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Search

Probes for TNF

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

  • Probes for TNF (0)
  • Kits & Accessories (0)
  • Support & Documents (0)
  • Publications (4)
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Refine Probe List

Content for comparison

Gene

  • Tnf (884) Apply Tnf filter
  • Tnfsf11 (234) Apply Tnfsf11 filter
  • Tnfrsf12a (202) Apply Tnfrsf12a filter
  • TNFRSF11A (172) Apply TNFRSF11A filter
  • TNFRSF11B (171) Apply TNFRSF11B filter
  • TNFAIP3 (167) Apply TNFAIP3 filter
  • TNFRSF1A (147) Apply TNFRSF1A filter
  • TNFSF13 (144) Apply TNFSF13 filter
  • TNFSF8 (144) Apply TNFSF8 filter
  • TNFRSF1B (136) Apply TNFRSF1B filter
  • TNFRSF8 (116) Apply TNFRSF8 filter
  • TNFRSF4 (110) Apply TNFRSF4 filter
  • TNFSF13B (108) Apply TNFSF13B filter
  • TNFRSF6B (108) Apply TNFRSF6B filter
  • TNFRSF13C (100) Apply TNFRSF13C filter
  • Traf6 (98) Apply Traf6 filter
  • TNFAIP6 (72) Apply TNFAIP6 filter
  • TNFRSF25 (72) Apply TNFRSF25 filter
  • TRAF3 (72) Apply TRAF3 filter
  • TRAF2 (72) Apply TRAF2 filter
  • Traf1 (72) Apply Traf1 filter
  • TNFAIP1 (72) Apply TNFAIP1 filter
  • TNFRSF10A (64) Apply TNFRSF10A filter
  • TNFSF10 (42) Apply TNFSF10 filter
  • TNFSF12 (40) Apply TNFSF12 filter
  • Traf7 (40) Apply Traf7 filter
  • TNFRSF17 (37) Apply TNFRSF17 filter
  • TNFSF15 (36) Apply TNFSF15 filter
  • Tnfrsf21 (36) Apply Tnfrsf21 filter
  • TNFRSF9 (36) Apply TNFRSF9 filter
  • Tnfaip8l1 (36) Apply Tnfaip8l1 filter
  • TRAP1 (36) Apply TRAP1 filter
  • TNFAIP2 (36) Apply TNFAIP2 filter
  • Tnfaip8l3 (36) Apply Tnfaip8l3 filter
  • C1QTNF12 (36) Apply C1QTNF12 filter
  • RELT (36) Apply RELT filter
  • C1qtnf4 (36) Apply C1qtnf4 filter
  • Tnfaip8 (36) Apply Tnfaip8 filter
  • Litaf (36) Apply Litaf filter
  • LOC101098755 (36) Apply LOC101098755 filter
  • Traf4 (36) Apply Traf4 filter
  • C1QTNF3 (35) Apply C1QTNF3 filter
  • C1qtnf6 (35) Apply C1qtnf6 filter
  • TRAF5 (34) Apply TRAF5 filter
  • CD40 (30) Apply CD40 filter
  • TNFRSF10B (28) Apply TNFRSF10B filter
  • Tnfsf4 (27) Apply Tnfsf4 filter
  • TNFSF14 (4) Apply TNFSF14 filter
  • C1qtnf1 (4) Apply C1qtnf1 filter
  • C1QTNF8 (4) Apply C1QTNF8 filter

Product

  • RNAscope Multiplex Fluorescent Assay (3) Apply RNAscope Multiplex Fluorescent Assay filter
  • RNAscope 2.5 HD Reagent Kit - BROWN (1) Apply RNAscope 2.5 HD Reagent Kit - BROWN filter

Research area

  • Cancer (3) Apply Cancer filter
  • Inflammation (2) Apply Inflammation filter

Category

  • Publications (4) Apply Publications filter
No catalog probe was found for the gene = "TNF".
RNAscope™ Made-to-Order Probe can be designed for you. Please fill out this form.
Made-to-Order Probe
Cytokine RNA In Situ Hybridization Permits Individualized Molecular Phenotyping in Biopsies of Psoriasis and Atopic Dermatitis

JID Innovations

2021 Jun 01

Wang, A;Fogel, A;Murphy, M;Panse, G;McGeary, M;McNiff, J;Bosenberg, M;Vesely, M;Cohen, J;Ko, C;King, B;Damsky, W;
| DOI: 10.1016/j.xjidi.2021.100021

Detection of individual cytokines in routine biopsies from patients with inflammatory skin diseases has the potential to personalize diagnosis and treatment selection, but this approach has been limited by technical feasibility. We evaluate whether a chromogen-based RNA in situ hybridization approach can be used to detect druggable cytokines in psoriasis and atopic dermatitis. A series of psoriasis (n = 20) and atopic dermatitis (n = 26) biopsies were stained using RNA in situ hybridization for IL4, IL12B (IL-12/23 p40), IL13, IL17A, IL17F, IL22, IL23A (IL-23 p19), IL31, and TNF (TNF-α). NOS2 and IFNG, canonical psoriasis biomarkers, were also included. All 20 of the psoriasis cases were positive for IL17A, which tended to be the predominant cytokine, although some cases had relatively higher levels of IL12B, IL17F, or IL23A. The majority of cytokine expression in psoriasis was epidermal. A total of 22 of 26 atopic dermatitis cases were positive for IL13, also at varying levels; a subset of cases had significant IL4, IL22, or IL31 expression. Patterns were validated in independent bulk RNA-sequencing and single-cell RNA-sequencing datasets. Overall, RNA in situ hybridization for cytokines appears highly specific with virtually no background staining and may allow for individualized evaluation of treatment-relevant cytokine targets in biopsies from patients with inflammatory skin disorders.
Linear ubiquitination-induced necrotic tumor remodeling elicits immune evasion

FEBS letters

2023 Apr 15

Sasaki, K;Hayamizu, Y;Murakami, R;Toi, M;Iwai, K;
PMID: 37060248 | DOI: 10.1002/1873-3468.14623

Tumor-elicited inflammation confers tumorigenic properties, including cell death resistance, proliferation, or immune evasion. To focus on inflammatory signaling in tumors, we investigated linear ubiquitination, which enhances the nuclear factor-κB signaling pathway and prevents extrinsic programmed cell death under inflammatory environments. Here, we showed that linear ubiquitination was augmented especially in tumor cells around a necrotic core. Linear ubiquitination allowed melanomas to tolerate the hostile tumor microenvironment and to extend a necrosis-containing morphology. Loss of linear ubiquitination resulted in few necrotic lesions and growth regression, further leading to repression of innate anti-PD-1 therapy resistance signatures in melanoma as well as activation of interferon responses and antigen presentation that promote immune-mediated tumor eradication. Collectively, linear ubiquitination promotes tumor-specific tissue remodeling and the ensuing immune evasion.
Checkpoint Blockade-Induced Dermatitis and Colitis Are Dominated by Tissue-Resident Memory T Cells and Th1/Tc1 Cytokines

Cancer immunology research

2022 Oct 04

Reschke, R;Shapiro, JW;Yu, J;Rouhani, SJ;Olson, DJ;Zha, Y;Gajewski, TF;
PMID: 35977003 | DOI: 10.1158/2326-6066.CIR-22-0362

Immune checkpoint blockade is therapeutically successful for many patients across multiple cancer types. However, immune-related adverse events (irAE) frequently occur and can sometimes be life threatening. It is critical to understand the immunologic mechanisms of irAEs with the goal of finding novel treatment targets. Herein, we report our analysis of tissues from patients with irAE dermatitis using multiparameter immunofluorescence (IF), spatial transcriptomics, and RNA in situ hybridization (RISH). Skin psoriasis cases were studied as a comparison, as a known Th17-driven disease, and colitis was investigated as a comparison. IF analysis revealed that CD4+ and CD8+ tissue-resident memory T (TRM) cells were preferentially expanded in the inflamed portion of skin in cutaneous irAEs compared with healthy skin controls. Spatial transcriptomics allowed us to focus on areas containing TRM cells to discern functional phenotype and revealed expression of Th1-associated genes in irAEs, compared with Th17-asociated genes in psoriasis. Expression of PD-1, CTLA-4, LAG-3, and other inhibitory receptors was observed in irAE cases. RISH technology combined with IF confirmed expression of IFNγ, CXCL9, CXCL10, and TNFα in irAE dermatitis, as well as IFNγ within TRM cells specifically. The Th1-skewed phenotype was confirmed in irAE colitis cases compared with healthy colon.
Longitudinal single-cell RNA-seq analysis reveals stress-promoted chemoresistance in metastatic ovarian cancer

Science advances

2022 Feb 25

Zhang, K;Erkan, EP;Jamalzadeh, S;Dai, J;Andersson, N;Kaipio, K;Lamminen, T;Mansuri, N;Huhtinen, K;Carpén, O;Hietanen, S;Oikkonen, J;Hynninen, J;Virtanen, A;Häkkinen, A;Hautaniemi, S;Vähärautio, A;
PMID: 35196078 | DOI: 10.1126/sciadv.abm1831

Chemotherapy resistance is a critical contributor to cancer mortality and thus an urgent unmet challenge in oncology. To characterize chemotherapy resistance processes in high-grade serous ovarian cancer, we prospectively collected tissue samples before and after chemotherapy and analyzed their transcriptomic profiles at a single-cell resolution. After removing patient-specific signals by a novel analysis approach, PRIMUS, we found a consistent increase in stress-associated cell state during chemotherapy, which was validated by RNA in situ hybridization and bulk RNA sequencing. The stress-associated state exists before chemotherapy, is subclonally enriched during the treatment, and associates with poor progression-free survival. Co-occurrence with an inflammatory cancer-associated fibroblast subtype in tumors implies that chemotherapy is associated with stress response in both cancer cells and stroma, driving a paracrine feed-forward loop. In summary, we have found a resistant state that integrates stromal signaling and subclonal evolution and offers targets to overcome chemotherapy resistance.
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

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