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.
Nat Neurosci.
2018 Aug 27
"Boldog E, Bakken TE, Hodge RD, Novotny M, Aevermann BD, Baka J, Bordé S, Close JL, Diez-Fuertes F, Ding SL, Faragó N, Kocsis AK, Kovács B, Maltzer Z, McCorrison JM, Miller JA, Molnár G, Oláh G, Ozsvár A, Rózsa M, Shehata SI, Smith KA, Sunkin SM, Tran D
PMID: 30150662 | DOI: 10.1038/s41593-018-0205-2
We describe convergent evidence from transcriptomics, morphology, and physiology for a specialized GABAergic neuron subtype in human cortex. Using unbiased single-nucleus RNA sequencing, we identify ten GABAergic interneuron subtypes with combinatorial gene signatures in human cortical layer 1 and characterize a group of human interneurons with anatomical features never described in rodents, having large 'rosehip'-like axonal boutons and compact arborization. These rosehip cells show an immunohistochemical profile (GAD1+CCK+, CNR1-SST-CALB2-PVALB-) matching a single transcriptomically defined cell type whose specific molecular marker signature is not seen in mouse cortex. Rosehip cells in layer 1 make homotypic gap junctions, predominantly target apical dendritic shafts of layer 3 pyramidal neurons, and inhibit backpropagating pyramidal action potentials in microdomains of the dendritic tuft. These cells are therefore positioned for potent local control of distal dendritic computation in cortical pyramidal neurons.
STAR protocols
2022 Jun 17
Nilsson, OR;Kari, L;Rosenke, R;Steele-Mortimer, O;
PMID: 35345596 | DOI: 10.1016/j.xpro.2022.101256
Nature neuroscience
2022 Oct 01
Auguste, YSS;Ferro, A;Kahng, JA;Xavier, AM;Dixon, JR;Vrudhula, U;Nichitiu, AS;Rosado, D;Wee, TL;Pedmale, UV;Cheadle, L;
PMID: 36171430 | DOI: 10.1038/s41593-022-01170-x
Brain Sci
2020 Apr 10
Losurdo M, Davidsson J, Sk�ld MK
PMID: 32290212 | DOI: 10.3390/brainsci10040229
Nature
2022 Jul 01
Garcia-Alonso, L;Lorenzi, V;Mazzeo, CI;Alves-Lopes, JP;Roberts, K;Sancho-Serra, C;Engelbert, J;Marečková, M;Gruhn, WH;Botting, RA;Li, T;Crespo, B;van Dongen, S;Kiselev, VY;Prigmore, E;Herbert, M;Moffett, A;Chédotal, A;Bayraktar, OA;Surani, A;Haniffa, M;Vento-Tormo, R;
PMID: 35794482 | DOI: 10.1038/s41586-022-04918-4
Nature (2015)
Wang B, Zhao L, Fish M, Logan CY, Nusse R.
PMID: 26245375 | DOI: 10.1038/nature14863
J Cell Biochem.
2016 May 18
Anderson CM, Zhang B, Miller M, Butko E, Wu X, Laver T, Kernag C, Kim J, Luo Y, Lamparski H, Park E, Su N, Ma XJ.
PMID: 27191821 | DOI: 10.1002/jcb.25606.
Biomarkers such as DNA, RNA, and protein are powerful tools in clinical diagnostics and therapeutic development for many diseases. Identifying RNA expression at the single cell level within the morphological context by RNA in situ hybridization provides a great deal of information on gene expression changes over conventional techniques that analyze bulk tissue, yet widespread use of this technique in the clinical setting has been hampered by the dearth of automated RNA ISH assays. Here we present an automated version of the RNA ISH technology RNAscope that is adaptable to multiple automation platforms. The automated RNAscope assay yields a high signal-to-noise ratio with little to no background staining and results comparable to the manual assay. In addition, the automated duplex RNAscope assay was able to detect two biomarkers simultaneously. Lastly, assay consistency and reproducibility were confirmed by quantification of TATA-box binding protein (TBP) mRNA signals across multiple lots and multiple experiments. Taken together, the data presented in this study demonstrate that the automated RNAscope technology is a high performance RNA ISH assay with broad applicability in biomarker research and diagnostic assay development.
Nat Neurosci.
2017 Dec 11
Hrvatin S, Hochbaum DR, Nagy MA, Cicconet M, Robertson K, Cheadle L, Zilionis R, Ratner A, Borges-Monroy R, Klein AM, Sabatini BL, Greenberg ME.
PMID: 29230054 | DOI: 10.1038/s41593-017-0029-5
Activity-dependent transcriptional responses shape cortical function. However, a comprehensive understanding of the diversity of these responses across the full range of cortical cell types, and how these changes contribute to neuronal plasticity and disease, is lacking. To investigate the breadth of transcriptional changes that occur across cell types in the mouse visual cortex after exposure to light, we applied high-throughput single-cell RNA sequencing. We identified significant and divergent transcriptional responses to stimulation in each of the 30 cell types characterized, thus revealing 611 stimulus-responsive genes. Excitatory pyramidal neurons exhibited inter- and intralaminar heterogeneity in the induction of stimulus-responsive genes. Non-neuronal cells showed clear transcriptional responses that may regulate experience-dependent changes in neurovascular coupling and myelination. Together, these results reveal the dynamic landscape of the stimulus-dependent transcriptional changes occurring across cell types in the visual cortex; these changes are probably critical for cortical function and may be sites of deregulation in developmental brain disorders.
Science.
2018 Apr 20
Filbin MG, Tirosh I, Hovestadt V, Shaw ML, Escalante LE, Mathewson ND, Neftel C, Frank N, Pelton K, Hebert CM, Haberler C, Yizhak K, Gojo J, Egervari K, Mount C, van Galen P, Bonal DM, Nguyen QD, Beck A, Sinai C, Czech T, Dorfer C, Goumnerova L, Lavarino
PMID: 29674595 | DOI: 10.1126/science.aao4750
Gliomas with histone H3 lysine27-to-methionine mutations (H3K27M-glioma) arise primarily in the midline of the central nervous system of young children, suggesting a cooperation between genetics and cellular context in tumorigenesis. Although the genetics of H3K27M-glioma are well characterized, their cellular architecture remains uncharted. We performed single-cell RNA sequencing in 3321 cells from six primary H3K27M-glioma and matched models. We found that H3K27M-glioma primarily contain cells that resemble oligodendrocyte precursor cells (OPC-like), whereas more differentiated malignant cells are a minority. OPC-like cells exhibit greater proliferation and tumor-propagating potential than their more differentiated counterparts and are at least in part sustained by PDGFRA signaling. Our study characterizes oncogenic and developmental programs in H3K27M-glioma at single-cell resolution and across genetic subclones, suggesting potential therapeutic targets in this disease.
Cell Rep. 2018 Dec 18;25(12):3435-3450.e6.
2018 Dec 18
Wang J, Saraswat D, Sinha AK, Polanco J, Dietz K, O'Bara MA, Pol SU, Shayya HJ, Sim FJ.
PMID: 30566868 | DOI: 10.1016/j.celrep.2018.11.068
JCI insight
2023 Jan 10
Dada, LA;Welch, LC;Magnani, ND;Ren, Z;Han, H;Brazee, PL;Celli, D;Flozak, AS;Weng, A;Herrerias, MM;Kryvenko, V;Vadász, I;Runyan, CE;Abdala-Valencia, H;Shigemura, M;Casalino-Matsuda, SM;Misharin, AV;Budinger, GRS;Gottardi, CJ;Sznajder, JI;
PMID: 36626234 | DOI: 10.1172/jci.insight.159331
Pathology international
2022 Jan 12
Ichihara, R;Shiraki, Y;Mizutani, Y;Iida, T;Miyai, Y;Esaki, N;Kato, A;Mii, S;Ando, R;Hayashi, M;Takami, H;Fujii, T;Takahashi, M;Enomoto, A;
PMID: 35020975 | DOI: 10.1111/pin.13198
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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