Biology subjects

Hutson, T. H.

Publications and source records attributed to Hutson, T. H..

4 recordsLinked to original sources

bioRxiv2023

The circadian clock is a pacemaker of the axonal regenerative ability

Peripheral nervous system injuries lead to long-term neurological disability due to limited axonal regenerative ability. Injury-dependent and -independent physiological mechanisms have provided important molecular insight into neuronal regeneration. However, whether common molecular denominators underpin both injury-dependent and independent biological processes remain unclear. Here, we performed a comparative analysis of recently generated transcriptomic datasets associated with the regenerative ability of sciatic dorsal root ganglia (DRG). Surprisingly, circadian rhythms were identified as a the most significantly enriched biological process associated with regenerative capability. We demonstrate that DRG neurons possess an endogenous circadian clock with a 24h oscillations of circadian genes and that their regenerative ability displays a diurnal oscillation in a mouse model of sciatic nerve injury. Consistently, transcriptomic analysis of DRG neurons showed a significant time-of-day dependent enrichment for processes associated with axonal regeneration, development and growth, as well as circadian associated genes, including the core clock genes Bmal1 and Clock. Indeed, DRG-specific ablation of the non-redundant clock gene Bmal1 showed that it is required for regenerative gene expression, neuronal intrinsic circadian regeneration and target reinnervation. Lastly, lithium, a chrono-active compound, enhanced nerve regeneration, in wildtype but not in Bmal1 and Cry1/2-deficient mice. Together, these data demonstrate that daily rhythms and the molecular clock fine-tune the regenerative response of DRG neurons, and that chrono-active drugs, such as lithium, are a novel potential approach to nerve repair.

neuroscience↗

bioRxiv2021

Confronting false discoveries in single-cell differential expression

Differential expression analysis in single-cell transcriptomics enables the dissection of cell-type-specific responses to perturbations such as disease, trauma, or experimental manipulation. While many statistical methods are available to identify differentially expressed genes, the principles that distinguish these methods and their performance remain unclear. Here, we show that the relative performance of these methods is contingent on their ability to account for variation between biological replicates. Methods that ignore this inevitable variation are biased and prone to false discoveries. Indeed, the most widely used methods can discover hundreds of differentially expressed genes in the absence of biological differences. Our results suggest an urgent need for a paradigm shift in the methods used to perform differential expression analysis in single-cell data.

bioinformatics↗

bioRxiv2019

Cell type prioritization in single-cell data

We present a machine-learning method to prioritize the cell types most responsive to biological perturbations within high-dimensional single-cell data. We validate our method, Augur (https://github.com/neurorestore/Augur), on a compendium of single-cell RNA-seq, chromatin accessibility, and imaging transcriptomics datasets. We apply Augur to expose the neural circuits that enable walking after paralysis in response to spinal cord neurostimulation.

genomics↗

bioRxiv2018

PP4-dependent HDAC3 dephosphorylation discriminates between axonal regeneration and regenerative failure

The molecular mechanisms discriminating between regenerative failure and success remain elusive. While a regeneration-competent peripheral nerve injury mounts a regenerative gene expression response in bipolar dorsal root ganglia (DRG) sensory neurons, a regeneration-incompetent central spinal cord injury does not. This dichotomic response offers a unique opportunity to investigate the fundamental biological mechanisms underpinning regenerative ability. Following a pharmacological screen with small molecule inhibitors targeting key epigenetic enzymes in DRG neurons we identified HDAC3 signalling as a novel candidate brake to axonal regenerative growth. In vivo, we determined that only a regenerative peripheral but not a central spinal injury induces an increase in calcium, which activates protein phosphatase 4 that in turn dephosphorylates HDAC3 thus impairing its activity and enhancing histone acetylation. Bioinformatics analysis of ex vivo H3K9ac ChIPseq and RNAseq from DRG followed by promoter acetylation and protein expression studies implicated HDAC3 in the regulation of multiple regenerative pathways. Finally, genetic or pharmacological HDAC3 inhibition overcame regenerative failure of sensory axons following spinal cord injury. Together, these data indicate that PP4-dependent HDAC3 dephosphorylation discriminates between axonal regeneration and regenerative failure.\n\n\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=122 SRC=\"FIGDIR/small/446963_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (40K):\norg.highwire.dtl.DTLVardef@1bd577corg.highwire.dtl.DTLVardef@1ba990aorg.highwire.dtl.DTLVardef@195813corg.highwire.dtl.DTLVardef@57abc7_HPS_FORMAT_FIGEXP M_FIG Graphical AbstractFollowing central nervous system (CNS) spinal injury, protein phosphatase 4/2 activity is not induced since calcium levels remain unchanged compared to uninjured conditions. HDAC3 remains phosphorylated and occupies deacetylated chromatin contributing to its compaction inhibiting gene expression. Following peripheral nervous system (PNS) sciatic injury, protein phosphatase 4/2 activity is induced by calcium. HDAC3 is dephosphorylated leading to its inhibition and release from chromatin sites contributing to increase in histone acetylation and in the expression of regeneration associated genes (RAGs).\n\nC_FIG

neuroscience↗