4.8 Article

Robust regulatory architecture of pan-neuronal gene expression

Journal

CURRENT BIOLOGY
Volume 32, Issue 8, Pages 1715-+

Publisher

CELL PRESS
DOI: 10.1016/j.cub.2022.02.040

Keywords

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Funding

  1. NIH Office of Research Infrastructure Programs [P40 OD010440]
  2. Howard Hughes Medical Institute
  3. National Institutes of Health [R01 NS 039996]
  4. EMBO long-term fellowship [ALTF 962-2014]

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The CUT family of homeobox genes control the specification of pan-neuronal identity in Caenorhabditis elegans. The effects on pan-neuronal gene expression and global nervous system function are minimal in single CUT mutants, but become more pronounced and worsen upon removal of additional CUT family members. Gene dosage is critical for the function of the CUT gene family.
Pan-neuronally expressed genes, such as genes involved in the synaptic vesicle cycle or in neuropeptide maturation, are critical for proper function of all neurons, but the transcriptional control mechanisms that direct such genes to all neurons of a nervous system remain poorly understood. We show here that six members of the CUT family of homeobox genes control pan-neuronal identity specification in Caenorhabditis elegans. Single CUT mutants show barely any effects on pan-neuronal gene expression or global nervous system function, but such effects become apparent and progressively worsen upon removal of additional CUT family members, indicating a critical role of gene dosage. Overexpression of each individual CUT gene rescued the phenotype of compound mutants, corroborating that gene dosage, rather than the activity of specific members of the gene family, is critical for CUT gene family function. Genome-wide binding profiles, as well as mutation of CUT homeodomain binding sites by CRISPR/Cas9 genome engineering show that CUT genes directly control the expression of pan-neuronal features. Moreover, CUT genes act in conjunction with neuron-type-specific transcription factors to control pan-neuronal gene expression. Our study, therefore, provides a previously missing key insight into how neuronal gene expression programs are specified and reveals a highly buffered and robust mechanism that controls the most critical functional features of all neuronal cell types.

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