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.

  • Probes for INS (0)
  • Kits & Accessories (0)
  • Support & Documents (0)
  • Publications (171)
  • Image gallery (0)
Refine Probe List

Content for comparison

Gene

  • TBD (1413) Apply TBD filter
  • Lgr5 (151) Apply Lgr5 filter
  • (-) Remove SARS-CoV-2 filter SARS-CoV-2 (136)
  • 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
  • SLC32A1 (74) Apply SLC32A1 filter
  • 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
  • (-) Remove GLP1R filter GLP1R (31)
  • 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 (47) Apply RNAscope filter
  • RNAscope 2.5 HD Red assay (29) Apply RNAscope 2.5 HD Red assay filter
  • RNAscope Multiplex Fluorescent Assay (22) Apply RNAscope Multiplex Fluorescent Assay filter
  • RNAscope 2.5 HD Brown Assay (15) Apply RNAscope 2.5 HD Brown Assay filter
  • RNAscope 2.5 LS Assay (8) Apply RNAscope 2.5 LS Assay filter
  • RNAscope Fluorescent Multiplex Assay (7) Apply RNAscope Fluorescent Multiplex Assay filter
  • RNAscope 2.5 HD Reagent Kit - BROWN (6) Apply RNAscope 2.5 HD Reagent Kit - BROWN filter
  • RNAscope 2.5 VS Assay (5) Apply RNAscope 2.5 VS Assay filter
  • RNAscope 2.5 HD Duplex (4) Apply RNAscope 2.5 HD Duplex filter
  • RNAscope Multiplex Fluorescent v2 (4) Apply RNAscope Multiplex Fluorescent v2 filter
  • TBD (3) Apply TBD filter
  • RNAscope 2.0 Assay (1) Apply RNAscope 2.0 Assay filter
  • RNAscope 2.5 LS Reagent Kits (1) Apply RNAscope 2.5 LS Reagent Kits filter
  • RNAscope HiPlex v2 assay (1) Apply RNAscope HiPlex v2 assay filter
  • RNAscope HiPlex12 Reagents Kit (1) Apply RNAscope HiPlex12 Reagents Kit filter

Research area

  • Covid (113) Apply Covid filter
  • Infectious (39) Apply Infectious filter
  • Neuroscience (24) Apply Neuroscience filter
  • Inflammation (11) Apply Inflammation filter
  • Immunotherapy (8) Apply Immunotherapy filter
  • Reproduction (7) Apply Reproduction filter
  • Cancer (6) Apply Cancer filter
  • HPV (4) Apply HPV filter
  • Infectious Disease (4) Apply Infectious Disease filter
  • Vaccines (4) Apply Vaccines filter
  • Other (3) Apply Other filter
  • Other: Methods (3) Apply Other: Methods filter
  • Vaccine (3) Apply Vaccine filter
  • Covid-19 (2) Apply Covid-19 filter
  • diabetes (2) Apply diabetes filter
  • Heart Disease (2) Apply Heart Disease filter
  • Long Covid (2) Apply Long Covid filter
  • Lung (2) Apply Lung filter
  • Metabolism (2) Apply Metabolism filter
  • Neuroinflammation (2) Apply Neuroinflammation filter
  • Other: Metabolism (2) Apply Other: Metabolism filter
  • Adrenal (1) Apply Adrenal filter
  • Bioinformatics (1) Apply Bioinformatics filter
  • chimeric VLP-based Vaccine (1) Apply chimeric VLP-based Vaccine filter
  • COVID-19-associated pulmonary aspergillosis (1) Apply COVID-19-associated pulmonary aspergillosis filter
  • Development (1) Apply Development filter
  • Endocrinology (1) Apply Endocrinology filter
  • Heart (1) Apply Heart filter
  • Immunothearpy (1) Apply Immunothearpy filter
  • Infammation (1) Apply Infammation filter
  • Infectious Disease: influenza-associated pulmonary aspergillosis (1) Apply Infectious Disease: influenza-associated pulmonary aspergillosis filter
  • Infectiouse Disease: Flu (1) Apply Infectiouse Disease: Flu filter
  • Influenza (1) Apply Influenza filter
  • Long-Covid (1) Apply Long-Covid filter
  • Obesity (1) Apply Obesity filter
  • Organ transplant (1) Apply Organ transplant filter
  • Other: Metbolism (1) Apply Other: Metbolism filter
  • pharmacotherapy (1) Apply pharmacotherapy filter
  • Respiratory Disease (1) Apply Respiratory Disease filter
  • Sensory Neurons (1) Apply Sensory Neurons filter
  • Sex Differences (1) Apply Sex Differences filter
  • Stem cell (1) Apply Stem cell filter
  • Theraputic Development (1) Apply Theraputic Development filter
  • Vaccine-associated enhanced respiratory disease (1) Apply Vaccine-associated enhanced respiratory disease filter
  • Vaccines Associated Hepatitis (1) Apply Vaccines Associated Hepatitis filter
  • vasopressin (1) Apply vasopressin filter

Category

  • Publications (171) Apply Publications filter
Transmitted Fetal Immune Response in Cases of SARS-CoV-2 Infections during Pregnancy

Diagnostics

2022 Jan 19

González-Mesa, E;García-Fuentes, E;Carvia-Pontiasec, R;Lavado-Fernández, A;Cuenca-Marín, C;Suárez-Arana, M;Blasco-Alonso, M;Benítez-Lara, B;Mozas-Benítez, L;González-Cazorla, A;Egeberg-Neverdal, H;Jiménez-López, J;
| DOI: 10.3390/diagnostics12020245

(1) Background: Little is known about the effects of SARS-CoV-2 on the placenta, and whether the maternal inflammatory response is transmitted vertically. This research aims to provide information about the effects of SARS-CoV-2 infection on maternal and fetal immunity. (2) Methods: We have studied placental changes and humoral and cellular immunity in maternal and umbilical cord blood (UCB) samples from a group of pregnant women delivering after the diagnosis of SARS-CoV-2 infection during pregnancy. IgG and IgM SARS-CoV-2 antibodies, Interleukin 1b (IL1b), Interleukin 6 (IL6), and gamma-Interferon (IFN-γ), have been studied in the UCB samples. Lymphocyte subsets were studied according to CD3, CD8, CD4, CD34, and invariant natural Killer T cells (iNKT) markers. We used in situ hybridization techniques for the detection of viral RNA in placentas. (3) Results: During the study period, 79 pregnant women and their corresponding newborns were recruited. The main gestational age at the time of delivery was 39.1 weeks (SD 1.3). We did not find traces of the SARS-CoV-2 virus RNA in any of the analyzed placental samples. Detectable concentrations of IgG anti-SARS-CoV-2 antibodies, IL1b, IL6, and IFN-γ, in UCB were found in all cases, but IgM antibodies anti-ARS-CoV-2 were systematically undetectable. We found significant correlations between fetal CD3+ mononuclear cells and UCB IgG concentrations. We also found significant correlations between UCB IgG concentrations and fetal CD3+/CD4+, as well as CD3+/CD8+ T cells subsets. We also discovered that fetal CD3+/CD8+ cell counts were significantly higher in those cases with placental infarctions. (4) Conclusion: we have not verified the placental transfer of SARS-CoV-2. However, we have discovered that a significant immune response is being transmitted to the fetus in cases of SARS-CoV-2 maternal infection.
The SARS-CoV-2 B.1.1.529 Omicron virus causes attenuated infection and disease in mice and hamsters

Research square

2021 Dec 29

Diamond, M;Halfmann, P;Maemura, T;Iwatsuki-Horimoto, K;Iida, S;Kiso, M;Scheaffer, S;Darling, T;Joshi, A;Loeber, S;Foster, S;Ying, B;Whitener, B;Floyd, K;Ujie, M;Nakajima, N;Ito, M;Wright, R;Uraki, R;Li, R;Sakai, Y;Liu, Y;Larson, D;Osorio, J;Hernandez-Ortiz, J;ÄŒiuoderis, K;Florek, K;Patel, M;Bateman, A;Odle, A;Wong, LY;Wang, Z;Edara, VV;Chong, Z;Thackray, L;Ueki, H;Yamayoshi, S;Imai, M;Perlman, S;Webby, R;Seder, R;Suthar, M;Garcia-Sastre, A;Schotsaert, M;Suzuki, T;Boon, A;Kawaoka, Y;Douek, D;Moliva, J;Sullivan, N;Gagne, M;Ransier, A;Case, J;Jeevan, T;Franks, J;Fabrizio, T;DeBeauchamp, J;Kercher, L;Seiler, P;Singh, G;Warang, P;Gonzalez-Reiche, AS;Sordillo, E;van Bakel, H;Simon, V;
PMID: 34981044 | DOI: 10.21203/rs.3.rs-1211792/v1

Despite the development and deployment of antibody and vaccine countermeasures, rapidly-spreading SARS-CoV-2 variants with mutations at key antigenic sites in the spike protein jeopardize their efficacy. The recent emergence of B.1.1.529, the Omicron variant1,2, which has more than 30 mutations in the spike protein, has raised concerns for escape from protection by vaccines and therapeutic antibodies. A key test for potential countermeasures against B.1.1.529 is their activity in pre-clinical rodent models of respiratory tract disease. Here, using the collaborative network of the SARS-CoV-2 Assessment of Viral Evolution (SAVE) program of the National Institute of Allergy and Infectious Diseases (NIAID), we evaluated the ability of multiple B.1.1.529 Omicron isolates to cause infection and disease in immunocompetent and human ACE2 (hACE2) expressing mice and hamsters. Despite modeling and binding data suggesting that B.1.1.529 spike can bind more avidly to murine ACE2, we observed attenuation of infection in 129, C57BL/6, and BALB/c mice as compared with previous SARS-CoV-2 variants, with limited weight loss and lower viral burden in the upper and lower respiratory tracts. Although K18-hACE2 transgenic mice sustained infection in the lungs, these animals did not lose weight. In wild-type and hACE2 transgenic hamsters, lung infection, clinical disease, and pathology with B.1.1.529 also were milder compared to historical isolates or other SARS-CoV-2 variants of concern. Overall, experiments from multiple independent laboratories of the SAVE/NIAID network with several different B.1.1.529 isolates demonstrate attenuated lung disease in rodents, which parallels preliminary human clinical data.
Factors associated with myocardial SARS-CoV-2 infection, myocarditis, and cardiac inflammation in patients with COVID-19

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc

2021 Mar 17

Bearse, M;Hung, YP;Krauson, AJ;Bonanno, L;Boyraz, B;Harris, CK;Helland, TL;Hilburn, CF;Hutchison, B;Jobbagy, S;Marshall, MS;Shepherd, DJ;Villalba, JA;Delfino, I;Mendez-Pena, J;Chebib, I;Newton-Cheh, C;Stone, JR;
PMID: 33727695 | DOI: 10.1038/s41379-021-00790-1

COVID-19 has been associated with cardiac injury and dysfunction. While both myocardial inflammatory cell infiltration and myocarditis with myocyte injury have been reported in patients with fatal COVID-19, clinical-pathologic correlations remain limited. The objective was to determine the relationships between cardiac pathological changes in patients dying from COVID-19 and cardiac infection by SARS-CoV-2, laboratory measurements, clinical features, and treatments. In a retrospective study, 41 consecutive autopsies of patients with fatal COVID-19 were analyzed for the associations between cardiac inflammation, myocarditis, cardiac infection by SARS-CoV-2, clinical features, laboratory measurements, and treatments. Cardiac infection was assessed by in situ hybridization and NanoString transcriptomic profiling. Cardiac infection by SARS-CoV-2 was present in 30/41 cases: virus+ with myocarditis (n = 4), virus+ without myocarditis (n = 26), and virus- without myocarditis (n = 11). In the cases with cardiac infection, SARS-CoV-2+ cells in the myocardium were rare, with a median density of 1 cell/cm2. Virus+ cases showed higher densities of myocardial CD68+ macrophages and CD3+ lymphocytes, as well as more electrocardiographic changes (23/27 vs 4/10; P = 0.01). Myocarditis was more prevalent with IL-6 blockade than with nonbiologic immunosuppression, primarily glucocorticoids (2/3 vs 0/14; P = 0.02). Overall, SARS-CoV-2 cardiac infection was less prevalent in patients treated with nonbiologic immunosuppression (7/14 vs 21/24; P = 0.02). Myocardial macrophage and lymphocyte densities overall were positively correlated with the duration of symptoms but not with underlying comorbidities. In summary, cardiac infection with SARS-CoV-2 is common among patients dying from COVID-19 but often with only rare infected cells. Cardiac infection by SARS-CoV-2 is associated with more cardiac inflammation and electrocardiographic changes. Nonbiologic immunosuppression is associated with lower incidences of myocarditis and cardiac infection by SARS-CoV-2.
Murine Coronavirus Disease 2019 Lethality Is Characterized by Lymphoid Depletion Associated with Suppressed Antigen-Presenting Cell Functionality

The American journal of pathology

2023 Apr 05

Lee, YJ;Seok, SH;Lee, NY;Choi, HJ;Lee, YW;Chang, HJ;Hwang, JY;On, DI;Noh, HA;Lee, SB;Kwon, HK;Yun, JW;Shin, JS;Seo, JY;Nam, KT;Lee, H;Lee, HY;Park, JW;Seong, JK;
PMID: 37024046 | DOI: 10.1016/j.ajpath.2023.03.008

The disease severity of coronavirus disease 2019 (COVID-19) varies considerably from asymptomatic to serious, with fatal complications associated with dysregulation of innate and adaptive immunity. Lymphoid depletion in lymphoid tissues and lymphocytopenia have both been associated with poor disease outcomes in patients with COVID-19, but the mechanisms involved remain elusive. In this study, human angiotensin-converting enzyme 2 (hACE2) transgenic mouse models susceptible to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection were used to investigate the characteristics and determinants of lethality associated with the lymphoid depletion observed in SARS-CoV-2 infection. The lethality of Wuhan SARS-CoV-2 infection in K18-hACE2 mice was characterized by severe lymphoid depletion and apoptosis in lymphoid tissues related to fatal neuroinvasion. The lymphoid depletion was associated with a decreased number of antigen-presenting cells (APCs) and their suppressed functionality below basal levels. Lymphoid depletion with reduced APC function was a specific feature observed in SARS-CoV-2 infection but not in influenza A infection and had the greatest prognostic value for disease severity in murine COVID-19. Comparison of transgenic mouse models resistant and susceptible to SARS-CoV-2 infection revealed that suppressed APC function could be determined by the hACE2 expression pattern and interferon-related signaling. Thus, we demonstrated that lymphoid depletion associated with suppressed APC function characterizes the lethality of COVID-19 mouse models. Our data also suggest a potential therapeutic approach to prevent the severe progression of COVID-19 by enhancing APC functionality.
Does SARS-CoV-2 infect cardiomyocytes directly? Yes, it does

Medical Research Journal

2021 Sep 07

Ryszewska, A;Niewiadomski, P;
| DOI: 10.5603/mrj.a2021.0038

Introduction: COVID-19 (Coronavirus disease 2019) appeared in Wuhan, China, at the ending of 2019. The SARS-CoV-2 virus which causes the illness has spread all over the world and caused a pandemic. The first target of the virus is the respiratory tract; however, the COVID-19 may present different types of course. It is known that the SARS-CoV-2 affects multiple organs, including the heart. Cardiac manifestations of COVID-19 include myocarditis, myocardial infarction, heart failure, acute coronar... Morey syndrome, arrhythmia. The authors know about the patients who had only cardiovascular complications due to the COVID-19. Several mechanisms of heart injury are considered and so is the direct infection. Aim of the study: The present review aimed to find out if the SARS-CoV-2 may infect the heart directly and in which mechanism. The review is an information collection considering the SARS-CoV-2 impact on the heart. Material and methods: The authors have made research using the PubMed search engine to find studies and case reports considering the cardiovascular implications of COVID-19. The signs and symptoms in patients with cardiac implications were studied. The authors have also checked if studies explaining does the SARS-CoV-2 affects the heart directly were conducted. Results: SARS-CoV-2 brings several cardiovascular signs such as changes in imaging tests and elevation of several laboratory markers. The changes may suggest myocarditis or mimic cardiac infarction. The SARS-CoV-2 may affect cardiomyocytes indirectly by causing hypoxia and cytokine storm. As the heart tissue presents a high level of ACE2 which is the target of the virus, the SARS-CoV may infect cardiomyocytes directly. The hypothesis was confirmed in endomyocardial biopsies, autopsy, and in vitro studies. Conclusions: The SARS-CoV-2 impacts several organs. The heart may be injured indirectly (hypoxia and cytokine storm) and directly (ACE2 present in the heart), which gives consequences in a clinical course. The direct injury was confirmed in a variety of ways. Less
GDF15 acts synergistically with liraglutide but is not necessary for the weight loss induced by bariatric surgery in mice.

Molecular Metabolism (2019)

2019 Jan 14

Frikke-Schmidt H, Hultman K, Galaske JW, Jørgensen SB, Myers MG, Seeley RJ.
| DOI: doi: 10.1016/j.molmet.2019.01.003

Abstract Objective Analogues of GDF15 (Growth Differentiation Factor 15) are promising new anti-obesity therapies as pharmacological treatment with GDF15 results in dramatic reductions of food intake and body weight. GDF15 exerts its central anorexic effects by binding to the GFRAL receptor exclusively expressed in the Area Postrema (AP) and the Nucleus of the Solitary Tract (NTS) of the hindbrain. We sought to determine if GDF15 is an indispensable factor for other interventions that cause weight loss and which are also known to act via these hindbrain regions. Methods To explore the role of GDF15 on food choice we performed macronutrient intake studies in mice treated pharmacologically with GDF15 and in mice having either GDF15 or GFRAL deleted. Next we performed vertical sleeve gastrectomy (VSG) surgeries in a cohort of diet-induced obese Gdf15-null and control mice. To explore the anatomical co-localization of neurons in the hindbrain responding to GLP-1 and/or GDF15 we used GLP-1R reporter mice treated with GDF15, as well as naïve mouse brain and human brain stained by ISH and IHC, respectively, for GLP-1R and GFRAL. Lastly we performed a series of food intake experiments where we treated mice with targeted genetic disruption of either Gdf15 or Gfral with liraglutide; Glp1r-null mice with GDF15; or combined liraglutide and GDF15 treatment in wild-type mice. Results We found that GDF15 treatment significantly lowered the preference for fat intake in mice, whereas no changes in fat intake were observed after genetic deletion of Gdf15 or Gfral. In addition, deletion of Gdf15 did not alter the food intake or bodyweight after sleeve gastrectomy. Lack of GDF15 or GFRAL signaling did not alter the ability of the GLP-1R agonist liraglutide to reduce food intake. Similarly lack of GLP-1R signaling did not reduce GDF15’s anorexic effect. Interestingly, there was a significant synergistic effect on weight loss when treating wild-type mice with both GDF15 and liraglutide. Conclusion These data suggest that while GDF15 does not play a role in the potent effects of VSG in mice there seems to be a potential therapeutic benefit of activating GFRAL and GLP-1R systems simultaneously.
Visualising SARS-CoV-2 infection of the lung in deceased COVID-19 patients

EBioMedicine

2023 May 22

Van Slambrouck, J;Khan, M;Verbeken, E;Choi, S;Geudens, V;Vanluyten, C;Feys, S;Vanhulle, E;Wollants, E;Vermeire, K;De Fays, C;Aversa, L;Kaes, J;Van Raemdonck, D;Vos, R;Vanaudenaerde, B;De Hertogh, G;Wauters, E;Wauters, J;Ceulemans, LJ;Mombaerts, P;
PMID: 37224768 | DOI: 10.1016/j.ebiom.2023.104608

SARS-CoV-2 is a single-stranded positive-sense RNA virus. Several negative-sense SARS-CoV-2 RNA species, both full-length genomic and subgenomic, are produced transiently during viral replication. Methodologies for rigorously characterising cell tropism and visualising ongoing viral replication at single-cell resolution in histological sections are needed to assess the virological and pathological phenotypes of future SARS-CoV-2 variants. We aimed to provide a robust methodology for examining the human lung, the major target organ of this RNA virus.A prospective cohort study took place at the University Hospitals Leuven in Leuven, Belgium. Lung samples were procured postmortem from 22 patients who died from or with COVID-19. Tissue sections were fluorescently stained with the ultrasensitive single-molecule RNA in situ hybridisation platform of RNAscope combined with immunohistochemistry followed by confocal imaging.We visualised perinuclear RNAscope signal for negative-sense SARS-CoV-2 RNA species in ciliated cells of the bronchiolar epithelium of a patient who died with COVID-19 in the hyperacute phase of the infection, and in ciliated cells of a primary culture of human airway epithelium that had been infected experimentally with SARS-CoV-2. In patients who died between 5 and 13 days after diagnosis of the infection, we detected RNAscope signal for positive-sense but not for negative-sense SARS-CoV-2 RNA species in pneumocytes, macrophages, and among debris in the alveoli. SARS-CoV-2 RNA levels decreased after a disease course of 2-3 weeks, concomitant with a histopathological change from exudative to fibroproliferative diffuse alveolar damage. Taken together, our confocal images illustrate the complexities stemming from traditional approaches in the literature to characterise cell tropism and visualise ongoing viral replication solely by the surrogate parameters of nucleocapsid-immunoreactive signal or in situ hybridisation for positive-sense SARS-CoV-2 RNA species.Confocal imaging of human lung sections stained fluorescently with commercially available RNAscope probes for negative-sense SARS-CoV-2 RNA species enables the visualisation of viral replication at single-cell resolution during the acute phase of the infection in COVID-19. This methodology will be valuable for research on future SARS-CoV-2 variants and other respiratory viruses.Max Planck Society, Coronafonds UZ/KU Leuven, European Society for Organ Transplantation.
Influenza versus COVID-19-associated pulmonary aspergillosis: Profiling lower respiratory tract epithelial and myeloid innate immunity in patient samples

Medical Mycology

2022 Jan 01

Feys, S;Goncalves, SM;Khan, M;Choi, S;
| DOI: 10.1093/mmy/myac072.S3.3d/45938354/myac072.s3.3d

Objectives: Up to 20% and 15% of critically ill influenza and coronavirus disease 2019 (COVID-19) patients are affected by influenza- and COVID-19-associated pulmonary aspergillosis (IAPA and CAPA) respectively. These viral-fungal coinfections are difficult to diagnose and are associated with increased mortality. Mechanistic insights into the development of IAPA and CAPA are a prerequisite for the development of new biomarkers and novel immunomodulatory therapeutic targets. However, data on the pathophysiology are scarce. With this study, we aimed at expanding our knowledge of IAPA and CAPA pathophysiology in an explorative way, resorting to lower respiratory tract samples and focusing on the epithelial and myeloid innate immunity components of the antifungal host response. Methods: We performed nCounter gene expression analyses of 755 genes linked to innate immunity, and determined protein levels of 47 cytokines, chemokines, growth factors, and other inflammatory mediators on bronchoalveolar lavage (BAL) fluid samples from 166 ICU-admitted influenza and COVID-19-patients with or without aspergillosis. Additionally, we performed spatial transcriptomics and RNAscope on in vivo tracheobronchial biopsies from four IAPA and CAPA patients. Results: Several genes encoding proteins with important effector functions in antifungal immunity are downregulated in BAL fluid of IAPA and CAPA patients compared with influenza-only or COVID-19-only patients. Cellular deconvolution of the gene expression data reveals a significantly lower BAL neutrophil fraction in CAPA patients compared to COVID-19-only patients. IAPA and CAPA patients have high BAL fluid levels of pro-inflammatory cytokines, but these are not significantly different from the levels seen in influenza-only and COVID-19-only patients. By integrating the BAL fluid cytokine levels with their respective transcriptional responses, we show that IAPA patients, and to a lesser extent CAPA patients, have an aberrant transcriptional response to pro-inflammatory cytokines as well as type I and type II interferons, which may result in poor cellular effector functions (Fig. 1a). Interferon-gamma signaling is abrogated in both IAPA and CAPA patients when compared with influenza-only and COVID-19-only patients. We observe significantly higher levels of growth factors associated with lung fibrosis in both IAPA and CAPA BAL fluid, which may contribute to the higher mortality seen in these coinfections (Fig. 1b). Using spatial transcriptomics, we show that different epithelial defense mechanisms are at play in IAPA and CAPA (Fig. 2a). Finally, using RNAscope ultrasensitive single-molecule RNA in situ hybridization, we visualize fungal and viral colocalization in CAPA tracheobronchial tissue, proving that virus-induced epithelial barrier disruption paves the way for tissueinvasive aspergillosis (Fig. 2b). Conclusion: Using state-of-the-art techniques in lower respiratory tract samples obtained from a large representative patient cohort, we provide arguments for a three-level breach in antifungal immunity in IAPA and CAPA. A hampered ability to phagocytize and kill fungal spores enables Aspergillus germination and growth, leading to hyphae that are not contained because of restrained extracellular defense mechanisms. These hyphae may easily become tissue-invasive through an epithelium that is weakened by the viral infection, causing detrimental damage to the respiratory system. Functional studies will be necessary to further unravel the pathophysiology of IAPA and CAPA.
Microphysiological stem cell models of the human heart

Materials Today Bio

2022 Mar 01

Arslan, U;Moruzzi, A;Nowacka, J;Mummery, C;Eckardt, D;Loskill, P;Orlova, V;
| DOI: 10.1016/j.mtbio.2022.100259

Models of heart disease and drug responses are increasingly based on human pluripotent stem cells (hPSCs) since their ability to capture human heart (dys-)function is often better than animal models. Simple monolayer cultures of hPSC-derived cardiomyocytes, however, have shortcomings. Some of these can be overcome using more complex, multi cell-type models in 3D. Here we review modalities that address this, describe efforts to tailor readouts and sensors for monitoring tissue- and cell physiology (exogenously and in situ) and discuss perspectives for implementation in industry and academia.
GLP-1R signaling directly activates arcuate nucleus kisspeptin action in brain slices but does not rescue LH inhibition in OVX mice during negative energy balance

eNeuro

2017 Jan 05

Heppner KM, Baquero AF, Bennett CM, Lindsley SR, Kirigiti MA, Bennett B, Bosch MA, Mercer AJ, Rønnekleiv OK, True C, Grove KL, Smith MS.
PMID: - | DOI: 10.1523/ENEURO.0198-16.2016

Kisspeptin (Kiss1) neurons in the hypothalamic arcuate nucleus (ARC) are key components of the hypothalamic-pituitary-gonadal axis, as they regulate the basal pulsatile release of gonadotropin releasing hormone (GnRH). ARC Kiss1 action is dependent on energy status and unmasking metabolic factors responsible for modulating ARC Kiss1 neurons is of great importance. One possible factor is glucagon-like peptide-1 (GLP-1), an anorexigenic neuropeptide produced by brainstem preproglucagon neurons. As GLP fiber projections and the GLP-1 receptor (GLP-1R) are abundant in the ARC, we hypothesized that GLP-1R signaling could modulate ARC Kiss1 action. Using ovariectomized (OVX) mice, we found that GLP-producing fibers come in close apposition with ARC Kiss1 neurons; these neurons also contain Glp1r mRNA. Electrophysiological recordings revealed that liraglutide (a long-acting GLP-1R agonist) increased action potential firing and caused a direct membrane depolarization of ARC Kiss1 cells in brain slices. We determined that brainstem preproglucagon mRNA is decreased following a 48 h fast in mice, a negative energy state in which ARC Kiss1 expression and downstream GnRH/luteinizing hormone (LH) release are potently suppressed. However, activation of GLP-1R signaling in fasted mice with liraglutide was not sufficient to prevent LH inhibition. Furthermore, chronic central infusions of the GLP-1R antagonist, exendin (9-39) in ad libitum fed mice did not alter ARC Kiss1 mRNA or plasma LH. As a whole, these data identify a novel interaction of the GLP-1 system with ARC Kiss1 neurons but indicate that CNS GLP-1R signaling alone is not critical for the maintenance of LH during fasting or normal feeding.

Significance Statement Reproductive dysfunction is associated with metabolic imbalance, and identifying the underlying molecular mechanisms linking metabolic status with reproductive function is of great importance. Kisspeptin neurons (Kiss1) located in the arcuate nucleus of the hypothalamus (ARC) are essential for fertility and are potently inhibited during negative energy balance; this inhibition occurs in the presence or absence of ovarian steroids. Preproglucagon-expressing neurons located in the brainstem send abundant fiber projections to the ARC where they release the anorexigenic neuropeptide, glucagon-like peptide-1 (GLP-1). The aim of these studies was to determine the interaction of the CNS GLP-1 system with ARC Kiss1 activity to potentially provide a link between systems that control energy balance with those that control reproductive neuroendocrine output.

The endogenous preproglucagon system is not essential for gut growth homeostasis in mice

Molecular Metabolism

2017 Apr 27

Wismann P, Barkholt P, Secher T, Vrang N, Hansen HB, Bekker Jeppesen P, Baggio LL, Koehler JA, Drucker DJ, Sandoval DA, Jelsing J.
PMID: - | DOI: 10.1016/j.molmet.2017.04.007

Abstract

Objective

The prevalence of obesity and related co-morbidities is reaching pandemic proportions. Today, the most effective obesity treatments are glucagon-like peptide 1 (GLP-1) analogs and bariatric surgery. Interestingly, both intervention paradigms have been associated with adaptive growth responses in the gut; however, intestinotrophic mechanisms associated with or secondary to medical or surgical obesity therapies are poorly understood. Therefore, the objective of this study was to assess the local basal endogenous and pharmacological intestinotrophic effects of glucagon-like peptides and bariatric surgery in mice.

Methods

We used in situ hybridization to provide a detailed and comparative anatomical map of the local distribution of GLP-1 receptor (Glp1r), GLP-2 receptor (Glp2r), and preproglucagon (Gcg) mRNA expression throughout the mouse gastrointestinal tract. Gut development in GLP-1R-, GLP-2R-, or GCG-deficient mice was compared to their corresponding wild-type controls, and intestinotrophic effects of GLP-1 and GLP-2 analogs were assessed in wild-type mice. Lastly, gut volume was determined in a mouse model of vertical sleeve gastrectomy (VSG).

Results

Comparison of Glp1r, Glp2r, and Gcg mRNA expression indicated a widespread, but distinct, distribution of these three transcripts throughout all compartments of the mouse gastrointestinal tract. While mice null for Glp1r or Gcg showed normal intestinal morphology, Glp2r−/− mice exhibited a slight reduction in small intestinal mucosa volume. Pharmacological treatment with GLP-1 and GLP-2 analogs significantly increased gut volume. In contrast, VSG surgery had no effect on intestinal morphology.

Conclusion

The present study indicates that the endogenous preproglucagon system, exemplified by the entire GCG gene and the receptors for GLP-1 and GLP-2, does not play a major role in normal gut development in the mouse. Furthermore, elevation in local intestinal and circulating levels of GLP-1 and GLP-2 achieved after VSG has limited impact on intestinal morphometry. Hence, although exogenous treatment with GLP-1 and GLP-2 analogs enhances gut growth, the contributions of endogenously-secreted GLP-1 and GLP-2 to gut growth may be more modest and highly context-dependent.

A multi-center retrospective cohort study defines the spectrum of kidney pathology in Coronavirus 2019 Disease (COVID-19).

Kidney International

2021 Aug 01

May, R;Cassol, C;Hannoudi, A;Larsen, C;Lerma, E;Haun, R;Braga, J;Hassen, S;Wilson, J;VanBeek, C;Vankalakunti, M;Barnum, L;Walker, P;Bourne, T;Messias, N;Ambruzs, J;Boils, C;Sharma, S;Cossey, L;Baxi, P;Palmer, M;Zuckerman, J;Walavalkar, V;Urisman, A;Gallan, A;Al-Rabadi, L;Rodby, R;Luyckx, V;Espino, G;Santhana-Krishnan, S;Alper, B;Lam, S;Hannoudi, G;Matthew, D;Belz, M;Singer, G;Kunaparaju, S;Price, D;Sauabh, C;Rondla, C;Abdalla, M;Britton, M;Paul, S;Ranjit, U;Bichu, P;Williamson, S;Sharma, Y;Gaspert, A;Grosse, P;Meyer, I;Vasudev, B;El Kassem, M;Velez, J;Caza, T;
| DOI: 10.1016/j.kint.2021.07.015

Kidney failure is common in patients with Coronavirus Disease-19 (COVID-19) resulting in increased morbidity and mortality. In an international collaboration, 284 kidney biopsies were evaluated to improve understanding of kidney disease in COVID-19. Diagnoses were compared to five years of 63,575 native biopsies prior to the pandemic and 13,955 allograft biopsies to identify diseases increased in patients with COVID-19. Genotyping for APOL1 G1 and G2 alleles was performed in 107 African American and Hispanic patients. Immunohistochemistry for SARS-CoV-2 was utilized to assess direct viral infection in 273 cases along with clinical information at the time of biopsy. The leading indication for native biopsy was acute kidney injury (45.4%), followed by proteinuria with or without concurrent acute kidney injury (42.6%). There were more African American patients (44.6%) than patients of other ethnicities. The most common diagnosis in native biopsies was collapsing glomerulopathy (25.8%) which associated with high-risk APOL1 genotypes in 91.7% of cases. Compared to the five-year biopsy database, the frequency of myoglobin cast nephropathy and proliferative glomerulonephritis with monoclonal IgG deposits was also increased in patients with COVID-19 (3.3% and 1.7%, respectively), while there was a reduced frequency of chronic conditions (including diabetes mellitus, IgA nephropathy, and arterionephrosclerosis) as the primary diagnosis. In transplants, the leading indication was acute kidney injury (86.4%), for which rejection was the predominant diagnosis (61.4%). Direct SARS-CoV-2 viral infection was not identified. Thus, our multi-center large case series identified kidney diseases that disproportionately affect patients with COVID-19, demonstrated a high frequency of APOL1 high-risk genotypes within this group, with no evidence of direct viral infection within the kidney.

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?