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 (38)
  • Image gallery (0)
Refine Probe List

Content for comparison

Gene

  • TBD (1413) Apply TBD filter
  • Lgr5 (151) Apply Lgr5 filter
  • SARS-CoV-2 (136) Apply SARS-CoV-2 filter
  • Gad1 (90) Apply Gad1 filter
  • vGlut2 (80) Apply vGlut2 filter
  • HPV E6/E7 (78) Apply HPV E6/E7 filter
  • Slc17a6 (77) Apply Slc17a6 filter
  • Axin2 (74) Apply Axin2 filter
  • SLC32A1 (74) Apply SLC32A1 filter
  • FOS (73) Apply FOS filter
  • Sst (65) Apply Sst filter
  • TH (63) Apply TH filter
  • VGAT (58) Apply VGAT filter
  • Gad2 (54) Apply Gad2 filter
  • tdTomato (54) Apply tdTomato filter
  • DRD2 (53) Apply DRD2 filter
  • Slc17a7 (52) Apply Slc17a7 filter
  • GLI1 (51) Apply GLI1 filter
  • PVALB (47) Apply PVALB filter
  • egfp (46) Apply egfp filter
  • ZIKV (46) Apply ZIKV filter
  • DRD1 (42) Apply DRD1 filter
  • GFAP (39) Apply GFAP filter
  • COL1A1 (38) Apply COL1A1 filter
  • Crh (37) Apply Crh filter
  • Chat (37) Apply Chat filter
  • V-nCoV2019-S (37) Apply V-nCoV2019-S filter
  • Pomc (34) Apply Pomc filter
  • PDGFRA (33) Apply PDGFRA filter
  • Il-6 (33) Apply Il-6 filter
  • Cre (33) Apply Cre filter
  • AGRP (32) Apply AGRP filter
  • PECAM1 (32) Apply PECAM1 filter
  • Npy (32) Apply Npy filter
  • Wnt5a (31) Apply Wnt5a filter
  • CXCL10 (31) Apply CXCL10 filter
  • GLP1R (31) Apply GLP1R filter
  • Sox9 (29) Apply Sox9 filter
  • (-) Remove CD68 filter CD68 (28)
  • 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 Multiplex Fluorescent Assay (8) Apply RNAscope Multiplex Fluorescent Assay filter
  • RNAscope (7) Apply RNAscope filter
  • RNAscope 2.0 Assay (4) Apply RNAscope 2.0 Assay filter
  • RNAscope 2.5 LS Assay (3) Apply RNAscope 2.5 LS Assay filter
  • RNAscope 2.5 VS Assay (3) Apply RNAscope 2.5 VS Assay filter
  • RNAscope 2.5 HD Brown Assay (2) Apply RNAscope 2.5 HD Brown Assay filter
  • RNAscope 2.5 HD Duplex (2) Apply RNAscope 2.5 HD Duplex filter
  • RNAscope 2.5 HD Red assay (2) Apply RNAscope 2.5 HD Red assay filter
  • RNAscope Multiplex Fluorescent v2 (1) Apply RNAscope Multiplex Fluorescent v2 filter

Research area

  • Cancer (18) Apply Cancer filter
  • Inflammation (6) Apply Inflammation filter
  • Covid (4) Apply Covid filter
  • Neuroscience (3) Apply Neuroscience filter
  • Other (3) Apply Other filter
  • Infectious (2) Apply Infectious filter
  • Development (1) Apply Development filter
  • Fibrosis (1) Apply Fibrosis filter
  • Immunotherapy (1) Apply Immunotherapy filter
  • Infectious Disease (1) Apply Infectious Disease filter
  • Lung fibrosis (1) Apply Lung fibrosis filter
  • Metabolism (1) Apply Metabolism filter
  • Neuropathic pain (1) Apply Neuropathic pain filter
  • Obesity (1) Apply Obesity filter
  • Other: Biotehcnology (1) Apply Other: Biotehcnology filter
  • Other: Endocrinology (1) Apply Other: Endocrinology filter
  • Other: Heart (1) Apply Other: Heart filter
  • Other: Lung (1) Apply Other: Lung filter
  • Racial Bias (1) Apply Racial Bias filter
  • Skeletal Muscles (1) Apply Skeletal Muscles filter
  • Spatial Biology (1) Apply Spatial Biology filter
  • Spatial Molecular Imaging (1) Apply Spatial Molecular Imaging filter
  • Stem Cells (1) Apply Stem Cells filter
  • T-cell therapies (1) Apply T-cell therapies filter

Category

  • Publications (38) Apply Publications filter
Telomerase is required for glomerular renewal in kidneys of adult mice

NPJ Regenerative medicine

2022 Feb 11

Montandon, M;Hamidouche, T;Yart, L;Duret, LC;Pons, C;Soubeiran, N;Pousse, M;Cervera, L;Vial, V;Fassy, J;Croce, O;Gilson, E;Shkreli, M;
PMID: 35149726 | DOI: 10.1038/s41536-022-00212-z

Homeostatic renal filtration relies on the integrity of podocytes, which function in glomerular filtration. These highly specialized cells are damaged in 90% of chronic kidney disease, representing the leading cause of end-stage renal failure. Although modest podocyte renewal has been documented in adult mice, the mechanisms regulating this process remain largely unknown and controversial. Using a mouse model of Adriamycin-induced nephropathy, we find that the recovery of filtration function requires up-regulation of the endogenous telomerase component TERT. Previous work has shown that transient overexpression of catalytically inactive TERT (i-TERTci mouse model) has an unexpected role in triggering dramatic podocyte proliferation and renewal. We therefore used this model to conduct specific and stochastic lineage-tracing strategies in combination with high throughput sequencing methods. These experiments provide evidence that TERT drives the activation and clonal expansion of podocyte progenitor cells. Our findings demonstrate that the adult kidney bears intrinsic regenerative capabilities involving the protein component of telomerase, paving the way for innovative research toward the development of chronic kidney disease therapeutics.
Acinar cell clonal expansion in pancreas homeostasis and carcinogenesis

Nature

2021 Sep 01

Neuhöfer, P;Roake, CM;Kim, SJ;Lu, RJ;West, RB;Charville, GW;Artandi, SE;
PMID: 34526722 | DOI: 10.1038/s41586-021-03916-2

Pancreatic ductal adenocarcinoma (PDAC) is one of the leading causes of cancer deaths worldwide1. Studies in human tissues and in mouse models have suggested that for many cancers, stem cells sustain early mutations driving tumour development2,3. For the pancreas, however, mechanisms underlying cellular renewal and initiation of PDAC remain unresolved. Here, using lineage tracing from the endogenous telomerase reverse transcriptase (Tert) locus, we identify a rare TERT-positive subpopulation of pancreatic acinar cells dispersed throughout the exocrine compartment. During homeostasis, these TERThigh acinar cells renew the pancreas by forming expanding clones of acinar cells, whereas randomly marked acinar cells do not form these clones. Specific expression of mutant Kras in TERThigh acinar cells accelerates acinar clone formation and causes transdifferentiation to ductal pre-invasive pancreatic intraepithelial neoplasms by upregulating Ras-MAPK signalling and activating the downstream kinase ERK (phospho-ERK). In resected human pancreatic neoplasms, we find that foci of phospho-ERK-positive acinar cells are common and frequently contain activating KRAS mutations, suggesting that these acinar regions represent an early cancer precursor lesion. These data support a model in which rare TERThigh acinar cells may sustain KRAS mutations, driving acinar cell expansion and creating a field of aberrant cells initiating pancreatic tumorigenesis.
Latent Membrane Protein 1 and macrophage-derived TNFα synergistically activate and mobilize invadopodia to drive invasion of nasopharyngeal carcinoma

The Journal of pathology

2022 Nov 24

Tang, WC;Tsao, SW;Jones, GE;Liu, X;Tsai, MH;Delecluse, HJ;Dai, W;You, C;Zhang, J;Huang, SCM;Leung, MM;Liu, T;Ching, YP;Chen, H;Lo, KW;Li, X;Tsang, CM;
PMID: 36420735 | DOI: 10.1002/path.6036

Invadopodia are actin-rich membrane protrusions that digest the matrix barrier during cancer metastasis. Since the discovery of invadopodia, they were visualized as localized and dot-like structures in different types of cancer cells on top of a 2D matrix. In this investigation of Epstein-Barr virus (EBV)-associated nasopharyngeal carcinoma (NPC), a highly invasive cancer frequently accompanied by neck lymph node and distal organ metastases, we revealed a new form of invadopodium with mobilizing features. Integration of live-cell imaging and molecular assays revealed the interaction of macrophage-released TNFα and EBV-encoded latent membrane protein 1 (LMP1) in co-activating the EGFR/Src/ERK/cortactin and Cdc42/N-WASP signaling axes for mobilizing the invadopodia with lateral movements. This phenomenon endows the invadopodia with massive degradative power, visualized as a shift of focal dot-like digestion patterns on a 2D gelatin to a dendrite-like digestion pattern. Notably, single stimulation of either LMP1 or TNFα could only enhance the number of ordinary dot-like invadopodia, suggesting that the EBV infection sensitizes the NPC cells to form mobilizing invadopodia when encountering a TNFα-rich tumor microenvironment. This study unveils the interplay of EBV and stromal components in driving the invasive potential of NPC via unleashing the propulsion of invadopodia in overcoming matrix hurdles. This article is protected by
Cell tropism and viral clearance during SARS-CoV-2 lung infection

Pathology - Research and Practice

2022 Jun 01

Schwab, C;Domke, L;Rose, F;Hausser, I;Schirmacher, P;Longerich, T;
| DOI: 10.1016/j.prp.2022.154000

Pulmonary capillary microthrombosis has been proposed as a major pathogenetic factor driving severe COVID-19. Autopsy studies reported endothelialitis but it is under debate if it is caused by SARS-CoV-2 infection of endothelial cells. In this study, RNA in situ hybridization was used to detect viral RNA and to identify the infected cell types in lung tissue of 40 patients with fatal COVID-19. SARS-CoV-2 Spike protein-coding RNA showed a steadily decreasing signal abundance over a period of three weeks. Besides the original virus strain the variants of concern Alpha (B.1.1.7), Delta (B.1.617.2), and Omicron (B.1.1.529) could also be detected by the assay. Viral RNA was mainly detected in alveolar macrophages and pulmonary epithelial cells, while only single virus-positive endothelial cells were observed even in cases with high viral load suggesting that viral infection of endothelial cells is not a key factor for the development of pulmonary capillary microthrombosis.
EPEN-06. Comprehensive profiling of myxopapillary ependymomas identifies a distinct molecular subtype with relapsing disease

Neuro-Oncology

2022 Jun 03

Bockmayr, M;Harnisch, K;Pohl, L;Schweizer, L;Mohme, T;Körner, M;Alawi, M;Suwala, A;Dorostkar, M;Monoranu, C;Hasselblatt, M;Wefers, A;Capper, D;Hench, J;Frank, S;Richardson, T;Tran, I;Liu, E;Snuderl, M;Engertsberger, L;Benesch, M;von Deimling, A;Obrecht, D;Mynarek, M;Rutkowski, S;Glatzel, M;Neumann, J;Schüller, U;
| DOI: 10.1093/neuonc/noac079.143

Myxopapillary ependymoma (MPE) is a heterogeneous disease regarding histopathology and outcome. The underlying molecular biology is poorly understood, and markers that reliably predict the patients’ clinical course are unknown. We assembled a cohort of 185 tumors classified as MPE based on DNA methylation from pediatric, adolescent, and adult patients. Methylation patterns, copy number profiles, and MGMT promoter methylation were analyzed for all tumors, 106 tumors were evaluated histomorphologically, and RNA sequencing was performed for 37 cases. Based on methylation profiling, we defined two subtypes MPE-A and MPEB, and explored associations with epidemiological, clinical, pathological, and molecular characteristics of these tumors. Tumors in the methylation class MPE were histologically diagnosed as WHO grade I (59%), WHO grade II (37%), or WHO grade III tumors (4%). 75/77 analyzed tumors expressed HOXB13, which is a diagnostic feature not detected in other spinal ependymal tumors. Based on DNA methylation, our series split into two subtypes. MPE-A occurred in younger patients (median age 27 vs. 45 years, p=7.3e-05). They were enriched with WHO grade I tumors and associated with papillary morphology and MGMT promoter hypermethylation (all p<0.001). MPE-B included most tumors initially diagnosed as WHO grade II and cases with tanycytic morphology. Copy number alterations were more common in MPE-A. RNA sequencing revealed an enrichment for extracellular matrix and immune system-related signatures in MPE-A. 15/30 MPE-A could not be totally resected compared to 1/58 MPE-B (p=6.3e-08), and progression-free survival was significantly better for MPE-B (p=3.4e-06, 10-year relapse rate 33% vs. 85%). We unraveled the morphological and clinical heterogeneity of MPE by identifying two molecularly distinct subtypes. These subtypes significantly differed in progression-free survival and will likely need different protocols for surveillance and treatment.
A pigtailed macaque model of Kyasanur Forest disease virus and Alkhurma hemorrhagic disease virus pathogenesis

PLoS pathogens

2021 Dec 01

Broeckel, RM;Feldmann, F;McNally, KL;Chiramel, AI;Sturdevant, GL;Leung, JM;Hanley, PW;Lovaglio, J;Rosenke, R;Scott, DP;Saturday, G;Bouamr, F;Rasmussen, AL;Robertson, SJ;Best, SM;
PMID: 34855915 | DOI: 10.1371/journal.ppat.1009678

Kyasanur Forest disease virus (KFDV) and the closely related Alkhurma hemorrhagic disease virus (AHFV) are emerging flaviviruses that cause severe viral hemorrhagic fevers in humans. Increasing geographical expansion and case numbers, particularly of KFDV in southwest India, class these viruses as a public health threat. Viral pathogenesis is not well understood and additional vaccines and antivirals are needed to effectively counter the impact of these viruses. However, current animal models of KFDV pathogenesis do not accurately reproduce viral tissue tropism or clinical outcomes observed in humans. Here, we show that pigtailed macaques (Macaca nemestrina) infected with KFDV or AHFV develop viremia that peaks 2 to 4 days following inoculation. Over the course of infection, animals developed lymphocytopenia, thrombocytopenia, and elevated liver enzymes. Infected animals exhibited hallmark signs of human disease characterized by a flushed appearance, piloerection, dehydration, loss of appetite, weakness, and hemorrhagic signs including epistaxis. Virus was commonly present in the gastrointestinal tract, consistent with human disease caused by KFDV and AHFV where gastrointestinal symptoms (hemorrhage, vomiting, diarrhea) are common. Importantly, RNAseq of whole blood revealed that KFDV downregulated gene expression of key clotting factors that was not observed during AHFV infection, consistent with increased severity of KFDV disease observed in this model. This work characterizes a nonhuman primate model for KFDV and AHFV that closely resembles human disease for further utilization in understanding host immunity and development of antiviral countermeasures.
Single-Cell Transcriptomic Analysis of Human Lung Provides Insights into the Pathobiology of Pulmonary Fibrosis.

Am J Respir Crit Care Med. 2018 Dec 15.

2018 Dec 15

Reyfman PA, Walter JM, Joshi N, Anekalla KR, McQuattie-Pimentel AC, Chiu S, Fernandez R, Akbarpour M, Chen CI, Ren Z, Verma R, Abdala-Valencia H, Nam K, Chi M, Han S, Gonzalez-Gonzalez FJ, Soberanes S, Watanabe S, Williams KJN, Flozak AS, Nicholson TT, Morgan VK, Winter DR, Hinchcliff M, Hrusch CL, Guzy RD, Bonham CA, Sperling AI, Bag R, Hamanaka RB, Mutlu GM, Yeldandi AV, Marshall SA, Shilatifard A, Amaral LAN, Perlman H, Sznajder JI, Argento AC, Gillespie CT, Dematte J, Jain M, Singer BD, Ridge KM, Lam AP, Bharat A, Bhorade SM, Gottardi CJ, Budinger GRS, Misharin AV.
PMID: 30554520 | DOI: 10.1164/rccm.201712-2410OC

Abstract RATIONALE: The contributions of diverse cell populations in the human lung to pulmonary fibrosis pathogenesis are poorly understood. Single-cell RNA sequencing can reveal changes within individual cell populations during pulmonary fibrosis that are important for disease pathogenesis. OBJECTIVES: To determine whether single-cell RNA sequencing can reveal disease-related heterogeneity within alveolar macrophages, epithelial cells or other cell types in lung tissue from subjects with pulmonary fibrosis compared with controls. METHODS: We performed single-cell RNA sequencing on lung tissue obtained from eight transplant donors and eight recipients with pulmonary fibrosis and on one bronchoscopic cryobiospy sample from a patient with idiopathic pulmonary fibrosis. We validated these data in using in situ RNA hybridization, immunohistochemistry, and bulk RNA-sequencing on flow-sorted cells from 22 additional subjects. MEASUREMENTS AND MAIN RESULTS: We identified a distinct, novel population of profibrotic alveolar macrophages exclusively in patients with fibrosis. Within epithelial cells, the expression of genes involved in Wnt secretion and response was restricted to non-overlapping cells. We identified rare cell populations including airway stem cells and senescent cells emerging during pulmonary fibrosis. We developed a web-based tool to explore these data. CONCLUSIONS: We generated a single cell atlas of pulmonary fibrosis. Using this atlas we demonstrated heterogeneity within alveolar macrophages and epithelial cells from subjects with pulmonary fibrosis. These results support the feasibility of discovery-based approaches using next generation sequencing technologies to identify signaling pathways for targeting in the development of personalized therapies for patients with pulmonary fibrosis.
High-plex imaging of RNA and proteins at subcellular resolution in fixed tissue by spatial molecular imaging

Nature biotechnology

2022 Oct 06

He, S;Bhatt, R;Brown, C;Brown, EA;Buhr, DL;Chantranuvatana, K;Danaher, P;Dunaway, D;Garrison, RG;Geiss, G;Gregory, MT;Hoang, ML;Khafizov, R;Killingbeck, EE;Kim, D;Kim, TK;Kim, Y;Klock, A;Korukonda, M;Kutchma, A;Lewis, ZR;Liang, Y;Nelson, JS;Ong, GT;Perillo, EP;Phan, JC;Phan-Everson, T;Piazza, E;Rane, T;Reitz, Z;Rhodes, M;Rosenbloom, A;Ross, D;Sato, H;Wardhani, AW;Williams-Wietzikoski, CA;Wu, L;Beechem, JM;
PMID: 36203011 | DOI: 10.1038/s41587-022-01483-z

Resolving the spatial distribution of RNA and protein in tissues at subcellular resolution is a challenge in the field of spatial biology. We describe spatial molecular imaging, a system that measures RNAs and proteins in intact biological samples at subcellular resolution by performing multiple cycles of nucleic acid hybridization of fluorescent molecular barcodes. We demonstrate that spatial molecular imaging has high sensitivity (one or two copies per cell) and very low error rate (0.0092 false calls per cell) and background (~0.04 counts per cell). The imaging system generates three-dimensional, super-resolution localization of analytes at ~2 million cells per sample. Cell segmentation is morphology based using antibodies, compatible with formalin-fixed, paraffin-embedded samples. We measured multiomic data (980 RNAs and 108 proteins) at subcellular resolution in formalin-fixed, paraffin-embedded tissues (nonsmall cell lung and breast cancer) and identified >18 distinct cell types, ten unique tumor microenvironments and 100 pairwise ligand-receptor interactions. Data on >800,000 single cells and ~260 million transcripts can be accessed at http://nanostring.com/CosMx-dataset .
scRNA-seq generates a molecular map of emerging cell subtypes after sciatic nerve injury in rats

Communications biology

2022 Oct 19

Lovatt, D;Tamburino, A;Krasowska-Zoladek, A;Sanoja, R;Li, L;Peterson, V;Wang, X;Uslaner, J;
PMID: 36261573 | DOI: 10.1038/s42003-022-03970-0

Patients with peripheral nerve injury, viral infection or metabolic disorder often suffer neuropathic pain due to inadequate pharmacological options for relief. Developing novel therapies has been challenged by incomplete mechanistic understanding of the cellular microenvironment in sensory nerve that trigger the emergence and persistence of pain. In this study, we report a high resolution transcriptomics map of the cellular heterogeneity of naïve and injured rat sensory nerve covering more than 110,000 individual cells. Annotation reveals distinguishing molecular features of multiple major cell types totaling 45 different subtypes in naïve nerve and an additional 23 subtypes emerging after injury. Ligand-receptor analysis revealed a myriad of potential targets for pharmacological intervention. This work forms a comprehensive resource and unprecedented window into the cellular milieu underlying neuropathic pain and demonstrates that nerve injury is a dynamic process orchestrated by multiple cell types in both the endoneurial and epineurial nerve compartments.
SARS-CoV-2 infection triggers profibrotic macrophage responses and lung fibrosis

Cell

2021 Nov 01

Wendisch, D;Dietrich, O;Mari, T;von Stillfried, S;Ibarra, I;Mittermaier, M;Mache, C;Chua, R;Knoll, R;Timm, S;Brumhard, S;Krammer, T;Zauber, H;Hiller, A;Pascual-Reguant, A;Mothes, R;Bülow, R;Schulze, J;Leipold, A;Djudjaj, S;Erhard, F;Geffers, R;Pott, F;Kazmierski, J;Radke, J;Pergantis, P;Baßler, K;Conrad, C;Aschenbrenner, A;Sawitzki, B;Landthaler, M;Wyler, E;Horst, D;Hippenstiel, S;Hocke, A;Heppner, F;Uhrig, A;Garcia, C;Machleidt, F;Herold, S;Elezkurtaj, S;Thibeault, C;Witzenrath, M;Cochain, C;Suttorp, N;Drosten, C;Goffinet, C;Kurth, F;Schultze, J;Radbruch, H;Ochs, M;Eils, R;Müller-Redetzky, H;Hauser, A;Luecken, M;Theis, F;Conrad, C;Wolff, T;Boor, P;Selbach, M;Saliba, A;Sander, L;
| DOI: 10.1016/j.cell.2021.11.033

COVID-19-induced ‘acute respiratory distress syndrome’ (ARDS) is associated with prolonged respiratory failure and high mortality, but the mechanistic basis of lung injury remains incompletely understood. Here, we analyzed pulmonary immune responses and lung pathology in two cohorts of patients with COVID-19 ARDS using functional single cell genomics, immunohistology and electron microscopy. We describe an accumulation of CD163-expressing monocyte-derived macrophages that acquired a profibrotic transcriptional phenotype during COVID-19 ARDS. Gene set enrichment and computational data integration revealed a significant similarity between COVID-19-associated macrophages and profibrotic macrophage populations identified in idiopathic pulmonary fibrosis. COVID-19 ARDS was associated with clinical, radiographic, histopathological, and ultrastructural hallmarks of pulmonary fibrosis. Exposure of human monocytes to SARS-CoV-2, but not Influenza A virus or viral RNA analogs, was sufficient to induce a similar profibrotic phenotype in vitro. In conclusion, we demonstrate that SARS-CoV-2 triggers profibrotic macrophage responses and pronounced fibroproliferative ARDS.
928 A translational approach to catalog pancreatic cancer heterogeneity using spatial genomics in large patient cohorts for target validation and rational combination selection

Journal for ImmunoTherapy of Cancer

2021 Nov 01

Jabado, O;Fan, L;Souza, P;Harris, A;Chaparro, A;Qutaish, M;Si, H;Dannenberg, J;Sasser, K;Couto, S;Fereshteh, M;
| DOI: 10.1136/jitc-2021-sitc2021.928

BackgroundPancreatic ductal adenocarcinoma (PDAC) is an aggressive cancer with short overall survival; the standard of care (SoC) is chemotherapy. Immunotherapies in development aim to remodel the stroma by depleting immunosuppressive cell types or using T-cell redirection to kill tumor cells. To date, none of these methods have improved overall survival beyond SoC. Next generation immunotherapies that employ histopathology and molecular subtyping1 for target and patient selection may succeed. Here we leverage a spatial transcriptomics platform (Nanostring Digital Spatial Profiling, DSP) to reveal molecular signaling in tumoral and stromal cells in 57 PDAC patients using tumor microarrays (TMAs). This approach is rapid and clinically relevant as molecular and histology data can be easily bridged.MethodsTMAs generated from surgical resection tissue were commercially sourced. DSP was performed using the CTA RNA panel (1,800 target genes) using PanCK fluorescence for tumor/stroma segmentation. In parallel, slides were chromogenically stained for T-cells (CD3) and macrophages (CD68/CD163). Differential gene expression, gene signature and gene co-expression network analysis was performed using linear models in R.2 3ResultsDifferential gene expression analysis and correlation to IHC confirmed the DSP platform successfully profiled tumor and stromal compartments (figure 1). Immune cell signatures4 and pathway analysis revealed a heterogenous stromal environment. Using a fibroblast gene signature derived from single-cell RNAseq5 we found fibroblast density was positively correlated to PDGFR signaling and MHC-II expression but negatively correlated to B, CD4+ T and neutrophil cell levels (figure 2a). This finding supports the idea that atypical antigen presentation in cancer associated fibroblasts (CAFs) may be exploitable for immunotherapies.6 We constructed a co-expression network from in-situ stromal gene expression and used it to identify receptors coordinately expressed with the immunosuppressive macrophage marker CSF1R as a bispecific antibody partner (figure 2b).7 Classical macrophage markers were identified but also receptors with lesser-known functions in macrophages (TIM3/HAVCR2, FPR3, MS4A6A, LILRB4). Surveying target pairs in this method allows rapid, patient-specific confirmation in serial TMA sections with singleplex IHC or RNAscope.Abstact 928 Figure 1Segmentation strategy and validation of DSP (A) PanCK, CD68 and CD3 staining from two representative tumor cores; (B, C) correlation of gene transcripts in stroma to cell counts from chromogenic staining; (D) heatmap of selected genes differentially expressed in tumor and stroma (n=57 patients).Abstract 928 Figure 2Exploration of the stromal compartment in PDAC TMAs. (A) Heatmap of selected cell type and gene signatures from gene expression in the stroma, color represents single sample enrichment score using GSVA method; (B) a gene co-expression subnetwork in the stroma centered on CSF1R, edge thickness represents strength of correlation, green nodes have evidence for cell surface expression based on proteomic profiling.7ConclusionsIn this study we were able to recapitulate known PDAC biology using very small samples of primary tumors. The combination of TMAs and DSP enables a rapid validation of targets and hypothesis generation for bispecific parings. Further analysis of untreated (n=14) and post-adjuvant chemotherapy (n=26) patients using RNA DSP, IHC and bulk RNAseq is under way. Results from this cohort will enable an integrated histopathology and molecular approach to developing next-generation immunotherapies.ReferencesCollisson EA, Bailey P, Chang DK, Biankin AV. Molecular subtypes of pancreatic cancer. Nat Rev Gastroenterol Hepatol 2019 April;16(4):207-220.Ritchie ME, Phipson B, Wu D, Hu Y, Law CW, Shi W, Smyth GK (2015). “limma powers differential expression analyses for RNA-sequencing and microarray studies.” Nucleic Acids Research 43(7):e47.Hänzelmann S, Castelo R, Guinney J (2013). “GSVA: gene set variation analysis for microarray and RNA-Seq data.” BMC Bioinformatics 14,7.Charoentong P, Finotello F, Angelova M, Mayer C, Efremova M, Rieder D, Hackl H, Trajanoski Z. Pan-cancer immunogenomic analyses reveal genotype-immunophenotype relationships and predictors of response to checkpoint blockade. Cell Rep 2017 January 3;18(1):248-262.Tirosh I, Izar B, Prakadan SM, Wadsworth MH 2nd, Treacy D, Trombetta JJ, Rotem A, Rodman C, Lian C, Murphy G, Fallahi-Sichani M, Dutton-Regester K, Lin JR, Cohen O, Shah P, Lu D, Genshaft AS, Hughes TK, Ziegler CG, Kazer SW, Gaillard A, Kolb KE, Villani AC, Johannessen CM, Andreev AY, Van Allen EM, Bertagnolli M, Sorger PK, Sullivan RJ, Flaherty KT, Frederick DT, Jané-Valbuena J, Yoon CH, Rozenblatt-Rosen O, Shalek AK, Regev A, Garraway LA. Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq. Science 2016 April 8;352(6282):189-96.Elyada E, Bolisetty M, Laise P, Flynn WF, Courtois ET, Burkhart RA, Teinor JA, Belleau P, Biffi G, Lucito MS, Sivajothi S, Armstrong TD, Engle DD, Yu KH, Hao Y, Wolfgang CL, Park Y, Preall J, Jaffee EM, Califano A, Robson P, Tuveson DA. Cross-species single-cell analysis of pancreatic ductal adenocarcinoma reveals antigen-presenting cancer-associated fibroblasts. Cancer Discov 2019 August;9(8):1102-1123. Bausch-Fluck D, Hofmann A, Bock T, Frei AP, Cerciello F, Jacobs A, Moest H, Omasits U, Gundry RL, Yoon C, Schiess R, Schmidt A, Mirkowska P, Härtlová A, Van Eyk JE, Bourquin JP, Aebersold R, Boheler KR, Zandstra P, Wollscheid B. A mass spectrometric-derived cell surface protein atlas. PLoS One 2015 April 20;10(3):e0121314.Ethics ApprovalSpecimens were harvested from unused tissue after a surgical tumor resection procedure. A discrete legal consent form from both hospital and individuals was obtained by the commercial tissue vendor BioMax US for all samples analyzed in this abstract. All human tissues are collected under HIPPA approved protocols.ConsentWritten informed consent was obtained from the patient for publication of this abstract and any accompanying images. A copy of the written consent is available for review by the Editor of this journal.
An epithelial-immune circuit amplifies inflammasome and IL-6 responses to SARS-CoV-2

Cell host & microbe

2022 Dec 09

Barnett, KC;Xie, Y;Asakura, T;Song, D;Liang, K;Taft-Benz, SA;Guo, H;Yang, S;Okuda, K;Gilmore, RC;Loome, JF;Oguin Iii, TH;Sempowski, GD;Randell, SH;Heise, MT;Lei, YL;Boucher, RC;Ting, JP;
PMID: 36563691 | DOI: 10.1016/j.chom.2022.12.005

Elevated levels of cytokines IL-1β and IL-6 are associated with severe COVID-19. Investigating the underlying mechanisms, we find that while primary human airway epithelia (HAE) have functional inflammasomes and support SARS-CoV-2 replication, they are not the source of IL-1β released upon infection. In leukocytes, the SARS-CoV-2 E protein upregulates inflammasome gene transcription via TLR2 to prime, but not activate, inflammasomes. SARS-CoV-2-infected HAE supply a second signal, which includes genomic and mitochondrial DNA, to stimulate leukocyte IL-1β release. Nuclease treatment, STING, and caspase-1 inhibition but not NLRP3 inhibition blocked leukocyte IL-1β release. After release, IL-1β stimulates IL-6 secretion from HAE. Therefore, infection alone does not increase IL-1β secretion by either cell type. Rather, bi-directional interactions between the SARS-CoV-2-infected epithelium and immune bystanders stimulates both IL-1β and IL-6, creating a pro-inflammatory cytokine circuit. Consistent with these observations, patient autopsy lungs show elevated myeloid inflammasome gene signatures in severe COVID-19.

Pages

  • « first
  • ‹ previous
  • 1
  • 2
  • 3
  • 4
  • 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?