Journal: Frontiers in Immunology

Article Title: Multi-omics-based subtyping of melanoma suggests distinct immune and targeted therapy strategies

doi: 10.3389/fimmu.2025.1601243

Figure Lengend Snippet: Multi-omics integrative molecular subtyping of melanoma. (A) Determination of the optimal clustering number based on two clustering statistics. (B) Integrative clustering using a fully Bayesian latent variable model identified three distinct clusters, showing overlap with previous TCGA classifications. (C) Distinct molecular patterns across different omics platforms: transcriptome expression, DNA methylation, CNA, and somatic mutation. (D, E) Kaplan–Meier survival plots showing the association of our classification with progression-free survival (PFS) and overall survival (OS).

Article Snippet: DNA methylation data (Illumina HumanMethylation450 BeadChip) were also obtained from UCSC Xena.

Techniques: Biomarker Discovery, Expressing, DNA Methylation Assay, Mutagenesis

Journal: NPJ Aging

Article Title: An epigenetic clock for Xenopus tropicalis

doi: 10.1038/s41514-025-00236-x

Figure Lengend Snippet: A – D DNA methylation clock nested cross validation results on n = 192 frogs. Models ( B ) and ( D ) were constructed to predict the natural logarithm of age. The dotted lines represent predicted age = actual age. MedAE is the median absolute error between predicted and actual age (in years). E Age predictions on a test set of 16 frogs based on a DNA methylation clock trained on the 192 frog training set.

Article Snippet: We collected DNA methylation data from 192 Xenopus tropicalis frogs with known ages from the National Xenopus Resource at the Marine Biological Laboratory (Woods Hole, MA, USA).

Techniques: DNA Methylation Assay, Biomarker Discovery, Construct

Journal: HemaSphere

Article Title: H1‐0 is a specific mediator of the repressive ETV6::RUNX1 transcriptional landscape in preleukemia and B cell acute lymphoblastic leukemia

doi: 10.1002/hem3.70116

Figure Lengend Snippet: H1‐0 is consistently upregulated in preleukemia and BCP‐ALL expressing ETV6::RUNX1 . (A) Principal component analysis (PCA) plot of ETV6::RUNX1 + (E::R) and wild‐type (WT) hiPSC transcriptome profiles based on all detected genes ( n = 16,328). (B) Hierarchical clustering analysis of differentially expressed genes (absolute fold change > 2 and p < 0.05) between ETV6::RUNX1 + and WT hiPSCs detected by RNA‐seq. (C) H1‐0 expression levels determined by RT‐qPCR in ETV6::RUNX1 + and WT hiPSCs subjected to RNA‐seq. Values were normalized to HW8 WT expression levels as well as to GAPDH expression. (D) Representative Western blot analysis of ETV6::RUNX1, H1‐0, ETV6, and β‐actin levels in ETV6::RUNX1 + and WT hiPSCs. (E) H1‐0 levels in HSCs (CD19‐CD34+CD45RA‐), IL7R+ (CD19‐CD34+CD45RA+IL7R+), and pro‐B (CD19+CD34+) cells differentiated from ETV6::RUNX1 + or reverted MIFF3 hiPSCs, and fetal liver cells. Data are derived from an RNA‐seq dataset by Böiers et al. (accession number E‐MTAB‐6382 ¹⁰ ). Data were analyzed for statistical significance using an ordinary one‐way ANOVA (* p < 0.05, ** p < 0.01). H1‐0 levels across two leukemia patient cohorts derived from the (F) PeCan St. Jude database ³⁰ , ³¹ and (G) an expression microarray dataset (accession number GSE87070 ³² ). The number of patients per leukemia entity and mean expression is indicated. Data were analyzed for statistical significance using an ordinary one‐way ANOVA (*** p < 0.001). (H) H1‐0 expression was quantified by RT‐qPCR in PDX samples ( n = 9). Mean expression ± standard deviation is shown. (I) RNA‐seq expression levels of H1‐0 in control and ETV6 shRNA‐transduced REH cells. Data are derived from E‐MTAB‐10308 ¹¹ and are normalized to control shRNA. Mean expression ± standard deviation is indicated. Statistical significance was determined by performing a one‐way ANOWA (*** p < 0.001). (J) Pearson correlation of H1‐0 and RUNX1 expression in healthy bone marrow cells ( n = 71) derived from the MILE study (R2 platform, accession number GSE13159 ³³ ).

Article Snippet: Hence, we analyzed previously published 450K Infinium microarray DNA methylation data comprising patient samples of T‐ALL and six B‐ALL subtypes ( n = 546).

Techniques: Expressing, RNA Sequencing, Quantitative RT-PCR, Western Blot, Derivative Assay, Microarray, Standard Deviation, Control, shRNA

Journal: HemaSphere

Article Title: H1‐0 is a specific mediator of the repressive ETV6::RUNX1 transcriptional landscape in preleukemia and B cell acute lymphoblastic leukemia

doi: 10.1002/hem3.70116

Figure Lengend Snippet: ETV6::RUNX1 induces H1‐0 promoter activation . (A) Schematic representation of the H1‐0 locus, including the 512‐bp region (nucleotides −351 to +161 from TSS) encompassing promoter‐like signature EH38E2163184 (ENCODE). The H1‐0 CpG island (CGI) shore and 450K Infinium array probes are indicated. (B) 293T cells were transfected with a vector encoding the H1‐0 promoter‐like signature indicated in (A) , together with the empty pcDNA3.1 vector or pcDNA3.1 expressing either ETV6::RUNX1 or RUNX1, and a vector expressing Renilla luciferase. Luciferase activities were normalized to Renilla luciferase activity and the empty vector control. Data represent mean values of three independent replicates ± standard deviation. Significance was calculated using an ordinary one‐way ANOVA (*** p < 0.001). Representative protein levels of ETV6::RUNX1, RUNX1, and β‐actin determined by Western blot are shown. (C) Pearson correlation of H1‐0 expression and mean DNA methylation of the H1‐0 CGI shore probes cg07141002 and cg01883777 in leukemia patients (accession number GSE49032 ⁴¹ ). Expression is shown for microarray probe 208886_at. Each dot represents a single patient. (D) H1‐0 DNA methylation in different leukemia entities is visualized as a heatmap with each column corresponding to a single patient (accession number GSE49032 ⁴¹ ). Within each entity, patients are sorted according to mean DNA methylation of CGI shore probes cg07141002 and cg01883777. The total number of patients per entity is indicated.

Article Snippet: Hence, we analyzed previously published 450K Infinium microarray DNA methylation data comprising patient samples of T‐ALL and six B‐ALL subtypes ( n = 546).

Techniques: Activation Assay, Transfection, Plasmid Preparation, Expressing, Luciferase, Activity Assay, Control, Standard Deviation, Western Blot, DNA Methylation Assay, Microarray

Journal: HemaSphere

Article Title: H1‐0 is a specific mediator of the repressive ETV6::RUNX1 transcriptional landscape in preleukemia and B cell acute lymphoblastic leukemia

doi: 10.1002/hem3.70116

Figure Lengend Snippet: H1‐0 expression decreases during hematopoiesis . (A) H1‐0 expression in ETV6::RUNX1 + BCP‐ALL ( n = 6) and healthy B cell precursor stages derived from a published RNA‐seq dataset (accession number GSE115656 ⁴⁵ ). B cell precursor fractions are HSCs (CD34+CD19‐IgM‐), pro‐B cells (CD34+CD19+IgM‐), pre‐B cells (CD34‐CD19+IgM‐) and immature B cells (CD34‐CD19+IgM+). (B) H1‐0 expression in healthy B cell precursor stages derived from a published expression microarray dataset (accession number GSE24759 ⁴⁶ ). B cell precursor fractions are HSCs (CD34+CD38‐), pro‐B cells (CD34+CD10+CD19+), pre‐B cells (CD34‐CD10+CD19+), naïve B cells (CD19+IgD+CD27‐), and mature B cells (CD19+IgD+CD27+). (B, C) Mean expression ± standard deviation is indicated and data was analyzed for statistical significance using an ordinary one‐way ANOVA (* p < 0.05, *** p < 0.001). (C) Min–max‐normalized mean expression per cell type derived from a fetal liver scRNA‐seq dataset (accession number E‐MTAB‐7407 ⁴⁷ ). (D) H1‐0 expression levels across normal B‐lymphoid differentiation distinguishing cell cycle status is depicted in a scRNA‐seq UMAP visualization of B cell precursor cells from bone marrow of eight healthy donors. ⁴⁸

Article Snippet: Hence, we analyzed previously published 450K Infinium microarray DNA methylation data comprising patient samples of T‐ALL and six B‐ALL subtypes ( n = 546).

Techniques: Expressing, Derivative Assay, RNA Sequencing, Microarray, Standard Deviation