ACD can configure probes for the various manual and automated assays for CD34 for RNAscope Assay, or for Basescope Assay compatible for your species of interest.
RSC Advances
2021 Aug 17
Kim, H;Choi, E;Choi, E;Kim, H;Kim, J;Cho, G;Kim, H;Na, S;Shin, J;Do, S;Park, B;
| DOI: 10.1039/d1ra04625j
Veterinary pathology
2021 Dec 27
Rodríguez, JMM;Fonfara, S;Hetzel, U;Kipar, A;
PMID: 34955067 | DOI: 10.1177/03009858211062631
Journal of Vascular Surgery
2017 Apr 20
Kasashima S, Kawashima A, Zen Y, Ozaki S, Kasashima F, Endo M, Matsumoto Y, Kawakami K.
PMID: 28434701 | DOI: 10.1016/j.jvs.2016.12.140
Cell Syst.
2016 Sep 14
Joost S, Zeisel A, Jacob T, Sun X, La Manno G, Lönnerberg P, Linnarsson S, Kasper M.
PMID: 27641957 | DOI: 10.1016/j.cels.2016.08.010
The murine epidermis with its hair follicles represents an invaluable model system for tissue regeneration and stem cell research. Here we used single-cell RNA-sequencing to reveal how cellular heterogeneity of murine telogen epidermis is tuned at the transcriptional level. Unbiased clustering of 1,422 single-cell transcriptomes revealed 25 distinct populations of interfollicular and follicular epidermal cells. Our data allowed the reconstruction of gene expression programs during epidermal differentiation and along the proximal-distal axis of the hair follicle at unprecedented resolution. Moreover, transcriptional heterogeneity of the epidermis can essentially be explained along these two axes, and we show that heterogeneity in stem cell compartments generally reflects this model: stem cell populations are segregated by spatial signatures but share a common basal-epidermal gene module. This study provides an unbiased and systematic view of transcriptional organization of adult epidermis and highlights how cellular heterogeneity can be orchestrated in vivo to assure tissue homeostasis.
Cell Stem Cell. 2018 Dec 11.
2018 Dec 11
Kitadate Y, Jörg DJ, Tokue M, Maruyama A, Ichikawa R, Tsuchiya S, Segi-Nishida E, Nakagawa T, Uchida A, Kimura-Yoshida C, Mizuno S, Sugiyama F, Azami T, Ema M, Noda C, Kobayashi S, Matsuo I, Kanai Y, Nagasawa T, Sugimoto Y, Takahashi S, Simons BD, Yoshida S.
PMID: 30581080 | DOI: 10.1016/j.stem.2018.11.013
Cell Rep.
2019 Mar 12
Veerman K, Tardiveau C, Martins F, Coudert J, Girard JP.
PMID: 30865898 | DOI: 10.1016/j.celrep.2019.02.042
High-endothelial venules (HEVs) are specialized blood vessels allowing recirculation of naive lymphocytes through lymphoid organs. Here, using full-length, single-cell RNA sequencing, RNA fluorescence in situ hybridization (FISH), flow cytometry, and immunohistofluorescence, we reveal the heterogeneity of HEVs in adult mouse peripheral lymph nodes (PLNs) under conditions of homeostasis, antigenic stimulation, and after inhibition of lymphotoxin-β receptor (LTβR) signaling. We demonstrate that HEV endothelial cells are in an activated state during homeostasis, and we identify the genes characteristic of the differentiated HEV phenotype. We show that LTβR signaling regulates many HEV genes and pathways in resting PLNs and that immune stimulation induces a global and temporary inflammatory phenotype in HEVs without compromising their ability to recruit naive lymphocytes. Most importantly, we uncover differences in the regulation of genes controlling lymphocyte trafficking, Glycam1, Fut7, Gcnt1, Chst4, B3gnt3, and Ccl21a, that have implications for HEV function and regulation in health and disease.
Nature communications
2022 Nov 24
Pezoldt, J;Wiechers, C;Zou, M;Litovchenko, M;Biocanin, M;Beckstette, M;Sitnik, K;Palatella, M;van Mierlo, G;Chen, W;Gardeux, V;Floess, S;Ebel, M;Russeil, J;Arampatzi, P;Vafardanejad, E;Saliba, AE;Deplancke, B;Huehn, J;
PMID: 36433946 | DOI: 10.1038/s41467-022-34868-4
Communications biology
2022 Nov 19
An, SY;Kim, HS;Kim, SY;Van, SY;Kim, HJ;Lee, JH;Han, SW;Kwon, IK;Lee, CK;Do, SH;Hwang, YS;
PMID: 36402892 | DOI: 10.1038/s42003-022-04232-9
GeroScience
2022 Sep 22
Ruggiero, AD;Davis, MA;Davis, AT;DeStephanis, D;Williams, AG;Vemuri, R;Fanning, KM;Sherrill, C;Cline, JM;Caudell, DL;Kavanagh, K;
PMID: 36136223 | DOI: 10.1007/s11357-022-00660-x
Placenta
2016 Mar 30
Wua HH, Choia S, Levitt P.
PMID: - | DOI: 10.1016/j.placenta.2016.03.013
Serotonin (5-HT) is an important neuromodulator, but recently has been shown to be involved in neurodevelopment. Although previous studies have demonstrated that the placenta is a major source of forebrain 5-HT during early forebrain development, the processes of how 5-HT production, metabolism, and transport from placenta to fetus are regulated are unknown. As an initial step in determining the mechanisms involved, we investigated the expression patterns of genes critical for 5-HT system function in mouse extraembryonic tissues.
Mid-through late gestation expression of 5-HT system-related enzymes, Tph1, Ddc,Maoa, and 5-HT transporters, Sert/Slc6a4, Oct3/Slc22a3, Vmat2/Slc18a2, and 5-HT in placenta and yolk sac were examined, with cell type-specific resolution, using multiplex fluorescent in situ hybridization to co-localize transcripts and immunocytochemistry to co-localize the corresponding proteins and neurotransmitter.
Tph1 and Ddc are found in the syncytiotrophoblast I (SynT-I) and sinusoidal trophoblast giant cells (S-TGC), whereas Maoa is expressed in SynT-I, syncytiotrophoblast II (SynT-II) and S-TGC. Oct3 expression is observed in the SynT-II only, while Vmat2 is mainly expressed in S-TGC. Surprisingly, there were comparatively high expression of Tph1,Ddc, and Maoa in the yolk sac visceral endoderm.
In addition to trophoblast cells, visceral endoderm cells in the yolk sac may contribute to fetal 5-HT production. The findings raise the possibility of a more complex regulation of 5-HT access to the fetus through the differential roles of trophoblasts that surround maternal and fetal blood space and of yolk sac endoderm prior to normal degeneration.
Cytometry A.
2017 Nov 30
Mavropoulos A, Allo B, He M, Park E, Majonis D, Ornatsky O.
PMID: 29194963 | DOI: 10.1002/cyto.a.23281
Mass cytometry uniquely enables high-dimensional single-cell analysis of complex populations. This recently developed technology is based on inductively coupled time-of-flight mass spectrometry for multiplex proteomic analysis of more than 40 markers per cell. The ability to characterize the transcriptome is critical for the understanding of disease pathophysiology, medical diagnostics, and drug discovery. Current techniques allowing the in situ detection of transcripts in single cells are limited to a small number of simultaneous targets and are generally tedious and labor-intensive. In this report, we present the development of a multiplex method for targeted RNA detection by combining the mass cytometry and RNAscope™ platforms. This novel assay, called Metal In Situ Hybridization (MISH), includes the hybridization of RNA-specific target probes followed by signal amplification achieved through a cascade of hybridization events, ending with the binding of amplifier-specific detector probes. The detector probes are tagged with isotopically pure metal atoms used for detection by mass cytometry. Proof-of-principle experiments show the simultaneous detection of three mRNA targets in Jurkat cells in suspension cell assay mode. The localization of transcripts was also investigated using the imaging mass cytometry platform in Jurkat and KG-1a cells. In addition, we optimized the antibody staining procedure to allow the co-detection of mRNA and cell surface markers. Our data demonstrate that MISH can be used to complement protein detection by mass cytometry as well as to investigate gene transcription and translation in single cells.
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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