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.
Your search for "INS" returned 0 results. Search for our Top genes LGR5, vglut2, gad67, brca1
Science translational medicine
2023 Apr 19
Huang, WC;Peng, Z;Murdock, MH;Liu, L;Mathys, H;Davila-Velderrain, J;Jiang, X;Chen, M;Ng, AP;Kim, T;Abdurrob, F;Gao, F;Bennett, DA;Kellis, M;Tsai, LH;
PMID: 37075128 | DOI: 10.1126/scitranslmed.abq1019
Science (New York, N.Y.)
2022 Aug 25
Ma, S;Skarica, M;Li, Q;Xu, C;Risgaard, RD;Tebbenkamp, ATN;Mato-Blanco, X;Kovner, R;Krsnik, Ž;de Martin, X;Luria, V;Martí-Pérez, X;Liang, D;Karger, A;Schmidt, DK;Gomez-Sanchez, Z;Qi, C;Gobeske, KT;Pochareddy, S;Debnath, A;Hottman, CJ;Spurrier, J;Teo, L;Boghdadi, AG;Homman-Ludiye, J;Ely, JJ;Daadi, EW;Mi, D;Daadi, M;Marín, O;Hof, PR;Rasin, MR;Bourne, J;Sherwood, CC;Santpere, G;Girgenti, MJ;Strittmatter, SM;Sousa, AMM;Sestan, N;
PMID: 36007006 | DOI: 10.1126/science.abo7257
Nat Neurosci.
2018 Jan 15
Hochgerner H, Zeisel A, Lönnerberg P, Linnarsson S.
PMID: 29335606 | DOI: 10.1038/s41593-017-0056-2
The dentate gyrus of the hippocampus is a brain region in which neurogenesis persists into adulthood; however, the relationship between developmental and adult dentate gyrus neurogenesis has not been examined in detail. Here we used single-cell RNA sequencing to reveal the molecular dynamics and diversity of dentate gyrus cell types in perinatal, juvenile, and adult mice. We found distinct quiescent and proliferating progenitor cell types, linked by transient intermediate states to neuroblast stages and fully mature granule cells. We observed shifts in the molecular identity of quiescent and proliferating radial glia and granule cells during the postnatal period that were then maintained through adult stages. In contrast, intermediate progenitor cells, neuroblasts, and immature granule cells were nearly indistinguishable at all ages. These findings demonstrate the fundamental similarity of postnatal and adult neurogenesis in the hippocampus and pinpoint the early postnatal transformation of radial glia from embryonic progenitors to adult quiescent stem cells.
Cancer Res.
2018 Feb 15
Zhao Q, Eichten A, Parveen AA, Adler C, Huang Y, Wang W, Ding Y, Adler A, Nevins T, Ni M, Wei Y, Thurston G.
PMID: 29449267 | DOI: 10.1158/0008-5472.CAN-17-2728
Angiogenesis involves dynamic interactions between specialized endothelial tip and stalk cells that are believed to be regulated in part by VEGF and Dll4-Notch signaling. However, our understanding of this process is hampered by limited knowledge of the heterogeneity of endothelial cells and the role of different signaling pathways in specifying endothelial phenotypes. Here we characterized by single cell transcriptomics the heterogeneity of mouse endothelial cells and other stromal cells during active angiogenesis in xenograft tumors as well as from adult normal heart, following pharmacologic inhibition of VEGF and Dll4-Notch signaling. We classified tumor endothelial cells into three subpopulations that appeared to correspond with tip-like, transition and stalk-like cells. Previously identified markers for tip and stalk cells were confirmed and several novel ones discovered. Blockade of VEGF rapidly inhibited cell cycle genes and strongly reduced the proportion of endothelial tip cells in tumors. In contrast, blockade of Dll4 promoted endothelial proliferation as well as tip cell markers; blockade of both pathways inhibited endothelial proliferation but preserved some tip cells. We also phenotypically classified other tumor stromal cells and found that tumor-associated fibroblasts (TAFs) responded to anti-angiogenic drug treatments by upregulating hypoxia-associated genes and producing secreted factors involved in angiogenesis. Overall, our findings better define the heterogeneity of tumor endothelial and other stromal cells and reveal the roles of VEGF and Dll4-Notch in specifying tumor endothelial phenotype, highlighting the response of stromal cells to anti-angiogenic therapies.
Proceedings of the National Academy of Sciences of the United States of America
2022 Jul 12
Axelsson Raja, A;Wakimoto, H;DeLaughter, DM;Reichart, D;Gorham, J;Conner, DA;Lun, M;Probst, CK;Sakai, N;Knipe, RS;Montesi, SB;Shea, B;Adam, LP;Leinwand, LA;Wan, W;Choi, ES;Lindberg, EL;Patone, G;Noseda, M;Hübner, N;Seidman, CE;Tager, AM;Seidman, JG;Ho, CY;
PMID: 35787042 | DOI: 10.1073/pnas.2204174119
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.
Nat Neurosci.
2018 Apr 23
Häring M, Zeisel A, Hochgerner H, Rinwa P, Jakobsson JET, Lönnerberg P, La Manno G, Sharma N, Borgius L, Kiehn O, Lagerström MC, Linnarsson S, Ernfors P.
PMID: 29686262 | DOI: 10.1038/s41593-018-0141-1
The dorsal horn of the spinal cord is critical to processing distinct modalities of noxious and innocuous sensation, but little is known of the neuronal subtypes involved, hampering efforts to deduce principles governing somatic sensation. Here we used single-cell RNA sequencing to classify sensory neurons in the mouse dorsal horn. We identified 15 inhibitory and 15 excitatory molecular subtypes of neurons, equaling the complexity in cerebral cortex. Validating our classification scheme in vivo and matching cell types to anatomy of the dorsal horn by spatial transcriptomics reveals laminar enrichment for each of the cell types. Neuron types, when combined, define a multilayered organization with like neurons layered together. Employing our scheme, we find that heat and cold stimuli activate discrete sets of both excitatory and inhibitory neuron types. This work provides a systematic and comprehensive molecular classification of spinal cord sensory neurons, enabling functional interrogation of sensory processing.
Science.
2016 Jun 24
Lake BB, Ai R, Kaeser GE, Salathia NS, Yung YC, Liu R, Wildberg A, Gao D, Fung HL, Chen S, Vijayaraghavan R, Wong J, Chen A, Sheng X, Kaper F, Shen R, Ronaghi M, Fan JB, Wang W, Chun J, Zhang K.
PMID: 27339989 | DOI: 10.1126/science.aaf1204
The human brain has enormously complex cellular diversity and connectivities fundamental to our neural functions, yet difficulties in interrogating individual neurons has impeded understanding of the underlying transcriptional landscape. We developed a scalable approach to sequence and quantify RNA molecules in isolated neuronal nuclei from a postmortem brain, generating 3227 sets of single-neuron data from six distinct regions of the cerebral cortex. Using an iterative clustering and classification approach, we identified 16 neuronal subtypes that were further annotated on the basis of known markers and cortical cytoarchitecture. These data demonstrate a robust and scalable method for identifying and categorizing single nuclear transcriptomes, revealing shared genes sufficient to distinguish previously unknown and orthologous neuronal subtypes as well as regional identity and transcriptomic heterogeneity within the human brain.
Nature communications
2021 Sep 29
Russ, DE;Cross, RBP;Li, L;Koch, SC;Matson, KJE;Yadav, A;Alkaslasi, MR;Lee, DI;Le Pichon, CE;Menon, V;Levine, AJ;
PMID: 34588430 | DOI: 10.1038/s41467-021-25125-1
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 |
Complete one of the three forms below and we will get back to you.
For Quote Requests, please provide more details in the Contact Sales form below
Our new headquarters office starting May 2016:
7707 Gateway Blvd.
Newark, CA 94560
Toll Free: 1 (877) 576-3636
Phone: (510) 576-8800
Fax: (510) 576-8798
19 Barton Lane
Abingdon Science Park
Abingdon
OX14 3NB
United Kingdom
Phone 2: +44 1235 529449
Fax: +44 1235 533420
20F, Tower 3,
Raffles City Changning Office,
1193 Changning Road, Shanghai 200051
021-52293200
info.cn@bio-techne.com
Web: www.acdbio.com/cn
For general information: Info.ACD@bio-techne.com
For place an order: order.ACD@bio-techne.com
For product support: support.ACD@bio-techne.com
For career opportunities: hr.ACD@bio-techne.com