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.
Nature metabolism
2021 May 01
Mills, EL;Harmon, C;Jedrychowski, MP;Xiao, H;Garrity, R;Tran, NV;Bradshaw, GA;Fu, A;Szpyt, J;Reddy, A;Prendeville, H;Danial, NN;Gygi, SP;Lynch, L;Chouchani, ET;
PMID: 34002097 | DOI: 10.1038/s42255-021-00389-5
Cellular and molecular gastroenterology and hepatology
2022 Jan 21
Douchi, D;Yamamura, A;Matsuo, J;Lee, JW;Nuttonmanit, N;Melissa Lim, YH;Suda, K;Shimura, M;Chen, S;Pang, S;Kohu, K;Kaneko, M;Kiyonari, H;Kaneda, A;Yoshida, H;Taniuchi, I;Osato, M;Yang, H;Unno, M;Bok-Yan So, J;Yeoh, KG;Huey Chuang, LS;Bae, SC;Ito, Y;
PMID: 35074568 | DOI: 10.1016/j.jcmgh.2022.01.010
International journal of molecular sciences
2022 Jan 13
Capellero, S;Erriquez, J;Battistini, C;Porporato, R;Scotto, G;Borella, F;Di Renzo, MF;Valabrega, G;Olivero, M;
PMID: 35055018 | DOI: 10.3390/ijms23020833
Scientific reports
2022 Mar 30
Minatoguchi, S;Saito, S;Furuhashi, K;Sawa, Y;Okazaki, M;Shimamura, Y;Kaihan, AB;Hashimoto, Y;Yasuda, Y;Hara, A;Mizutani, Y;Ando, R;Kato, N;Ishimoto, T;Tsuboi, N;Esaki, N;Matsuyama, M;Shiraki, Y;Kobayashi, H;Asai, N;Enomoto, A;Maruyama, S;
PMID: 35354870 | DOI: 10.1038/s41598-022-09331-5
Basic Res Cardiol.
2018 Jun 04
Mouton AJ, DeLeon-Pennell KY, Rivera Gonzalez OJ, Flynn ER, Freeman TC, Saucerman JJ, Garrett MR, Ma Y, Harmancey R, Lindsey ML.
PMID: 29868933 | DOI: 10.1007/s00395-018-0686-x
In response to myocardial infarction (MI), cardiac macrophages regulate inflammation and scar formation. We hypothesized that macrophages undergo polarization state changes over the MI time course and assessed macrophage polarization transcriptomic signatures over the first week of MI. C57BL/6 J male mice (3-6 months old) were subjected to permanent coronary artery ligation to induce MI, and macrophages were isolated from the infarct region at days 1, 3, and 7 post-MI. Day 0, no MI resident cardiac macrophages served as the negative MI control. Whole transcriptome analysis was performed using RNA-sequencing on n = 4 pooled sets for each time. Day 1 macrophages displayed a unique pro-inflammatory, extracellular matrix (ECM)-degrading signature. By flow cytometry, day 0 macrophages were largely F4/80highLy6Clow resident macrophages, whereas day 1 macrophages were largely F4/80lowLy6Chigh infiltrating monocytes. Day 3 macrophages exhibited increased proliferation and phagocytosis, and expression of genes related to mitochondrial function and oxidative phosphorylation, indicative of metabolic reprogramming. Day 7 macrophages displayed a pro-reparative signature enriched for genes involved in ECM remodeling and scar formation. By triple in situ hybridization, day 7 infarct macrophages in vivo expressed collagen I and periostin mRNA. Our results indicate macrophages show distinct gene expression profiles over the first week of MI, with metabolic reprogramming important for polarization. In addition to serving as indirect mediators of ECM remodeling, macrophages are a direct source of ECM components. Our study is the first to report the detailed changes in the macrophage transcriptome over the first week of MI.
Am J Respir Crit Care Med.
2019 Apr 09
Savary G, Dewaeles E, Diazzi S, Buscot M, Nottet N, Fassy J, Courcot E, Henaoui IS, Lemaire J, Martis N, Van der Hauwaert C, Pons N, Magnone V, Leroy S, Hofman V, Plantier L, Lebrigand K, Paquet A, Lino Cardenas CL, Vassaux G, Hofman P, Günther A, Crestani B, Wallaert B, Rezzonico R, Brousseau T, Glowacki F, Bellusci S, Perrais M, Broly F, Barbry P, Marquette CH, Cauffiez C, Mari B, Pottier N.
PMID: 30964696 | DOI: 10.1164/rccm.201807-1237OC
Abstract
RATIONALE:
Given the paucity of effective treatments for Idiopathic Pulmonary Fibrosis (IPF), new insights into the deleterious mechanisms controlling lung fibroblast activation, the key cell type driving the fibrogenic process, are essential to develop new therapeutic strategies. Transforming growth factor β (TGF-β) is the main pro-fibrotic factor, but its inhibition is associated with severe side effects due to its pleiotropic role.
OBJECTIVES:
We hypothesized that downstream non-coding effectors of TGF-β in fibroblasts may represent new effective therapeutic targets whose modulation may be well-tolerated.
METHODS:
We investigated the whole non-coding fraction of TGF-β-stimulated lung fibroblast transcriptome to identify new genomic determinants of lung fibroblast differentiation into myofibroblast. Differential expression of the long non-coding RNA DNM3OS and its associated miRNAs was validated in a murine model of pulmonary fibrosis and in IPF tissue samples. Distinct and complementary antisense oligonucleotide-based strategies aiming at interfering with DNM3OS were used to elucidate the role of DNM3OS and its associated miRNAs in IPF pathogenesis.
MEASUREMENTS AND MAIN RESULTS:
We identified DNM3OS as a fibroblast-specific critical downstream effector of TGF-β-induced lung myofibroblast activation. Mechanistically, DNM3OS regulates this process in trans by giving rise to three distinct profibrotic mature miRNAs (i.e. miR-199a-5p/3p and miR-214-3p), which influence both SMAD and non-SMAD components of TGF-β signaling in a multifaceted way. In vivo, we showed that interfering with DNM3OS function not only prevents lung fibrosis but also improves established pulmonary fibrosis.
CONCLUSION:
Pharmacological approaches aiming at interfering with DNM3OS may represent new effective therapeutic strategies in IPF.
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
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
International journal of gynecological pathology : official journal of the International Society of Gynecological Pathologists
2022 Aug 31
Stolnicu, S;Hoang, L;Zhou, Q;Iasonos, A;Terinte, C;Pesci, A;Aviel-Ronen, S;Kiyokawa, T;Alvarado-Cabrero, I;Oliva, E;Park, KJ;Soslow, RA;
PMID: 36044310 | DOI: 10.1097/PGP.0000000000000921
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.
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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