st transcriptome data (RStudio)

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RStudio st transcriptome data

Isolation and cluster analysis of single-cell <t>transcriptomes</t> from four glioma samples derived from two patients. (A) Workflow of experimental strategy: isolation of human glioma tissues during clinical surgery, followed by parallel scRNA-seq and Spatial Transcriptomic (ST) analysis profiling using with the 10x Genomics Chromium platform and subsequent validation by H&E and IHC staining. (B) Uniform Manifold Approximation and Projection (UMAP) plot showing 16 major clusters. (C) Clusters are annotated for their cell types as predicted using canonical markers and signature-based annotation using Garnett. (D) Heatmap showing clustering with top 30 highly expressed genes. (E, F) Feature UMAP plots depicting cluster-specific expression of cell clusters markers including SOX2 (SRY-Box Transcription Factor 2) and EGFR (Epidermal growth factor receptor) to indicate the major malignant cell clusters.

St Transcriptome Data, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/st+transcriptome+data/pmc11385306-140-8-16?v=RStudio
Average 90 stars, based on 1 article reviews

st transcriptome data - by Bioz Stars, 2026-08

90/100 stars

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1) Product Images from "Single-cell and spatial transcriptome assays reveal heterogeneity in gliomas through stress responses and pathway alterations"

Article Title: Single-cell and spatial transcriptome assays reveal heterogeneity in gliomas through stress responses and pathway alterations

Journal: Frontiers in Immunology

doi: 10.3389/fimmu.2024.1452172

Isolation and cluster analysis of single-cell transcriptomes from four glioma samples derived from two patients. (A) Workflow of experimental strategy: isolation of human glioma tissues during clinical surgery, followed by parallel scRNA-seq and Spatial Transcriptomic (ST) analysis profiling using with the 10x Genomics Chromium platform and subsequent validation by H&E and IHC staining. (B) Uniform Manifold Approximation and Projection (UMAP) plot showing 16 major clusters. (C) Clusters are annotated for their cell types as predicted using canonical markers and signature-based annotation using Garnett. (D) Heatmap showing clustering with top 30 highly expressed genes. (E, F) Feature UMAP plots depicting cluster-specific expression of cell clusters markers including SOX2 (SRY-Box Transcription Factor 2) and EGFR (Epidermal growth factor receptor) to indicate the major malignant cell clusters.

Figure Legend Snippet: Isolation and cluster analysis of single-cell transcriptomes from four glioma samples derived from two patients. (A) Workflow of experimental strategy: isolation of human glioma tissues during clinical surgery, followed by parallel scRNA-seq and Spatial Transcriptomic (ST) analysis profiling using with the 10x Genomics Chromium platform and subsequent validation by H&E and IHC staining. (B) Uniform Manifold Approximation and Projection (UMAP) plot showing 16 major clusters. (C) Clusters are annotated for their cell types as predicted using canonical markers and signature-based annotation using Garnett. (D) Heatmap showing clustering with top 30 highly expressed genes. (E, F) Feature UMAP plots depicting cluster-specific expression of cell clusters markers including SOX2 (SRY-Box Transcription Factor 2) and EGFR (Epidermal growth factor receptor) to indicate the major malignant cell clusters.

Techniques Used: Isolation, Derivative Assay, Biomarker Discovery, Immunohistochemistry, Expressing

Cluster analysis and annotations of spatial transcriptomes from four glioma samples derived from two patients. (A) t-distributed stochastic neighbor embedding (tSNE) projection of spots showing 9 major ST clusters. (B) The spatial relationship among 9 major ST clusters in four different samples. (C) Heatmap showing clustering with top 30 highly expressed genes from each ST clusters. (D) Heatmap showing the correlation matrix generated from 8 major ST Clusters and 7 major cell types from scRNA-seq calculated through MIA (Multimodal intersection analysis).

Figure Legend Snippet: Cluster analysis and annotations of spatial transcriptomes from four glioma samples derived from two patients. (A) t-distributed stochastic neighbor embedding (tSNE) projection of spots showing 9 major ST clusters. (B) The spatial relationship among 9 major ST clusters in four different samples. (C) Heatmap showing clustering with top 30 highly expressed genes from each ST clusters. (D) Heatmap showing the correlation matrix generated from 8 major ST Clusters and 7 major cell types from scRNA-seq calculated through MIA (Multimodal intersection analysis).

Techniques Used: Derivative Assay, Generated

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