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Broad Clinical Labs
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Human Protein Atlas
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Illumina Inc
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Santa Cruz Biotechnology
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Biotechnology Information
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Human Protein Atlas
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Human Protein Atlas
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Journal: bioRxiv
Article Title: TGF/J Regulated Small GTPase RHOV interact with PEAK1 and drive MYC Expression to Promote Cellular Proliferation, Migration and Etoposide resistance
doi: 10.1101/2025.04.18.649622
Figure Lengend Snippet: (A) Heatmap of differentially expressed genes from RNA-sequencing analysis of A549 cells with stable RHOV knockdown (sh1, sh2) compared to control. Consistent transcriptional alterations across both shRNAs are observed, with enrichment of MYC-related gene signatures among downregulated transcripts. (B) Gene ontology (GO) of differentially expressed genes shows significant downregulation of pathways associated with RNA biosynthesis, mRNA catabolism, ribosomal assembly, and mitotic cell cycle—all known MYC-driven processes. Upregulated pathways include DNA damage response, chromatin organization, and endocytic trafficking. Enrichment scores are represented along with q-values. (C) Gene Set Enrichment Analysis (GSEA) using Hallmark gene sets confirms strong negative enrichment of hallmark MYC target gene sets (V1 and V2) and oxidative phosphorylation genes in RHOV knockdown cells, indicating suppression of both proliferative and metabolic MYC programs. (D) Expression of MYC was compared between high and Low RHOV expressing patients in four NSCLC patients’ datasets. The expression of MYC was significantly higher in high RHOV patients (Mann-Whitney test). (E, F and G) The patients’ samples with high expression of RHOV (which show poor survival, ) from three cohort, (E) EAC, (F) Microarray and (G) TCGA were divided into two groups based on MYC expression. The analysis shows that RHOV high patients with low MYC expression survive significantly better than the RHOV high patients with high MYC expression. The p-values and Hazard ration are shown.
Article Snippet:
Techniques: RNA Sequencing, Knockdown, Control, Phospho-proteomics, Expressing, MANN-WHITNEY, Microarray
Journal: Communications Medicine
Article Title: Autoantibody repertoire analysis in paraneoplastic pemphigus reveals novel targets linked to mucocutaneous blistering and bronchiolitis obliterans
doi: 10.1038/s43856-025-01335-2
Figure Lengend Snippet: a Expression of paraneoplastic pemphigus (PNP) autoantigens in diffuse large B-cell lymphoma (DLBCL), follicular lymphoma, Burkitt’s lymphoma, and HIV-positive cervical cancer. The heatmap displays the proportion of samples with expression levels exceeding 10 RPKM. In addition to PNP autoantigens, the heatmap includes reference genes such as GAPDH (housekeeping gene), KRTAP4-7 (skin-specific), CD3 epsilon (T-cell-specific), and CD19 (B-cell-specific) for comparison. Tumor RNA-sequencing summary statistics were obtained from the NIH Center for Cancer Genomics and the Cancer Genome Characterization Initiative (CGCI), while RNA-seq data for normal tissues (ectocervix, endocervix, and EBV-transformed lymphocytes) were retrieved from the GTEx portal (v6p.v1.1.8). b Autoantibody signal intensities in patients with paraneoplastic pemphigus, stratified by the type of neoplasm. Autoantibodies were measured using a bead-based protein array in patients with paraneoplastic pemphigus (PNP, n = 84) and healthy controls (HC, n = 105). c The heatmap displays the proportion of samples with an autoantibody fluorescence signal >1000, categorized by the type of neoplasm group in patients with paraneoplastic pemphigus ( n = 46). Only neoplasms present in two or more patients are included. The color scale is consistent across heatmaps ( a ) and ( c ).
Article Snippet:
Techniques: Expressing, Immunopeptidomics, Comparison, RNA Sequencing, Transformation Assay, Protein Array, Fluorescence