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transcriptomics data arrayexpress e-mtab-11717  (Biomodels LLC)

 
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    Biomodels LLC transcriptomics data arrayexpress e-mtab-11717
    Transcriptomics Data Arrayexpress E Mtab 11717, supplied by Biomodels LLC, 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/transcriptome+data/transcriptomics+data+arrayexpress+e+mtab+11717/pm37303231-281-19-25
    Average 90 stars, based on 1 article reviews
    transcriptomics data arrayexpress e-mtab-11717 - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Acetate is a beneficial nutrient for E. coli at low glycolytic flux
    Article Snippet: The data, model, and computer code produced in this study are available in the following databases: Transcriptomics data: ArrayExpress E‐MTAB‐11717 ( https://www.ebi.ac.uk/biostudies/arrayexpress/studies/E-MTAB-11717 ) Model: BioModels MODEL2005050001 ( https://www.ebi.ac.uk/biomodels/MODEL2005050001 ) Code: GitHub ( https://github.com/MetaSys-LISBP/glucose_acetate_interplay )

    Produced:

    Article Title: Acetate is a beneficial nutrient for E. coli at low glycolytic flux.
    Article Snippet: .. The data, model, and computer code produced in this study are available in the following databases: • Transcriptomics data: ArrayExpress E-MTAB-11717 (https://www. ebi.ac.uk/biostudies/arrayexpress/studies/E-MTAB-11717) • Model: BioModels MODEL2005050001 (https://www.ebi.ac.uk/ biomodels/MODEL2005050001) • Code: GitHub (https://github.com/MetaSys-LISBP/glucose_acetate_ interplay) Expanded View for this article is available online. ..

    Transcriptomics:

    Article Title: Acetate is a beneficial nutrient for E. coli at low glycolytic flux.
    Article Snippet: .. The data, model, and computer code produced in this study are available in the following databases: • Transcriptomics data: ArrayExpress E-MTAB-11717 (https://www. ebi.ac.uk/biostudies/arrayexpress/studies/E-MTAB-11717) • Model: BioModels MODEL2005050001 (https://www.ebi.ac.uk/ biomodels/MODEL2005050001) • Code: GitHub (https://github.com/MetaSys-LISBP/glucose_acetate_ interplay) Expanded View for this article is available online. ..



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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