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.
British Journal of Haematology
2017 Apr 03
Wang Z, Cook JR.
PMID: 28369778 | DOI: 10.1111/bjh.14670
Primary mediastinal large B-cell lymphoma (PMLBCL) is recognized as a distinct clinicopathological entity in the current World Health Organization classification of lymphoid neoplasms (Swerdlow et al, 2016). Gene expression profiling studies have confirmed a distinct signature in PMLBCL that differs from diffuse large B-cell lymphoma, not otherwise specified (DLBCL, NOS) and partially overlaps with that found in classical Hodgkin lymphoma (Savage et al, 2003; Bea et al, 2005). In routine clinical practice, however, distinguishing between PMLBCL and DLBCL, NOS is frequently difficult, due partly to a paucity of sensitive and specific biomarkers (Martelli et al, 2008; Dorfman et al, 2012). Recent studies have shown that PMLBCL shows frequent copy number alterations or translocations involving the CD274 (PD-L1) or PDCD1LG2 (PD-L2) genes at chromosome 9p24.1, leading to overexpression of CD274 (PD-L1) and, especially, PDCD1LG (PD-L2) proteins (Shi et al, 2014; Twa & Steidl, 2015). Anti-PDCD1LG2 antibodies suitable for immunohistochemical analysis in formalin-fixed paraffin-embedded (FFPE) tissue are not currently commercially available, limiting the utility of this potential marker for routine diagnostic practice. In this study, we have performed RNA in situ hybridization (RISH) for CD274 and PDCD1LG2 RNA expression, using a standard automated immunohistochemistry (IHC) platform, and have compared the results to IHC using a commercially available anti-CD274 antibody.
J Neuroinflammation.
2018 Sep 06
Rothman Sm, Tanis KQ, Gandhi P, Malkov V, Marcus J, Pearson M, Stevens R, Gilliland J, Ware C, Mahadomrongkul V, O’Loughlin E, Zeballos G, Smith R, Howell BJ, Klappenbach J, Kennedy M, Mirescu C.
PMID: 30189875 | DOI: 10.1186/s12974-018-1265-7
Abstract
BACKGROUND:
Alzheimer's disease (AD) is a chronic neurodegenerative disease with pathological hallmarks including the formation of extracellular aggregates of amyloid-beta (Aβ) known as plaques and intracellular tau tangles. Coincident with the formation of Aβ plaques is recruitment and activation of glial cells to the plaque forming a plaque niche. In addition to histological data showing the formation of the niche, AD genetic studies have added to the growing appreciation of how dysfunctional glia pathways drive neuropathology, with emphasis on microglia pathways. Genomic approaches enable comparisons of human disease profiles between different mouse models informing on their utility to evaluate secondary changes to triggers such as Aβ deposition.
METHODS:
In this study, we utilized two animal models of AD to examine and characterize the AD-associated pathology: the Tg2576 Swedish APP (KM670/671NL) and TgCRND8 Swedish plus Indiana APP (KM670/671NL + V717F) lines. We used laser capture microscopy (LCM) to isolate samples surrounding Thio-S positive plaques from distal non-plaque tissue. These samples were then analyzed using RNAsequencing.
RESULTS:
We determined age-associated transcriptomic differences between two similar yet distinct APP transgenic mouse models, known to differ in proportional amyloidogenic species and plaque deposition rates. In Tg2576, human AD gene signatures were not observed despite profiling mice out to 15 months of age. TgCRND8 mice however showed progressive and robust induction of lysomal, neuroimmune, and ITIM/ITAM-associated gene signatures overlapping with prior human AD brain transcriptomic studies. Notably, RNAseq analyses highlighted the vast majority of transcriptional changes observed in aging TgCRND8 cortical brain homogenates were in fact specifically enriched within the plaque niche samples. Data uncovered plaque-associated enrichment of microglia-related genes such as ITIM/ITAM-associated genes and pathway markers of phagocytosis.
CONCLUSION:
This work may help guide improved translational value of APP mouse models of AD, particularly for strategies aimed at targeting neuroimmune and neurodegenerative pathways, by demonstrating that TgCRND8 more closely recapitulates specific human AD-associated transcriptional responses.
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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