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ATLAS Biolabs GmbH transcriptome analysis data set
Results of the <t>transcriptome</t> analysis. (A) Heatmap of all genes with higher/lower fold change value than 1/-1 (log2), compared between unstimulated control cells and HEF stimulated cells after 7 and 28 days. (B) Heatmap of top 10 genes with highest and lowest fold changes (log2) each day. (C) Pathways influenced by the electric stimulation. Each node (circle) represents a distinct molecular or biological function, and edges (green lines) represent the number of overlapping genes, determined using a similarity coefficient . Yellow and orange circles represent upregulated molecular or biological functions after 7 (yellow) and 28 days (orange) of HEF stimulation, respectively. Green and blue circles represent downregulated molecular or biological functions after 7 (green) and 28 days (blue) of HEF stimulation, respectively.
Transcriptome Analysis Data Set, supplied by ATLAS Biolabs GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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transcriptome analysis data set - by Bioz Stars, 2026-10
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1) Product Images from "Long-term stimulation with alternating electric fields modulates the differentiation and mineralization of human pre-osteoblasts"

Article Title: Long-term stimulation with alternating electric fields modulates the differentiation and mineralization of human pre-osteoblasts

Journal: Frontiers in Physiology

doi: 10.3389/fphys.2022.965181

Results of the transcriptome analysis. (A) Heatmap of all genes with higher/lower fold change value than 1/-1 (log2), compared between unstimulated control cells and HEF stimulated cells after 7 and 28 days. (B) Heatmap of top 10 genes with highest and lowest fold changes (log2) each day. (C) Pathways influenced by the electric stimulation. Each node (circle) represents a distinct molecular or biological function, and edges (green lines) represent the number of overlapping genes, determined using a similarity coefficient . Yellow and orange circles represent upregulated molecular or biological functions after 7 (yellow) and 28 days (orange) of HEF stimulation, respectively. Green and blue circles represent downregulated molecular or biological functions after 7 (green) and 28 days (blue) of HEF stimulation, respectively.
Figure Legend Snippet: Results of the transcriptome analysis. (A) Heatmap of all genes with higher/lower fold change value than 1/-1 (log2), compared between unstimulated control cells and HEF stimulated cells after 7 and 28 days. (B) Heatmap of top 10 genes with highest and lowest fold changes (log2) each day. (C) Pathways influenced by the electric stimulation. Each node (circle) represents a distinct molecular or biological function, and edges (green lines) represent the number of overlapping genes, determined using a similarity coefficient . Yellow and orange circles represent upregulated molecular or biological functions after 7 (yellow) and 28 days (orange) of HEF stimulation, respectively. Green and blue circles represent downregulated molecular or biological functions after 7 (green) and 28 days (blue) of HEF stimulation, respectively.

Techniques Used: Control

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Article Title: Long-term stimulation with alternating electric fields modulates the differentiation and mineralization of human pre-osteoblasts
Article Snippet: was necessary due to the need of a high RNA amount for the transcriptome analysis and the comparatively low cell number used in the experiments. .. In the transcriptome analysis data set provided by ATLAS Biolabs, the signal intensity of more than 55,335 annotated probe sets, hence RNA transcripts were determined. .. Based on the normalized, logarithmic (basis 2) probe set intensity measured for each transcript in pooled control and HEF stimulated cells, fold chang



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Image Search Results


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