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Related Experiment Video

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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

Pushing single-gene genetic analysis up a Notch.

¹Institute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland. ehafen@ethz.ch

Developmental Cell

|May 23, 2009

Summary

Genome-wide RNAi screens in Drosophila identify novel Notch pathway components. This study combines in vivo genetic screens with systems biology for pathway discovery.

Area of Science:

Developmental Biology
Genetics
Molecular Biology

Background:

Genetic screens in Drosophila have advanced significantly since early foundational studies.
Understanding signaling pathways is crucial for deciphering complex biological processes.

Purpose of the Study:

To identify novel components of the Notch signaling pathway.
To showcase the utility of genome-wide RNAi screens and systems biology in genetic discovery.

Main Methods:

Utilized genome-wide RNAi-based reverse genetic screens in vivo.
Applied systems biology approaches to analyze screening data.

Main Results:

Successfully identified new genes involved in the Notch signaling pathway.

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Genetic Profiling and Genome-Scale Dropout Screening to Identify Therapeutic Targets in Mouse Models of Malignant Peripheral Nerve Sheath Tumor

Genetic Profiling and Genome-Scale Dropout Screening to Identify Therapeutic Targets in Mouse Models of Malignant Peripheral Nerve Sheath Tumor

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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay (EMSA) and DNA-affinity Precipitation Assay (DAPA)

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Genetic Profiling and Genome-Scale Dropout Screening to Identify Therapeutic Targets in Mouse Models of Malignant Peripheral Nerve Sheath Tumor

Genetic Profiling and Genome-Scale Dropout Screening to Identify Therapeutic Targets in Mouse Models of Malignant Peripheral Nerve Sheath Tumor

Published on: August 25, 2023

Demonstrated the power of integrating large-scale genetic screening with computational analysis.

Conclusions:

Genome-wide RNAi screens are effective for discovering pathway components.
Systems biology approaches enhance the interpretation of genetic screen data for pathway elucidation.