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

Search research articles

Related Experiment Videos

A high-throughput method for quantifying gene expression data from early Drosophila embryos.

Hilde Janssens¹, Dave Kosman, Carlos E Vanario-Alonso

¹Department of Applied Mathematics and Statistics, and Center for Developmental Genetics, Stony Brook University, Stony Brook, NY 11794-3600, USA.

Development Genes and Evolution

|April 19, 2005

Summary

This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by

Same author

Re-Engineering Wimsatt for Limited Beings.

Acta biotheoretica·2026

Same author

Bioenergetic Model of Retrotransposon Activity in Cancer Cells.

Life (Basel, Switzerland)·2025

Same author

Characterizing the regulatory logic of transcriptional control at the DNA sequence level by ensembles of thermodynamic models.

Bioinformatics (Oxford, England)·2025

Same author

Two-State Stochastic Model of In Vivo Observations of Transcriptional Bursts.

Brazilian journal of physics·2025

Same author

Structural insights into brassinosteroid export mediated by the Arabidopsis ABC transporter ABCB1.

Plant communications·2024

Same author

Modeling Chickpea Productivity with Artificial Image Objects and Convolutional Neural Network.

Plants (Basel, Switzerland)·2024

Same journal

Editorial.

Development genes and evolution·2024

Same journal

Women authors in the first 50 years of DGE-contributions and research topics.

Development genes and evolution·2024

Same journal

Molecular evolution and genetic diversity of defective chorion 1 in Anastrepha fraterculus and Anastrepha obliqua (Diptera, Tephritidae).

Development genes and evolution·2024

Same journal

Effects of two chd2-knockout strains on the morphology and behavior in zebrafish.

Development genes and evolution·2024

Same journal

Zebrafish: unraveling genetic complexity through duplicated genes.

Development genes and evolution·2024

Same journal

The functional evolution of collembolan Ubx on the regulation of abdominal appendage formation.

Development genes and evolution·2024

See all related articles

We developed an automated method to quantify protein levels in single nuclei of Drosophila melanogaster embryos. This high-throughput technique uses image processing to analyze immunofluorescence, providing cellular-resolution data.

Area of Science:

Developmental Biology
Biotechnology
Computational Biology

Background:

Accurate measurement of protein levels in single cells is crucial for understanding developmental processes.
Existing methods for protein quantification in early embryos can be labor-intensive and lack cellular resolution.

Purpose of the Study:

To develop and validate an automated, high-throughput method for measuring protein concentrations within individual nuclei of Drosophila melanogaster blastoderm embryos.

Main Methods:

An image processing pipeline was created, integrating specific algorithms for automated nucleus identification and protein quantification.
The pipeline processes confocal microscopy images of embryos stained with fluorescently tagged antibodies.
Nuclei are identified using edge detection with watershed-based error correction, and average protein concentrations are calculated.

Related Experiment Videos

Main Results:

The method successfully quantifies average concentrations of three specific proteins per nucleus.
The pipeline transforms raw image data into a structured text file containing nucleus identifiers, centroid coordinates, and protein levels.
The automated approach achieves high-throughput analysis at cellular resolution.

Conclusions:

This automated immunofluorescence-based method enables efficient and precise quantification of nuclear protein levels in early Drosophila embryos.
The technique offers a valuable tool for high-throughput biological research, facilitating large-scale studies of gene and protein function during development.