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transcriptome analysis console 4.0 software  (Thermo Fisher)


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    Structured Review

    Thermo Fisher transcriptome analysis console 4.0 software
    Transcriptome Analysis Console 4.0 Software, supplied by Thermo Fisher, 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+analysis+console+software/transcriptome+analysis+console+software/pm40507785-178-7-12
    Average 90 stars, based on 1 article reviews
    transcriptome analysis console 4.0 software - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: Cell-of-origin and genetic drivers define advanced bladder cancer subtypes and potential therapeutic response in mouse models
    Article Snippet: Data analysis was conducted using Transcriptome Analysis Console (TAC) v4.0.2 (Thermo Fisher Scientific).

    Article Title: Inhibiting the TGF-β1 Pathway Reduces the Aggressiveness of Intrahepatic CCA HuCCT1 CD90-Positive Cells.
    Article Snippet: Differential expression analyses were performed in the Transcriptome Analysis Console 4.0 software (Thermo Fisher Scientific, Waltham, MA, USA).

    Article Title: Effects of Dairy Matrix on the Intestinal, Liver, and Bone Transcriptome of Healthy Rats.
    Article Snippet: The resulting data were analyzed using the Transcriptome Analysis Console software 4.0.2 (Applied Biosystems, Thermo Fisher Scientific Inc., Waltham, MA, USA) with an FDR threshold of <0.1.

    Software:

    Article Title: Transcriptomic analysis of bone transport reveals different functions between both ends
    Article Snippet: .. Raw data of the transcriptomes was based on Affymetrix Rat Transcriptome Array 1.0, which was read and normalized on Transcriptome Analysis Console software (v4.0.3.14, Thermo Fisher Scientific). .. The values of the probes were output and re-edited in RStudio (v2023.06.1 Build 524), with probes converted into gene symbols and the expression levels calculated using the average method.

    Article Title: Transcriptomic Profile of Early Antral Follicles: Predictive Somatic Gene Markers of Oocyte Maturation Outcome.
    Article Snippet: .. The statistical analysis was conducted as follows: The Microarray GeneChip assays were performed through a One-Way ANOVA, followed by an empirical Bayes correction for differential expression using the Transcriptome Analysis Console (TAC software; version 4.0.1, Thermo Fisher Scientific, Waltham, MA, USA). .. For the analyses related to oocyte maturation performance, embryonic developmental competence, and qPCR validation, One-Way ANOVA was performed with GraphPad Prism 10.1.1 (https://www.graphpad.com/, accessed on 2 May 2024), with p-values less than 0.05 considered statistically significant.

    Article Title: Prognostic gene expression signatures for HPV-negative head and neck squamous cell carcinoma.
    Article Snippet: Background: Head and neck squamous cell carcinoma (HNSCC) is a leading cause of cancer-related deaths worldwide, with HPV-negative cases being particularly aggressive.. These cases often show poor prognosis and low responsiveness to radiotherapy.. Improved prognostic tools and treatment strategies are needed to enhance outcomes.

    Article Title: Identification of a Growth-Promoting Gene Cluster in the Region 2q24 as a Driver of Tumorigenesis in Childhood Hepatoblastoma.
    Article Snippet: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 ajp.amjpathol.org 63 64 65 66 67 68 69 70 71 72 73 74 Identification of a Growth-Promoting Gene 75 76 Cluster in the Region 2q24 as a Driver of 77 78 79 80 81 82 Tumorigenesis in Childhood Hepatoblastoma Martin M. Rodemann,* Verena Dreschmann,* Evelyn Dörner,* Anette Sommer,y Joern Kraetzschmar,y Ludger Klein-Hitpass,z Genta Nagae,x Eiso Hiyama,{k Dietrich von Schweinitz,** Roland Kappler,** Christian Vokuhl,yy and Torsten Pietsch*

    Article Title: Modelling the Liver’s Regenerative Capacity across Different Clinical Conditions
    Article Snippet: 197 198 Transcriptome Analysis 199 Total RNA extracted from liver tissues was profiled utilizing the Affymetrix Mouse Gene 2.0 200 ST array provided by ThermoFisher Scientific. .. The data obtained were pre-processed, 201 annotated, and statistically analyzed using the Transcriptome Analysis Console software 202 (ThermoFisher Scientific). .. For pathway analysis, differentially expressed genes identified from 203 this process were analyzed using Ingenuity Pathway Analysis (IPA) software (Qiagen).

    Microarray:

    Article Title: Transcriptomic Profile of Early Antral Follicles: Predictive Somatic Gene Markers of Oocyte Maturation Outcome.
    Article Snippet: .. The statistical analysis was conducted as follows: The Microarray GeneChip assays were performed through a One-Way ANOVA, followed by an empirical Bayes correction for differential expression using the Transcriptome Analysis Console (TAC software; version 4.0.1, Thermo Fisher Scientific, Waltham, MA, USA). .. For the analyses related to oocyte maturation performance, embryonic developmental competence, and qPCR validation, One-Way ANOVA was performed with GraphPad Prism 10.1.1 (https://www.graphpad.com/, accessed on 2 May 2024), with p-values less than 0.05 considered statistically significant.

    Quantitative Proteomics:

    Article Title: Transcriptomic Profile of Early Antral Follicles: Predictive Somatic Gene Markers of Oocyte Maturation Outcome.
    Article Snippet: .. The statistical analysis was conducted as follows: The Microarray GeneChip assays were performed through a One-Way ANOVA, followed by an empirical Bayes correction for differential expression using the Transcriptome Analysis Console (TAC software; version 4.0.1, Thermo Fisher Scientific, Waltham, MA, USA). .. For the analyses related to oocyte maturation performance, embryonic developmental competence, and qPCR validation, One-Way ANOVA was performed with GraphPad Prism 10.1.1 (https://www.graphpad.com/, accessed on 2 May 2024), with p-values less than 0.05 considered statistically significant.

    Gene Expression:

    Article Title: Prognostic gene expression signatures for HPV-negative head and neck squamous cell carcinoma.
    Article Snippet: Background: Head and neck squamous cell carcinoma (HNSCC) is a leading cause of cancer-related deaths worldwide, with HPV-negative cases being particularly aggressive.. These cases often show poor prognosis and low responsiveness to radiotherapy.. Improved prognostic tools and treatment strategies are needed to enhance outcomes.



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