Contact Us / Request a Quote Download Manuals
Advanced Cell Diagnostics Advanced Cell Diagnostics

Search form

Please sign in
  • Log In
  • Register
  • How to Order
  • What to Buy
0 My Cart
X

You have no items in your shopping cart.

Menu
X
  • Products +
    RNAscope™/BaseScope™/ miRNAscope™
    +
    • Assay Selection Guide
    Target Probes
    +
    • All About Probes
    • Catalog Probes
    • Probe Sets
    • New Probe Request
    Manual Assays
    +
    RNAscope™ Chromogenic
    • Overview
    • RNAscope™ 2.5 HD Assay-Brown
    • RNAscope™ 2.5 HD Assay-Red
    • RNAscope™ 2.5 HD Duplex Assay
    RNAscope™ Multiplex Fluorescent
    • Overview
    • RNAscope™ HiPlex v2 Assay
    • RNAscope™ Multiplex Fluorescent V2
    BaseScope™
    • Overview
    • BaseScope™ Assay Red
    • BaseScope™ Duplex Assay
    miRNAscope™
    • Overview
    • miRNAscope™ Assay red
    • RNAscope™ Plus smRNA-RNA Assay
    DNAscope™
    • Overview
    • DNAscope™ Duplex Assay
    Automated Assays
    +
    For Lunaphore COMET™
    • RNAscope™ HiPlex Pro for COMET™
    For Leica systems
    • Overview
    • RNAscope™ 2.5 LS Assay-Brown
    • RNAscope™ 2.5 LS Assay-Red
    • RNAscope™ 2.5 LS Duplex Assay
    • RNAscope™ Multiomic LS Assay
    • RNAscope™ 2.5 LS Fluorescent Multiplex Assay
    • RNAscope™ 2.5 LSx Reagent Kit-BROWN
    • RNAscope™ 2.5 LSx Reagent Kit-RED
    • BaseScope™ LS Reagent Kit – RED
    • miRNAscope LS Reagent Kit Red
    • RNAscope™ Plus smRNA-RNA LS Assay
    Roche DISCOVERY ULTRA system
    • Overview
    • RNAscope™ VS Universal HRP
    • RNAscope™ VS Universal AP
    • RNAscope™ VS Duplex Assay
    • BaseScope™ VS Reagent Kit – RED
    RNA-Protein Co-Detection Assay
    +
    • RNAscope HiPlex-IMC™ Co-Detection
    • Integrated Codetection Assay
    • Sequential RNA Protein Detection
    Software
    +
    • Overview
    • Aperio RNA ISH Algorithm
    • HALO® image analysis platform
    Controls & Accessories
    +
    • RNAscope™
    • BaseScope™
    • miRNAscope™
    • Accessories
    How to Order
    +
    • Ordering Instructions
    • What to Buy
  • Services +
    Professional Assay Services
    +
    • Our Services
    • Multiomic Services
    • Biomarker Assay Development
    • Cell & Gene Therapy Services
    • Clinical Assay Development
    • Tissue Bank & Sample Procurement
    • Image Analysis
    Benefits
    +
    • Your Benefits
    • Certified Providers
    How to Order
    +
    • Ordering Process
    • Contact Services
  • Areas of Research +
    Most Popular
    +
    • COVID-19 Coronavirus
    • Single Cell Analysis
    • Whole-Mount
    • Anatomic Pathology Panels
    • Neuroscience
    • Inflammation
    • Gene Therapy/AAV
    • Stem Cell
    • Immuno-oncology
    • Liver Research
    • Cardiovascular & Skeletal Muscle Research
    Cell & Gene Therapy
    +
    • Gene Therapy
    • Gene Therapy/AAV
    • siRNA/ASO
    • Cell Therapy
    Cancer
    +
    • Breast Cancer
    • EGFRvIII Splice Variant
    • HPV Related Cancer
    • Immuno-oncology
    • Lung Cancer
    • PDx
    • Prostate Cancer
    • Point Mutation
    • CDR3 for TCR
    Viral
    +
    • COVID-19 Coronavirus
    • HIV & SIV
    • Infectious Disease
    • Zika Virus
    Pathways
    +
    • AKT
    • JAK STAT
    • WNT B-Catenin
    Neuroscience
    +
    Neuroscience
    • Neural Development
    • Neuronal Cell Types
    • Learning and Memory
    • G-protein-coupled Receptors & Ion Channels
    • Post-mortem Brain Tissue
    Other
    +
    • Circular RNA
    • Gene Fusions
    • HT Transcript Validation
    • Long Non-coding RNA
    • RNAseq Validation
    • Single Cell Analysis
    • Splice Variant
    • miRNA
    RNA & Protein
    +
    • Antibody Challenges
    • Dual ISH + IHC Methods
    • No Antibodies
    • RNA & Protein Analysis
    Customer Innovations
    +
    • Dual RNA+DNA ISH
    • Very old FFPE ISH
    • Wholemount ISH
    Animal Models
    +
    • Any Species
    • Mouse Model
    • Preclincal Safety
  • Technology +
    Overview
    +
    • How it Works
    • Data Image Gallery
    • Technology Video
    • Webinars
    RNA Detection
    +
    • Why RNA?
    • RNA ISH and IHC
    Pretreatment Options
    +
    • RNAscope™ Pretreatment
    • PretreatPro™
    Spotlights
    +
    • Researchers Spotlights
    • RNA & DNA
    • WISH
    • FFPE
    • Testimonials
    Publications, Guides & Posters
    +
    • Search publications
    • RNAscope™ Reference Guide
    • RNAscope™ Data Analysis Guide
    • Download RNAscope™ Posters
  • Support +
    Overview
    +
    • Get Started
    • How to Order
    • Distributors
    • Contact Support
    Troubleshooting
    +
    • Troubleshooting Guide
    • FAQs
    • User Manuals, SDS and Product Inserts
    • Documents and Downloads
    Imaging Resource
    +
    • Image Analysis
    • Image Registration Software
    • QuPath
    • HALO® image analysis platform
    Learn More
    +
    • Webinars
    • Training Videos
  • Partners +
    Partners
    +
    • Overview
    Partners Directory
    +
    Automation Partners
    • Leica Biosystem
    • Roche Diagnostics
    Workflow Partners
    • NanoString
    Software Partners
    • indica labs
    Become a Partner
    +
    • Learn How
  • Diagnostics +
    Diagnostics
    +
    • Diagnostics
    • Literature
    • Diagnostics ASR Probes
    • Diagnostics CE-IVD Probes
    • Diagnostics CE-IVD Detection
    • Companion Diagnostics
  • Image Calendar +
    Image Calendar
    +
    • Image Contest
    • Data Image Gallery
Search

Probes for INS

ACD can configure probes for the various manual and automated assays for INS for RNAscope Assay, or for Basescope Assay compatible for your species of interest.

Your search for "INS" returned results. Search for our Top genes LGR5, vglut2, gad67, brca1

    Refine Probe List

    Content for comparison

    Gene

    • TBD (1413) Apply TBD filter
    • Lgr5 (151) Apply Lgr5 filter
    • SARS-CoV-2 (136) Apply SARS-CoV-2 filter
    • Gad1 (90) Apply Gad1 filter
    • vGlut2 (80) Apply vGlut2 filter
    • HPV E6/E7 (78) Apply HPV E6/E7 filter
    • Slc17a6 (77) Apply Slc17a6 filter
    • Axin2 (74) Apply Axin2 filter
    • (-) Remove SLC32A1 filter SLC32A1 (74)
    • FOS (73) Apply FOS filter
    • Sst (65) Apply Sst filter
    • TH (63) Apply TH filter
    • VGAT (58) Apply VGAT filter
    • Gad2 (54) Apply Gad2 filter
    • tdTomato (54) Apply tdTomato filter
    • DRD2 (53) Apply DRD2 filter
    • Slc17a7 (52) Apply Slc17a7 filter
    • GLI1 (51) Apply GLI1 filter
    • PVALB (47) Apply PVALB filter
    • egfp (46) Apply egfp filter
    • ZIKV (46) Apply ZIKV filter
    • DRD1 (42) Apply DRD1 filter
    • GFAP (39) Apply GFAP filter
    • COL1A1 (38) Apply COL1A1 filter
    • Crh (37) Apply Crh filter
    • Chat (37) Apply Chat filter
    • V-nCoV2019-S (37) Apply V-nCoV2019-S filter
    • Pomc (34) Apply Pomc filter
    • PDGFRA (33) Apply PDGFRA filter
    • Il-6 (33) Apply Il-6 filter
    • Cre (33) Apply Cre filter
    • AGRP (32) Apply AGRP filter
    • PECAM1 (32) Apply PECAM1 filter
    • Npy (32) Apply Npy filter
    • Wnt5a (31) Apply Wnt5a filter
    • CXCL10 (31) Apply CXCL10 filter
    • GLP1R (31) Apply GLP1R filter
    • Sox9 (29) Apply Sox9 filter
    • CD68 (28) Apply CD68 filter
    • Penk (28) Apply Penk filter
    • PD-L1 (28) Apply PD-L1 filter
    • ACTA2 (27) Apply ACTA2 filter
    • SHH (27) Apply SHH filter
    • VGluT1 (27) Apply VGluT1 filter
    • OLFM4 (26) Apply OLFM4 filter
    • GFP (26) Apply GFP filter
    • Rbfox3 (25) Apply Rbfox3 filter
    • MALAT1 (24) Apply MALAT1 filter
    • SOX2 (24) Apply SOX2 filter
    • Ccl2 (24) Apply Ccl2 filter

    Product

    • RNAscope Fluorescent Multiplex Assay (29) Apply RNAscope Fluorescent Multiplex Assay filter
    • RNAscope Multiplex Fluorescent Assay (28) Apply RNAscope Multiplex Fluorescent Assay filter
    • RNAscope (9) Apply RNAscope filter
    • RNAscope 2.0 Assay (7) Apply RNAscope 2.0 Assay filter
    • RNAscope 2.5 HD Red assay (5) Apply RNAscope 2.5 HD Red assay filter
    • RNAscope 2.5 HD Duplex (3) Apply RNAscope 2.5 HD Duplex filter
    • RNAscope Multiplex Fluorescent v2 (3) Apply RNAscope Multiplex Fluorescent v2 filter
    • RNAscope 2.5 HD Brown Assay (1) Apply RNAscope 2.5 HD Brown Assay filter
    • RNAscope 2.5 LS Assay (1) Apply RNAscope 2.5 LS Assay filter
    • RNAscope Fluorescent Multiplex Reagent kit (1) Apply RNAscope Fluorescent Multiplex Reagent kit filter
    • RNAscope HiPlex v2 assay (1) Apply RNAscope HiPlex v2 assay filter

    Research area

    • Neuroscience (70) Apply Neuroscience filter
    • Cancer (7) Apply Cancer filter
    • Infectious Disease (4) Apply Infectious Disease filter
    • Inflammation (4) Apply Inflammation filter
    • Metabolism (4) Apply Metabolism filter
    • Behavior (3) Apply Behavior filter
    • behavioral (3) Apply behavioral filter
    • Development (3) Apply Development filter
    • Stem Cells (3) Apply Stem Cells filter
    • Addiction (2) Apply Addiction filter
    • Anxiety (2) Apply Anxiety filter
    • Nueroscience (2) Apply Nueroscience filter
    • Other (2) Apply Other filter
    • Sleep (2) Apply Sleep filter
    • Alzheimer's Disease (1) Apply Alzheimer's Disease filter
    • Cardiovascular Disease (1) Apply Cardiovascular Disease filter
    • CGT (1) Apply CGT filter
    • Chronic gastritis (1) Apply Chronic gastritis filter
    • Covid (1) Apply Covid filter
    • diabetes (1) Apply diabetes filter
    • Eating (1) Apply Eating filter
    • emotional valence (1) Apply emotional valence filter
    • Endocrinology (1) Apply Endocrinology filter
    • Fear (1) Apply Fear filter
    • Immunotherapy (1) Apply Immunotherapy filter
    • Long-Covid (1) Apply Long-Covid filter
    • Nonalcoholic Fatty Liver Disease (1) Apply Nonalcoholic Fatty Liver Disease filter
    • Obesity (1) Apply Obesity filter
    • other: Aging (1) Apply other: Aging filter
    • Other: Liver (1) Apply Other: Liver filter
    • Other: Metabolism (1) Apply Other: Metabolism filter
    • Other: Zoological Disease (1) Apply Other: Zoological Disease filter
    • Pain (1) Apply Pain filter
    • Paralysis (1) Apply Paralysis filter
    • PTSD (1) Apply PTSD filter
    • rabbit hemorrhagic disease virus 2 (1) Apply rabbit hemorrhagic disease virus 2 filter
    • Rabbit Virus (1) Apply Rabbit Virus filter
    • Reward (1) Apply Reward filter
    • Sex Differences (1) Apply Sex Differences filter
    • Signalling (1) Apply Signalling filter
    • Spinal Cord injury (1) Apply Spinal Cord injury filter
    • Stress (1) Apply Stress filter
    • Trauma (1) Apply Trauma filter

    Category

    • Publications (97) Apply Publications filter
    Control of non-REM sleep by ventrolateral medulla glutamatergic neurons projecting to the preoptic area

    Nature communications

    2022 Aug 12

    Teng, S;Zhen, F;Wang, L;Schalchli, JC;Simko, J;Chen, X;Jin, H;Makinson, CD;Peng, Y;
    PMID: 35961989 | DOI: 10.1038/s41467-022-32461-3

    Understanding the neural mechanisms underlying sleep state transitions is a fundamental goal of neurobiology and important for the development of new treatments for insomnia and other sleep disorders. Yet, brain circuits controlling this process remain poorly understood. Here we identify a population of sleep-active glutamatergic neurons in the ventrolateral medulla (VLM) that project to the preoptic area (POA), a prominent sleep-promoting region, in mice. Microendoscopic calcium imaging demonstrate that these VLM glutamatergic neurons display increased activity during the transitions from wakefulness to Non-Rapid Eye Movement (NREM) sleep. Chemogenetic silencing of POA-projecting VLM neurons suppresses NREM sleep, whereas chemogenetic activation of these neurons promotes NREM sleep. Moreover, we show that optogenetic activation of VLM glutamatergic neurons or their projections in the POA initiates NREM sleep in awake mice. Together, our findings uncover an excitatory brainstem-hypothalamic circuit that controls the wake-sleep transitions.
    TNF-α-producing macrophages determine subtype identity and prognosis via AP1 enhancer reprogramming in pancreatic cancer

    Nature Cancer

    2021 Nov 01

    Tu, M;Klein, L;Espinet, E;Georgomanolis, T;Wegwitz, F;Li, X;Urbach, L;Danieli-Mackay, A;Küffer, S;Bojarczuk, K;Mizi, A;Günesdogan, U;Chapuy, B;Gu, Z;Neesse, A;Kishore, U;Ströbel, P;Hessmann, E;Hahn, S;Trumpp, A;Papantonis, A;Ellenrieder, V;Singh, S;
    | DOI: 10.1038/s43018-021-00258-w

    A,B, Expression correlation analysis in 78 PDAC patient tumors12 [/articles/s43018-021-00258-w#ref-CR12] (E-MTAB-6134 [http://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-6134/]) with high tumor cellularity between cJUN and VIM (A) as well as GATA6 and VIM (B). RMA-normalized probe intensity values were plotted. A linear regression with 95% CI is shown in orange. Pearson’s correlation (_R_) and corresponding two-tailed _P_ value are indicated. C, Representative bright-field images of GCDX62 cells transduced with empty vector (EV) or cJUN overexpression (cJUN-OE) constructs. Morphology was monitored over several passages. D-F, RNA-seq analysis was performed on GCDX62 cells transduced with EV or cJUN-OE. n = 3 independent cultures. D, PCA plot. E,F, Enrichment plots for gene set enrichment analysis between cJUN-OE and EV samples for ‘classical’ and ‘quasi-mesenchymal’ PDAC13 [/articles/s43018-021-00258-w#ref-CR13] (E), as well as the top genes up- and downregulated following TNFα treatment in CLA (CAPAN1) cells (F). G, WB for indicated targets in CAPAN1 cells transduced with EV or cJUN-OE. Representative of n = 3 independent experiments. H, Representative bright-field images of CAPAN1 cells transduced with EV or cJUN-OE. Morphology was monitored over several passages. C,H, Scale bar: 200 µm. I,J, Trans-well invasion assay of CAPAN1 cells transduced with EV or cJUN-OE, showing representative DAPI staining of invaded cells (I) as well as quantification thereof (J). I, Scale bar: 100 µm. J, Data given as average counts per F.o.V., with means ± s.d. Unpaired, two-tailed Student’s t-test. n = 3 independent experiments. K-M, Mean cell viability ± s.d. at different concentrations of gemcitabine (K), oxaliplatin (L) and SN38 (M) in CAPAN1 cells transduced with EV or cJUN-OE. IC50 values for each drug are indicated. n = 3 independent experiments.
    Two FOXP3+CD4+ T cell subpopulations distinctly control the prognosis of colorectal cancers

    Nat Med.

    2016 May 25

    Saito T, Nishikawa H, Wada H, Nagano Y, Sugiyama D, Atarashi K, Maeda Y, Hamaguchi M, Ohkura N, Sato E, Nagase H, Nishimura J, Yamamoto H, Takiguchi S, Tanoue T, Suda W, Morita H, Hattori M, Honda K, Mori M, Doki Y, Sakaguchi S.
    PMID: 27111280 | DOI: 10.1038/nm.4086

    CD4+ T cells that express the forkhead box P3 (FOXP3) transcription factor function as regulatory T (Treg) cells and hinder effective immune responses against cancer cells. Abundant Treg cell infiltration into tumors is associated with poor clinical outcomes in various types of cancers. However, the role of Treg cells is controversial in colorectal cancers (CRCs), in which FOXP3+ T cell infiltration indicated better prognosis in some studies. Here we show that CRCs, which are commonly infiltrated by suppression-competent FOXP3hi Treg cells, can be classified into two types by the degree of additional infiltration of FOXP3lo nonsuppressive T cells. The latter, which are distinguished from FOXP3+ Treg cells by non-expression of the naive T cell marker CD45RA and instability of FOXP3, secreted inflammatory cytokines. Indeed, CRCs with abundant infiltration of FOXP3lo T cells showed significantly better prognosis than those with predominantly FOXP3hi Treg cell infiltration. Development of such inflammatory FOXP3lonon-Treg cells may depend on secretion of interleukin (IL)-12 and transforming growth factor (TGF)-β by tissues and their presence was correlated with tumor invasion by intestinal bacteria, especially Fusobacterium nucleatum. Thus, functionally distinct subpopulations of tumor-infiltrating FOXP3+ T cells contribute in opposing ways to determining CRC prognosis. Depletion of FOXP3hi Treg cells from tumor tissues, which would augment antitumor immunity, could thus be used as an effective treatment strategy for CRCs and other cancers, whereas strategies that locally increase the population of FOXP3lo non-Treg cells could be used to suppress or prevent tumor formation.

    A hypothalamus-habenula circuit controls aversion.

    Mol Psychiatry.

    2019 Feb 12

    Lazaridis I, Tzortzi O, Weglage M, Märtin A, Xuan Y, Parent M, Johansson Y, Fuzik J, Fürth D, Fenno LE, Ramakrishnan C, Silberberg G, Deisseroth K, Carlén M, Meletis K.
    PMID: 30755721 | DOI: 10.1038/s41380-019-0369-5

    Encoding and predicting aversive events are critical functions of circuits that support survival and emotional well-being. Maladaptive circuit changes in emotional valence processing can underlie the pathophysiology of affective disorders. The lateral habenula (LHb) has been linked to aversion and mood regulation through modulation of the dopamine and serotonin systems. We have defined the identity and function of glutamatergic (Vglut2) control of the LHb, comparing the role of inputs originating in the globus pallidus internal segment (GPi), and lateral hypothalamic area (LHA), respectively. We found that LHb-projecting LHA neurons, and not the proposed GABA/glutamate co-releasing GPi neurons, are responsible for encoding negative value. Monosynaptic rabies tracing of the presynaptic organization revealed a predominantly limbic input onto LHA Vglut2 neurons, while sensorimotor inputs were more prominent onto GABA/glutamate co-releasing GPi neurons. We further recorded the activity of LHA Vglut2 neurons, by imaging calcium dynamics in response to appetitive versus aversive events in conditioning paradigms. LHA Vglut2 neurons formed activity clusters representing distinct reward or aversion signals, including a population that responded to mild foot shocks and predicted aversive events. We found that the LHb-projecting LHA Vglut2 neurons encode negative valence and rapidly develop a prediction signal for negative events. These findings establish the glutamatergic LHA-LHb circuit as a critical node in value processing.

    The neurons that restore walking after paralysis

    Nature

    2022 Nov 01

    Kathe, C;Skinnider, MA;Hutson, TH;Regazzi, N;Gautier, M;Demesmaeker, R;Komi, S;Ceto, S;James, ND;Cho, N;Baud, L;Galan, K;Matson, KJE;Rowald, A;Kim, K;Wang, R;Minassian, K;Prior, JO;Asboth, L;Barraud, Q;Lacour, SP;Levine, AJ;Wagner, F;Bloch, J;Squair, JW;Courtine, G;
    PMID: 36352232 | DOI: 10.1038/s41586-022-05385-7

    A spinal cord injury interrupts pathways from the brain and brainstem that project to the lumbar spinal cord, leading to paralysis. Here we show that spatiotemporal epidural electrical stimulation (EES) of the lumbar spinal cord<sup>1-3</sup> applied during neurorehabilitation<sup>4,5</sup> (EES<sup>REHAB</sup>) restored walking in nine individuals with chronic spinal cord injury. This recovery involved a reduction in neuronal activity in the lumbar spinal cord of humans during walking. We hypothesized that this unexpected reduction reflects activity-dependent selection of specific neuronal subpopulations that become essential for a patient to walk after spinal cord injury. To identify these putative neurons, we modelled the technological and therapeutic features underlying EES<sup>REHAB</sup> in mice. We applied single-nucleus RNA sequencing<sup>6-9</sup> and spatial transcriptomics<sup>10,11</sup> to the spinal cords of these mice to chart a spatially resolved molecular atlas of recovery from paralysis. We then employed cell type<sup>12,13</sup> and spatial prioritization to identify the neurons involved in the recovery of walking. A single population of excitatory interneurons nested within intermediate laminae emerged. Although these neurons are not required for walking before spinal cord injury, we demonstrate that they are essential for the recovery of walking with EES following spinal cord injury. Augmenting the activity of these neurons phenocopied the recovery of walking enabled by EES<sup>REHAB</sup>, whereas ablating them prevented the recovery of walking that occurs spontaneously after moderate spinal cord injury. We thus identified a recovery-organizing neuronal subpopulation that is necessary and sufficient to regain walking after paralysis. Moreover, our methodology establishes a framework for using molecular cartography to identify the neurons that produce complex behaviours.
    Loss of Hepatic Leucine-Rich Repeat-Containing G-Protein-Coupled Receptors 4 and 5 Promotes Nonalcoholic Fatty Liver Disease

    The American journal of pathology

    2022 Nov 18

    Saponara, E;Penno, C;Orsini, V;Wang, ZY;Fischer, A;Aebi, A;Matadamas-Guzman, ML;Brun, V;Fischer, B;Brousseau, M;O'Donnell, P;Turner, J;Meyer, AG;Bollepalli, L;d'Ario, G;Roma, G;Carbone, W;Annunziato, S;Obrecht, M;Beckmann, N;Saravanan, C;Osmont, A;Tropberger, P;Richards, SM;Genoud, C;Ley, S;Ksiazek, I;Nigsch, F;Terracciano, L;Schadt, HS;Bouwmeester, T;Tchorz, JS;Ruffner, H;
    PMID: 36410420 | DOI: 10.1016/j.ajpath.2022.10.008

    The roof plate-specific spondin-leucine-rich repeat-containing G-protein-coupled receptor 4/5 (Lgr4/5)-zinc and ring finger 3/ring finger protein 43 module is a master regulator of hepatic Wnt/β-catenin signaling and metabolic zonation, but its impact on nonalcoholic fatty liver disease (NAFLD) remains unclear. We studied whether hepatic epithelial cell-specific loss of the Wnt/β-catenin modulator Lgr4/5 promoted NAFLD. The 3- and 6-month-old mice with hepatic epithelial cell-specific deletion of both receptors Lgr4/5 (Lgr4/5dLKO) were compared with control mice on feeding with normal diet or high-fat diet (HFD). Livers of 6-month-old HFD-fed Lgr4/5dLKO mice developed hepatic steatosis and fibrosis compared with control mice. Serum cholesterol-high-density lipoprotein and total cholesterol levels in 3- and 6-month-old HFD-fed Lgr4/5dLKO mice were decreased compared with control mice. An ex vivo primary hepatocyte culture assay and a comprehensive BA characterization in liver, plasma, bile, and feces demonstrated that normal diet-fed Lgr4/5dLKO mice revealed impaired BA secretion, predisposing to develop cholestatic characteristics. Lipidome and RNA-sequencing analyses demonstrated severe alterations in several lipid species and pathways controlling lipid metabolism in livers of Lgr4/5dLKO mice. In conclusion, loss of hepatic Wnt/β-catenin activity by Lgr4/5 deletion led to loss of BA secretion, cholestatic features, altered lipid homeostasis, and deregulation of lipoprotein pathways. Both BA and intrinsic lipid alterations contributed to the onset of NAFLD.
    Cross-Laboratory Analysis of Brain Cell Type Transcriptomes with Applications to Interpretation of Bulk Tissue Data

    ENEURO

    2017 Nov 20

    Mancarci BO, Toker L, Tripathy SJ, Li B, Rocco B, Sibille E, Pavlidis P.
    PMID: - | DOI: 10.1523/ENEURO.0212-17.2017

    Establishing the molecular diversity of cell types is crucial for the study of the nervous system. We compiled a cross-laboratory database of mouse brain cell type-specific transcriptomes from 36 major cell types from across the mammalian brain using rigorously curated published data from pooled cell type microarray and single cell RNA-sequencing studies. We used these data to identify cell type-specific marker genes, discovering a substantial number of novel markers, many of which we validated using computational and experimental approaches. We further demonstrate that summarized expression of marker gene sets in bulk tissue data can be used to estimate the relative cell type abundance across samples. To facilitate use of this expanding resource, we provide a user-friendly web interface at Neuroexpresso.org.

    Significance Statement Cell type markers are powerful tools in the study of the nervous system that help reveal properties of cell types and acquire additional information from large scale expression experiments. Despite their usefulness in the field, known marker genes for brain cell types are few in number. We present NeuroExpresso, a database of brain cell type specific gene expression profiles, and demonstrate the use of marker genes for acquiring cell type specific information from whole tissue expression. The database will prove itself as a useful resource for researchers aiming to reveal novel properties of the cell types and aid both laboratory and computational scientists to unravel the cell type specific components of brain disorders.

    A Wnt-producing niche drives proliferative potential and progression in lung adenocarcinoma.

    Nature

    2017 May 10

    Tammela T, Sanchez-Rivera FJ, Cetinbas NM, Wu K, Joshi NS, Helenius K, Park Y, Azimi R, Kerper NR, Wesselhoeft RA, Gu X, Schmidt L, Cornwall-Brady M, Yilmaz ÖH, Xue W, Katajisto P, Bhutkar A, Jacks T.
    PMID: 28489818 | DOI: 10.1038/nature22334

    The heterogeneity of cellular states in cancer has been linked to drug resistance, cancer progression and the presence of cancer cells with properties of normal tissue stem cells. Secreted Wnt signals maintain stem cells in various epithelial tissues, including in lung development and regeneration. Here we show that mouse and human lung adenocarcinomas display hierarchical features with two distinct subpopulations, one with high Wnt signalling activity and another forming a niche that provides the Wnt ligand. The Wnt responder cells showed increased tumour propagation ability, suggesting that these cells have features of normal tissue stem cells. Genetic perturbation of Wnt production or signalling suppressed tumour progression. Small-molecule inhibitors targeting essential posttranslational modification of Wnt reduced tumour growth and markedly decreased the proliferative potential of lung cancer cells, leading to improved survival of tumour-bearing mice. These results indicate that strategies for disrupting pathways that maintain stem-like and niche cell phenotypes can translate into effective anti-cancer therapies.

    Neuronal Representation of Social Information in the Medial Amygdala of Awake Behaving Mice

    Cell.

    2017 Oct 26

    Li Y, Mathis A, Grewe BF, Osterhout JA, Ahanonu B, Schnitzer MJ, Murthy VN, Dulac C.
    PMID: 29107332 | DOI: 10.1016/j.cell.2017.10.015

    The medial amygdala (MeA) plays a critical role in processing species- and sex-specific signals that trigger social and defensive behaviors. However, the principles by which this deep brain structure encodes social information is poorly understood. We used a miniature microscope to image the Ca2+ dynamics of large neural ensembles in awake behaving mice and tracked the responses of MeA neurons over several months. These recordings revealed spatially intermingled subsets of MeA neurons with distinct temporal dynamics. The encoding of socialinformation in the MeA differed between males and females and relied on information from both individual cells and neuronal populations. By performing long-term Ca2+ imaging across different social contexts, we found that sexual experience triggers lasting and sex-specific changes in MeA activity, which, in males, involve signaling by oxytocin. These findings reveal basic principles underlying the brain's representation of social information and its modulation by intrinsic and extrinsic factors.

    Mapping visual functions onto molecular cell types in the mouse superior colliculus

    Neuron

    2023 Apr 18

    Liu, Y;Savier, EL;DePiero, VJ;Chen, C;Schwalbe, DC;Abraham-Fan, RJ;Chen, H;Campbell, JN;Cang, J;
    PMID: 37086721 | DOI: 10.1016/j.neuron.2023.03.036

    The superficial superior colliculus (sSC) carries out diverse roles in visual processing and behaviors, but how these functions are delegated among collicular neurons remains unclear. Here, using single-cell transcriptomics, we identified 28 neuron subtypes and subtype-enriched marker genes from tens of thousands of adult mouse sSC neurons. We then asked whether the sSC's molecular subtypes are tuned to different visual stimuli. Specifically, we imaged calcium dynamics in single sSC neurons in vivo during visual stimulation and then mapped marker gene transcripts onto the same neurons ex vivo. Our results identify a molecular subtype of inhibitory neuron accounting for ∼50% of the sSC's direction-selective cells, suggesting a genetic logic for the functional organization of the sSC. In addition, our studies provide a comprehensive molecular atlas of sSC neuron subtypes and a multimodal mapping method that will facilitate investigation of their respective functions, connectivity, and development.
    A Potential Novel Treatment for Chronic Cough in Long COVID Patients: Clearance of Epipharyngeal Residual SARS-CoV-2 Spike RNA by Epipharyngeal Abrasive Therapy

    Cureus

    2023 Jan 01

    Nishi, K;Yoshimoto, S;Tanaka, T;Kimura, S;Shinchi, Y;Yamano, T;
    PMID: 36618501 | DOI: 10.7759/cureus.33421

    A major target of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the epipharyngeal mucosa. Epipharyngeal abrasive therapy (EAT) is a Japanese treatment for chronic epipharyngitis. EAT is a treatment for chronic epipharyngitis in Japan that involves applying zinc chloride as an anti-inflammatory agent to the epipharyngeal mucosa. Here, we present a case of a 21-year-old man with chronic coughing that persisted for four months after a diagnosis of mild coronavirus disease 2019 (COVID-19), who was treated by EAT. We diagnosed chronic epipharyngitis as the cause of the chronic cough after the SARS-CoV-2 infection. SARS-CoV-2 spike RNA had persisted in the epipharyngeal mucosa of this Long COVID patient. EAT was performed once a week for three months, which eliminated residual SARS-CoV-2 RNA and reduced epipharyngeal inflammation. Moreover, a reduction in the expression of proinflammatory cytokines was found by histopathological examination. We speculate that the virus was excreted with the drainage induced by EAT, which stopped the secretion of proinflammatory cytokines. This case study suggests that EAT is a useful treatment for chronic epipharyngitis involving long COVID.
    Topographic connectivity and cellular profiling reveal detailed input pathways and functionally distinct cell types in the subthalamic nucleus

    Cell reports

    2022 Mar 01

    Jeon, H;Lee, H;Kwon, DH;Kim, J;Tanaka-Yamamoto, K;Yook, JS;Feng, L;Park, HR;Lim, YH;Cho, ZH;Paek, SH;Kim, J;
    PMID: 35235786 | DOI: 10.1016/j.celrep.2022.110439

    The subthalamic nucleus (STN) controls psychomotor activity and is an efficient therapeutic deep brain stimulation target in individuals with Parkinson's disease. Despite evidence indicating position-dependent therapeutic effects and distinct functions within the STN, the input circuit and cellular profile in the STN remain largely unclear. Using neuroanatomical techniques, we construct a comprehensive connectivity map of the indirect and hyperdirect pathways in the mouse STN. Our circuit- and cellular-level connectivities reveal a topographically graded organization with three types of indirect and hyperdirect pathways (external globus pallidus only, STN only, and collateral). We confirm consistent pathways into the human STN by 7 T MRI-based tractography. We identify two functional types of topographically distinct glutamatergic STN neurons (parvalbumin [PV+/-]) with synaptic connectivity from indirect and hyperdirect pathways. Glutamatergic PV+ STN neurons contribute to burst firing. These data suggest a complex interplay of information integration within the basal ganglia underlying coordinated movement control and therapeutic effects.

    Pages

    • « first
    • ‹ previous
    • 1
    • 2
    • 3
    • 4
    • 5
    • 6
    • 7
    • 8
    • 9
    • next ›
    • last »
    X
    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

    Enabling research, drug development (CDx) and diagnostics

    Contact Us
    • Toll-free in the US and Canada
    • +1877 576-3636
    • 
    • 
    • 
    Company
    • Overview
    • Leadership
    • Careers
    • Distributors
    • Quality
    • News & Events
    • Webinars
    • Patents
    Products
    • RNAscope or BaseScope
    • Target Probes
    • Controls
    • Manual assays
    • Automated Assays
    • Accessories
    • Software
    • How to Order
    Research
    • Popular Applications
    • Cancer
    • Viral
    • Pathways
    • Neuroscience
    • Other Applications
    • RNA & Protein
    • Customer Innovations
    • Animal Models
    Technology
    • Overview
    • RNA Detection
    • Spotlight Interviews
    • Publications & Guides
    Assay Services
    • Our Services
    • Biomarker Assay Development
    • Cell & Gene Therapy Services
    • Clinical Assay Development
    • Tissue Bank & Sample Procurement
    • Image Analysis
    • Your Benefits
    • How to Order
    Diagnostics
    • Diagnostics
    • Companion Diagnostics
    Support
    • Getting started
    • Contact Support
    • Troubleshooting Guide
    • FAQs
    • Manuals, SDS & Inserts
    • Downloads
    • Webinars
    • Training Videos

    Visit Bio-Techne and its other brands

    • bio-technie
    • protein
    • bio-spacific
    • rd
    • novus
    • tocris
    © 2025 Advanced Cell Diagnostics, Inc.
    • Terms and Conditions of Sale
    • Privacy Policy
    • Security
    • Email Preferences
    • 
    • 
    • 

    For Research Use Only. Not for diagnostic use. Refer to appropriate regulations. RNAscope is a registered trademark; and HybEZ, EZ-Batch and DNAscope are trademarks of Advanced Cell Diagnostics, Inc. in the United States and other countries. All rights reserved. ©2025 Advanced Cell Diagnostics, Inc.

     

    Contact Us / Request a Quote
    Download Manuals
    Request a PAS Project Consultation
    Order online at
    bio-techne.com
    OK
    X
    Contact Us

    Complete one of the three forms below and we will get back to you.

    For Quote Requests, please provide more details in the Contact Sales form below

    • Contact Sales
    • Contact Support
    • Contact Services
    • Offices

    Advanced Cell Diagnostics

    Our new headquarters office starting May 2016:

    7707 Gateway Blvd.  
    Newark, CA 94560
    Toll Free: 1 (877) 576-3636
    Phone: (510) 576-8800
    Fax: (510) 576-8798

     

    Bio-Techne

    19 Barton Lane  
    Abingdon Science Park
    Abingdon
    OX14 3NB
    United Kingdom
    Phone 2: +44 1235 529449
    Fax: +44 1235 533420

     

    Advanced Cell Diagnostics China

    20F, Tower 3,
    Raffles City Changning Office,
    1193 Changning Road, Shanghai 200051

    021-52293200
    info.cn@bio-techne.com
    Web: www.acdbio.com/cn

    For general information: Info.ACD@bio-techne.com
    For place an order: order.ACD@bio-techne.com
    For product support: support.ACD@bio-techne.com
    For career opportunities: hr.ACD@bio-techne.com

    See Distributors
    ×

    You have already Quick ordered an Item in your cart . If you want to add a new item , Quick ordered Item will be removed form your cart. Do You want to continue?

    OK Cancel
    Need help?

    How can we help you?