2020
DOI: 10.1002/wrna.1590
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Conservation of a core neurite transcriptome across neuronal types and species

Abstract: A core transcriptome form neurites was consistently detected across multiple neuronal types and includes mRNAs enriched for components of the translation machinery, mitochondrial proteins, components of the cytoskeleton, and proteins associated with neurite formation.

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Cited by 33 publications
(44 citation statements)
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“…GO‐term analysis indicates the overrepresentation of specific cellular components in these compartments: ribosomal subunits, postsynaptic density and mitochondrial respiratory chain complex in the process compartment: extracellular matrix, extracellular space and secretory granule lumen in the somatic compartment (Fig 1D ; Appendix Fig S1 ). Importantly, we observed a very high correlation between our RNA‐seq dataset and a recently published meta‐analysis (von Kugelgen & Chekulaeva, 2020 ) of neurite‐enriched mRNAs derived from 11 independent high coverage datasets (Fig EV2A–E ). Together, these results are consistent with previous large‐scale studies (Poon et al , 2006 ; Cajigas et al , 2012 ; Zappulo et al , 2017 ; Kuzniewska et al , 2020 ) and suggest that our approach is able to faithfully capture differences in mRNA distribution between neuronal compartments.…”
Section: Resultssupporting
confidence: 67%
See 1 more Smart Citation
“…GO‐term analysis indicates the overrepresentation of specific cellular components in these compartments: ribosomal subunits, postsynaptic density and mitochondrial respiratory chain complex in the process compartment: extracellular matrix, extracellular space and secretory granule lumen in the somatic compartment (Fig 1D ; Appendix Fig S1 ). Importantly, we observed a very high correlation between our RNA‐seq dataset and a recently published meta‐analysis (von Kugelgen & Chekulaeva, 2020 ) of neurite‐enriched mRNAs derived from 11 independent high coverage datasets (Fig EV2A–E ). Together, these results are consistent with previous large‐scale studies (Poon et al , 2006 ; Cajigas et al , 2012 ; Zappulo et al , 2017 ; Kuzniewska et al , 2020 ) and suggest that our approach is able to faithfully capture differences in mRNA distribution between neuronal compartments.…”
Section: Resultssupporting
confidence: 67%
“… Pearson's correlation of RNA logFC (Processes vs Somata) under basal conditions to the average of significant log 2 enrichments of genes as of obtained by (von Kugelgen & Chekulaeva, 2020 ) from 11 high coverage datasets describing neuronal localization. The statistical significance of Pearson correlations was calculated in the standard fashion, i.e.…”
Section: Resultsmentioning
confidence: 99%
“…Due to the unique extensive morphology of neurons and their high dependence on intact intracellular protein transport, axonal defects are often thought to precede neurodegeneration [61][62][63][64]. Neurons also possess intricate and expansive transcriptomic profiles with its axons containing hundreds to thousands of mRNAs, including mRNAs of proteins that regulate gene expression in response to local axonal activity [65]. In addition to the main transport machinery such as dynein, kinesin, and their cargos, RBPs also play an indispensable supportive role in maintaining axonal transport.…”
Section: Axonal Transportmentioning
confidence: 99%
“…It is unclear, however, how much a transcript's somatic level influences its localization in processes, and whether transcripts can be enriched or excluded from the neurites regardless of their somatic abundances. In fact, mRNA localization is often defined based on either the absolute abundance of a transcript in neurites or the relative enrichment in comparison to somata (Kügelgen and Chekulaeva, 2020). These absolute versus relative values can generate significantly different abundance rankings of the mRNAs that comprise local transcriptomes.…”
Section: Introductionmentioning
confidence: 99%