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.
Nutrients
2023 May 11
Sanchez-Navarro, MJ;Borner, T;Reiner, BC;Crist, RC;Samson, WK;Yosten, GLC;Stein, L;Hayes, MR;
PMID: 37242151 | DOI: 10.3390/nu15102268
PLoS One.
2018 Feb 21
Davis MI, Crittenden JR, Feng AY, Kupferschmidt DA, Naydenov A, Stella N, Graybiel AM, Lovinger DM.
PMID: 29466446 | DOI: 10.1371/journal.pone.0191436
Presynaptic cannabinoid-1 receptors (CB1-R) bind endogenous and exogenous cannabinoids to modulate neurotransmitter release. CB1-Rs are expressed throughout the basal ganglia, including striatum and substantia nigra, where they play a role in learning and control of motivated actions. However, the pattern of CB1-R expression across different striatal compartments, microcircuits and efferent targets, and the contribution of different CB1-R-expressing neurons to this pattern, are unclear. We use a combination of conventional techniques and novel genetic models to evaluate CB1-R expression in striosome (patch) and matrix compartments of the striatum, and in nigral targets of striatal medium spiny projection neurons (MSNs). CB1-R protein and mRNA follow a descending dorsolateral-to-ventromedial intensity gradient in the caudal striatum, with elevated expression in striosomes relative to the surrounding matrix. The lateral predominance of striosome CB1-Rs contrasts with that of the classical striosomal marker, the mu opioid receptor (MOR), which is expressed most prominently in rostromedial striosomes. The dorsolateral-to-ventromedial CB1-R gradient is similar to Drd2 dopamine receptor immunoreactivity and opposite to Substance P. This topology of CB1-R expression is maintained downstream in the globus pallidus and substantia nigra. Dense CB1-R-expressing striatonigral fibers extend dorsally within the substantia nigra pars reticulata, and colocalize with bundles of ventrally extending, striosome-targeted, dendrites of dopamine-containing neurons in the substantia nigra pars compacta (striosome-dendron bouquets). Within striatum, CB1-Rs colocalize with fluorescently labeled MSN collaterals within the striosomes. Cre recombinase-mediated deletion of CB1-Rs from cortical projection neurons or MSNs, and MSN-selective reintroduction of CB1-Rs in knockout mice, demonstrate that the principal source of CB1-Rs in dorsolateral striosomes is local MSN collaterals. These data suggest a role for CB1-Rs in caudal dorsolateral striosome collaterals and striosome-dendron bouquet projections to lateral substantia nigra, where they are anatomically poised to mediate presynaptic disinhibition of both striosomal MSNs and midbrain dopamine neurons in response to endocannabinoids and cannabinomimetics.
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
Science advances
2023 Apr 14
Carbonaro, M;Wang, K;Huang, H;Frleta, D;Patel, A;Pennington, A;Desclaux, M;Moller-Tank, S;Grindley, J;Altarejos, J;Zhong, J;Polites, G;Poueymirou, W;Jaspers, S;Kyratsous, C;Zambrowicz, B;Murphy, A;Lin, JC;Macdonald, LE;Daly, C;Sleeman, M;Thurston, G;Li, Z;
PMID: 37058568 | DOI: 10.1126/sciadv.adf4490
bioRxiv : the preprint server for biology
2023 Feb 15
François, M;Delgado, IC;Lafond, A;Lewis, EM;Kuromaru, M;Hassouna, R;Deng, S;Thaker, VV;Dölen, G;Zeltser, LM;
PMID: 36824966 | DOI: 10.1101/2023.02.15.528679
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.
Current biology : CB
2023 Jan 31
Yao, Y;Chen, J;Li, X;Chen, ZF;Li, P;
PMID: 36750092 | DOI: 10.1016/j.cub.2023.01.019
Biological psychiatry
2023 May 26
Leithead, AB;Godino, A;Barbier, M;Harony-Nicolas, H;
PMID: 37245781 | DOI: 10.1016/j.biopsych.2023.05.016
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.
BMC Biol.
2018 Sep 18
Fabre PJ, Leleu M, Mascrez B, Lo Giudice Q, Cobb J, Duboule D.
PMID: 30223853 | DOI: 10.1186/s12915-018-0570-z
Abstract
BACKGROUND:
Global analyses of gene expression during development reveal specific transcription patterns associated with the emergence of various cell types, tissues, and organs. These heterogeneous patterns are instrumental to ensure the proper formation of the different parts of our body, as shown by the phenotypic effects generated by functional genetic approaches. However, variations at the cellular level can be observed within each structure or organ. In the developing mammalian limbs, expression of Hox genes from the HoxD cluster is differentially controlled in space and time, in cells that will pattern the digits and the forearms. While the Hoxd genes broadly share a common regulatory landscape and large-scale analyses have suggested a homogenous Hox gene transcriptional program, it has not previously been clear whether Hoxd genes are expressed together at the same levels in the same cells.
RESULTS:
We report a high degree of heterogeneity in the expression of the Hoxd11 and Hoxd13 genes. We analyzed single-limb bud cell transcriptomes and show that Hox genes are expressed in specific combinations that appear to match particular cell types. In cells giving rise to digits, we find that the expression of the five relevant Hoxd genes (Hoxd9 to Hoxd13) is unbalanced, despite their control by known global enhancers. We also report that specific combinatorial expression follows a pseudo-time sequence, which is established based on the transcriptional diversity of limb progenitors.
CONCLUSIONS:
Our observations reveal the existence of distinct combinations of Hoxd genes at the single-cell level during limb development. In addition, we document that the increasing combinatorial expression of Hoxd genes in this developing structure is associated with specific transcriptional signatures and that these signatures illustrate a temporal progression in the differentiation of these cells.
J Comp Neurol.
2017 Jul 31
Kamitakahara A, Wu HH, Levitt P.
PMID: 28758209 | DOI: 10.1002/cne.24294
Detailed anatomical tracing and mapping of the viscerotopic organization of the vagal motor nuclei has provided insight into autonomic function in health and disease. To further define specific cellular identities, we paired information based on visceral connectivity with a cell-type specific marker of a subpopulation of neurons in the dorsal motor nucleus of the vagus (DMV) and nucleus ambiguus (nAmb) that express the autism-associated MET receptor tyrosine kinase. As gastrointestinal disturbances are common in children with autism spectrum disorder (ASD), we sought to define the relationship between MET-expressing (MET+) neurons in the DMV and nAmb, and the gastrointestinal tract. Using wholemount tissue staining and clearing, or retrograde tracing in a METEGFP transgenic mouse, we identify three novel subpopulations of EGFP+ vagal brainstem neurons: 1) EGFP+ neurons in the nAmb projecting to the esophagus or laryngeal muscles, 2) EGFP+ neurons in the medial DMV projecting to the stomach, and 3) EGFP+ neurons in the lateral DMV projecting to the cecum and/or proximal colon. Expression of the MET ligand, hepatocyte growth factor (HGF), by tissues innervated by vagal motor neurons during fetal development reveal potential sites of HGF-MET interaction. Furthermore, similar cellular expression patterns of MET in the brainstem of both the mouse and nonhuman primate suggest that MET expression at these sites is evolutionarily conserved. Together, the data suggest that MET+ neurons in the brainstem vagal motor nuclei are anatomically positioned to regulate distinct portions of the gastrointestinal tract, with implications for the pathophysiology of gastrointestinal comorbidities of ASD.
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.
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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