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.
Proc Natl Acad Sci U S A.
2017 May 15
Budzillo A, Duffy A, Miller KE, Fairhall AL, Perkel DJ.
PMID: 28507134 | DOI: 10.1073/pnas.1611146114
Learning and maintenance of skilled movements require exploration of motor space and selection of appropriate actions. Vocal learning and social context-dependent plasticity in songbirds depend on a basal ganglia circuit, which actively generates vocal variability. Dopamine in the basal ganglia reduces trial-to-trial neural variability when the bird engages in courtship song. Here, we present evidence for a unique, tonically active, excitatory interneuron in the songbird basal ganglia that makes strong synaptic connections onto output pallidal neurons, often linked in time with inhibitory events. Dopamine receptor activity modulates the coupling of these excitatory and inhibitory events in vitro, which results in a dynamic change in the synchrony of a modeled population of basal ganglia output neurons receiving excitatory and inhibitory inputs. The excitatory interneuron thus serves as one biophysical mechanism for the introduction or modulation of neural variability in this circuit.
Biochemical pharmacology
2022 Feb 18
Kiguchi, N;Ding, H;Park, SH;Mabry, KM;Kishioka, S;Shiozawa, Y;Alfonso Romero-Sandoval, E;Peters, CM;Ko, MC;
PMID: 35189108 | DOI: 10.1016/j.bcp.2022.114972
Front Genet
2019 Dec 04
Pyczek J, Khizanishvili N, Kuzyakova M, Zabel S, Bauer J, Nitzki F, Emmert S, Sch�n MP, Boukamp P, Schildhaus HU, Uhmann A, Hahn H
PMID: 31867038 | DOI: 10.3389/fgene.2019.01185
Molecular Metabolism
2018 Mar 22
Lee SJ, Sanchez-Watts G, Krieger JP, Pignalosa A, Norell PN, Cortella A, Pettersen KG, Vrdoljak D, Hayes MR, Kanoski S, Langhans W, Watts AG.
PMID: - | DOI: 10.1016/j.molmet.2018.03.008
Abstract
Objective
Glucagon-like peptide-1 (GLP-1) neurons in the hindbrain densely innervate the dorsomedial hypothalamus (DMH), a nucleus strongly implicated in body weight regulation and the sympathetic control of brown adipose tissue (BAT) thermogenesis. Therefore, DMH GLP-1 receptors (GLP-1R) are well placed to regulate energy balance by controlling sympathetic outflow and BAT function.
Methods
We investigate this possibility in adult male rats by using direct administration of GLP-1 (0.5 ug) into the DMH, knocking down DMH GLP-1R mRNA with viral-mediated RNA interference, and by examining the neurochemical phenotype of GLP-1R expressing cells in the DMH using in situ hybridization.
Results
GLP-1 administered into the DMH increased BAT thermogenesis and hepatic triglyceride (TG) mobilization. On the other hand, Glp1r knockdown (KD) in the DMH increased body weight gain and adiposity, with a concomitant reduction in energy expenditure (EE), BAT temperature, and uncoupling protein 1 (UCP1) expression. Moreover, DMH Glp1r KD induced hepatic steatosis, increased plasma TG, and elevated liver specific de-novo lipogenesis, effects that collectively contributed to insulin resistance. Interestingly, DMH Glp1r KD increased neuropeptide Y (NPY) mRNA expression in the DMH. GLP-1R mRNA in the DMH, however, was found in GABAergic not NPY neurons, consistent with a GLP-1R-dependent inhibition of NPY neurons that is mediated by local GABAergic neurons. Finally, DMH Glp1r KD attenuated the anorexigenic effects of the GLP-1R agonist exendin-4, highlighting an important role of DMH GLP-1R signaling in GLP-1-based therapies.
Conclusions
Collectively, our data show that DMH GLP-1R signaling plays a key role for BAT thermogenesis and adiposity.
The Journal of comparative neurology
2023 May 21
Biancardi, V;Yang, X;Ding, X;Passi, D;Funk, GD;Pagliardini, S;
PMID: 37211631 | DOI: 10.1002/cne.25497
Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
2021 Apr 16
Venkataraman, A;Hunter, SC;Dhinojwala, M;Ghebrezadik, D;Guo, J;Inoue, K;Young, LJ;Dias, BG;
PMID: 33864008 | DOI: 10.1038/s41386-021-01006-5
Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research
2022 Apr 20
Jing, D;Chen, Z;Men, Y;Yi, Y;Wang, Y;Wang, J;Yi, J;Wan, L;Shen, B;Feng, JQ;Zhao, Z;Zhao, H;Li, C;
PMID: 35443291 | DOI: 10.1002/jbmr.4561
Front Cell Neurosci. 2018 Oct 9;12:341.
2018 Oct 09
Yoo T, Cho H, Lee J, Park H, Yoo YE, Yang E, Kim JY, Kim H, Kim E.
PMID: 30356810 | DOI: 10.3389/fncel.2018.00341
ILAR J.
2018 Nov 21
Himmel LE, Hackett TA, Moore JL, Adams WR, Thomas G, Novitskaya T, Caprioli RM, Zijlstra A, Mahadevan-Jansen A, Boyd KL.
PMID: 30462242 | DOI: 10.1093/ilar/ily004
For decades, histopathology with routine hematoxylin and eosin staining has been and remains the gold standard for reaching a morphologic diagnosis in tissue samples from humans and veterinary species. However, within the past decade, there has been exponential growth in advanced techniques for in situ tissue biomarker imaging that bridge the divide between anatomic and molecular pathology. It is now possible to simultaneously observe localization and expression magnitude of multiple protein, nucleic acid, and molecular targets in tissue sections and apply machine learning to synthesize vast, image-derived datasets. As these technologies become more sophisticated and widely available, a team-science approach involving subspecialists with medical, engineering, and physics backgrounds is critical to upholding quality and validity in studies generating these data. The purpose of this manuscript is to detail the scientific premise, tools and training, quality control, and data collection and analysis considerations needed for the most prominent advanced imaging technologies currently applied in tissue sections: immunofluorescence, in situ hybridization, laser capture microdissection, matrix-assisted laser desorption ionization imaging mass spectrometry, and spectroscopic/optical methods. We conclude with a brief overview of future directions for ex vivo and in vivo imaging techniques.
Communications biology
2022 Aug 18
Noh, YW;Yook, C;Kang, J;Lee, S;Kim, Y;Yang, E;Kim, H;Kim, E;
PMID: 35982261 | DOI: 10.1038/s42003-022-03813-y
Molecular therapy : the journal of the American Society of Gene Therapy
2022 May 05
Tadokoro, T;Bravo-Hernandez, M;Agashkov, K;Kobayashi, Y;Platoshyn, O;Navarro, M;Marsala, S;Miyanohara, A;Yoshizumi, T;Shigyo, M;Krotov, V;Juhas, S;Juhasova, J;Nguyen, D;Kupcova Skalnikova, H;Motlik, J;Studenovska, H;Proks, V;Reddy, R;Driscoll, SP;Glenn, TD;Kemthong, T;Malaivijitnond, S;Tomori, Z;Vanicky, I;Kakinohana, M;Pfaff, SL;Ciacci, J;Belan, P;Marsala, M;
PMID: 35524407 | DOI: 10.1016/j.ymthe.2022.04.023
Nat Neurosci.
2016 May 23
Wang L, Hou S, Han YG.
PMID: 27214567 | DOI: 10.1038/nn.4307.
The unique mental abilities of humans are rooted in the immensely expanded and folded neocortex, which reflects the expansion of neural progenitors, especially basal progenitors including basal radial glia (bRGs) and intermediate progenitor cells (IPCs). We found that constitutively active Sonic hedgehog (Shh) signaling expanded bRGs and IPCs and induced folding in the otherwise smooth mouse neocortex, whereas the loss of Shh signaling decreased the number of bRGs and IPCs and the size of the neocortex. SHH signaling was strongly active in the human fetal neocortex but Shh signaling was not strongly active in the mouse embryonic neocortex, and blocking SHH signaling in human cerebral organoids decreased the number of bRGs. Mechanistically, Shh signaling increased the initial generation and self-renewal of bRGs and IPC proliferation in mice and the initial generation of bRGs in human cerebral organoids. Thus, robust SHH signaling in the human fetal neocortex may contribute to bRG and IPC expansion and neocortical growth and folding.
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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