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.
2018 Aug 09
Saunders A, Macosko EZ, Wysoker A, Goldman M, Krienen FM, de Rivera H, Bien E, Baum M, Bortolin L, Wang S, Goeva A, Nemesh J, Kamitaki N, Brumbaugh S, Kulp D, McCarroll SA.
PMID: 30096299 | DOI: 10.1016/j.cell.2018.07.028
The mammalian brain is composed of diverse, specialized cell populations. To systematically ascertain and learn from these cellular specializations, we used Drop-seq to profile RNA expression in 690,000 individual cells sampled from 9 regions of the adult mouse brain. We identified 565 transcriptionally distinct groups of cells using computational approaches developed to distinguish biological from technical signals. Cross-region analysis of these 565 cell populations revealed features of brain organization, including a gene-expression module for synthesizing axonal and presynaptic components, patterns in the co-deployment of voltage-gated ion channels, functional distinctions among the cells of the vasculature and specialization of glutamatergic neurons across cortical regions. Systematic neuronal classifications for two complex basal ganglia nuclei and the striatum revealed a rare population of spiny projection neurons. This adult mouse brain cell atlas, accessible through interactive online software (DropViz), serves as a reference for development, disease, and evolution.
Nature genetics
2021 Apr 08
Kameneva, P;Artemov, AV;Kastriti, ME;Faure, L;Olsen, TK;Otte, J;Erickson, A;Semsch, B;Andersson, ER;Ratz, M;Frisén, J;Tischler, AS;de Krijger, RR;Bouderlique, T;Akkuratova, N;Vorontsova, M;Gusev, O;Fried, K;Sundström, E;Mei, S;Kogner, P;Baryawno, N;Kharchenko, PV;Adameyko, I;
PMID: 33833454 | DOI: 10.1038/s41588-021-00818-x
Nature genetics
2021 Mar 25
Jansky, S;Sharma, AK;Körber, V;Quintero, A;Toprak, UH;Wecht, EM;Gartlgruber, M;Greco, A;Chomsky, E;Grünewald, TGP;Henrich, KO;Tanay, A;Herrmann, C;Höfer, T;Westermann, F;
PMID: 33767450 | DOI: 10.1038/s41588-021-00806-1
Proceedings of the National Academy of Sciences of the United States of America
2021 Mar 23
Tanaka, S;Abe, C;Abbott, SBG;Zheng, S;Yamaoka, Y;Lipsey, JE;Skrypnyk, NI;Yao, J;Inoue, T;Nash, WT;Stornetta, DS;Rosin, DL;Stornetta, RL;Guyenet, PG;Okusa, MD;
PMID: 33737395 | DOI: 10.1073/pnas.2021758118
Nat Commun.
2018 Jan 04
Mangieri LR, Lu Y, Xu Y, Cassidy RM, Xu Y, Arenkiel BR, Tong Q.
PMID: 29302029 | DOI: 10.1038/s41467-017-02534-9
Abnormal feeding often co-exists with compulsive behaviors, but the underlying neural basis remains unknown. Excessive self-grooming in rodents is associated with compulsivity. Here, we show that optogenetically manipulating the activity of lateral hypothalamus (LH) projections targeting the paraventricular hypothalamus (PVH) differentially promotes either feeding or repetitive self-grooming. Whereas selective activation of GABAergic LH→PVH inputs induces feeding, activation of glutamatergic inputs promotes self-grooming. Strikingly, targeted stimulation of GABAergic LH→PVH leads to rapid and reversible transitions to feeding from induced intense self-grooming, while activating glutamatergic LH→PVH or PVH neurons causes rapid and reversible transitions to self-grooming from voracious feeding induced by fasting. Further, specific inhibition of either LH→PVH GABAergic action or PVH neurons reduces self-grooming induced by stress. Thus, we have uncovered a parallel LH→PVH projection circuit for antagonistic control of feeding and self-grooming through dynamic modulation of PVH neuron activity, revealing a common neural pathway that underlies feeding and compulsive behaviors.
Science advances
2021 May 01
Phua, SC;Tan, YL;Kok, AMY;Senol, E;Chiam, CJH;Lee, CY;Peng, Y;Lim, ATJ;Mohammad, H;Lim, JX;Fu, Y;
PMID: 33962958 | DOI: 10.1126/sciadv.abe4323
Nature
2021 Oct 13
Wu, YE;Dang, J;Kingsbury, L;Zhang, M;Sun, F;Hu, RK;Hong, W;
PMID: 10.1038/s41586-021-03962-w | DOI: Ethics declarations
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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