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.
Nature.
2018 May 09
Del Monte-Nieto G, Ramialison M, Adam AAS, Wu B, Aharonov A, D'Uva G, Bourke LM, Pitulescu ME, Chen H, de la Pompa JL, Shou W, Adams RH, Harten SK, Tzahor E, Zhou B, Harvey RP.
PMID: 29743679 | DOI: 10.1038/s41586-018-0110-6
In vertebrate hearts, the ventricular trabecular myocardium develops as a sponge-like network of cardiomyocytes that is critical for contraction and conduction, ventricular septation, papillary muscle formation and wall thickening through the process of compaction 1 . Defective trabeculation leads to embryonic lethality2-4 or non-compaction cardiomyopathy (NCC) 5 . There are divergent views on when and how trabeculation is initiated in different species. In zebrafish, trabecular cardiomyocytes extrude from compact myocardium 6 , whereas in chicks, chamber wall thickening occurs before overt trabeculation 7 . In mice, the onset of trabeculation has not been described, but is proposed to begin at embryonic day 9.0, when cardiomyocytes form radially oriented ribs 2 . Endocardium-myocardium communication is essential for trabeculation, and numerous signalling pathways have been identified, including Notch2,8 and Neuregulin (NRG) 4 . Late disruption of the Notch pathway causes NCC 5 . Whereas it has been shown that mutations in the extracellular matrix (ECM) genes Has2 and Vcan prevent the formation of trabeculae in mice9,10 and the matrix metalloprotease ADAMTS1 promotes trabecular termination 3 , the pathways involved in ECM dynamics and the molecular regulation of trabeculation during its early phases remain unexplored. Here we present a model of trabeculation in mice that integrates dynamic endocardial and myocardial cell behaviours and ECM remodelling, and reveal new epistatic relationships between the involved signalling pathways. NOTCH1 signalling promotes ECM degradation during the formation of endocardial projections that are critical for individualization of trabecular units, whereas NRG1 promotes myocardial ECM synthesis, which is necessary for trabecular rearrangement and growth. These systems interconnect through NRG1 control of Vegfa, but act antagonistically to establish trabecular architecture. These insights enabled the prediction of persistent ECM and cardiomyocyte growth in a mouse NCC model, providing new insights into the pathophysiology of congenital heart disease.
Animals : an open access journal from MDPI
2021 Dec 30
Verdile, N;Pasquariello, R;Cardinaletti, G;Tibaldi, E;Brevini, TAL;Gandolfi, F;
PMID: 35011180 | DOI: 10.3390/ani12010074
J Neurosci.
2017 Apr 21
Vullhorst D, Ahmad T, Karavanova I, Keating C, Buonanno A.
PMID: 28432142 | DOI: 10.1523/JNEUROSCI.2630-16.2017
The Neuregulin (NRG) family of ErbB ligands is comprised of numerous variants originating from the use of different genes, alternative promoters and splice variants. NRGs have generally been thought to be transported to axons and presynaptic terminals where they signal via ErbB3/4 receptors in paracrine or juxtacrine mode. However, we recently demonstrated that unprocessed pro-NRG2 accumulates on cell bodies and proximal dendrites, and that NMDAR activity is required for shedding of its ectodomain by metalloproteinases. Here we systematically investigated the subcellular distribution and processing of major NRG isoforms in rat hippocampal neurons. We show that NRG1 isotypes I and II, which like NRG2 are single-pass transmembrane proteins with an Ig-like domain, share the same subcellular distribution and ectodomain shedding properties. We furthermore show that NRG3, like CRD-NRG1, is a dual-pass transmembrane protein that harbors a second transmembrane domain near its amino-terminus. Both NRG3 and CRD-NRG1 cluster on axons through juxtacrine interactions with ErbB4 present on GABAergic interneurons. Interestingly, while single-pass NRGs accumulate as unprocessed pro-forms, axonal puncta of CRD-NRG1 and NRG3 are comprised of processed protein. Mutations of CRD-NRG1 and NRG3 that render them resistant to BACE cleavage, as well as BACE inhibition, result in the loss of axonal puncta and in the accumulation of unprocessed proforms in neuronal soma. Together, these results define two groups of NRGs with distinct membrane topologies and fundamentally different targeting and processing properties in central neurons. The implications of this functional diversity for the regulation of neuronal processes by the NRG/ErbB pathway are discussed.SIGNIFICANCE STATEMENTNumerous Neuregulins are generated through the use of different genes, promoters and alternative splicing, but the functional significance of this evolutionary conserved diversity remains poorly understood. Here we show that NRGs can be categorized by their membrane topologies. Single-pass Neuregulins such as NRG1 types I/II and NRG2 accumulate as unprocessed pro-forms on cell bodies, and their ectodomains are shed by metalloproteinases in response to NMDA receptor activation. By contrast, dual-pass CRD-NRG1 and NRG3 are constitutively processed by BACE and accumulate on axons where they interact with ErbB4 in juxtacrine mode. These findings reveal a previously unknown functional relationship between membrane topology, protein processing and subcellular distribution, and suggest that single- and dual-pass NRGs regulate neuronal functions in fundamentally different ways.
Nature communications
2022 Sep 26
Matson, KJE;Russ, DE;Kathe, C;Hua, I;Maric, D;Ding, Y;Krynitsky, J;Pursley, R;Sathyamurthy, A;Squair, JW;Levi, BP;Courtine, G;Levine, AJ;
PMID: 36163250 | DOI: 10.1038/s41467-022-33184-1
Hearing Research
2018 Jul 29
Salehi P, Nelson CN, Chen Y, Lei D, Crish SD, Nelson J, Zuo H, Bao J.
PMID: - | DOI: 10.1016/j.heares.2018.07.008
Gene expression analysis is essential for understanding the rich repertoire of cellular functions. With the development of sensitive molecular tools such as single-cell RNA sequencing, extensive gene expression data can be obtained and analyzed from various tissues. Single-molecule fluorescence in situ hybridization (smFISH) has emerged as a powerful complementary tool for single-cell genomics studies because of its ability to map and quantify the spatial distributions of single mRNAs at the subcellular level in their native tissue. Here, we present a detailed method to study the copy numbers and spatial localizations of single mRNAs in the cochlea and inferior colliculus. First, we demonstrate that smFISH can be performed successfully in adult cochlear tissue after decalcification. Second, we show that the smFISH signals can be detected with high specificity. Third, we adapt an automated transcript analysis pipeline to quantify and identify single mRNAs in a cell-specific manner. Lastly, we show that our method can be used to study possible correlations between transcriptional and translational activities of single genes. Thus, we have developed a detailed smFISH protocol that can be used to study the expression of single mRNAs in specific cell types of the peripheral and central auditory systems.
American journal of respiratory cell and molecular biology
2023 Feb 27
Yin, Q;Morris, GF;Saito, S;Zhuang, Y;Thannickal, VJ;Jazwanski, SM;Lasky, JA;
PMID: 36848480 | DOI: 10.1165/rcmb.2022-0222OC
Science translational medicine
2022 Feb 02
Ko, KI;Merlet, JJ;DerGarabedian, BP;Zhen, H;Suzuki-Horiuchi, Y;Hedberg, ML;Hu, E;Nguyen, AT;Prouty, S;Alawi, F;Walsh, MC;Choi, Y;Millar, SE;Cliff, A;Romero, J;Garvin, MR;Seykora, JT;Jacobson, D;Graves, DT;
PMID: 35108061 | DOI: 10.1126/scitranslmed.abj0324
Cell reports
2021 Jul 13
Kohnke, S;Buller, S;Nuzzaci, D;Ridley, K;Lam, B;Pivonkova, H;Bentsen, MA;Alonge, KM;Zhao, C;Tadross, J;Holmqvist, S;Shimizo, T;Hathaway, H;Li, H;Macklin, W;Schwartz, MW;Richardson, WD;Yeo, GSH;Franklin, RJM;Karadottir, RT;Rowitch, DH;Blouet, C;
PMID: 34260928 | DOI: 10.1016/j.celrep.2021.109362
Nature communications
2023 May 25
Lin, M;Hartl, K;Heuberger, J;Beccaceci, G;Berger, H;Li, H;Liu, L;Müllerke, S;Conrad, T;Heymann, F;Woehler, A;Tacke, F;Rajewsky, N;Sigal, M;
PMID: 37230989 | DOI: 10.1038/s41467-023-38780-3
bioRxiv : the preprint server for biology
2023 Feb 24
Manieri, E;Tie, G;Seruggia, D;Madha, S;Maglieri, A;Huang, K;Fujiwara, Y;Zhang, K;Orkin, SH;He, R;McCarthy, N;Shivdasani, RA;
PMID: 36798304 | DOI: 10.1101/2023.02.11.527728
Glia
2022 Nov 05
Osorio, MJ;Mariani, JN;Zou, L;Schanz, SJ;Heffernan, K;Cornwell, A;Goldman, SA;
PMID: 36334067 | DOI: 10.1002/glia.24291
Scientific reports
2022 Mar 30
Minatoguchi, S;Saito, S;Furuhashi, K;Sawa, Y;Okazaki, M;Shimamura, Y;Kaihan, AB;Hashimoto, Y;Yasuda, Y;Hara, A;Mizutani, Y;Ando, R;Kato, N;Ishimoto, T;Tsuboi, N;Esaki, N;Matsuyama, M;Shiraki, Y;Kobayashi, H;Asai, N;Enomoto, A;Maruyama, S;
PMID: 35354870 | DOI: 10.1038/s41598-022-09331-5
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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