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.
Aging cell
2023 Jan 16
Xing, J;Chen, K;Gao, S;Pousse, M;Ying, Y;Wang, B;Chen, L;Wang, C;Wang, L;Hu, W;Lu, Y;Gilson, E;Ye, J;
PMID: 36644807 | DOI: 10.1111/acel.13780
J Physiol.
2019 May 04
West KS, Lu C, Olson DP, Roseberry AG.
PMID: 31054267 | DOI: 10.1113/JP277193
Abstract
KEY POINTS:
Alpha-melanocyte stimulating hormone (α-MSH) is an anorexigenic peptide, and injection of the α-MSH analog MTII into the ventral tegmental area (VTA) decreases food and sucrose intake and food reward. Melanocortin-3 receptors (MC3R) are highly expressed in the VTA, suggesting that the effects of intra-VTA α-MSH may be mediated by α-MSH changing the activity of MC3R-expressing VTA neurons. α-MSH increased the firing rate of MC3R VTA neurons in acute brain slices from mice, but did not affect the firing rate of non-MC3R VTA neurons. The α-MSH induced increase in MC3R neuron firing rate is likely activity dependent, and was independent of fast synaptic transmission and intracellular Ca2+ levels. These results help us to better understand how α-MSH acts in the VTA to affect feeding and other dopamine dependent behaviors.
ABSTRACT:
The mesocorticolimbic dopamine system, the brain's reward system, regulates multiple behaviors including food intake and food reward. There is substantial evidence that the melanocortin system of the hypothalamus, an important neural circuit controlling feeding and body weight, interacts with the mesocorticolimbic dopamine system to affect feeding, food reward, and body weight. For example, melanocortin-3 receptors (MC3Rs) are expressed in the ventral tegmental area (VTA), and our lab previously showed that intra-VTA injection of the MC3R agonist, MTII, decreases home-cage food intake and operant responding for sucrose pellets. The cellular mechanisms underlying the effects of intra-VTA α-MSH on feeding and food reward are unknown, however. To determine how α-MSH acts in the VTA to affect feeding, we performed electrophysiological recordings in acute brain slices from mice expressing EYFP in MC3R neurons to test how α-MSH affects the activity of VTA MC3R neurons. α-MSH significantly increased the firing rate of VTA MC3R neurons without altering the activity of non-MC3R expressing VTA neurons. In addition, the α-MSH-induced increase in MC3R neuron activity was independent of fast synaptic transmission and intracellular Ca2+ levels. Finally, we show that the effect of α-MSH on MC3R neuron firing rate is likely activity dependent. Overall, these studies provide an important advancement in the understanding of how α-MSH acts in the VTA to affect feeding and food reward.
J Cell Biochem.
2016 May 18
Anderson CM, Zhang B, Miller M, Butko E, Wu X, Laver T, Kernag C, Kim J, Luo Y, Lamparski H, Park E, Su N, Ma XJ.
PMID: 27191821 | DOI: 10.1002/jcb.25606.
Biomarkers such as DNA, RNA, and protein are powerful tools in clinical diagnostics and therapeutic development for many diseases. Identifying RNA expression at the single cell level within the morphological context by RNA in situ hybridization provides a great deal of information on gene expression changes over conventional techniques that analyze bulk tissue, yet widespread use of this technique in the clinical setting has been hampered by the dearth of automated RNA ISH assays. Here we present an automated version of the RNA ISH technology RNAscope that is adaptable to multiple automation platforms. The automated RNAscope assay yields a high signal-to-noise ratio with little to no background staining and results comparable to the manual assay. In addition, the automated duplex RNAscope assay was able to detect two biomarkers simultaneously. Lastly, assay consistency and reproducibility were confirmed by quantification of TATA-box binding protein (TBP) mRNA signals across multiple lots and multiple experiments. Taken together, the data presented in this study demonstrate that the automated RNAscope technology is a high performance RNA ISH assay with broad applicability in biomarker research and diagnostic assay development.
Endocrinology
2019 Feb 01
Pei H, Patterson CM, Sutton AK, Burnett KH, Myers MG Jr, Olson DP.
PMID: 30541071 | DOI: 10.1210/en.2018-00747
The central melanocortin system plays a crucial role in the control of energy balance. Although the decreased energy expenditure and increased adiposity of melanocortin-3 receptor (Mc3R)-null mice suggest the importance of Mc3R-regulated neurons in energy homeostasis, the roles for specific subsets of Mc3R neurons in energy balance have yet to be determined. Because the lateral hypothalamic area (LHA) contributes to the control of energy expenditure and feeding, we generated Mc3rcre mice to determine the roles of LHA Mc3R (Mc3RLHA) neurons in energy homeostasis. We found that Mc3RLHA neurons overlap extensively with LHA neuron markers that contribute to the control of energy balance (neurotensin, galanin, and leptin receptor) and project to brain areas involved in the control of feeding, locomotion, and energy expenditure, consistent with potential roles for Mc3RLHA neurons in these processes. Indeed, selective chemogenetic activation of Mc3RLHA neurons increased locomotor activity and augmented refeeding after a fast. Although the ablation of Mc3RLHA neurons did not alter food intake, mice lacking Mc3RLHA neurons displayed decreased energy expenditure and locomotor activity, along with increased body mass and adiposity. Thus, Mc3R neurons lie within LHA neurocircuitry that modulates locomotor activity and energy expenditure and contribute to energy balance control.
Nat Neurosci.
2019 Apr 01
Zhang P, Kishimoto Y, Grammatikakis I, Gottimukkala K, Cutler RG, Zhang S, Abdelmohsen K, Bohr VA, Misra Sen J, Gorospe M, Mattson MP.
PMID: 30936558 | DOI: 10.1038/s41593-019-0372-9
Neuritic plaques, a pathological hallmark in Alzheimer's disease (AD) brains, comprise extracellular aggregates of amyloid-beta (Aβ) peptide and degenerating neurites that accumulate autolysosomes. We found that, in the brains of patients with AD and in AD mouse models, Aβ plaque-associated Olig2- and NG2-expressing oligodendrocyte progenitor cells (OPCs), but not astrocytes, microglia, or oligodendrocytes, exhibit a senescence-like phenotype characterized by the upregulation of p21/CDKN1A, p16/INK4/CDKN2A proteins, and senescence-associated β-galactosidase activity. Molecular interrogation of the Aβ plaque environment revealed elevated levels of transcripts encoding proteins involved in OPC function, replicative senescence, and inflammation. Direct exposure of cultured OPCs to aggregating Aβ triggered cell senescence. Senolytic treatment of AD mice selectively removed senescent cells from the plaque environment, reduced neuroinflammation, lessened Aβ load, and ameliorated cognitive deficits. Our findings suggest a role for Aβ-induced OPC cell senescence in neuroinflammation and cognitive deficits in AD, and a potential therapeutic benefit of senolytic treatments.
Nat Commun
2020 Mar 13
Barry DM, Liu XT, Liu B, Liu XY, Gao F, Zeng X, Liu J, Yang Q, Wilhelm S, Yin J, Tao A, Chen ZF
PMID: 32170060 | DOI: 10.1038/s41467-020-15230-y
Cell reports
2022 Jul 26
Ito, N;Takatsu, A;Ito, H;Koike, Y;Yoshioka, K;Kamei, Y;Imai, SI;
PMID: 35905718 | DOI: 10.1016/j.celrep.2022.111131
Development (Cambridge, England)
2023 May 09
Singh, VP;Hassan, H;Deng, F;Tsuchiya, D;McKinney, S;Ferro, K;Gerton, JL;
PMID: 37158673 | DOI: 10.1242/dev.201581
Neuron
2022 Sep 23
Yao, Y;Barger, Z;Saffari Doost, M;Tso, CF;Darmohray, D;Silverman, D;Liu, D;Ma, C;Cetin, A;Yao, S;Zeng, H;Dan, Y;
PMID: 36170850 | DOI: 10.1016/j.neuron.2022.08.027
Mechanisms of ageing and development
2021 May 18
Solovyeva, E;Ibebunjo, C;Utzinger, S;Eash, JK;Dunbar, A;Naumann, U;Zhang, Y;Serluca, FC;Demirci, S;Oberhauser, B;Black, F;Rausch, M;Hoersch, S;Meyer, A;
PMID: 34019916 | DOI: 10.1016/j.mad.2021.111510
Nature neuroscience
2022 Dec 12
Shin, S;You, IJ;Jeong, M;Bae, Y;Wang, XY;Cawley, ML;Han, A;Lim, BK;
PMID: 36510113 | DOI: 10.1038/s41593-022-01208-0
Journal of chemical neuroanatomy
2022 Sep 28
Viden, A;Ch'ng, SS;Walker, LC;Shesham, A;Hamilton, SM;Smith, CM;Lawrence, AJ;
PMID: 36182026 | DOI: 10.1016/j.jchemneu.2022.102167
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 |
Complete one of the three forms below and we will get back to you.
For Quote Requests, please provide more details in the Contact Sales form below
Our new headquarters office starting May 2016:
7707 Gateway Blvd.
Newark, CA 94560
Toll Free: 1 (877) 576-3636
Phone: (510) 576-8800
Fax: (510) 576-8798
19 Barton Lane
Abingdon Science Park
Abingdon
OX14 3NB
United Kingdom
Phone 2: +44 1235 529449
Fax: +44 1235 533420
20F, Tower 3,
Raffles City Changning Office,
1193 Changning Road, Shanghai 200051
021-52293200
info.cn@bio-techne.com
Web: www.acdbio.com/cn
For general information: Info.ACD@bio-techne.com
For place an order: order.ACD@bio-techne.com
For product support: support.ACD@bio-techne.com
For career opportunities: hr.ACD@bio-techne.com