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.
Cell Stem Cell.
2019 Mar 26
Wei X, Zhang L, Zhou Z, Kwon OJ, Zhang Y, Nguyen H, Dumpit R, True L, Nelson P, Dong B, Xue W, Birchmeier W, Taketo MM, Xu F, Creighton CJ, Ittmann MM, Xin L.
PMID: 30982770 | DOI: 10.1016/j.stem.2019.03.010
Cell-autonomous Wnt signaling has well-characterized functions in controlling stem cell activity, including in the prostate. While niche cells secrete Wnt ligands, the effects of Wnt signaling in niche cells per se are less understood. Here, we show that stromal cells in the proximal prostatic duct near the urethra, a mouse prostate stem cell niche, not only produce multiple Wnt ligands but also exhibit strong Wnt/β-catenin activity. The non-canonical Wnt ligand Wnt5a, secreted by proximal stromal cells, directly inhibits proliefration of prostate epithelial stem or progenitor cells whereas stromal cell-autonomous canonical Wnt/β-catenin signaling indirectly suppresses prostate stem or progenitor activity via the transforming growth factor β (TGFβ) pathway. Collectively, these pathways restrain the proliferative potential of epithelial cells in the proximal prostatic ducts. Human prostate likewise exhibits spatially restricted distribution of stromal Wnt/β-catenin activity, suggesting a conserved mechanism for tissue patterning. Thus, this study shows how distinct stromal signaling mechanisms within the prostate cooperate to regulate tissue homeostasis.
Thrombosis and haemostasis
2022 Dec 03
Ye, M;Ni, Q;Wang, H;Wang, Y;Yao, Y;Li, Y;Wang, W;Yang, S;Chen, J;Lv, L;Zhao, Y;Xue, G;Guo, X;Zhang, L;
PMID: 36462769 | DOI: 10.1055/s-0042-1757875
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
J Am Soc Nephrol.
2018 Sep 10
Chan SC, Zhang Y, Shao A, Avdulov S, Herrera J, Aboudehen K, Pontoglio M, Igarashi P.
PMID: 30097458 | DOI: 10.1681/ASN.2018040437
Abstract
BACKGROUND:
Mutation of HNF1B, the gene encoding transcription factor HNF-1β, is one cause of autosomal dominant tubulointerstitial kidney disease, a syndrome characterized by tubular cysts, renal fibrosis, and progressive decline in renal function. HNF-1β has also been implicated in epithelial-mesenchymal transition (EMT) pathways, and sustained EMT is associated with tissue fibrosis. The mechanism whereby mutated HNF1B leads to tubulointerstitial fibrosis is not known.
METHODS:
To explore the mechanism of fibrosis, we created HNF-1β-deficient mIMCD3 renal epithelial cells, used RNA-sequencing analysis to reveal differentially expressed genes in wild-type and HNF-1β-deficient mIMCD3 cells, and performed cell lineage analysis in HNF-1β mutant mice.
RESULTS:
The HNF-1β-deficient cells exhibited properties characteristic of mesenchymal cells such as fibroblasts, including spindle-shaped morphology, loss of contact inhibition, and increased cell migration. These cells also showed upregulation of fibrosis and EMT pathways, including upregulation of Twist2, Snail1, Snail2, and Zeb2, which are key EMT transcription factors. Mechanistically, HNF-1β directly represses Twist2, and ablation of Twist2 partially rescued the fibroblastic phenotype of HNF-1β mutant cells. Kidneys from HNF-1β mutant mice showed increased expression of Twist2 and its downstream target Snai2. Cell lineage analysis indicated that HNF-1β mutant epithelial cells do not transdifferentiate into kidney myofibroblasts. Rather, HNF-1β mutant epithelial cells secrete high levels of TGF-β ligands that activate downstream Smad transcription factors in renal interstitial cells.
CONCLUSIONS:
Ablation of HNF-1β in renal epithelial cells leads to the activation of a Twist2-dependent transcriptional network that induces EMT and aberrant TGF-β signaling, resulting in renal fibrosis through a cell-nonautonomous mechanism.
ACR open rheumatology
2021 May 01
Jones, K;Angelozzi, M;Gangishetti, U;Haseeb, A;de Charleroy, C;Lefebvre, V;Bhattaram, P;
PMID: 33931959 | DOI: 10.1002/acr2.11255
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.
Biochimica et biophysica acta. Molecular basis of disease
2022 Jun 27
Ha, S;Yang, Y;Kim, BM;Kim, J;Son, M;Kim, D;Yu, HS;Im, D;Chung, HY;Chung, KW;
PMID: 35772632 | DOI: 10.1016/j.bbadis.2022.166474
Cell Metab.
2016 Sep 09
Xin Y, Kim J, Okamoto H, Ni M, Wei Y, Adler C, Murphy AJ, Yancopoulos GD, Lin C, Gromada J.
PMID: 27667665 | DOI: 10.1016/j.cmet.2016.08.018
Pancreatic islet cells are critical for maintaining normal blood glucose levels, and their malfunction underlies diabetes development and progression. We used single-cell RNA sequencing to determine the transcriptomes of 1,492 human pancreatic α, β, δ, and PP cells from non-diabetic and type 2 diabetes organ donors. We identified cell-type-specific genes and pathways as well as 245 genes with disturbed expression in type 2 diabetes. Importantly, 92% of the genes have not previously been associated with islet cell function or growth. Comparison of gene profiles in mouse and human α and β cells revealed species-specific expression. All data are available for online browsing and download and will hopefully serve as a resource for the islet research community.
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
JBMR Plus
2022 Nov 11
Mertz, E;Makareeva, E;Mirigian, L;Leikin, S;
| DOI: 10.1002/jbm4.10701
JCI insight
2022 Jul 19
Herrera, JA;Dingle, LA;Montero Fernandez, MA;Venkateswaran, RV;Blaikley, JF;Lawless, C;Schwartz, MA;
PMID: 35852874 | DOI: 10.1172/jci.insight.156115
Nature communications
2022 Aug 20
Yerly, L;Pich-Bavastro, C;Di Domizio, J;Wyss, T;Tissot-Renaud, S;Cangkrama, M;Gilliet, M;Werner, S;Kuonen, F;
PMID: 35986012 | DOI: 10.1038/s41467-022-32670-w
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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