Project description:We conducted spatial transcriptomics data analysis of mouse tumors of gastric cancer treated with regorafenib, a multikinase inhibitor, which can suppress cancer-associated fibroblast growth by inhibiting platelet-derived growth factor receptor alpha and beta.
Project description:We have now developed an organoid-based model of gastric cancer from GAstric Neoplasia (GAN) mice, which express Wnt1 and the enzymes COX2 and microsomal prostaglandin E synthase 1 in the stomach. Both p53 knockout (GAN-p53KO) organoids and KRASG12V-expressing GAN-p53KO (GAN-KP) organoids were generated by genetic manipulation of GAN mouse–derived tumor (GAN-WT) organoids. To uncover the molecular mechanism underlying the intratumoral heterogeneity of GAN-KP tumors, we performed spatial transcriptomics analysis with the 10× Genomics Visium platform, which allows characterization of the spatial topography of gene expression.
Project description:To develop a syngeneic mouse model of metastatic gastric cancer, we established the tumor organoids from gastric tumor arising in GAstric Neoplasia (GAN) mice (GAN-WT) which express Wnt1 and the PGE2 synthesis enzymes COX-2 and microsomal prostaglandin E synthase-1 (mPGES-1) in the stomach epithelium. Furthemore, GAN-WT organoids were genetically manupilated into p53 knockout organoids (GAN-p53KO) and KrasG12V-expressing GAN-p53KO organoids (GAN-KP).
Project description:Developing effective model systems to evaluate new potential chemotherapeutic reagents is critical. Three-dimensional cell cultures, such as spheroids, aid in bridging the gap between commonly used monolayer cell cultures and significantly more complex and expensive animal models. Spheroid model systems contain pathophysiological and chemical gradients similar to an in vivo tumor, which ultimately form distinct cellular subpopulations. In the spatial SILAC model, labels are pulsed into the spheroid at discrete time windows during development. These media pulses result in labeled proteins in distinct regions of the spheroid, which allows for tracing of quantitative proteomic changes to be correlated to different cellular subregions. In this study, we use the Spatial SILAC model to evaluate the proteomic response of a colon carcinoma spheroid to the multikinase inhibitor Regorafenib. We determined regorafenib to be an effective kinase inhibitor which significantly altered whole spheroid proliferation and resulted in increased apoptosis when the signal was averaged for all cells in the culture. However, when regorafenib treatment is more closely examined among the cellular subpopulations, drastic differences are observed for how the drug impacted the proteome of the necrotic spheroid core and the proliferating outer regions. Whole spheroid and outer region analysis shows that regorafenib treatment inhibited critical pathways such as mTOR signaling, ERK/MAPK signaling, and colorectal cancer metastasis signaling. However, analysis of the core shows that regorafenib had an entirely different effect, including upregulation of MAPK1 and KRAS, possibly indicating drug resistance within these late apoptotic cells. Ultimately, these combinatory studies can be used to further understanding of drug metabolism is different cellular subpopulations and provide valuable information to ultimately improve the accuracy of therapeutic testing.
Project description:Gene expression analysis of three tumor organoids (GAN-WT, GAN-p53 and GAN-KP) derived from gastric tumor in K19-Wnt1/C2mE (GAN) mouse.
Project description:These data were used in the spatial transcriptomics analysis of the article titled \\"Single-Cell and Spatial Transcriptomics Analysis of Human Adrenal Aging\\".
Project description:To investigate spatial heterogeneities in the axolotl forebrain, a coronal section of it was obtained for spatial transcriptomics using Visium V1.
Project description:Gan mice express Wnt1, Ptgs2, and Ptges, which develop inflammation-associated gastric tumors (Oshima et al, Gastroenterology 131: 1086, 2006). We examined the role of TNF-alpha in tumorigenesis by construction of TNF-/- Gan mice. We also examined genetic background difference in tumor phenotype by changing Gan mouse background from C57BL/6(B6) to BALB/c. Microarray analyses were performed to examine changes of expression profiles in tumors by TNF gene disruption or by changing genetic background. Total RNA was prepared from B6 Gan mice (n=3: Gan1-Gan3), B6-Gan TNF-/- mice (n=3: Gan(TNF KO)1-Gan(TNF KO)3), BALB-Gan mice (n=3: Gan(BALB/c)1-Gan(BALB/c)3), and wid-type normal glandular stomach (n=3: WT1-WT3). We used Affymetrix microarrays for hybridization, and examined expression profiles.