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

Diversity of Protists I01:15

Diversity of Protists I

302
Excavata is a diverse group of protists that includes both chemoorganotrophic and phototrophic species, with some thriving in anaerobic environments. Among the key groups within Excavata are diplomonads and parabasalids, which are flagellated protists that lack mitochondria and chloroplasts. These microorganisms typically inhabit anoxic environments, such as the intestines of animals, where they exist either symbiotically or as parasites, relying on fermentation for energy production. Some...
302
Ribosome Profiling02:24

Ribosome Profiling

3.7K
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...
3.7K
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

5.0K
5.0K

You might also read

Related Articles

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

Sort by
Same author

Monolithic 3D integration of tantalum pentoxide nonlinear photonics.

Nature·2026
Same author

ATR, a DNA damage kinase, modulates DNA replication timing in Leishmania major.

PLoS genetics·2025
Same author

New Phenylpropanoid from <i>Croton velutinus</i> (Euphorbiaceae) as Potential Anticancer Natural Product Targeting MAPKs: Review with Docking Approach.

Current pharmaceutical design·2025
Same author

Implementing photonic-crystal resonator frequency combs in a photonic foundry.

Optics letters·2025
Same author

Abietane Diterpenes from <i>Medusantha martiusii</i> and Their Anti-Neuroinflammatory Activity.

Molecules (Basel, Switzerland)·2024
Same author

Fermenting Acerola (<i>Malpighia emarginata</i> D.C.) and Guava (<i>Psidium guayaba</i> L.) Fruit Processing Co-Products with Probiotic Lactobacilli to Produce Novel Potentially Synbiotic Circular Ingredients.

Foods (Basel, Switzerland)·2024
Same journal

The second Cryptosporidium meeting: Edinburgh's parasite deep dive.

Trends in parasitology·2026
Same journal

Evolution of generalism under Muller's ratchet.

Trends in parasitology·2026
Same journal

Next generation in parasitology 2026: Connecting young parasitologists across Europe.

Trends in parasitology·2026
Same journal

Disrupted barriers, evolved risks: toward precision One Health in arthropod allergy.

Trends in parasitology·2026
Same journal

Unveiling malaria history using ancient genomes.

Trends in parasitology·2026
Same journal

Tuft cells awaken Th2 recall responses.

Trends in parasitology·2026
See all related articles

Related Experiment Video

Updated: Oct 13, 2025

High-throughput Gene Tagging in Trypanosoma brucei
11:26

High-throughput Gene Tagging in Trypanosoma brucei

Published on: August 12, 2016

8.1K

Single-cell transcriptomics reveals hidden information in trypanosomatids.

Bryan E Abuchery1, Jennifer A Black2, Marcelo S da Silva1

  • 1DNA Replication and Repair Laboratory, Department of Chemical and Biological Sciences, Institute of Biosciences, São Paulo State University (UNESP), Botucatu, SP, Brazil.

Trends in Parasitology
|November 14, 2021
PubMed
Summary
This summary is machine-generated.

Parasite transmission stages are preadapted to survive extreme environments when moving from vector to host. Single-cell transcriptomics revealed gene expression patterns during this critical differentiation process.

Keywords:
Trypanosoma bruceiscRNA-seqtranscriptometransmission

More Related Videos

Transcriptome Analysis of Single Cells
07:27

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

30.2K
Single-cell Quantitation of mRNA and Surface Protein Expression in Simian Immunodeficiency Virus-infected CD4+ T Cells Isolated from Rhesus macaques
13:13

Single-cell Quantitation of mRNA and Surface Protein Expression in Simian Immunodeficiency Virus-infected CD4+ T Cells Isolated from Rhesus macaques

Published on: September 25, 2018

10.7K

Related Experiment Videos

Last Updated: Oct 13, 2025

High-throughput Gene Tagging in Trypanosoma brucei
11:26

High-throughput Gene Tagging in Trypanosoma brucei

Published on: August 12, 2016

8.1K
Transcriptome Analysis of Single Cells
07:27

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

30.2K
Single-cell Quantitation of mRNA and Surface Protein Expression in Simian Immunodeficiency Virus-infected CD4+ T Cells Isolated from Rhesus macaques
13:13

Single-cell Quantitation of mRNA and Surface Protein Expression in Simian Immunodeficiency Virus-infected CD4+ T Cells Isolated from Rhesus macaques

Published on: September 25, 2018

10.7K

Area of Science:

  • Parasitology
  • Developmental Biology
  • Genomics

Background:

  • Dixenic parasites face harsh environmental shifts transitioning between hosts.
  • Successful parasite survival and life cycle completion depend on preadapted transmission stages.
  • Understanding these adaptations is key to controlling parasitic diseases.

Purpose of the Study:

  • To investigate gene expression dynamics during parasite differentiation.
  • To identify molecular mechanisms underlying parasite adaptation to new environments.
  • To compare transcriptomic profiles of different developmental stages.

Main Methods:

  • Single-cell RNA sequencing (scRNA-seq) was employed.
  • Transcriptomic data was analyzed to map gene expression patterns.
  • Comparative analysis was performed across developmental stages.

Main Results:

  • Distinct gene expression profiles were identified for different parasite stages.
  • Key genes involved in environmental adaptation and differentiation were highlighted.
  • The study provides a molecular basis for understanding parasite transmission.

Conclusions:

  • Single-cell transcriptomics is a powerful tool for studying parasite development.
  • Preadaptation mechanisms are crucial for parasite survival and transmission.
  • Findings offer insights into potential targets for anti-parasitic strategies.