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Probes for TDTOMATO

ACD can configure probes for the various manual and automated assays for TDTOMATO for RNAscope Assay, or for Basescope Assay compatible for your species of interest.

Your search for "tdTomato" returned results. Search for our Top genes LGR5, vglut2, gad67, brca1

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    • tdTomato (56) Apply tdTomato filter
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    Category

    • (-) Remove Publications filter Publications (3)
    Gut-brain communication by distinct sensory neurons differently controls feeding and glucose metabolism

    Cell metabolism

    2021 May 21

    Borgmann, D;Ciglieri, E;Biglari, N;Brandt, C;Cremer, AL;Backes, H;Tittgemeyer, M;Wunderlich, FT;Brüning, JC;Fenselau, H;
    PMID: 34043943 | DOI: 10.1016/j.cmet.2021.05.002

    Sensory neurons relay gut-derived signals to the brain, yet the molecular and functional organization of distinct populations remains unclear. Here, we employed intersectional genetic manipulations to probe the feeding and glucoregulatory function of distinct sensory neurons. We reconstruct the gut innervation patterns of numerous molecularly defined vagal and spinal afferents and identify their downstream brain targets. Bidirectional chemogenetic manipulations, coupled with behavioral and circuit mapping analysis, demonstrated that gut-innervating, glucagon-like peptide 1 receptor (GLP1R)-expressing vagal afferents relay anorexigenic signals to parabrachial nucleus neurons that control meal termination. Moreover, GLP1R vagal afferent activation improves glucose tolerance, and their inhibition elevates blood glucose levels independent of food intake. In contrast, gut-innervating, GPR65-expressing vagal afferent stimulation increases hepatic glucose production and activates parabrachial neurons that control normoglycemia, but they are dispensable for feeding regulation. Thus, distinct gut-innervating sensory neurons differentially control feeding and glucoregulatory neurocircuits and may provide specific targets for metabolic control.
    Brainstem Dbh + Neurons Control Chronic Allergen-Induced Airway Hyperreactivity

    bioRxiv : the preprint server for biology

    2023 Feb 05

    Su, Y;Xu, J;Zhu, Z;Yu, H;Nudell, V;Dash, B;Moya, EA;Ye, L;Nimmerjahn, A;Sun, X;
    PMID: 36778350 | DOI: 10.1101/2023.02.04.527145

    Chronic exposure of the lung to irritants such as allergen is a primary cause of asthma characterized by exaggerated airway constriction, also called hyperreactivity, which can be life-threatening. Aside from immune cells, vagal sensory neurons are important for airway hyperreactivity 1â€"4 . However, the identity and signature of the downstream nodes of this adaptive circuit remains poorly understood. Here we show that a single population of Dbh + neurons in the nucleus of the solitary tract (nTS) of the brainstem, and downstream neurons in the nucleus ambiguous (NA), are both necessary and sufficient for chronic allergen-induced airway hyperreactivity. We found that repeated exposures of mice to inhaled allergen activates nTS neurons in a mast cell-, interleukin 4 (IL-4)- and vagal nerve-dependent manner. Single-nucleus RNA-seq of the nTS at baseline and following allergen challenges reveals that a Dbh + population is preferentially activated. Ablation or chemogenetic inactivation of Dbh + nTS neurons blunted, while chemogenetic activation promoted hyperreactivity. Viral tracing indicates that Dbh + nTS neurons, capable of producing norepinephrine, project to the NA, and NA neurons are necessary and sufficient to relay allergen signals to postganglionic neurons that then directly drive airway constriction. Focusing on transmitters, delivery of norepinephrine antagonists to the NA blunted allergen-induced hyperreactivity. Together, these findings provide molecular, anatomical and functional definitions of key nodes of a canonical allergen response circuit. The knowledge opens the possibility of targeted neural modulation as an approach to control refractory allergen-induced airway constriction.
    A multidimensional coding architecture of the vagal interoceptive system

    Nature

    2022 Mar 01

    Zhao, Q;Yu, CD;Wang, R;Xu, QJ;Dai Pra, R;Zhang, L;Chang, RB;
    PMID: 35296859 | DOI: 10.3760/cma.j.cn112151-20210719-00516

    Interoception, the ability to timely and precisely sense changes inside the body, is critical for survival1-4. Vagal sensory neurons (VSNs) form an important body-to-brain connection, navigating visceral organs along the rostral-caudal axis of the body and crossing the surface-lumen axis of organs into appropriate tissue layers5,6. The brain can discriminate numerous body signals through VSNs, but the underlying coding strategy remains poorly understood. Here we show that VSNs code visceral organ, tissue layer and stimulus modality-three key features of an interoceptive signal-in different dimensions. Large-scale single-cell profiling of VSNs from seven major organs in mice using multiplexed projection barcodes reveals a 'visceral organ' dimension composed of differentially expressed gene modules that code organs along the body's rostral-caudal axis. We discover another 'tissue layer' dimension with gene modules that code the locations of VSN endings along the surface-lumen axis of organs. Using calcium-imaging-guided spatial transcriptomics, we show that VSNs are organized into functional units to sense similar stimuli across organs and tissue layers; this constitutes a third 'stimulus modality' dimension. The three independent feature-coding dimensions together specify many parallel VSN pathways in a combinatorial manner and facilitate the complex projection of VSNs in the brainstem. Our study highlights a multidimensional coding architecture of the mammalian vagal interoceptive system for effective signal communication.
    X
    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
    EnEmProbe targets exons n and m
    En-EmProbe 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

    Enabling research, drug development (CDx) and diagnostics

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