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Chemical synapses are a physically and functionally varied type of cell-cell contact specialized in conducting communication between neurons. They are the smallest "computational" unit of the brain and are often classified as electrical and chemical, and they can be distinguished based on their transmission mechanism. These categories could be further broken into many kinds, each having a specific structure-function repertoire that is hypothesized to provide neural networks with distinct computational capabilities. Heterogeneity refers to the variety of structures and functions present in a particular category of synapses. Contributing factors for this heterogeneity may be the synaptic vesicles, the active zone (AZ), the synaptic cleft, the postsynaptic density, and the glial processes associated with the synaptic contacts. Each of these five structural modules has its own set of functions, and their combination determines the spectrum of functional heterogeneity at mammalian excitatory synapses. This work focused on the changes in AZ protein expression after chemical induction of plasticity with forskolin in synaptic contacts of the hippocampal mossy fibers. With the nanoscopic resolution provided by dSTORM, along with the multicolor SIM imaging capabilities, changes in expression of key presynaptic AZ components were analyzed. Using SIM imaging along with a standardized stimulation protocol in acute brain slices from male 16-week old Thy1-mEGFP (Lsi1) mice, the changes of the key AZ proteins Bassoon, Munc 13-1 and Tomosyn were investigated 30 min after stimulation with forskolin (50 μM for 30 min). Forskolin induced changes in these proteins largely in small synaptic contacts whereas no clear changes were detected in large mossy fiber boutons. However, due to the high variability it cannot be ruled out that forskolin may differentially modify AZ protein composition depending on experimental circumstances such as age and gender of mice or the time point and duration of forskolin stimulation. The dSTORM data demonstrated feasibility to perform single molecule 3D imaging of hippocampal presynaptic AZs and allowed quantitative mapping of molecular changes in AZ proteins after induction of plasticity. The findings suggest high heterogeneity in mossy fiber synaptic contacts that may have an impact on the function of neural networks. These imaging approaches may now be used to identify potential differences in functional molecular rearrangements of synaptic proteins in healthy and diseased brain (e.g. after induction of traumatic brain injury).
Dual RNA-seq captures both host and pathogen transcriptomes at the site of infection, facilitating an exploration of processes that play an essential role in pathogenesis and the host defense. This work presents an application of this technique to explore processes occurring during the infection of the human endothelial cells with two clinical isolates of Orientia tsutsugamushi (Ot) — the causative agent of scrub typhus. Combining comparative genomics, transcriptomics, and proteomics, we investigated the transcriptional architecture of Ot and identified non-coding RNAs, operon structures, and widespread antisense transcription, that may have a role in regulation of repetitive genes that are abundant in the Ot genome. In addition, the comparative analysis of bacterial and eukaryotic transcriptomes allowed us to investigate factors that drive the difference in virulence between Karp and UT176 and the host response to these two Ot strains.
The host and pathogen transcriptional profiles in each dual RNA-seq study are obtained in‑silico by adopting tools developed for RNA-seq data analysis. The Dualrnaseq pipeline presented in the second part of this work is the first publicly available, highly reproducible, scalable, and user‑friendly workflow developed for processing dual RNA‑seq data of any eukaryotic and bacterial organisms with a reference genome and annotation. It provides three mapping and quantification strategies: (i) alignment-based mapping of reads onto the chimeric genome with STAR followed by counting of uniquely mapped reads with HTSeq; (ii) a fast transcriptome quantification method handling multi‑mapped reads (Salmon with Selective Alignment); (iii) and Salmon alignment-based mode which uses a STAR‑derived alignment combined with Salmon quantification. Performing an initial benchmark analysis of the employed methods we provided recommendations ensuring accurate estimation of host and pathogen transcript expression.
Purpose
The purpose of this study is to investigate changes over time in quality of life (QoL) in incurable lung cancer patients and the impact of determinants like molecular alterations (MA).
Methods
In a prospective, longitudinal, multicentric study, we assessed QoL, symptom burden, psychological distress, unmet needs, and prognostic understanding of patients diagnosed with incurable lung cancer at the time of the diagnosis (T0) and after 3 (T1), 6 (T2) and 12 months (T3) using validated questionnaires like FACT-L, National Comprehensive Cancer Network (NCCN) Distress Thermometer (DT), PHQ-4, SCNS-SF-34, and SEIQoL.
Results
Two hundred seventeen patients were enrolled, 22 (10%) with reported MA. QoL scores improved over time, with a significant trend for DT, PHQ-4, and SCNS-SF-34. Significant determinants for stable or improving scores over time were survival > 6 months, performance status at the time of diagnosis, and presence of MA. Patients with MA showed better QoL scores (FACT-L at T1 104.4 vs 86.3; at T2 107.5 vs 90.0; at T3 100.9 vs 92.8) and lower psychological distress (NCCN DT at T1 3.3 vs 5; at T2 2.7 vs 4.5; at T3 3.7 vs 4.5; PHQ-4 at T1 2.3 vs 4.1; at T2 1.7 vs 3.6; at T3 2.2 vs 3.6), but also a worsening of the scores at 1 year and a higher percentage of inaccurate prognostic understanding (27 vs 17%) compared to patients without MA.
Conclusion
Patients with tumors harboring MA are at risk of QoL deterioration during the course of the disease. Physicians should adapt their communication strategies in order to maintain or improve QoL.