Biology subjects

Gurkan, J. K.

Publications and source records attributed to Gurkan, J. K..

3 recordsLinked to original sources

bioRxiv2026

Maintenance DNA methylation is necessary for age-related alterations in regulatory T cell transcriptional and DNA methylation signatures

CD4+FOXP3+ regulatory T (Treg) cells maintain self-tolerance, restrain immune responses during inflammatory stimuli, and promote tissue function and repair. Treg cell lineage identity, stability, and function depend on specific DNA methylation patterns maintained by the epigenetic regulator, UHRF1. Aging disrupts DNA methylation patterns necessary for Treg cell-mediated lung repair in a cell-autonomous manner. Nevertheless, whether maintenance DNA methylation is necessary for age-related Treg cell transcriptional and methylation programs is unknown. Here, we performed transcriptional and DNA methylation profiling on young and old Treg cells isolated from mice with chimeric Treg cell-specific loss of UHRF1. We observed cell-autonomous, age-related alterations in transcriptional and DNA methylation signatures that were dependent on UHRF1. We conclude that maintenance DNA methylation is required for age-related alterations in Treg cell transcriptional and DNA methylation signatures.

immunology↗

bioRxiv2025

Maintenance DNA methylation is required for induced regulatory T cell reparative function following viral pneumonia

FOXP3+ natural regulatory T cells (nTregs) promote resolution of inflammation and repair of epithelial damage following viral pneumonia-induced lung injury, thus representing a cellular therapy for patients with acute respiratory distress syndrome (ARDS). Whether in vitro induced Tregs (iTregs), which can be rapidly generated in substantial numbers from conventional T cells, also promote lung recovery is unknown. nTregs require specific DNA methylation patterns maintained by the epigenetic regulator, ubiquitin-like with PHD and RING finger domains 1 (UHRF1). Here, we tested whether iTregs promote recovery following viral pneumonia and whether iTregs require UHRF1 for their pro-recovery function. We found that adoptive transfer of iTregs to mice with influenza virus pneumonia promotes lung recovery and that loss of UHRF1-mediated maintenance DNA methylation in iTregs leads to reduced engraftment and a delayed repair response. Transcriptional and DNA methylation profiling of adoptively transferred UHRF1-deficient iTregs that had trafficked to influenza-injured lungs demonstrated transcriptional instability with gain of effector T cell lineage-defining transcription factors. Strategies to promote the stability of iTregs could be leveraged to further augment their pro-recovery function during viral pneumonia and other causes of ARDS.

immunology↗

bioRxiv2024

Novel enzyme-based reduced representation method for DNA methylation profiling with low inputs

DNA methylation at cytosine-phospho-guanine (CpG) residues is a vital biological process that regulates cell identity and function. Although widely used, bisulfite-based cytosine conversion procedures for DNA methylation sequencing require high temperature and extreme pH, which lead to DNA degradation, especially among unmethylated cytosines. Enzymatic methylation sequencing (EM-seq), an enzyme-based cytosine conversion method, has been proposed as a less biased alternative for methylation profiling. Compared to bisulfite-based methods, EM-seq boasts greater genome coverage with less GC bias and has the potential to cover more CpGs with the same number of reads (i.e., higher signal-to-noise ratio). Reduced representation approaches enrich samples for CpG-rich genomic regions, thereby enhancing throughput and cost effectiveness. We hypothesized that enzyme-based technology could be adapted for reduced representation methylation sequencing to enable high-resolution DNA methylation profiling on low-input samples, including those obtained from clinical specimens. We leveraged the well-established differences in methylation profile between mouse CD4+ T cell populations to compare the performance of a novel reduced representation EM-seq (RREM-seq) procedure against an established reduced representation bisulfite sequencing (RRBS) protocol. While the RRBS method failed to generate reliable DNA libraries when using <2 ng of DNA (equivalent to DNA from around 350 cells), the RREM-seq method successfully generated reliable DNA libraries from 1-25 ng of mouse and human DNA. Ultra-low-input (<2-ng) RREM-seq libraries final concentration, regulatory genomic element coverage, and methylation status within lineage-defining Treg cell-specific super-enhancers were comparable to RRBS libraries with more than 10-fold higher DNA input. RREM-seq also successfully detected lineage-defining methylation differences between alveolar Tconv and Treg cells obtained from mechanically ventilated patients with severe SARS-CoV-2 pneumonia. Our RREM-seq method enables single-nucleotide resolution methylation profiling using low-input samples, including from clinical sources.

genomics↗