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.
The Journal of clinical investigation
2021 Dec 14
Yadav, VK;Berger, JM;Singh, P;Nagarajan, P;Karsenty, G;
PMID: 34905510 | DOI: 10.1172/JCI153752
Chest
2022 Jun 14
Melero, I;Villalba-Esparza, M;Recalde-Zamacona, B;Jiménez-Sánchez, D;Teijeira, Á;Argueta, A;García-Tobar, L;Álvarez-Gigli, L;Sainz, C;Garcia-Ros, D;Toledo, E;Abengozar-Muela, M;Fernández-Alonso, M;Rodríguez-Mateos, M;Reina, G;Carmona-Torre, F;Quiroga, JA;Del Pozo, JL;Cross, A;López-Janeiro, Á;Hardisson, D;Echeveste, JI;Lozano, MD;Ho, LP;Klenerman, P;Issa, F;Landecho, MF;de Andrea, CE;
PMID: 35714708 | DOI: 10.1016/j.chest.2022.06.007
Human molecular genetics
2022 Aug 11
Bando, H;Brinkmeier, ML;Castinetti, F;Fang, Q;Lee, MS;Saveanu, A;Albarel, F;Dupuis, C;Brue, T;Camper, SA;
PMID: 35951005 | DOI: 10.1093/hmg/ddac192
Nature communications
2021 Nov 03
Jarmas, AE;Brunskill, EW;Chaturvedi, P;Salomonis, N;Kopan, R;
PMID: 34732708 | DOI: 10.1038/s41467-021-26626-9
Cellular and molecular gastroenterology and hepatology
2021 Dec 29
Kim, TY;Kim, S;Kim, Y;Lee, YS;Lee, S;Lee, SH;Kweon, MN;
PMID: 34971821 | DOI: 10.1016/j.jcmgh.2021.12.015
Ann Oncol.
2017 Jun 08
Sanmamed MF, Perez-Gracia JL, Schalper KA, Fusco JP, Gonzalez A, Rodriguez-Ruiz ME, Oñate C, Perez G, Alfaro C, Martín-Algarra S, Andueza MP, Gurpide A, Morgado M, Wang J, Bacchiocchi A, Halaban R, Kluger H, Chen L, Sznol M, Melero I.
PMID: 28595336 | DOI: 10.1093/annonc/mdx190
Abstract
Background
Surrogate biomarkers of efficacy are needed for anti-PD1/PD-L1 therapy, given the existence of delayed responses and pseudo-progressions. We evaluated changes in serum IL-8 levels as a biomarker of response to anti-PD-1 blockade in melanoma and non-small cell lung cancer (NSCLC) patients.
Patients and methods
Metastatic melanoma and NSCLC patients treated with nivolumab or pembrolizumab alone or nivolumab plus ipilimumab, were studied. Serum was collected at baseline; at 2-4 weeks after the first dose; and at the time-points of response evaluation. Serum IL-8 levels were determined by sandwich ELISA. Changes in serum IL-8 levels were compared with the Wilcoxon test and their strength of association with response was assessed with the Mann-Whitney test. Accuracy of changes in IL-8 levels to predict response was estimated using receiver operation characteristics (ROC) curves.
Results
Twenty-nine melanoma patients treated with nivolumab or pembrolizumab were studied. In responding patients, serum IL-8 levels significantly decreased between baseline and best response (P < .001), and significantly increased upon progression (P = .004). In non-responders, IL-8 levels significantly increased between baseline and progression (P = .013). Early changes in serum IL-8 levels (2-4 weeks after treatment initiation) were strongly associated with response (P < .001). These observations were validated in 19 NSCLC patients treated with nivolumab or pembrolizumab (P = .001), and in 15 melanoma patients treated with nivolumab plus ipilimumab (P < .001). Early decreases in serum IL-8 levels were associated with longer overall survival in melanoma (P = .001) and NSCLC (P = .015) patients. Serum IL-8 levels also correctly reflected true response in 3 cancer patients presenting pseudoprogression.
Conclusions
Changes in serum IL-8 levels could be used to monitor and predict clinical benefit from immune checkpoint blockade in melanoma and NSCLC patients.
Am J Respir Cell Mol Biol.
2016 Nov 01
Prandini P, De Logu F, Fusi C, Provezza L, Nassini R, Montagner G, Materazzi S, Munari S, Gilioli E, Bezzerri V, Finotti A, Lampronti I, Tamanini A, Dechecchi MC, Lippi G, Ribeiro CM, Rimessi A, Pinton P, Gambari R, Geppetti P, Cabrini G.
PMID: 27281024 | DOI: 10.1165/rcmb.2016-0089OC
Pseudomonas aeruginosa colonization, prominent inflammation with massive expression of the neutrophil chemokine IL-8, and luminal infiltrates of neutrophils are hallmarks of chronic lung disease in patients with cystic fibrosis (CF). The nociceptive transient receptor potential ankyrin (TRPA) 1 calcium channels have been recently found to be involved in nonneurogenic inflammation. Here, we investigate the role of TRPA1 in CF respiratory inflammatory models in vitro. Expression of TRPA1 was evaluated in CF lung tissue sections and cells by immunohistochemistry and immunofluorescence. Epithelial cell lines (A549, IB3-1, CuFi-1, CFBE41o-) and primary cells from patients with CF were used to: (1) check TRPA1 function modulation, by Fura-2 calcium imaging; (2) down-modulate TRPA1 function and expression, by pharmacological inhibitors (HC-030031 and A-967079) and small interfering RNA silencing; and (3) assess the effect of TRPA1 down-modulation on expression and release of cytokines upon exposure to proinflammatory challenges, by quantitative RT-PCR and 27-protein Bioplex assay. TRPA1 channels are expressed in the CF pseudostratified columnar epithelium facing the bronchial lumina exposed to bacteria, where IL-8 is coexpressed. Inhibition of TRPA1 expression results in a relevant reduction of release of several cytokines, including IL-8 and the proinflammatory cytokines IL-1β and TNF-α, in CF primary bronchial epithelial cells exposed to P. aeruginosa and to the supernatant of mucopurulent material derived from the chronically infected airways of patients with CF. In conclusion, TRPA1 channels are involved in regulating the extent of airway inflammation driven by CF bronchial epithelial cells.
Clin Cancer Res.
2019 Apr 19
Piskol R, Huw LY, Sergin I, Klijn C, Modrusan Z, Kim D, Kljavin NM, Tam R, Patel R, Burton J, Penuel E, Qu X, Koeppen H, Sumiyoshi T, de Sauvage FJ, Lackner MR, de Sousa E Melo F, Kabbarah O.
PMID: 31004000 | DOI: 10.1158/1078-0432.CCR-18-3032
Abstract
PURPOSE:
Four consensus molecular subtypes (CMS1-4) of colorectal cancer (CRC) were identified in primary tumors and found to be associated with distinctive biological features and clinical outcomes. Given that distant metastasis largely accounts for CRC-related mortality, we examined the molecular and clinical attributes of CMS in metastatic CRC (mCRC).
EXPERIMENTAL DESIGN:
We developed a CRC-focused Nanostring based CMS classifier that is ideally suited to interrogate archival tissues. We successfully employ this panel in the CMS classification of FFPE tissues from mCRC cohorts, one of which is comprised of paired primary tumors and metastases. Finally, we developed novel mouse implantation models to enable modelling of CRC in vivo at relevant sites.
RESULTS:
Using our classifier we find that the biological hallmarks of mCRC, including CMS, are in general highly similar to those observed in non-metastatic early stage disease. Importantly, our data demonstrate that CMS1 has the worst outcome in relapsed disease, compared to other CMS. Assigning CMS to primary tumors and their matched metastases revealed mostly concordant subtypes between primary and metastasis. Molecular analysis of matched discordant pairs revealed differences in stromal composition at each site. The development of two novel in vivo orthotopic implantation models further reinforces the notion that extrinsic factors may impact on CMS identification in matched primary and metastatic CRC.
CONCLUSION:
We describe the utility of a Nanostring panel for CMS classification of FFPE clinical samples. Our work reveals the impact of intrinsic and extrinsic factors on CRC heterogeneity during disease progression.
Short KR, Veeris R, Leijten LM, van den Brand JM, Jong VL, Stittelaar K, Osterhaus ADME, Andeweg A, van Riel D.
2017 Jun 16
Short KR, Veeris R, Leijten LM, van den Brand JM, Jong VL, Stittelaar K, Osterhaus ADME, Andeweg A, van Riel D.
PMID: - | DOI: 10.1093/infdis/jix281
Severe influenza is often associated with disease manifestations outside the respiratory tract. Whilst pro-inflammatory cytokines can be detected in the lungs and blood of infected patients, the role of extra-respiratory organs in the production of pro-inflammatory cytokines is unknown. Here, we show that both pandemic H1N1 and highly pathogenic H5N1 virus induce expression of TNFα, IL-6 and IL-8 in the respiratory tract and central nervous system. In addition, H5N1 virus induced cytokines in the heart, pancreas, spleen, liver and jejunum. Together, these data suggest that extra-respiratory tissues contribute to systemic cytokine responses which may increase the severity of influenza.
Mediators of Inflammation
2015 Nov 15
Christensen AB, Dige A, Vad-Nielsen J, Brinkmann CR, Bendix M, Østergaard L, Tolstrup M, Søgaard OS, Rasmussen TA, Nyengaard JR, Agnholt J, Denton PW.
PMID: - | DOI: http://dx.doi.org/10.1155/2015/120605
Intestinal CD4+ T cell depletion is rapid and profound during early HIV-1 infection. This leads to a compromised mucosal barrier that prompts chronic systemic inflammation. The preferential loss of intestinal T helper 17 (Th17) cells in HIV-1 disease is a driver of the damage within the mucosal barrier and of disease progression. Thus, understanding the effects of new therapeutic strategies in the intestines has high priority. Histone deacetylase (HDAC) inhibitors (e.g., panobinostat) are actively under investigation as potential latency reversing agents in HIV eradication studies. These drugs have broad effects that go beyond reactivating virus, including modulation of immune pathways. We examined colonic biopsies from ART suppressed HIV-1 infected individuals (clinicaltrials.gov: NCT01680094) for the effects of panobinostat on intestinal T cell activation and on inflammatory cytokine production. We compared biopsy samples that were collected before and during oral panobinostat treatment and observed that panobinostat had a clear biological impact in this anatomical compartment. Specifically, we observed a decrease in CD69+ intestinal lamina propria T cell frequency and increased IL-17A mRNA expression in the intestinal epithelium. These results suggest that panobinostat therapy may influence the restoration of mucosal barrier function in these patients.
Nat Commun. 2015 Mar 3;6:6285.
Grabner B, Schramek D, Mueller KM, Moll HP, Svinka J, Hoffmann T, Bauer E, Blaas L, Hruschka N, Zboray K, Stiedl P, Nivarthi H, Bogner E, Gruber W, Mohr T, Zwick RH, Kenner L, Poli V, Aberger F, Stoiber D, Egger G, Esterbauer H, Zuber J, Moriggl R, Eferl
PMID: 25734337 | DOI: 10.1038/ncomms7285.
​STAT3 is considered to play an oncogenic role in several malignancies including lung cancer; consequently, targeting ​STAT3 is currently proposed as therapeutic intervention. Here we demonstrate that ​STAT3 plays an unexpected tumour-suppressive role in ​KRAS mutant lung adenocarcinoma (AC). Indeed, lung tissue-specific inactivation of ​Stat3 in mice results in increased ​KrasG12D-driven AC initiation and malignant progression leading to markedly reduced survival. Knockdown of ​STAT3 in xenografted human AC cells increases tumour growth. Clinically, low ​STAT3 expression levels correlate with poor survival and advanced malignancy in human lung AC patients with smoking history, which are prone to ​KRAS mutations. Consistently, ​KRAS mutant lung tumours exhibit reduced ​STAT3 levels. Mechanistically, we demonstrate that ​STAT3 controls NF-κB-induced ​IL-8 expression by sequestering NF-κB within the cytoplasm, thereby inhibiting ​IL-8-mediated myeloid tumour infiltration and tumour vascularization and hence tumour progression. These results elucidate a novel ​STAT3–NF-κB–​IL-8 axis in ​KRAS mutant AC with therapeutic and prognostic relevance.
Development (Cambridge, England)
2021 May 15
Kaiser, K;Jang, A;Kompanikova, P;Lun, MP;Prochazka, J;Machon, O;Dani, N;Prochazkova, M;Laurent, B;Gyllborg, D;van Amerongen, R;Fame, RM;Gupta, S;Wu, F;Barker, RA;Bukova, I;Sedlacek, R;Kozmik, Z;Arenas, E;Lehtinen, MK;Bryja, V;
PMID: 34032267 | DOI: 10.1242/dev.192054
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 | |
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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