Faculty Opinions recommendation of Retinal cell type DNA methylation and histone modifications predict reprogramming efficiency and retinogenesis in 3D organoid cultures.

Abstract Background The integration of different layers of omics information is an opportunity to tackle the complexity of cardiovascular diseases (CVD) and to identify new predictive biomarkers and potential therapeutic targets. Our aim was to integrate DNA methylation and gene expression data in an effort to identify biomarkers related to cardiovascular disease risk in a community-based population. We accessed data from the Framingham Offspring Study, a cohort study with data on DNA methylation (Infinium HumanMethylation450 BeadChip; Illumina) and gene expression (Human Exon 1.0 ST Array; Affymetrix). Using the MOFA2 R package, we integrated these data to identify biomarkers related to the risk of presenting a cardiovascular event. Results Four independent latent factors (9, 19, 21—only in women—and 27), driven by DNA methylation, were associated with cardiovascular disease independently of classical risk factors and cell-type counts. In a sensitivity analysis, we also identified factor 21 as associated with CVD in women. Factors 9, 21 and 27 were also associated with coronary heart disease risk. Moreover, in a replication effort in an independent study three of the genes included in factor 27 were also present in a factor identified to be associated with myocardial infarction (CDC42BPB, MAN2A2 and RPTOR). Factor 9 was related to age and cell-type proportions; factor 19 was related to age and B cells count; factor 21 pointed to human immunodeficiency virus infection-related pathways and inflammation; and factor 27 was related to lifestyle factors such as alcohol consumption, smoking and body mass index. Inclusion of factor 21 (only in women) improved the discriminative and reclassification capacity of the Framingham classical risk function and factor 27 improved its discrimination. Conclusions Unsupervised multi-omics data integration methods have the potential to provide insights into the pathogenesis of cardiovascular diseases. We identified four independent factors (one only in women) pointing to inflammation, endothelium homeostasis, visceral fat, cardiac remodeling and lifestyles as key players in the determination of cardiovascular risk. Moreover, two of these factors improved the predictive capacity of a classical risk function.

Download Full-text

Neuroblastoma and the epigenome

Cancer and Metastasis Reviews ◽

10.1007/s10555-020-09946-y ◽

2021 ◽

Author(s):

Irfete S. Fetahu ◽

Sabine Taschner-Mandl

Keyword(s):

Dna Methylation ◽

Histone Modifications ◽

Disease Diagnosis ◽

Dna Methyltransferases ◽

Epigenetic Alterations ◽

Aberrant Expression ◽

Tet Proteins ◽

Relative Paucity ◽

Underlying Causes ◽

Aberrant Dna Methylation

AbstractNeuroblastoma (NB) is a pediatric cancer of the sympathetic nervous system and one of the most common solid tumors in infancy. Amplification of MYCN, copy number alterations, numerical and segmental chromosomal aberrations, mutations, and rearrangements on a handful of genes, such as ALK, ATRX, TP53, RAS/MAPK pathway genes, and TERT, are attributed as underlying causes that give rise to NB. However, the heterogeneous nature of the disease—along with the relative paucity of recurrent somatic mutations—reinforces the need to understand the interplay of genetic factors and epigenetic alterations in the context of NB. Epigenetic mechanisms tightly control gene expression, embryogenesis, imprinting, chromosomal stability, and tumorigenesis, thereby playing a pivotal role in physio- and pathological settings. The main epigenetic alterations include aberrant DNA methylation, disrupted patterns of posttranslational histone modifications, alterations in chromatin composition and/or architecture, and aberrant expression of non-coding RNAs. DNA methylation and demethylation are mediated by DNA methyltransferases (DNMTs) and ten-eleven translocation (TET) proteins, respectively, while histone modifications are coordinated by histone acetyltransferases and deacetylases (HATs, HDACs), and histone methyltransferases and demethylases (HMTs, HDMs). This article focuses predominately on the crosstalk between the epigenome and NB, and the implications it has on disease diagnosis and treatment.

Download Full-text

Histone modifications form a cell-type-specific chromosomal bar code that persists through the cell cycle

Scientific Reports ◽

10.1038/s41598-021-82539-z ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

John A. Halsall ◽

Simon Andrews ◽

Felix Krueger ◽

Charlotte E. Rutledge ◽

Gabriella Ficz ◽

...

Keyword(s):

Gene Expression ◽

Cell Cycle ◽

Histone Modifications ◽

Expression Patterns ◽

Cell Types ◽

Cell Type ◽

Bar Code ◽

Genes Encoding ◽

Cell Type Specific ◽

Rolling Windows

AbstractChromatin configuration influences gene expression in eukaryotes at multiple levels, from individual nucleosomes to chromatin domains several Mb long. Post-translational modifications (PTM) of core histones seem to be involved in chromatin structural transitions, but how remains unclear. To explore this, we used ChIP-seq and two cell types, HeLa and lymphoblastoid (LCL), to define how changes in chromatin packaging through the cell cycle influence the distributions of three transcription-associated histone modifications, H3K9ac, H3K4me3 and H3K27me3. We show that chromosome regions (bands) of 10–50 Mb, detectable by immunofluorescence microscopy of metaphase (M) chromosomes, are also present in G1 and G2. They comprise 1–5 Mb sub-bands that differ between HeLa and LCL but remain consistent through the cell cycle. The same sub-bands are defined by H3K9ac and H3K4me3, while H3K27me3 spreads more widely. We found little change between cell cycle phases, whether compared by 5 Kb rolling windows or when analysis was restricted to functional elements such as transcription start sites and topologically associating domains. Only a small number of genes showed cell-cycle related changes: at genes encoding proteins involved in mitosis, H3K9 became highly acetylated in G2M, possibly because of ongoing transcription. In conclusion, modified histone isoforms H3K9ac, H3K4me3 and H3K27me3 exhibit a characteristic genomic distribution at resolutions of 1 Mb and below that differs between HeLa and lymphoblastoid cells but remains remarkably consistent through the cell cycle. We suggest that this cell-type-specific chromosomal bar-code is part of a homeostatic mechanism by which cells retain their characteristic gene expression patterns, and hence their identity, through multiple mitoses.

Download Full-text

EMeth: An EM algorithm for cell type decomposition based on DNA methylation data

Scientific Reports ◽

10.1038/s41598-021-84864-9 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Hanyu Zhang ◽

Ruoyi Cai ◽

James Dai ◽

Wei Sun

Keyword(s):

Dna Methylation ◽

Tumor Cells ◽

T Regulatory Cells ◽

Simulated Data ◽

Cell Types ◽

Computational Method ◽

Methylation Data ◽

Cell Type ◽

A Cell ◽

Type Decomposition

AbstractWe introduce a new computational method named EMeth to estimate cell type proportions using DNA methylation data. EMeth is a reference-based method that requires cell type-specific DNA methylation data from relevant cell types. EMeth improves on the existing reference-based methods by detecting the CpGs whose DNA methylation are inconsistent with the deconvolution model and reducing their contributions to cell type decomposition. Another novel feature of EMeth is that it allows a cell type with known proportions but unknown reference and estimates its methylation. This is motivated by the case of studying methylation in tumor cells while bulk tumor samples include tumor cells as well as other cell types such as infiltrating immune cells, and tumor cell proportion can be estimated by copy number data. We demonstrate that EMeth delivers more accurate estimates of cell type proportions than several other methods using simulated data and in silico mixtures. Applications in cancer studies show that the proportions of T regulatory cells estimated by DNA methylation have expected associations with mutation load and survival time, while the estimates from gene expression miss such associations.

Download Full-text

Epigenetic Cross-Talk between DNA Methylation and Histone Modifications in Human Cancers

Yonsei Medical Journal ◽

10.3349/ymj.2009.50.4.455 ◽

2009 ◽

Vol 50 (4) ◽

pp. 455 ◽

Cited By ~ 111

Author(s):

Yutaka Kondo

Keyword(s):

Dna Methylation ◽

Histone Modifications ◽

Cross Talk ◽

Human Cancers

Download Full-text

Ikaros Is Regulated through Multiple Histone Modifications and Deoxyribonucleic Acid Methylation in the Pituitary

Molecular Endocrinology ◽

10.1210/me.2007-0053 ◽

2007 ◽

Vol 21 (5) ◽

pp. 1205-1215 ◽

Cited By ~ 11

Author(s):

Xuegong Zhu ◽

Sylvia L. Asa ◽

Shereen Ezzat

Keyword(s):

Dna Methylation ◽

Histone Modifications ◽

Cpg Island ◽

Chromatin Accessibility ◽

Dominant Negative ◽

Nurd Complex ◽

Human Pituitary ◽

Untranslated Exon ◽

Exon 1 ◽

Mouse Pituitary

Abstract The transcription factor Ikaros (Ik) is at the center of a functionally diverse chromatin-remodeling network that is critical for the development and regulation of both the immune and endocrine systems. Dominant negative forms of Ik result in neoplastic growth in mouse genetic studies and have been identified in human tumors. Ik modulates chromatin accessibility through associations with members of the NURD complex including histone deacetylase complexes. We show here that Ik expression in mouse pituitary corticotroph cells is itself regulated through histone modifications as well as DNA methylation. Examination of primary human pituitary specimens also identified a correlation of loss of Ik expression with the presence of DNA methylation in the untranslated exon 1 CpG island. These findings have important implications for the understanding of Ikaros’ role in epigenetic functions and suggest a potential role for demethylating agents in the treatment of related disorders.

Download Full-text