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

DNA Microarrays

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

Ribosome Profiling

Ribosome Profiling

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...

You might also read

Related Articles

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

Sort by

Same author

Congo River Bacterioplankton Genomic Diversity Reflects Water Travel Time, Wetland Habitats, and Greenhouse Gases.

Environmental microbiology·2026

Same author

Microbiome Damköhler number predicts lotic microbial community succession in river networks.

ISME communications·2026

Same author

Microbial Ecology of Rotten Sea Ice: Implications for Arctic Carbon Cycling with Global Warming.

Microorganisms·2026

Same author

Dynamic reworking of marine diatom endometabolomes in response to temperature and a model bacterium.

mSystems·2025

Same author

Bacimethrin, an allelopathic vitamin B1 antagonist, is linked with microbial gene expression patterns in a hypereutrophic watershed.

PloS one·2025

Same author

Chemotaxis, growth, and inter-species interactions shape early bacterial community assembly.

The ISME journal·2025

Same journal

Chemotactic self-organization captures the dynamics of mammalian hair follicle patterning.

Proceedings of the National Academy of Sciences of the United States of America·2026

Same journal

Tomographic imaging of superconducting order using particle-hole interference.

Proceedings of the National Academy of Sciences of the United States of America·2026

Same journal

Inhibitory potential of autologous neutralizing antibodies sets quantitative limits on the rebound-competent HIV-1 reservoir.

Proceedings of the National Academy of Sciences of the United States of America·2026

Same journal

Inferring epidemiological parameters under an infectious phylogeography model with visitor dynamics.

Proceedings of the National Academy of Sciences of the United States of America·2026

Same journal

Analytical modeling for suction cup designs for skin-interfaced wearable devices.

Proceedings of the National Academy of Sciences of the United States of America·2026

Same journal

Improving cell-free metabolism through direct integration of artificial respiratory chains.

Proceedings of the National Academy of Sciences of the United States of America·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 27, 2026

Laser-Capture Microdissection RNA-Sequencing for Spatial and Temporal Tissue-Specific Gene Expression Analysis in Plants

Laser-Capture Microdissection RNA-Sequencing for Spatial and Temporal Tissue-Specific Gene Expression Analysis in Plants

Published on: August 5, 2020

Microspatial gene expression patterns in the Amazon River Plume.

Brandon M Satinsky¹, Byron C Crump², Christa B Smith³

¹Departments of Microbiology and.

Proceedings of the National Academy of Sciences of the United States of America

|July 16, 2014

Summary

This summary is machine-generated.

Microbes in the Amazon River Plume exhibit significant gene expression plasticity. Gene regulation, not just abundance, drives microbial responses to environmental changes at the microscale.

Keywords:

biogeochemistry gene expression ratios marine bacteria metagenomics metatranscriptomics

More Related Videos

Analyzing Gene Expression from Marine Microbial Communities using Environmental Transcriptomics

Analyzing Gene Expression from Marine Microbial Communities using Environmental Transcriptomics

Published on: February 18, 2009

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

Related Experiment Videos

Last Updated: Apr 27, 2026

Laser-Capture Microdissection RNA-Sequencing for Spatial and Temporal Tissue-Specific Gene Expression Analysis in Plants

Laser-Capture Microdissection RNA-Sequencing for Spatial and Temporal Tissue-Specific Gene Expression Analysis in Plants

Published on: August 5, 2020

Analyzing Gene Expression from Marine Microbial Communities using Environmental Transcriptomics

Analyzing Gene Expression from Marine Microbial Communities using Environmental Transcriptomics

Published on: February 18, 2009

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

Area of Science:

Marine microbial ecology
Biogeochemical cycling
Metagenomics and transcriptomics

Background:

River plumes are dynamic environments supporting diverse microbial communities.
Understanding microbial gene expression is crucial for biogeochemical processes.

Purpose of the Study:

To quantify microbial gene and transcript inventories in the Amazon River Plume.
To investigate microspatial gene expression differences between free-living and particle-associated microbes.

Main Methods:

Utilized a quantitative inventory of genes and transcripts.
Analyzed bacterial and archaeal communities in the Amazon River Plume.
Compared gene expression ratios between free-living and particle-associated cells.

Main Results:

Free-living microbes showed higher abundance and transcripts for carbon fixation and nutrient uptake.
Particle-associated microbes had higher expression for sulfur cycling and vitamin synthesis.
Gene regulation differences were more significant than genome abundance in explaining transcriptome variations.

Conclusions:

Microbial gene regulation is highly plastic in response to microscale environmental patchiness.
Transcriptional plasticity allows microbes to adapt to nutrient and light gradients in situ.
Gene expression differences are key drivers of ecosystem-scale biogeochemical processes.