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.
PLoS pathogens
2021 Apr 01
Tong, O;Duette, G;O'Neil, TR;Royle, CM;Rana, H;Johnson, B;Popovic, N;Dervish, S;Brouwer, MAE;Baharlou, H;Patrick, E;Ctercteko, G;Palmer, S;Lee, E;Hunter, E;Harman, AN;Cunningham, AL;Nasr, N;
PMID: 33872331 | DOI: 10.1371/journal.ppat.1009522
Development (Cambridge, England)
2023 Jun 28
Imaimatsu, K;Hiramatsu, R;Tomita, A;Itabashi, H;Kanai, Y;
PMID: 37376880 | DOI: 10.1242/dev.201660
J Comp Neurol.
2019 Feb 27
Hultman K, Scarlett JM, Baquero AF, Cornea A, Zhang Y, Salinas CBG, Brown J, Morton GJ, Whalen EJ, Grove KL, Koegler FH, Schwartz MW, Mercer AJ.
PMID: 30809795 | DOI: 10.1002/cne.24668
Central activation of fibroblast growth factor (FGF) receptors regulates peripheral glucose homeostasis and reduces food intake in preclinical models of obesity and diabetes. The current work was undertaken to advance our understanding of the receptor expression, as sites of ligand action by FGF19, FGF21, and FGF1 in the mammalian brain remains unresolved. Recent advances in automated RNAscope in situ hybridization and droplet digital PCR (ddPCR) technology allowed us to interrogate central FGFR/beta klotho (Klb) system at the cellular level in the mouse, with relevant comparisons to nonhuman primate and human brain. FGFR1-3 gene expression was broadly distributed throughout the CNS in Mus musculus, with FGFR1 exhibiting the greatest heterogeneity. FGFR4 expression localized only in the medial habenula and subcommissural organ of mice. Likewise, Klb mRNA was restricted to the suprachiasmatic nucleus (SCh) and select midbrain and hindbrain nuclei. ddPCR in the rodent hypothalamus confirmed that, although expression levels are indeed low for Klb, there is nonetheless a bonafide subpopulation of Klb+ cells in the hypothalamus. In NHP and human midbrain and hindbrain, Klb + cells are quite rare, as is expression of FGFR4. Collectively, these data provide the most robust central map of the FGFR/Klb system to date and highlight central regions that may be of critical importance to assess central ligand effects with pharmacological dosing, such as the putative interactions between the endocrine FGFs and FGFR1/Klb, or FGF19 with FGFR4.
Eur Urol Focus.
2017 Aug 27
Necchi A, Raggi D, Volpi CC, Giannatempo P, Colecchia M, Gloghini A.
PMID: 28855072 | DOI: 10.1016/j.euf.2017.08.002
Cells
2022 Aug 02
Donoso, M;D'Amico, D;Valdebenito, S;Hernandez, CA;Prideaux, B;Eugenin, EA;
PMID: 35954221 | DOI: 10.3390/cells11152379
Viruses
2019 Mar 13
Maidji E, Moreno ME, Rivera JM, Joshi P, Galkina SA, Kosikova G, Somsouk M, Stoddart CA.
PMID: - | DOI: 10.3390/v11030256
Although antiretroviral therapy (ART) greatly suppresses HIV replication, lymphoid tissues remain a sanctuary site where the virus may replicate. Tracking the earliest steps of HIV spread from these cellular reservoirs after drug cessation is pivotal for elucidating how infection can be prevented. In this study, we developed an in vivo model of HIV persistence in which viral replication in the lymphoid compartments of humanized mice was inhibited by the HIV reverse transcriptase inhibitor 4′-ethynyl-2-fluoro-2′-deoxyadenosine (EFdA) to very low levels, which recapitulated ART-suppression in HIV-infected individuals. Using a combination of RNAscope in situ hybridization (ISH) and immunohistochemistry (IHC), we quantitatively investigated the distribution of HIV in the lymphoid tissues of humanized mice during active infection, EFdA suppression, and after drug cessation. The lymphoid compartments of EFdA-suppressed humanized mice harbored very rare transcription/translation-competent HIV reservoirs that enable viral rebound. Our data provided the visualization and direct measurement of the early steps of HIV reservoir expansion within anatomically intact lymphoid tissues soon after EFdA cessation and suggest a strategy to enhance therapeutic approaches aimed at eliminating the HIV reservoir.
mBio
2023 Jun 12
Kovarova, M;Wessel, SE;Johnson, CE;Anderson, SV;Cottrell, ML;Sykes, C;Cohen, MS;Garcia, JV;
PMID: 37306625 | DOI: 10.1128/mbio.02224-22
Oncotarget.
2018 Aug 14
Fromme JE, Schmitz K, Wachter A, Grzelinski M, Zielinski D, Koppel C, Conradi LC, Homayounfar K, Hugo T, Hugo S, Lukat L, Rüschoff J, Ströbel P, Ghadimi M, Beißbarth T, Reuter-Jessen K, Bleckmann A, Schildhaus HU.
PMID: 30181810 | DOI: 10.18632/oncotarget.25941
Abstract
OBJECTIVES:
Metastatic colorectal cancer (CRC) remains a leading cause of cancer related deaths. Patients with oligometastatic liver disease represent a clinical subgroup with heterogeneous course. Until now, biomarkers to characterize outcome and therapeutic options have not been fully established.
METHODS:
We investigated the prevalence of FGFR alterations in a total of 140 primary colorectal tumors and 63 liver metastases of 55 oligometastatic CRC patients. FGF receptors (FGFR1-4) and their ligands (FGF3, 4 and 19) were analyzed for gene amplifications and rearrangements as well as for RNA overexpression in situ. Results were correlated with clinico-pathologic data and molecular subtypes.
RESULTS:
Primary tumors showed FGFR1 (6.3%) and FGF3,4,19 (2.2%) amplifications as well as FGFR1 (10.1%), FGFR2 (5.5%) and FGFR3 (16.2%) overexpression. In metastases, we observed FGFR1 amplifications (4.8%) as well as FGFR1 (8.5%) and FGFR3 (14.9%) overexpression. Neither FGFR2-4 amplifications nor gene rearrangements were observed. FGFR3 overexpression was significantly associated with shorter overall survival in metastases (mOS 19.9 vs. 47.4 months, HR=3.14, p=0.0152), but not in primary CRC (HR=1.01, p=0.985). Although rare, also FGFR1 amplification was indicative of worse outcome (mOS 12.6 vs. 47.4 months, HR=8.83, p=0.00111).
CONCLUSIONS:
We provide the so far most comprehensive analysis of FGFR alterations in primary and metastatic CRC. We describe FGFR3 overexpression in 15% of CRC patients with oligometastatic liver disease as a prognosticator for poor outcome. Recently FGFR3 overexpression has been shown to be a potential therapeutic target. Therefore, we suggest focusing on this subgroup in upcoming clinical trials with FGFR-targeted therapies.
Nature communications
2021 Apr 12
Rhodes, JW;Botting, RA;Bertram, KM;Vine, EE;Rana, H;Baharlou, H;Vegh, P;O'Neil, TR;Ashhurst, AS;Fletcher, J;Parnell, GP;Graham, JD;Nasr, N;Lim, JJK;Barnouti, L;Haertsch, P;Gosselink, MP;Di Re, A;Reza, F;Ctercteko, G;Jenkins, GJ;Brooks, AJ;Patrick, E;Byrne, SN;Hunter, E;Haniffa, MA;Cunningham, AL;Harman, AN;
PMID: 33846309 | DOI: 10.1038/s41467-021-22375-x
Immunity.
2017 Oct 17
McGary CS, Deleage C, Harper J, Micci L, Ribeiro SP, Paganini S, Kuri-Cervantes L, Benne C, Ryan ES, Balderas R, Jean S, Easley K, Marconi V, Silvestri G, Estes JD, Sekaly RP, Paiardini M.
PMID: 29045906 | DOI: 10.1016/j.immuni.2017.09.018
Antiretroviral therapy (ART) suppresses viral replication in HIV-infected individuals but does not eliminate the reservoir of latently infected cells. Recent work identified PD-1+ follicular helper T (Tfh) cells as an important cellular compartment for viral persistence. Here, using ART-treated, SIV-infected rhesus macaques, we show that CTLA-4+PD-1- memory CD4+ T cells, which share phenotypic markers with regulatory T cells, were enriched in SIV DNA in blood, lymph nodes (LN), spleen, and gut, and contained replication-competent and infectious virus. In contrast to PD-1+ Tfh cells, SIV-enriched CTLA-4+PD-1- CD4+ T cells were found outside the B cell follicle of the LN, predicted the size of the persistent viral reservoir during ART, and significantly increased their contribution to the SIV reservoir with prolonged ART-mediated viral suppression. We have shown that CTLA-4+PD-1- memory CD4+ T cells are a previously unrecognized component of the SIV and HIV reservoir that should be therapeutically targeted for a functional HIV-1 cure.
Cell Reports
2017 Jul 25
Cavrois M, Banerjee T, Mukherjee G, Raman N, Hussien R, Rodriguez BA, Vasquez J, Spitzer MH, Lazarus NH, Jones JJ, Ochsenbauer C, McCune JM, Butcher EC, Arvin AM, Sen N, Greene WC, Roan NR.
PMID: 28746881 | DOI: 10.1016/j.celrep.2017.06.087
To characterize susceptibility to HIV infection, we phenotyped infected tonsillar T cells by single-cell mass cytometry and created comprehensive maps to identify which subsets of CD4+ T cells support HIV fusion and productive infection. By comparing HIV-fused and HIV-infected cells through dimensionality reduction, clustering, and statistical approaches to account for viral perturbations, we identified a subset of memory CD4+ T cells that support HIV entry but not viral gene expression. These cells express high levels of CD127, the IL-7 receptor, and are believed to be long-lived lymphocytes. In HIV-infected patients, CD127-expressing cells preferentially localize to extrafollicular lymphoid regions with limited viral replication. Thus, CyTOF-based phenotyping, combined with analytical approaches to distinguish between selective infection and receptor modulation by viruses, can be used as a discovery tool.
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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