In silico analysis of the transcriptional regulatory logic of neuronal identity specification throughout the C. elegans nervous system
Autor: | Marc Hammarlund, Laura Pereira, Molly B. Reilly, Nenad Sestan, Eviatar Yemini, Seth R. Taylor, Manasa Basavaraju, Lori Glenwinkel, Roger Pocock, Oliver Hobert, Ibnul Rafi, Kasper Langebeck-Jensen, David M. Miller |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Nervous system
QH301-705.5 Science In silico Computational biology Phylogenetic footprinting Nervous System General Biochemistry Genetics and Molecular Biology medicine Animals Computer Simulation Biology (General) Caenorhabditis elegans Caenorhabditis elegans Proteins Gene Transcription factor neuronal differentiation transcription factor Neurons General Immunology and Microbiology biology Effector General Neuroscience Gene Expression Regulation Developmental cis-regulatory analysis Cell Differentiation General Medicine biology.organism_classification medicine.anatomical_structure nervous system C. elegans Medicine Neuron Research Article Neuroscience Transcription Factors |
Zdroj: | eLife Glenwinkel, L, Taylor, S R, Langebeck-Jensen, K, Pereira, L, Reilly, M B, Basavaraju, M, Rafi, I, Yemini, E, Pocock, R, Sestan, N, Hammarlund, M, Miller, D M & Hobert, O 2021, ' In silico analysis of the transcriptional regulatory logic of neuronal identity specification throughout the c. Elegans nervous system ', eLife, vol. 10, e64906, pp. 1-29 . https://doi.org/10.7554/eLife.64906 eLife, Vol 10 (2021) |
ISSN: | 2050-084X |
Popis: | The generation of the enormous diversity of neuronal cell types in a differentiating nervous system entails the activation of neuron type-specific gene batteries. To examine the regulatory logic that controls the expression of neuron type-specific gene batteries, we interrogate single cell expression profiles of all 118 neuron classes of theCaenorhabditis elegansnervous system for the presence of DNA binding motifs of 136 neuronally expressedC. eleganstranscription factors. Using a phylogenetic footprinting pipeline, we identifycis-regulatory motif enrichments among neuron class-specific gene batteries and we identify cognate transcription factors for 117 of the 118 neuron classes. In addition to predicting novel regulators of neuronal identities, our nervous system-wide analysis at single cell resolution supports the hypothesis that many transcription factors directly co-regulate the cohort of effector genes that define a neuron type, thereby corroborating the concept of so-called terminal selectors of neuronal identity. Our analysis provides a blueprint for how individual components of an entire nervous system are genetically specified. |
Databáze: | OpenAIRE |
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