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.
Brain, behavior, and immunity
2022 Jan 18
Lehmann, ML;Samuels, JD;Kigar, SL;Poffenberger, CN;Lotstein, ML;Herkenham, M;
PMID: 35063606 | DOI: 10.1016/j.bbi.2022.01.011
Brain Struct Funct.
2017 Nov 16
Mazaré N, Gilbert A, Boulay AC, Rouach N, Cohen-Salmon M.
PMID: 29143947 | DOI: 10.1007/s00429-017-1562-4
Pericytes are mural cells of blood microvessels which play a crucial role at the neurovascular interface of the central nervous system. They are involved in the regulation of blood-brain barrier integrity, angiogenesis, clearance of toxic metabolites, capillary hemodynamic responses, and neuroinflammation, and they demonstrate stem cell activity. Morphological and molecular studies to characterize brain pericytes recently pointed out some heterogeneity in pericyte population. Nevertheless, a clear definition of pericyte subtypes is still lacking. Here, we demonstrate that a fraction of brain pericytes express Connexin 30 (Cx30), a gap junction protein, which, in the brain parenchyma, was thought to be exclusively found in astrocytes. Cx30 could thus be a candidate protein in the composition of the gap junction channels already described between endothelial cells and pericytes. It could also form hemichannels or acts in a channel-independent manner to regulate pericyte morphology, as already observed in astrocytes. Altogether, our results suggest that Cx30 defines a novel brain pericyte subtype.
STAR protocols
2022 Jun 17
Nilsson, OR;Kari, L;Rosenke, R;Steele-Mortimer, O;
PMID: 35345596 | DOI: 10.1016/j.xpro.2022.101256
Nature (2015)
Wang B, Zhao L, Fish M, Logan CY, Nusse R.
PMID: 26245375 | DOI: 10.1038/nature14863
J Cell Biochem.
2016 May 18
Anderson CM, Zhang B, Miller M, Butko E, Wu X, Laver T, Kernag C, Kim J, Luo Y, Lamparski H, Park E, Su N, Ma XJ.
PMID: 27191821 | DOI: 10.1002/jcb.25606.
Biomarkers such as DNA, RNA, and protein are powerful tools in clinical diagnostics and therapeutic development for many diseases. Identifying RNA expression at the single cell level within the morphological context by RNA in situ hybridization provides a great deal of information on gene expression changes over conventional techniques that analyze bulk tissue, yet widespread use of this technique in the clinical setting has been hampered by the dearth of automated RNA ISH assays. Here we present an automated version of the RNA ISH technology RNAscope that is adaptable to multiple automation platforms. The automated RNAscope assay yields a high signal-to-noise ratio with little to no background staining and results comparable to the manual assay. In addition, the automated duplex RNAscope assay was able to detect two biomarkers simultaneously. Lastly, assay consistency and reproducibility were confirmed by quantification of TATA-box binding protein (TBP) mRNA signals across multiple lots and multiple experiments. Taken together, the data presented in this study demonstrate that the automated RNAscope technology is a high performance RNA ISH assay with broad applicability in biomarker research and diagnostic assay development.
Nat Neurosci.
2017 Dec 11
Hrvatin S, Hochbaum DR, Nagy MA, Cicconet M, Robertson K, Cheadle L, Zilionis R, Ratner A, Borges-Monroy R, Klein AM, Sabatini BL, Greenberg ME.
PMID: 29230054 | DOI: 10.1038/s41593-017-0029-5
Activity-dependent transcriptional responses shape cortical function. However, a comprehensive understanding of the diversity of these responses across the full range of cortical cell types, and how these changes contribute to neuronal plasticity and disease, is lacking. To investigate the breadth of transcriptional changes that occur across cell types in the mouse visual cortex after exposure to light, we applied high-throughput single-cell RNA sequencing. We identified significant and divergent transcriptional responses to stimulation in each of the 30 cell types characterized, thus revealing 611 stimulus-responsive genes. Excitatory pyramidal neurons exhibited inter- and intralaminar heterogeneity in the induction of stimulus-responsive genes. Non-neuronal cells showed clear transcriptional responses that may regulate experience-dependent changes in neurovascular coupling and myelination. Together, these results reveal the dynamic landscape of the stimulus-dependent transcriptional changes occurring across cell types in the visual cortex; these changes are probably critical for cortical function and may be sites of deregulation in developmental brain disorders.
Stem Cells.
2018 Jan 17
Kalha S, Shrestha B, Sanz Navarro M, Jones KB, Klein OD, Michon F.
PMID: 29282831 | DOI: 10.1002/stem.2767
The outermost layer of the eye, the cornea, is renewed continuously throughout life. Stem cells of the corneal epithelium reside in the limbus at the corneal periphery and ensure homeostasis of the central epithelium. However, in young mice, homeostasis relies on cells located in the basal layer of the central corneal epithelium. Here, we first studied corneal growth during the transition from newborn to adult and assessed Keratin 19 (Krt19) expression as a hallmark of corneal maturation. Next, we set out to identify a novel marker of murine corneal epithelial progenitor cells before, during and after maturation, and we found that Bmi1 is expressed in the basal epithelium of the central cornea and limbus. Furthermore, we demonstrated that Bmi1+ cells participated in tissue replenishment in the central cornea. These Bmi1+ cells did not maintain homeostasis of the cornea for more than 3 months, reflecting their status as progenitor rather than stem cells. Finally, after injury, Bmi1+ cells fueled homeostatic maintenance, whereas wound closure occurred via epithelial reorganization.
bioRxiv : the preprint server for biology
2023 Feb 04
Payne, LB;Abdelazim, H;Hoque, M;Barnes, A;Mironovova, Z;Willi, CE;Darden, J;Jenkins-Houk, C;Sedovy, MW;Johnstone, SR;Chappell, JC;
PMID: 36778261 | DOI: 10.1101/2023.02.03.527005
Nat. Commun.
2018 Mar 28
Sehgal A, Donaldson DS, Pridans C, Sauter KA, Hume DA, Mabbott NA.
PMID: 29593242 | DOI: 10.1038/s41467-018-03638-6
Colony-stimulating factor 1 (CSF1) controls the growth and differentiation of macrophages.CSF1R signaling has been implicated in the maintenance of the intestinal stem cell niche and differentiation of Paneth cells, but evidence of expression of CSF1R within the crypt is equivocal. Here we show that CSF1R-dependent macrophages influence intestinal epithelial differentiation and homeostasis. In the intestinallamina propria CSF1R mRNA expression is restricted to macrophages which are intimately associated with the crypt epithelium, and is undetectable in Paneth cells. Macrophage ablation following CSF1R blockade affects Paneth cell differentiation and leads to a reduction of Lgr5+ intestinal stem cells. The disturbances to the crypt caused by macrophage depletion adversely affect the subsequent differentiation of intestinal epithelial cell lineages. Goblet cell density is enhanced, whereas the development of M cells in Peyer's patches is impeded. We suggest that modification of the phenotype or abundance of macrophages in the gut wall alters the development of the intestinal epithelium and the ability to sample gut antigens.
Cell reports
2023 Feb 14
Simonson, B;Chaffin, M;Hill, MC;Atwa, O;Guedira, Y;Bhasin, H;Hall, AW;Hayat, S;Baumgart, S;Bedi, KC;Margulies, KB;Klattenhoff, CA;Ellinor, PT;
PMID: 36790929 | DOI: 10.1016/j.celrep.2023.112086
Neuron
2022 Nov 10
Khan, M;Clijsters, M;Choi, S;Backaert, W;Claerhout, M;Couvreur, F;Van Breda, L;Bourgeois, F;Speleman, K;Klein, S;Van Laethem, J;Verstappen, G;Dereli, AS;Yoo, SJ;Zhou, H;Dan Do, TN;Jochmans, D;Laenen, L;Debaveye, Y;De Munter, P;Gunst, J;Jorissen, M;Lagrou, K;Meersseman, P;Neyts, J;Thal, DR;Topsakal, V;Vandenbriele, C;Wauters, J;Mombaerts, P;Van Gerven, L;
PMID: 36446381 | DOI: 10.1016/j.neuron.2022.11.007
Cell reports
2021 Dec 28
Lee, SH;Rezzonico, MG;Friedman, BA;Huntley, MH;Meilandt, WJ;Pandey, S;Chen, YJ;Easton, A;Modrusan, Z;Hansen, DV;Sheng, M;Bohlen, CJ;
PMID: 34965428 | DOI: 10.1016/j.celrep.2021.110158
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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