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 (1522)
  • Image gallery (0)
Refine Probe List

Content for comparison

Gene

  • (-) Remove TBD filter TBD (1413)
  • 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
  • SLC32A1 (74) Apply SLC32A1 filter
  • FOS (73) Apply FOS filter
  • Sst (65) Apply Sst filter
  • (-) Remove TH filter TH (63)
  • 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
  • (-) Remove PVALB filter PVALB (47)
  • 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 (227) Apply RNAscope filter
  • TBD (149) Apply TBD filter
  • RNAscope Multiplex Fluorescent Assay (73) Apply RNAscope Multiplex Fluorescent Assay filter
  • RNAscope Fluorescent Multiplex Assay (54) Apply RNAscope Fluorescent Multiplex Assay filter
  • Basescope (10) Apply Basescope filter
  • RNAscope HiPlex v2 assay (10) Apply RNAscope HiPlex v2 assay filter
  • RNAscope 2.5 HD Brown Assay (9) Apply RNAscope 2.5 HD Brown Assay filter
  • DNAscope HD Duplex Reagent Kit (8) Apply DNAscope HD Duplex Reagent Kit filter
  • RNAscope 2.5 HD Duplex (8) Apply RNAscope 2.5 HD Duplex filter
  • RNAscope Multiplex Fluorescent v2 (8) Apply RNAscope Multiplex Fluorescent v2 filter
  • RNAscope 2.5 HD Reagent Kit - BROWN (7) Apply RNAscope 2.5 HD Reagent Kit - BROWN filter
  • RNAscope 2.5 HD Red assay (4) Apply RNAscope 2.5 HD Red assay filter
  • BASEscope Assay RED (2) Apply BASEscope Assay RED filter
  • RNAscope 2.0 Assay (2) Apply RNAscope 2.0 Assay filter
  • BaseScope Duplex Assay (1) Apply BaseScope Duplex Assay filter
  • DNAscope Duplex Assay (1) Apply DNAscope Duplex Assay filter
  • miRNAscope (1) Apply miRNAscope filter
  • RNAscope 2.5 HD Assay (1) Apply RNAscope 2.5 HD Assay filter
  • RNAscope 2.5 LS Assay (1) Apply RNAscope 2.5 LS Assay filter
  • RNAScope HiPlex assay (1) Apply RNAScope HiPlex assay filter
  • RNAscope HiPlex Image Registration Software (1) Apply RNAscope HiPlex Image Registration Software filter
  • RNAscope HiPlex12 Reagents Kit (1) Apply RNAscope HiPlex12 Reagents Kit filter

Research area

  • Neuroscience (237) Apply Neuroscience filter
  • Cancer (111) Apply Cancer filter
  • Development (58) Apply Development filter
  • Other: Methods (45) Apply Other: Methods filter
  • Inflammation (32) Apply Inflammation filter
  • Infectious (18) Apply Infectious filter
  • HIV (15) Apply HIV filter
  • Pain (14) Apply Pain filter
  • Stem Cells (13) Apply Stem Cells filter
  • HPV (12) Apply HPV filter
  • Other: Neuromuscular Disorders (10) Apply Other: Neuromuscular Disorders filter
  • Other: Heart (9) Apply Other: Heart filter
  • Other: Lung (9) Apply Other: Lung filter
  • CGT (8) Apply CGT filter
  • Covid (8) Apply Covid filter
  • Other: Metabolism (8) Apply Other: Metabolism filter
  • Infectious Disease (7) Apply Infectious Disease filter
  • Metabolism (7) Apply Metabolism filter
  • Stem cell (7) Apply Stem cell filter
  • Immunotherapy (6) Apply Immunotherapy filter
  • Other: Reproduction (6) Apply Other: Reproduction filter
  • Stress (6) Apply Stress filter
  • Aging (5) Apply Aging filter
  • Endocrinology (5) Apply Endocrinology filter
  • LncRNAs (5) Apply LncRNAs filter
  • Obesity (5) Apply Obesity filter
  • Reproduction (5) Apply Reproduction filter
  • Transcriptomics (5) Apply Transcriptomics filter
  • Cystic Fibrosis (4) Apply Cystic Fibrosis filter
  • Heart (4) Apply Heart filter
  • Itch (4) Apply Itch filter
  • lncRNA (4) Apply lncRNA filter
  • Memory (4) Apply Memory filter
  • Other: Kidney (4) Apply Other: Kidney filter
  • Other: Skin (4) Apply Other: Skin filter
  • Psychiatry (4) Apply Psychiatry filter
  • Alzheimer's Disease (3) Apply Alzheimer's Disease filter
  • diabetes (3) Apply diabetes filter
  • Immunology (3) Apply Immunology filter
  • Kidney (3) Apply Kidney filter
  • Lung (3) Apply Lung filter
  • other: Aging (3) Apply other: Aging filter
  • Other: Eyes (3) Apply Other: Eyes filter
  • Other: Transcriptomics (3) Apply Other: Transcriptomics filter
  • Other: Zoological Disease (3) Apply Other: Zoological Disease filter
  • Parkinson's Disease (3) Apply Parkinson's Disease filter
  • Regeneration (3) Apply Regeneration filter
  • Reproductive Biology (3) Apply Reproductive Biology filter
  • Skin (3) Apply Skin filter
  • Tumor microenvironment (3) Apply Tumor microenvironment filter

Category

  • Publications (1522) Apply Publications filter
A Synaptically Connected Hypothalamic Magnocellular Vasopressin-Locus Coeruleus Neuronal Circuit and Its Plasticity in Response to Emotional and Physiological Stress

Front. Neurosci.

2019 Feb 19

Hernadez-Perez OR, Hernandez VS, Nava-Kopp A, Barrio RA, Seifi M, Swinny JD, Eiden LE, Zhang L.
PMID: - | DOI: 10.3389/fnins.2019.00196

The locus coeruleus (LC)-norepinephrine (NE) system modulates a range of salient brain functions, including memory and response to stress. The LC-NE system is regulated by neurochemically diverse inputs, including a range of neuropeptides such as arginine-vasopressin (AVP). Whilst the origins of many of these LC inputs, their synaptic connectivity with LC neurons, and their contribution to LC-mediated brain functions, have been well characterized, this is not the case for the AVP-LC system. Therefore, our aims were to define the types of synapses formed by AVP+ fibers with LC neurons using immunohistochemistry together with confocal and transmission electron microscopy (TEM), the origins of such inputs, using retrograde tracers, and the plasticity of the LC AVP system in response to stress and spatial learning, using the maternal separation (MS) and Morris water maze (MWM) paradigms respectively, in rat. Confocal microscopy revealed that AVP+ fibers contacting tyrosine hydroxylase (TH)+ LC neurons were also immunopositive for vesicular glutamate transporter 2, a marker of presynaptic glutamatergic axons. TEM confirmed that AVP+ axons formed Gray type I (asymmetric) synapses with TH+ dendrites thus confirming excitatory synaptic connections between these systems. Retrograde tracing revealed that these LC AVP+ fibers originate from hypothalamic vasopressinergic magnocellular neurosecretory neurons (AVPMN). MS induced a significant increase in the density of LC AVP+ fibers. Finally, AVPMNN circuit upregulation by water-deprivation improved MWM performance while increased Fos expression was found in LC and efferent regions such as hippocampus and prefrontal cortex, suggesting that AVPMMN projections to LC could integrate homeostatic responses modifying neuroplasticity.

Development and characterization of an ETV1 rabbit monoclonal antibody for the immunohistochemical detection of ETV1 expression in cancer tissue specimens

Journal of immunological methods

2023 May 16

Schafer, C;Young, D;Singh, H;Jayakrishnan, R;Banerjee, S;Song, Y;Dobi, A;Petrovics, G;Srivastava, S;Srivastava, S;Sesterhenn, IA;Chesnut, GT;Tan, SH;
PMID: 37196930 | DOI: 10.1016/j.jim.2023.113493

Aberrant ETV1 overexpression arising from gene rearrangements or mutations occur frequently in prostate cancer, round cell sarcomas, gastrointestinal stromal tumors, gliomas, and other malignancies. The absence of specific monoclonal antibodies (mAb) has limited its detection and our understanding of its oncogenic function.An ETV1 specific rabbit mAb (29E4) was raised using an immunogenic peptide. Key residues essential for its binding were probed by ELISA and its binding kinetics were measured by surface plasmon resonance imaging (SPRi). Its selective binding to ETV1 was assessed by immunoblots and immunofluorescence assays (IFA), and by both single and double-immuno-histochemistry (IHC) assays on prostate cancer tissue specimens.Immunoblot results showed that the mAb is highly specific and lacked cross-reactivity with other ETS factors. A minimal epitope with two phenylalanine residues at its core was found to be required for effective mAb binding. SPRi measurements revealed an equilibrium dissociation constant in the picomolar range, confirming its high affinity. ETV1 (+) tumors were detected in prostate cancer tissue microarray cases evaluated. IHC staining of whole-mounted sections revealed glands with a mosaic staining pattern of cells that are partly ETV1 (+) and interspersed with ETV1 (-) cells. Duplex IHC, using ETV1 and ERG mAbs, detected collision tumors containing glands with distinct ETV1 (+) and ERG (+) cells.The selective detection of ETV1 by the 29E4 mAb in immunoblots, IFA, and IHC assays using human prostate tissue specimens reveals a potential utility for the diagnosis, the prognosis of prostate adenocarcinoma and other cancers, and the stratification of patients for treatment by ETV1 inhibitors.
Racialized Minorities Demonstrate Greater Pain Sensitivity And Sensibility To Heat And Self-Reported Acute Pain Despite Limitations Of Pain Sensitivity Questionnaire In Diverse Populations

The Journal of Pain

2023 Apr 01

Meeker, T;Tulloch, I;Kim, H;Keaser, M;Seminowicz, D;Dorsey, S;
| DOI: 10.1016/j.jpain.2023.02.067

Previous studies have demonstrated effects of racialized minority status on thermal pain sensitivity, sensibility, and tolerance. However, there is limited evidence demonstrating effects of minority status on painful punctate mechanical stimuli and self-report pain. We analyzed the effects of racialized minority status on heat pain sensitivity, sensibility to painful heat and punctate mechanical stimuli, and Pain Sensitivity Questionnaire (PSQ) scores. Our secondary purpose was to test face validity of the PSQ in a US population. Using quantitative sensory testing for painful heat and punctate mechanical stimuli (forces: 64, 128, 256 and 512 mN), and self-report PSQ, we evaluated pain sensitivity and sensibility in 134 healthy participants (34 Asian, 25 Black, and 75 White). We used linear mixed models to analyze outcomes allowing maximal inclusion of incomplete data sets. Racialized minority status was associated with greater heat pain sensitivity (F=7.63; p=0.00074) and PSQ scores (F=15.45; p=9.84 × 10-7) but had no effect on painful suprathreshold heat (model improvement by addition of race: Χ2=2.199; p=0.333) or punctate mechanical stimuli (F=1.50; p=0.229). Face validity of the PSQ in racialized minorities was limited by differential experience of individual items (F=19.87; p=3.28 × 10-8). Ratings of painful suprathreshold heat (R=0.204; p=0.00020) and punctate mechanical stimuli (R=0.333; p=0.00062) positively correlated with PSQ scores. Consistent with previous research, sensitivity to painful heat was affected by racialized minority status. In contrast, there was no significant effect of racialized minority status on suprathreshold painful heat or punctate mechanical stimuli. Certain items of the PSQ are inapplicable to healthy participants from racialized minority groups. NIH National Institute of Nursing Research P30NR014129.
Identification Of Hub Genes Associated With Acute Pain Episodes In Individuals With Sickle Cell Disease

The Journal of Pain

2023 Apr 01

Mucalo, L;Jia, S;Roethle, M;Singh, A;Brousseau, D;Panepinto, J;Hessner, M;Brandow, A;
| DOI: 10.1016/j.jpain.2023.02.062

Sudden, unpredictable, severe acute pain episodes are the most common sickle cell disease (SCD) complication. Some SCD patients experience frequent pain episodes while others experience rare episodes. Knowledge of the biology driving this variability is limited. Using gene transcription analyses, we previously showed an elevated inflammatory response is associated with increased SCD pain episode frequency. We sought to replicate these findings in a larger SCD cohort and identify hub genes closely associated with increased pain frequency. We conducted plasma-induced transcription analyses in 132 SCD patients (baseline health) and 60 Black controls (4-21 years, both groups). 3028 differentially expressed genes between SCD patients and controls were retained for subsequent analyses with Weighted Gene Co-Expression Network Analysis (WGCNA). WGCNA was used to define modules (functionally grouped genes) and we correlated these modules with number of pain episodes requiring health care utilization in prior three years. Of 11 identified modules, four showed significant correlation with number of pain episodes. Database for Annotation, Visualization, and Integrated Discovery (DAVID) was used for ontological analysis of the four significant modules and key biological processes identified were inflammatory response and cellular response to lipopolysaccharide. Cytoscape was used to construct a protein-protein interaction network and the 10 top hub genes identified in hierarchical order were: TNF, CCR5, CCR1, CCL2, CXCL2, ITGAM, CCL7, CXCL3, TLR2 and MMP9. These genes, as part of the inflammatory response, support the immune system contributes to increased pain episode frequency. Identified hub genes may be leveraged as therapeutic targets for reducing SCD pain episodes. 1R61NS114954-01.
OP 4.2- 00085 Cytolytic CD8+ T cells infiltrate germinal centers and limit HIV replication in spontaneous controllers

Journal of Virus Eradication

2022 Dec 01

Collins, D;Hitschfel, J;Walker, B;
| DOI: 10.1016/j.jve.2022.100202

Background: HIV infection persists predominantly within follicular helper CD4+ T cell-rich B cell follicles of lymphoid tissues. Cytotoxic CD8+ T cells, which are associated with natural control of HIV infection in peripheral blood, are relatively excluded from this niche, representing a potential barrier to cellular immunity and HIV cure. To better understand the mechanisms of HIV control within lymph nodes (LN), we investigated functionality, clonotypic compartmentalization, spatial localization, phenotypic characteristics and transcriptional profiles of LN-resident virus-specific and CXCR5-expressing follicular CD8+ T cells (fCD8) in persons who control HIV without medications. Methods: We obtained paired excisional inguinal LN biopsies and peripheral blood (PB) from 19 spontaneous HIV controllers and 17 HIV+ individuals on long-term ART. HIV-specific CD8+ T cell responses were identified by IFN-γ ELISpot and functional response to antigenic stimulation was measured by flow cytometry and CFSE-based proliferation assay. Clonotypic compartmentalization and transcriptional signatures associated with localization of HIV-specific CD8+ T cells were assessed via TCR and RNA-sequencing. Spatial relationships between ongoing viral replication and fCD8 cytotoxic effector potential in GCs were measured by HIV gagpol RNAscope and immunofluorescence on fixed LN sections. Results: Antigen-induced HIV-specific CD8+ T cell proliferation and cytolytic effector upregulation consistently distinguished spontaneous controllers from noncontrollers in PB (p=0.03) and LN (p=0.04). HIV-specific CD8+ T cells from both compartments shared TCR clonotypic composition (Morisita-Horn Similarity Index 0.8-1.0), consistent with ongoing infiltration from circulation. Migration into LNs was associated with gene signatures of inflammatory chemotaxis and antigen-induced effector function. The cytolytic effectors perforin and granzyme B were elevated among virus-specific CXCR5 + fCD8 s (p
Defining Inner Ear Cell Type Specification at Single-Cell Resolution in a Model of Human Cranial Development

SSRN Electronic Journal

2021 Dec 09

Steinhart, M;Serdy, S;van der Valk, W;Zhang, J;Kim, J;Lee, J;Koehler, K;
| DOI: 10.2139/ssrn.3974124

Inner ear development requires the complex interaction of numerous cell types arising from multiple embryologic origins. Current knowledge of inner ear organogenesis is limited primarily to animal models. Although most mechanisms of cellular development show conservation between vertebrate species, there are uniquely human aspects of inner ear development which remain unknown. Our group recently described a model of _in vitro_ human inner ear organogenesis using pluripotent stem cells in a 3D organoid culture system. This method promotes the formation of an entire sensorineural circuit, including hair cells, inner ear neurons, and Schwann cells. Our past work has characterized certain aspects of this culture system, however we have yet to fully define all the cell types which contribute to inner ear organoid assembly. Here, our goal was to reconstruct a time-based map of _in vitro_ development during inner ear organoid induction to understand the developmental elements captured in this system. We analyzed inner ear organoid development using single-cell RNA sequencing at ten time points during the first 36 days of induction. We reconstructed the on-target progression of undifferentiated pluripotent stem cells to surface ectoderm, pre-placodal, and otic epithelial cells, including supporting cells, hair cells, and neurons, following treatment with FGF, BMP, and WNT signaling modulators. Our data revealed endogenous signaling pathway-related gene expression that may influence the course of on-target differentiation. In addition, we classified a diverse array of off-target ectodermal cell types encompassing the neuroectoderm, neural crest, and mesenchymal lineages. Our work establishes the Inner ear Organoid Developmental Atlas (IODA), which can provide insights needed for understanding human biology and refining the guided differentiation of in vitro inner ear tissue.
Direct healthcare costs of lip, oral cavity and oropharyngeal cancer in Brazil

PloS one

2021 Feb 17

Milani, V;Zara, ALSA;da Silva, EN;Cardoso, LB;Curado, MP;Ribeiro-Rotta, RF;
PMID: 33596233 | DOI: 10.1371/journal.pone.0246475

The efficiency of public policies includes the measurement of the health resources used and their associated costs. There is a lack of studies evaluating the economic impact of oral cancer (OC). This study aims to estimate the healthcare costs of OC in Brazil from 2008 to 2016. This is a partial economic evaluation using the gross costing top-down method, considering the direct healthcare costs related to outpatients, inpatients, intensive care units, and the number of procedures, from the perspective of the public health sector. The data were extracted from the Outpatient and Inpatient Information System of the National Health System, by diagnosis according to the 10th Revision of the International Classification of Diseases, according to sites of interest: C00 to C06, C09 and C10. The values were adjusted for annual accumulated inflation and expressed in 2018 I$ (1 I$ = R$2,044). Expenditure on OC healthcare in Brazil was I$495.6 million, which was composed of 50.8% (I$251.6 million) outpatient and 49.2% (I$244.0 million) inpatient healthcare. About 177,317 admissions and 6,224,236 outpatient procedures were registered. Chemotherapy and radiotherapy comprised the largest number of procedures (88.8%) and costs (94.9%). Most of the costs were spent on people over 50 years old (72.9%) and on males (75.6%). Direct healthcare costs in Brazil for OC are substantial. Outpatient procedures were responsible for the highest total cost; however, inpatient procedures had a higher cost per procedure. Men over 50 years old consumed most of the cost and procedures for OC. The oropharynx and tongue were the sites with the highest expenditure. Further studies are needed to investigate the cost per individual, as well as direct non-medical and indirect costs of OC.
Therapeutic shutdown of HBV transcripts promotes reappearance of the SMC5/6 complex and silencing of the viral genome in vivo

Gut

2021 Jan 28

Allweiss, L;Giersch, K;Pirosu, A;Volz, T;Muench, RC;Beran, RK;Urban, S;Javanbakht, H;Fletcher, SP;Lütgehetmann, M;Dandri, M;
PMID: 33509930 | DOI: 10.1136/gutjnl-2020-322571

Silencing of the therapeutic strategies and reducing the HBV reservoir, the covalently closed circular DNA (cccDNA), have the potential to cure chronic HBV infection. We aimed to investigate the impact of small interferring RNA (siRNA) targeting all HBV transcripts or pegylated interferon-α (peg-IFNα) on the viral regulatory HBx protein and the structural maintenance of chromosome 5/6 complex (SMC5/6), a host factor suppressing cccDNA transcription. In particular, we assessed whether interventions lowering HBV transcripts can achieve and maintain silencing of cccDNA transcription in vivo. HBV-infected human liver chimeric mice were treated with siRNA or peg-IFNα. Virological and host changes were analysed at the end of treatment and during the rebound phase by qualitative PCR, ELISA, immunoblotting and chromatin immunoprecipitation. RNA in situ hybridisation was combined with immunofluorescence to detect SMC6 and HBV RNAs at single cell level. The entry inhibitor myrcludex-B was used during the rebound phase to avoid new infection events. Both siRNA and peg-IFNα strongly reduced all HBV markers, including HBx levels, thus enabling the reappearance of SMC5/6 in hepatocytes that achieved HBV-RNA negativisation and SMC5/6 association with the cccDNA. Only IFN reduced cccDNA loads and enhanced IFN-stimulated genes. However, the antiviral effects did not persist off treatment and SMC5/6 was again degraded. Remarkably, the blockade of viral entry that started at the end of treatment hindered renewed degradation of SMC5/6. These results reveal that therapeutics abrogating all HBV transcripts including HBx promote epigenetic suppression of the HBV minichromosome, whereas strategies protecting the human hepatocytes from reinfection are needed to maintain cccDNA silencing.
Single-cell RNA sequencing reveals SARS-CoV-2 infection dynamics in lungs of African green monkeys

Science translational medicine

2021 Jan 27

Speranza, E;Williamson, BN;Feldmann, F;Sturdevant, GL;Pérez-Pérez, L;Meade-White, K;Smith, BJ;Lovaglio, J;Martens, C;Munster, VJ;Okumura, A;Shaia, C;Feldmann, H;Best, SM;de Wit, E;
PMID: 33431511 | DOI: 10.1126/scitranslmed.abe8146

Detailed knowledge about the dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is important for uncovering the viral and host factors that contribute to coronavirus disease 2019 (COVID-19) pathogenesis. Old-World nonhuman primates recapitulate mild to moderate cases of COVID-19, thereby serving as important pathogenesis models. We compared African green monkeys inoculated with infectious SARS-CoV-2 or irradiated, inactivated virus to study the dynamics of virus replication throughout the respiratory tract. Genomic RNA from the animals inoculated with the irradiated virus was found to be highly stable, whereas subgenomic RNA, an indicator of viral replication, was found to degrade quickly. We combined this information with single-cell RNA sequencing of cells isolated from the lung and lung-draining mediastinal lymph nodes and developed new analysis methods for unbiased targeting of important cells in the host response to SARS-CoV-2 infection. Through detection of reads to the viral genome, we were able to determine that replication of the virus in the lungs appeared to occur mainly in pneumocytes, whereas macrophages drove the inflammatory response. Monocyte-derived macrophages recruited to the lungs, rather than tissue-resident alveolar macrophages, were most likely to be responsible for phagocytosis of infected cells and cellular debris early in infection, with their roles switching during clearance of infection. Together, our dataset provides a detailed view of the dynamics of virus replication and host responses over the course of mild COVID-19 and serves as a valuable resource to identify therapeutic targets.
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.

Development And Validation Of Painface, A Software Platform That Simplifies And Standardizes Mouse Grimace Analyses

The Journal of Pain

2023 Apr 01

Zylka, M;McCoy, E;Park, S;Patel, R;Ryan, D;Mullen, Z;Nesbitt, J;Lopez, J;Taylor-Blake, B;Krantz, J;Hu, W;Garris, R;Lima, L;Sotocinal, S;Austin, J;Kashlan, A;Jimenez, J;Shah, S;Trocinski, A;Vanden, K;Major, R;Bazick, H;Klein, M;Mogil, J;Wu, G;
| DOI: 10.1016/j.jpain.2023.02.113

Facial grimaces are now commonly used to quantify spontaneous pain in mice and other mammalian species, but scoring remains subjective and relies on humans with very different levels of proficiency. Here, we developed a Mouse Grimace Scale (MGS) for black-coated (C57BL/6) mice consisting of four facial action units (orbitals, nose, ears, whiskers). We used this scale to generate ground truth data from over 70,000 images of black mice in different settings. With this large data set, we developed a deep neural network and cloud-based software platform called PainFace (http://painface.net) that accurately scores facial grimaces of black mice on a 0-8 scale. PainFace generates over two orders of magnitude more MGS data than humans can realistically achieve, and at superhuman speed. By analyzing the frequency distribution of grimace scores, we found that mice spent >7x more time in a high grimace state following laparotomy surgery relative to sham surgery controls. The analgesic carprofen reduced the amount of time animals spent in this high grimace state after surgery. Specific facial action unit score combinations were overrepresented following laparotomy surgery, suggesting that characteristic facial expressions are associated with a high grimace state. While this study is focused on mice, PainFace was designed to simplify, standardize, and scale up grimace analyses with many other mammalian species, including humans. This work was supported by a grant from the NINDS (R01NS114259) to M.J.Z. NSF GRFP awarded to R.P.P.
Exploring Corticospinal Functional Connectome Using Resting-State Functional Magnetic Resonance Imaging

The Journal of Pain

2023 Apr 01

Kaptan, M;Law, C;Weber, K;Pfyffer, D;Zhang, X;Maronesy, T;Glover, G;Mackey, S;
| DOI: 10.1016/j.jpain.2023.02.065

Investigation of spontaneous- so-called‘resting-state'-activity of the central nervous system with functional magnetic resonance imaging (fMRI) holds great clinical potential to identify possible prognostic and diagnostic biomarkers for pain disorders and provides novel insights into the functional architecture of the central nervous system. Although previous resting-state studies in humans characterized functional networks of the brain and recently of the spinal cord, the resting-state networks of the entire central nervous system-delineating the interaction between the cord and the brain-have not been well characterized, possibly due to technical difficulties of corticospinal fMRI. Given the important role of ascending and descending pathways to understand disorders chronic pain disorders, here we characterize the resting-state functional connectivity networks along the whole neuroaxis in 29 healthy humans as a step prior to clinical studies. 31 brain slices and 12 cervical spinal cord slices from were acquired with a tailored fMRI sequence on a 3T system. Time courses of dorsal and ventral horns were used to map spinal cord's connection to the brain via a seed-based approach. Functional connectivity maps revealed that dorsal and ventral horn are significantly correlated with sensory and motor areas in the brain such as primary and somatosensory and motor cortices as well as with the thalamus. At the same time, we have observed that they somewhat distinct functional connectivity profiles in line with their functional segregation; frontal, occipital and insular cortices were more synchronized with ventral horn whereas caudate and thalamus appeared to be more synchronized with dorsal horn reflecting their functional division. NIH NINDS R01 NS109450.

Pages

  • « first
  • ‹ previous
  • …
  • 98
  • 99
  • 100
  • 101
  • 102
  • 103
  • 104
  • 105
  • 106
  • …
  • 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?