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.
Cell.
2016 Jun 16
Branco T, Tozer A, Magnus CJ, Sugino K, Tanaka S, Lee AK, Wood JN, Sternson SM.
PMID: 27315482 | DOI: 10.1016/j.cell.2016.05.019.
Neurons are well suited for computations on millisecond timescales, but some neuronal circuits set behavioral states over long time periods, such as those involved in energy homeostasis. We found that multiple types of hypothalamic neurons, including those that oppositely regulate body weight, are specialized as near-perfect synaptic integrators that summate inputs over extended timescales. Excitatory postsynaptic potentials (EPSPs) are greatly prolonged, outlasting the neuronal membrane time-constant up to 10-fold. This is due to the voltage-gated sodium channel Nav1.7 (Scn9a), previously associated with pain-sensation but not synaptic integration. Scn9a deletion in AGRP, POMC, or paraventricular hypothalamic neurons reduced EPSP duration, synaptic integration, and altered body weight in mice. In vivo whole-cell recordings in the hypothalamus confirmed near-perfect synaptic integration. These experiments show that integration of synaptic inputs over time by Nav1.7 is critical for body weight regulation and reveal a mechanism for synaptic control of circuits regulating long term homeostatic functions.
Cell reports
2023 Jun 20
Matz, H;Taylor, RS;Redmond, AK;Hill, TM;Ruiz Daniels, R;Beltran, M;Henderson, NC;Macqueen, DJ;Dooley, H;
PMID: 37342909 | DOI: 10.1016/j.celrep.2023.112664
Cell reports
2022 Nov 29
Zhang, Q;Tang, Q;Purohit, NM;Davenport, JB;Brennan, C;Patel, RK;Godschall, E;Zwiefel, LS;Spano, A;Campbell, JN;Güler, AD;
PMID: 36450244 | DOI: 10.1016/j.celrep.2022.111718
JCI insight
2022 Nov 08
Gaziano, I;Corneliussen, S;Biglari, N;Neuhaus, R;Shen, L;Sotelo-Hitschfeld, T;Klemm, P;Steuernagel, L;De Solis, AJ;Chen, W;Wunderlich, FT;Kloppenburg, P;Brüning, JC;
PMID: 36345942 | DOI: 10.1172/jci.insight.162753
Cell.
2018 Nov 15
Brandt C, Nolte H, Henschke S, Engström Ruud L, Awazawa M, Morgan DA, Gabel P, Sprenger HG, Hess ME, Günther S, Langer T, Rahmouni K, Fenselau H, Krüger M, Brüning JC.
PMID: 30445039 | DOI: 10.1016/j.cell.2018.10.015
Adaptation of liver to the postprandial state requires coordinated regulation of protein synthesis and folding aligned with changes in lipid metabolism. Here we demonstrate that sensory food perception is sufficient to elicit early activation of hepatic mTOR signaling, Xbp1 splicing, increased expression of ER-stress genes, and phosphatidylcholine synthesis, which translate into a rapid morphological ER remodeling. These responses overlap with those activated during refeeding, where they are maintained and constantly increased upon nutrient supply. Sensory food perception activates POMC neurons in the hypothalamus, optogenetic activation of POMC neurons activates hepatic mTOR signaling and Xbp1 splicing, whereas lack of MC4R expression attenuates these responses to sensory food perception. Chemogenetic POMC-neuron activation promotes sympathetic nerve activity (SNA) subserving the liver, and norepinephrine evokes the same responses in hepatocytes in vitro and in liver in vivo as observed upon sensory food perception. Collectively, our experiments unravel that sensory food perception coordinately primes postprandial liver ER adaption through a melanocortin-SNA-mTOR-Xbp1s axis.
Nature metabolism
2022 Oct 01
Steuernagel, L;Lam, BYH;Klemm, P;Dowsett, GKC;Bauder, CA;Tadross, JA;Hitschfeld, TS;Del Rio Martin, A;Chen, W;de Solis, AJ;Fenselau, H;Davidsen, P;Cimino, I;Kohnke, SN;Rimmington, D;Coll, AP;Beyer, A;Yeo, GSH;Brüning, JC;
PMID: 36266547 | DOI: 10.1038/s42255-022-00657-y
Molecular metabolism
2022 Feb 12
Qi, Y;Lee, NJ;Ip, CK;Enriquez, R;Tasan, R;Zhang, L;Herzog, H;
PMID: 35167990 | DOI: 10.1016/j.molmet.2022.101455
Neuron
2020 Apr 15
Jais A, Paeger L, Sotelo-Hitschfeld T, Bremser S, Prinzensteiner M, Klemm P, Mykytiuk V, Widdershooven PJM, Vesting AJ, Grzelka K, Min�re M, Cremer AL, Xu J, Korotkova T, Lowell BB, Zeilhofer HU, Backes H, Fenselau H, Wunderlich FT, Kloppenburg P, Br�ning JC
PMID: 32302532 | DOI: 10.1016/j.neuron.2020.03.022
Nature neuroscience
2021 May 17
Biglari, N;Gaziano, I;Schumacher, J;Radermacher, J;Paeger, L;Klemm, P;Chen, W;Corneliussen, S;Wunderlich, CM;Sue, M;Vollmar, S;Klöckener, T;Sotelo-Hitschfeld, T;Abbasloo, A;Edenhofer, F;Reimann, F;Gribble, FM;Fenselau, H;Kloppenburg, P;Wunderlich, FT;Brüning, JC;
PMID: 34002087 | DOI: 10.1038/s41593-021-00854-0
eLife
2022 Jan 19
Yu, H;Rubinstein, M;Low, MJ;
PMID: 35044906 | DOI: 10.7554/eLife.72883
Elife.
2015 Sep 02
Henry FE, Sugino K, Tozer A, Branco T, Sternson SM.
PMID: 26329458 | DOI: 10.7554/eLife.09800.
Molecular and cellular processes in neurons are critical for sensing and responding to energy deficit states, such as during weight-loss. AGRP neurons are a key hypothalamic population that is activated during energy deficit and increases appetite and weight-gain. Cell type-specific transcriptomics can be used to identify pathways that counteract weight-loss, and here we report high-quality gene expression profiles of AGRP neurons from well-fed and food-deprived young adult mice. For comparison, we also analyzed POMC neurons, an intermingled population that suppresses appetite and body weight. We find that AGRP neurons are considerably more sensitive to energy deficit than POMC neurons. Furthermore, we identify cell type-specific pathways involving endoplasmic reticulum-stress, circadian signaling, ion channels, neuropeptides, and receptors. Combined with methods to validate and manipulate these pathways, this resource greatly expands molecular insight into neuronal regulation of body weight, and may be useful for devising therapeutic strategies for obesity and eating disorders.
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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