№ lp_2_3_12034
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Supplementary scientific material presenting clustering analyses, pathway enrichment results, LASSO regression modeling, and a correlation dataset of m6A-related lncRNAs within a TCGA cancer cohort study.
Source: TCGA cancer cohort
Section: Supplementary Materials
Content: Supplementary figures and table
Methods: Consensus clustering, pathway enrichment analysis, LASSO regression analysis
Molecular focus: m6A-related lncRNAs
Number of interactions identified: 625
Number of m6A-related lncRNAs identified: 491
Data description: Correlation coefficients, p-values, and regulation direction between m6A regulators and lncRNAs
Statistical parameters: Correlation (cor), p-value, positive and negative regulation
Research field: Cancer genomics
Type of material: Supplementary figures and data table
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Supplementary Table 3 Differentially expressed genes of lncRNA (BM vs ASC)
Year: 2026
Region / City: N/A
Subject: Differential gene expression analysis
Document type: Scientific table
Organization / Institution: N/A
Author: N/A
Target audience: Researchers in genomics, molecular biology
Period of validity: N/A
Approval date: N/A
Date of changes: N/A
Supplementary Materials and Methods: Construction of Retroviral Expression Vectors, Retroviral Infection, and TCGA Dataset Analysis
Document type: Supplementary materials and methods section
Research field: Molecular biology; cancer genomics
Topic: Retroviral vector construction, gene knockdown experiments, and genomic data analysis in cancer
Genes studied: LARP4B; Nf1; p53
Experimental methods: PCR amplification; retroviral infection; shRNA-mediated knockdown; site-directed mutagenesis
Vectors used: pMXs-IRES-Puro; pMXs-IRES-Neomycin; MSCV-LTRmiR30-PIG; pSUPER.retro.neo+gfp
Cell types: U87MG cells; primary astrocytes; immortalized astrocytes; iPS cells
Datasets analyzed: The Cancer Genome Atlas (TCGA)
Cancer types analyzed: Glioblastoma; low-grade glioma; acute myeloid leukemia
Data analysis tools: GISTIC 2.0; Cox regression analysis; two-sample t-test; Benjamini-Hochberg method
Institutions mentioned: Broad Institute
Referenced publications: PLoS One (2013); Cold Spring Harbor Protocols (2013); Proceedings of the National Academy of Sciences (2012); Genome Biology (2011); Cancer Discovery (2012)
Clinical outcomes and prognostic risk scores of advanced renal cell carcinoma samples from TCGA database
Year: 2026
Database: TCGA (The Cancer Genome Atlas)
Disease: Renal cell carcinoma
Document type: Supplementary table
Sample size: 120+
Parameters: Overall survival, age, gender, stage, risk score, risk category
Risk model: Gene combination prognostic model
Stage: Stage III
Target group: Patients with advanced RCC
Data format: Tabular
Topics: m6A-Related lncRNA TCGA