PubMed HealthSearch

PubMed · 42423046

Regulation of TET function by PROSER1 in development and hematologic malignancies.

Abstract

Ten eleven translocation (TET) proteins are central regulators of DNA methylation homeostasis and play essential roles in development and disease, including hematopoietic malignancies. Among the three TET family members, mutations in TET2 are frequently observed in hematologic disorders. TET enzymes catalyze the iterative oxidation of 5-methylcytosine (5mC) to 5-hydroxymethylcytosine (5hmC) and further oxidized derivatives, enabling DNA demethylation. Beyond catalysis, TET proteins also perform important non-enzymatic functions mediated through interactions with diverse protein partners, highlighting the importance of defining their regulatory interactome. Previous studies identified several TET-associated factors, including O-Linked N-acetylglucosamine transferase (OGT), members of the Drosophila behavior/human splicing (DBHS) protein family, and proline and serine-rich protein 1 (PROSER1). However, these interactions were largely considered independently. Recent findings now demonstrate that TET proteins, OGT, PROSER1, and DBHS proteins assemble into a higher-order regulatory unit termed the TOPD (TET-OGT-PROSER1-DBHS) complex. In this review, we discuss how TOPD provides a conceptual framework for understanding multicomponent regulation of TET function, spatial control of DNA demethylation, and maintenance of epigenetic homeostasis, with implications for developmental syndromes and hematopoiesis.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Xiang Li, Kasper D Rasmussen. 2026-07-09. Regulation of TET function by PROSER1 in development and hematologic malignancies.. https://doi.org/10.1080/17501911.2026.2698006

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans