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.
J Comp Pathol. 2015 Jul 16.
Palmer MV, Thacker TC, Waters WR.
PMID: 26189773 | DOI: 10.1016/j.jcpa.2015.06.004.
Diabetes.
2016 Dec 01
Burmeister MA, Ayala JE, Smouse H, Landivar-Rocha A, Brown JD, Drucker DJ, Stoffers DA, Sandoval DA, Seeley RJ, Ayala JE.
PMID: 27908915 | DOI: 10.2337/db16-1102
Pharmacological activation of the hypothalamic glucagon-like peptide-1 (GLP-1) receptor (GLP-1R) promotes weight loss and improves glucose tolerance. This demonstrates that the hypothalamic GLP-1R is sufficient but does not show whether it is necessary for the effects of exogenous GLP-1R agonists (GLP-1RA) or endogenous GLP-1 on these parameters. To address this, we crossed mice harboring floxed Glp1r alleles to mice expressing Nkx2.1-Cre to knock down Glp1r expression throughout the hypothalamus (GLP-1RKDΔNkx2.1cre). We also generated mice lacking Glp1r expression specifically in two GLP-1RA-responsive hypothalamic feeding nuclei/cell types, the paraventricular nucleus (GLP-1RKDΔSim1cre) and proopiomelanocortin neurons (GLP-1RKDΔPOMCcre). Chow -fed GLP-1RKDΔNkx2.1cre mice exhibited increased food intake and energy expenditure with no net effect on body weight. When fed a high fat diet (HFD), these mice exhibited normal food intake but elevated energy expenditure, yielding reduced weight gain. None of these phenotypes were observed in GLP-1RKDΔSim1creand GLP-1RKDΔPOMCcre mice. The acute anorectic and glucose tolerance effects of peripherally-dosed GLP-1RA exendin-4 and liraglutide were preserved in all mouse lines. Chronic liraglutide treatment reduced body weight in chow-fed GLP-1RKDΔNkx2.1cre mice, but this effect was attenuated upon HFD feeding. In sum, classical homeostatic control regions are sufficient but not individually necessary for the effects of GLP-1RA on nutrient homeostasis.
Cell Syst.
2017 Dec 26
Schulz D, Zanotelli VRT, Fischer JR, Schapiro D, Engler S, Lun XK, Jackson HW, Bodenmiller B.
PMID: 29289569 | DOI: 10.1016/j.cels.2017.12.001
To build comprehensive models of cellular states and interactions in normal and diseased tissue, genetic and proteomic information must be extracted with single-cell and spatial resolution. Here, we extended imaging mass cytometry to enable multiplexed detection of mRNA and proteins in tissues. Three mRNA target species were detected by RNAscope-based metal in situ hybridization with simultaneous antibody detection of 16 proteins. Analysis of 70 breast cancer samples showed that HER2 and CK19 mRNA and protein levels are moderately correlated on the single-cell level, but that only HER2, and not CK19, has strong mRNA-to-protein correlation on the cell population level. The chemoattractant CXCL10 was expressed in stromal cell clusters, and the frequency of CXCL10-expressing cells correlated with T cell presence. Our flexible and expandable method will allow an increase in the information content retrieved from patient samples for biomedical purposes, enable detailed studies of tumor biology, and serve as a tool to bridge comprehensive genomic and proteomic tissue analysis.
Viruses
2022 May 11
Seehusen, F;Clark, JJ;Sharma, P;Bentley, EG;Kirby, A;Subramaniam, K;Wunderlin-Giuliani, S;Hughes, GL;Patterson, EI;Michael, BD;Owen, A;Hiscox, JA;Stewart, JP;Kipar, A;
PMID: 35632761 | DOI: 10.3390/v14051020
Sci Rep.
2018 Jul 09
Salinas CBG, Lu TT, Gabery S, Marstal K, Alanentalo T, Mercer AJ, Cornea A, Conradsen K, Hecksher-Sørensen J, Dahl AB, Knudsen LB, Secher A.
PMID: 29985439 | DOI: 10.1038/s41598-018-28496-6
Light Sheet Fluorescence Microscopy (LSFM) of whole organs, in particular the brain, offers a plethora of biological data imaged in 3D. This technique is however often hindered by cumbersome non-automated analysis methods. Here we describe an approach to fully automate the analysis by integrating with data from the Allen Institute of Brain Science (AIBS), to provide precise assessment of the distribution and action of peptide-based pharmaceuticals in the brain. To illustrate this approach, we examined the acute central nervous system effects of the glucagon-like peptide-1 (GLP-1) receptor agonist liraglutide. Peripherally administered liraglutide accessed the hypothalamus and brainstem, and led to activation in several brain regions of which most were intersected by projections from neurons in the lateral parabrachial nucleus. Collectively, we provide a rapid and unbiased analytical framework for LSFM data which enables quantification and exploration based on data from AIBS to support basic and translational discovery.
Cell Metab.
2018 Nov 21
Li C, Navarrete J, Liang-Guallpa J, Lu C, Funderburk SC, Chang RB, Liberles SD, Olson DP, Krashes MJ.
PMID: 30472090 | DOI: 10.1016/j.cmet.2018.10.016
Understanding the neural framework behind appetite control is fundamental to developing effective therapies to combat the obesity epidemic. The paraventricular hypothalamus (PVH) is critical for appetite regulation, yet, the real-time, physiological response properties of PVH neurons to nutrients are unknown. Using a combination of fiber photometry, electrophysiology, immunohistochemistry, and neural manipulation strategies, we determined the population dynamics of four molecularly delineated PVH subsets implicated in feeding behavior: glucagon-like peptide 1 receptor (PVHGlp1r), melanocortin-4 receptor (PVHMc4r), oxytocin (PVHOxt), and corticotropin-releasing hormone (PVHCrh). We identified both calorie- and state-dependent sustained activity increases and decreases in PVHGlp1r and PVHCrh populations, respectively, while observing transient bulk changes of PVHMc4r, but no response in PVHOxt, neurons to food. Furthermore, we highlight the role of PVHGlp1r neurons in orchestrating acute feeding behavior, independent of the anti-obesity drug liraglutide, and demonstrate the indispensability of PVHGlp1r and PVHMc4r, but not PVHOxt or PVHCrh neurons, in body weight maintenance.
Molecular metabolism
2021 Nov 26
Costa, A;Ai, M;Nunn, N;Culotta, I;Hunter, J;Boudjadja, MB;Valencia-Torres, L;Aviello, G;Hodson, DJ;Snider, BM;Coskun, T;Emmerson, PJ;Luckman, SM;D'Agostino, G;
PMID: 34844019 | DOI: 10.1016/j.molmet.2021.101407
Neurotoxicology and teratology
2021 Apr 20
Graham, DL;Madkour, HS;Noble, BL;Schatschneider, C;Stanwood, GD;
PMID: 33864929 | DOI: 10.1016/j.ntt.2021.106984
mBio
2022 Jan 25
Golden, JW;Li, R;Cline, CR;Zeng, X;Mucker, EM;Fuentes-Lao, AJ;Spik, KW;Williams, JA;Twenhafel, N;Davis, N;Moore, JL;Stevens, S;Blue, E;Garrison, AR;Larson, DD;Stewart, R;Kunzler, M;Liu, Y;Wang, Z;Hooper, JW;
PMID: 35073750 | DOI: 10.1128/mbio.02906-21
Nature metabolism
2021 Apr 01
Ludwig, MQ;Cheng, W;Gordian, D;Lee, J;Paulsen, SJ;Hansen, SN;Egerod, KL;Barkholt, P;Rhodes, CJ;Secher, A;Knudsen, LB;Pyke, C;Myers, MG;Pers, TH;
PMID: 33767443 | DOI: 10.1038/s42255-021-00363-1
Cell (2018)
2018 Dec 06
Gibson EM, Nagaraja S, Ocampo A, Tam LT, Wood LS, Pallegar PN, Greene JJ, Geraghty AC, Goldstein AK, Ni L, Woo PJ, Barres BA, Liddelow S, Vogel H, Monje M.
| DOI: 10.1016/j.cell.2018.10.049
Neuron
2023 May 10
Lowenstein, ED;Ruffault, PL;Misios, A;Osman, KL;Li, H;Greenberg, RS;Thompson, R;Song, K;Dietrich, S;Li, X;Vladimirov, N;Woehler, A;Brunet, JF;Zampieri, N;Kühn, R;Liberles, SD;Jia, S;Lewin, GR;Rajewsky, N;Lever, TE;Birchmeier, C;
PMID: 37192624 | DOI: 10.1016/j.neuron.2023.04.025
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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