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.
Journal of Vascular Surgery
2017 Apr 20
Kasashima S, Kawashima A, Zen Y, Ozaki S, Kasashima F, Endo M, Matsumoto Y, Kawakami K.
PMID: 28434701 | DOI: 10.1016/j.jvs.2016.12.140
Veterinary Immunology and Immunopathology
2018 May 19
Albarrak SM, Waters WR, Stabel JR, Hostetter JM.
PMID: - | DOI: 10.1016/j.vetimm.2018.05.003
In the present study, we evaluated expression of IFN-γ, IL-17, TNF-α, IL-10 and TGF-β by mucosal cells, including WC1+ γδ T cells, in ileal tissues taken from non-infected cattle and cattle naturally infected with Mycobacterium avium subsp paratuberculosis (MAP). Infected cattle were either in the subclinical or clinical stage of infection. We hypothesized that the cytokine profile of the WC1+ γδ T cell subset would be different between subclinical and clinical cattle. Our data indicate a significant increase in the numbers of WC1+ γδ T cells expressing IL-10 in clinical cattle compared to subclinical and non-infected cattle. We observed a significant increase in TGF-β expression by non-WC1+ cells in clinically infected cattle. Expression of IFN-γ, IL-17 and TNF-α in mucosal cells, including the WC1+ γδ T cell subset, was identified in all examined groups. However, our data indicate that the stage of infection did not significantly influence expression of these proinflammatory cytokines. This study demonstrates changes in the cytokine mRNA expression profile of mucosal cells in the ileum, and specifically WC1+ γδ T cells, as cattle progress to the clinical disease. The change is characterized by an increase in expression of anti-inflammatory cytokines.
Journal of Crohn's and Colitis
2017 Aug 16
Wildenberg ME, Levin AD, Ceroni A, Guo Z, Koelink PJ, Hakvoort TBM, Westera L, Bloemendaal FM, Brandse JF, Simmons A, D’Haens GR, Ebner D, van den Brink GR.
PMID: - | DOI: 10.1093/ecco-jcc/jjx104
Abstract
Background and Aims
Regulatory macrophages play a critical role in tissue repair, and we have previously shown that anti-tumour necrosis factor [TNF] antibodies induce these macrophages in vitro and in vivo in IBD patients. The induction of regulatory macrophages can be potentiated using the combination of anti-TNF and thiopurines, consistent with the enhanced efficacy of this combination therapy described in clinical trials. As thiopurines are unfortunately associated with significant side effects, we here aimed to identify alternatives for combination therapy with anti-TNF, using the macrophage induction model as a screening tool.
Methods
Mixed lymphocyte reactions were treated with anti-TNF and a library of 1600 drug compounds. Induction of CD14+CD206+ macrophages was analysed by flow cytometry. Positive hits were validated in vitro and in the T cell transfer model of colitis.
Results
Among the 98 compounds potentiating the induction of regulatory macrophages by anti-TNF were six benzimidazoles, including albendazole. Albendazole treatment in the presence of anti-TNF resulted in alterations in the tubulin skeleton and signalling though AMPK, which was required for the enhanced induction. Combination therapy also increased expression levels of the immunoregulatory cytokine IL-10. In vivo, albendazole plus anti-TNF combination therapy was superior to monotherapy in a model of colitis, in terms of both induction of regulatory macrophages and improvement of clinical symptoms.
Conclusions
Albendazole enhances the induction of regulatory macrophages by anti-TNF and potentiates clinical efficacy in murine colitis. Given its favourable safety profile, these data indicate that the repurposing of albendazole may be a novel option for anti-TNF combination therapy in IBD.
J Neuroinflammation.
2017 Mar 24
Barrett JP, Henry RJ, Villapol S, Stoica BA, Kumar A, Burns MP, Faden AI, Loane DJ.
PMID: 28340575 | DOI: 10.1186/s12974-017-0843-4
J Neuropathol Exp Neurol.
2017 Dec 11
Zapka Z, Dörner E, Dreschmann V, Sakamato N, Kristiansen G, Calaminus G, Vokuhl C, MD, Leuschner I, Pietsch T.
PMID: 29237087 | DOI: 10.1093/jnen/nlx106
Central nervous system germinomas are characterized by a massive immune cell infiltrate. We systematically characterized these immune cells in 28 germinomas by immunophenotyping and image analysis. mRNA expression was analyzed by Nanostring technology and in situ RNA hybridization. Tumor infiltrating lymphocytes (TILs) were composed of 61.8% ± 3.1% (mean ± SE) CD3-positive T cells, including 45.2% ± 3.5% of CD4-positive T-helper cells, 23.4% ± 1.5% of CD8-positive cytotoxic T cells, 5.5% ± 0.9% of FoxP3-positive regulatory T cells, and 11.9% ±1.3% PD-1-positive TILs. B cells accounted for 35.8% ± 2.9% of TILs and plasma cells for 9.3% ± 1.6%. Tumor-associated macrophages consisted of clusters of activated PD-L1-positive macrophages and interspersed anti-inflammatory macrophages expressing CD163. Germinoma cells did not express PD-L1. Expression of genes encoding immune cell markers and cytokines was high and comparable to mRNA levels in lymph node tissue. IFNG and IL10 mRNA was detected in subfractions of TILs and in PD-L1-positive macrophages. Taken together, the strong immune reaction observed in germinomas involves inflammatory as well as various suppressive mechanisms. Expression of PD-1 and PD-L1 and infiltration of cytotoxic T cells are biomarkers predictive of response to anti-PD-1/PD-L1 therapies, constituting a rationale for possible novel treatment approaches.
Nature Metabolism
2019 Mar 25
Morgantini C, Jager J, Li X, Levi L, Azzimato V, Sulen A, Barreby E, Xu C, Tencerova M, Näslund E, Kumar C, Verdeguer F, Straniero S, Hultenby K, Björkström NK, Ellis E, Rydén M, Kutter C, Hurrell T, Lauschke VM, Boucher J, Tomčala A, Krejčová G, Bajgar A and Aouadi M
| DOI: 10.1038/s42255-019-0044-9
Nature metabolism
2021 May 01
Mills, EL;Harmon, C;Jedrychowski, MP;Xiao, H;Garrity, R;Tran, NV;Bradshaw, GA;Fu, A;Szpyt, J;Reddy, A;Prendeville, H;Danial, NN;Gygi, SP;Lynch, L;Chouchani, ET;
PMID: 34002097 | DOI: 10.1038/s42255-021-00389-5
Description | ||
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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 | |
EnEm | Probe targets exons n and m | |
En-Em | Probe 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 |
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