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.
Science Translational Medicine
2022 Jun 07
Frere, J;Serafini, R;Pryce, K;Zazhytska, M;Oishi, K;Golynker, I;Panis, M;Zimering, J;Horiuchi, S;Hoagland, D;Møller, R;Ruiz, A;Kodra, A;Overdevest, J;Canoll, P;Borczuk, A;Chandar, V;Bram, Y;Schwartz, R;Lomvardas, S;Zachariou, V;tenOever, B;
| DOI: 10.1126/scitranslmed.abq3059
Cell systems
2022 Jul 15
Murrow, LM;Weber, RJ;Caruso, JA;McGinnis, CS;Phong, K;Gascard, P;Rabadam, G;Borowsky, AD;Desai, TA;Thomson, M;Tlsty, T;Gartner, ZJ;
PMID: 35863345 | DOI: 10.1016/j.cels.2022.06.005
Cell reports
2022 Mar 01
Jeon, H;Lee, H;Kwon, DH;Kim, J;Tanaka-Yamamoto, K;Yook, JS;Feng, L;Park, HR;Lim, YH;Cho, ZH;Paek, SH;Kim, J;
PMID: 35235786 | DOI: 10.1016/j.celrep.2022.110439
The Journal of experimental medicine
2022 Sep 05
Kaiser, FMP;Gruenbacher, S;Oyaga, MR;Nio, E;Jaritz, M;Sun, Q;van der Zwaag, W;Kreidl, E;Zopf, LM;Dalm, VASH;Pel, J;Gaiser, C;van der Vliet, R;Wahl, L;Rietman, A;Hill, L;Leca, I;Driessen, G;Laffeber, C;Brooks, A;Katsikis, PD;Lebbink, JHG;Tachibana, K;van der Burg, M;De Zeeuw, CI;Badura, A;Busslinger, M;
PMID: 35947077 | DOI: 10.1084/jem.20220498
Neuron
2021 May 21
Pribiag, H;Shin, S;Wang, EH;Sun, F;Datta, P;Okamoto, A;Guss, H;Jain, A;Wang, XY;De Freitas, B;Honma, P;Pate, S;Lilascharoen, V;Li, Y;Lim, BK;
PMID: 34048697 | DOI: 10.1016/j.neuron.2021.05.002
Nature
2021 Mar 31
Chen, J;Markowitz, JE;Lilascharoen, V;Taylor, S;Sheurpukdi, P;Keller, JA;Jensen, JR;Lim, BK;Datta, SR;Stowers, L;
PMID: 33790464 | DOI: 10.1038/s41586-021-03403-8
Cell Rep.
2018 Jan 09
Chevée M, Robertson JJ, Cannon GH, Brown SP, Goff LA.
PMID: 29320739 | DOI: 10.1016/j.celrep.2017.12.046
Single-cell RNA sequencing has generated catalogs of transcriptionally defined neuronal subtypes of the brain. However, the cellular processes that contribute to neuronal subtype specification and transcriptional heterogeneity remain unclear. By comparing the gene expression profiles of single layer 6 corticothalamic neurons in somatosensory cortex, we show that transcriptional subtypes primarily reflect axonal projection pattern, laminar position within the cortex, and neuronal activity state. Pseudotemporal ordering of 1,023 cellular responses to sensory manipulation demonstrates that changes in expression of activity-induced genes both reinforced cell-type identity and contributed to increased transcriptional heterogeneity within each cell type. This is due to cell-type biased choices of transcriptional states following manipulation of neuronal activity. These results reveal that axonal projection pattern, laminar position, and activity state define significant axes of variation that contribute both to the transcriptional identity of individual neurons and to the transcriptional heterogeneity within each neuronal subtype.
Cell Rep.
2018 Nov 20
Zhu D, Zhao Z, Cui G, Chang S, Hu L, See YX, Lim MGL, Guo D, Chen X, Robson P, Luo Y, Cheung E.
PMID: 30463022 | DOI: 10.1016/j.celrep.2018.10.093
Estrogen drives breast cancer (BCa) progression by directly activating estrogen receptor α (ERα). However, because of the stochastic nature of gene transcription, it is important to study the estrogen signaling pathway at the single-cell level to fully understand how ERα regulates transcription. Here, we performed single-cell transcriptome analysis on ERα-positive BCa cells following 17β-estradiol stimulation and reconstructed the dynamic estrogen-responsive transcriptional network from discrete time points into a pseudotemporal continuum. Notably, differentially expressed genes show an estrogen-stimulated metabolic switch that favors biosynthesis but reduces estrogen degradation. Moreover, folate-mediated one-carbon metabolism is reprogrammed through the mitochondrial folate pathway and polyamine and purine synthesis are upregulated coordinately. Finally, we show AZIN1 and PPAT are direct ERα targets that are essential for BCa cell survival and growth. In summary, our study highlights the dynamic transcriptional heterogeneity in ERα-positive BCa cells upon estrogen stimulation and uncovers a mechanism of estrogen-mediated metabolic switch.
Nat Neurosci.
2017 Jan 30
McHenry JA, Otis JM, Rossi MA, Robinson JE, Kosyk O, Miller NW, McElligott ZA, Budygin EA, Rubinow DR, Stuber GD.
PMID: 28135243 | DOI: 10.1038/nn.4487
Neural networks that control reproduction must integrate social and hormonal signals, tune motivation, and coordinate social interactions. However, the neural circuit mechanisms for these processes remain unresolved. The medial preoptic area (mPOA), an essential node for social behaviors, comprises molecularly diverse neurons with widespread projections. Here we identify a steroid-responsive subset of neurotensin (Nts)-expressing mPOA neurons that interface with the ventral tegmental area (VTA) to form a socially engaged reward circuit. Using in vivo two-photon imaging in female mice, we show that mPOANts neurons preferentially encode attractive male cues compared to nonsocial appetitive stimuli. Ovarian hormone signals regulate both the physiological and cue-encoding properties of these cells. Furthermore, optogenetic stimulation of mPOANts-VTA circuitry promotes rewarding phenotypes, social approach and striatal dopamine release. Collectively, these data demonstrate that steroid-sensitive mPOA neurons encode ethologically relevant stimuli and co-opt midbrain reward circuits to promote prosocial behaviors critical for species survival.
Cell reports
2021 Nov 23
Donohue, JD;Amidon, RF;Murphy, TR;Wong, AJ;Liu, ED;Saab, L;King, AJ;Pae, H;Ajayi, MT;Anderson, GR;
PMID: 34818557 | DOI: 10.1016/j.celrep.2021.110031
Nat Commun.
2018 Nov 09
Cagnet S, Ataca D, Sflomos G, Aouad P, Schuepbach-Mallepell S, Hugues H, Krust A, Ayyanan A, Scabia V, Brisken C.
PMID: 30413705 | DOI: 10.1038/s41467-018-07175-0
Oestrogen receptor α (ERα) is a transcription factor with ligand-independent and ligand-dependent activation functions (AF)-1 and -2. Oestrogens control postnatal mammary gland development acting on a subset of mammary epithelial cells (MECs), termed sensor cells, which are ERα-positive by immunohistochemistry (IHC) and secrete paracrine factors, which stimulate ERα-negative responder cells. Here we show that deletion of AF-1 or AF-2 blocks pubertal ductal growth and subsequent development because both are required for expression of essential paracrine mediators. Thirty percent of the luminal cells are ERα-negative by IHC but express Esr1 transcripts. This low level ERα expression through AF-2 is essential for cell expansion during puberty and growth-inhibitory during pregnancy. Cell-intrinsic ERα is not required for cell proliferation nor for secretory differentiation but controls transcript levels of cell motility and cell adhesion genes and a stem cell and epithelial mesenchymal transition (EMT) signature identifying ERα as a key regulator of mammary epithelial cell plasticity.
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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