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 (46)
  • 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
  • (-) Remove COL1A1 filter COL1A1 (38)
  • Crh (37) Apply Crh filter
  • Chat (37) Apply Chat filter
  • V-nCoV2019-S (37) Apply V-nCoV2019-S filter
  • Pomc (34) Apply Pomc filter
  • PDGFRA (33) Apply PDGFRA filter
  • Il-6 (33) Apply Il-6 filter
  • Cre (33) Apply Cre filter
  • AGRP (32) Apply AGRP filter
  • PECAM1 (32) Apply PECAM1 filter
  • Npy (32) Apply Npy filter
  • Wnt5a (31) Apply Wnt5a filter
  • CXCL10 (31) Apply CXCL10 filter
  • GLP1R (31) Apply GLP1R filter
  • Sox9 (29) Apply Sox9 filter
  • CD68 (28) Apply CD68 filter
  • Penk (28) Apply Penk filter
  • PD-L1 (28) Apply PD-L1 filter
  • ACTA2 (27) Apply ACTA2 filter
  • SHH (27) Apply SHH filter
  • VGluT1 (27) Apply VGluT1 filter
  • OLFM4 (26) Apply OLFM4 filter
  • GFP (26) Apply GFP filter
  • Rbfox3 (25) Apply Rbfox3 filter
  • MALAT1 (24) Apply MALAT1 filter
  • SOX2 (24) Apply SOX2 filter
  • Ccl2 (24) Apply Ccl2 filter

Product

  • RNAscope 2.5 HD Red assay (7) Apply RNAscope 2.5 HD Red assay filter
  • RNAscope Multiplex Fluorescent Assay (7) Apply RNAscope Multiplex Fluorescent Assay filter
  • RNAscope 2.5 HD Brown Assay (6) Apply RNAscope 2.5 HD Brown Assay filter
  • RNAscope Fluorescent Multiplex Assay (4) Apply RNAscope Fluorescent Multiplex Assay filter
  • RNAscope (3) Apply RNAscope filter
  • RNAscope 2.0 Assay (3) Apply RNAscope 2.0 Assay filter
  • RNAscope 2.5 HD Duplex (3) Apply RNAscope 2.5 HD Duplex filter
  • RNAscope 2.5 HD Reagent Kit - BROWN (2) Apply RNAscope 2.5 HD Reagent Kit - BROWN filter
  • Basescope (1) Apply Basescope filter
  • RNAscope 2.5 LS Assay (1) Apply RNAscope 2.5 LS Assay filter
  • RNAscope 2.5 LS Assay - RED (1) Apply RNAscope 2.5 LS Assay - RED filter
  • RNAscope Fluorescent Multiplex Reagent kit (1) Apply RNAscope Fluorescent Multiplex Reagent kit filter

Research area

  • Inflammation (11) Apply Inflammation filter
  • Development (8) Apply Development filter
  • Other (6) Apply Other filter
  • Cancer (5) Apply Cancer filter
  • Bone (3) Apply Bone filter
  • Neuroscience (3) Apply Neuroscience filter
  • Fibrosis (2) Apply Fibrosis filter
  • Other: Lung (2) Apply Other: Lung filter
  • Stem cell (2) Apply Stem cell filter
  • Aging (1) Apply Aging filter
  • Atherosclerosis (1) Apply Atherosclerosis filter
  • Cardiology (1) Apply Cardiology filter
  • circRNAs (1) Apply circRNAs filter
  • Collagen-Replacement Therapy (1) Apply Collagen-Replacement Therapy filter
  • Covid (1) Apply Covid filter
  • Developement (1) Apply Developement filter
  • diabetes (1) Apply diabetes filter
  • Endrocrinology (1) Apply Endrocrinology filter
  • Heart Failure (1) Apply Heart Failure filter
  • human health (1) Apply human health filter
  • Infectious (1) Apply Infectious filter
  • Inflammation Bone (1) Apply Inflammation Bone filter
  • Kidney (1) Apply Kidney filter
  • Other: Hypertension (1) Apply Other: Hypertension filter
  • Other: Kidney Disease (1) Apply Other: Kidney Disease filter
  • Other: Skin (1) Apply Other: Skin filter
  • Teeth (1) Apply Teeth filter

Category

  • Publications (46) Apply Publications filter
Catabolic activity of osteoblast-lineage cells contributes to osteoclastic bone resorption in vitro.

J Cell Sci.

2019 Apr 11

Pirapaharan DC, Olesen JB, Andersen TL, Christensen SB, Kjærsgaard-Andersen P, Delaisse JM, Søe K.
PMID: 30975918 | DOI: 10.1242/jcs.229351

Osteoblast-lineage cells in bone human were recently shown to colonize eroded bone surfaces and to closely interact with osteoclasts. They proved identical with reversal cells and are believed to differentiate into bone forming osteoblasts thereby coupling resorption and formation. However, they also exert catabolic activity that contributes to osteoclastic bone resorption, but this has not received much attention. Herein, we used co-cultures of primary human osteoblast-lineage cells and human osteoclasts derived from peripheral blood monocytes to investigate whether a catabolic activity of osteoblast-lineage cells may impact on osteoclastic bone resorption. Through a combination of immunofluorescence, in-situ hybridization, and time-lapse we show that MMP-13 expressing osteoblast-lineage cells are attracted to and closely interact with bone resorbing osteoclasts. This close interaction results in a strong and significant increase in the bone resorptive activity of osteoclasts - especially those making trenches. Importantly, we show that osteoclastic bone resorption becomes sensitive to inhibition of matrix metalloproteinases in the presence, but not in the absence, of osteoblast-lineage cells. We propose that this may be due to the direct action of osteoblast-lineage-derived MMP-13 on bone resorption.

NF-κB drives epithelial-mesenchymal mechanisms of lung fibrosis in a translational lung cell model

JCI insight

2022 Dec 15

Sieber, P;Schäfer, A;Lieberherr, R;Caimi, SL;Lüthi, U;Ryge, J;Bergmann, JH;Le Goff, F;Stritt, M;Blattmann, P;Renault, B;Rammelt, P;Sempere, B;Freti, D;Studer, R;White, ES;Birker-Robaczewska, M;Boucher, M;Nayler, O;
PMID: 36520540 | DOI: 10.1172/jci.insight.154719

In the progression phase of idiopathic pulmonary fibrosis (IPF) the normal alveolar structure of the lung is lost and replaced by remodeled fibrotic tissue and by bronchiolized cystic airspaces. Although these are characteristic features of IPF, knowledge of specific interactions between these pathological processes is limited. Here, the interaction of lung epithelial and lung mesenchymal cells was investigated in a co-culture model of human primary airway epithelial cells (EC) and lung fibroblasts (FB). Single-cell RNA sequencing (sc-RNA-seq) revealed that the starting EC population was heterogenous and enriched for cells with a basal cell signature. Furthermore, fractions of the initial EC and FB cell populations adopted distinct pro-fibrotic cell differentiation states upon co-cultivation, resembling specific cell populations that were previously identified in lungs of IPF patients. Transcriptomic analysis revealed active nuclear factor NF-kappa-B (NF-κB) signaling early in the co-cultured EC and FB cells and the identified NF-κB expression signatures were also found in "HAS1 High FB" and "PLIN2+ FB" populations from IPF patient lungs. Pharmacological blockade of NF-κB signaling attenuated specific phenotypic changes of EC and prevented FB-mediated interleukin-6 (IL6), interleukin-8 (IL-8) and C-X-C motif chemokine ligand 6 (CXCL6) cytokine secretion, as well as collagen alpha-1(I) chain (COL1A1) and alpha-smooth muscle actin (α-SMA) accumulation. Thus, we identified NF-κB as a potential mediator, linking epithelial pathobiology with fibrogenesis.
CircRNA circCOL1A1 Acts as a Sponge of miR-30a-5p to Promote Vascular Smooth Cell Phenotype Switch through Regulation of Smad1 Expression

Thrombosis and haemostasis

2022 Dec 03

Ye, M;Ni, Q;Wang, H;Wang, Y;Yao, Y;Li, Y;Wang, W;Yang, S;Chen, J;Lv, L;Zhao, Y;Xue, G;Guo, X;Zhang, L;
PMID: 36462769 | DOI: 10.1055/s-0042-1757875

Phenotypic switch of vascular smooth muscle cells (VSMCs) plays an important role in the pathogenesis of atherosclerosis. The mRNA expression of the synthetic biomarker Collagen Type I Alpha 1 Chain (COL1A1) gene is upregulated during the switch of VSMCs from the contractile to the synthetic phenotype. The association of noncoding circular RNAs transcribed by the COL1A1 gene with VSMC phenotype alteration and atherogenesis remains unclear. Here we reported a COL1A1 circular RNA (circCOL1A1) which is specifically expressed in VSMCs and is upregulated during phenotype alteration of VSMCs. CircCOL1A1 is also detectable in the serum or plasma. Healthy vascular tissues have a low expression of CircCOL1A1, while it is upregulated in atherosclerosis patients. Through ex vivo and in vitro assays, we found that circCOL1A1 can promote VSMC phenotype switch. Mechanistic analysis showed that circCOL1A1 may exert its function as a competing endogenous RNA of miR-30a-5p. Upregulation of circCOL1A1 ameliorates the inhibitory effect of miR-30a-5p on its target SMAD1, which leads to suppression of transforming growth factor-β (TGF-β) signaling. Our findings demonstrate that circCOL1A1 promotes the phenotype switch of VSMCs through the miR-30a-5p/SMAD1/TGF-β axis and it may serve as a novel marker of atherogenesis or as a therapeutic target for atherosclerosis.Thieme. All rights reserved.
A novel renal perivascular mesenchymal cell subset gives rise to fibroblasts distinct from classic myofibroblasts

Scientific reports

2022 Mar 30

Minatoguchi, S;Saito, S;Furuhashi, K;Sawa, Y;Okazaki, M;Shimamura, Y;Kaihan, AB;Hashimoto, Y;Yasuda, Y;Hara, A;Mizutani, Y;Ando, R;Kato, N;Ishimoto, T;Tsuboi, N;Esaki, N;Matsuyama, M;Shiraki, Y;Kobayashi, H;Asai, N;Enomoto, A;Maruyama, S;
PMID: 35354870 | DOI: 10.1038/s41598-022-09331-5

Perivascular mesenchymal cells (PMCs), which include pericytes, give rise to myofibroblasts that contribute to chronic kidney disease progression. Several PMC markers have been identified; however, PMC heterogeneity and functions are not fully understood. Here, we describe a novel subset of renal PMCs that express Meflin, a glycosylphosphatidylinositol-anchored protein that was recently identified as a marker of fibroblasts essential for cardiac tissue repair. Tracing the lineage of Meflin+ PMCs, which are found in perivascular and periglomerular areas and exhibit renin-producing potential, showed that they detach from the vasculature and proliferate under disease conditions. Although the contribution of Meflin+ PMCs to conventional α-SMA+ myofibroblasts is low, they give rise to fibroblasts with heterogeneous α-SMA expression patterns. Genetic ablation of Meflin+ PMCs in a renal fibrosis mouse model revealed their essential role in collagen production. Consistent with this, human biopsy samples showed that progressive renal diseases exhibit high Meflin expression. Furthermore, Meflin overexpression in kidney fibroblasts promoted bone morphogenetic protein 7 signals and suppressed myofibroblastic differentiation, implicating the roles of Meflin in suppressing tissue fibrosis. These findings demonstrate that Meflin marks a PMC subset that is functionally distinct from classic pericytes and myofibroblasts, highlighting the importance of elucidating PMC heterogeneity.
Human Adult Fibroblast-like Synoviocytes and Articular Chondrocytes Exhibit Prominent Overlap in Their Transcriptomic Signatures

ACR open rheumatology

2021 May 01

Jones, K;Angelozzi, M;Gangishetti, U;Haseeb, A;de Charleroy, C;Lefebvre, V;Bhattaram, P;
PMID: 33931959 | DOI: 10.1002/acr2.11255

Fibroblast-like synoviocytes (FLS) and articular chondrocytes (AC) derive from a common pool of embryonic precursor cells. They are currently believed to engage in largely distinct differentiation programs to build synovium and articular cartilage and maintain healthy tissues throughout life. We tested this hypothesis by deeply characterizing and comparing their transcriptomic attributes. We profiled the transcriptomes of freshly isolated AC, synovium, primary FLS, and dermal fibroblasts from healthy adult humans using bulk RNA sequencing assays and downloaded published single-cell RNA sequencing data from freshly isolated human FLS. We integrated all data to define cell-specific signatures and validated findings with quantitative reverse transcription PCR of human samples and RNA hybridization of mouse joint sections. We identified 212 AC and 168 FLS markers on the basis of exclusive or enriched expression in either cell and 294 AC/FLS markers on the basis of similar expression in both cells. AC markers included joint-specific and pan-cartilaginous genes. FLS and AC/FLS markers featured 37 and 55 joint-specific genes, respectively, and 131 and 239 pan-fibroblastic genes, respectively. These signatures included many previously unrecognized markers with potentially important joint-specific roles. AC/FLS markers overlapped in their expression patterns among all FLS and AC subpopulations, suggesting that they fulfill joint-specific properties in all, rather than in discrete, AC and FLS subpopulations. This study broadens knowledge and identifies a prominent overlap of the human adult AC and FLS transcriptomic signatures. It also provides data resources to help further decipher mechanisms underlying joint homeostasis and degeneration and to improve the quality control of tissues engineered for regenerative treatments.
Mapping macrophage polarization over the myocardial infarction time continuum

Basic Res Cardiol.

2018 Jun 04

Mouton AJ, DeLeon-Pennell KY, Rivera Gonzalez OJ, Flynn ER, Freeman TC, Saucerman JJ, Garrett MR, Ma Y, Harmancey R, Lindsey ML.
PMID: 29868933 | DOI: 10.1007/s00395-018-0686-x

In response to myocardial infarction (MI), cardiac macrophages regulate inflammation and scar formation. We hypothesized that macrophages undergo polarization state changes over the MI time course and assessed macrophage polarization transcriptomic signatures over the first week of MI. C57BL/6 J male mice (3-6 months old) were subjected to permanent coronary artery ligation to induce MI, and macrophages were isolated from the infarct region at days 1, 3, and 7 post-MI. Day 0, no MI resident cardiac macrophages served as the negative MI control. Whole transcriptome analysis was performed using RNA-sequencing on n = 4 pooled sets for each time. Day 1 macrophages displayed a unique pro-inflammatory, extracellular matrix (ECM)-degrading signature. By flow cytometry, day 0 macrophages were largely F4/80highLy6Clow resident macrophages, whereas day 1 macrophages were largely F4/80lowLy6Chigh infiltrating monocytes. Day 3 macrophages exhibited increased proliferation and phagocytosis, and expression of genes related to mitochondrial function and oxidative phosphorylation, indicative of metabolic reprogramming. Day 7 macrophages displayed a pro-reparative signature enriched for genes involved in ECM remodeling and scar formation. By triple in situ hybridization, day 7 infarct macrophages in vivo expressed collagen I and periostin mRNA. Our results indicate macrophages show distinct gene expression profiles over the first week of MI, with metabolic reprogramming important for polarization. In addition to serving as indirect mediators of ECM remodeling, macrophages are a direct source of ECM components. Our study is the first to report the detailed changes in the macrophage transcriptome over the first week of MI.

Activation of PAR2 promotes high-fat diet-induced renal injury by inducing oxidative stress and inflammation

Biochimica et biophysica acta. Molecular basis of disease

2022 Jun 27

Ha, S;Yang, Y;Kim, BM;Kim, J;Son, M;Kim, D;Yu, HS;Im, D;Chung, HY;Chung, KW;
PMID: 35772632 | DOI: 10.1016/j.bbadis.2022.166474

A high-fat diet (HFD) is a major risk factor for chronic kidney disease. Although HFD promotes renal injury, characterized by increased inflammation and oxidative stress leading to fibrosis, the underlying mechanism remains elusive. Here, we investigated the role and mechanism of protease-activating receptor 2 (PAR2) activation during HFD-induced renal injury in C57/BL6 mice. HFD for 16 weeks resulted in kidney injury, manifested by increased blood levels of blood urea nitrogen, increased levels of oxidative stress with inflammation, and structural changes in the kidney tubules. HFD-fed kidneys showed elevated PAR2 expression level in the tubular epithelial region. To elucidate the role of PAR2, PAR2 knockout mice and their littermates were administered HFD. PAR2 deficient kidneys showed reduced extent of renal injury. PAR2 deficient kidneys showed significantly decreased levels of inflammatory gene expression and macrophage infiltration, followed by reduced accumulation of extracellular matrix proteins. Using NRK52E kidney epithelial cells, we further elucidated the mechanism and role of PAR2 activation during renal injury. Palmitate treatment increased PAR2 expression level in NRK52E cells and scavenging of oxidative stress blocked PAR2 expression. Under palmitate-treated conditions, PAR2 agonist-induced NF-κB activation level was higher with increased chemokine expression level in the cells. These changes were attenuated by the depletion of oxidative stress. Taken together, our results suggest that HFD-induced PAR2 activation is associated with increased levels of renal oxidative stress, inflammatory response, and fibrosis.
RNA Sequencing of Single Human Islet Cells Reveals Type 2 Diabetes Genes

Cell Metab.

2016 Sep 09

Xin Y, Kim J, Okamoto H, Ni M, Wei Y, Adler C, Murphy AJ, Yancopoulos GD, Lin C, Gromada J.
PMID: 27667665 | DOI: 10.1016/j.cmet.2016.08.018

Pancreatic islet cells are critical for maintaining normal blood glucose levels, and their malfunction underlies diabetes development and progression. We used single-cell RNA sequencing to determine the transcriptomes of 1,492 human pancreatic α, β, δ, and PP cells from non-diabetic and type 2 diabetes organ donors. We identified cell-type-specific genes and pathways as well as 245 genes with disturbed expression in type 2 diabetes. Importantly, 92% of the genes have not previously been associated with islet cell function or growth. Comparison of gene profiles in mouse and human α and β cells revealed species-specific expression. All data are available for online browsing and download and will hopefully serve as a resource for the islet research community.

A single-cell transcriptomic inventory of murine smooth muscle cells

Developmental cell

2022 Oct 24

Muhl, L;Mocci, G;Pietilä, R;Liu, J;He, L;Genové, G;Leptidis, S;Gustafsson, S;Buyandelger, B;Raschperger, E;Hansson, EM;Björkegren, JLM;Vanlandewijck, M;Lendahl, U;Betsholtz, C;
PMID: 36283392 | DOI: 10.1016/j.devcel.2022.09.015

Smooth muscle cells (SMCs) execute important physiological functions in numerous vital organ systems, including the vascular, gastrointestinal, respiratory, and urogenital tracts. SMC differ morphologically and functionally at these different anatomical locations, but the molecular underpinnings of the differences remain poorly understood. Here, using deep single-cell RNA sequencing combined with in situ gene and protein expression analysis in four murine organs-heart, aorta, lung, and colon-we identify a molecular basis for high-level differences among vascular, visceral, and airway SMC, as well as more subtle differences between, for example, SMC in elastic and muscular arteries and zonation of elastic artery SMC along the direction of blood flow. Arterial SMC exhibit extensive organotypic heterogeneity, whereas venous SMC are similar across organs. We further identify a specific SMC subtype within the pulmonary vasculature. This comparative SMC cross-organ resource offers insight into SMC subtypes and their specific functions.
Bone formation in 2D culture of primary cells

JBMR Plus

2022 Nov 11

Mertz, E;Makareeva, E;Mirigian, L;Leikin, S;
| DOI: 10.1002/jbm4.10701

Relevance of mineralized nodules in two-dimensional (2D) osteoblast/osteocyte cultures to bone biology, pathology, and engineering is a decades old question, but a comprehensive answer appears to be still wanting. Bone-like cells, extracellular matrix (ECM), and mineral were all reported but so were non-bone-like ones. Many studies described seemingly bone-like cell-ECM structures based on similarity to few select bone features _in vivo_, yet no studies examined multiple bone features simultaneously and none systematically studied all types of structures coexisting in the same culture. Here, we report such comprehensive analysis of 2D cultures based on light and electron microscopies, Raman microspectroscopy, gene expression, and _in situ_ mRNA hybridization. We demonstrate that 2D cultures of primary cells from mouse calvaria do form _bona fide_ bone. Cells, ECM, and mineral within it exhibit morphology, structure, ultrastructure, composition, spatial-temporal gene expression pattern, and growth consistent with intramembranous ossification. However, this bone is just one of at least five different types of cell-ECM structures coexisting in the same 2D culture, which vary widely in their resemblance to bone and ability to mineralize. We show that the other two mineralizing structures may represent abnormal (disrupted) bone and cartilage-like formation with chondrocyte-to-osteoblast trans differentiation. The two non-mineralizing cell-ECM structures may mimic periosteal cambium and pathological, non-mineralizing osteoid. Importantly, the most commonly used culture conditions (10 mM β-glycerophosphate) induce artificial mineralization of all cell-ECM structures, which then become barely distinguishable. We therefore discuss conditions and approaches promoting formation of _bona fide_ bone and simple means for distinguishing it from the other cell-ECM structures. Our findings may improve osteoblast differentiation and function analyses based on 2D cultures and extend applications of these cultures to general bone biology and tissue engineering research.
Elevated NGAL is Associated with the Severity of Kidney Injury and Poor Prognosis of Patients with COVID-19

Kidney international reports

2021 Oct 08

Xu, K;Shang, N;Levitman, A;Corker, A;Kudose, S;Yaeh, A;Neupane, U;Stevens, J;Sampogna, R;Mills, AM;D'Agati, V;Mohan, S;Kiryluk, K;Barasch, J;
PMID: 34642645 | DOI: 10.1016/j.ekir.2021.09.005

Loss of kidney function is a common feature of COVID-19 infection, but serum creatinine (SCr) is not a sensitive or specific marker of kidney injury. We tested whether molecular biomarkers of tubular injury measured at hospital admission were associated with AKI in those with COVID-19 infection.This is a prospective cohort observational study consisting of 444 consecutive SARS-CoV-2 patients enrolled in the Columbia University Emergency Department at the peak of New York's pandemic (March-April 2020). Urine and blood were collected simultaneously at hospital admission (median time: day 0, IQR 0-2 days) and urine biomarkers analyzed by ELISA and by a novel dipstick. Kidney biopsies were probed for biomarker RNA and for histopathologic acute tubular injury (ATI) scores.Admission uNGAL was associated with AKI diagnosis (267±301 vs. 96±139 ng/mL, P < 0.0001) and staging; uNGAL levels >150ng/mL demonstrated 80% specificity and 75% sensitivity to diagnose AKI-stage 2-3. Admission uNGAL quantitatively associated with prolonged AKI, dialysis, shock, prolonged hospitalization, and in-hospital death, even when admission SCr was not elevated. The risk of dialysis increased almost 4-fold per standard deviation of uNGAL independently of baseline SCr, co-morbidities, and proteinuria [OR(95%CI): 3.59 (1.83-7.45), P < 0.001]. In COVID-19 kidneys, NGAL mRNA expression broadened in parallel with severe histopathological injury (ATI). Conversely, low uNGAL levels at admission ruled out stage 2-3 AKI (NPV 0.95, 95%CI: 0.92-0.97) and the need for dialysis (NPV: 0.98, 95%CI: 0.96-0.99)). While proteinuria and uKIM-1 implicated tubular injury, neither were diagnostic of AKI stages.In COVID-19 patients, uNGAL quantitatively associated with histopathological injury (ATI), the loss of kidney function (AKI), and the severity of patient outcomes.
Single cell transcriptomic analysis of HPV16-infected epithelium identifies a keratinocyte subpopulation implicated in cancer

Nature communications

2023 Apr 08

Bedard, MC;Chihanga, T;Carlile, A;Jackson, R;Brusadelli, MG;Lee, D;VonHandorf, A;Rochman, M;Dexheimer, PJ;Chalmers, J;Nuovo, G;Lehn, M;Williams, DEJ;Kulkarni, A;Carey, M;Jackson, A;Billingsley, C;Tang, A;Zender, C;Patil, Y;Wise-Draper, TM;Herzog, TJ;Ferris, RL;Kendler, A;Aronow, BJ;Kofron, M;Rothenberg, ME;Weirauch, MT;Van Doorslaer, K;Wikenheiser-Brokamp, KA;Lambert, PF;Adam, M;Steven Potter, S;Wells, SI;
PMID: 37031202 | DOI: 10.1038/s41467-023-37377-0

Persistent HPV16 infection is a major cause of the global cancer burden. The viral life cycle is dependent on the differentiation program of stratified squamous epithelium, but the landscape of keratinocyte subpopulations which support distinct phases of the viral life cycle has yet to be elucidated. Here, single cell RNA sequencing of HPV16 infected compared to uninfected organoids identifies twelve distinct keratinocyte populations, with a subset mapped to reconstruct their respective 3D geography in stratified squamous epithelium. Instead of conventional terminally differentiated cells, an HPV-reprogrammed keratinocyte subpopulation (HIDDEN cells) forms the surface compartment and requires overexpression of the ELF3/ESE-1 transcription factor. HIDDEN cells are detected throughout stages of human carcinogenesis including primary human cervical intraepithelial neoplasias and HPV positive head and neck cancers, and a possible role in promoting viral carcinogenesis is supported by TCGA analyses. Single cell transcriptome information on HPV-infected versus uninfected epithelium will enable broader studies of the role of individual keratinocyte subpopulations in tumor virus infection and cancer evolution.

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?