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Biology subjects

Adler, D.

Publications and source records attributed to Adler, D..

2 recordsLinked to original sources

Mapping the spatiotemporal dynamics of de novo protein synthesis during long-term memory formation

The formation of new associative long-term memory (LTM) following Pavlovian conditioning is dependent upon multiple, temporally distinct windows of mRNA translation. Current methods lack the temporal specificity to robustly characterize the dynamics of protein synthesis throughout the rodent brain following conditioning. Here we resolve these technological limitations and demonstrate that in awake mice, the retro-orbital (RO) injection of azidohomoalanine (AHA) enables the labelling and subsequent visualization of the brain de novo proteome, with labelling periods as short as 30 minutes. Combining this advancement in de novo proteomic labelling with tissue clearing, we identified brain region, cell-type, and neuronal sub-population specific changes in de novo protein synthesis in mice following an auditory threat conditioning paradigm. This approach also allowed us to track the changes in de novo protein synthesis over time, revealing that conditioning-induced changes in mRNA translation exhibit remarkable temporal specificity in brain regions such as the somatosensory cortex. Taken together, our findings highlight how this novel labelling technique can be used to map the highly intricate temporal and spatial dynamics of mRNA translation after behavioral conditioning.

neuroscience↗

A Reproducibility Focused Meta-Analysis Method for Single-Cell Transcriptomic Case-Control Studies Uncovers Robust Differentially Expressed Genes

We assessed the reproducibility of differentially expressed genes (DEGs) in previously published Alzheimers (AD), Parkinsons (PD), Huntingtons (HD), Schizophrenia (SCZ), and COVID-19 scRNA-seq studies. While transcriptional scores from DEGs of individual PD, HD, and COVID-19 datasets had moderate predictive power for case-control status of other datasets, genes from individual AD and SCZ datasets had poor predictive power. We developed a non-parametric meta-analysis method, SumRank, based on reproducibility of relative differential expression ranks across datasets, and found DEGs with improved predictive power. By multiple metrics, specificity and sensitivity of these genes were substantially higher than those discovered by dataset merging and inverse variance weighted p-value aggregation methods and had significant enrichment in snATAC-seq peaks and human disease gene associations. The DEGs revealed known and novel biological pathways, such as up-regulation of chaperone-mediated protein processing in PD glia and lipid transport in AD and PD microglia, and down-regulation of glutamatergic processes in AD astrocytes and glutamatergic neurons and synaptic processing and neuron projection genes in HD FOXP2 neurons. We find 56 DEGs shared amongst AD, PD, and HD, and validate BCAT1 as down-regulated in AD mouse oligodendrocytes. Lastly, we evaluate factors influencing reproducibility of individual studies as a prospective guide for experimental design.

genomics↗