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 (16)
  • 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
  • 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 (6) Apply RNAscope 2.5 HD Red assay filter
  • RNAscope Multiplex Fluorescent Assay (4) Apply RNAscope Multiplex Fluorescent Assay filter
  • RNAscope Fluorescent Multiplex Assay (2) Apply RNAscope Fluorescent Multiplex Assay filter
  • RNAscope (1) Apply RNAscope filter
  • RNAscope 2.5 LS Assay (1) Apply RNAscope 2.5 LS Assay filter
  • RNAscope Multiplex Fluorescent Assay v2 (1) Apply RNAscope Multiplex Fluorescent Assay v2 filter

Research area

  • Neuroscience (5) Apply Neuroscience filter
  • Development (3) Apply Development filter
  • Developmental (3) Apply Developmental filter
  • Other (2) Apply Other filter
  • Other: Heart (2) Apply Other: Heart filter
  • Cancer (1) Apply Cancer filter
  • Marfan Syndrome (1) Apply Marfan Syndrome filter
  • Neuropathic pain (1) Apply Neuropathic pain filter
  • non-alcoholic fatty liver disease (1) Apply non-alcoholic fatty liver disease filter
  • Other: Hypertension (1) Apply Other: Hypertension filter
  • Other: Liver (1) Apply Other: Liver filter
  • Signalling (1) Apply Signalling filter
  • Stem cell (1) Apply Stem cell filter
  • Vascular Disease (1) Apply Vascular Disease filter

Category

  • Publications (16) Apply Publications filter
Dissecting aortic aneurysm in Marfan syndrome is associated with losartan-sensitive transcriptomic modulation of aortic cells

JCI insight

2023 Apr 06

Sun, Y;Asano, K;Sedes, L;Cantalupo, A;Hansen, J;Iyengar, R;Walsh, MJ;Ramirez, F;
PMID: 37022786 | DOI: 10.1172/jci.insight.168793

To improve our limited understanding of the pathogenesis of thoracic aortic aneurysm (TAA) leading to acute aortic dissection, single-cell RNA sequencing (scRNA-seq) was employed to profile disease-relevant transcriptomic changes of aortic cell populations in a well-characterized mouse model of the most commonly diagnosed form of Marfan syndrome (MFS). As result, two discrete sub-populations of aortic cells (SMC3 and EC4) were identified only in the aorta of Fbn1mgR/mgR mice. SMC3 highly express genes related to extracellular matrix formation and nitric oxide signaling, whereas EC4 transcriptional profile is enriched in SMC, fibroblast, and immune cell-related genes. Trajectory analysis predicted close phenotypic modulation between SMC3 and EC4, which were therefore analyzed together as a discrete MFS-modulated (MFSmod) sub-population. In situ hybridizations of diagnostic transcripts located MFSmod cells to the intima of Fbn1mgR/mgR aortas. Reference-based dataset integration revealed transcriptomic similarity between MFSmod and an SMC-derived cell cluster modulated in human TAA. Consistent with angiotensin II type I receptor (At1r) contribution to TAA development, MFSmod cells were absent in the aorta of Fbn1mgR/mgR mice treated with the At1r antagonist losartan. Altogether, our findings indicate that a discrete dynamic alteration of aortic cell identity is associated with dissecting TAA in MFS mice and increased risk of aortic dissection in MFS patients.
High-throughput single-molecule RNA imaging analysis reveals heterogeneous responses of cardiomyocytes to hemodynamic overload.

J Mol Cell Cardiol. 2019 Jan 3.

2019 Jan 03

Satoh M, Nomura S, Harada M, Yamaguchi T, Ko T, Sumida T, Toko H, Naito AT, Takeda N, Tobita T, Fujita T, Ito M, Fujita K, Ishizuka M, Kariya T, Akazawa H, Kobayashi Y, Morita H, Takimoto E, Aburatani H, Komuro I.
PMID: 30611794 | DOI: 10.1016/j.yjmcc.2018.12.018

Abstract BACKGROUND: The heart responds to hemodynamic overload through cardiac hypertrophy and activation of the fetal gene program. However, these changes have not been thoroughly examined in individual cardiomyocytes, and the relation between cardiomyocyte size and fetal gene expression remains elusive. We established a method of high-throughput single-molecule RNA imaging analysis of in vivo cardiomyocytes and determined spatial and temporal changes during the development of heart failure. METHODS AND RESULTS: We applied three novel single-cell analysis methods, namely, single-cell quantitative PCR (sc-qPCR), single-cell RNA sequencing (scRNA-seq), and single-molecule fluorescence in situ hybridization (smFISH). Isolated cardiomyocytes and cross sections from pressure overloaded murine hearts after transverse aortic constriction (TAC) were analyzed at an early hypertrophy stage (2 weeks, TAC2W) and at a late heart failure stage (8 weeks, TAC8W). Expression of myosin heavy chain β (Myh7), a representative fetal gene, was induced in some cardiomyocytes in TAC2W hearts and in more cardiomyocytes in TAC8W hearts. Expression levels of Myh7 varied considerably among cardiomyocytes. Myh7-expressing cardiomyocytes were significantly more abundant in the middle layer, compared with the inner or outer layers of TAC2W hearts, while such spatial differences were not observed in TAC8W hearts. Expression levels of Myh7 were inversely correlated with cardiomyocyte size and expression levels of mitochondria-related genes. CONCLUSIONS: We developed a new image-analysis pipeline to allow automated and unbiased quantification of gene expression at the single-cell level and determined the spatial and temporal regulation of heterogenous Myh7 expression in cardiomyocytes after pressure overload.
Dexlansoprazole prevents pulmonary artery hypertension by inhibiting pulmonary artery smooth muscle cell to fibroblast transition

American journal of translational research

2022 Aug 15

Jiao, Q;Zou, F;Li, S;Wang, J;Xiao, Y;Guan, Z;Dong, L;Tian, J;Li, S;Wang, R;Zhang, J;Li, H;
PMID: 36105026

To validate that dexlansoprazole, an anti-acid drug, can prevent pulmonary artery hypertension (PAH) in preclinical animal models and find the possible mechanism of action of dexlansoprazole for this new indication.The efficacy of dexlansoprazole to attenuate PAH in vivo was evaluated in PAH animal models. Plasma guanosine 3', 5'-cyclic phosphate (cGMP) in PAH rats was measured by enzyme linked immunosorbent assay (ELISA). To investigate the anti-PAH effect of dexlansoprazole in vitro, proliferation and migration assays of primary cultured pulmonary artery smooth muscle cells (PASMCs) were performed. Furthermore, dexlansoprazole's function on fibroblast transition of vascular smooth muscle cells (VSMC) was explored by single cell ribonucleic acid (RNA) sequencing and RNAscope.Dexlansoprazole could attenuate the pathologic process in monocrotaline (MCT)-, hypoxia-induced PAH rats and SU5416/hypoxia (SuHy)-induced PAH mice. The intervention with dexlansoprazole significantly inhibited elevated right ventricular systolic pressure (RVSP), right ventricular hypertrophy, and pulmonary vascular wall thickness. Furthermore, plasma cGMP in MCT-induced PAH rats was restored after receiving dexlansoprazole. In vitro, dexlansoprazole could inhibit PASMCs' proliferation and migration stimulated by platelet derived growth factor-BB (PDGF-BB). Moreover, dexlansoprazole significantly ameliorated pulmonary vascular remodeling by inhibiting VSMC phenotypic transition to fibroblast-like cells in a VSMC-specific multispectral lineage-tracing mouse.Dexlansoprazole can prevent PAH through promoting cGMP generation and inhibiting pulmonary vascular remodeling through restraining PASMCs' proliferation, migration, and phenotypic transition to fibroblast-like cells. Consequently, PAH might be a new indication for dexlansoprazole.AJTR
Stellate cell expression of SPARC-related modular calcium-binding protein 2 is associated with human non-alcoholic fatty liver disease severity

JHEP Reports

2022 Oct 01

Larsen, F;Hansen, D;Terkelsen, M;Bendixen, S;Avolio, F;Wernberg, C;Lauridsen, M;Grønkjaer, L;Jacobsen, B;Klinggaard, E;Mandrup, S;Di Caterino, T;Siersbæk, M;Chandran, V;Graversen, J;Krag, A;Grøntved, L;Ravnskjaer, K;
| DOI: 10.1016/j.jhepr.2022.100615

Background & Aims Non-alcoholic fatty liver disease (NAFLD) and its progressive form, non-alcoholic steatohepatitis (NASH), are the hepatic manifestations of metabolic syndrome. Histological assessment of liver biopsies is the gold standard for diagnosis of NASH. A Liver biopsy is resource heavy, can lead to complications such as bleeding, and does not fully capture tissue heterogeneity of the fibrotic liver. Therefore, non-invasive biomarkers that can reflect an integrated state of the liver are highly needed to improve diagnosis and sampling bias. Hepatic stellate cells (HSCs) are central in development of hepatic fibrosis, a hallmark of NASH. Secreted HSC-specific proteins may, therefore, reflect disease state in the NASH liver and serve as non-invasive diagnostic biomarkers. Methods We performed RNA-sequencing on liver biopsies from a histological characterised cohort of obese patients (n = 30, body mass index > 35 kg/m2) to identify and evaluate HSC-specific genes encoding secreted proteins. Bioinformatics was used to identify potential biomarkers and their expression at single-cell resolution. We validated our findings by single-molecule fluorescence in situ hybridisation (smFISH) and ELISA to detect mRNA in liver tissue and protein levels in plasma, respectively. Results Hepatic expression of SPARC-related modular calcium-binding protein 2 (SMOC2) was increased in NASH compared no-NAFLD (p.adj < 0.001). Single-cell RNA-sequencing data indicated SMOC2 expression by HSCs, which was validated using smFISH. Finally, plasma SMOC2 was elevated in NASH compared to no-NAFLD (p < 0.001) with a predictive accuracy of AUROC 0.88. Conclusions We propose increased SMOC2 in plasma reflects HSC activation, a key cellular event associated with NASH progression, and may serve as a non-invasive biomarker of NASH.
Cellular mechanisms of oligoclonal vascular smooth muscle cell expansion in cardiovascular disease

Cardiovascular research

2022 Aug 22

Worssam, MD;Lambert, J;Oc, S;Taylor, JC;Taylor, AL;Dobnikar, L;Chappell, J;Harman, JL;Figg, NL;Finigan, A;Foote, K;Uryga, AK;Bennett, MR;Spivakov, M;Jørgensen, HF;
PMID: 35994249 | DOI: 10.1093/cvr/cvac138

Quiescent, differentiated adult vascular smooth muscle cells (VSMCs) can be induced to proliferate and switch phenotype. Such plasticity underlies blood vessel homeostasis and contributes to vascular disease development. Oligoclonal VSMC contribution is a hallmark of end-stage vascular disease. Here we aim to understand cellular mechanisms underpinning generation of this VSMC oligoclonality.We investigate the dynamics of VSMC clone formation using confocal microscopy and single cell transcriptomics in VSMC-lineage-traced animal models. We find that activation of medial VSMC proliferation occurs at low frequency after vascular injury and that only a subset of expanding clones migrate, which together drives formation of oligoclonal neointimal lesions. VSMC contribution in small atherosclerotic lesions is typically from one or two clones, similar to observations in mature lesions. Low frequency (<0.1%) of clonal VSMC proliferation is also observed in vitro. Single-cell RNA-sequencing revealed progressive cell state changes across a contiguous VSMC population at onset of injury-induced proliferation. Proliferating VSMCs mapped selectively to one of two distinct trajectories and were associated with cells showing extensive phenotypic switching. A proliferation-associated transitory state shared pronounced similarities with atypical SCA1+ VSMCs from uninjured mouse arteries and VSMCs in healthy human aorta. We show functionally that clonal expansion of SCA1+ VSMCs from healthy arteries occurs at higher rate and frequency compared to SCA1- cells.Our data suggest that activation of proliferation at low frequency is a general, cell-intrinsic feature of VSMCs. We show that rare VSMCs in healthy arteries display VSMC phenotypic switching akin to that observed in pathological vessel remodelling and that this is a conserved feature of mouse and human healthy arteries. The increased proliferation of modulated VSMCs from healthy arteries suggests that these cells respond more readily to disease-inducing cues and could drive oligoclonal VSMC expansion.
Data on the mRNA expression by in situ hybridization of Wnt signaling pathway members in the mouse uterus

Data in Brief

2017 Apr 08

Goad J, Ko YA, Syed SM, Crossingham YJ, Tanwar PS.
PMID: - | DOI: 10.1016/j.dib.2017.03.047

Wnt signaling plays an important role in uterine organogenesis and oncogenesis. Our mRNA expression data documents the expression of various Wnt pathway members during the key stages of uterine epithelial gland development. Our data illustrates the expression of Wnt signaling inhibitors (Axin2, Sfrp2, Sfrp4, Dkk1 and Dkk3) in mice uteri at postnatal day 6 (PND 6) and day 15 (PND 15). They also describe the expression pattern of the Wnt ligands (Wnt1, Wnt2, Wnt2b, Wnt3, Wnt3a, Wnt5b, Wnt7b, Wnt8a, Wnt8b, Wnt9a, Wnt9b, Wnt10a and Wnt10b) in mice uteri with or without progesterone treatment. Detailed interpretation and discussion of these data is presented in the research article entitled “Differential Wnt signaling activity limits epithelial gland development to the anti-mesometrial side of the mouse uterus” [1].

In vivo genetic cell lineage tracing reveals that oviductal secretory cells self-renew and give rise to ciliated cells.

Development.

2017 Jul 25

Ghosh A, Syed SM, Tanwar PS.
PMID: 28743800 | DOI: 10.1242/dev.149989

The epithelial lining of the Fallopian tube is vital for fertility, providing nutrition to gametes, and facilitating their transport. It is composed of two major cell types: secretory cells and ciliated cells. Interestingly, human ovarian cancer precursor lesions are primarily consisting of secretory cells. It is unclear why secretory cells are the dominant cell type in these lesions. Additionally, the underlying mechanisms governing Fallopian tube epithelial homoeostasis are currently unknown. In the present study, we showed that across the different developmental stages of mouse oviduct, secretory cells are the most frequently dividing cells of the oviductal epithelium. In vivo genetic cell lineage tracing showed that secretory cells not only self-renew, but also give rise to ciliated cells. Analysis of a Wnt reporter mouse model and different Wnt target genes showed that the Wnt signaling pathway is involved in oviductal epithelial homoeostasis. By developing two triple transgenic mouse models, we showed that Wnt/β-catenin signaling is essential for self-renewal as well as differentiation of secretory cells. In summary, our results provide mechanistic insight into oviductal epithelial homoeostasis.

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.
Cardiomyocyte gene programs encoding morphological and functional signatures in cardiac hypertrophy and failure

Nat Commun. 2018 Oct 30;9(1):4435.

2018 Oct 30

Nomura S, Satoh M, Fujita T, Higo T, Sumida T, Ko T, Yamaguchi T, Tobita T, Naito AT, Ito M, Fujita K, Harada M, Toko H, Kobayashi Y, Ito K, Takimoto E, Akazawa H, Morita H, Aburatani H, Komuro I.
PMID: 30375404 | DOI: 10.1038/s41467-018-06639-7

Pressure overload induces a transition from cardiac hypertrophy to heart failure, but its underlying mechanisms remain elusive. Here we reconstruct a trajectory of cardiomyocyte remodeling and clarify distinct cardiomyocyte gene programs encoding morphological and functional signatures in cardiac hypertrophy and failure, by integrating single-cardiomyocyte transcriptome with cell morphology, epigenomic state and heart function. During early hypertrophy, cardiomyocytes activate mitochondrial translation/metabolism genes, whose expression is correlated with cell size and linked to ERK1/2 and NRF1/2 transcriptional networks. Persistent overload leads to a bifurcation into adaptive and failing cardiomyocytes, and p53 signaling is specifically activated in late hypertrophy. Cardiomyocyte-specific p53 deletion shows that cardiomyocyte remodeling is initiated by p53-independent mitochondrial activation and morphological hypertrophy, followed by p53-dependent mitochondrial inhibition, morphological elongation, and heart failure gene program activation. Human single-cardiomyocyte analysis validates the conservation of the pathogenic transcriptional signatures. Collectively, cardiomyocyte identity is encoded in transcriptional programs that orchestrate morphological and functional phenotypes.
Cell Lineage Tracing Identifies Hormone-Regulated and Wnt-Responsive Vaginal Epithelial Stem Cells

Cell Rep

2020 Jul 04

Ali A, Syed SM, Jamaluddin MFB, Colino-Sanguino Y, Gallego-Ortega D, Tanwar PS
PMID: 32023462 | DOI: 10.1016/j.celrep.2020.01.003

The intact vaginal epithelium is essential for women's reproductive health and provides protection against HIV and sexually transmitted infections. How this epithelium maintains itself remains poorly understood. Here, we used single-cell RNA sequencing (RNA-seq) to define the diverse cell populations in the vaginal epithelium. We show that vaginal epithelial cell proliferation is limited to the basal compartment without any obvious label-retaining cells. Furthermore, we developed vaginal organoids and show that the basal cells have increased organoid forming efficiency. Importantly, Axin2 marks a self-renewing subpopulation of basal cells that gives rise to differentiated cells over time. These cells are ovariectomy-resistant stem cells as they proliferate even in the absence of hormones. Upon hormone supplementation, these cells expand and reconstitute the entire vaginal epithelium. Wnt/?-catenin is essential for the proliferation and differentiation of vaginal stem cells. Together, these data define heterogeneity in vaginal epithelium and identify vaginal epithelial stem cells
Single-cell atlas of craniogenesis uncovers SOXC-dependent, highly proliferative, and myofibroblast-like osteodermal progenitors

Cell reports

2022 Jul 12

Angelozzi, M;Pellegrino da Silva, R;Gonzalez, MV;Lefebvre, V;
PMID: 35830813 | DOI: 10.1016/j.celrep.2022.111045

The mammalian skull vault is essential to shape the head and protect the brain, but the cellular and molecular events underlying its development remain incompletely understood. Single-cell transcriptomic profiling from early to late mouse embryonic stages provides a detailed atlas of cranial lineages. It distinguishes various populations of progenitors and reveals a high expression of SOXC genes (encoding the SOX4, SOX11, and SOX12 transcription factors) early in development in actively proliferating and myofibroblast-like osteodermal progenitors. SOXC inactivation in these cells causes severe skull and skin underdevelopment due to the limited expansion of cell populations before and upon lineage commitment. SOXC genes enhance the expression of gene signatures conferring dynamic cellular and molecular properties, including actin cytoskeleton assembly, chromatin remodeling, and signaling pathway induction and responsiveness. These findings shed light onto craniogenic mechanisms and SOXC functions and suggest that similar mechanisms could decisively control many developmental, adult, pathological, and regenerative processes.
Differential Wnt signaling activity limits epithelial gland development to the anti-mesometrial side of the mouse uterus.

Dev Biol.

2017 Jan 30

Goad J, Ko YA, Kumar M, Syed SM, Tanwar PS.
PMID: 28153546 | DOI: 10.1016/j.ydbio.2017.01.015

In mice, implantation always occurs towards the antimesometrial side of the uterus, while the placenta develops at the mesometrial side. What determines this particular orientation of the implanting blastocyst remains unclear. Uterine glands are critical for implantation and pregnancy. In this study, we showed that uterine gland development and active Wnt signalling activity is limited to the antimesometrial side of the uterus. Dkk2, a known antagonist of Wnt signalling, is only present at the mesometrial side of the uterus. Imaging of whole uterus, thick uterine sections (100-1000μm), and individual glands revealed that uterine glands are simple tubes with branches that are directly connected to the luminal epithelium and are only present towards the antimesometrial side of the uterus. By developing a unique mouse model targeting the uterine epithelium, we demonstrated that Wnt/β-catenin signaling is essential for prepubertal gland formation and normal implantation, but dispensable for postpartum gland development and regeneration. Our results for the first time have provided a probable explanation for the antimesometrial bias for implantation.

Pages

  • 1
  • 2
  • 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?