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.
Viruses
2022 May 06
Fell, R;Potter, JA;Yuille, S;Salguero, FJ;Watson, R;Ngabo, D;Gooch, K;Hewson, R;Howat, D;Dowall, S;
PMID: 35632718 | DOI: 10.3390/v14050976
Cancer Discov.
2017 Mar 08
Patnaik A, Swanson KD, Csizmadia E, Solanki A, Landon-Brace N, Gehring MP, Helenius K, Olson BM, Pyzer AR, Wang LC, Elemento O, Novak J, Thornley TB, Asara JM, Montaser L, Timmons JJ, Morgan TM, Wang Y, Levantini E, Clohessy JG, Kelly K, Pandolfi PP, Rose
PMID: 28274958 | DOI: 10.1158/2159-8290.CD-16-0778
Several kinase inhibitors that target aberrant signaling pathways in tumor cells have been deployed in cancer therapy. However, their impact on the tumor immune microenvironment remains poorly understood. The tyrosine kinase inhibitor cabozantinib showed striking responses in cancer clinical trial patients across several malignancies. Here we show that cabozantinib rapidly eradicates invasive, poorly-differentiated PTEN/p53 deficient murine prostate cancer. This was associated with enhanced release of neutrophil chemotactic factors from tumor cells, including CXCL12 and HMGB1, resulting in robust infiltration of neutrophils into the tumor. Critically, cabozantinib-induced tumor clearance in mice was abolished by antibody-mediated granulocyte depletion or HMGB1 neutralization or blockade of neutrophil chemotaxis with the CXCR4 inhibitor, plerixafor. Collectively, these data demonstrate that cabozantinib triggers a neutrophil-mediated anti-cancer innate immune response, resulting in tumor clearance.
Cell Genomics
2023 Jun 01
Kleeman, S;Thakir, T;Demestichas, B;Mourikis, N;Loiero, D;Ferrer, M;Bankier, S;Riazat-Kesh, Y;Lee, H;Chantzichristos, D;Regan, C;Preall, J;Sinha, S;Rosin, N;Yipp, B;de Almeida, L;Biernaskie, J;Dufour, A;Tober-Lau, P;Ruusalepp, A;Bjorkegren, J;Ralser, M;Kurth, F;Demichev, V;Heywood, T;Gao, Q;Johannsson, G;Koelzer, V;Walker, B;Meyer, H;Janowitz, T;
| DOI: 10.1016/j.xgen.2023.100347
Science translational medicine
2023 Mar 29
Ricciardi, MJ;Rust, LN;Pedreño-Lopez, N;Yusova, S;Biswas, S;Webb, GM;Gonzalez-Nieto, L;Voigt, TB;Louw, JJ;Laurino, FD;DiBello, JR;Raué, HP;Barber-Axthelm, AM;Chun, K;Uttke, S;Raphael, LMS;Yrizarry-Medina, A;Rosen, BC;Agnor, R;Gao, L;Labriola, C;Axthelm, M;Smedley, J;Julander, JG;Bonaldo, MC;Walker, LM;Messaoudi, I;Slifka, MK;Burton, DR;Kallas, EG;Sacha, JB;Watkins, DI;Burwitz, BJ;
PMID: 36989376 | DOI: 10.1126/scitranslmed.ade5795
Engineering Technologies and Clinical Translation
2021 Sep 03
Wu, Y;Pagacz, J;Emery, S;Kron, S;Lee, S;
| DOI: 10.1016/B978-0-323-90949-5.00009-7
Appl Immunohistochem Mol Morphol.
2017 Sep 29
Gafeer MM, Hosny Mohammed K, Ormenisan-Gherasim C, Choudhary F, Siddiqui MT, Cohen C.
PMID: 28968265 | DOI: 10.1097/PAI.0000000000000595
Abstract
BACKGROUND:
Programmed death receptor and programmed death ligand (PD-L1) are immunoregulatory proteins. Nonsmall cell lung cancer bypasses the immune system through the induction of protumorigenic immunosuppressive changes. The better understanding of immunology and antitumor immune responses has brought the promising development of novel immunotherapy agents like programmed death receptor checkpoint inhibitors. The aim of this study was to investigate the expression of PD-L1 in lung adenocarcinoma (ADC), comparing 2 different technologies: immunohistochemistry (IHC) by 2 methods versus RNA in situ hybridization (RISH).
METHODOLOGY:
In total, 20 cases of ADC of the lung and 4 samples of metastatic colon ADC were selected. Evaluation of PD-L1 expression was performed by IHC and RISH. RISH was performed using RNAscope. Both methods were scored in tumor cells and quantified using combined intensity and proportion scores.
RESULTS:
Eight of 20 (40%) lung ADC and 2 of 4 (50%) colon ADC were positive for PD-L1 with Cell Signaling IHC, and 65% lung ADC were positive by Dako IHC (13/20). All 4 cases of colon ADC were negative. When evaluated by RISH, 12 lung ADC (60%) and 1 colon ADC (25%) were PD-L1 positive.
CONCLUSIONS:
RNAscope probes provide sensitive and specific detection of PD-L1 in lung ADC. Both IHC methods (Cell Signaling and Dako) show PD-L1 expression, with the Dako method more sensitive (40% vs. 65%). This study illustrates the utility of RISH and Cell Signaling IHC as complementary diagnostic tests, and Food and Drug Administration approved Dako IHC as a companion diagnostic test.
Mol Cancer Ther.
2016 Nov 30
Lin X, Huang X, Uziel T, Hessler P, Albert DH, Roberts-Rapp LA, McDaniel KF, Kati WM, Shen Y.
PMID: 27903752 | DOI: 10.1158/1535-7163.MCT-16-0475
An increasing number of BET family protein inhibitors have recently entered clinical trials. It has been reported that attempts of monitoring target engagement of the BET bromodomain inhibitor OTX015 using literature-described putative pharmacodynamic (PD) markers such as c-Myc, BRD2, etc. failed to detect PD marker responses in AML patients treated at active dose and those with clinical responses. Here we report the identification and characterization of HEXIM1 and other genes as robust PD markers for BET inhibitors. Global gene expression profiling studies were carried out using cancer cells and surrogate tissues such as whole blood and skin to identify genes that are modulated by BET family proteins. Candidate markers were further characterized for concentration- and time-dependent responses to the BET inhibitor ABBV-075 in vitro and in vivo. HEXIM1 was found to be the only gene that exhibited robust and consistent modulation by BET inhibitors across multiple cancer indications and surrogate tissues. Markers such as SERPINI1, ZCCHC24, and ZMYND8 were modulated by ABBV-075 and other BET inhibitors across cancer cell lines and xenograft tumors but not in blood and skin. Significant down-regulation of c-Myc, a well-publicized target of BET inhibitors, was largely restricted to hematological cancer cell lines. Incorporating well-characterized PD markers such as HEXIM1 and other genes described here can provide a better understanding of potential efficacy and toxicity associated with inhibiting BET family proteins and informs early clinical decisions on BET inhibitor development programs.
Oncotarget.
2018 May 25
Bu DX, Singh R, Choi EE, Ruella M, Nunez-Cruz S, Mansfield KG, Bennett P, Barton N, Wu Q, Zhang J, Wang Y, Wei L, Cogan S, Ezell T, Joshi S, Latimer KJ, Granda B, Tschantz WR, Young RM, Huet HA, Richardson CJ, Milone MC.
PMID: 29899820 | DOI: 10.18632/oncotarget.25359
Multiple myeloma has a continued need for more effective and durable therapies. B cell maturation antigen (BCMA), a plasma cell surface antigen and member of the tumor necrosis factor (TNF) receptor superfamily, is an attractive target for immunotherapy of multiple myeloma due to its high prevalence on malignant plasma cells. The current work details the pre-clinical evaluation of BCMA expression and development of a chimeric antigen receptor (CAR) targeting this antigen using a fully human single chain variable fragment (scFv). We demonstrate that BCMA is prevalently, but variably expressed by all MM with expression on 25-100% of malignant plasma cells. Extensive Immunohistochemical analysis of normal tissue expression using commercially available polyclonal antibodies demonstrated expression within B-lineage cells across a number of tissues as expected. Based upon the highly restricted expression of BCMA within normal tissues, we generated a set of novel, fully human scFv binding domains to BCMA by screening a naïve B-cell derived phage display library. Using a series of in vitro and pre-clinical in vivo studies, we identified a scFv with high specificity for BCMA and robust anti-myeloma activity when used as the binding domain of a second-generation CAR bearing a CD137 costimulatory domain. This BCMA-specific CAR is currently being evaluated in a Phase 1b clinical study in relapsed and refractory MM patients (NCT02546167).
Science immunology
2022 Jun 24
Hansen, SG;Hancock, MH;Malouli, D;Marshall, EE;Hughes, CM;Randall, KT;Morrow, D;Ford, JC;Gilbride, RM;Selseth, AN;Trethewy, RE;Bishop, LM;Oswald, K;Shoemaker, R;Berkemeier, B;Bosche, WJ;Hull, M;Silipino, L;Nekorchuk, M;Busman-Sahay, K;Estes, JD;Axthelm, MK;Smedley, J;Shao, D;Edlefsen, PT;Lifson, JD;Früh, K;Nelson, JA;Picker, LJ;
PMID: 35714200 | DOI: 10.1126/sciimmunol.abn9301
British journal of haematology
2022 Jul 27
Weinstock, M;Elavalakanar, P;Bright, S;Ambati, SR;Brouwer-Visser, J;Pourpe, S;Fiaschi, N;Jankovic, V;Thurston, G;Deering, RP;Chaudhry, A;Joyce, R;Arnason, J;
PMID: 35892294 | DOI: 10.1111/bjh.18383
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
Cancer cell
2022 Oct 07
Zhang, X;Zhang, C;Qiao, M;Cheng, C;Tang, N;Lu, S;Sun, W;Xu, B;Cao, Y;Wei, X;Wang, Y;Han, W;Wang, H;
PMID: 36240777 | DOI: 10.1016/j.ccell.2022.09.013
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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