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 (67)
  • 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
  • (-) Remove DRD1 filter DRD1 (42)
  • 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
  • (-) Remove MALAT1 filter MALAT1 (24)
  • SOX2 (24) Apply SOX2 filter
  • Ccl2 (24) Apply Ccl2 filter

Product

  • RNAscope Fluorescent Multiplex Assay (18) Apply RNAscope Fluorescent Multiplex Assay filter
  • RNAscope Multiplex Fluorescent Assay (17) Apply RNAscope Multiplex Fluorescent Assay filter
  • RNAscope (10) Apply RNAscope filter
  • RNAscope 2.5 HD Brown Assay (5) Apply RNAscope 2.5 HD Brown Assay filter
  • RNAscope Multiplex Fluorescent v2 (5) Apply RNAscope Multiplex Fluorescent v2 filter
  • RNAscope 2.0 Assay (4) Apply RNAscope 2.0 Assay filter
  • RNAscope 2.5 HD Red assay (2) Apply RNAscope 2.5 HD Red assay filter
  • RNAscope 2.5 LS Assay (1) Apply RNAscope 2.5 LS Assay filter

Research area

  • Neuroscience (41) Apply Neuroscience filter
  • Cancer (12) Apply Cancer filter
  • lncRNA (9) Apply lncRNA filter
  • Addiction (3) Apply Addiction filter
  • Behavior (3) Apply Behavior filter
  • behavioral (3) Apply behavioral filter
  • LncRNAs (3) Apply LncRNAs filter
  • Feeding Behavior (2) Apply Feeding Behavior filter
  • Psychiatry (2) Apply Psychiatry filter
  • Stem cell (2) Apply Stem cell filter
  • Alzheimer’s disease (1) Apply Alzheimer’s disease filter
  • anorexia nervosa (1) Apply anorexia nervosa filter
  • CRISPR/dCas9 (1) Apply CRISPR/dCas9 filter
  • Development (1) Apply Development filter
  • Diabetic Kidney Disease (1) Apply Diabetic Kidney Disease filter
  • DYT1dystonia (1) Apply DYT1dystonia filter
  • Endocrinology (1) Apply Endocrinology filter
  • Grooming behavior dysfunction (1) Apply Grooming behavior dysfunction filter
  • Huntington’s Disease (1) Apply Huntington’s Disease filter
  • Metabolic (1) Apply Metabolic filter
  • Neurobiology (1) Apply Neurobiology filter
  • Nueroscience (1) Apply Nueroscience filter
  • Obesity (1) Apply Obesity filter
  • OCD (1) Apply OCD filter
  • Other: Drug Development (1) Apply Other: Drug Development filter
  • Other: Heart (1) Apply Other: Heart filter
  • Other: Metabolism (1) Apply Other: Metabolism filter
  • Other:: Eyes (1) Apply Other:: Eyes filter
  • Parkinson's Disease (1) Apply Parkinson's Disease filter
  • Psychiatric Disorders (1) Apply Psychiatric Disorders filter
  • Reproduction (1) Apply Reproduction filter
  • Reward Processing (1) Apply Reward Processing filter
  • Reward seeking (1) Apply Reward seeking filter
  • Sex Differences (1) Apply Sex Differences filter
  • Stress (1) Apply Stress filter
  • Stress Related Eating (1) Apply Stress Related Eating filter
  • TNAs (1) Apply TNAs filter
  • Tramautic Stress (1) Apply Tramautic Stress filter

Category

  • Publications (67) Apply Publications filter
Genetic labeling reveals spatial and cellular expression pattern of neuregulin 1 in mouse brain

Cell & bioscience

2023 May 05

Ding, CY;Ding, YT;Ji, H;Wang, YY;Zhang, X;Yin, DM;
PMID: 37147705 | DOI: 10.1186/s13578-023-01032-4

Where the gene is expressed determines the function of the gene. Neuregulin 1 (Nrg1) encodes a tropic factor and is genetically linked with several neuropsychiatry diseases such as schizophrenia, bipolar disorder and depression. Nrg1 has broad functions ranging from regulating neurodevelopment to neurotransmission in the nervous system. However, the expression pattern of Nrg1 at the cellular and circuit levels in rodent brain is not full addressed.Here we used CRISPR/Cas9 techniques to generate a knockin mouse line (Nrg1Cre/+) that expresses a P2A-Cre cassette right before the stop codon of Nrg1 gene. Since Cre recombinase and Nrg1 are expressed in the same types of cells in Nrg1Cre/+ mice, the Nrg1 expression pattern can be revealed through the Cre-reporting mice or adeno-associated virus (AAV) that express fluorescent proteins in a Cre-dependent way. Using unbiased stereology and fluorescence imaging, the cellular expression pattern of Nrg1 and axon projections of Nrg1-positive neurons were investigated.In the olfactory bulb (OB), Nrg1 is expressed in GABAergic interneurons including periglomerular (PG) and granule cells. In the cerebral cortex, Nrg1 is mainly expressed in the pyramidal neurons of superficial layers that mediate intercortical communications. In the striatum, Nrg1 is highly expressed in the Drd1-positive medium spiny neurons (MSNs) in the shell of nucleus accumbens (NAc) that project to substantia nigra pars reticulata (SNr). In the hippocampus, Nrg1 is mainly expressed in granule neurons in the dentate gyrus and pyramidal neurons in the subiculum. The Nrg1-expressing neurons in the subiculum project to retrosplenial granular cortex (RSG) and mammillary nucleus (MM). Nrg1 is highly expressed in the median eminence (ME) of hypothalamus and Purkinje cells in the cerebellum.Nrg1 is broadly expressed in mouse brain, mainly in neurons, but has unique expression patterns in different brain regions.
Phosphorylated Mechanistic Target of Rapamycin (p-mTOR) and Noncoding RNA Expression in Follicular and Hürthle Cell Thyroid Neoplasm

Endocr Pathol.

2017 Jun 28

Covach A, Patel S, Hardin H, Lloyd RV.
PMID: 28660408 | DOI: 10.1007/s12022-017-9490-7

Oncocytic (Hürthle cell) and follicular neoplasms are related thyroid tumors with distinct molecular profiles. Diagnostic criteria separating adenomas and carcinomas for these two types of neoplasms are similar, but there may be some differences in the biological behavior of Hürthle cell and follicular carcinomas. Recent studies have shown that noncoding RNAs may have diagnostic and prognostic utility in separating benign and malignant Hürthle cell and follicular neoplasms. In this study, we examined expression of various noncoding RNAs including metastasis associated lung adenocarcinoma transcript 1 (MALAT1) and miR-RNA-885-5p (miR-885) in distinguishing between benign and malignant neoplasms. In addition, the expression of phosphorylated mechanistic receptor of rapamycin (p-mTOR) was also analyzed in these two groups of tumors. Tissue microarrays (TMAs) with archived tissue samples were analyzed using in situ hybridization (ISH) for MALAT1 and miR-885 and immunohistochemistry (IHC) for p-mTOR. Quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) was also performed on a subset of the cases.MALAT1 and miR-885 were increased in all neoplastic groups compared to the normal thyroid tissues (p < 0.05). MALAT1 was more highly expressed in HCCs compared to FTCs, although the differences were not statistically significant (p = 0.06). MiR-885 was expressed at similar levels in FTCs and HCCs. P-mTOR protein was more highly expressed in FTCs than in HCCs (p<0.001). qRT-PCR analysis of noncoding RNAs supported the ISH findings. These results indicate that the noncoding RNAs MALAT1 and miR-885 show increased expression in neoplastic follicular and Hürthle cell thyroid neoplasms compared to normal thyroid tissues. P-mTOR was most highly expressed in FTC but was also increased in HCC, suggesting that drugs targeting this pathway may be useful for treatment of tumors unresponsive to conventional therapies.

Elevated prefrontal dopamine interferes with the stress-buffering properties of behavioral control in female rats

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology

2022 Sep 08

McNulty, CJ;Fallon, IP;Amat, J;Sanchez, RJ;Leslie, NR;Root, DH;Maier, SF;Baratta, MV;
PMID: 36076018 | DOI: 10.1038/s41386-022-01443-w

Stress-linked disorders are more prevalent in women than in men and differ in their clinical presentation. Thus, investigating sex differences in factors that promote susceptibility or resilience to stress outcomes, and the circuit elements that mediate their effects, is important. In male rats, instrumental control over stressors engages a corticostriatal system involving the prelimbic cortex (PL) and dorsomedial striatum (DMS) that prevent many of the sequelae of stress exposure. Interestingly, control does not buffer against stress outcomes in females, and here, we provide evidence that the instrumental controlling response in females is supported instead by the dorsolateral striatum (DLS). Additionally, we used in vivo microdialysis, fluorescent in situ hybridization, and receptor subtype pharmacology to examine the contribution of prefrontal dopamine (DA) to the differential impact of behavioral control. Although both sexes preferentially expressed D1 receptor mRNA in PL GABAergic neurons, there were robust sex differences in the dynamic properties of prefrontal DA during controllable stress. Behavioral control potently attenuated stress-induced DA efflux in males, but not females, who showed a sustained DA increase throughout the entire stress session. Importantly, PL D1 receptor blockade (SCH 23390) shifted the proportion of striatal activity from the DLS to the DMS in females and produced the protective effects of behavioral control. These findings suggest a sex-selective mechanism in which elevated DA in the PL biases instrumental responding towards prefrontal-independent striatal circuitry, thereby eliminating the protective impact of coping with stress.
MALAT1 Long Non-coding RNA Expression in Thyroid Tissues: Analysis by In Situ Hybridization and Real-Time PCR.

Endocr Pathol.

2016 Sep 30

Zhang R, Hardin H, Huang W, Chen J, Asioli S, Righi A, Maletta F, Sapino A, Lloyd RV.
PMID: 27696303 | DOI: 10.1007/s12022-016-9453-4

Long non-coding RNAs (lncRNAs) are important for transcription and for epigenetic or posttranscriptional regulation of gene expression and may contribute to carcinogenesis. Metastasis-associated lung adenocarcinoma transcript 1 (MALAT1), an lncRNA involved in the regulation of the cell cycle, cell proliferation, and cell migration, is known to be deregulated in multiple cancers. Here, we analyzed the expression of MALAT1 on 195 cases of benign and malignant thyroid neoplasms by using tissue microarrays for RNA in situ hybridization (ISH) and real-time PCR. MALAT1 is highly expressed in normal thyroid (NT) tissues and thyroid tumors, with increased expression during progression from NT to papillary thyroid carcinomas (PTCs) but is downregulated in poorly differentiated thyroid cancers (PDCs) and anaplastic thyroid carcinomas (ATCs) compared to NT. Induction of epithelial to mesenchymal transition (EMT) by transforming growth factor (TGF)-beta in a PTC cell line (TPC1) led to increased MALAT1 expression, supporting a role for MALAT1 in EMT in thyroid tumors. This is the first ISH study of MALAT1 expression in thyroid tissues. It also provides the first piece of evidence suggesting MALAT1 downregulation in certain thyroid malignancies. Our findings support the notion that ATCs may be molecularly distinct from low-grade thyroid malignancies and suggest that MALAT1 may function both as an oncogene and as a tumor suppressor in different types of thyroid tumors.

Long non-coding RNA chromogenic in situ hybridisation signal pattern correlation with breast tumour pathology.

J Clin Pathol.

2015 Aug 31

Zhang Z, Weaver DL, Olsen D, deKay J, Peng Z, Ashikaga T, Evans MF.
PMID: 26323944 | DOI: 10.1136/jclinpath-2015-203275

Abstract

AIM:
Long non-coding RNAs (lncRNAs) are potential biomarkers for breast cancer risk stratification. LncRNA expression has been investigated primarily by RNA sequencing, quantitative reverse transcription PCR or microarray techniques. In this study, six breast cancer-implicated lncRNAs were investigated by chromogenic in situ hybridisation (CISH).

METHODS:
Invasive breast carcinoma (IBC), ductal carcinoma in situ (DCIS) and normal adjacent (NA) breast tissues from 52 patients were screened by CISH. Staining was graded by modified Allred scoring.

RESULTS:
HOTAIR, H19 and KCNQ1OT1 had significantly higher expression levels in IBC and DCIS than NA (p<0.05), and HOTAIR and H19 were expressed more strongly in IBC than in DCIS tissues (p<0.05). HOTAIR and KCNQ101T were expressed in tumour cells; H19 and MEG3 were expressed in stromal microenvironment cells; MALAT1 was expressed in all cells strongly and ZFAS1 was negative or weakly expressed in all specimens.

CONCLUSION:
These data corroborate the involvement of three lncRNAs (HOTAIR, H19 and KCNQ1OT1) in breast tumourigenesis and support lncRNA CISH as a potential clinical assay. Importantly, CISH allows identification of the tissue compartment expressing lncRNA.

Malat1 deficiency prevents neonatal heart regeneration by inducing cardiomyocyte binucleation

JCI insight

2023 Mar 08

Aslan, GS;Jaé, N;Manavski, Y;Fouani, Y;Shumliakivska, M;Kettenhausen, L;Kirchhof, L;Günther, S;Fischer, A;Luxán, G;Dimmeler, S;
PMID: 36883566 | DOI: 10.1172/jci.insight.162124

The adult mammalian heart has limited regenerative capacity, while the neonatal heart fully regenerates during the first week of life. Postnatal regeneration is mainly driven by proliferation of preexisting cardiomyocytes and supported by proregenerative macrophages and angiogenesis. Although the process of regeneration has been well studied in the neonatal mouse, the molecular mechanisms that define the switch between regenerative and nonregenerative cardiomyocytes are not well understood. Here, using in vivo and in vitro approaches, we identified the lncRNA Malat1 as a key player in postnatal cardiac regeneration. Malat1 deletion prevented heart regeneration in mice after myocardial infarction on postnatal day 3 associated with a decline in cardiomyocyte proliferation and reparative angiogenesis. Interestingly, Malat1 deficiency increased cardiomyocyte binucleation even in the absence of cardiac injury. Cardiomyocyte-specific deletion of Malat1 was sufficient to block regeneration, supporting a critical role of Malat1 in regulating cardiomyocyte proliferation and binucleation, a landmark of mature nonregenerative cardiomyocytes. In vitro, Malat1 deficiency induced binucleation and the expression of a maturation gene program. Finally, the loss of hnRNP U, an interaction partner of Malat1, induced similar features in vitro, suggesting that Malat1 regulates cardiomyocyte proliferation and binucleation by hnRNP U to control the regenerative window in the heart.
The Impact of lncRNA on Diabetic Kidney Disease: Systematic Review and In Silico Analyses

Computational intelligence and neuroscience

2022 Apr 27

Zhao, Y;Yan, G;Mi, J;Wang, G;Yu, M;Jin, D;Tong, X;Wang, X;
PMID: 35528328 | DOI: 10.1155/2022/8400106

Long noncoding RNA (lncRNA) is involved in the occurrence and development of diabetic kidney disease (DKD). It is necessary to identify the expression of lncRNA from DKD patients through systematic reviews, and then carry out silico analyses to recognize the dysregulated lncRNA and their associated pathways.The study searched Pubmed, Embase, Cochrane Library, WanFang, VIP, CNKI, and CBM to find lncRNA studies on DKD published before March 1, 2021. Systematic review of the literature on this topic was conducted to determine the expression of lncRNA in DKD and non-DKD controls. For the dysregulated lncRNA in DKD patients, silico analysis was performed, and lncRNA2Target v2.0 and starBase were used to search for potential target genes of lncRNA. The Encyclopedia of Genomics (KEGG) pathway enrichment analysis was performed to better identify dysregulated lncRNAs in DKD and determine the associated signal pathways.According to the inclusion and exclusion criteria, 28 publications meeting the eligibility criteria were included in the systematic evaluation. A total of 3,394 patients were enrolled in this study, including 1,238 patients in DKD group, and 1,223 diabetic patients, and 933 healthy adults in control group. Compared with the control, there were eight lncRNA disorders in DKD patients (MALAT1, GAS5, MIAT, CASC2, NEAT1, NR_033515, ARAP1-AS2, and ARAP1-AS1). In addition, five lncRNAs (MALAT1, GAS5, MIAT, CASC2, and NEAT1) participated in disease-related signal pathways, indicating their role in DKD. Discussion. This study showed that there were eight lncRNAs in DKD that were persistently dysregulated, especially five lncRNAs which were closely related to the disease. Although systematic review included 28 studies that analyzed the expression of lncRNA in DKD-related tissues, the potential of these dysregulated lncRNAs as biomarkers or therapeutic targets for DKD remains to be further explored. Trial registration. PROSPERO (CRD42021248634).
Gene-targeted, CREB-mediated induction of ΔFosB controls distinct downstream transcriptional patterns within D1 and D2 medium spiny neurons

Biological Psychiatry

2021 Jul 01

Lardner, C;van der Zee, Y;Estill, M;Kronman, H;Salery, M;Cunningham, A;Godino, A;Parise, E;Kim, J;Neve, R;Shen, L;Hamilton, P;Nestler, E;
| DOI: 10.1016/j.biopsych.2021.06.017

Background The onset and persistence of addiction phenotypes are, in part, mediated by transcriptional mechanisms in the brain that affect gene expression and subsequently neural circuitry. ΔFosB is a transcription factor that accumulates in the nucleus accumbens (NAc) – a brain region responsible for coordinating reward and motivation – after exposure to virtually every known rewarding substance, including cocaine and opioids. ΔFosB has also been shown to directly control gene transcription and behavior downstream of both cocaine and opioid exposure, but with potentially different roles in D1 and D2 medium spiny neurons (MSNs) in NAc. Methods To clarify MSN subtype-specific roles for ΔFosB, and investigate how these coordinate the actions of distinct classes of addictive drugs in NAc, we developed a CRISPR/Cas9-based epigenome editing tool to induce endogenous ΔFosB expression in vivo in the absence of drug exposure. After inducing ΔFosB in D1 or D2 MSNs, or both, we performed RNA-sequencing on bulk male and female NAc tissue (N = 6-8/group). Results We find that ΔFosB induction elicits distinct transcriptional profiles in NAc by MSN subtype and by sex, establishing for the first time that ΔFosB mediates different transcriptional effects in males vs females. We also demonstrate that changes in D1 MSNs, but not in D2 MSNs or both, significantly recapitulate changes in gene expression induced by cocaine self-administration. Conclusions Together, these findings demonstrate the efficacy of a novel molecular tool for studying cell-type-specific transcriptional mechanisms, and shed new light on the activity of ΔFosB, a critical transcriptional regulator of drug addiction.
Reward and aversion processing by input-defined parallel nucleus accumbens circuits in mice

Nature communications

2022 Oct 21

Zhou, K;Xu, H;Lu, S;Jiang, S;Hou, G;Deng, X;He, M;Zhu, Y;
PMID: 36271048 | DOI: 10.1038/s41467-022-33843-3

The nucleus accumbens (NAc) is critical in mediating reward seeking and is also involved in negative emotion processing, but the cellular and circuitry mechanisms underlying such opposing behaviors remain elusive. Here, using the recently developed AAV1-mediated anterograde transsynaptic tagging technique in mice, we show that NAc neurons receiving basolateral amygdala inputs (NAcBLA) promote positive reinforcement via disinhibiting dopamine neurons in the ventral tegmental area (VTA). In contrast, NAc neurons receiving paraventricular thalamic inputs (NAcPVT) innervate GABAergic neurons in the lateral hypothalamus (LH) and mediate aversion. Silencing the synaptic output of NAcBLA neurons impairs reward seeking behavior, while silencing of NAcPVT or NAcPVT→LH pathway abolishes aversive symptoms of opiate withdrawal. Our results elucidate the afferent-specific circuit architecture of the NAc in controlling reward and aversion.
MicroRNA-21 and long non-coding RNA MALAT1 are overexpressed markers in medullary thyroid carcinoma

Experimental and Molecular Pathology

2017 Oct 26

Chu YH, Hardin H, Schneider DF, Chen H, Lloyd RV.
PMID: 29107050 | DOI: 10.1016/j.yexmp.2017.10.002

Abstract

BACKGROUND:

Non-coding RNAs, including microRNAs (miRNAs) and long non-coding RNAs (lncRNAs), are well-recognized post-transcriptional regulators of gene expression. This study examines the expression of microRNA-21 (miR-21) and lncRNA MALAT1 in medullary thyroid carcinomas (MTCs) and their effects on tumor behavior.

METHODS:

Tissue microarrays (TMAs) were constructed using normal thyroid (n=39), primary tumors (N=39) and metastatic MTCs (N=18) from a total of 42 MTC cases diagnosed between 1987 and 2016. In situ hybridization with probes for miR-21 and MALAT1 was performed. PCR quantification of expression was performed in a subset of normal thyroid (N=10) and primary MTCs (N=32). An MTC-derived cell line (MZ-CRC-1) was transfected with small interfering RNAs (siRNAs) targeting miR-21 and MALAT1 to determine the effects on cell proliferation and invasion.

RESULTS:

In situ hybridization (ISH) showed strong (2+ to 3+) expression of miR-21 in 17 (44%) primary MTCs and strong MALAT1 expression in 37 (95%) primary MTCs. Real-time PCR expression of miR-21 (P<0.001) and MALAT1 (P=0.038) in primary MTCs were significantly higher than in normal thyroid, supporting the ISH findings. Experiments with siRNAs showed inhibition of miR-21 and MALAT1 expression in the MTC-derived cell line, leading to significant decreases in cell proliferation (P<0.05) and invasion (P<0.05).

CONCLUSION:

There is increased expression of miR-21 and MALAT1 in MTCs. This study also showed an in vitro pro-oncogenic effect of MALAT1 and miR-21 in MTCs. The results suggest that overexpression of miR-21 and MALAT1 may regulate MTC progression.

Investigating cell-specific effects of FMRP deficiency on spiny projection neurons in a mouse model of Fragile X syndrome

Frontiers in cellular neuroscience

2023 May 30

Giua, G;Lassalle, O;Makrini-Maleville, L;Valjent, E;Chavis, P;Manzoni, OJJ;
PMID: 37323585 | DOI: 10.3389/fncel.2023.1146647

Fragile X syndrome (FXS), resulting from a mutation in the Fmr1 gene, is the most common monogenic cause of autism and inherited intellectual disability. Fmr1 encodes the Fragile X Messenger Ribonucleoprotein (FMRP), and its absence leads to cognitive, emotional, and social deficits compatible with the nucleus accumbens (NAc) dysfunction. This structure is pivotal in social behavior control, consisting mainly of spiny projection neurons (SPNs), distinguished by dopamine D1 or D2 receptor expression, connectivity, and associated behavioral functions. This study aims to examine how FMRP absence differentially affects SPN cellular properties, which is crucial for categorizing FXS cellular endophenotypes.We utilized a novel Fmr1-/y::Drd1a-tdTomato mouse model, which allows in-situ identification of SPN subtypes in FXS mice. Using RNA-sequencing, RNAScope and ex-vivo patch-clamp in adult male mice NAc, we comprehensively compared the intrinsic passive and active properties of SPN subtypes.Fmr1 transcripts and their gene product, FMRP, were found in both SPNs subtypes, indicating potential cell-specific functions for Fmr1. The study found that the distinguishing membrane properties and action potential kinetics typically separating D1- from D2-SPNs in wild-type mice were either reversed or abolished in Fmr1-/y::Drd1a-tdTomato mice. Interestingly, multivariate analysis highlighted the compound effects of Fmr1 ablation by disclosing how the phenotypic traits distinguishing each cell type in wild-type mice were altered in FXS.Our results suggest that the absence of FMRP disrupts the standard dichotomy characterizing NAc D1- and D2-SPNs, resulting in a homogenous phenotype. This shift in cellular properties could potentially underpin select aspects of the pathology observed in FXS. Therefore, understanding the nuanced effects of FMRP absence on SPN subtypes can offer valuable insights into the pathophysiology of FXS, opening avenues for potential therapeutic strategies.
Antisense oligonucleotides selectively suppress target RNA in nociceptive neurons of the pain system and can ameliorate mechanical pain

Pain.

2018 Jan 01

Mohan A, Fitzsimmons B, Zhao HT, Jiang Y, Mazur C, Swayze EE, Kordasiewicz HB.
PMID: 28976422 | DOI: 10.1097/j.pain.0000000000001074

There is an urgent need for better treatments for chronic pain, which affects more than 1 billion people worldwide. Antisense oligonucleotides (ASOs) have proven successful in treating children with spinal muscular atrophy, a severe infantile neurological disorder, and several compounds based on ASOs are currently being tested in clinical trials for various neurological disorders. Here we characterize the pharmacodynamic activity of ASOs in spinal cord and dorsal root ganglia (DRG), key tissues for pain signaling. We demonstrate that the activity of ASOs lasts up to 2 months after a single intrathecal bolus dose in the spinal cord. Interestingly, comparison of subcutaneous, central intracerebroventricular and intrathecal administration shows DRGs are targetable by systemic and central delivery of ASOs, while target reduction in the spinal cord is achieved only after direct central delivery. Upon detailed characterization of ASO activity in individual cell populations in DRG, we observe robust target suppression in all neuronal populations thereby establishing that ASOs are effective in the cell populations involved in pain propagation. Furthermore, we confirm that ASOs are selective and do not modulate basal pain sensation. We also demonstrate that ASOs targeting the sodium channel Nav1.7 induce sustained analgesia up to 4 weeks. Taken together, our findings support the idea that ASOs possess the required pharmacodynamic properties, along with a long duration of action beneficial for treating pain.

Pages

  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 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?