Integrating microarray-based spatial
NettetAuthor Correction: Integrating microarray-based spatial transcriptomics and single-cell RNA-seq reveals tissue architecture in pancreatic ductal adenocarcinomas Nat … NettetMoncada R, Barkley D, Wagner F, Chiodin M, Devlin JC, Baron M, Hajdu CH, Simeone DM, Yanai I (2024) Integrating microarray-based spatial transcriptomics and single-cell RNA-seq reveals tissue architecture in pancreatic ductal …
Integrating microarray-based spatial
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Nettet19. apr. 2024 · Abstract. Background: The tumour microenvironment (TME) serves as an important factor in tumorigenesis and metastasis. Although distinct cell subsets can be … Nettet13. jan. 2024 · We combine a microarray-based spatial transcriptomics method that reveals spatial patterns of gene expression using an array of spots, each capturing the …
Nettet3. des. 2024 · Through this model, Noah data is downscaled to 9km to fill the vacant area. As for some areas that have not been filled, Noah data is used for fitting, interpolation and filling, and the residual correction is further carried out based on Poisson equation method, and then the spatio-temporal seamless 9km daily soil moisture data is generated. Nettet23. mai 2024 · Spatial enhanced resolution omics-sequencing—Stereo-seq—is a new technology that is based on DNA nanoball patterned arrays, which enable spatial analysis at an impressive resolution ( Figure 1 ). The diameter of one DNA nanoball is 220nm, such that there are 400 nanoballs in 100μm 2.
Nettet23. sep. 2024 · Integrating microarray-based spatial transcriptomics and single-cell RNA-sequencing reveals tissue architecture in esophageal squamous cell carcinoma - … Nettet18. jul. 2024 · Cancer molecular subtyping (describing cancer subtypes) is important not least because of its potential relevance to choice of treatment [1,2].In the case of Colon Cancer, classifications of colorectal cancers (CRC) can be subdivided into 3–6 subtypes, based on gene expression profiles [1,2,3,4].Alternatively, CRC has been shown to …
Nettet2024年发表在Nature Biotechnology（IF=54.901）上的文章Integrating microarray-based spatial transcriptomics and single-cell RNA-seq reveals tissue architecture …
Nettet2. jan. 2024 · To overcome this, we developed Spatial PrOtein and Transcriptome Sequencing (SPOTS) for high-throughput simultaneous spatial transcriptomics and … san22bb wall mountTo integrate the scRNA-seq and ST datasets, we developed MIA. This analysis proceeds by first delineating sets of cell type-specific and tissue region-specific genes and then determining whether their overlap is higher (enrichment) or lower (depletion) than expected by chance. In the scRNA-seq data, we … Se mer We first processed fresh primary PDAC tumors from two untreated patients—PDAC-A and PDAC-B—for parallel scRNA-seq and ST analysis (Fig. 1a and see Methods). The scRNA-seq data consisted of cells … Se mer To generate unbiased transcriptomic maps of the tissue sections, we mounted cryosections of the two unfixed PDAC tissues originating from the same tumor sample onto the spatially barcoded ST microarray slides (see … Se mer One of the most useful aspects of scRNA-seq is its ability to reveal distinct subpopulations within cell types. We thus sought to characterize … Se mer We found two cancer cell populations in the PDAC-A scRNA-seq data that appeared to be both genetically and transcriptionally distinct … Se mer sana address po box 855 arnold marylandNettet3. jun. 2024 · Research on spatiotemporal gene landscape can provide insights into the spatial characteristics of human kidney development and facilitate kidney organoid cultivation. Here, we profiled the spatiotemporal gene programs of the human embryonic kidneys at 9 and 18 post-conception weeks (PCW) by integrating the application of … sana aesthetic iconsNettet22. sep. 2024 · By using multimodal intersection analysis (MIA) to integrate scRNA-seq and microarray-based spatial transcriptomics (ST) methods, we presented the TME … san55 wall mountNettet3. mar. 2024 · However, deciphering the neoplastic subtypes and their spatial organization is still challenging. Here, we combine single-nucleus RNA sequencing (snRNA-seq) with a microarray-based spatial transcriptomics (ST) to identify cell populations and their spatial distribution in breast cancer tissues. sana ahmed lake countyNettet14. mar. 2024 · Integrating microarray-based spatial transcriptomics and single-cell RNA-seq reveals tissue architecture in pancreatic ductal adenocarcinomas. Article. Full-text available. Mar 2024; sana all sound effectNettet14. des. 2024 · A recent study provides a spatiotemporal atlas of the human developing heart (4.5–5, 6.5 and 9 PCW) by integrating scRNA-seq, ST and ISS data (Asp et al., 2024). We performed cell type deconvolution on the ST data of samples at 6.5 PCW using 15 deconvolution methods ( Fig. 4a ) and used the ISS cell type map in the original … sana ahmed photography