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    13273 research outputs found

    Compositions and methods for treating acute myeloid leukemia

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    The present disclosure relates generally to methods for ameliorating or treating acute myeloid leukemia (AML). In particular, the present technology relates to administering a therapeutically effective amount of one or more compositions that inhibit the vitamin B6 pathway to a subject diagnosed with, or at risk for AML

    Brain-wide mapping of c-fos expression in the single prolonged stress model and the effects of pretreatment with ACH-000029 or prazosin.

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    Post-traumatic stress disorder (PTSD) is a mental health condition that is triggered by a stressful event, with symptoms including exaggerated startle response, intrusive traumatic memories and nightmares. The single prolonged stress (SPS) is a multimodal stress protocol that comprises a sequential exposure to physical restraint, forced swimming, predator scent and ether anesthesia. This procedure generates behavioral and neurobiological alterations that resemble clinical findings of PTSD, and thus it is commonly used to model the disease in rodents. Here, we applied c-fos mapping to produce a comprehensive view of stress-activated brain regions in mice exposed to SPS alone or to SPS after oral pretreatment with the serotonin-noradrenaline receptor dual modulator ACH-000029 or the α1-adrenergic blocker prazosin. The SPS protocol evoked c-fos expression in several brain regions that control the stress-anxiety response, including the central and medial amygdala, the bed nucleus of the stria terminalis, the pallidum, the paraventricular hypothalamus, the intermediodorsal, paraventricular and central medial thalamic nuclei, the periaqueductal gray, the lateral habenula and the cuneiform nucleus. These effects were partially blocked by pretreatment with prazosin but completely prevented by ACH-000029. Collectively, these findings contribute to the brain-wide characterization of neural circuits involved in PTSD-related stress responses. Furthermore, the identification of brain areas regulated by ACH-000029 and prazosin revealed regions in which SPS-induced activation may depend on the combined or isolated action of the noradrenergic and serotonergic systems. Finally, the dual regulation of serotonin and α1 receptors by ACH-000029 might represent a potential pharmacotherapy that can be applied in the peri-trauma or early post-trauma period to mitigate the development of symptoms in PTSD patients

    Replicability of spatial gene expression atlas data from the adult mouse brain

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    Background Spatial gene expression is particularly interesting in the mammalian brain, with the potential to serve as a link between many data types. However, as with any type of expression data, cross-dataset benchmarking of spatial data is a crucial first step. Here, we assess the replicability, with reference to canonical brain sub-divisions, between the Allen Institute’s in situ hybridization data from the adult mouse brain (ABA) and a similar dataset collected using Spatial Transcriptomics (ST). With the advent of tractable spatial techniques, for the first time we are able to benchmark the Allen Institute’s whole-brain, whole-transcriptome spatial expression dataset with a second independent dataset that similarly spans the whole brain and transcriptome. Results We use LASSO, linear regression, and correlation-based feature selection in a supervised learning framework to classify expression samples relative to their assayed location. We show that Allen reference atlas labels are classifiable using transcription, but that performance is higher in the ABA than ST. Further, models trained in one dataset and tested in the opposite dataset do not reproduce classification performance bi-directionally. Finally, while an identifying expression profile can be found for a given brain area, it does not generalize to the opposite dataset. Conclusions In general, we found that canonical brain area labels are classifiable in gene expression space within dataset and that our observed performance is not merely reflecting physical distance in the brain. However, we also show that cross-platform classification is not robust. Emerging spatial datasets from the mouse brain will allow further characterization of cross-dataset replicability

    Lateral Hypothalamic Control of Sleep in the Context of Cancer

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    Sleep plays a vital role in health and well-being. Its conservation along nearly all branches of the phylogenetic tree suggests that sleep serves an essential biological function. Disrupted or truncated sleep is consistently linked to heart disease, depression, obesity, and more recently, cancer. Indeed, chronic sleep disturbance affects 10%-20% of the population in the developed world, representing a substantial public health problem that translates into an estimated financial burden in the hundreds of billions of dollars annually. Poor sleep is a strong predictor of subsequent mortality in cancer patients even when taking into consideration other risk factors including age, hormone receptor status, cortisol concentrations, depression, and metastatic spread. Despite the prevalence of these problems, the underlying mechanisms mediating cancer-associated changes in sleep are unknown. Here, we discuss recent evidence supporting a cross-talk among tumors in the periphery, the nervous, endocrine, metabolic, and immune systems leading to sleep and systemic disruption. Special emphasis is given to the lateral hypothalamus, which contains many neural populations that couple sleep to metabolic state, immune status, and the environment. Among these, hypocretin/orexin neurons have been the most well characterized. We further lay down logical "next-steps" in this research area that are likely to drive the development of novel treatments for cancer-associated sleep disruption

    Arousal State-Dependent Alterations in VTA-GABAergic Neuronal Activity.

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    Decades of research have implicated the ventral tegmental area (VTA) in motivation, learning and reward processing. We and others recently demonstrated that it also serves as an important node in sleep/wake regulation. Specifically, VTA-dopaminergic neuron activation is sufficient to drive wakefulness and necessary for the maintenance of wakefulness. However, the role of VTA-GABAergic neurons in arousal regulation is not fully understood. It is still unclear whether VTA-GABAergic neurons predictably alter their activity across arousal states, what is the nature of interactions between VTA-GABAergic activity and cortical oscillations, and how activity in VTA-GABAergic neurons relates to VTA-dopaminergic neurons in the context of sleep/wake regulation. To address these, we simultaneously recorded population activity from VTA subpopulations and electroencephalography/electromyography (EEG/EMG) signals during spontaneous sleep/wake states and in the presence of salient stimuli in freely-behaving mice. We found that VTA-GABAergic neurons exhibit robust arousal-state-dependent alterations in population activity, with high activity and transients during wakefulness and REM sleep. During wakefulness, population activity of VTA-GABAergic neurons, but not VTA-dopaminergic neurons, was positively correlated with EEG γ power and negatively correlated with θ power. During NREM sleep, population activity in both VTA-GABAergic and VTA-dopaminergic neurons negatively correlated with δ, θ, and σ power bands. Salient stimuli, with both positive and negative valence, activated VTA-GABAergic neurons. Together, our data indicate that VTA-GABAergic neurons, like their dopaminergic counterparts, drastically alter their activity across sleep-wake states. Changes in their activity predicts cortical oscillatory patterns reflected in the EEG, which are distinct from EEG spectra associated with dopaminergic neural activity

    Single-Chromosomal Gains Can Function as Metastasis Suppressors and Promoters in Colon Cancer

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    High levels of cancer aneuploidy are frequently associated with poor prognosis. To examine the relationship between aneuploidy and cancer progression, we analyzed a series of congenic cell lines that harbor single extra chromosomes. We found that across 13 different trisomic cell lines, 12 trisomies suppressed invasiveness or were largely neutral, while a single trisomy increased metastatic behavior by triggering a partial epithelial-mesenchymal transition. In contrast, we discovered that chromosomal instability activates cGAS/STING signaling but strongly suppresses invasiveness. By analyzing patient copy-number data, we demonstrate that specific aneuploidies are associated with distinct outcomes, and the acquisition of certain aneuploidies is in fact linked with a favorable prognosis. Thus, aneuploidy is not a uniform driver of malignancy, and different aneuploidies can uniquely influence tumor progression. At the same time, the gain of a single chromosome is capable of inducing a profound cell state transition, thereby linking genomic plasticity, phenotypic plasticity, and metastasis

    HYPERsol: High-Quality Data from Archival FFPE Tissue for Clinical Proteomics

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    Massive formalin-fixed, paraffin-embedded (FFPE) tissue archives exist worldwide, representing an invaluable resource for clinical proteomics research. However, current protocols for FFPE proteomics lack standardization, efficiency, reproducibility, and scalability. Here we present high-yield protein extraction and recovery by direct solubilization (HYPERsol), an optimized workflow using ultrasonication and S-Trap sample processing that enables proteome coverage and quantification from FFPE samples comparable to that achieved from flash-frozen tissue (average R = 0.936). When applied to archival samples, HYPERsol resulted in high-quality data from FFPE specimens in storage for up to 17 years, and may enable the discovery of new immunohistochemical markers

    Cancer-cell-derived matrisome proteins promote metastasis in pancreatic ductal adenocarcinoma

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    The prognosis for pancreatic ductal adenocarcinoma (PDAC) remains poor despite decades of effort. The abundant extracellular matrix (ECM) in PDAC comprises a major fraction of the tumor mass and plays various roles in promoting resistance to therapies. However, non-selective depletion of ECM has led to poor patient outcomes. Consistent with that observation, we previously showed that individual matrisome proteins derived from stromal cells correlate with either long or short patient survival. In marked contrast, those derived from cancer cells correlate strongly with poor survival. Here we studied three cancer-cell-derived matrisome proteins that are significantly overrepresented during PDAC progression; AGRN (agrin), SERPINB5 (serine protease inhibitor B5), and CSTB (cystatin B). Using both overexpression and knockdown experiments, we demonstrate that all three are promoters of PDAC metastasis. Furthermore, these proteins operate at different metastatic steps. AGRN promoted EMT in primary tumors, whereas SERPINB5 and CSTB enhanced late steps in the metastatic cascade by elevating invadopodia formation and in vivo extravasation. All three genes were associated with a poor prognosis in human patients and high levels of SERPINB5, secreted by cancer cells and deposited in the ECM, correlated with poor patient prognosis. This study provides strong evidence that cancer-cell-derived matrisome proteins can be causal in promoting tumorigenesis and metastasis and lead to poor patient survival. Therefore, compared with the bulk matrix, mostly made by stromal cells, precise interventions targeting cancer-cell-derived matrisome proteins, such as AGRN, SERPINB5, and CSTB, may represent preferred potential therapeutic targets

    Opposing Contributions of GABAergic and Glutamatergic Ventral Pallidal Neurons to Motivational Behaviors

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    The ventral pallidum (VP) is critical for invigorating reward seeking and is also involved in punishment avoidance, but how it contributes to such opposing behavioral actions remains unclear. Here, we show that GABAergic and glutamatergic VP neurons selectively control behavior in opposing motivational contexts. In vivo recording combined with optogenetics in mice revealed that these two populations oppositely encode positive and negative motivational value, are differentially modulated by animal's internal state, and determine the behavioral response during motivational conflict. Furthermore, GABAergic VP neurons are essential for movements toward reward in a positive motivational context but suppress movements in an aversive context. In contrast, glutamatergic VP neurons are essential for movements to avoid a threat but suppress movements in an appetitive context. Our results indicate that GABAergic and glutamatergic VP neurons encode the drive for approach and avoidance, respectively, with the balance between their activities determining the type of motivational behavior

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