Probes for KIT

Gastrointestinal stromal tumors (GISTs) develop from interstitial cells of Cajal (ICCs) mainly by activating mutations in the KIT or PDGFRA genes. Immunohistochemical analysis for KIT, DOG1, and PKC-θ is used for the diagnosis of GIST. Recently, ETV1 has been shown to be a lineage survival factor for ICCs and required for tumorigenesis of GIST. We investigated the diagnostic value of ETV1expression in GIST. On fresh-frozen tissue samples, RT-PCR analysis showed that ETV1 as well as KIT, DOG1, and PKC-θ are highly expressed in GISTs. On tissue microarrays containing 407 GISTs and 120 non-GIST mesenchymal tumors of GI tract, we performed RNA in situ hybridization (ISH) for ETV1 together with immunohistochemical analysis for KIT, DOG1, PKC-θ, CD133, and CD44. Overall, 387 (95 %) of GISTs were positive for ETV1, while KIT and DOG1 were positive in 381 (94 %) and 392 (96 %) cases, respectively, showing nearly identical overall sensitivity of ETV1, KIT, and DOG1 for GISTs. In addition, ETV1 expression was positively correlated with that of KIT. Notably, ETV1 was positive in 15 of 26 (58 %) KIT-negative GISTs and even positive in 2 cases of GIST negative for KIT and DOG1, whereas only 6 (5 %) non-GIST mesenchymal GI tumors expressed ETV1. We conclude that ETV1 is specifically expressed in the majority of GISTs, even in some KIT-negative cases, suggesting that ETV1 may be useful as ancillary marker in diagnostically difficult select cases of GIST.

Mammals are frequently exposed to various environmental stimuli, and to determine whether to approach or avoid these stimuli, the brain must assign emotional valence to them. Therefore, it is crucial to investigate the neural circuitry mechanisms involved in the mammalian brain's processing of emotional valence. Although the central amygdala (CeA) and the ventral tegmental area (VTA) individually encode different or even opposing emotional valences, it is unclear whether there are common upstream input neurons that innervate and control both these regions, and it is interesting to know what emotional valences of these common upstream neurons. In this study, we identify three major brain regions containing neurons that project to both the CeA and the VTA, including the posterior bed nucleus of the stria terminalis (pBNST), the pedunculopontine tegmental nucleus (PPTg), and the anterior part of the basomedial amygdala (BMA). We discover that these neural populations encode distinct emotional valences. Activating neurons in the pBNST produces positive valence, enabling mice to overcome their innate avoidance behavior. Conversely, activating neurons in the PPTg produces negative valence and induces anxiety-like behaviors in mice. Neuronal activity in the BMA, on the other hand, does not influence valence processing. Thus, our study has discovered three neural populations that project to both the CeA and the VTA and has revealed the distinct emotional valences these populations encode. These results provide new insights into the neurological mechanisms involved in emotional regulation.

Complex tissues such as tumors are comprised of multiple cells types and extracellular matrix. These cells include heterogenous populations of immune cells that infiltrate the tumors. Understanding the composition of these immune infiltrates in the tumor microenvironment (TME) can provide key insights to guide therapeutic intervention and predict treatment response. Thorough understanding of complex tissue dynamics and immune cell characterization requires a multi-omics approach. Simultaneous detection of RNA and protein using in situ hybridization (ISH) and immunohistochemistry/immunofluorescence (IHC/IF) can reveal cellular sources of secreted proteins, identify specific cell types, and visualize the spatial organization of cells within the tissue. However, a sequential workflow of ISH followed by IHC/IF frequently yields suboptimal protein detection because the protease digestion step in the ISH protocol resulting in poor antibody signal. Here we demonstrate a newly developed integrated ISH/IHC workflow that can substantially improve RNA-protein co-detection, enabling the visualization and characterization of tumor immune infiltrates at single-cell resolution with spatial and morphological context. To characterize tumor-infiltrating immune cells in a tumor TMA (tumor microarray), we utilized the RNAscope Multiplex Fluorescence assay in combination with the RNA-Protein Co-detection Kit to detect multiple immune cell populations. Immune cells such as macrophages, T cells and NK cells were detected using specific antibodies against CD68, CD8, CD4 and CD56, respectively. Precise characterization of these immune cells was achieved by using probes against targets such as CCL5, IFNG, GNZB, IL-12, NCR1 etc. that not only help in identifying specific immune cells but also assist in determining their activation states. We identified subsets of T cells such as CD4+ regulatory T cells and CD8+ cytotoxic T lymphocytes. Additionally, we were able to determine the activation states of CD8+ T cells by visualizing the expression of IFNG and GZMB. Furthermore, infiltrating macrophages were identified by detecting the CD68 protein expression while the M1 and M2 subsets were differentiated by detecting the M2-specific target RNA for CD163. Similarly, NK cells were identified by detecting CD56 protein in combination with CCL5 and NCR1 RNA expression. Interestingly, the degree of infiltration of the different immune cell populations varied based on the tumor type. In conclusion, the new RNAscope-ISH-IHC co-detection workflow and reagents enable optimized simultaneous visualization of RNA and protein targets by enhancing the compatibility of antibodies - including many previously incompatible antibodies - with RNAscope. This new workflow provides a powerful new approach to identifying and characterizing tumor infiltrating populations of immune cells.