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.
bioRxiv : the preprint server for biology
2023 Feb 04
Anderson, T;Mo, J;Gagarin, E;Sherwood, D;Blumenkrantz, M;Mao, E;Leon, G;Chen, HJ;Tseng, KC;Fabian, P;Crump, JG;Smeeton, J;
PMID: 36778403 | DOI: 10.1101/2023.02.03.527039
Communications biology
2022 Oct 19
Lovatt, D;Tamburino, A;Krasowska-Zoladek, A;Sanoja, R;Li, L;Peterson, V;Wang, X;Uslaner, J;
PMID: 36261573 | DOI: 10.1038/s42003-022-03970-0
iScience
2023 Jul 01
Kuil, L;Kakiailatu, N;Windster, J;Bindels, E;Zink, J;van der Zee, G;Hofstra, R;Shepherd, I;Melotte, V;Alves, M;
| DOI: 10.1016/j.isci.2023.107070
Developmental cell
2022 Oct 24
Muhl, L;Mocci, G;Pietilä, R;Liu, J;He, L;Genové, G;Leptidis, S;Gustafsson, S;Buyandelger, B;Raschperger, E;Hansson, EM;Björkegren, JLM;Vanlandewijck, M;Lendahl, U;Betsholtz, C;
PMID: 36283392 | DOI: 10.1016/j.devcel.2022.09.015
Clin Cancer Res.
2017 Aug 28
Ennen M, Keime C, Gambi G, Kieny A, Coassolo S, Thibault-Carpentier C, Margerin-Schaller F, Davidson G, Vagne C, Lipsker D, Davidson I.
PMID: 28855355 | DOI: 10.1158/1078-0432.CCR-17-0010
Abstract
PURPOSE:
Understanding tumour heterogeneity is an important challenge in current cancer research. Transcription and epigenetic profiling of cultured melanoma cells have defined at least two distinct cell phenotypes characterised by distinctive gene expression signatures associated with high or low/absent expression of Microphthalmia-associated transcription factor (MITF). Nevertheless, heterogeneity of cellpopulations and gene expression in primary human tumours is much less well characterised.
EXPERIMENTAL DESIGN:
We performed single cell gene expression analyses on 472 cells isolated from needle biopsies of 5 primary human melanomas, 4 superficial spreading and one acral melanoma. The expression of MITF-high and MITF-low signature genes was assessed and compared to investigate intra and inter-tumoural heterogeneity and correlated gene expression profiles.
RESULTS:
Single cell gene expression analyses revealed varying degrees of intra and inter-tumour heterogeneity conferred by the variable expression of distinct sets of genes in different tumours. Expression of MITF partially correlated with that of its known target genes while SOX10 expression correlated best with PAX3 and ZEB2. Nevertheless, cells simultaneously expressing MITF-high and MITF-low signature genes were observed both by single cell analyses and RNAscope.
CONCLUSIONS:
Single cell analyses can be performed on limiting numbers of cells from primary human melanomas revealing their heterogeneity. While tumours comprised variable proportions of cells with the MITF-high and MITF-low gene expression signatures characteristic of melanoma cultures, primary tumours also comprised cells expressing markers of both signatures defining a novel cell state in tumours in vivo.
Mechanisms of Development
2017 Jun 17
Morrison JA, McKinney MC, Kulesa PM.
PMID: 28633909 | DOI: 10.1016/j.mod.2017.06.004
During collective cell migration individual cells display diverse behaviors that complicate our understanding of group cell decisions of direction and cohesion. In vivo gene and protein expression analyses would shed light on the underlying molecular choreography. However, this information has been limited due to difficulties to integrate single cell detection methods and the simultaneous readout of signals deep within the embryo. Here, we optimize and integrate multiplex fluorescence in situ hybridization by RNAscope, immunohistochemistry, and tissue clearing to visualize transcript and protein localization within single cells deep within intact chick embryos. Using standard confocal microscopy, we visualize the mRNA expression of up to 3 genes simultaneously within protein labeled HNK1-positive migrating cranial neural crest cells within 2day old cleared chick embryos. Gene expression differences measured between adjacent cells or within subregions are quantified using spot counting and polyline kymograph methods, respectively. This optimization and integration of methods provide an improved 3D in vivo molecular interrogation of collective cell migration and foundation to broaden into a wider range of embryo and adult model systems.
Nature.
2018 Feb 14
Vanlandewijck M, He L, Mäe MA, Andrae J, Ando K, Del Gaudio F, Nahar K, Lebouvier T, Laviña B, Gouveia L, Sun Y, Raschperger E, Räsänen M, Zarb Y, Mochizuki N, Keller A, Lendahl U, Betsholtz C.
PMID: 29443965 | DOI: 10.1038/nature25739
Cerebrovascular disease is the third most common cause of death in developed countries, but our understanding of the cells that compose the cerebral vasculature is limited. Here, using vascular single-cell transcriptomics, we provide molecular definitions for the principal types of blood vascular and vessel-associated cells in the adult mouse brain. We uncover the transcriptional basis of the gradual phenotypic change (zonation) along the arteriovenous axis and reveal unexpected cell type differences: a seamless continuum for endothelial cells versus a punctuated continuum for mural cells. We also provide insight into pericyte organotypicity and define a population of perivascular fibroblast-like cells that are present on all vessel types except capillaries. Our work illustrates the power of single-cell transcriptomics to decode the higher organizational principles of a tissue and may provide the initial chapter in a molecular encyclopaedia of the mammalian vasculature.
Developmental cell
2023 Feb 26
Goodwin, K;Lemma, B;Zhang, P;Boukind, A;Nelson, CM;
PMID: 36868232 | DOI: 10.1016/j.devcel.2023.02.002
Immunity.
2018 Nov 13
Girbl T, Lenn T, Perez L, Rolas L, Barkaway A, Thiriot A, del Fresno C, Lynam E, Hub E, Thelen M, Graham G, Alon R, Sancho D, von Andrian UH, Voisin MB, Rot A, Nourshargh S.
PMID: 30446388 | DOI: 10.1016/j.immuni.2018.09.018
Neutrophils require directional cues to navigate through the complex structure of venular walls and into inflamed tissues. Here we applied confocal intravital microscopy to analyze neutrophil emigration in cytokine-stimulated mouse cremaster muscles. We identified differential and non-redundant roles for the chemokines CXCL1 and CXCL2, governed by their distinct cellular sources. CXCL1 was produced mainly by TNF-stimulated endothelial cells (ECs) and pericytes and supported luminal and sub-EC neutrophil crawling. Conversely, neutrophils were the main producers of CXCL2, and this chemokine was critical for correct breaching of endothelial junctions. This pro-migratory activity of CXCL2 depended on the atypical chemokine receptor 1 (ACKR1), which is enriched within endothelial junctions. Transmigrating neutrophils promoted a self-guided migration response through EC junctions, creating a junctional chemokine "depot" in the form of ACKR1-presented CXCL2 that enabled efficient unidirectional luminal-to-abluminal migration. Thus, CXCL1 and CXCL2 act in a sequential manner to guide neutrophils through venular walls as governed by their distinct cellular sources.
Cell reports
2022 Jul 12
Angelozzi, M;Pellegrino da Silva, R;Gonzalez, MV;Lefebvre, V;
PMID: 35830813 | DOI: 10.1016/j.celrep.2022.111045
Nature communications
2021 Sep 06
Cui, M;Atmanli, A;Morales, MG;Tan, W;Chen, K;Xiao, X;Xu, L;Liu, N;Bassel-Duby, R;Olson, EN;
PMID: 34489413 | DOI: 10.1038/s41467-021-25653-w
Scientific reports
2022 Mar 22
Gutierrez, G;Sun, P;Han, Y;Dai, X;
PMID: 35318370 | DOI: 10.1038/s41598-022-08870-1
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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