Spatiotemporally controlled genetic perturbation for efficient large-scale studies of cell non-autonomous effects.

Elife

Centre for Developmental Neurobiology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.

Published: November 2018

AI Article Synopsis

  • Research on genetic model organisms has primarily focused on individual cell functions, while less attention has been given to how disrupted cells interact with healthy cells, revealing a gap in understanding complex tissue pathology.
  • The authors created new genetic tools allowing for precise control of genetic changes, enabling the study of non-autonomous effects within a single strain, separate from the traditional GAL4/UAS system.
  • These innovative tools can facilitate extensive genetic screening for harmful phenotypes and have potential applications in various fields, particularly in understanding neural tumor growth and broader neuroscience research.

Article Abstract

Studies in genetic model organisms have revealed much about the development and pathology of complex tissues. Most have focused on cell-intrinsic gene functions and mechanisms. Much less is known about how transformed, or otherwise functionally disrupted, cells interact with healthy ones toward a favorable or pathological outcome. This is largely due to technical limitations. We developed new genetic tools in that permit efficient multiplexed gain- and loss-of-function genetic perturbations with separable spatial and temporal control. Importantly, our novel tool-set is independent of the commonly used GAL4/UAS system, freeing the latter for additional, non-autonomous, genetic manipulations; and is built into a single strain, allowing one-generation interrogation of non-autonomous effects. Altogether, our design opens up efficient genome-wide screens on any deleterious phenotype, once plasmid or genome engineering is used to place the desired miRNA(s) or ORF(s) into our genotype. Specifically, we developed tools to study extrinsic effects on neural tumor growth but the strategy presented has endless applications within and beyond neurobiology, and in other model organisms.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6320068PMC
http://dx.doi.org/10.7554/eLife.38393DOI Listing

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