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 (1571451)
  • Kits & Accessories (135)
  • Support & Documents (0)
  • Publications (7110)
  • Image gallery (0)
Refine Probe List

Content for comparison

Species

  • Mouse (320919) Apply Mouse filter
  • Human (293611) Apply Human filter
  • Other (131299) Apply Other filter
  • Rat (63465) Apply Rat filter
  • Zebrafish (54667) Apply Zebrafish filter
  • Monkey (43709) Apply Monkey filter
  • Pig (17303) Apply Pig filter
  • Dog (16085) Apply Dog filter
  • Rabbit (8222) Apply Rabbit filter
  • Felis catus (7033) Apply Felis catus filter
  • Bovine (6266) Apply Bovine filter
  • Callithrix jacchus (5027) Apply Callithrix jacchus filter
  • Ovis aries (3328) Apply Ovis aries filter
  • Anolis carolinensis (3027) Apply Anolis carolinensis filter
  • Mesocricetus auratus (3019) Apply Mesocricetus auratus filter
  • Octopus bimaculoides (2731) Apply Octopus bimaculoides filter
  • Salmo salar (2711) Apply Salmo salar filter
  • Astyanax mexicanus (2665) Apply Astyanax mexicanus filter
  • Heterocephalus glaber (2596) Apply Heterocephalus glaber filter
  • Aedes aegypti (2427) Apply Aedes aegypti filter
  • Pogona vitticeps (2245) Apply Pogona vitticeps filter
  • Sorghum bicolor (1880) Apply Sorghum bicolor filter
  • Anopheles gambiae str. PEST (1759) Apply Anopheles gambiae str. PEST filter
  • Oryzias latipes (1746) Apply Oryzias latipes filter
  • Trichoplax adhaerens (1720) Apply Trichoplax adhaerens filter
  • Xenopus laevis (1534) Apply Xenopus laevis filter
  • Human papillomavirus (1523) Apply Human papillomavirus filter
  • Human herpesvirus (1465) Apply Human herpesvirus filter
  • Other virus (1461) Apply Other virus filter
  • Ixodes scapularis (1395) Apply Ixodes scapularis filter
  • Oncorhynchus mykiss (1393) Apply Oncorhynchus mykiss filter
  • Macaca nemestrina (1310) Apply Macaca nemestrina filter
  • Human immunodeficiency virus 1 (1303) Apply Human immunodeficiency virus 1 filter
  • Ginglymostoma cirratum (1163) Apply Ginglymostoma cirratum filter
  • Hepatitis B virus (1141) Apply Hepatitis B virus filter
  • Xenopus tropicalis (1138) Apply Xenopus tropicalis filter
  • Peromyscus maniculatus bairdii (1114) Apply Peromyscus maniculatus bairdii filter
  • Serinus canaria (1038) Apply Serinus canaria filter
  • Ictidomys tridecemlineatus (1028) Apply Ictidomys tridecemlineatus filter
  • Microtus ochrogaster (1024) Apply Microtus ochrogaster filter
  • Nothobranchius furzeri (1001) Apply Nothobranchius furzeri filter
  • synthetic construct (879) Apply synthetic construct filter
  • Gasterosteus aculeatus (818) Apply Gasterosteus aculeatus filter
  • Lonchura striata domestica (805) Apply Lonchura striata domestica filter
  • Hippocampus comes (768) Apply Hippocampus comes filter
  • Monodelphis domestica (694) Apply Monodelphis domestica filter
  • Rousettus aegyptiacus (639) Apply Rousettus aegyptiacus filter
  • Tupaia chinensis (617) Apply Tupaia chinensis filter
  • Anopheles gambiae (612) Apply Anopheles gambiae filter
  • Meriones unguiculatus (583) Apply Meriones unguiculatus filter

Gene

  • PPIB (2561) Apply PPIB filter
  • TBD (1462) Apply TBD filter
  • Bdnf (1374) Apply Bdnf filter
  • GAPDH (1320) Apply GAPDH filter
  • Htt (1318) Apply Htt filter
  • UBC (1313) Apply UBC filter
  • Slc17a6 (1162) Apply Slc17a6 filter
  • FOS (1149) Apply FOS filter
  • Gad1 (1096) Apply Gad1 filter
  • Il10 (1077) Apply Il10 filter
  • CD4 (1066) Apply CD4 filter
  • POLR2A (1063) Apply POLR2A filter
  • ESR1 (1025) Apply ESR1 filter
  • AR (989) Apply AR filter
  • Vegfa (885) Apply Vegfa filter
  • Tnf (884) Apply Tnf filter
  • Lgr5 (875) Apply Lgr5 filter
  • Oxtr (868) Apply Oxtr filter
  • Ifng (851) Apply Ifng filter
  • NTRK2 (846) Apply NTRK2 filter
  • Ace2 (835) Apply Ace2 filter
  • DRD2 (824) Apply DRD2 filter
  • TGFB1 (822) Apply TGFB1 filter
  • Slc17a7 (808) Apply Slc17a7 filter
  • Rbfox3 (806) Apply Rbfox3 filter
  • LEPR (804) Apply LEPR filter
  • Nrg1 (791) Apply Nrg1 filter
  • OPRM1 (786) Apply OPRM1 filter
  • GFAP (784) Apply GFAP filter
  • PDGFRA (774) Apply PDGFRA filter
  • IL6 (751) Apply IL6 filter
  • ACTB (745) Apply ACTB filter
  • Sox9 (745) Apply Sox9 filter
  • Chat (731) Apply Chat filter
  • DRD1 (730) Apply DRD1 filter
  • GLP1R (728) Apply GLP1R filter
  • NP (728) Apply NP filter
  • Cd8a (727) Apply Cd8a filter
  • PECAM1 (725) Apply PECAM1 filter
  • MAPT (723) Apply MAPT filter
  • COL1A1 (703) Apply COL1A1 filter
  • ACTA2 (701) Apply ACTA2 filter
  • CD3E (694) Apply CD3E filter
  • TRPA1 (688) Apply TRPA1 filter
  • CDKN1A (670) Apply CDKN1A filter
  • S (658) Apply S filter
  • Sst (650) Apply Sst filter
  • Piezo2 (643) Apply Piezo2 filter
  • 16SrRNA (638) Apply 16SrRNA filter
  • CD68 (615) Apply CD68 filter

Platform

  • Manual Assay RNAscope HiPlex (511449) Apply Manual Assay RNAscope HiPlex filter
  • Automated Assay for Leica Systems - RNAscope (128999) Apply Automated Assay for Leica Systems - RNAscope filter
  • Manual Assay RNAscope (70981) Apply Manual Assay RNAscope filter
  • Automated Assay for Ventana Systems - RNAscope (36105) Apply Automated Assay for Ventana Systems - RNAscope filter
  • Manual Assay BaseScope (5508) Apply Manual Assay BaseScope filter
  • Manual Assay miRNAscope (5124) Apply Manual Assay miRNAscope filter
  • Automated Assay for Leica Systems - miRNAscope (4930) Apply Automated Assay for Leica Systems - miRNAscope filter
  • Automated Assay for Leica Systems - BaseScope (4611) Apply Automated Assay for Leica Systems - BaseScope filter
  • Automated Assay for Ventana System - BaseScope (4574) Apply Automated Assay for Ventana System - BaseScope filter
  • Automated Assay for Ventana Systems - miRNAscope (4077) Apply Automated Assay for Ventana Systems - miRNAscope filter
  • Manual Assay DNAscope (227) Apply Manual Assay DNAscope filter
  • Manual Assay 2.5 (9) Apply Manual Assay 2.5 filter
  • T3 (3) Apply T3 filter
  • T4 (3) Apply T4 filter
  • T8 (3) Apply T8 filter
  • T1 (3) Apply T1 filter
  • T10 (3) Apply T10 filter
  • Manual Assay HiPlex (2) Apply Manual Assay HiPlex filter
  • T2 (2) Apply T2 filter
  • T7 (2) Apply T7 filter
  • T9 (2) Apply T9 filter
  • Automated Assay for Leica Systems (LS 2.5) (1) Apply Automated Assay for Leica Systems (LS 2.5) filter
  • T5 (1) Apply T5 filter
  • T6 (1) Apply T6 filter
  • T11 (1) Apply T11 filter
  • T12 (1) Apply T12 filter

Channel

  • 1 (158789) Apply 1 filter
  • 2 (145194) Apply 2 filter
  • 3 (93691) Apply 3 filter
  • 4 (93473) Apply 4 filter
  • 6 (46553) Apply 6 filter
  • 5 (36684) Apply 5 filter
  • 8 (82) Apply 8 filter
  • 9 (76) Apply 9 filter
  • 7 (72) Apply 7 filter
  • 11 (67) Apply 11 filter
  • 10 (58) Apply 10 filter
  • 12 (50) Apply 12 filter

HiPlex Channel

  • T1 (85058) Apply T1 filter
  • T10 (85051) Apply T10 filter
  • T12 (85050) Apply T12 filter
  • T11 (85039) Apply T11 filter
  • T9 (82563) Apply T9 filter
  • T8 (82560) Apply T8 filter
  • T4 (82558) Apply T4 filter
  • T2 (82557) Apply T2 filter
  • T7 (82553) Apply T7 filter
  • T3 (82546) Apply T3 filter
  • T6 (82546) Apply T6 filter
  • T5 (82540) Apply T5 filter
  • S1 (32) Apply S1 filter
  • 8 (17) Apply 8 filter
  • 1 (1) Apply 1 filter
  • 10 (1) Apply 10 filter
  • 6 (1) Apply 6 filter

Product

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

Research area

  • Neuroscience (1849) Apply Neuroscience filter
  • Cancer (1385) Apply Cancer filter
  • Development (509) Apply Development filter
  • Inflammation (472) Apply Inflammation filter
  • Infectious Disease (410) Apply Infectious Disease filter
  • Other (406) Apply Other filter
  • Stem Cells (258) Apply Stem Cells filter
  • Covid (237) Apply Covid filter
  • Infectious (220) Apply Infectious filter
  • HPV (187) Apply HPV filter
  • lncRNA (135) Apply lncRNA filter
  • Metabolism (91) Apply Metabolism filter
  • Developmental (83) Apply Developmental filter
  • Stem cell (78) Apply Stem cell filter
  • Immunotherapy (72) Apply Immunotherapy filter
  • Other: Methods (67) Apply Other: Methods filter
  • HIV (64) Apply HIV filter
  • CGT (62) Apply CGT filter
  • Pain (62) Apply Pain filter
  • diabetes (57) Apply diabetes filter
  • LncRNAs (46) Apply LncRNAs filter
  • Aging (43) Apply Aging filter
  • Other: Heart (40) Apply Other: Heart filter
  • Reproduction (38) Apply Reproduction filter
  • Endocrinology (34) Apply Endocrinology filter
  • Other: Metabolism (32) Apply Other: Metabolism filter
  • Obesity (29) Apply Obesity filter
  • Other: Lung (29) Apply Other: Lung filter
  • Behavior (27) Apply Behavior filter
  • Kidney (27) Apply Kidney filter
  • Other: Kidney (27) Apply Other: Kidney filter
  • Alzheimer's Disease (26) Apply Alzheimer's Disease filter
  • Bone (24) Apply Bone filter
  • Stress (21) Apply Stress filter
  • Other: Zoological Disease (20) Apply Other: Zoological Disease filter
  • Regeneration (20) Apply Regeneration filter
  • Skin (20) Apply Skin filter
  • Heart (19) Apply Heart filter
  • Liver (19) Apply Liver filter
  • Lung (19) Apply Lung filter
  • Fibrosis (17) Apply Fibrosis filter
  • Other: Liver (17) Apply Other: Liver filter
  • Psychiatry (17) Apply Psychiatry filter
  • behavioral (16) Apply behavioral filter
  • Other: Endocrinology (16) Apply Other: Endocrinology filter
  • Other: Skin (16) Apply Other: Skin filter
  • Injury (15) Apply Injury filter
  • Anxiety (14) Apply Anxiety filter
  • Memory (14) Apply Memory filter
  • Reproductive Biology (14) Apply Reproductive Biology filter

Product sub type

  • Target Probes (256568) Apply Target Probes filter
  • Control Probe - Automated Leica (409) Apply Control Probe - Automated Leica filter
  • Control Probe - Automated Leica Multiplex (284) Apply Control Probe - Automated Leica Multiplex filter
  • Control Probe - Automated Leica Duplex (168) Apply Control Probe - Automated Leica Duplex filter
  • Control Probe- Manual RNAscope Multiplex (148) Apply Control Probe- Manual RNAscope Multiplex filter
  • Control Probe - Automated Ventana (143) Apply Control Probe - Automated Ventana filter
  • Control Probe - Manual RNAscope Singleplex (142) Apply Control Probe - Manual RNAscope Singleplex filter
  • Control Probe - Manual RNAscope Duplex (137) Apply Control Probe - Manual RNAscope Duplex filter
  • Control Probe (73) Apply Control Probe filter
  • Control Probe - Manual BaseScope Singleplex (51) Apply Control Probe - Manual BaseScope Singleplex filter
  • Control Probe - VS BaseScope Singleplex (41) Apply Control Probe - VS BaseScope Singleplex filter
  • Control Probe - LS BaseScope Singleplex (40) Apply Control Probe - LS BaseScope Singleplex filter
  • L-HBsAG (15) Apply L-HBsAG filter
  • Cancer (13) Apply Cancer filter
  • Automated Assay 2.5: Leica System (8) Apply Automated Assay 2.5: Leica System filter
  • Control Probe- Manual BaseScope Duplex (8) Apply Control Probe- Manual BaseScope Duplex filter
  • 1765 (8) Apply 1765 filter
  • 1379 (8) Apply 1379 filter
  • 2184 (8) Apply 2184 filter
  • 38322 (8) Apply 38322 filter
  • Manual Assay 2.5: Pretreatment Reagents (5) Apply Manual Assay 2.5: Pretreatment Reagents filter
  • Controls: Manual Probes (5) Apply Controls: Manual Probes filter
  • Control Probe- Manual RNAscope HiPlex (5) Apply Control Probe- Manual RNAscope HiPlex filter
  • Manual Assay RNAscope Brown (4) Apply Manual Assay RNAscope Brown filter
  • Manual Assay RNAscope Duplex (4) Apply Manual Assay RNAscope Duplex filter
  • Manual Assay RNAscope Multiplex (4) Apply Manual Assay RNAscope Multiplex filter
  • Manual Assay BaseScope Red (4) Apply Manual Assay BaseScope Red filter
  • IA: Other (4) Apply IA: Other filter
  • Control Probe - Manual BaseScope Duplex (4) Apply Control Probe - Manual BaseScope Duplex filter
  • Manual Assay miRNAscope Red (4) Apply Manual Assay miRNAscope Red filter
  • Automated Assay 2.5: Ventana System (3) Apply Automated Assay 2.5: Ventana System filter
  • IA: Other Accessories (3) Apply IA: Other Accessories filter
  • Control Probe - Automated Ventana Duplex (3) Apply Control Probe - Automated Ventana Duplex filter
  • Manual Assay BaseScope Duplex (3) Apply Manual Assay BaseScope Duplex filter
  • Manual Assay RNAscope Red (2) Apply Manual Assay RNAscope Red filter
  • Controls: Control Slides (2) Apply Controls: Control Slides filter
  • Control Probe- Manual BaseScope Singleplex (2) Apply Control Probe- Manual BaseScope Singleplex filter
  • Control Probe - Manual BaseScope™Singleplex (2) Apply Control Probe - Manual BaseScope™Singleplex filter
  • Manual Assay: Accessory Reagent (1) Apply Manual Assay: Accessory Reagent filter
  • Accessory Reagent (1) Apply Accessory Reagent filter
  • Controls: Manual RNAscope Multiplex (1) Apply Controls: Manual RNAscope Multiplex filter
  • IA: HybEZ (1) Apply IA: HybEZ filter
  • Automated Assay BaseScope: LS (1) Apply Automated Assay BaseScope: LS filter
  • Automated Assay BaseScope: VS (1) Apply Automated Assay BaseScope: VS filter
  • Software: RNAscope HiPlex Image Registration (1) Apply Software: RNAscope HiPlex Image Registration filter
  • miRNAscope Automated Assay: Leica System (1) Apply miRNAscope Automated Assay: Leica System filter
  • Automated Assay: VS (1) Apply Automated Assay: VS filter
  • Control Probe - VS BaseScope™Singleplex (1) Apply Control Probe - VS BaseScope™Singleplex filter
  • Controls:2.5VS Probes (1) Apply Controls:2.5VS Probes filter
  • Control Probe - Manual RNAscope Multiplex (1) Apply Control Probe - Manual RNAscope Multiplex filter

Sample Compatibility

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

Category

  • Publications (7110) Apply Publications filter

Application

  • Cancer (139875) Apply Cancer filter
  • Neuroscience (51010) Apply Neuroscience filter
  • Cancer, Neuroscience (32227) Apply Cancer, Neuroscience filter
  • Non-coding RNA (24365) Apply Non-coding RNA filter
  • Cancer, Inflammation (16436) Apply Cancer, Inflammation filter
  • Cancer, Inflammation, Neuroscience (12591) Apply Cancer, Inflammation, Neuroscience filter
  • Inflammation (9879) Apply Inflammation filter
  • Cancer, Stem Cell (7932) Apply Cancer, Stem Cell filter
  • Cancer, Neuroscience, Stem Cell (7028) Apply Cancer, Neuroscience, Stem Cell filter
  • Cancer, Immunotherapy, Inflammation, Neuroscience, Stem Cell (6854) Apply Cancer, Immunotherapy, Inflammation, Neuroscience, Stem Cell filter
  • Cancer, Inflammation, Neuroscience, Stem Cell (5424) Apply Cancer, Inflammation, Neuroscience, Stem Cell filter
  • Immunotherapy (5368) Apply Immunotherapy filter
  • Cancer, Immunotherapy (3866) Apply Cancer, Immunotherapy filter
  • Stem Cell (3385) Apply Stem Cell filter
  • Cancer, Immunotherapy, Neuroscience, Stem Cell (3050) Apply Cancer, Immunotherapy, Neuroscience, Stem Cell filter
  • Cancer, Immunotherapy, Inflammation (2844) Apply Cancer, Immunotherapy, Inflammation filter
  • Cancer, Immunotherapy, Inflammation, Neuroscience (1878) Apply Cancer, Immunotherapy, Inflammation, Neuroscience filter
  • Cancer, Immunotherapy, Neuroscience (1786) Apply Cancer, Immunotherapy, Neuroscience filter
  • Inflammation, Neuroscience (1499) Apply Inflammation, Neuroscience filter
  • Cancer, Non-coding RNA (1142) Apply Cancer, Non-coding RNA filter
  • Cancer, Immunotherapy, Inflammation, Stem Cell (1021) Apply Cancer, Immunotherapy, Inflammation, Stem Cell filter
  • Cancer,Neuroscience (940) Apply Cancer,Neuroscience filter
  • Cancer,Inflammation (777) Apply Cancer,Inflammation filter
  • Cancer, Inflammation, Stem Cell (594) Apply Cancer, Inflammation, Stem Cell filter
  • Immunotherapy, Inflammation (560) Apply Immunotherapy, Inflammation filter
  • Cancer,Inflammation,Neuroscience (424) Apply Cancer,Inflammation,Neuroscience filter
  • Cancer,Neuroscience,Stem Cell (317) Apply Cancer,Neuroscience,Stem Cell filter
  • Cancer, Immunotherapy, Stem Cell (295) Apply Cancer, Immunotherapy, Stem Cell filter
  • Cancer,Inflammation,Neuroscience,Stem Cell (259) Apply Cancer,Inflammation,Neuroscience,Stem Cell filter
  • Cancer,Stem Cell (237) Apply Cancer,Stem Cell filter
  • Cancer, Neuroscience, Neuroscience (221) Apply Cancer, Neuroscience, Neuroscience filter
  • Cancer,Immunotherapy,Inflammation,Neuroscience,Stem Cell (211) Apply Cancer,Immunotherapy,Inflammation,Neuroscience,Stem Cell filter
  • Cancer,Immunotherapy (206) Apply Cancer,Immunotherapy filter
  • Cancer,Immunotherapy,Inflammation (130) Apply Cancer,Immunotherapy,Inflammation filter
  • Neuroscience, Neuroscience (119) Apply Neuroscience, Neuroscience filter
  • Cancer,Immunotherapy,Neuroscience (113) Apply Cancer,Immunotherapy,Neuroscience filter
  • L glycoprotein (112) Apply L glycoprotein filter
  • Immunotherapy, Neuroscience (99) Apply Immunotherapy, Neuroscience filter
  • Cancer,Immunotherapy,Inflammation,Neuroscience (82) Apply Cancer,Immunotherapy,Inflammation,Neuroscience filter
  • Cancer,Immunotherapy,Neuroscience,Stem Cell (80) Apply Cancer,Immunotherapy,Neuroscience,Stem Cell filter
  • Immunotherapy,Inflammation (51) Apply Immunotherapy,Inflammation filter
  • Cancer,Non-coding RNA (48) Apply Cancer,Non-coding RNA filter
  • 4863 (41) Apply 4863 filter
  • Cancer, Neuroscience, Non-coding RNA (35) Apply Cancer, Neuroscience, Non-coding RNA filter
  • Inflammation,Neuroscience (33) Apply Inflammation,Neuroscience filter
  • HAdVC_gp16,HAdVCgp31 (32) Apply HAdVC_gp16,HAdVCgp31 filter
  • Cancer, Inflammation, Neuroscience, Non-coding RNA (31) Apply Cancer, Inflammation, Neuroscience, Non-coding RNA filter
  • Cancer,Immunotherapy,Inflammation,Stem Cell (30) Apply Cancer,Immunotherapy,Inflammation,Stem Cell filter
  • Inflammation, Non-coding RNA (30) Apply Inflammation, Non-coding RNA filter
  • Neuroscience, Non-coding RNA (29) Apply Neuroscience, Non-coding RNA filter
SALL4 mediates teratogenicity as a thalidomide-dependent cereblon substrate

Nat Chem Biol.

2018 Sep 06

Matyskiela ME, Couto S, Zheng X, Lu G, Hui J, Stamp K, Drew C, Ren Y, Wang M, Carpenter A, Lee CW, Clayton T, Fang W, Lu CC, Riley M, Abdubek P, Blease K, Hartke J, Kumar G, Vessey R, Rolfe M, Hamann LG, Chamberlain PP.
PMID: 30190590 | DOI: 10.1038/s41589-018-0129-x

Targeted protein degradation via small-molecule modulation of cereblon offers vast potential for the development of new therapeutics. Cereblon-binding therapeutics carry the safety risks of thalidomide, which caused an epidemic of severe birth defects characterized by forelimb shortening or phocomelia. Here we show that thalidomide is not teratogenic in transgenic mice expressing human cereblon, indicating that binding to cereblon is not sufficient to cause birth defects. Instead, we identify SALL4 as a thalidomide-dependent cereblon neosubstrate. Human mutations in SALL4 cause Duane-radial ray, IVIC, and acro-renal-ocular syndromes with overlapping clinical presentations to thalidomide embryopathy, including phocomelia. SALL4 is degraded in rabbits but not in resistant organisms such as mice because of SALL4 sequence variations. This work expands the scope of cereblon neosubstrate activity within the formerly 'undruggable' C2H2 zinc finger family and offers a path toward safer therapeutics through an improved understanding of the molecular basis of thalidomide-induced teratogenicity.

Stem cell functionality is microenvironmentally defined during tumour expansion and therapy response in colon cancer.

Nat Cell Biol.

2018 Sep 03

Lenos KJ, Miedema DM, Lodestijn SC, Nijman LE, van den Bosch T, Romero Ros X, Lourenço FC, Lecca MC, van der Heijden M, van Neerven SM, van Oort A, Leveille N, Adam RS, de Sousa E Melo F, Otten J, Veerman P, Hypolite G, Koens L, Lyons SK, Stassi G, Winton
PMID: 30177776 | DOI: 10.1038/s41556-018-0179-z

Solid malignancies have been speculated to depend on cancer stem cells (CSCs) for expansion and relapse after therapy. Here we report on quantitative analyses of lineage tracing data from primary colon cancer xenograft tissue to assess CSC functionality in a human solid malignancy. The temporally obtained clone size distribution data support a model in which stem cell function in established cancers is not intrinsically, but is entirely spatiotemporally orchestrated. Functional stem cells that drive tumour expansion predominantly reside at the tumour edge, close to cancer-associated fibroblasts. Hence, stem cell properties change in time depending on the cell location. Furthermore, although chemotherapy enriches for cells with a CSC phenotype, in this context functional stem cell properties are also fully defined by the microenvironment. To conclude, we identified osteopontin as a key cancer-associated fibroblast-produced factor that drives in situ clonogenicity in colon cancer.

Hepatic leptin receptor expression can partially compensate for IL-6Rα deficiency in DEN-induced hepatocellular carcinoma

Molecular Metabolism

2018 Sep 05

Mittenbühler MJ, Sprenger HG, Gruber S, Wunderlich CM, Kern L, Brüning JC, Wunderlich FT.
PMID: - | DOI: 10.1016/j.molmet.2018.08.010

Abstract

Objective

The current obesity pandemic represents a major health burden, given that it predisposes to the development of numerous obesity-associated disorders. The obesity-derived adipokines not only impair systemic insulin action but also increase the incidence of hepatocellular carcinoma (HCC), a highly prevalent cancer with poor prognosis. Thus, worldwide incidences of HCC are expected to further increase, and defining the molecular as well as cellular mechanisms will allow for establishing new potential treatment options. The adipose tissue of obese individuals increases circulating leptin and interleukin-6 (IL-6) levels, which both share similar signaling capacities such as Signal Transducer and Activator of Transcription 3 (STAT3) and Phosphoinositide 3-kinase (PI3K)/Akt activation. While mouse models with deficient IL-6 signaling show an ameliorated but not absent Diethylnitrosamine (DEN)-induced HCC development, the morbid obesity in mice with mutant leptin signaling complicates the dissection of hepatic leptin receptor (LEPR) and IL-6 signaling in HCC development. Here we have investigated the function of compensating hepatic LEPR expression in HCC development of IL-6Rα-deficient mice.

Methods

We generated and characterized a mouse model of hepatic LEPR deficiency that was intercrossed with IL-6Rα-deficient mice. Cohorts of single and double knockout mice were subjected to the DEN-HCC model to ascertain liver cancer development and characterize metabolic alterations.

Results

We demonstrate that both high-fat diet (HFD)-induced obesity and IL-6Rα deficiency induce hepatic Lepr expression. Consistently, double knockout mice show a further reduction in tumor burden in DEN-induced HCC when compared to control and single LepRL−KO/IL-6Rα knock out mice, whereas metabolism remained largely unaltered between the genotypes.

Conclusions

Our findings reveal a compensatory role for hepatic LEPR in HCC development of IL-6Rα-deficient mice and suggest hepatocyte-specific leptin signaling as promoter of HCC under obese conditions.

Preselection of lung cancer cases using FGFR1 mRNA and gene copy number for treatment with ponatinib.

Clinical Lung Cancer

2018 Sep 03

Ng TL, Yu H, Smith DE, Boyle TA, York ER, Leedy S, Gao D, Aisner DL, Van Bokhoven A, Heasley LE, Hirsch FR, Camidge DR.
PMID: - | DOI: 10.1016/j.cllc.2018.09.001

Abstract

Introduction

Pre-clinically, high FGFR1 mRNA (FGFR1-MRNA) and FGFR1 amplification (FGFR1-AMP) predicted sensitivity to FGFR inhibitors in NSCLC and SCLC cell lines. KRAS mutations did not preclude sensitivity.

Patients and Methods

Metastatic EGFR- and ALK-negative lung cancers were screened for FGFR1-MRNA by in-situ hybridization (ISH) and FGFR1-AMP by silver in-situ hybridization (SISH). Positive cases were offered ponatinib, a multi-kinase inhibitor of FGFR1-4. Differences in overall survival (OS) between cohorts were assessed using log-rank test. Association of FGFR1 positivity with clinicopathologic features were assessed using Fisher’s exact test and Kruskal-Wallis rank sum test.

Results

171 cases were prescreened: 9/123 (7.3%) SISH+; 53/126 (42.1%) ISH+; 6 cases concordantly positive for SISH and ISH. SISH+ cases had fewer coincident KRAS mutations (p=0.03) than SISH- cases, and ISH+ cases had worse OS (p=0.020) than ISH- cases. Data distributions suggested a distinct higher positivity cutpoint for FGFR1 ISH (≥20%), occurring in 23% [29/126] cases, was associated with SCLC histology (p=0.022), soft tissue metastases (p=0.050) and shorter OS (p=0.031). Four patients received ponatinib on study: All ISH+ by the initial cutpoint, 2/4 by higher cutpoint, 1/4 SISH+. Tolerability was poor. The best response for the two higher ISH cases was SD and PD for the two lower ISH cases.

Conclusions

Elevated FGFR1-MRNA is more common than FGFR1-AMP and associated with worse OS. Higher FGFR1 mRNA expression may be associated with a specific phenotype and is worthy of further exploration. Ponatinib’s poor tolerance suggests further FGFR exploration in ISH+ cases should utilize more selective FGFR1 inhibitors.

CACHD1 is an α2δ-like protein that modulates CaV3 voltage-gated calcium channel activity.

J Neurosci.

2018 Sep 04

Cottrell GS, Soubrane CH, Hounshell JA, Lin H, Owenson V, Rigby M, Cox PJ, Barker BS, Ottolini M, Ince S, Bauer CC, Perez-Reyes E, Patel MK, Stevens EB, Stephens GJ.
PMID: 30181139 | DOI: 10.1523/JNEUROSCI.3572-15.2018

The putative cache (Ca2+ channel and chemotaxis receptor) domain containing 1 (CACHD1) protein has predicted structural similarities to members of the α2δ voltage-gated Ca2+ channel (VGCC) auxiliary subunit family. CACHD1 mRNA and protein were highly expressed in the male mammalian CNS, in particular in the thalamus, hippocampus and cerebellum, with a broadly similar tissue distribution to CaV3 subunits, in particular, CaV3.1. In expression studies, CACHD1 increased cell-surface localization of CaV3.1 and these proteins were in close proximity at the cell surface consistent with the formation of CACHD1-CaV3.1 complexes. In functional electrophysiological studies, co-expression of human CACHD1 with CaV3.1, CaV3.2 and CaV3.3 caused a significant increase in peak current density and corresponding increases in maximal conductance. By contrast, α2δ-1 had no effect on peak current density or maximal conductance in either CaV3.1, CaV3.2 or CaV3.3. Comparison of CACHD1-mediated increases in CaV3.1 current density and gating currents revealed an increase in channel open probability. In hippocampal neurons from male and female E19 rats, CACHD1 overexpression increased CaV3-mediated action potential (AP) firing frequency and neuronal excitability. These data suggest that CACHD1 is structurally an α2δ-like protein that functionally modulates CaV3 voltage-gated calcium channel activity.SIGNIFICANCE STATEMENTThis is the first study to characterise the CACHD1 protein. CACHD1 is widely expressed in the CNS, in particular in the thalamus, hippocampus and cerebellum. CACHD1 distribution is similar to that of low-voltage-activated (CaV3, T-type) calcium channels, in particular to CaV3.1, a protein which regulates neuronal excitability and is a potential therapeutic target in conditions such as epilepsy and pain. CACHD1 is structurally a α2δ-like protein that functionally increases CaV3 calcium current. CACHD1 increases the presence of CaV3.1 at the cell surface, forms complexes with CaV3.1 at the cell-surface and causes an increase in channel open probability. In hippocampal neurons, CACHD1 causes increases in neuronal firing. Thus, CACHD1 represents a novel protein that modulates CaV3 activity.

Macrophages but not Astrocytes Harbor HIV DNA in the Brains of HIV-1-Infected Aviremic Individuals on Suppressive Antiretroviral Therapy.

J Neuroimmune Pharmacol.

2018 Sep 07

Ko A, Kang G, Hattler JB, Galadima HI, Zhang J, Li Q, Kim WK.
PMID: 30194646 | DOI: 10.1007/s11481-018-9809-2

The question of whether the human brain is an anatomical site of persistent HIV-1 infection during suppressive antiretroviral therapy (ART) is critical, but remains unanswered. The presence of virus in the brains of HIV patients whose viral load is effectively suppressed would demonstrate not only the potential for CNS to act as an anatomical HIV reservoir, but also the urgent need to understand the factors contributing to persistent HIV behind the blood-brain barrier. Here, we investigated for the first time the presence of cells harboring HIV DNA and RNA in the brains from subjects with undetectable plasma viral load and sustained viral suppression, as identified by the National NeuroAIDS Tissue Consortium. Using new, highly sensitive in situ hybridization techniques, RNAscope and DNAscope, in combination with immunohistochemistry, we were able to detect HIV-1 in the brains of all virally suppressed cases and found that brain macrophages and microglia, but not astrocytes, were the cells harboring HIV DNA in the brain. This study demonstrated that HIV reservoirs persist in brain macrophages/microglia during suppressive ART, which cure/treatment strategies will need to focus on targeting.

Cellular localization and regulation of receptors and enzymes of the endocannabinoid system in intestinal and systemic inflammation

Histochem Cell Biol.

2018 Sep 08

Grill M, Hasenoehrl C, Kienzl M, Kargl J, Schicho R.
PMID: 30196316 | DOI: 10.1007/s00418-018-1719-0

Surveys suggest that Cannabis provides benefit for people with inflammatory bowel disease. However, mechanisms underlying beneficial effects are not clear. We performed in situ hybridization RNAscope® combined with immunohistochemistry to show cell-specific distribution and regulation of cannabinoid receptor 1 and 2 (CB1, CB2), G protein-coupled receptor 55 (GPR55), and monoacylglycerol lipase (MGL) mRNA in immune cells using murine models of intestinal and systemic inflammation. In healthy animals, the presence in enteric ganglia is high for CB1 mRNA, but low for CB2 and GPR55 mRNAs. MGL mRNA is predominant throughout the intestinal wall including myenteric neurons, epithelium, circular and longitudinal muscular layers, and the lamina propria. Within the immune system, B220+ cells exhibit high gene expression for CB2 while the expression of CB2 in F4/80+ and CD3+ cells is less prominent. In contrast, GPR55 mRNA is highly present in F4/80+ and CD3+ cells. qRT-PCR of total colonic segments shows that the expression of GPR55 and MGL genes drops during intestinal inflammation. Also at cellular levels, GPR55 and MGL gene expression is reduced in F4/80+, but not CD3+ cells. As to systemic inflammation, reduced gene expression of MGL is observed in ileum by qRT-PCR, while at cellular levels, altered gene expression is also seen for CB1 and GPR55 in CD3+ but not F4/80+ cells. In summary, our study reveals changes in gene expression of members of the endocannabinoid system in situ attesting particularly GPR55 and MGL a distinct cellular role in the regulation of the immune response to intestinal and systemic inflammation.

Potential clinical implications of HPV status and expressions of p53 and cyclin D1 among oropharyngeal cancer patients.

J Oral Pathol Med.

2018 Sep 06

David Lu XJ, Liu KYP, Soares RC, Thomson T, Prisman E, Wu J, Poh CF.
PMID: 30191616 | DOI: 10.1111/jop.12779

Abstract

BACKGROUND:

There is increasing evidence that high-risk human papillomavirus plays significant role in oropharyngeal cancer; however, there is lack of knowledge on the interplay between the virus and its downstream related molecules and their possible prognostic values. The objectives of the study are to better understand the interplay of the HR-HPV and its associated downstream molecules and to evaluate potential biomarkers for patient outcomes.

METHODS:

We conducted a retrospective study with available formalin-fixed, paraffin-embedded tissue from 244 oropharyngeal cancer patients that received curative radiotherapy or concurrent chemoradiotherapy from 2000 to 2008. In addition to chart review, we performed HPV DNA and RNA in situ hybridization and immunohistochemistry for p53, the retinoblastoma protein, p16, and cyclin D1 analysis. Cox-proportional hazard and Kaplan-Meier survival analysis were used to determine the prognostic markers for clinical outcomes.

RESULTS:

Patients averaged 57.3±9.4 year-old and were mostly males (76.2%) and ever-smokers (76.2%). All patients received curative radiotherapy and 44.3% received concurrent chemoradiotherapy. We detected the human papillomavirus in 77.9% of study patients. Ever-smokers, more advanced tumor stage, and receiving radiotherapy only had poorer 5-year overall survival, disease-specific survival, and loco-regional recurrence. Cases with positive human papillomavirus and p53 overexpression had poorer disease-specific survival. Cases without human papillomavirus, but cyclin D1 overexpression, was associated with poorer 5-year overall survival.

CONCLUSIONS:

Our data suggests that additional p53 and cyclin D1 testing may benefit oropharyngeal cancer patients with known human papillomavirus status.

FGFR3 mRNA overexpression defines a subset of oligometastatic colorectal cancers with worse prognosis

Oncotarget.

2018 Aug 14

Fromme JE, Schmitz K, Wachter A, Grzelinski M, Zielinski D, Koppel C, Conradi LC, Homayounfar K, Hugo T, Hugo S, Lukat L, Rüschoff J, Ströbel P, Ghadimi M, Beißbarth T, Reuter-Jessen K, Bleckmann A, Schildhaus HU.
PMID: 30181810 | DOI: 10.18632/oncotarget.25941

Abstract

OBJECTIVES:

Metastatic colorectal cancer (CRC) remains a leading cause of cancer related deaths. Patients with oligometastatic liver disease represent a clinical subgroup with heterogeneous course. Until now, biomarkers to characterize outcome and therapeutic options have not been fully established.

METHODS:

We investigated the prevalence of FGFR alterations in a total of 140 primary colorectal tumors and 63 liver metastases of 55 oligometastatic CRC patients. FGF receptors (FGFR1-4) and their ligands (FGF3, 4 and 19) were analyzed for gene amplifications and rearrangements as well as for RNA overexpression in situ. Results were correlated with clinico-pathologic data and molecular subtypes.

RESULTS:

Primary tumors showed FGFR1 (6.3%) and FGF3,4,19 (2.2%) amplifications as well as FGFR1 (10.1%), FGFR2 (5.5%) and FGFR3 (16.2%) overexpression. In metastases, we observed FGFR1 amplifications (4.8%) as well as FGFR1 (8.5%) and FGFR3 (14.9%) overexpression. Neither FGFR2-4 amplifications nor gene rearrangements were observed. FGFR3 overexpression was significantly associated with shorter overall survival in metastases (mOS 19.9 vs. 47.4 months, HR=3.14, p=0.0152), but not in primary CRC (HR=1.01, p=0.985). Although rare, also FGFR1 amplification was indicative of worse outcome (mOS 12.6 vs. 47.4 months, HR=8.83, p=0.00111).

CONCLUSIONS:

We provide the so far most comprehensive analysis of FGFR alterations in primary and metastatic CRC. We describe FGFR3 overexpression in 15% of CRC patients with oligometastatic liver disease as a prognosticator for poor outcome. Recently FGFR3 overexpression has been shown to be a potential therapeutic target. Therefore, we suggest focusing on this subgroup in upcoming clinical trials with FGFR-targeted therapies.

Loss of solute carrier family 7 member 2 exacerbates inflammation-associated colon tumorigenesis

Oncogene.

2018 Sep 10

Coburn LA, Singh K, Asim M, Barry DP, Allaman MM, Al-Greene NT, Hardbower Dm, Polosukhina D, Williams CS, Delgado AG, Piazuelo MB, Washington MK, Gobert AP, Wilson KT.
PMID: 30202097 | DOI: 10.1038/s41388-018-0492-9

Solute carrier family 7 member 2 (SLC7A2, also known as CAT2) is an inducible transporter of the semi-essential amino acid L-arginine (L-Arg), which has been implicated in wound repair. We have reported that both SLC7A2 expression and L-Arg availability are decreased in colonic tissues from inflammatory bowel disease patients and that mice lacking Slc7a2 exhibit a more severe disease course when exposed to dextran sulfate sodium (DSS) compared to wild-type (WT) mice. Here, we present evidence that SLC7A2 plays a role in modulating colon tumorigenesis in the azoxymethane (AOM)-DSS model of colitis-associated carcinogenesis (CAC). SLC7A2 was localized predominantly to colonic epithelial cells in WT mice. Utilizing the AOM-DSS model, Slc7a2-/- mice had significantly increased tumor number, burden, and risk of high-grade dysplasia vs. WT mice. Tumors from Slc7a2-/- mice exhibited significantly increased levels of the proinflammatory cytokines/chemokines IL-1β, CXCL1, CXCL5, IL-3, CXCL2, CCL3, and CCL4, but decreased levels of IL-4, CXCL9, and CXCL10 compared to tumors from WT mice. This was accompanied by a shift toward pro-tumorigenic M2 macrophage activation in Slc7a2-deficient mice, as marked by increased colonic CD11b+F4/80+ARG1+ cells with no alteration in CD11b+F4/80+NOS2+ cells by flow cytometry and immunofluorescence microscopy. The shift toward M2 macrophage activation was confirmed in bone marrow-derived macrophages from Slc7a2-/- mice. In bone marrow chimeras between Slc7a2-/- and WT mice, the recipient genotype drove the CAC phenotype, suggesting the importance of epithelial SLC7A2 in abrogating neoplastic risk. These data reveal that SLC7A2 has a significant role in the protection from CAC in the setting of chronic colitis, and suggest that the decreased SLC7A2 in inflammatory bowel disease (IBD) may contribute to CAC risk. Strategies to enhance L-Arg availability by supplementing L-Arg and/or increasing L-Arg uptake could represent a therapeutic approach in IBD to reduce the substantial long-term risk of colorectal carcinoma.

Identification of novel mouse and rat CB1R isoforms and in silico modeling of human CB1R for peripheral cannabinoid therapeutics

Acta Pharmacol Sin.

2018 Sep 10

Liu QR, Huang NS, Qu H, O’Connell JF, Gonzalez-Mariscal I, Santa-Cruz-Calvo S, Doyle ME, Xi ZX, Wang Y, Onaivi ES, Egan J.
PMID: 30202012 | DOI: 10.1038/s41401-018-0152-1

Targeting peripheral CB1R is desirable for the treatment of metabolic syndromes without adverse neuropsychiatric effects. We previously reported a human hCB1b isoform that is selectively enriched in pancreatic beta-cells and hepatocytes, providing a potential peripheral therapeutic hCB1R target. It is unknown whether there are peripherally enriched mouse and rat CB1R (mCB1 and rCB1, respectively) isoforms. In this study, we found no evidence of peripherally enriched rodent CB1 isoforms; however, some mCB1R isoforms are absent in peripheral tissues. We show that the mouse Cnr1 gene contains six exons that are transcribed from a single promoter. We found that mCB1A is a spliced variant of extended exon 1 and protein-coding exon 6; mCB1B is a novel spliced variant containing unspliced exon 1, intron 1, and exon 2, which is then spliced to exon 6; and mCB1C is a spliced variant including all 6 exons. Using RNAscope in situ hybridization, we show that the isoforms mCB1A and mCB1B are expressed at a cellular level and colocalized in GABAergic neurons in the hippocampus and cortex. RT-qPCR reveals that mCB1A and mCB1B are enriched in the brain, while mCB1B is not expressed in the pancreas or the liver. Rat rCB1R isoforms are differentially expressed in primary cultured neurons, astrocytes, and microglia. We also investigated modulation of Cnr1 expression by insulin in vivo and carried out in silico modeling of CB1R with JD5037, a peripherally restricted CB1R inverse agonist, using the published crystal structure of hCB1R. The results provide models for future CB1R peripheral targeting.

VEGFA amplification/increased gene copy number and VEGFA mRNA expression in renal cell carcinoma with TFEB gene alterations

Mod Pathol.

2018 Sep 11

Caliò A, Brunelli M, Segala D, Pedron S, Doglioni C, Argani P, Martignoni G.
PMID: 30206412 | DOI: 10.1038/s41379-018-0128-1

Amplification of vascular endothelial growth factor A (VEGFA) has been recently reported in TFEB-amplified renal cell carcinomas regardless the level of TFEB amplification. We sought to determine VEGFA amplification by fluorescent in situ hybridization (FISH) and VEGFA mRNA expression by in situ hybridization (RNAscope 2.5) in a series of 10 renal cell carcinomas with TFEB gene alterations, either amplification and/or rearrangement (t(6;11) renal cell carcinoma). TFEB gene rearrangement was demonstrated in eight cases, whereas the remaining two cases showed a high level of TFEB (> 10 copies of fluorescent signals) gene amplification without evidence of rearrangement. Among the eight t(6;11) renal cell carcinomas (TFEB-rearranged cases), one case displayed a high level of TFEB gene amplification and two showed increased TFEB gene copy number (3-4 copies of fluorescent signals). Those three cases behaved aggressively. By FISH, VEGFA was amplified in all three cases with TFEB amplification and increased VEGFA gene copy number was observed in the two aggressive cases t(6;11) renal cell carcinomas with an overlapping increased number of TFEB fluorescent signals. Overall, VEGFA mRNA expression was observed in 8 of 10 cases (80%); of these 8 cases, 3 cases showed high-level TFEB amplification, one case showed TFEB rearrangement with increased TFEB gene copy number, whereas four showed TFEB gene rearrangement without increased copy number. In summary, VEGFA amplification/increased gene copy number and VEGFA mRNA expression occur in TFEB-amplified renal cell carcinoma, but also in a subset of t(6;11) renal cell carcinoma demonstrating aggressive behavior, and in unamplified conventional t(6;11) renal cell carcinoma suggesting VEGFA as potential therapeutic target in these neoplasms even in the absence of TFEB amplification. We finally propose that all the renal tumors showing morphological characteristics suggesting t(6;11) renal cell carcinoma and all unclassified renal cell carcinomas, either high grade or low grade, should immunohistochemically be evaluated for cathepsin K and/or Melan-A and if one of them is positive, tested for TFEB gene alteration and VEGFA gene amplification.

Pages

  • « first
  • ‹ previous
  • …
  • 130
  • 131
  • 132
  • 133
  • 134
  • 135
  • 136
  • 137
  • 138
  • …
  • 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?