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The mammalian claustrum, owing to its widespread connectivity with other forebrain structures, has been hypothesized to mediate functions that range from decision-making to consciousness1. Here we report that a homologue of the claustrum, identified by single-cell transcriptomics and viral tracing of connectivity, also exists in a reptile—the Australian bearded dragon Pogona vitticeps. In Pogona, the claustrum underlies the generation of sharp waves during slow-wave sleep. The sharp waves, together with superimposed high-frequency ripples2, propagate to the entire neighbouring pallial dorsal ventricular ridge (DVR). Unilateral or bilateral lesions of the claustrum suppress the production of sharp-wave ripples during slow-wave sleep in a unilateral or bilateral manner, respectively, but do not affect the regular and rapidly alternating sleep rhythm that is characteristic of sleep in this species3. The claustrum is thus not involved in the generation of the sleep rhythm itself. Tract tracing revealed that the reptilian claustrum projects widely to a variety of forebrain areas, including the cortex, and that it receives converging inputs from, among others, areas of the mid- and hindbrain that are known to be involved in wake–sleep control in mammals4–6. Periodically modulating the concentration of serotonin in the claustrum, for example, caused a matching modulation of sharp-wave production there and in the neighbouring DVR. Using transcriptomic approaches, we also identified a claustrum in the turtle Trachemys scripta, a distant reptilian relative of lizards. The claustrum is therefore an ancient structure that was probably already present in the brain of the common vertebrate ancestor of reptiles and mammals. It may have an important role in the control of brain states owing to the ascending input it receives from the mid- and hindbrain, its widespread projections to the forebrain and its role in sharp-wave generation during slow-wave sleep.

Multiplex experimentation that can assay multiple cellular signaling pathways in the same cells requires orthogonal genetically encoded reporters that report over large dynamic ranges. Luciferases are cost‐effective, versatile candidates whose output signals can be sensitively detected in a multiplex fashion. Commonly used dual luciferase reporter assays detect one luciferase that is coupled to a single cellular pathway and a second that is coupled to a control pathway for normalization purposes. We have expanded this approach to multiplex hextuple luciferase assays that can report on five cellular signaling pathways and one control, each of which is encoded by a unique luciferase. Light emission by the six luciferases can be distinguished by the use of two distinct substrates, each specific for three luciferases, followed by spectral decomposition of the light emitted by each of the three luciferase enzymes with bandpass filters. Here, we present detailed protocols on how to perform multiplex hextuple luciferase assaying to monitor pathway fluxes through transcriptional response elements for five specific signaling pathways (i.e., c‐Myc, NF‐κβ, TGF‐β, p53, and MAPK/JNK) using the constitutive CMV promoter as normalization control. Protocols are provided for preparing reporter vector plasmids for multiplex reporter assaying, performing cell culture and multiplex luciferase reporter vector plasmid transfection, executing multiplex luciferase assays, and analyzing and interpreting data obtained by a plate reader appropriately equipped to detect the different luminescences. © 2020 Wiley Periodicals LLC. Basic Protocol 1: Preparation of vectors for multiplex hextuple luciferase assaying Basic Protocol 2: Cell culture work for multiplex hextuple luciferase assays Basic Protocol 3: Transfection of luciferase reporter plasmids followed by drug and recombinant protein treatments Basic Protocol 4: Performing the multiplex hextuple luciferase assay

Discriminating transcriptional changes that drive disease pathogenesis from nonpathogenic and compensatory responses is a daunting challenge. This is particularly true for neurodegenerative diseases, which affect the expression of thousands of genes in different brain regions at different disease stages. Here we integrate functional testing and network approaches to analyze previously reported transcriptional alterations in the brains of Huntington disease (HD) patients. We selected 312 genes whose expression is dysregulated both in HD patients and in HD mice and then replicated and/or antagonized each alteration in a DrosophilaHD model. High-throughput behavioral testing in this model and controls revealed that transcriptional changes in synaptic biology and calcium signaling are compensatory, whereas alterations involving the actin cytoskeleton and inflammation drive disease. Knockdown of disease-driving genes in HD patient-derived cells lowered mutant Huntingtin levels and activated macroautophagy, suggesting a mechanism for mitigating pathogenesis. Our multilayered approach can thus untangle the wealth of information generated by transcriptomics and identify early therapeutic intervention points.