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dna rna microarray data analyses  (Thermo Fisher)


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    Thermo Fisher dna rna microarray data analyses
    Protein candidates proposed as potential prognostic markers for high and low risk of tumour recurrence in CRC-II patients.
    Dna Rna Microarray Data Analyses, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/rna+microarray+data/DNA/pmc11523985-122-11-35
    Average 99 stars, based on 1 article reviews
    dna rna microarray data analyses - by Bioz Stars, 2026-10
    99/100 stars

    Images

    1) Product Images from "Protein prognostic biomarkers in stage II colorectal cancer: implications for post-operative management"

    Article Title: Protein prognostic biomarkers in stage II colorectal cancer: implications for post-operative management

    Journal: BJC Reports

    doi: 10.1038/s44276-024-00043-z

    Protein candidates proposed as potential prognostic markers for high and low risk of tumour recurrence in CRC-II patients.
    Figure Legend Snippet: Protein candidates proposed as potential prognostic markers for high and low risk of tumour recurrence in CRC-II patients.

    Techniques Used: Biomarker Discovery, Expressing, Marker, Reverse Transcription Polymerase Chain Reaction, Microarray, Over Expression

    Related Articles

    other:

    Article Title: Tumor-derived KLK8 predicts inferior survival and promotes an immune-suppressive tumor microenvironment in lung squamous cell carcinoma
    Article Snippet: We downloaded the raw microarray data form the Affymetrix Human Genome U133 Plus 2.0 Array of GEO database and the RNA sequencing data (fragments per kilobase of transcript million mapped reads (FPKM) value) of TCGA.

    Article Title: Rare variants analyses suggest novel cleft genes in the African population
    Article Snippet: Additional details on the RNA seq data quality control and analysis was reported by Yankee et al. . SysFACE analysis was performed as previously described using GSE7759, GSE22989, GSE31004, and GSE11400 microarray data (Affymetrix Mouse Genome 430 2.0 Array) and GSE55965 microarray data (Affymetrix Mouse Gene 1.0 ST Array).

    Microarray:

    Article Title: MiRNA expression as outcome predictor in pediatric AML: systematic evaluation of a new model
    Article Snippet: .. The data were sequenced using a non-coding RNA microarray (Affymetrix GeneChip miRNA 4.0). ..

    Article Title: Exploring fatty acid metabolism in Alzheimer’s disease: the key role of CPT1A
    Article Snippet: .. The source of the microarray is GPL13667 (Affymetrix GPL platform), Human Genome U219 Array (see https://ida.loni.usc.edu/pages/access/studyData.jsp for details on RNA microarrays and data preprocessing). ..

    Article Title: Dorsal root ganglion-derived exosomes deteriorate neuropathic pain by activating microglia via the microRNA-16-5p/HECTD1/HSP90 axis
    Article Snippet: Briefly, total RNA from DRG-Exo- and PBS-treated microglia was extracted, labeled, and processed for hybridization with Agilent SurePrint mouse miRNA microarrays. .. Microarray data analysis was performed on the Affymetrix miRNA 4.0 platform (Santa Clara, CA, USA). ..

    Article Title: Protein prognostic biomarkers in stage II colorectal cancer: implications for post-operative management
    Article Snippet: .. Candidate selection can be made via informatics approaches [ , ], DNA/RNA microarray data analyses [ ], protein involvement in key biochemical processes [ ], being differentially expressed through mass spectrometry (MS) analysis [ ], Olink proteomics assays [ ] or SomaLogic assays [ ] or as a diagnostic or prognostic marker for other tumour types [ ]. ..

    Article Title: EBF1 is a potential biomarker for predicting progression from mild cognitive impairment to Alzheimer's disease: an in silico study
    Article Snippet: .. The source of the microarray was GPL13667 (Affymetrix GPL platform), Human Genome U219 Array (see https://ida.loni.usc.edu/pages/access/studyData.jsp for details on RNA microarrays and data preprocessing). ..

    Selection:

    Article Title: Protein prognostic biomarkers in stage II colorectal cancer: implications for post-operative management
    Article Snippet: .. Candidate selection can be made via informatics approaches [ , ], DNA/RNA microarray data analyses [ ], protein involvement in key biochemical processes [ ], being differentially expressed through mass spectrometry (MS) analysis [ ], Olink proteomics assays [ ] or SomaLogic assays [ ] or as a diagnostic or prognostic marker for other tumour types [ ]. ..

    Mass Spectrometry:

    Article Title: Protein prognostic biomarkers in stage II colorectal cancer: implications for post-operative management
    Article Snippet: .. Candidate selection can be made via informatics approaches [ , ], DNA/RNA microarray data analyses [ ], protein involvement in key biochemical processes [ ], being differentially expressed through mass spectrometry (MS) analysis [ ], Olink proteomics assays [ ] or SomaLogic assays [ ] or as a diagnostic or prognostic marker for other tumour types [ ]. ..

    Diagnostic Assay:

    Article Title: Protein prognostic biomarkers in stage II colorectal cancer: implications for post-operative management
    Article Snippet: .. Candidate selection can be made via informatics approaches [ , ], DNA/RNA microarray data analyses [ ], protein involvement in key biochemical processes [ ], being differentially expressed through mass spectrometry (MS) analysis [ ], Olink proteomics assays [ ] or SomaLogic assays [ ] or as a diagnostic or prognostic marker for other tumour types [ ]. ..

    Marker:

    Article Title: Protein prognostic biomarkers in stage II colorectal cancer: implications for post-operative management
    Article Snippet: .. Candidate selection can be made via informatics approaches [ , ], DNA/RNA microarray data analyses [ ], protein involvement in key biochemical processes [ ], being differentially expressed through mass spectrometry (MS) analysis [ ], Olink proteomics assays [ ] or SomaLogic assays [ ] or as a diagnostic or prognostic marker for other tumour types [ ]. ..



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    FIGURE 3 Upregulation of IL4I1 infers an unfavorable prognosis for glioma. (A) Representative images (left) and quantification (right) showing IL4I1 staining of normal brain tissues (n = 16) and glioma tissues (n = 37) with the anti-IL4I1 antibody, with scale bars 100 µm (up) and 20 µm (down). (B–D) Kaplan– Meier analysis for OS based on three glioma datasets <t>(CGGA,</t> Rembrandt, and GSE16011). (E–G) ROC curves of OS in CGGA, Rembrandt, and GSE16011 datasets. (H, I) Univariate and multivariate analyses of OS based on CGGA-glioma datasets. ****p < 0.0001.
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    Image Search Results


    Protein candidates proposed as potential prognostic markers for high and low risk of tumour recurrence in CRC-II patients.

    Journal: BJC Reports

    Article Title: Protein prognostic biomarkers in stage II colorectal cancer: implications for post-operative management

    doi: 10.1038/s44276-024-00043-z

    Figure Lengend Snippet: Protein candidates proposed as potential prognostic markers for high and low risk of tumour recurrence in CRC-II patients.

    Article Snippet: Candidate selection can be made via informatics approaches [ , ], DNA/RNA microarray data analyses [ ], protein involvement in key biochemical processes [ ], being differentially expressed through mass spectrometry (MS) analysis [ ], Olink proteomics assays [ ] or SomaLogic assays [ ] or as a diagnostic or prognostic marker for other tumour types [ ].

    Techniques: Biomarker Discovery, Expressing, Marker, Reverse Transcription Polymerase Chain Reaction, Microarray, Over Expression

    FIGURE 3 Upregulation of IL4I1 infers an unfavorable prognosis for glioma. (A) Representative images (left) and quantification (right) showing IL4I1 staining of normal brain tissues (n = 16) and glioma tissues (n = 37) with the anti-IL4I1 antibody, with scale bars 100 µm (up) and 20 µm (down). (B–D) Kaplan– Meier analysis for OS based on three glioma datasets (CGGA, Rembrandt, and GSE16011). (E–G) ROC curves of OS in CGGA, Rembrandt, and GSE16011 datasets. (H, I) Univariate and multivariate analyses of OS based on CGGA-glioma datasets. ****p < 0.0001.

    Journal: Frontiers in immunology

    Article Title: IL4I1 in M2-like macrophage promotes glioma progression and is a promising target for immunotherapy.

    doi: 10.3389/fimmu.2023.1338244

    Figure Lengend Snippet: FIGURE 3 Upregulation of IL4I1 infers an unfavorable prognosis for glioma. (A) Representative images (left) and quantification (right) showing IL4I1 staining of normal brain tissues (n = 16) and glioma tissues (n = 37) with the anti-IL4I1 antibody, with scale bars 100 µm (up) and 20 µm (down). (B–D) Kaplan– Meier analysis for OS based on three glioma datasets (CGGA, Rembrandt, and GSE16011). (E–G) ROC curves of OS in CGGA, Rembrandt, and GSE16011 datasets. (H, I) Univariate and multivariate analyses of OS based on CGGA-glioma datasets. ****p < 0.0001.

    Article Snippet: Dataset Data type WHO grade II WHO grade III WHO grade IV CGGA RNA-seq 291 334 388 Rembrandt Microarray 98 85 130 GSE16011 Microarray 24 85 159 frontiersin.org (1:2000, 60143-1-Ig, Proteintech), CD163 (1:1,000, ab182422, Abcam), CD86 (1:1,000, ab239075, Abcam), and beta-tubulin (1:2000, DF7967, Affinity) overnight.

    Techniques: Staining

    FIGURE 4 Heightened IL4I1 expression is correlated with the malignant phenotype of gliomas. (A–D) IL4I1 shows a significant increase in GBM (WHO IV) in TCGA, Rembrandt, GSE16011, and CGGA datasets. Additionally, box plots visualizing the associations between IL4I1 and various clinical characteristics based on the CGGA dataset. Specifically: (E) Age. (F) Status. (G) Histology. (H, I) High expression of IL4I1 in IDH wild-type and 1p/19q non-codel gliomas.

    Journal: Frontiers in immunology

    Article Title: IL4I1 in M2-like macrophage promotes glioma progression and is a promising target for immunotherapy.

    doi: 10.3389/fimmu.2023.1338244

    Figure Lengend Snippet: FIGURE 4 Heightened IL4I1 expression is correlated with the malignant phenotype of gliomas. (A–D) IL4I1 shows a significant increase in GBM (WHO IV) in TCGA, Rembrandt, GSE16011, and CGGA datasets. Additionally, box plots visualizing the associations between IL4I1 and various clinical characteristics based on the CGGA dataset. Specifically: (E) Age. (F) Status. (G) Histology. (H, I) High expression of IL4I1 in IDH wild-type and 1p/19q non-codel gliomas.

    Article Snippet: Dataset Data type WHO grade II WHO grade III WHO grade IV CGGA RNA-seq 291 334 388 Rembrandt Microarray 98 85 130 GSE16011 Microarray 24 85 159 frontiersin.org (1:2000, 60143-1-Ig, Proteintech), CD163 (1:1,000, ab182422, Abcam), CD86 (1:1,000, ab239075, Abcam), and beta-tubulin (1:2000, DF7967, Affinity) overnight.

    Techniques: Expressing

    FIGURE 6 IL4I1 is expressed in M2-like macrophages in glioma. (A) Summary of IL4I1 expression in 12 distinct single-cell datasets from glioma patients. (B) Association between IL4I1 and macrophages on XCELL, TIMER, and EPIC algorithms. (C) Association between IL4I1 expression and markers of M1 and M2 macrophages in CGGA and TCGA databases. Color depth and digital scale represent the strength of association. (D) Representative colocalization images from IF staining between IL4I1 and CD206 in clinical glioma specimens. DAPI (blue), IL4I1 (red) and CD206 (green). Scale bar: 20 mm. (E) Measurement of protein and mRNA expression levels for markers (CD11B, CD204, CD86, CD206, and CD163) of THP-1, M0, M1, and M2 macrophages using WB and RT-qPCR. (F) Assessment of IL4I1 expression in various macrophage subtypes (M0, M1, and M2) and glioma cells (U87, LN229, and U251). (G) Representative IF pictures of the difference of IL4I1 among M0, M1, and M2 macrophages, U87, and LN229 cells with DAPI (blue) and IL4I1 (red). *p < 0.05, **p < 0.01, ***p < 0.001, and ****p < 0.0001.

    Journal: Frontiers in immunology

    Article Title: IL4I1 in M2-like macrophage promotes glioma progression and is a promising target for immunotherapy.

    doi: 10.3389/fimmu.2023.1338244

    Figure Lengend Snippet: FIGURE 6 IL4I1 is expressed in M2-like macrophages in glioma. (A) Summary of IL4I1 expression in 12 distinct single-cell datasets from glioma patients. (B) Association between IL4I1 and macrophages on XCELL, TIMER, and EPIC algorithms. (C) Association between IL4I1 expression and markers of M1 and M2 macrophages in CGGA and TCGA databases. Color depth and digital scale represent the strength of association. (D) Representative colocalization images from IF staining between IL4I1 and CD206 in clinical glioma specimens. DAPI (blue), IL4I1 (red) and CD206 (green). Scale bar: 20 mm. (E) Measurement of protein and mRNA expression levels for markers (CD11B, CD204, CD86, CD206, and CD163) of THP-1, M0, M1, and M2 macrophages using WB and RT-qPCR. (F) Assessment of IL4I1 expression in various macrophage subtypes (M0, M1, and M2) and glioma cells (U87, LN229, and U251). (G) Representative IF pictures of the difference of IL4I1 among M0, M1, and M2 macrophages, U87, and LN229 cells with DAPI (blue) and IL4I1 (red). *p < 0.05, **p < 0.01, ***p < 0.001, and ****p < 0.0001.

    Article Snippet: Dataset Data type WHO grade II WHO grade III WHO grade IV CGGA RNA-seq 291 334 388 Rembrandt Microarray 98 85 130 GSE16011 Microarray 24 85 159 frontiersin.org (1:2000, 60143-1-Ig, Proteintech), CD163 (1:1,000, ab182422, Abcam), CD86 (1:1,000, ab239075, Abcam), and beta-tubulin (1:2000, DF7967, Affinity) overnight.

    Techniques: Expressing, Staining, Quantitative RT-PCR