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
Nat Biotechnol.
2017 Dec 11
Lake BB, Chen S, Sos BC, Fan J, Kaeser GE, Yung YC, Duong TE, Gao D, Chun J, Kharchenko PV, Zhang K.
PMID: 29227469 | DOI: 10.1038/nbt.4038
Detailed characterization of the cell types in the human brain requires scalable experimental approaches to examine multiple aspects of the molecular state of individual cells, as well as computational integration of the data to produce unified cell-state annotations. Here we report improved high-throughput methods for single-nucleus droplet-based sequencing (snDrop-seq) and single-cell transposome hypersensitive site sequencing (scTHS-seq). We used each method to acquire nuclear transcriptomic and DNA accessibility maps for >60,000 single cells from human adult visual cortex, frontal cortex, and cerebellum. Integration of these data revealed regulatory elements and transcription factors that underlie cell-type distinctions, providing a basis for the study of complex processes in the brain, such as genetic programs that coordinate adult remyelination. We also mapped disease-associated risk variants to specific cellular populations, which provided insights into normal and pathogenic cellular processes in the human brain. This integrative multi-omics approach permits more detailed single-cell interrogation of complex organs and tissues.
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
Elife.
2018 Apr 20
Xiao L, Priest MF, Kozorovitskiy Y.
PMID: 29676731 | DOI: 10.7554/eLife.33892
The experience of rewarding or aversive stimuli is encoded by distinct afferents to dopamine (DA) neurons of the ventral tegmental area (VTA). Several neuromodulatory systems including oxytocin regulate DA neuron excitability and synaptic transmission that process socially meaningful stimuli. We and others have recently characterized oxytocinergic modulation of activity in mouse VTA DA neurons, but the mechanisms underlying oxytocinergic modulation of synaptic transmission in DA neurons remain poorly understood. Here, we find that oxytocin application or optogenetic release decrease excitatory synaptic transmission, via long lasting, presynaptic, endocannabinoid-dependent mechanisms. Oxytocin modulation of excitatory transmission alters the magnitude of short and long-term depression. We find that only some glutamatergic projections to DA neurons express CB1 receptors. Optogenetic stimulation of three major VTA inputs demonstrates that oxytocin modulation is limited to projections that show evidence of CB1R transcripts. Thus, oxytocin gates information flow into reward circuits in a temporally selective and pathway-specific manner.
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.
Cell reports
2023 Mar 28
Sullivan, KE;Kraus, L;Kapustina, M;Wang, L;Stach, TR;Lemire, AL;Clements, J;Cembrowski, MS;
PMID: 36881508 | DOI: 10.1016/j.celrep.2023.112206
bioRxiv : the preprint server for biology
2023 Feb 08
Hughes, AC;Pollard, BG;Xu, B;Gammons, JW;Chapman, P;Bikoff, JB;Schwarz, LA;
PMID: 36798174 | DOI: 10.1101/2023.02.07.527312
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
bioRxiv : the preprint server for biology
2023 Feb 05
Su, Y;Xu, J;Zhu, Z;Yu, H;Nudell, V;Dash, B;Moya, EA;Ye, L;Nimmerjahn, A;Sun, X;
PMID: 36778350 | DOI: 10.1101/2023.02.04.527145
Sci Rep.
2017 Oct 27
Rocco BR, Oh H, Shukla R, Mechawar N, Sibille E.
PMID: 29079825 | DOI: 10.1038/s41598-017-14484-9
Cell-specific molecular investigations of the human brain are essential for understanding the neurobiology of diseases, but are hindered by postmortem conditions and technical challenges. To address these issues we developed a multi-label fluorescence in situ hybridization protocol and a novel optical filter device to identify cell types and control for tissue autofluorescence. We show that these methods can be used with laser-capture microdissection for human brain tissue cell-specific molecular analysis.
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.
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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