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data analysis spatial transcriptomic experiment  (10X Genomics)

 
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    10X Genomics data analysis spatial transcriptomic experiment
    Data Analysis Spatial Transcriptomic Experiment, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/transcriptome+data/pm42226209-88-10-38
    Average 86 stars, based on 1 article reviews
    data analysis spatial transcriptomic experiment - by Bioz Stars, 2026-09
    86/100 stars

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    other:

    Article Title: Multi‑omics identification of a novel signature for serous ovarian carcinoma in the context of 3P medicine and based on twelve programmed cell death patterns: a multi-cohort machine learning study
    Article Snippet: Single-cell transcriptome sequencing data were obtained from the GEO database (GSE184880 and GSE213243), whereas spatial transcriptome data were acquired from the 10 × genomics database ( https://www.10xgenomics.com/resources/datasets/human-ovarian-cancer-11-mm-capture-area-ffpe-2-standard ; Table S2).

    RNA Sequencing:

    Article Title: RNA-combine: a toolkit for comprehensive analyses on transcriptome data from different sequencing platforms
    Article Snippet: .. Our RNA-combine consists of 16 modules and could process transcriptome data (bulk RNA-seq, scRNA-seq, and Iso-Seq) from three sequencing platforms (Illumina, 10x Genomics, PacBio). ..

    Sequencing:

    Article Title: RNA-combine: a toolkit for comprehensive analyses on transcriptome data from different sequencing platforms
    Article Snippet: .. Our RNA-combine consists of 16 modules and could process transcriptome data (bulk RNA-seq, scRNA-seq, and Iso-Seq) from three sequencing platforms (Illumina, 10x Genomics, PacBio). ..



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    a) Log 2 ([elevated temperature/control] average total accumulation) of metabolic categories (n≥3) at six different seed developmental stages. b) Untargeted metabolomic data statistical analysis. c) Differentially accumulated metabolic features during seed development. d) Number of major metabolic categories (Flavonoids, Cinnamic acids and derivatives, and Glucosinolates) induced by elevated temperature at each seed developmental stage. e) Transcriptomic data statistical analysis. f) Differentially expressed genes during seed development. g) Percentages of genes coding for enzymes putatively involved in specialized metabolite modifications (Acyltransferases, Glycosyltransferases, Hydroxylases and Methyltransferases) induced, and repressed, at each seed developmental stage by elevated temperature.

    Journal: bioRxiv

    Article Title: Elevated temperature drives the biosynthesis of novel acylated glucosinolates in Arabidopsis thaliana seeds

    doi: 10.64898/2026.06.03.729804

    Figure Lengend Snippet: a) Log 2 ([elevated temperature/control] average total accumulation) of metabolic categories (n≥3) at six different seed developmental stages. b) Untargeted metabolomic data statistical analysis. c) Differentially accumulated metabolic features during seed development. d) Number of major metabolic categories (Flavonoids, Cinnamic acids and derivatives, and Glucosinolates) induced by elevated temperature at each seed developmental stage. e) Transcriptomic data statistical analysis. f) Differentially expressed genes during seed development. g) Percentages of genes coding for enzymes putatively involved in specialized metabolite modifications (Acyltransferases, Glycosyltransferases, Hydroxylases and Methyltransferases) induced, and repressed, at each seed developmental stage by elevated temperature.

    Article Snippet: Untargeted metabolomic raw data (.mzXML) for both negative and positive ESI modes, and metadata have been deposited at the MassiVE data repository portal with the following identifiers: The transcriptomic RNA-Seq raw data (FASTQ) have been deposited at the National Center for Biotechnology Information (NCBI) Transcriptome Shotgun Assembly Sequence Database (TSA) with BioProject identification PRJNA1344327.

    Techniques: Control, Metabolomic