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.
Biological Psychiatry
2016 Feb 26
Xiea Z, Lib J, Bakerc J, Eaglesond KL, Cobab MP, Levitt P.
PMID: - | DOI: 10.1016/j.biopsych.2016.02.022
Atypical synapse development and plasticity are implicated in many neurodevelopmental disorders (NDDs). NDD-associated, high confidence risk genes have been identified, yet little is known about functional relationships at the level of protein-protein interactions, which are the dominant molecular bases responsible for mediating circuit development.
Proteomics in three independent developing neocortical synaptosomal preparations identified putative interacting proteins of the ligand-activated MET receptor tyrosine kinase, an autism risk gene that mediates synapse development. The candidates were translated into interactome networks and analyzed bioinformatically. Additionally, three independent quantitative proximity ligation assays (PLA) in cultured neurons and four independent immunoprecipitation analyses of synaptosomes validated protein interactions.
Approximately 11% (8/72) of MET-interacting proteins, including SHANK3, SYNGAP1 and GRIN2B, are associated with NDDs. Proteins in the MET interactome were translated into a novel MET interactome network based on human protein-protein interaction databases. High confidence genes from different NDD datasets that encode synaptosomal proteins were analyzed for being enriched in MET interactome proteins. This was found for autism, but not schizophrenia, bipolar disorder, major depressive disorder or attentional deficit hyperactivity disorder. There is correlated gene expression between MET and its interactive partners in developing human temporal and visual neocortices, but not with highly expressed genes that are not in the interactome. PLA and biochemical analyses demonstrate that MET-protein partner interactions are dynamically regulated by receptor activation.
The results provide a novel molecular framework for deciphering the functional relations of key regulators of synaptogenesis that contribute to both typical cortical development and to NDDs.
J Clin Invest.
2018 Jul 12
Wang C, Reyes de Mochel NS, Christenson SA, Cassandras M, Moon R, Brumwell AN, Byrnes LE, Li A, Yokosaki Y, Shan P, Sneddon JB, Jablons D, Lee PJ, Matthay MA, Chapman HA, Peng T.
PMID: 29999500 | DOI: 10.1172/JCI99435
Genome-wide association studies have repeatedly mapped susceptibility loci for emphysema to genes that modify hedgehog signaling, but the functional relevance of hedgehog signaling to this morbid disease remains unclear. In the current study, we identified a broad population of mesenchymal cells in the adult murine lung receptive to hedgehog signaling, characterized by higher activation of hedgehog surrounding the proximal airway relative to the distal alveoli. Single cell RNA-sequencing showed that the hedgehog-receptive mesenchyme is composed of mostly fibroblasts with distinct proximal and distal subsets with discrete identities. Ectopic hedgehog activation in the distal fibroblasts promoted expression of proximal fibroblast markers, and promoted loss of distal alveoli and airspace enlargement of over twenty percent compared to controls. We found that hedgehog suppressed mesenchymal-derived mitogens enriched in distal fibroblasts that regulate alveolar stem cell regeneration and airspace size. Finally, single cell analysis of the human lung mesenchyme showed that segregated proximal-distal identity with preferential hedgehog activation in the proximal fibroblasts is conserved between mice and humans. In conclusion, we showed that differential hedgehog activation segregates mesenchymal identities of distinct fibroblast subsets, and disruption of fibroblast identity can alter the alveolar stem cell niche leading to emphysematous changes in the murine lung.
Nature communications
2022 Nov 14
Kaucka, M;Joven Araus, A;Tesarova, M;Currie, JD;Boström, J;Kavkova, M;Petersen, J;Yao, Z;Bouchnita, A;Hellander, A;Zikmund, T;Elewa, A;Newton, PT;Fei, JF;Chagin, AS;Fried, K;Tanaka, EM;Kaiser, J;Simon, A;Adameyko, I;
PMID: 36376278 | DOI: 10.1038/s41467-022-34266-w
Stem cell reports
2022 Feb 22
Uehara, K;Koyanagi-Aoi, M;Koide, T;Itoh, T;Aoi, T;
PMID: 35245440 | DOI: 10.1016/j.stemcr.2022.02.002
Biotech Histochem.
2017 Aug 24
Schmid E, Klotz M, Steiner-Hahn K, Konen T, Frisk AL, Schatz C, Krahn T, von Ahsen O.
PMID: 28836864 | DOI: 10.1080/10520295.2017.1339913
Determination of predictive biomarkers by immunohistochemistry (IHC) relies on antibodies with high selectivity. RNA in situ hybridization (RNA ISH) may be used to confirm IHC and may potentially replace it if suitable antibodies are not available or are insufficiently selective to discriminate closely related protein isoforms. We validated RNA ISH as specificity control for IHC and as a potential alternative method for selecting patients for treatment with MET inhibitors. MET, the HGF receptor, is encoded by the MET proto-oncogene that may be activated by mutation or amplification. MET expression and activity were tested in a panel of control cell lines. MET could be detected in formalin fixed paraffin, embedded (FFPE) samples by IHC and RNA ISH, and this was confirmed by sandwich immunoassays of fresh frozen samples. Gastric cancer cell lines with high MET expression and phosphorylation of tyrosine-1349 respond to the MET inhibitor, BAY-853474. High expression and phosphorylation of MET is a predictive biomarker for response to MET inhibitors. We then analyzed MET expression and activity in a matched set of FFPE vs. fresh frozen tumor samples consisting of 20 cases of gastric cancer. Two of 20 clinical samples investigated exhibited high MET expression with RNA ISH and IHC. Both cases were shown by sandwich immunoassays to exhibits strong functional activity. Expression levels and functional activity in these two cases were in a range that predicted response to treatment. Our findings indicate that owing to its high selectivity, RNA ISH can be used to confirm findings obtained by IHC and potentially may replace IHC for certain targets if no suitable antibodies are available. RNA ISH is a valid platform for testing predictive biomarkers for patient selection.
Genome medicine
2022 Sep 09
Hinze, C;Kocks, C;Leiz, J;Karaiskos, N;Boltengagen, A;Cao, S;Skopnik, CM;Klocke, J;Hardenberg, JH;Stockmann, H;Gotthardt, I;Obermayer, B;Haghverdi, L;Wyler, E;Landthaler, M;Bachmann, S;Hocke, AC;Corman, V;Busch, J;Schneider, W;Himmerkus, N;Bleich, M;Eckardt, KU;Enghard, P;Rajewsky, N;Schmidt-Ott, KM;
PMID: 36085050 | DOI: 10.1186/s13073-022-01108-9
Nature
2021 Jun 01
Morita, R;Sanzen, N;Sasaki, H;Hayashi, T;Umeda, M;Yoshimura, M;Yamamoto, T;Shibata, T;Abe, T;Kiyonari, H;Furuta, Y;Nikaido, I;Fujiwara, H;
PMID: 34108685 | DOI: 10.1038/s41586-021-03638-5
Proc Natl Acad Sci U S A. 2018 Dec 12.
2018 Dec 12
Mathieu M, Drelon C, Rodriguez S, Tabbal H, Septier A, Damon-Soubeyrand C, Dumontet T, Berthon A, Sahut-Barnola I, Djari C, Batisse-Lignier M, Pointud JC, Richard D, Kerdivel G, Calméjane MA, Boeva V, Tauveron I, Lefrançois-Martinez AM, Martinez A, Val P.
PMID: 30541888 | DOI: 10.1073/pnas.1809185115
EMBO Mol Med.
2019 Feb 18
Zhou H, Lian C, Wang T, Yang X, Xu C, Su D, Zheng S, Huang X, Liao Z, Zhou T, Qiu X, Chen Y, Gao B, Li Y, Wang X, You G, Fu Q, Gurnett C, Huang D, Su P.
PMID: 30777867 | DOI: 10.15252/emmm.201809709
Arthrogryposis is a group of phenotypically and genetically heterogeneous disorders characterized by congenital contractures of two or more parts of the body; the pathogenesis and the causative genes of arthrogryposis remain undetermined. We examined a four-generation arthrogryposis pedigree characterized by camptodactyly, limited forearm supination, and loss of myofibers in the forearms and hands. By using whole-exome sequencing, we confirmed MET p.Y1234C mutation to be responsible for arthrogryposis in this pedigree. MET p.Y1234C mutation caused the failure of activation of MET tyrosine kinase. A Met p.Y1232C mutant mouse model was established. The phenotypes of homozygous mice included embryonic lethality and complete loss of muscles that originated from migratory precursors. Heterozygous mice were born alive and showed reduction of the number of myofibers in both appendicular and axial muscles. Defective migration of muscle progenitor cells and impaired proliferation of secondary myoblasts were proven to be responsible for the skeletal muscle dysplasia of mutant mice. Overall, our study shows MET to be a causative gene of arthrogryposis and MET mutation could cause skeletal muscle dysplasia in human beings.
Cell reports methods
2022 Oct 24
Ali Marandi Ghoddousi, R;Magalong, VM;Kamitakahara, AK;Levitt, P;
PMID: 36313803 | DOI: 10.1016/j.crmeth.2022.100316
PLoS Genet.
2016 Jul 14
Perdigoto CN, Dauber KL, Bar C, Tsai PC, Valdes VJ, Cohen I, Santoriello FJ, Zhao D, Zheng D, Hsu YC, Ezhkova E.
PMID: 27414999 | DOI: 10.1371/journal.pgen.1006151.
An increasing amount of evidence indicates that developmental programs are tightly regulated by the complex interplay between signalingpathways, as well as transcriptional and epigenetic processes. Here, we have uncovered coordination between transcriptional and morphogen cues to specify Merkel cells, poorly understood skin cells that mediate light touch sensations. In murine dorsal skin, Merkel cells are part of touch domes, which are skin structures consisting of specialized keratinocytes, Merkel cells, and afferent neurons, and are located exclusively around primary hair follicles. We show that the developing primary hair follicle functions as a niche required for Merkel cell specification. We find that intraepidermal Sonic hedgehog (Shh) signaling, initiated by the production of Shh ligand in the developing hair follicles, is required forMerkel cell specification. The importance of Shh for Merkel cell formation is further reinforced by the fact that Shh overexpression in embryonic epidermal progenitors leads to ectopic Merkel cells. Interestingly, Shh signaling is common to primary, secondary, and tertiary hair follicles, raising the possibility that there are restrictive mechanisms that regulate Merkel cell specification exclusively around primary hair follicles. Indeed, we find that loss of Polycomb repressive complex 2 (PRC2) in the epidermis results in the formation of ectopic Merkel cells that are associated with all hair types. We show that PRC2 loss expands the field of epidermal cells competent to differentiate into Merkel cells through the upregulation of key Merkel-differentiation genes, which are known PRC2 targets. Importantly, PRC2-mediated repression of the Merkel celldifferentiation program requires inductive Shh signaling to form mature Merkel cells. Our study exemplifies how the interplay between epigenetic and morphogen cues regulates the complex patterning and formation of the mammalian skin structures.
Molecular and Cellular Biology/Genetics
2021 Jul 01
Wang, L;Tondnevis, F;Todorov, C;Gaspar, J;Sahajan, A;Murlidhar, V;Zhang, B;Ma, X;
| DOI: 10.1158/1538-7445.am2021-lb190
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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