transcriptome sequencing wts data (Caris Life Sciences)
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Transcriptome Sequencing Wts Data, supplied by Caris Life Sciences, 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/sequencing+transcriptome+whole/pm42236117-215-17-22
Average 86 stars, based on 1 article reviews
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Sequencing:Article Title: Evaluating Debio 1347 in Patients with FGFR Fusion-Positive Advanced Solid Tumors from the FUZE Multicenter, Open-Label, Phase II Basket Trial Article Snippet: .. Analysis of whole Article Title: Spatially resolved single-cell landscape of tumor immunotypes reveals the central role of interferon signaling and plasmacytoid dendritic cells in triple-negative breast cancer. Article Snippet: In collaboration with Caris Life Sciences (Phoenix, AZ), we used the CODEai data platform and identified a cohort of 2899 patients with TNBC with available genomic and clinical outcome data (demographic characteristics summarized in online supplemental table S11). .. Within the CODEai data platform, we applied a transcriptomic deconvolution approach to estimate pDC abundance from whole Generated:Article Title: Evaluating Debio 1347 in Patients with FGFR Fusion-Positive Advanced Solid Tumors from the FUZE Multicenter, Open-Label, Phase II Basket Trial Article Snippet: .. Analysis of whole other:Article Title: Differences in Tumor Gene Expression Profiles Between De Novo Metastatic Castration-sensitive Prostate Cancer and Metastatic Relapse After Prior Localized Therapy. Article Snippet: Article info Article history: Received 29 December 2023 Received in Revised form 18 April 2024 Accepted 23 April 2024 Associate Editor: Elena Castro |
![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.](https://bio-rxiv-images-cdn.bioz.com/dois_ending_with_04/10__64898_slash_2026__06__03__729804/10__64898_slash_2026__06__03__729804___F1.large.jpg)