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Schwartz, S. L.

Publications and source records attributed to Schwartz, S. L..

5 recordsLinked to original sources

Antisense, but not sense, repeat expanded RNAs activate PKR/eIF2α-dependent integrated stress response in C9orf72 FTD/ALS

GGGGCC (G4C2) hexanucleotide repeat expansion in the C9orf72 gene is the most common genetic cause of frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS). The repeat is bidirectionally transcribed and confers gain of toxicity. However, the underlying toxic species is debated, and it is not clear whether antisense CCCCGG (C4G2) repeat expanded RNAs contribute to disease pathogenesis. Our study shows that C9orf72 (C4G2) antisense repeat expanded RNAs trigger the activation of the PKR/eIF2-dependent integrated stress response independent of dipeptide repeat proteins that are produced through repeat-associated non-AUG initiated translation, leading to global translation inhibition and stress granule formation. Increased phosphorylation of PKR/eIF2 is also observed in the frontal cortex of C9orf72 FTD/ALS patients. Finally, only antisense (C4G2), but not sense (G4C2), repeat expanded RNAs can activate the PKR/eIF2 pathway. These results provide a mechanism by which antisense repeat expanded RNAs elicit neuronal toxicity in FTD/ALS caused by C9orf72 repeat expansions.

neuroscience↗

Song type variations of Louisiana Waterthrush (Parkesia motacilla) and their geographic distributions

Louisiana Waterthrush (Parkesia motacilla) is a familiar singer in the Western Hemisphere family Parulidae, yet apparent geographic variations in its song and potentially related causal mechanisms have not received detailed examination in previously published studies. Here, we analyzed song pattern variations of 651 Louisiana Waterthrush singers in audio spectrogram recordings obtained from our field work and publicly accessible bioacoustics archives. Visual and auditory assessment of the introductory note sequence of each song identified three distinct song types (A, B, and C) and 88.3% of the songs were assigned to one of these types. Linear Discriminant Analysis and Random Forest methods were used to verify the assignments and showed strong agreement (>90%) for Type A with slightly less agreement on Types B and C. User error rates (proportion of the Linear Discriminant Analysis classifications that were incorrect) were <10% for Types A and B, but 26% for Type C, while producer error rates (proportion of the song type for which the Linear Discriminant Analysis was incorrect) were >25% for Types A and C, but <5% for Type B. Our findings confirmed in a subset of 87 individuals that most between-individual variation was in the number of notes and note sequence duration while most within-individual variation resulted from the percent of downstrokes. The location of each singer was plotted on a map of the breeding range and results indicated the song types have large-scale discrete geographic distributions that co-occur in some regions but not range-wide. Evaluation of the distributions provided tentative support for a hypothesis that two of the song types may independently exhibit congruence with the geographic extent of Pleistocene glacial boundaries and the third song type may be distinguished by a lack of congruence, but further investigation is needed to elucidate whether the song variations represent subpopulations with three separate evolutionary histories.

zoology↗

Local neuronal secretory trafficking dynamics revealed with zapERtrap: a light-inducible ER release system

For normal synapse and circuit function, neurons must regulate the abundance and localization of transmembrane receptor, channel and adhesion proteins over vast cellular expanses, including remote sites in dendrites and axons. Whether the secretory network can support long-range trafficking of synaptic proteins synthesized in the cell body or precise trafficking of locally generated proteins at remote sites remains poorly characterized. We developed an approach for locally triggering secretory trafficking from specific subcellular domains to explore the rate, activity dependence and cargo-specificity of central and remote trafficking networks. Surprisingly, different postsynaptic proteins processed in the cell body were transported deep into dendrites, but with strikingly different kinetics, spatial distributions and activity dependencies. Proteins locally processed in dendrites were broadly dispersed prior to surface insertion, but could be directed locally to synapses. These results provide a novel interrogation of compartmentalized trafficking and reveal basic principles for protein targeting in complex cellular environments.

cell biology↗

Promoter scanning during transcription initiation in Saccharomyces cerevisiae: Pol II in the \"shooting gallery\"

BackgroundThe majority of eukaryotic promoters utilize multiple transcription start sites (TSSs). How multiple TSSs are specified at individual promoters across eukaryotes is not understood for most species. In S. cerevisiae, a preinitiation complex comprised of Pol II and conserved general transcription factors (GTFs) assembles and opens DNA upstream of TSSs. Evidence from model promoters indicates that the preinitiation complex (PIC) scans from upstream to downstream to identify TSSs. Prior results suggest that TSS distributions at promoters where scanning occurs shift in a polar fashion upon alteration in Pol II catalytic activity or GTF function. ResultsTo determine extent of promoter scanning across promoter classes in S. cerevisiae, we perturbed Pol II catalytic activity and GTF function and analyzed their effects on TSS usage genome-wide. We find that alterations to Pol II, TFIIB, or TFIIF function widely alter the initiation landscape consistent with promoter scanning operating at all yeast promoters, regardless of promoter class. Promoter architecture, however, can determine extent of promoter sensitivity to altered Pol II activity in ways that are predicted by a scanning model. ConclusionsOur observations coupled with previous data validate key predictions of the scanning model for Pol II initiation in yeast - which we term the "shooting gallery". In this model, Pol II catalytic activity, and the rate and processivity of Pol II scanning together with promoter sequence determine the distribution of TSSs and their usage.

molecular biology↗

Differential Mast Cell Outcomes Are Sensitive to FcϵRI-Syk Binding Kinetics

Crosslinking of IgE-bound Fc{varepsilon}RI triggers multiple cellular responses, including degranulation and cytokine production. Signaling is dependent on recruitment of Syk via docking of its dual SH2 domains to phosphorylated tyrosines within the Fc{varepsilon}RI immunoreceptor tyrosine-based activation motifs. Using single molecule imaging in live cells, we directly visualized and quantified the binding of individual mNeonGreen-tagged Syk molecules as they associated with the plasma membrane after Fc{varepsilon}RI activation. We found that Syk colocalizes transiently to Fc{varepsilon}RI and that Syk-Fc{varepsilon}RI binding dynamics are independent of receptor aggregate size. Substitution of glutamic acid for tyrosine between the Syk SH2 domains (SykY130E) led to an increased Syk-Fc{varepsilon}RI off-rate, loss of site-specific Syk autophosphorylation, and impaired downstream signaling. CRISPR-Cas9 engineered cells expressing only SykY130E were deficient in antigen-stimulated calcium release, degranulation and production of some cytokines (TNF-a, IL-3) but not others (MCP-1, IL-4). We propose that kinetic discrimination along the Fc{varepsilon}RI signaling pathway occurs at the level of Syk-Fc{varepsilon}RI interactions, with key outcomes dependent upon sufficiently long-lived Syk binding events.\n\nSummarySchwartz et al. use single molecule imaging to quantify the transient nature of Fc{varepsilon}RI-Syk interactions in live mast cells. A functional mutation that increases Syk off-rate leads to loss of site-specific Syk phosphorylation and impaired signaling, highlighting the importance of finely tuned protein interactions in directing cellular outcomes.

cell biology↗