ACD can configure probes for the various manual and automated assays for KIT for RNAscope Assay, or for Basescope Assay compatible for your species of interest.
Ophthalmology Science
2022 Aug 01
Huan, T;Cheng, S;Tian, B;Punzo, C;Lin, H;Daly, M;Seddon, J;
| DOI: 10.1016/j.xops.2022.100206
Cell reports
2021 Aug 10
Yang, S;Tan, YL;Wu, X;Wang, J;Sun, J;Liu, A;Gan, L;Shen, B;Zhang, X;Fu, Y;Huang, J;
PMID: 34380037 | DOI: 10.1016/j.celrep.2021.109502
Investigative Ophthalmology & Visual Science
2023 Jan 01
Coble, M;Aranda, J;Demirs, JT;Esterberg, R;Hanks, S;Jose, S;Leehy, B;Liao, S;Niu, YZ;Qiu, Y;Yang, J;
Cell Rep
2019 May 21
Kupari J, Häring M, Agirre E, Castelo-Branco G, Ernfors P.
PMID: 31116992 | DOI: 10.1016/j.celrep.2019.04.096
Sensory functions of the vagus nerve are critical for conscious perceptions and for monitoring visceral functions in the cardio-pulmonary and gastrointestinal systems. Here, we present a comprehensive identification, classification, and validation of the neuron types in the neural crest (jugular) and placode (nodose) derived vagal ganglia by single-cell RNA sequencing (scRNA-seq) transcriptomic analysis. Our results reveal major differences between neurons derived from different embryonic origins. Jugular neurons exhibit fundamental similarities to the somatosensory spinal neurons, including major types, such as C-low threshold mechanoreceptors (C-LTMRs), A-LTMRs, Aδ-nociceptors, and cold-, and mechano-heat C-nociceptors. In contrast, the nodose ganglion contains 18 distinct types dedicated to surveying the physiological state of the internal body. Our results reveal a vast diversity of vagal neuron types, including many previously unanticipated types, as well as proposed types that are consistent with chemoreceptors, nutrient detectors, baroreceptors, and stretch and volume mechanoreceptors of the respiratory, gastrointestinal, and cardiovascular systems.
Immunity
2023 May 13
Wu, HL;Busman-Sahay, K;Weber, WC;Waytashek, CM;Boyle, CD;Bateman, KB;Reed, JS;Hwang, JM;Shriver-Munsch, C;Swanson, T;Northrup, M;Armantrout, K;Price, H;Robertson-LeVay, M;Uttke, S;Kumar, MR;Fray, EJ;Taylor-Brill, S;Bondoc, S;Agnor, R;Junell, SL;Legasse, AW;Moats, C;Bochart, RM;Sciurba, J;Bimber, BN;Sullivan, MN;Dozier, B;MacAllister, RP;Hobbs, TR;Martin, LD;Panoskaltsis-Mortari, A;Colgin, LMA;Siliciano, RF;Siliciano, JD;Estes, JD;Smedley, JV;Axthelm, MK;Meyers, G;Maziarz, RT;Burwitz, BJ;Stanton, JJ;Sacha, JB;
PMID: 37236188 | DOI: 10.1016/j.immuni.2023.04.019
Journal of Hematopathology
2023 Feb 01
Shi, Y;Mi, L;Lai, Y;Zhao, M;Jia, L;Du, T;Song, Y;Li, X;
| DOI: 10.1007/s12308-023-00530-1
bioRxiv : the preprint server for biology
2023 Feb 21
Chen, J;Zheng, Q;Hicks, JL;Trabzonlu, L;Ozbek, B;Jones, T;Vaghasia, A;Larman, TC;Wang, R;Markowski, MC;Denmeade, SR;Pienta, KJ;Hruban, RH;Antonaraskis, ES;Gupta, A;Dang, CV;Yegnasubramanian, S;De Marzo, AM;
PMID: 36865273 | DOI: 10.1101/2023.02.20.529259
Cancer cell
2022 Dec 20
Li, Y;Lih, TM;Dhanasekaran, SM;Mannan, R;Chen, L;Cieslik, M;Wu, Y;Lu, RJ;Clark, DJ;Kołodziejczak, I;Hong, R;Chen, S;Zhao, Y;Chugh, S;Caravan, W;Naser Al Deen, N;Hosseini, N;Newton, CJ;Krug, K;Xu, Y;Cho, KC;Hu, Y;Zhang, Y;Kumar-Sinha, C;Ma, W;Calinawan, A;Wyczalkowski, MA;Wendl, MC;Wang, Y;Guo, S;Zhang, C;Le, A;Dagar, A;Hopkins, A;Cho, H;Leprevost, FDV;Jing, X;Teo, GC;Liu, W;Reimers, MA;Pachynski, R;Lazar, AJ;Chinnaiyan, AM;Van Tine, BA;Zhang, B;Rodland, KD;Getz, G;Mani, DR;Wang, P;Chen, F;Hostetter, G;Thiagarajan, M;Linehan, WM;Fenyö, D;Jewell, SD;Omenn, GS;Mehra, R;Wiznerowicz, M;Robles, AI;Mesri, M;Hiltke, T;An, E;Rodriguez, H;Chan, DW;Ricketts, CJ;Nesvizhskii, AI;Zhang, H;Ding, L;Clinical Proteomic Tumor Analysis Consortium, ;
PMID: 36563681 | DOI: 10.1016/j.ccell.2022.12.001
Proceedings of the National Academy of Sciences of the United States of America
2022 Nov 15
Caligiuri, SPB;Howe, WM;Wills, L;Smith, ACW;Lei, Y;Bali, P;Heyer, MP;Moen, JK;Ables, JL;Elayouby, KS;Williams, M;Fillinger, C;Oketokoun, Z;Lehmann, VE;DiFeliceantonio, AG;Johnson, PM;Beaumont, K;Sebra, RP;Ibanez-Tallon, I;Kenny, PJ;
PMID: 36346845 | DOI: 10.1073/pnas.2209870119
Cell death & disease
2022 Nov 09
Liu, Y;Cao, L;Song, Y;Kang, Z;Liu, T;Ding, J;Hu, G;Lu, M;
PMID: 36351889 | DOI: 10.1038/s41419-022-05399-z
Nature genetics
2022 Oct 27
Xu, Y;Kuppe, C;Perales-Patón, J;Hayat, S;Kranz, J;Abdallah, AT;Nagai, J;Li, Z;Peisker, F;Saritas, T;Halder, M;Menzel, S;Hoeft, K;Kenter, A;Kim, H;van Roeyen, CRC;Lehrke, M;Moellmann, J;Speer, T;Buhl, EM;Hoogenboezem, R;Boor, P;Jansen, J;Knopp, C;Kurth, I;Smeets, B;Bindels, E;Reinders, MEJ;Baan, C;Gribnau, J;Hoorn, EJ;Steffens, J;Huber, TB;Costa, I;Floege, J;Schneider, RK;Saez-Rodriguez, J;Freedman, BS;Kramann, R;
PMID: 36303074 | DOI: 10.1038/s41588-022-01202-z
Cell reports methods
2022 Oct 24
Ali Marandi Ghoddousi, R;Magalong, VM;Kamitakahara, AK;Levitt, P;
PMID: 36313803 | DOI: 10.1016/j.crmeth.2022.100316
Description | ||
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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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