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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/transcriptomic+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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    Software:

    Article Title: Architecture of the neutrophil compartment.
    Article Snippet: Daniela Cerezo-Wallis, Andrea Rubio-Ponce, Mathis Richter, Emanuele Pitino, Immanuel Kwok, Giovanni Marteletto, Ana Cristina Guanolema-Coba, Changming Shih, Run-Kai Huang, Ana Moraga, Natalia Borbaran Bravo, Samuel Doré, Sergio Callejas, David G. Aragonés, Daniel Jiménez-Carretero, Daniel Martin, Samuel Ovadia, Tommaso Vicanolo, Georgiana Crainiciuc, Jon Sicilia, Tong Deng, Anjelica Martin, Jing Zhang, Maria Isabel Cuartero, Diego Moncada Giraldo, Alicia Garcia-Culebras, Alejandra Aroca-Crevillen, Sandra Martín-Salamanca, Carlos Torroja, Max Ruiz, Irene Ruano, Melissa S. F. Ng, Jian Hou, You Wang, Ming Zhang, Jun Pu, Ana Herruzo, David Chang van Oordt, Seokyoon Chang, Alexander E. Downie, Fei Chen, Andrea L. Graham, William C. Gause, Pierre O. Fiset, Jonathan D. Spicer, Holger Heyn, Maria A. Zuriaga, Juan A. Bernal, Irina A. Udalova, Maria A. Moro, Katrien de Bock, Ana Dopazo, Jose J. Fuster, Fátima Sánchez-Cabo, Juan C. Nieto, Gabriel F. Calvo, Julia Skokowa, Oliver Soehnlein, Daniela F. Quail, Logan A. Walsh, Lai Guan Ng6,27,30 ✉, Andrés Hidalgo1,2,30 ✉ & Iván Ballesteros2,28,30 ✉

    Amplification:

    Article Title: Architecture of the neutrophil compartment.
    Article Snippet: Daniela Cerezo-Wallis, Andrea Rubio-Ponce, Mathis Richter, Emanuele Pitino, Immanuel Kwok, Giovanni Marteletto, Ana Cristina Guanolema-Coba, Changming Shih, Run-Kai Huang, Ana Moraga, Natalia Borbaran Bravo, Samuel Doré, Sergio Callejas, David G. Aragonés, Daniel Jiménez-Carretero, Daniel Martin, Samuel Ovadia, Tommaso Vicanolo, Georgiana Crainiciuc, Jon Sicilia, Tong Deng, Anjelica Martin, Jing Zhang, Maria Isabel Cuartero, Diego Moncada Giraldo, Alicia Garcia-Culebras, Alejandra Aroca-Crevillen, Sandra Martín-Salamanca, Carlos Torroja, Max Ruiz, Irene Ruano, Melissa S. F. Ng, Jian Hou, You Wang, Ming Zhang, Jun Pu, Ana Herruzo, David Chang van Oordt, Seokyoon Chang, Alexander E. Downie, Fei Chen, Andrea L. Graham, William C. Gause, Pierre O. Fiset, Jonathan D. Spicer, Holger Heyn, Maria A. Zuriaga, Juan A. Bernal, Irina A. Udalova, Maria A. Moro, Katrien de Bock, Ana Dopazo, Jose J. Fuster, Fátima Sánchez-Cabo, Juan C. Nieto, Gabriel F. Calvo, Julia Skokowa, Oliver Soehnlein, Daniela F. Quail, Logan A. Walsh, Lai Guan Ng6,27,30 ✉, Andrés Hidalgo1,2,30 ✉ & Iván Ballesteros2,28,30 ✉

    other:

    Article Title: Exploring the role of Disulfidptosis in glioma progression: insights into tumor heterogeneity and therapeutic potential through single-cell RNA sequencing
    Article Snippet: The spatial transcriptomic data from a GBM tumor sample were obtained from 10X Genomics’ public dataset ( https://www.10xgenomics.com/ ).

    Article Title: Exploring the role of Disulfidptosis in glioma progression: insights into tumor heterogeneity and therapeutic potential through single-cell RNA sequencing.
    Article Snippet: The spatial transcriptomic data from a GBM tumor sample were obtained from 10X Genomics’ public dataset (https:// www.



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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) <t>Transcriptomic</t> 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.
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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