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
  • 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
  • (-) Remove PECAM1 filter PECAM1 (32)
  • 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 Multiplex Fluorescent Assay (14) Apply RNAscope Multiplex Fluorescent Assay filter
  • RNAscope Fluorescent Multiplex Assay (10) Apply RNAscope Fluorescent Multiplex Assay filter
  • RNAscope 2.5 HD Red assay (3) Apply RNAscope 2.5 HD Red assay filter
  • RNAscope Multiplex Fluorescent v2 (3) Apply RNAscope Multiplex Fluorescent v2 filter
  • RNAscope 2.5 HD Duplex (2) Apply RNAscope 2.5 HD Duplex filter
  • RNAscope (1) Apply RNAscope filter
  • RNAscope 2.5 LS Assay (1) Apply RNAscope 2.5 LS Assay filter
  • RNAscope HiPlex v2 assay (1) Apply RNAscope HiPlex v2 assay filter

Research area

  • Neuroscience (25) Apply Neuroscience filter
  • Other (6) Apply Other filter
  • Development (3) Apply Development filter
  • Inflammation (3) Apply Inflammation filter
  • Cancer (2) Apply Cancer filter
  • Sleep (2) Apply Sleep filter
  • Stem Cells (2) Apply Stem Cells filter
  • Cardiovascular Disease (1) Apply Cardiovascular Disease filter
  • Cell Biology (1) Apply Cell Biology filter
  • CGT (1) Apply CGT filter
  • Covid (1) Apply Covid filter
  • diabetes (1) Apply diabetes filter
  • Immunotherapy (1) Apply Immunotherapy filter
  • Liver (1) Apply Liver filter
  • Molecular Biology (1) Apply Molecular Biology filter
  • Nueroscience (1) Apply Nueroscience filter
  • Other: Heart (1) Apply Other: Heart filter
  • Other: Hypertension (1) Apply Other: Hypertension filter
  • Other: Kidney (1) Apply Other: Kidney filter
  • Other: Lung Disease (1) Apply Other: Lung Disease filter
  • Others: Methods (1) Apply Others: Methods filter
  • Sequencing (1) Apply Sequencing filter
  • Single Cell (1) Apply Single Cell filter

Category

  • Publications (46) Apply Publications filter
Single-nucleus RNA sequencing in ischemic cardiomyopathy reveals common transcriptional profile underlying end-stage heart failure

Cell reports

2023 Feb 14

Simonson, B;Chaffin, M;Hill, MC;Atwa, O;Guedira, Y;Bhasin, H;Hall, AW;Hayat, S;Baumgart, S;Bedi, KC;Margulies, KB;Klattenhoff, CA;Ellinor, PT;
PMID: 36790929 | DOI: 10.1016/j.celrep.2023.112086

Ischemic cardiomyopathy (ICM) is the leading cause of heart failure worldwide, yet the cellular and molecular signature of this disease is largely unclear. Using single-nucleus RNA sequencing (snRNA-seq) and integrated computational analyses, we profile the transcriptomes of over 99,000 human cardiac nuclei from the non-infarct region of the left ventricle of 7 ICM transplant recipients and 8 non-failing (NF) controls. We find the cellular composition of the ischemic heart is significantly altered, with decreased cardiomyocytes and increased proportions of lymphatic, angiogenic, and arterial endothelial cells in patients with ICM. We show that there is increased LAMININ signaling from endothelial cells to other cell types in ICM compared with NF. Finally, we find that the transcriptional changes that occur in ICM are similar to those in hypertrophic and dilated cardiomyopathies and that the mining of these combined datasets can identify druggable genes that could be used to target end-stage heart failure.
Anatomical barriers against SARS-CoV-2 neuroinvasion at vulnerable interfaces visualized in deceased COVID-19 patients

Neuron

2022 Nov 10

Khan, M;Clijsters, M;Choi, S;Backaert, W;Claerhout, M;Couvreur, F;Van Breda, L;Bourgeois, F;Speleman, K;Klein, S;Van Laethem, J;Verstappen, G;Dereli, AS;Yoo, SJ;Zhou, H;Dan Do, TN;Jochmans, D;Laenen, L;Debaveye, Y;De Munter, P;Gunst, J;Jorissen, M;Lagrou, K;Meersseman, P;Neyts, J;Thal, DR;Topsakal, V;Vandenbriele, C;Wauters, J;Mombaerts, P;Van Gerven, L;
PMID: 36446381 | DOI: 10.1016/j.neuron.2022.11.007

Can SARS-CoV-2 hitchhike on the olfactory projection and take a direct and short route from the nose into the brain? We reasoned that the neurotropic or neuroinvasive capacity of the virus, if it exists, should be most easily detectable in individuals who died in an acute phase of the infection. Here, we applied a postmortem bedside surgical procedure for the rapid procurement of tissue, blood, and cerebrospinal fluid samples from deceased COVID-19 patients infected with the Delta, Omicron BA.1, or Omicron BA.2 variants. Confocal imaging of sections stained with fluorescence RNAscope and immunohistochemistry afforded the light-microscopic visualization of extracellular SARS-CoV-2 virions in tissues. We failed to find evidence for viral invasion of the parenchyma of the olfactory bulb and the frontal lobe of the brain. Instead, we identified anatomical barriers at vulnerable interfaces, exemplified by perineurial olfactory nerve fibroblasts enwrapping olfactory axon fascicles in the lamina propria of the olfactory mucosa.
TREM2-independent oligodendrocyte, astrocyte, and T cell responses to tau and amyloid pathology in mouse models of Alzheimer disease

Cell reports

2021 Dec 28

Lee, SH;Rezzonico, MG;Friedman, BA;Huntley, MH;Meilandt, WJ;Pandey, S;Chen, YJ;Easton, A;Modrusan, Z;Hansen, DV;Sheng, M;Bohlen, CJ;
PMID: 34965428 | DOI: 10.1016/j.celrep.2021.110158

Non-neuronal responses in neurodegenerative disease have received increasing attention as important contributors to disease pathogenesis and progression. Here we utilize single-cell RNA sequencing to broadly profile 13 cell types in three different mouse models of Alzheimer disease (AD), capturing the effects of tau-only, amyloid-only, or combined tau-amyloid pathology. We highlight microglia, oligodendrocyte, astrocyte, and T cell responses and compare them across these models. Notably, we identify two distinct transcriptional states for oligodendrocytes emerging differentially across disease models, and we determine their spatial distribution. Furthermore, we explore the impact of Trem2 deletion in the context of combined pathology. Trem2 knockout mice exhibit severely blunted microglial responses to combined tau and amyloid pathology, but responses from non-microglial cell types (oligodendrocytes, astrocytes, and T cells) are relatively unchanged. These results delineate core transcriptional states that are engaged in response to AD pathology, and how they are influenced by a key AD risk gene, Trem2.
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.
Mapping the populations of neurotensin neurons in the male mouse brain.

Neuropeptides

2019 May 06

Schroeder LE, Furdock R, Quiles CR, Kurt G, Perez-Bonilla P, Garcia A, Colon-Ortiz C, Brown J, Bugescu R, Leinninger GM.
PMID: - | DOI: 10.1016/j.npep.2019.05.001

Abstract

Neurotensin (Nts) is a neuropeptide implicated in the regulation of many facets of physiology, including cardiovascular tone, pain processing, ingestive behaviors, locomotor drive, sleep, addiction and social behaviors. Yet, there is incomplete understanding about how the various populations of Nts neurons distributed throughout the brain mediate such physiology. This knowledge gap largely stemmed from the inability to simultaneously identify Nts cell bodies and manipulate them in vivo. One means of overcoming this obstacle is to study NtsCremice crossed onto a Cre-inducible green fluorescent reporter line (NtsCre;GFP mice), as these mice permit both visualization and in vivo modulation of specific populations of Nts neurons (using Cre-inducible viral and genetic tools) to reveal their function. Here we provide a comprehensive characterization of the distribution and relative densities of the Nts-GFP populations observed throughout the male NtsCre;GFP mouse brain, which will pave the way for future work to define their physiologic roles. We also compared the distribution of Nts-GFP neurons with Nts-In situ Hybridization (Nts-ISH) data from the adult mouse brain. By comparing these data sets we can distinguish Nts-GFP populations that may only transiently express Nts during development but not in the mature brain, and hence which populations may not be amenable to Cre-mediated manipulation in adult NtsCre;GFPmice. This atlas of Nts-GFP neurons will facilitate future studies using the NtsCre;GFP line to describe the physiological functions of individual Nts populations and how modulating them may be useful to treat disease.

Inflammatory Cytokine TNFα Promotes the Long-Term Expansion of Primary Hepatocytes in 3D Culture.

Cell

2018 Nov 29

Peng WC, Logan CY, Fish M, Anbarchian T, Aguisanda F, Álvarez-Varela A, Wu P, Jin Y, Zhu J, Li B, Grompe M, Wang B, Nusse R.
PMID: - | DOI: 10.1016/j.cell.2018.11.012

In the healthy adult liver, most hepatocytes proliferate minimally. However, upon physical or chemical injury to the liver, hepatocytes proliferate extensively in vivo under the direction of multiple extracellular cues, including Wnt and pro-inflammatory signals. Currently, liver organoids can be generated readily in vitro from bile-duct epithelial cells, but not hepatocytes. Here, we show that TNFα, an injury-induced inflammatory cytokine, promotes the expansion of hepatocytes in 3D culture and enables serial passaging and long-term culture for more than 6 months. Single-cell RNA sequencing reveals broad expression of hepatocyte markers. Strikingly, in vitro-expanded hepatocytes engrafted, and significantly repopulated, the injured livers of Fah −/− mice. We anticipate that tissue repair signals can be harnessed to promote the expansion of otherwise hard-to-culture cell-types, with broad implications.

A molecular atlas of cell types and zonation in the brain vasculature

Nature.

2018 Feb 14

Vanlandewijck M, He L, Mäe MA, Andrae J, Ando K, Del Gaudio F, Nahar K, Lebouvier T, Laviña B, Gouveia L, Sun Y, Raschperger E, Räsänen M, Zarb Y, Mochizuki N, Keller A, Lendahl U, Betsholtz C.
PMID: 29443965 | DOI: 10.1038/nature25739

Cerebrovascular disease is the third most common cause of death in developed countries, but our understanding of the cells that compose the cerebral vasculature is limited. Here, using vascular single-cell transcriptomics, we provide molecular definitions for the principal types of blood vascular and vessel-associated cells in the adult mouse brain. We uncover the transcriptional basis of the gradual phenotypic change (zonation) along the arteriovenous axis and reveal unexpected cell type differences: a seamless continuum for endothelial cells versus a punctuated continuum for mural cells. We also provide insight into pericyte organotypicity and define a population of perivascular fibroblast-like cells that are present on all vessel types except capillaries. Our work illustrates the power of single-cell transcriptomics to decode the higher organizational principles of a tissue and may provide the initial chapter in a molecular encyclopaedia of the mammalian vasculature.

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.
Tailoring vascular phenotype through AAV therapy promotes anti-tumor immunity in glioma

Cancer cell

2023 Jun 12

Ramachandran, M;Vaccaro, A;van de Walle, T;Georganaki, M;Lugano, R;Vemuri, K;Kourougkiaouri, D;Vazaios, K;Hedlund, M;Tsaridou, G;Uhrbom, L;Pietilä, I;Martikainen, M;van Hooren, L;Olsson Bontell, T;Jakola, AS;Yu, D;Westermark, B;Essand, M;Dimberg, A;
PMID: 37172581 | DOI: 10.1016/j.ccell.2023.04.010

Glioblastomas are aggressive brain tumors that are largely immunotherapy resistant. This is associated with immunosuppression and a dysfunctional tumor vasculature, which hinder T cell infiltration. LIGHT/TNFSF14 can induce high endothelial venules (HEVs) and tertiary lymphoid structures (TLS), suggesting that its therapeutic expression could promote T cell recruitment. Here, we use a brain endothelial cell-targeted adeno-associated viral (AAV) vector to express LIGHT in the glioma vasculature (AAV-LIGHT). We found that systemic AAV-LIGHT treatment induces tumor-associated HEVs and T cell-rich TLS, prolonging survival in αPD-1-resistant murine glioma. AAV-LIGHT treatment reduces T cell exhaustion and promotes TCF1+CD8+ stem-like T cells, which reside in TLS and intratumoral antigen-presenting niches. Tumor regression upon AAV-LIGHT therapy correlates with tumor-specific cytotoxic/memory T cell responses. Our work reveals that altering vascular phenotype through vessel-targeted expression of LIGHT promotes efficient anti-tumor T cell responses and prolongs survival in glioma. These findings have broader implications for treatment of other immunotherapy-resistant cancers.
Single-cell RNA transcriptome landscape of hepatocytes and non-parenchymal cells in healthy and NAFLD mouse liver

iScience

2021 Nov 01

Su, Q;Kim, S;Adewale, F;Zhou, Y;Aldler, C;Ni, M;Wei, Y;Burczynski, M;Atwal, G;Sleeman, M;Murphy, A;Xin, Y;Cheng, X;
| DOI: 10.1016/j.isci.2021.103233

Nonalcoholic fatty liver disease (NAFLD) is a global health-care problem with limited therapeutic options. To obtain a cellular resolution of pathogenesis, 82,168 single-cell transcriptomes (scRNA-seq) across different NAFLD stages were profiled, identifying hepatocytes and 12 other non-parenchymal cell (NPC) types. scRNA-seq revealed insights into the cellular and molecular mechanisms of the disease. We discovered a dual role for hepatic stellate cells in gene expression regulation and in the potential to trans-differentiate into myofibroblasts. We uncovered distinct expression profiles of Kupffer cells versus monocyte-derived macrophages during NAFLD progression. Kupffer cells showed stronger immune responses, while monocyte-derived macrophages demonstrated a capability for differentiation. Three chimeric NPCs were identified including endothelial-chimeric stellate cells, hepatocyte-chimeric endothelial cells, and endothelial-chimeric Kupffer cells. Our work identified unanticipated aspects of mouse with NAFLD at the single-cell level and advanced the understanding of cellular heterogeneity in NAFLD livers.
Neuronal atlas of the dorsal horn defines its architecture and links sensory input to transcriptional cell types.

Nat Neurosci.

2018 Apr 23

Häring M, Zeisel A, Hochgerner H, Rinwa P, Jakobsson JET, Lönnerberg P, La Manno G, Sharma N, Borgius L, Kiehn O, Lagerström MC, Linnarsson S, Ernfors P.
PMID: 29686262 | DOI: 10.1038/s41593-018-0141-1

The dorsal horn of the spinal cord is critical to processing distinct modalities of noxious and innocuous sensation, but little is known of the neuronal subtypes involved, hampering efforts to deduce principles governing somatic sensation. Here we used single-cell RNA sequencing to classify sensory neurons in the mouse dorsal horn. We identified 15 inhibitory and 15 excitatory molecular subtypes of neurons, equaling the complexity in cerebral cortex. Validating our classification scheme in vivo and matching cell types to anatomy of the dorsal horn by spatial transcriptomics reveals laminar enrichment for each of the cell types. Neuron types, when combined, define a multilayered organization with like neurons layered together. Employing our scheme, we find that heat and cold stimuli activate discrete sets of both excitatory and inhibitory neuron types. This work provides a systematic and comprehensive molecular classification of spinal cord sensory neurons, enabling functional interrogation of sensory processing.

Sensory Afferents Use Different Coding Strategies for Heat and Cold.

Cell Rep.

2018 May 15

Wang F, Bélanger E, Côté SL, Desrosiers P, Prescott SA, Côté DC, De Koninck Y.
PMID: 29768200 | DOI: 10.1016/j.celrep.2018.04.065

Primary afferents transduce environmental stimuli into electrical activity that is transmitted centrally to be decoded into corresponding sensations. However, it remains unknown how afferent populations encode different somatosensory inputs. To address this, we performed two-photon Ca2+ imaging from thousands of dorsal root ganglion (DRG) neurons in anesthetized mice while applying mechanical and thermal stimuli to hind paws. We found that approximately half of all neurons are polymodal and that heat and cold are encoded very differently. As temperature increases, more heating-sensitive neurons are activated, and most individual neurons respond more strongly, consistent with graded coding at population and single-neuron levels, respectively. In contrast, most cooling-sensitive neurons respond in an ungraded fashion, inconsistent with graded coding and suggesting combinatorial coding, based on which neurons are co-activated. Although individual neurons may respond to multiple stimuli, our results show that different stimuli activate distinct combinations of diversely tuned neurons, enabling rich population-level coding.

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?