-microbiome-metadata correlation analysis.

Tao Sun¹, Mengci Li^1,2, Xiangtian Yu³

¹Center for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China.

Bioinformatics (Oxford, England)

|December 7, 2021

Summary

3MCor is a novel platform for analyzing the correlation between the metabolome and microbiome, crucial for understanding human health. It integrates various analysis methods and network visualization for efficient dual-omics interaction insights.

More Related Videos

Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures

Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures

Published on: January 7, 2019

An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome

An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome

Published on: September 20, 2022

Related Experiment Videos

Last Updated: Oct 11, 2025

Using the Open-Source MALDI TOF-MS IDBac Pipeline for Analysis of Microbial Protein and Specialized Metabolite Data

Using the Open-Source MALDI TOF-MS IDBac Pipeline for Analysis of Microbial Protein and Specialized Metabolite Data

Published on: May 15, 2019

Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures

Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures

Published on: January 7, 2019

An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome

An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome

Published on: September 20, 2022

Area of Science:

Bioinformatics
Computational Biology
Systems Biology

Background:

Metabolome and microbiome disorders are closely linked to human health.
There is a significant need for advanced dual-omics interaction analysis tools.

Purpose of the Study:

To introduce 3MCor, an integrative platform for metabolome and microbiome correlation analysis.
To provide a tool that considers phenotype and confounders in dual-omics studies.

Main Methods:

Integration of traditional and novel correlation analysis methods for intra- and inter-correlation.
Development of three inter-correlation pipelines: global, hierarchical, and pairwise.
Incorporation of network analysis for identifying clusters and key nodes.

Main Results:

3MCor offers comprehensive intra- and inter-correlation analysis for metabolome and microbiome data.
The platform includes network analysis for efficient identification of key biological players.
Generated results include numerical data (CSV) and visualizations (PDF) within minutes.

Conclusions:

3MCor is the first dedicated platform for metabolome and microbiome correlation analysis.
The platform demonstrates simple operation, comprehensive outputs, and significant contribution to dual-omics research.
3MCor facilitates a deeper understanding of the interplay between metabolome and microbiome in health and disease.