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 CD4

ACD can configure probes for the various manual and automated assays for CD4 for RNAscope Assay, or for Basescope Assay compatible for your species of interest.

ACD’s data images for CD4 gene.

  • RNA expression of CD4 gene in Human Esophageal cancer sample using RNAscope™ 2.5 HD Assay Brown

  • RNA expression of CD4 gene in Human Glioma sample using RNAscope™ 2.5 HD Assay Brown

  • RNA expression of CD4 gene in Human Lymphoma sample using RNAscope™ 2.5 HD Assay Brown

  • Probes for CD4 (1042)
  • Kits & Accessories (0)
  • Support & Documents (0)
  • Publications (16)
  • Image gallery (0)
Refine Probe List

Content for comparison

Gene

  • (-) Remove CD4 filter CD4 (16)
  • TBD (7) Apply TBD filter
  • SIV (6) Apply SIV filter
  • Ifng (5) Apply Ifng filter
  • HIV (5) Apply HIV filter
  • Cd8a (4) Apply Cd8a filter
  • CXCL10 (4) Apply CXCL10 filter
  • Cd8 (4) Apply Cd8 filter
  • Foxp3 (3) Apply Foxp3 filter
  • CD3 (3) Apply CD3 filter
  • IL17A (2) Apply IL17A filter
  • IL-10 (2) Apply IL-10 filter
  • CXCL9 (2) Apply CXCL9 filter
  • SIVmac239 (2) Apply SIVmac239 filter
  • TGF-b (2) Apply TGF-b filter
  • Ifnγ (2) Apply Ifnγ filter
  • MCP-1 (1) Apply MCP-1 filter
  • CD68 (1) Apply CD68 filter
  • CCL5 (1) Apply CCL5 filter
  • Il10 (1) Apply Il10 filter
  • CTLA4 (1) Apply CTLA4 filter
  • Ccl2 (1) Apply Ccl2 filter
  • CXCR4 (1) Apply CXCR4 filter
  • CD19 (1) Apply CD19 filter
  • Prdm1 (1) Apply Prdm1 filter
  • Rorc (1) Apply Rorc filter
  • Gzmb (1) Apply Gzmb filter
  • IL4 (1) Apply IL4 filter
  • MYC (1) Apply MYC filter
  • NCR1 (1) Apply NCR1 filter
  • TCF7 (1) Apply TCF7 filter
  • Cd163 (1) Apply Cd163 filter
  • TRD (1) Apply TRD filter
  • Pax5 (1) Apply Pax5 filter
  • IRF4 (1) Apply IRF4 filter
  • NCAM1 (1) Apply NCAM1 filter
  • IL11 (1) Apply IL11 filter
  • IFN-γ (1) Apply IFN-γ filter
  • PD-L1 (1) Apply PD-L1 filter
  • HPV HR7 (1) Apply HPV HR7 filter
  • MusPV1 E6/E7 (1) Apply MusPV1 E6/E7 filter
  • E7 (1) Apply E7 filter
  • IL-12 (1) Apply IL-12 filter
  • Il-1b (1) Apply Il-1b filter
  • TNFA (1) Apply TNFA filter
  • MuLV vector RNA (1) Apply MuLV vector RNA filter
  • IFN-g (1) Apply IFN-g filter
  • Erk5 (1) Apply Erk5 filter
  • il11ra (1) Apply il11ra filter
  • PD-1 (1) Apply PD-1 filter

Product

  • RNAscope 2.5 HD Duplex (4) Apply RNAscope 2.5 HD Duplex filter
  • RNAscope (2) Apply RNAscope filter
  • RNAscope 2.5 HD Red assay (2) Apply RNAscope 2.5 HD Red assay filter
  • BASEscope Assay RED (1) Apply BASEscope Assay RED filter
  • RNAscope 2.0 Assay (1) Apply RNAscope 2.0 Assay filter
  • RNAscope Fluorescent Multiplex Assay (1) Apply RNAscope Fluorescent Multiplex Assay filter
  • RNAscope Multiplex Fluorescent Assay (1) Apply RNAscope Multiplex Fluorescent Assay filter

Research area

  • Cancer (6) Apply Cancer filter
  • Infectious Disease (3) Apply Infectious Disease filter
  • Inflammation (3) Apply Inflammation filter
  • Immunotherapy (2) Apply Immunotherapy filter
  • Other (2) Apply Other filter
  • E Coli. (1) Apply E Coli. filter
  • Gastroenterology (1) Apply Gastroenterology filter
  • Infectious Disease: Mycoplasma pneumoniae (1) Apply Infectious Disease: Mycoplasma pneumoniae filter
  • Neuroscience (1) Apply Neuroscience filter
  • Vaccine Development (1) Apply Vaccine Development filter
  • Vaccines (1) Apply Vaccines filter

Category

  • Publications (16) Apply Publications filter
Listeria delivers tetanus toxoid protein to pancreatic tumors and induces cancer cell death in mice

Science translational medicine

2022 Mar 23

Selvanesan, BC;Chandra, D;Quispe-Tintaya, W;Jahangir, A;Patel, A;Meena, K;Alves Da Silva, RA;Friedman, M;Gabor, L;Khouri, O;Libutti, SK;Yuan, Z;Li, J;Siddiqui, S;Beck, A;Tesfa, L;Koba, W;Chuy, J;McAuliffe, JC;Jafari, R;Entenberg, D;Wang, Y;Condeelis, J;DesMarais, V;Balachandran, V;Zhang, X;Lin, K;Gravekamp, C;
PMID: 35320003 | DOI: 10.1126/scitranslmed.abc1600

Pancreatic ductal adenocarcinoma (PDAC) is a highly metastatic disease. Tumors are poorly immunogenic and immunosuppressive, preventing T cell activation in the tumor microenvironment. Here, we present a microbial-based immunotherapeutic treatment for selective delivery of an immunogenic tetanus toxoid protein (TT856-1313) into PDAC tumor cells by attenuated Listeria monocytogenes. This treatment reactivated preexisting TT-specific memory T cells to kill infected tumor cells in mice. Treatment of KrasG12D,p53R172H, Pdx1-Cre (KPC) mice with Listeria-TT resulted in TT accumulation inside tumor cells, attraction of TT-specific memory CD4 T cells to the tumor microenvironment, and production of perforin and granzyme B in tumors. Low doses of gemcitabine (GEM) increased immune effects of Listeria-TT, turning immunologically cold into hot tumors in mice. In vivo depletion of T cells from Listeria-TT + GEM-treated mice demonstrated a CD4 T cell-mediated reduction in tumor burden. CD4 T cells from TT-vaccinated mice were able to kill TT-expressing Panc-02 tumor cells in vitro. In addition, peritumoral lymph node-like structures were observed in close contact with pancreatic tumors in KPC mice treated with Listeria-TT or Listeria-TT + GEM. These structures displayed CD4 and CD8 T cells producing perforin and granzyme B. Whereas CD4 T cells efficiently infiltrated the KPC tumors, CD8 T cells did not. Listeria-TT + GEM treatment of KPC mice with advanced PDAC reduced tumor burden by 80% and metastases by 87% after treatment and increased survival by 40% compared to nontreated mice. These results suggest that Listeria-delivered recall antigens could be an alternative to neoantigen-mediated cancer immunotherapy.
Simultaneous flow cytometric analysis of IFN-γ and CD4 mRNA and protein expression kinetics in human peripheral blood mononuclear cells during activation.

Cytometry A. 2014 Aug 13.

Van Hoof D, Lomas W, Hanley MB, Park E.
PMID: 25123411 | DOI: 10.1002/cyto.a.22521.

The application of fluorescently-labeled antibodies for flow cytometric identification and characterization of specific cell types within heterogeneous populations by their protein expression profile is well established. While detection of proteins is informative, concomitant transcript analysis in the same cells would provide a more complete and comprehensive view of intracellular signaling events. We recently reported on the efficient detection of RNA in suspension cells for flow cytometric analysis. The improved RNA flow cytometry procedure described here allows for the specific labeling of multiple RNA species, and is compatible with antibody-based targeting of extracellular and intracellular antigens for multiplexing purposes. To show proof of concept, human peripheral blood mononuclear cells were stimulated with phorbol 12-myristate 13-acetate and ionomycin for a maximum of 5 h, during which their CD4 and interferon-gamma (IFN-γ) transcript and protein levels were monitored. Substantial and increasing numbers of IFN-γ mRNA+ cells were detected within 30 min after initiation of induction, while IFN-γ protein+ cells could only be discerned at 1 h and beyond. Surprisingly, resting lymphocytes contained less CD4 mRNA but more of the protein per cell compared with monocytes, revealing a difference in the relationship of transcript and protein levels in these two cell types. We additionally applied monensin, which is commonly used to block cytokine secretion, and found that IFN-γ mRNA can still be analyzed consistently using the improved RNA flow cytometry staining method. Notably, a subset of IFN-γ mRNA- /protein+ cells that were not observed in the absence of monensin became apparent at the 5-h mark. This subset probably represents cells that have accumulated IFN-γ protein, but no longer transcribe mRNA. Collectively, the results described here exemplify how the improved RNA flow cytometry labeling procedure can be applied to simultaneously assess mRNA and protein dynamics to gain insight into the regulation of gene transcription and translation in individual cells. © 2014 International Society for Advancement of Cytometry.
Host IL11 Signaling Suppresses CD4+ T cell-Mediated Antitumor Responses to Colon Cancer in Mice

Cancer immunology research

2021 Apr 27

Huynh, J;Baloyan, D;Chisanga, D;Shi, W;O'Brien, M;Afshar-Sterle, S;Alorro, M;Pang, L;Williams, DS;Parslow, AC;Thilakasiri, P;Eissmann, MF;Boon, L;Masson, F;Chand, AL;Ernst, M;
PMID: 33906864 | DOI: 10.1158/2326-6066.CIR-19-1023

IL11 is a member of the IL6 family of cytokines and signals through its cognate receptor subunits, IL11RA and glycoprotein 130 (GP130), to elicit biological responses via the JAK/STAT signaling pathway. IL11 contributes to cancer progression by promoting the survival and proliferation of cancer cells, but the potential immunomodulatory properties of IL11 signaling during tumor development have thus far remained unexplored. Here, we have characterized a role for IL11 in regulating CD4+ T cell-mediated antitumor responses. Absence of IL11 signaling impaired tumor growth in a sporadic mouse model of colon cancer and syngeneic allograft models of colon cancer. Adoptive bone marrow transfer experiments and in vivo depletion studies demonstrated that the tumor-promoting activity of IL11 was mediated through its suppressive effect on host CD4+ T cells in the tumor microenvironment. Indeed, when compared with Il11ra-proficient CD4+ T cells associated with MC38 tumors, their Il11ra-deficient counterparts displayed elevated expression of mRNA encoding the antitumor mediators IFNγ and TNFα. Likewise, IL11 potently suppressed the production of proinflammatory cytokines (IFNγ, TNFα, IL6, and IL12p70) by CD4+ T cells in vitro, which we corroborated by RNAscope analysis of human colorectal cancers, where IL11RAhigh tumors showed less IFNG and CD4 expression than IL11RAlow tumors. Therefore, our results ascribe a tumor cell-extrinsic immunomodulatory role to IL11 during colon cancer development that could be amenable to an anticytokine-based therapy.See related commentary by van der Burg.
Increased T cell infiltration elicited by Erk5 deletion in a Pten-deficient mouse model of prostate carcinogenesis.

Cancer Res.

2017 May 17

Loveridge C, Mui E, Patel R, Tan EH, Ahmad I, Welsh M, Galbraith J, Hedley A, Nixon C, Blyth K, Sansom OJ, Leung HY.
PMID: 28515147 | DOI: 10.1158/0008-5472.CAN-16-2565

Prostate cancer (PCa) does not appear to respond to immune checkpoint therapies where T cell infiltration may be a key limiting factor. Here we report evidence that ablating the growth regulatory kinase Erk5 can increase T cell infiltration in an established Pten-deficient mouse model of human PCa. Mice that were doubly mutant in prostate tissue for Pten and Erk5 (prostate DKO) exhibited a markedly increased median survival with reduced tumor size and proliferation compared to control Pten-mutant mice, the latter of which exhibited increased Erk5 mRNA expression. A comparative transcriptomic analysis revealed upregulation in prostate DKO mice of the chemokines Ccl5 and Cxcl10, two potent chemoattractants for T lymphocytes. Consistent with this effect, we observed a relative increase in a predominantly CD4+ T cell infiltrate in the prostate epithelial and stroma of tumors from DKO mice. Collectively, our results offer a preclinical proof of concept for ERK5 as a target to enhance T cell infiltrates in prostate cancer, with possible implications for leveraging immune therapy in this disease.

Next-generation in situ hybridization approaches to define and quantify HIV and SIV reservoirs in tissue microenvironments

Retrovirology.

2018 Jan 09

Deleage C, Chan CN, Busman-Sahay K, Estes JD.
PMID: 29316956 | DOI: 10.1186/s12977-017-0387-9

The development of increasingly safe and effective antiretroviral treatments for human immunodeficiency virus (HIV) over the past several decades has led to vastly improved patient survival when treatment is available and affordable, an outcome that relies on uninterrupted adherence to combination antiretroviral therapy for life. Looking to the future, the discovery of an elusive 'cure' for HIV will necessitate highly sensitive methods for detecting, understanding, and eliminating viral reservoirs. Next-generation, in situ hybridization (ISH) approaches offer unique and complementary insights into viral reservoirs within their native tissue environments with a high degree of specificity and sensitivity. In this review, we will discuss how modern ISH techniques can be used, either alone or in conjunction with phenotypic characterization, to probe viral reservoir establishment and maintenance. In addition to focusing on how these techniques have already furthered our understanding of HIV reservoirs, we discuss potential avenues for how high-throughput, next-generation ISH may be applied. Finally, we will review how ISH could allow deeper phenotypic and contextual insights into HIV reservoir biology that should prove instrumental in moving the field closer to viral reservoir elimination needed for an 'HIV cure' to be realized.

Persistent Marburg Virus Infection in the Testes of Nonhuman Primate Survivors

Cell Host & Microbe

2018 Aug 30

Coffin KM, Liu J, Warren TK, Blancett CD, Kuehl KA, Nichols DK, Bearss JJ, Schellhase CW, Retterer CJ, Weidner JM, Radoshitzky SR, Brannan JM, Cardile AP, Dye JM, Palacios G, Sun MG, Kuhn JH, Bavari S, Zeng X.
PMID: - | DOI: 10.1016/j.chom.2018.08.003

Sexual transmission of filoviruses was first reported in 1968 after an outbreak of Marburg virus (MARV) disease and recently caused flare-ups of Ebola virus disease in the 2013–2016 outbreak. How filoviruses establish testicular persistence and are shed in semen remain unknown. We discovered that persistent MARV infection of seminiferous tubules, an immune-privileged site that harbors sperm production, is a relatively common event in crab-eating macaques that survived infection after antiviral treatment. Persistence triggers severe testicular damage, including spermatogenic cell depletion and inflammatory cell invasion. MARV mainly persists in Sertoli cells, leading to breakdown of the blood-testis barrier formed by inter-Sertoli cell tight junctions. This disruption is accompanied by local infiltration of immunosuppressive CD4+Foxp3+ regulatory T cells. Our study elucidates cellular events associated with testicular persistence that may promote sexual transmission of filoviruses and suggests that targeting immunosuppression may be warranted to clear filovirus persistence in damaged immune-privileged sites.

Alteration of liver-infiltrated and peripheral blood double-negative T-cells in primary biliary cholangitis.

Liver Int.

2019 May 14

Li S, Lv T, Zhang C, Wang T, Tian D, Sun G, Wang Y, Zhao X, Duan W, Chen S, Li M, Ma H, Kong Y, You H, Ou X, Chen G, Su J, Zhang D, Jia J.
PMID: 31087812 | DOI: 10.1111/liv.14136

Abstract

BACKGROUND & AIMS:

Double-negative (DN) T-cell is a unique regulatory T-cell, which is essential for maintaining immune system homeostasis. However, the role of DN T-cells in the pathogenesis of primary biliary cholangitis (PBC) is still unknown.

METHODS:

We investigated the number and function of DN T-cells in peripheral blood and liver biopsy specimens of PBC patients.

RESULTS:

The number and frequency of DN T-cells significantly decreased in peripheral blood and liver tissue of PBC patients. Furthermore, the frequency of DN T-cells in PBC was negatively correlated with disease severity and positively correlated with UDCA response. In vitro assays showed that perforin expression and the suppressive capability of DN T-cells on the proliferation of CD4+ and CD8+ T-cells were impaired in PBC. Finally, lithocholic acid, the most hydrophobic acid, could downregulate the proliferation and perforin expression of DN T-cells.

CONCLUSIONS:

Decreased quantity and function of DN T-cells in PBC may result in the loss of immune regulations on effector CD4+ and cytotoxic CD8+ T-cells, and thereby may break the immune tolerance and promote the pathogenesis of PBC. 

CARMIL2 Deficiency Presenting as Very Early Onset Inflammatory Bowel Disease.

Inflamm Bowel Dis

2019 May 22

Magg T, Shcherbina A, Arslan D, Desai MM, Wall S, Mitsialis V, Conca R, Unal E, Karacabey N, Mukhina A, Rodina Y, Taur PD, Illig D, Marquardt B, Hollizeck S, Jeske T, Gothe F, Schober T, Rohlfs M, Koletzko S, Lurz E, Muise AM, Snapper SB, Hauck F, Klein C, Kotlarz D.
PMID: 31115454 | DOI: 10.1093/ibd/izz103

BACKGROUND:

Children with very early onset inflammatory bowel diseases (VEO-IBD) often have a refractory and severe disease course. A significant number of described VEO-IBD-causing monogenic disorders can be attributed to defects in immune-related genes. The diagnosis of the underlying primary immunodeficiency (PID) often has critical implications for the treatment of patients with IBD-like phenotypes.

METHODS:

To identify the molecular etiology in 5 patients from 3 unrelated kindred with IBD-like symptoms, we conducted whole exome sequencing. Immune workup confirmed an underlying PID.

RESULTS:

Whole exome sequencing revealed 3 novel CARMIL2 loss-of-function mutations in our patients. Immunophenotyping of peripheral blood mononuclear cells showed reduction of regulatory and effector memory T cells and impaired B cell class switching. The T cell proliferation and activation assays confirmed defective responses to CD28 costimulation, consistent with CARMIL2 deficiency.

CONCLUSION:

Our study highlights that human CARMIL2 deficiency can manifest with IBD-like symptoms. This example illustrates that early diagnosis of underlying PID is crucial for the treatment and prognosis of children with VEO-IBD.

Vaccination with Mycoplasma pneumoniae membrane lipoproteins induces IL-17A driven neutrophilia that mediates Vaccine-Enhanced Disease

NPJ vaccines

2022 Jul 29

Mara, AB;Gavitt, TD;Tulman, ER;Miller, JM;He, W;Reinhardt, EM;Ozyck, RG;Goodridge, ML;Silbart, LK;Szczepanek, SM;Geary, SJ;
PMID: 35906257 | DOI: 10.1038/s41541-022-00513-w

Bacterial lipoproteins are an often-underappreciated class of microbe-associated molecular patterns with potent immunomodulatory activity. We previously reported that vaccination of BALB/c mice with Mycoplasma pneumoniae (Mp) lipid-associated membrane proteins (LAMPs) resulted in lipoprotein-dependent vaccine enhanced disease after challenge with virulent Mp, though the immune responses underpinning this phenomenon remain poorly understood. Herein, we report that lipoprotein-induced VED in a mouse model is associated with elevated inflammatory cytokines TNF-α, IL-1β, IL-6, IL-17A, and KC in lung lavage fluid and with suppurative pneumonia marked by exuberant neutrophilia in the pulmonary parenchyma. Whole-lung-digest flow cytometry and RNAScope analysis identified multiple cellular sources for IL-17A, and the numbers of IL-17A producing cells were increased in LAMPs-vaccinated/Mp-challenged animals compared to controls. Specific IL-17A or neutrophil depletion reduced disease severity in our VED model-indicating that Mp lipoproteins induce VED in an IL-17A-dependent manner and through exuberant neutrophil recruitment. IL-17A neutralization reduced levels of TNF-α, IL-1β, IL-6, and KC, indicating that IL-17A preceded other inflammatory cytokines. Surprisingly, we found that IL-17A neutralization impaired bacterial clearance, while neutrophil depletion improved it-indicating that, while IL-17A appears to confer both maladaptive and protective responses, neutrophils play an entirely maladaptive role in VED. Given that lipoproteins are found in virtually all bacteria, the potential for lipoprotein-mediated maladaptive inflammatory responses should be taken into consideration when developing vaccines against bacterial pathogens.
Rejection of benign melanocytic nevi by nevus-resident CD4+ T cells

Science advances

2021 Jun 01

Schiferle, EB;Cheon, SY;Ham, S;Son, HG;Messerschmidt, JL;Lawrence, DP;Cohen, JV;Flaherty, KT;Moon, JJ;Lian, CG;Sullivan, RJ;Demehri, S;
PMID: 34162549 | DOI: 10.1126/sciadv.abg4498

Melanoma and melanocytic nevi harbor shared lineage-specific antigens and oncogenic mutations. Yet, the relationship between the immune system and melanocytic nevi is unclear. Using a patient-derived xenograft (PDX) model, we found that 81.8% of the transplanted nevi underwent spontaneous regression, while peripheral skin remained intact. Nevus-resident CD4+ T helper 1 cells, which exhibited a massive clonal expansion to melanocyte-specific antigens, were responsible for nevus rejection. Boosting regulatory T cell suppressive function with low-dose exogenous human interleukin-2 injection or treatment with a human leukocyte antigen (HLA) class II-blocking antibody prevented nevus rejection. Notably, mice with rejected nevus PDXs were protected from melanoma tumor growth. We detected a parallel CD4+ T cell-dominant immunity in clinically regressing melanocytic nevi. These findings reveal a mechanistic explanation for spontaneous nevus regression in humans and posit the activation of nevus-resident CD4+ effector T cells as a novel strategy for melanoma immunoprevention and treatment.
Different spatial distribution of inflammatory cells in the tumor microenvironment of ABC and GBC subgroups of diffuse large B cell lymphoma

Clinical and experimental medicine

2021 May 06

Guidolin, D;Tamma, R;Annese, T;Tortorella, C;Ingravallo, G;Gaudio, F;Perrone, T;Musto, P;Specchia, G;Ribatti, D;
PMID: 33959827 | DOI: 10.1007/s10238-021-00716-w

Diffuse Large B-Cell Lymphoma (DLBCL) presents a high clinical and biological heterogeneity, and the tumor microenvironment chracteristics are important in its  progression. The aim of this study was to evaluate tumor T, B cells, macrophages and mast cells distribution in GBC and ABC DLBCL subgroups through a set of morphometric parameters allowing to provide a quantitative evaluation of the morphological features of the spatial patterns generated by these inflammatory cells.   Histological ABC and GCB samples were immunostained for CD4, CD8, CD68, CD 163, and tryptase in order to determine both percentage and position of positive cells in the tissue characterizing their spatial distribution. The results evidenced that cell patterns generated by CD4-, CD8-, CD68-, CD163- and tryptase-positive cell profiles exhibited a significantly higher uniformity index in ABC than in GCB subgroup. The positive-cell distributions appeared clustered in tissues from GCB, while in tissues from ABC such a feature was lower or absent. The combinations of spatial statistics-derived parameters can lead to better predictions of tumor cell infiltration than any classical morphometric method providing a more accurate description of the functional status of the tumor, useful for patient prognosis.
B cells, antibody-secreting cells, and virus-specific antibodies respond to herpes simplex virus 2 reactivation in skin

The Journal of clinical investigation

2021 May 03

Ford, ES;Sholukh, AM;Boytz, R;Carmack, SS;Klock, A;Phasouk, K;Shao, D;Rossenkhan, R;Edlefsen, PT;Peng, T;Johnston, C;Wald, A;Zhu, J;Corey, L;
PMID: 33784252 | DOI: 10.1172/JCI142088

Tissue-based T cells are important effectors in the prevention and control of mucosal viral infections; less is known about tissue-based B cells. We demonstrate that B cells and antibody-secreting cells (ASCs) are present in inflammatory infiltrates in skin biopsy specimens from study participants during symptomatic herpes simplex virus 2 (HSV-2) reactivation and early healing. Both CD20+ B cells, most of which are antigen inexperienced based on their coexpression of IgD, and ASCs - characterized by dense IgG RNA expression in combination with CD138, IRF4, and Blimp-1 RNA - were found to colocalize with T cells. ASCs clustered with CD4+ T cells, suggesting the potential for crosstalk. HSV-2-specific antibodies to virus surface antigens were also present in tissue and increased in concentration during HSV-2 reactivation and healing, unlike in serum, where concentrations remained static over time. B cells, ASCs, and HSV-specific antibody were rarely detected in biopsies of unaffected skin. Evaluation of samples from serial biopsies demonstrated that B cells and ASCs followed a more migratory than resident pattern of infiltration in HSV-affected genital skin, in contrast to T cells. Together, these observations suggest the presence of distinct phenotypes of B cells in HSV-affected tissue; dissecting their role in reactivation may reveal new therapeutic avenues to control these infections.

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?