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.
Neuron.
2017 Mar 22
Kim J, Zhang X, Muralidhar S, LeBlanc SA, Tonegawa S.
PMID: 28334609 | DOI: 10.1016/j.neuron.2017.02.034
Basolateral amygdala (BLA) principal cells are capable of driving and antagonizing behaviors of opposing valence. BLA neurons project to the central amygdala (CeA), which also participates in negative and positive behaviors. However, the CeA has primarily been studied as the site for negative behaviors, and the causal role for CeA circuits underlying appetitive behaviors is poorly understood. Here, we identify several genetically distinct populations of CeA neurons that mediate appetitive behaviors and dissect the BLA-to-CeA circuit for appetitive behaviors. Protein phosphatase 1 regulatory subunit 1B+ BLA pyramidal neurons to dopamine receptor 1+ CeA neurons define a pathway for promoting appetitive behaviors, while R-spondin 2+ BLA pyramidal neurons to dopamine receptor 2+ CeA neurons define a pathway for suppressing appetitive behaviors. These data reveal genetically defined neural circuits in the amygdala that promote and suppress appetitive behaviors analogous to the direct and indirect pathways of the basal ganglia.
Nature metabolism
2022 Apr 01
Haddad-Tóvolli, R;Ramírez, S;Muñoz-Moreno, E;Milà-Guasch, M;Miquel-Rio, L;Pozo, M;Chivite, I;Altirriba, J;Obri, A;Gómez-Valadés, AG;Toledo, M;Eyre, E;Bortolozzi, A;Valjent, E;Soria, G;Claret, M;
PMID: 35379970 | DOI: 10.1038/s42255-022-00557-1
JAMA Oncol.
2016 Dec 08
D'Souza G, Westra WH, Wang SJ, van Zante A, Wentz A, Kluz N, Rettig E, Ryan WR, Ha PK, Kang H, Bishop J, Quon H, Kiess AP, Richmon JD, Eisele DW, Fakhry C.
PMID: 27930766 | DOI: 10.1001/jamaoncol.2016.3067
Infectious Agents and Cancer
2019 Mar 05
Kiyuna A, Ikegami T, Uehara T, Hirakawa H, Agena S, Uezato J, Kondo S, Yamashita Y, Deng Z, Maeda H, Suzuki M, Ganaha A.
PMID: - | DOI: 10.1186/s13027-019-0224-y
Background
Oropharyngeal cancers associated with high-risk type human papillomavirus (HR-HPV) infection have better prognosis than virus negative cancers. Similarly, the HPV status in laryngeal cancer (LC) may be associated with better outcome.
Methods
Samples from 88 patients with LC were investigated using the polymerase chain reaction (PCR) and p16 immunohistochemistry for HR-HPV analysis. The cut-off point for p16 overexpression was diffuse (≥75%) tumor expression with at least moderate (+ 2/3) staining intensity.
Results
The 5-year cumulative survival (CS) rate was 80.7% in all patients with LC. According to a combination of HR-HPV DNA status and p16 overexpression, subjects with LC were divided into four groups: HR-HPV DNA-positive/p16 overexpression-positive (n = 5, 5.7%; CS = 100%), HR-HPV DNA-positive/p16 overexpression-negative (n = 11, 12.5%; CS =81.8%), HR-HPV DNA-negative/p16 overexpression-positive (n = 0), and HR-HPV DNA-negative/p16 overexpression-negative (n = 72, 81.8%; CS = 79.5%). HR-HPV DNA-positive/p16-positive cases tended to have integrated HPV infection and high viral load, compared with HR-HPV DNA-positive/p16 overexpression-negative cases.
Conclusions
LC patients with HPV infection and high levels of p16 expression might have an improved survival outcome; however, it is necessary to recruit additional LC cases with HPV infection to determine the definitive characteristics of HPV-mediated LC and estimate survival outcome. These results may contribute to the development of a useful method for selecting patients with a potentially fair response to treatment and ensure laryngeal preservation.
Head & Neck Pathology, 5(2):108–116.
Masand RP, El-Mofty SK, Ma XJ, Luo Y, Flanagan JJ, Lewis JS Jr (2011).
PMID: 21305368 | DOI: 10.1007/s12105-011-0245-3.
JAAD Case Reports 1.4 (2015): 196-199.
Chen CH, Wu YY, Kuo KT, Liau JY, Liang CW.
PMID: http
Mod Pathol. 2012 Sep;25(9):1212-20.
Lewis JS Jr1, Chernock RD, Ma XJ, Flanagan JJ, Luo Y, Gao G, Wang X, El-Mofty SK (2012)
PMID: 22596101doi
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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