ACD can configure probes for the various manual and automated assays for SLC17A7 for RNAscope Assay, or for Basescope Assay compatible for your species of interest.
Neuron
2018 Sep 27
Abs E, Poorthuis RB, Apelblat D, Muhammad K, Pardi MB, Enke L, Kushinsky D, Pu DL, Eizinger MF, Conzelmann KK, Spiegel I, Letzkus JJ.
PMID: - | DOI: 10.1016/j.neuron.2018.09.001
A wealth of data has elucidated the mechanisms by which sensory inputs are encoded in the neocortex, but how these processes are regulated by the behavioral relevance of sensory information is less understood. Here, we focus on neocortical layer 1 (L1), a key location for processing of such top-down information. Using Neuron-Derived Neurotrophic Factor(NDNF) as a selective marker of L1 interneurons (INs) and in vivo 2-photon calcium imaging, electrophysiology, viral tracing, optogenetics, and associative memory, we find that L1 NDNF-INs mediate a prolonged form of inhibition in distal pyramidal neuron dendrites that correlates with the strength of the memory trace. Conversely, inhibition from Martinotti cells remains unchanged after conditioning but in turn tightly controls sensory responses in NDNF-INs. These results define a genetically addressable form of dendritic inhibition that is highly experience dependent and indicate that in addition to disinhibition, salient stimuli are encoded at elevated levels of distal dendritic inhibition.
Front Cell Neurosci. 2018 Oct 9;12:341.
2018 Oct 09
Yoo T, Cho H, Lee J, Park H, Yoo YE, Yang E, Kim JY, Kim H, Kim E.
PMID: 30356810 | DOI: 10.3389/fncel.2018.00341
Nat Neurosci. 2019 Jan;22(1):47-56.
2018 Dec 17
Fu H, Possenti A, Freer R, Nakano Y, Villegas NCH, Tang M, Cauhy PVM, Lassus BA, Chen S, Fowler SL, Figueroa HY, Huey ED, Johnson GVW, Vendruscolo M, Duff KE.
PMID: 30559469 | DOI: 10.1038/s41593-018-0298-7
Nature
2019 May 01
Mathys H, Davila-Velderrain J, Peng Z, Gao F, Mohammadi S, Young JZ, Menon M, He L, Abdurrob F, Jiang X, Martorell AJ, Ransohoff RM, Hafler BP, Bennett DA, Kellis M, Tsai LH.
PMID: 31042697 | DOI: 10.1038/s41586-019-1195-2
Alzheimer's disease (AD) is a pervasive neurodegenerative disorder, the molecular and cellular complexity of which remains poorly understood. Here, we profiled and analysed 80,660 single-nucleus transcriptomes from prefrontal cortex of 48 individuals with varying degrees of AD pathology. We identified transcriptionally-distinct subpopulations across six major brain cell-types, including those associated with pathology and characterized by regulators of myelination, inflammation, and neuron survival. The strongest AD-associated changes appeared early in pathological progression and were highly cell-type-specific, whereas genes upregulated in late-stage were common across cell types and primarily involved in global stress response. Surprisingly, we found an overrepresentation of female cells in AD-associated subpopulations, and substantially different transcriptional responses between sexes in multiple cell types, including oligodendrocytes. Overall, myelination-related processes were recurrently perturbed in multiple cell types, suggesting a key role in AD pathophysiology. Our single-celltranscriptomic resource provides a first blueprint for interrogating the molecular underpinnings and cellular basis of AD.
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.
Nature communications
2023 Jun 15
Oh, H;Lee, S;Oh, Y;Kim, S;Kim, YS;Yang, Y;Choi, W;Yoo, YE;Cho, H;Lee, S;Yang, E;Koh, W;Won, W;Kim, R;Lee, CJ;Kim, H;Kang, H;Kim, JY;Ku, T;Paik, SB;Kim, E;
PMID: 37321992 | DOI: 10.1038/s41467-023-39203-z
Molecular psychiatry
2023 Jun 26
Cho, H;Yoo, T;Moon, H;Kang, H;Yang, Y;Kang, M;Yang, E;Lee, D;Hwang, D;Kim, H;Kim, D;Kim, JY;Kim, E;
PMID: 37365244 | DOI: 10.1038/s41380-023-02129-5
Nature communications
2023 Apr 17
Becker, LJ;Fillinger, C;Waegaert, R;Journée, SH;Hener, P;Ayazgok, B;Humo, M;Karatas, M;Thouaye, M;Gaikwad, M;Degiorgis, L;Santin, MDN;Mondino, M;Barrot, M;Ibrahim, EC;Turecki, G;Belzeaux, R;Veinante, P;Harsan, LA;Hugel, S;Lutz, PE;Yalcin, I;
PMID: 37069164 | DOI: 10.1038/s41467-023-37878-y
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
2023 Mar 24
Yi, T;Wang, N;Huang, J;Wang, Y;Ren, S;Hu, Y;Xia, J;Liao, Y;Li, X;Luo, F;Ouyang, Q;Li, Y;Zheng, Z;Xiao, Q;Ren, R;Yao, Z;Tang, X;Wang, Y;Chen, X;He, C;Li, H;Hu, Z;
PMID: 36961096 | DOI: 10.1002/advs.202300189
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
Nature communications
2022 Nov 12
Wei, JR;Hao, ZZ;Xu, C;Huang, M;Tang, L;Xu, N;Liu, R;Shen, Y;Teichmann, SA;Miao, Z;Liu, S;
PMID: 36371428 | DOI: 10.1038/s41467-022-34590-1
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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