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Species

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Gene

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Platform

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Channel

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HiPlex Channel

  • T1 (85058) Apply T1 filter
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  • T11 (85039) Apply T11 filter
  • T9 (82563) Apply T9 filter
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  • S1 (32) Apply S1 filter
  • 8 (17) Apply 8 filter
  • 1 (1) Apply 1 filter
  • 10 (1) Apply 10 filter
  • 6 (1) Apply 6 filter

Product

  • RNAscope Multiplex Fluorescent Assay (1035) Apply RNAscope Multiplex Fluorescent Assay filter
  • RNAscope (998) Apply RNAscope filter
  • RNAscope Fluorescent Multiplex Assay (732) Apply RNAscope Fluorescent Multiplex Assay filter
  • RNAscope 2.5 HD Red assay (704) Apply RNAscope 2.5 HD Red assay filter
  • RNAscope 2.0 Assay (497) Apply RNAscope 2.0 Assay filter
  • RNAscope 2.5 HD Brown Assay (293) Apply RNAscope 2.5 HD Brown Assay filter
  • TBD (193) Apply TBD filter
  • RNAscope 2.5 LS Assay (191) Apply RNAscope 2.5 LS Assay filter
  • RNAscope 2.5 HD Duplex (160) Apply RNAscope 2.5 HD Duplex filter
  • RNAscope 2.5 HD Reagent Kit - BROWN (108) Apply RNAscope 2.5 HD Reagent Kit - BROWN filter
  • RNAscope Multiplex Fluorescent v2 (97) Apply RNAscope Multiplex Fluorescent v2 filter
  • BASEscope Assay RED (91) Apply BASEscope Assay RED filter
  • RNAscope 2.5 VS Assay (85) Apply RNAscope 2.5 VS Assay filter
  • Basescope (53) Apply Basescope filter
  • RNAscope HiPlex v2 assay (30) Apply RNAscope HiPlex v2 assay filter
  • miRNAscope (26) Apply miRNAscope filter
  • DNAscope HD Duplex Reagent Kit (15) Apply DNAscope HD Duplex Reagent Kit filter
  • RNAscope 2.5 HD duplex reagent kit (13) Apply RNAscope 2.5 HD duplex reagent kit filter
  • BaseScope Duplex Assay (12) Apply BaseScope Duplex Assay filter
  • RNAscope Multiplex fluorescent reagent kit v2 (6) Apply RNAscope Multiplex fluorescent reagent kit v2 filter
  • RNAscope Fluorescent Multiplex Reagent kit (5) Apply RNAscope Fluorescent Multiplex Reagent kit filter
  • RNAscope ISH Probe High Risk HPV (5) Apply RNAscope ISH Probe High Risk HPV filter
  • CTCscope (4) Apply CTCscope filter
  • RNAscope 2.5 HD Reagent Kit (4) Apply RNAscope 2.5 HD Reagent Kit filter
  • RNAscope HiPlex12 Reagents Kit (3) Apply RNAscope HiPlex12 Reagents Kit filter
  • DNAscope Duplex Assay (2) Apply DNAscope Duplex Assay filter
  • RNAscope 2.5 HD Assay (2) Apply RNAscope 2.5 HD Assay filter
  • RNAscope 2.5 LS Assay - RED (2) Apply RNAscope 2.5 LS Assay - RED filter
  • RNAscope Multiplex Fluorescent Assay v2 (2) Apply RNAscope Multiplex Fluorescent Assay v2 filter
  • BOND RNAscope Brown Detection (1) Apply BOND RNAscope Brown Detection filter
  • HybEZ Hybridization System (1) Apply HybEZ Hybridization System filter
  • miRNAscope Assay Red (1) Apply miRNAscope Assay Red filter
  • RNA-Protein CO-Detection Ancillary Kit (1) Apply RNA-Protein CO-Detection Ancillary Kit filter
  • RNAscope 2.0 HD Assay - Chromogenic (1) Apply RNAscope 2.0 HD Assay - Chromogenic filter
  • RNAscope 2.5 HD- Red (1) Apply RNAscope 2.5 HD- Red filter
  • RNAscope 2.5 LS Reagent Kits (1) Apply RNAscope 2.5 LS Reagent Kits filter
  • RNAScope HiPlex assay (1) Apply RNAScope HiPlex assay filter
  • RNAscope HiPlex Image Registration Software (1) Apply RNAscope HiPlex Image Registration Software filter
  • RNAscope LS Multiplex Fluorescent Assay (1) Apply RNAscope LS Multiplex Fluorescent Assay filter
  • RNAscope Multiplex Fluorescent Reagent Kit V3 (1) Apply RNAscope Multiplex Fluorescent Reagent Kit V3 filter
  • RNAscope Multiplex Fluorescent Reagent Kit v4 (1) Apply RNAscope Multiplex Fluorescent Reagent Kit v4 filter
  • RNAscope Multiplex Fluorescent v1 (1) Apply RNAscope Multiplex Fluorescent v1 filter
  • RNAscope Target Retrieval Reagents (1) Apply RNAscope Target Retrieval Reagents filter

Research area

  • Neuroscience (1849) Apply Neuroscience filter
  • Cancer (1385) Apply Cancer filter
  • Development (509) Apply Development filter
  • Inflammation (472) Apply Inflammation filter
  • Infectious Disease (410) Apply Infectious Disease filter
  • Other (406) Apply Other filter
  • Stem Cells (258) Apply Stem Cells filter
  • Covid (237) Apply Covid filter
  • Infectious (220) Apply Infectious filter
  • HPV (187) Apply HPV filter
  • lncRNA (135) Apply lncRNA filter
  • Metabolism (91) Apply Metabolism filter
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  • Immunotherapy (72) Apply Immunotherapy filter
  • Other: Methods (67) Apply Other: Methods filter
  • HIV (64) Apply HIV filter
  • CGT (62) Apply CGT filter
  • Pain (62) Apply Pain filter
  • diabetes (57) Apply diabetes filter
  • LncRNAs (46) Apply LncRNAs filter
  • Aging (43) Apply Aging filter
  • Other: Heart (40) Apply Other: Heart filter
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  • Obesity (29) Apply Obesity filter
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  • Behavior (27) Apply Behavior filter
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  • Other: Kidney (27) Apply Other: Kidney filter
  • Alzheimer's Disease (26) Apply Alzheimer's Disease filter
  • Bone (24) Apply Bone filter
  • Stress (21) Apply Stress filter
  • Other: Zoological Disease (20) Apply Other: Zoological Disease filter
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  • Other: Endocrinology (16) Apply Other: Endocrinology filter
  • Other: Skin (16) Apply Other: Skin filter
  • Injury (15) Apply Injury filter
  • Anxiety (14) Apply Anxiety filter
  • Memory (14) Apply Memory filter
  • Reproductive Biology (14) Apply Reproductive Biology filter

Product sub type

  • Target Probes (256568) Apply Target Probes filter
  • Control Probe - Automated Leica (409) Apply Control Probe - Automated Leica filter
  • Control Probe - Automated Leica Multiplex (284) Apply Control Probe - Automated Leica Multiplex filter
  • Control Probe - Automated Leica Duplex (168) Apply Control Probe - Automated Leica Duplex filter
  • Control Probe- Manual RNAscope Multiplex (148) Apply Control Probe- Manual RNAscope Multiplex filter
  • Control Probe - Automated Ventana (143) Apply Control Probe - Automated Ventana filter
  • Control Probe - Manual RNAscope Singleplex (142) Apply Control Probe - Manual RNAscope Singleplex filter
  • Control Probe - Manual RNAscope Duplex (137) Apply Control Probe - Manual RNAscope Duplex filter
  • Control Probe (73) Apply Control Probe filter
  • Control Probe - Manual BaseScope Singleplex (51) Apply Control Probe - Manual BaseScope Singleplex filter
  • Control Probe - VS BaseScope Singleplex (41) Apply Control Probe - VS BaseScope Singleplex filter
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  • L-HBsAG (15) Apply L-HBsAG filter
  • Cancer (13) Apply Cancer filter
  • Automated Assay 2.5: Leica System (8) Apply Automated Assay 2.5: Leica System filter
  • Control Probe- Manual BaseScope Duplex (8) Apply Control Probe- Manual BaseScope Duplex filter
  • 1765 (8) Apply 1765 filter
  • 1379 (8) Apply 1379 filter
  • 2184 (8) Apply 2184 filter
  • 38322 (8) Apply 38322 filter
  • Manual Assay 2.5: Pretreatment Reagents (5) Apply Manual Assay 2.5: Pretreatment Reagents filter
  • Controls: Manual Probes (5) Apply Controls: Manual Probes filter
  • Control Probe- Manual RNAscope HiPlex (5) Apply Control Probe- Manual RNAscope HiPlex filter
  • Manual Assay RNAscope Brown (4) Apply Manual Assay RNAscope Brown filter
  • Manual Assay RNAscope Duplex (4) Apply Manual Assay RNAscope Duplex filter
  • Manual Assay RNAscope Multiplex (4) Apply Manual Assay RNAscope Multiplex filter
  • Manual Assay BaseScope Red (4) Apply Manual Assay BaseScope Red filter
  • IA: Other (4) Apply IA: Other filter
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  • Manual Assay miRNAscope Red (4) Apply Manual Assay miRNAscope Red filter
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  • Control Probe - Automated Ventana Duplex (3) Apply Control Probe - Automated Ventana Duplex filter
  • Manual Assay BaseScope Duplex (3) Apply Manual Assay BaseScope Duplex filter
  • Manual Assay RNAscope Red (2) Apply Manual Assay RNAscope Red filter
  • Controls: Control Slides (2) Apply Controls: Control Slides filter
  • Control Probe- Manual BaseScope Singleplex (2) Apply Control Probe- Manual BaseScope Singleplex filter
  • Control Probe - Manual BaseScope™Singleplex (2) Apply Control Probe - Manual BaseScope™Singleplex filter
  • Manual Assay: Accessory Reagent (1) Apply Manual Assay: Accessory Reagent filter
  • Accessory Reagent (1) Apply Accessory Reagent filter
  • Controls: Manual RNAscope Multiplex (1) Apply Controls: Manual RNAscope Multiplex filter
  • IA: HybEZ (1) Apply IA: HybEZ filter
  • Automated Assay BaseScope: LS (1) Apply Automated Assay BaseScope: LS filter
  • Automated Assay BaseScope: VS (1) Apply Automated Assay BaseScope: VS filter
  • Software: RNAscope HiPlex Image Registration (1) Apply Software: RNAscope HiPlex Image Registration filter
  • miRNAscope Automated Assay: Leica System (1) Apply miRNAscope Automated Assay: Leica System filter
  • Automated Assay: VS (1) Apply Automated Assay: VS filter
  • Control Probe - VS BaseScope™Singleplex (1) Apply Control Probe - VS BaseScope™Singleplex filter
  • Controls:2.5VS Probes (1) Apply Controls:2.5VS Probes filter
  • Control Probe - Manual RNAscope Multiplex (1) Apply Control Probe - Manual RNAscope Multiplex filter

Sample Compatibility

  • Cell pellets (49) Apply Cell pellets filter
  • FFPE (41) Apply FFPE filter
  • Fixed frozen tissue (31) Apply Fixed frozen tissue filter
  • TMA (31) Apply TMA filter
  • Adherent cells (26) Apply Adherent cells filter
  • Freshfrozen tissue (18) Apply Freshfrozen tissue filter
  • Fresh frozen tissue (13) Apply Fresh frozen tissue filter
  • Cell Cultures (12) Apply Cell Cultures filter
  • TMA(Tissue Microarray) (9) Apply TMA(Tissue Microarray) filter
  • FFPE,Freshfrozen tissue,Fixed frozen tissue,TMA,Cell pellets,Adherent cells (7) Apply FFPE,Freshfrozen tissue,Fixed frozen tissue,TMA,Cell pellets,Adherent cells filter
  • CTC (4) Apply CTC filter
  • PBMC's (4) Apply PBMC's filter
  • Adherent or Cultured Cells (1) Apply Adherent or Cultured Cells filter
  • Fixed frozen (1) Apply Fixed frozen filter
  • FFPE,TMA (1) Apply FFPE,TMA filter
  • Fixed frozen tissues (for chromogenic assays) (1) Apply Fixed frozen tissues (for chromogenic assays) filter

Category

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Application

  • Cancer (139875) Apply Cancer filter
  • Neuroscience (51010) Apply Neuroscience filter
  • Cancer, Neuroscience (32227) Apply Cancer, Neuroscience filter
  • Non-coding RNA (24365) Apply Non-coding RNA filter
  • Cancer, Inflammation (16436) Apply Cancer, Inflammation filter
  • Cancer, Inflammation, Neuroscience (12591) Apply Cancer, Inflammation, Neuroscience filter
  • Inflammation (9879) Apply Inflammation filter
  • Cancer, Stem Cell (7932) Apply Cancer, Stem Cell filter
  • Cancer, Neuroscience, Stem Cell (7028) Apply Cancer, Neuroscience, Stem Cell filter
  • Cancer, Immunotherapy, Inflammation, Neuroscience, Stem Cell (6854) Apply Cancer, Immunotherapy, Inflammation, Neuroscience, Stem Cell filter
  • Cancer, Inflammation, Neuroscience, Stem Cell (5424) Apply Cancer, Inflammation, Neuroscience, Stem Cell filter
  • Immunotherapy (5368) Apply Immunotherapy filter
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  • Cancer, Immunotherapy, Inflammation (2844) Apply Cancer, Immunotherapy, Inflammation filter
  • Cancer, Immunotherapy, Inflammation, Neuroscience (1878) Apply Cancer, Immunotherapy, Inflammation, Neuroscience filter
  • Cancer, Immunotherapy, Neuroscience (1786) Apply Cancer, Immunotherapy, Neuroscience filter
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Endoplasmic reticulum stress is involved in stress-induced hypothalamic neuronal injury in rats via the PERK-ATF4-CHOP and IRE1-ASK1-JNK pathways.

Front. Cell. Neurosci.

2019 May 03

Yi S, Chen K, Zhang L, Shi W, Zhang Y, Niu S, Jia M, Cong B, Li Y.
PMID: - | DOI: 10.3389/fncel.2019.00190

Objective: As a high-level nerve center that regulates visceral and endocrine activity, the hypothalamus plays an important role in regulating the body’s stress response. Previous studies have shown that stress can cause damage to hypothalamic neurons. The present study aimed to further clarify the mechanism of endoplasmic reticulum stress (ERS) involvement in hypothalamic neuronal injury.

Methods: A 7-day stressed rat model was established with daily restraining for 8 h and forced ice-water swimming for 5 min. The rats were randomly divided into control, stress, stress + GSK2606414 (PERK phosphorylation inhibitor), stress + KIRA6 (IRE1 phosphokinase activity inhibitor), GSK2606414, and KIRA6 groups. The pathological changes of hypothalamic neurons were observed by thionine staining. Expression of ERS proteins GRP78, ATF4, ASK1, JNK, and CHOP in the hypothalamic neurons were observed by immunohistochemical staining. The expression of JNK and CHOP mRNA in the hypothalamic neurons were observed by RNA in situ hybridization (RNA Scope) and the expression of related proteins and mRNA was semiquantitatively analyzed by microscopy-based multicolor tissue cytometry (MMTC).

Results: Thionine staining revealed that stress exposure resulted in edema, a lack of Nissl bodies, and pyknosis in hypothalamic neurons. Immunohistochemistry and RNA Scope showed that stress exposure significantly increased the expression of GRP78, ATF4, ASK1, CHOP, JNK, JNK mRNA, and CHOP mRNA. Treatment with PERK and IRE1 inhibitors attenuated pathological damage and downregulated the expression of ATF4, ASK1, JNK, CHOP, JNK mRNA, and CHOP mRNA.

Conclusion: Stress caused pathological changes in rat hypothalamic neurons. ERS PERK-ATF4-CHOP and IRE1-ASK1-JNK pathways were involved in the injury process.

Interleukin-6 (IL-6) in the central amygdala is bioactive and co-localized with glucagon-like peptide-1 (GLP-1) receptor.

J Neuroendocrinol.

2019 Apr 29

Anesten F, Dalmau Gasull A, Richard JE, Farkas I, Mishra D, Taing L, Zhang FP, Poutanen M, Palsdottir V, Liposits Z, Skibicka KP, Jansson JO.
PMID: 31033078 | DOI: 10.1111/jne.12722

Neuronal circuits involving the central amygdala (CeA) are gaining prominence as important centers for regulation of metabolic functions. As a part of the subcortical food motivation circuitry, CeA is associated with food motivation and hunger. We have previously shown that interleukin-6 (IL-6) can act as a downstream mediator of the metabolic effects of glucagon-like peptide-1 receptor (GLP-1R) stimulation in the brain, but the sites of these effects are largely unknown. We here used the newly generated and validated RedIL6 reporter mouse strain to investigate the presence of IL-6 in the CeA, as well as possible interactions between IL-6 and GLP-1 in this nucleus. IL-6 was present in the CeA, mostly in cells in the medial and lateral parts of this structure, and a majority of IL-6-containing cells also co-expressed GLP-1R. Triple staining showed GLP-1 containing fibers co-staining with synaptophysin close to or overlapping with IL-6 containing cells. GLP-1R stimulation enhanced IL-6 mRNA levels. IL-6 receptor-alpha was found to a large part in neuronal CeA cells. Using electrophysiology, we determined that cells with neuronal properties in the CeA could be rapidly stimulated by IL-6 administration in vitro. Moreover, microinjections of IL-6 into the CeA could slightly reduce food intake in vivo in overnight fasted rats. In conclusion, IL-6 containing cells in the CeA express GLP-1R, are close to GLP-1-containing synapses, and get increased IL-6 mRNA in response to GLP-1R agonist treatment. IL-6, in turn, exerts biological effects in the CeA, possibly via IL-6 receptor-alpha present in this nucleus.

CD32-RNA Co-localizes with HIV-RNA in CD3+ Cells Found within Gut Tissues from Viremic and ART-Suppressed Individuals

Pathogens and Immunity

2019 May 03

Vasquez JJ, Aguilar-Rodriguez BL, Rodriguez L, Hogan LE, Somsouk M, McCune JM, Deeks SG, Laszik ZG, Hunt PW, Henrich TJ.
PMID: - | DOI: 10.20411/pai.v4i1.271

Abstract

Background: Identifying biomarkers for cells harboring replication-competent HIV is a major research priority. Recently, there have been mixed reports addressing the possibility that CD32-expressing T-cells are enriched for HIV. There is growing evidence that CD32 expression increases with cellular activation that may be related to, but not necessarily specific for, infection with HIV.  However, the relationship of CD32 expression to HIV-infection in subtypes of tissue-resident leukocytes is unclear. 

 Methods: First, we used duplex chromogenic in situ hybridization to identify cells actively transcribing RNA for both CD32 and HIV on human gut tissues. Then we performed multiplexed immunofluorescence and in situ hybridization (mIFISH) on sections from the same tissues to determine the phenotype of individual cells co-expressing HIV-RNA and CD32-RNA. 

 Results: HIV-RNA+ cells were more abundant in tissues from viremic individuals compared to those on suppressive anti-retroviral therapy (ART). However, staining by both methods indicated that a higher proportion of HIV-RNA+ cells co-expressed CD32-RNA in ART-suppressed compared to viremic individuals. The majority of HIV-RNA+ cells were CD3+.

Conclusions: Our data suggest that the transcription of CD32-RNA is correlated with HIV transcriptional activity in CD3+ cells found within human gut tissue. Whether or not up-regulation of CD32-RNA is a direct result of HIV reactivation or more global T cell activation remains unclear.

α-MSH increases the activity of MC3R-expressing neurons in the ventral tegmental area.

J Physiol.

2019 May 04

West KS, Lu C, Olson DP, Roseberry AG.
PMID: 31054267 | DOI: 10.1113/JP277193

Abstract

KEY POINTS:

Alpha-melanocyte stimulating hormone (α-MSH) is an anorexigenic peptide, and injection of the α-MSH analog MTII into the ventral tegmental area (VTA) decreases food and sucrose intake and food reward. Melanocortin-3 receptors (MC3R) are highly expressed in the VTA, suggesting that the effects of intra-VTA α-MSH may be mediated by α-MSH changing the activity of MC3R-expressing VTA neurons. α-MSH increased the firing rate of MC3R VTA neurons in acute brain slices from mice, but did not affect the firing rate of non-MC3R VTA neurons. The α-MSH induced increase in MC3R neuron firing rate is likely activity dependent, and was independent of fast synaptic transmission and intracellular Ca2+ levels. These results help us to better understand how α-MSH acts in the VTA to affect feeding and other dopamine dependent behaviors.

ABSTRACT:

The mesocorticolimbic dopamine system, the brain's reward system, regulates multiple behaviors including food intake and food reward. There is substantial evidence that the melanocortin system of the hypothalamus, an important neural circuit controlling feeding and body weight, interacts with the mesocorticolimbic dopamine system to affect feeding, food reward, and body weight. For example, melanocortin-3 receptors (MC3Rs) are expressed in the ventral tegmental area (VTA), and our lab previously showed that intra-VTA injection of the MC3R agonist, MTII, decreases home-cage food intake and operant responding for sucrose pellets. The cellular mechanisms underlying the effects of intra-VTA α-MSH on feeding and food reward are unknown, however. To determine how α-MSH acts in the VTA to affect feeding, we performed electrophysiological recordings in acute brain slices from mice expressing EYFP in MC3R neurons to test how α-MSH affects the activity of VTA MC3R neurons. α-MSH significantly increased the firing rate of VTA MC3R neurons without altering the activity of non-MC3R expressing VTA neurons. In addition, the α-MSH-induced increase in MC3R neuron activity was independent of fast synaptic transmission and intracellular Ca2+ levels. Finally, we show that the effect of α-MSH on MC3R neuron firing rate is likely activity dependent. Overall, these studies provide an important advancement in the understanding of how α-MSH acts in the VTA to affect feeding and food reward. 

Single-cell transcriptomic analysis of Alzheimer's disease.

Nature

2019 May 01

Mathys H, Davila-Velderrain J, Peng Z, Gao F, Mohammadi S, Young JZ, Menon M, He L, Abdurrob F, Jiang X, Martorell AJ, Ransohoff RM, Hafler BP, Bennett DA, Kellis M, Tsai LH.
PMID: 31042697 | DOI: 10.1038/s41586-019-1195-2

Alzheimer's disease (AD) is a pervasive neurodegenerative disorder, the molecular and cellular complexity of which remains poorly understood. Here, we profiled and analysed 80,660 single-nucleus transcriptomes from prefrontal cortex of 48 individuals with varying degrees of AD pathology. We identified transcriptionally-distinct subpopulations across six major brain cell-types, including those associated with pathology and characterized by regulators of myelination, inflammation, and neuron survival. The strongest AD-associated changes appeared early in pathological progression and were highly cell-type-specific, whereas genes upregulated in late-stage were common across cell types and primarily involved in global stress response. Surprisingly, we found an overrepresentation of female cells in AD-associated subpopulations, and substantially different transcriptional responses between sexes in multiple cell types, including oligodendrocytes. Overall, myelination-related processes were recurrently perturbed in multiple cell types, suggesting a key role in AD pathophysiology. Our single-celltranscriptomic resource provides a first blueprint for interrogating the molecular underpinnings and cellular basis of AD.

Mapping the populations of neurotensin neurons in the male mouse brain.

Neuropeptides

2019 May 06

Schroeder LE, Furdock R, Quiles CR, Kurt G, Perez-Bonilla P, Garcia A, Colon-Ortiz C, Brown J, Bugescu R, Leinninger GM.
PMID: - | DOI: 10.1016/j.npep.2019.05.001

Abstract

Neurotensin (Nts) is a neuropeptide implicated in the regulation of many facets of physiology, including cardiovascular tone, pain processing, ingestive behaviors, locomotor drive, sleep, addiction and social behaviors. Yet, there is incomplete understanding about how the various populations of Nts neurons distributed throughout the brain mediate such physiology. This knowledge gap largely stemmed from the inability to simultaneously identify Nts cell bodies and manipulate them in vivo. One means of overcoming this obstacle is to study NtsCremice crossed onto a Cre-inducible green fluorescent reporter line (NtsCre;GFP mice), as these mice permit both visualization and in vivo modulation of specific populations of Nts neurons (using Cre-inducible viral and genetic tools) to reveal their function. Here we provide a comprehensive characterization of the distribution and relative densities of the Nts-GFP populations observed throughout the male NtsCre;GFP mouse brain, which will pave the way for future work to define their physiologic roles. We also compared the distribution of Nts-GFP neurons with Nts-In situ Hybridization (Nts-ISH) data from the adult mouse brain. By comparing these data sets we can distinguish Nts-GFP populations that may only transiently express Nts during development but not in the mature brain, and hence which populations may not be amenable to Cre-mediated manipulation in adult NtsCre;GFPmice. This atlas of Nts-GFP neurons will facilitate future studies using the NtsCre;GFP line to describe the physiological functions of individual Nts populations and how modulating them may be useful to treat disease.

Intravenous immunoglobulin (IVIg) or IVIg-treated macrophages reduce DSS-induced colitis by inducing macrophage IL-10 production.

Eur J Immunol.

2019 May 04

Kozicky LK, Menzies SC, Hotte N, Madsen KL, Sly LM.
PMID: 31054259 | DOI: 10.1002/eji.201848014

Intravenous immunoglobulin (IVIg) is used to treat immune-mediated diseases but its mechanism of action is poorly understood. We have reported that co-treatment with IVIg and lipopolysaccharide activates macrophages to produce large amounts of anti-inflammatory IL-10 in vitro. Thus, we asked whether IVIg-treated macrophages or IVIg could reduce intestinal inflammation in mice during dextran sulfate sodium (DSS)-induced colitis by inducing macrophage IL-10 production in vivo. Adoptive transfer of IVIg-treated macrophages reduces intestinal inflammation in mice and collagen accumulation post-DSS. IVIg treatment also reduces DSS-induced intestinal inflammation and its activity is dependent on the Fc portion of the antibody. Ex vivo, IVIg induces IL-10 production and reduces IL-12/23p40 and IL-1β production in colon explant cultures. Co-staining tissues for mRNA, we demonstrate that macrophages are the source of IL-10 in IVIg-treated mice; and using IL-10-GFP reporter mice, we demonstrate that IVIg induces IL-10 production by intestinal macrophages. Finally, IVIg-mediated protection is lost in mice deficient in macrophage IL-10 production (LysMcre+/- IL-10fl/fl mice). Together, our data demonstrate a novel, in vivo mechanism of action for IVIg. IVIg-treated macrophages or IVIg could be used to treat people with intestinal inflammation and may be particularly useful for people with inflammatory bowel disease, who are refractory to therapy.

Zika virus causes acute infection and inflammation in the ovary of mice without apparent defects in fertility.

J Infect Dis.

2019 May 07

Caine EA, Scheaffer SM, Broughton DE, Salazar V, Govero J, Poddar S, Osula A, Halabi J, Skaznik-Wikiel ME, Diamond MS, Moley KH.
PMID: 31063544 | DOI: 10.1093/infdis/jiz239

Zika virus (ZIKV) has become a global concern because infection of pregnant mothers was linked to congenital birth defects. ZIKV is unique from other flaviviruses, as it is transmitted vertically and sexually in addition to by mosquito vectors. Prior studies in mice, non-human primates, and humans have shown that ZIKV targets the testis in males, resulting in persistent infection and oligospermia. However, its effects on the corresponding female gonads have not been evaluated. Here, we assessed the effects of ZIKV on the ovary in non-pregnant mice. During the acute phase, ZIKV productively infected the ovary causing accumulation of CD4+ and virus-specific CD8+ T cells. T cells protected against ZIKV infection in the ovary, as higher viral burden was measured in CD8-/- and TCRβδ-/- mice. Increased cell death and tissue inflammation in the ovary was observed during the acute phase of infection, but this normalized over time. In contrast to that observed with males, minimal persistence and no long-term consequences of ZIKV infection on ovarian follicular reserve or fertility were demonstrated in this model. Thus, although ZIKV replicates in cells of the ovary and causes acute oophoritis, there is rapid resolution and no long-term effects on fertility, at least in mice.

Sex-associated TSLP-induced immune alterations following early-life RSV infection leads to enhanced allergic disease.

Mucosal Immunol.

2019 May 11

Malinczak CA, Fonseca W, Rasky AJ, Ptaschinski C, Morris S, Ziegler SF, Lukacs NW.
PMID: 31076663 | DOI: 10.1038/s41385-019-0171-3

Many studies have linked severe RSV infection during early-life with an enhanced likelihood of developing childhood asthma, showing a greater susceptibility in boys. Our studies show that early-life RSV infection leads to differential long-term effects based upon the sex of the neonate; leaving male mice prone to exacerbation upon secondary allergen exposure while overall protecting female mice. During initial viral infection, we observed better viral control in the female mice with correlative expression of interferon-β that was not observed in male mice. Additionally, we observed persistent immune alterations in male mice at 4 weeks post infection. These alterations include Th2 and Th17-skewing, innate cytokine expression (Tslp and Il33), and infiltration of innate immune cells (DC and ILC2). Upon exposure to allergen, beginning at 4 weeks following early-life RSV-infection, male mice show severe allergic exacerbation while female mice appear to be protected. Due to persistent expression of TSLP following early-life RSV infection in male mice, genetically modified TSLPR-/- mice were evaluated and demonstrated an abrogation of allergen exacerbation in male mice. These data indicate that TSLP is involved in the altered immune environment following neonatal RSV-infection that leads to more severe responses in males during allergy exposure, later in life. Thus, TSLP may be a clinically relevant therapeutic target early in life.

SREBP1 drives Keratin-80-dependent cytoskeletal changes and invasive behavior in endocrine-resistant ERα breast cancer.

Nat Commun.

2019 May 09

Perone Y, Farrugia AJ, Meira AR, Győrffy B, Ion C, Uggetti A, Chronopoulos A, Marrazzo P, Faronato M, Shousha S, Davies C, Steel JH, Patel N, Del Rio Hernandez A, Coombes C, Pruneri G, Lim A, Calvo F, Magnani L.
PMID: 31073170 | DOI: 10.1038/s41467-019-09676-y

Approximately 30% of ERα breast cancer patients relapse with metastatic disease following adjuvant endocrine therapies. The connection between acquisition of drug resistance and invasive potential is poorly understood. In this study, we demonstrate that the type II keratin topological associating domain undergoes epigenetic reprogramming in aromatase inhibitors (AI)-resistant cells, leading to Keratin-80 (KRT80) upregulation. KRT80 expression is driven by de novo enhancer activation by sterol regulatory element-binding protein 1 (SREBP1). KRT80 upregulation directly promotes cytoskeletal rearrangements at the leading edge, increased focal adhesion and cellular stiffening, collectively promoting cancer cell invasion. Shearwave elasticity imaging performed on prospectively recruited patients confirms KRT80 levels correlate with stiffer tumors. Immunohistochemistry showed increased KRT80-positive cells at relapse and, using several clinical endpoints, KRT80 expression associates with poor survival. Collectively, our data uncover an unpredicted and potentially targetable direct link between epigenetic and cytoskeletal reprogramming promoting cell invasion in response to chronic AI treatment.

Development of resistance to FAK inhibition in pancreatic cancer is linked to stromal depletion.

Gut

2019 May 10

Jiang H, Liu X, Knolhoff BL, Hegde S, Lee KB, Jiang H, Fields RC, Pachter JA, Lim KH, DeNardo DG.
PMID: 31076405 | DOI: 10.1136/gutjnl-2018-317424

Abstract

OBJECTIVE:

We investigated how pancreatic cancer developed resistance to focal adhesion kinase (FAK) inhibition over time.

DESIGN:

Pancreatic ductal adenocarcinoma (PDAC) tumours from KPC mice (p48-CRE; LSL-KRasG12D/wt; p53flox/wt) treated with FAK inhibitor were analysed for the activation of a compensatory survival pathway in resistant tumours. We identified pathways involved in the regulation of signal transducer and activator of transcription 3 (STAT3) signalling on FAK inhibition by gene set enrichment analysis and verified these outcomes by RNA interference studies. We also tested combinatorial approaches targeting FAK and STAT3 in syngeneic transplantable mouse models of PDAC and KPC mice.

RESULTS:

In KPC mice, the expression levels of phosphorylated STAT3 (pSTAT3) were increased in PDAC cells as they progressed on FAK inhibitor therapy. This progression corresponded to decreased collagen density, lowered numbers of SMA+ fibroblasts and downregulation of the transforming growth factor beta (TGF-β)/SMAD signalling pathway in FAK inhibitor-treated PDAC tumours. Furthermore, TGF-β production by fibroblasts in vitro drives repression of STAT3 signalling and enhanced responsiveness to FAK inhibitor therapy. Knockdown of SMAD3 in pancreatic cancer cells abolished the inhibitory effects of TGF-β on pSTAT3. We further found that tumour-intrinsic STAT3 regulates the durability of the antiproliferative activity of FAK inhibitor, and combinatorial targeting of FAK and Janus kinase/STAT3 act synergistically to suppress pancreatic cancer progression in mouse models.

CONCLUSION:

Stromal depletion by FAK inhibitor therapy leads to eventual treatment resistance through the activation of STAT3 signalling. These data suggest that, similar to tumour-targeted therapies, resistance mechanisms to therapies targeting stromal desmoplasia may be critical to treatment durability.

Disordered breathing in a mouse model of Dravet syndrome.

Elife

2019 Apr 26

Kuo FS, Cleary CM, LoTurco JJ, Chen X, Mulkey DK.
PMID: 31025941 | DOI: 10.7554/eLife.43387

Dravet syndrome (DS) is a form of epilepsy with a high incidence of sudden unexpected death in epilepsy (SUDEP). Respiratory failure is a leading cause of SUDEP, and DS patients' frequently exhibit disordered breathing. Despite this, mechanisms underlying respiratory dysfunction in DS are unknown. We found that mice expressing a DS-associated Scn1a missense mutation (A1783V) conditionally in inhibitory neurons (Slc32a1cre/+::Scn1aA1783V fl/+; defined as Scn1aΔE26) exhibit spontaneous seizures, die prematurely and present a respiratory phenotype including hypoventilation, apnea, and a diminished ventilatory response to CO2. At the cellular level in the retrotrapezoid nucleus (RTN), we found inhibitory neurons expressing the Scn1a A1783V variant are less excitable, whereas glutamatergic chemosensitive RTN neurons, which are a key source of the CO2/H+-dependent drive to breathe, are hyper-excitable in slices from Scn1aΔE26 mice. These results show loss of Scn1a function can disrupt respiratory control at the cellular and whole animal levels.

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Description
sense
Example: Hs-LAG3-sense
Standard probes for RNA detection are in antisense. Sense probe is reverse complent to the corresponding antisense probe.
Intron#
Example: Mm-Htt-intron2
Probe targets the indicated intron in the target gene, commonly used for pre-mRNA detection
Pool/Pan
Example: Hs-CD3-pool (Hs-CD3D, Hs-CD3E, Hs-CD3G)
A mixture of multiple probe sets targeting multiple genes or transcripts
No-XSp
Example: Hs-PDGFB-No-XMm
Does not cross detect with the species (Sp)
XSp
Example: Rn-Pde9a-XMm
designed to cross detect with the species (Sp)
O#
Example: Mm-Islr-O1
Alternative design targeting different regions of the same transcript or isoforms
CDS
Example: Hs-SLC31A-CDS
Probe targets the protein-coding sequence only
EnEmProbe targets exons n and m
En-EmProbe targets region from exon n to exon m
Retired Nomenclature
tvn
Example: Hs-LEPR-tv1
Designed to target transcript variant n
ORF
Example: Hs-ACVRL1-ORF
Probe targets open reading frame
UTR
Example: Hs-HTT-UTR-C3
Probe targets the untranslated region (non-protein-coding region) only
5UTR
Example: Hs-GNRHR-5UTR
Probe targets the 5' untranslated region only
3UTR
Example: Rn-Npy1r-3UTR
Probe targets the 3' untranslated region only
Pan
Example: Pool
A mixture of multiple probe sets targeting multiple genes or transcripts

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