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

Search form

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

You have no items in your shopping cart.

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

Probes for INS

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

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

    Refine Probe List

    Content for comparison

    Gene

    • TBD (108) Apply TBD filter
    • HPV E6/E7 (75) Apply HPV E6/E7 filter
    • Lgr5 (61) Apply Lgr5 filter
    • PD-L1 (25) Apply PD-L1 filter
    • HPV-HR18 (20) Apply HPV-HR18 filter
    • Axin2 (19) Apply Axin2 filter
    • HPV (19) Apply HPV filter
    • GLI1 (15) Apply GLI1 filter
    • HER2 (15) Apply HER2 filter
    • FGFR1 (13) Apply FGFR1 filter
    • MALAT1 (12) Apply MALAT1 filter
    • CD68 (11) Apply CD68 filter
    • Ifng (10) Apply Ifng filter
    • MYC (10) Apply MYC filter
    • CXCL10 (9) Apply CXCL10 filter
    • OLFM4 (9) Apply OLFM4 filter
    • AR-V7 (8) Apply AR-V7 filter
    • EBER1 (8) Apply EBER1 filter
    • CD274 (7) Apply CD274 filter
    • ETV1 (7) Apply ETV1 filter
    • GREM1 (7) Apply GREM1 filter
    • HOTAIR (7) Apply HOTAIR filter
    • OLFM4 (7) Apply OLFM4 filter
    • TERT (7) Apply TERT filter
    • HPV HR18 (7) Apply HPV HR18 filter
    • AR (6) Apply AR filter
    • BRCA1 (6) Apply BRCA1 filter
    • (-) Remove CD3E filter CD3E (6)
    • CD4 (6) Apply CD4 filter
    • MET (6) Apply MET filter
    • CSF1 (6) Apply CSF1 filter
    • Ccl2 (6) Apply Ccl2 filter
    • Ptch1 (6) Apply Ptch1 filter
    • FGFR2 (6) Apply FGFR2 filter
    • Vegfa (6) Apply Vegfa filter
    • PDGFRA (6) Apply PDGFRA filter
    • CXCL12 (6) Apply CXCL12 filter
    • HPV18 (6) Apply HPV18 filter
    • Il-6 (6) Apply Il-6 filter
    • CD3 (6) Apply CD3 filter
    • SOX2 (5) Apply SOX2 filter
    • EGFR (5) Apply EGFR filter
    • ESR1 (5) Apply ESR1 filter
    • DUSP6 (5) Apply DUSP6 filter
    • MDM2 (5) Apply MDM2 filter
    • MKI67 (5) Apply MKI67 filter
    • NOTUM (5) Apply NOTUM filter
    • PTEN (5) Apply PTEN filter
    • Cxcl1 (5) Apply Cxcl1 filter
    • HPV16 (5) Apply HPV16 filter

    Product

    • RNAscope (2) Apply RNAscope filter
    • RNAscope 2.5 LS Assay (2) Apply RNAscope 2.5 LS Assay filter
    • RNAscope 2.5 HD Brown Assay (1) Apply RNAscope 2.5 HD Brown Assay filter
    • RNAscope 2.5 HD Duplex (1) Apply RNAscope 2.5 HD Duplex filter
    • RNAscope Fluorescent Multiplex Assay (1) Apply RNAscope Fluorescent Multiplex Assay filter

    Research area

    • (-) Remove Cancer filter Cancer (7)
    • Immunotherapy (3) Apply Immunotherapy filter
    • T-cell therapies (1) Apply T-cell therapies filter

    Category

    • Publications (7) Apply Publications filter
    Preclinical proof of concept for VivoVec, a lentiviral-based platform for in vivo CAR T-cell engineering

    Journal for immunotherapy of cancer

    2023 Mar 01

    Michels, KR;Sheih, A;Hernandez, SA;Brandes, AH;Parrilla, D;Irwin, B;Perez, AM;Ting, HA;Nicolai, CJ;Gervascio, T;Shin, S;Pankau, MD;Muhonen, M;Freeman, J;Gould, S;Getto, R;Larson, RP;Ryu, BY;Scharenberg, AM;Sullivan, AM;Green, S;
    PMID: 36918221 | DOI: 10.1136/jitc-2022-006292

    Chimeric antigen receptor (CAR) T-cell therapies have demonstrated transformational outcomes in the treatment of B-cell malignancies, but their widespread use is hindered by technical and logistical challenges associated with ex vivo cell manufacturing. To overcome these challenges, we developed VivoVec, a lentiviral vector-based platform for in vivo engineering of T cells. UB-VV100, a VivoVec clinical candidate for the treatment of B-cell malignancies, displays an anti-CD3 single-chain variable fragment (scFv) on the surface and delivers a genetic payload that encodes a second-generation CD19-targeted CAR along with a rapamycin-activated cytokine receptor (RACR) system designed to overcome the need for lymphodepleting chemotherapy in supporting successful CAR T-cell expansion and persistence. In the presence of exogenous rapamycin, non-transduced immune cells are suppressed, while the RACR system in transduced cells converts rapamycin binding to an interleukin (IL)-2/IL-15 signal to promote proliferation.UB-VV100 was administered to peripheral blood mononuclear cells (PBMCs) from healthy donors and from patients with B-cell malignancy without additional stimulation. Cultures were assessed for CAR T-cell transduction and function. Biodistribution was evaluated in CD34-humanized mice and in canines. In vivo efficacy was evaluated against normal B cells in CD34-humanized mice and against systemic tumor xenografts in PBMC-humanized mice.In vitro, administration of UB-VV100 resulted in dose-dependent and anti-CD3 scFv-dependent T-cell activation and CAR T-cell transduction. The resulting CAR T cells exhibited selective expansion in rapamycin and antigen-dependent activity against malignant B-cell targets. In humanized mouse and canine studies, UB-VV100 demonstrated a favorable biodistribution profile, with transduction events limited to the immune compartment after intranodal or intraperitoneal administration. Administration of UB-VV100 to humanized mice engrafted with B-cell tumors resulted in CAR T-cell transduction, expansion, and elimination of systemic malignancy.These findings demonstrate that UB-VV100 generates functional CAR T cells in vivo, which could expand patient access to CAR T technology in both hematological and solid tumors without the need for ex vivo cell manufacturing.
    Sensory Neurotransmitter CGRP Modulates Oral Cancer Growth and Cancer-associated Immune Response

    The Journal of Pain

    2022 May 01

    McIlvried, L;Atherton, M;Horan, N;Goch, T;Scheff, N;
    | DOI: 10.1016/j.jpain.2022.03.029

    Head and neck squamous cell carcinoma (HNSCC) induces severe pain due in part to activation of primary afferent neurons by cancer-secreted mediators. Local neurotransmitter release (e.g., calcitonin gene-related peptide (CGRP)) from trigeminal neurons innervating the cancer has been linked to tumorigenesis. We hypothesize that CGRP exerts a dual effect on both cancer-associated pain and tumor progression, suggesting that CGRP may be a promising therapeutic target in HNSCC treatment. We used human tumor tissue and patient-reported outcomes to explore the relationship between CGRP+ sensory nerve innervation and cancer pain in patients. To determine CGRP receptor expression on tumor cells, immunohistochemistry and PCR were performed on human and mouse oral cancer cell lines. We used a syngeneic tongue tumor transplant mouse model of oral cancer and a global Calca knockout mouse (i.e. CGRP-KO) to investigate the impact of CGRP signaling on tumor growth and the associate immune response in vivo. We found prominent CGRP-immunoreactive sensory nerve presence innervating human HNSCC tumor tissue, which positively correlated to patient-reported pain (r2=0.357). Furthermore, human HNSCC cell lines expressed 3-fold more CGRP receptor, RAMP1, compared to a non-tumorigenic keratinocyte cell line. In tumor-bearing CGRP-KO mice, we found a significant reduction in tumor size at post-inoculation days 7 and 14 compared to wildtype. We also found a 4-fold increase in tumor infiltrating RAMP1-expressing CD4+ T cells, as well as a 5-fold increase cytotoxic CD8+ T cells and NK1.1+ NK cells in tumor tissue CGRP-KO mice compared to wildtype. This preliminary data suggests that CGRP signaling from sensory neurons may increase cancer associated pain and tumor progression. Further knowledge regarding the relationship between sensory neurons and cancer could allow for the repurposing clinically available nervous system drugs (e.g., anti-CGRP antibodies) for the treatment of cancer and cancer pain. Grant support from the Rita Allen Foundation.
    iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-Cell RNAseq Data and Differentiate Cell Type-Specific Markers of Immune-Cell Infiltration

    Cancer immunology research

    2023 Apr 06

    Turan, T;Kongpachith, S;Halliwill, K;McLaughlin, RT;Binnewies, M;Reddy, D;Zhao, X;Mathew, R;Ye, S;Jacob, HJ;Samayoa, J;
    PMID: 37023414 | DOI: 10.1158/2326-6066.CIR-22-0283

    The development of immune checkpoint-based immunotherapies has been a major advancement in the treatment of cancer, with a subset of patients exhibiting durable clinical responses. A predictive biomarker for immunotherapy response is the pre-existing T-cell infiltration in the tumor immune microenvironment (TIME). Bulk transcriptomics-based approaches can quantify the degree of T-cell infiltration using deconvolution methods and identify additional markers of inflamed/cold cancers at the bulk level. However, bulk techniques are unable to identify biomarkers of individual cell types. Although single-cell RNA sequencing (scRNAseq) assays are now being used to profile the TIME, to our knowledge there is no method of identifying patients with a T-cell inflamed TIME from scRNAseq data. Here, we describe a method, iBRIDGE, which integrates reference bulk RNAseq data with the malignant subset of scRNAseq datasets to identify patients with a T-cell inflamed TIME. Utilizing two datasets with matched bulk data, we show iBRIDGE results correlated highly with bulk assessments (0.85 and 0.9 correlation coefficients). Using iBRIDGE, we identified markers of inflamed phenotypes in malignant cells, myeloid cells, and fibroblasts, establishing type I and type II interferon pathways as dominant signals, especially in malignant and myeloid cells, and finding the TGFβ-driven mesenchymal phenotype not only in fibroblasts but also in malignant cells. Besides relative classification, per-patient average iBRIDGE scores and independent RNAScope quantifications were utilized for threshold-based absolute classification. Moreover, iBRIDGE can be applied to in vitro grown cancer cell lines and can identify the cell lines that are adapted from inflamed/cold patient tumors.
    Microtubule-Driven Stress Granule Dynamics Regulate Inhibitory Immune Checkpoint Expression in T Cells.

    Cell Rep. 2019 Jan 2;26(1):94-107.e7.

    2019 Jan 02

    Franchini DM, Lanvin O, Tosolini M, Patras de Campaigno E, Cammas A, Péricart S, Scarlata CM, Lebras M, Rossi C, Ligat L, Pont F, Arimondo PB, Laurent C, Ayyoub M, Despas F, Lapeyre-Mestre M, Millevoi S, Fournié JJ.
    PMID: 30605689 | DOI: 10.1016/j.celrep.2018.12.014

    Despite the clinical success of blocking inhibitory immune checkpoint receptors such as programmed cell death-1 (PD-1) in cancer, the mechanisms controlling the expression of these receptors have not been fully elucidated. Here, we identify a post-transcriptional mechanism regulating PD-1 expression in T cells. Upon activation, the PDCD1 mRNA and ribonucleoprotein complexes coalesce into stress granules that require microtubules and the kinesin 1 molecular motor to proceed to translation. Hence, PD-1 expression is highly sensitive to microtubule or stress granule inhibitors targeting this pathway. Evidence from healthy donors and cancer patients reveals a common regulation for the translation of CTLA4, LAG3, TIM3, TIGIT, and BTLA but not of the stimulatory co-receptors OX40, GITR, and 4-1BB mRNAs. In patients, disproportionality analysis of immune-related adverse events for currently used microtubule drugs unveils a significantly higher risk of autoimmunity. Our findings reveal a fundamental mechanism of immunoregulation with great importance in cancer immunotherapy.
    Biomarker correlates with response to NY-ESO-1 TCR T cells in patients with synovial sarcoma

    Nature communications

    2022 Sep 08

    Gyurdieva, A;Zajic, S;Chang, YF;Houseman, EA;Zhong, S;Kim, J;Nathenson, M;Faitg, T;Woessner, M;Turner, DC;Hasan, AN;Glod, J;Kaplan, RN;D'Angelo, SP;Araujo, DM;Chow, WA;Druta, M;Demetri, GD;Van Tine, BA;Grupp, SA;Fine, GD;Eleftheriadou, I;
    PMID: 36075914 | DOI: 10.1038/s41467-022-32491-x

    Autologous T cells transduced to express a high affinity T-cell receptor specific to NY-ESO-1 (letetresgene autoleucel, lete-cel) show promise in the treatment of metastatic synovial sarcoma, with 50% overall response rate. The efficacy of lete-cel treatment in 45 synovial sarcoma patients (NCT01343043) has been previously reported, however, biomarkers predictive of response and resistance remain to be better defined. This post-hoc analysis identifies associations of response to lete-cel with lymphodepleting chemotherapy regimen (LDR), product attributes, cell expansion, cytokines, and tumor gene expression. Responders have higher IL-15 levels pre-infusion (p = 0.011) and receive a higher number of transduced effector memory (CD45RA- CCR7-) CD8 + cells per kg (p = 0.039). Post-infusion, responders have increased IFNγ, IL-6, and peak cell expansion (p < 0.01, p < 0.01, and p = 0.016, respectively). Analysis of tumor samples post-treatment illustrates lete-cel infiltration and a decrease in expression of macrophage genes, suggesting remodeling of the tumor microenvironment. Here we report potential predictive and pharmacodynamic markers of lete-cel response that may inform LDR, cell dose, and strategies to enhance anticancer efficacy.
    Autophagy inhibition by targeting PIKfyve potentiates response to immune checkpoint blockade in prostate cancer

    Nature Cancer

    2021 Aug 02

    Qiao, Y;Choi, J;Tien, J;Simko, S;Rajendiran, T;Vo, J;Delekta, A;Wang, L;Xiao, L;Hodge, N;Desai, P;Mendoza, S;Juckette, K;Xu, A;Soni, T;Su, F;Wang, R;Cao, X;Yu, J;Kryczek, I;Wang, X;Wang, X;Siddiqui, J;Wang, Z;Bernard, A;Fernandez-Salas, E;Navone, N;Ellison, S;Ding, K;Eskelinen, E;Heath, E;Klionsky, D;Zou, W;Chinnaiyan, A;
    | DOI: 10.1038/s43018-021-00237-1

    (A) Myc-CaP wild-type (WT) and _Atg5_ knockout (_Atg5_ KO) cells were treated with increasing concentrations of ESK981 for 24 hours. Atg5 and LC3 levels were assessed by western blot from three independent experiments. GAPDH served as a loading control. (B) Representative morphology of vacuolization in Myc-CaP wild-type (WT) and _Atg5_ knockout (_Atg5_ KO) cells after treatment with control or 100 nM ESK981 for 24 hours from three independent experiments. (C) Autophagosome content of Myc-CaP WT and _Atg5_ KO cells were measured by CYTO-ID assay after being treated with increasing concentrations of ESK981 for 24 hours. Data were analyzed by two-tailed unpaired t test from three independent experiments and presented as mean ± SEM. P-value indicated. (D) Mouse cytokine array using Myc-CaP WT and _Atg5_ KO cell supernatant after treatment with 10 ng/ml mouse interferon gamma (mIFNγ) or mIFNγ + 100 nM ESK981 for 24 hours. Differential expression candidate dots are highlighted by boxes. (E) Mouse CXCL10 protein levels were measured by ELISA in Myc-CaP WT and _Atg5_ KO conditioned medium with the indicated treatment for 24 hours. Data were analyzed by two-tailed unpaired t test from three independent experiments and presented as mean ± SEM. P-value indicated. (F) mRNA levels of _Cxcl10_ and _Cxcl9_ were measured by qPCR in Myc-CaP WT and _Atg5_ KO cells with 50 nM or 100 nM ESK981 and 10 ng/ml mIFNγ treatment for 24 hours. Data were analyzed by two-tailed unpaired t test from three independent experiments and presented as mean ± SEM. P-value indicated.
    Spatially organized multicellular immune hubs in human colorectal cancer

    Cell

    2021 Aug 24

    Pelka, K;Hofree, M;Chen, JH;Sarkizova, S;Pirl, JD;Jorgji, V;Bejnood, A;Dionne, D;Ge, WH;Xu, KH;Chao, SX;Zollinger, DR;Lieb, DJ;Reeves, JW;Fuhrman, CA;Hoang, ML;Delorey, T;Nguyen, LT;Waldman, J;Klapholz, M;Wakiro, I;Cohen, O;Albers, J;Smillie, CS;Cuoco, MS;Wu, J;Su, MJ;Yeung, J;Vijaykumar, B;Magnuson, AM;Asinovski, N;Moll, T;Goder-Reiser, MN;Applebaum, AS;Brais, LK;DelloStritto, LK;Denning, SL;Phillips, ST;Hill, EK;Meehan, JK;Frederick, DT;Sharova, T;Kanodia, A;Todres, EZ;Jané-Valbuena, J;Biton, M;Izar, B;Lambden, CD;Clancy, TE;Bleday, R;Melnitchouk, N;Irani, J;Kunitake, H;Berger, DL;Srivastava, A;Hornick, JL;Ogino, S;Rotem, A;Vigneau, S;Johnson, BE;Corcoran, RB;Sharpe, AH;Kuchroo, VK;Ng, K;Giannakis, M;Nieman, LT;Boland, GM;Aguirre, AJ;Anderson, AC;Rozenblatt-Rosen, O;Regev, A;Hacohen, N;
    PMID: 34450029 | DOI: 10.1016/j.cell.2021.08.003

    Immune responses to cancer are highly variable, with mismatch repair-deficient (MMRd) tumors exhibiting more anti-tumor immunity than mismatch repair-proficient (MMRp) tumors. To understand the rules governing these varied responses, we transcriptionally profiled 371,223 cells from colorectal tumors and adjacent normal tissues of 28 MMRp and 34 MMRd individuals. Analysis of 88 cell subsets and their 204 associated gene expression programs revealed extensive transcriptional and spatial remodeling across tumors. To discover hubs of interacting malignant and immune cells, we identified expression programs in different cell types that co-varied across tumors from affected individuals and used spatial profiling to localize coordinated programs. We discovered a myeloid cell-attracting hub at the tumor-luminal interface associated with tissue damage and an MMRd-enriched immune hub within the tumor, with activated T cells together with malignant and myeloid cells expressing T cell-attracting chemokines. By identifying interacting cellular programs, we reveal the logic underlying spatially organized immune-malignant cell networks.
    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?