G4 SeqEdit
G4-seq, also spelled G4-seq or G4 sequencing, is a high-throughput method aimed at mapping the genome-wide distribution of G-quadruplex structures (G4s) in DNA. These noncanonical four-stranded formations arise in guanine-rich regions and are thought to influence vital processes such as transcription, replication, and genome stability. By combining chemical or ionic conditions that promote G4 formation with sequencing readouts, G4-seq seeks to translate in vitro folding into a genome-wide map that researchers can compare across cell types and species. The technique sits at the intersection of fundamental biology and practical genomics, offering a lens into how DNA structure can shape gene regulation and chromosomal architecture.
G4-seq has become part of a broader toolkit for understanding genome structure beyond the linear sequence. It complements approaches that identify potential G4 motifs computationally, as well as methods that assess G4s in living cells, such as antibody-based mapping of G4-binding proteins. The method has spurred conversations about how much of the G4 landscape observed under laboratory conditions reflects the real, dynamic situation inside cells, and what functional implications those structures may have in health and disease. In the years since its introduction, G4-seq has stimulated a wave of studies examining G4s in promoters, regulatory elements, and telomeric regions, highlighting both potential regulatory roles and the limitations of inferring function from structure alone.
History G4-seq emerged from efforts to chart noncanonical DNA structures that go beyond the familiar double helix. A landmark development in this area was the realization that guanine-rich sequences can form stable four-stranded G-quadruplexes under certain conditions. To translate these structures into a genome-wide readout, researchers devised a sequencing-based approach that exploits the tendency of polymerases to stall or misread DNA when a stable G4 forms in the template. In practice, libraries are prepared under conditions that either promote or suppress G4 formation—for example, using potassium ions (K+) to encourage G4 stabilization and lithium ions (Li+) as a control—then sequenced on standard platforms. The resulting read patterns are analyzed to locate genomic regions where G4s are likely to form. See also G-quadruplex and DNA sequencing for related background.
Methodology At a high level, G4-seq involves two parallel experiments that differ in their propensity to form G4 structures. In one condition, the DNA is exposed to ions or ligands that support G4 formation, increasing the likelihood that polymerase encounters a G4 and stalls or introduces characteristic sequencing signatures. In the control condition, conditions are chosen to minimize G4 formation. High-throughput sequencing, typically on short-read platforms such as Illumina, captures where these structural impediments occur. Bioinformatic analysis then contrasts the two data sets to identify enriched regions that correlate with potential G4 formation. The resulting map highlights candidate G4s across promoters, gene bodies, telomeres, and other genomic features. See G-quadruplex for structural details and ChIP-seq as a related in vivo approach to mapping DNA-binding events.
Applications G4-seq has been used to survey the prevalence of G4-forming sequences across genomes and to explore their relationship with gene regulation and replication dynamics. For example, G4 motifs in promoter regions and near transcription start sites have been a focus of interest because of their potential to modulate transcriptional activity. Regions such as the promoters of oncogenes (e.g., c-MYC) and other regulatory elements have attracted attention for possible G4-mediated effects on gene expression. The method also intersects with telomere biology, since telomeric DNA is rich in guanine repeats capable of forming G4s that can influence replication and telomerase activity. Researchers frequently compare G4-seq maps with other data types, including chromatin state maps (chromatin) and replication timing profiles, to infer functional patterns. See telomere and gene regulation for related concepts.
Limitations and debates As with any technique that probes DNA structure outside of the intact cellular context, G4-seq faces questions about how well its signals reflect in vivo reality. Critics point out that in vitro stabilization of G4s may not capture the dynamic folding landscape present in living cells, where factors such as chromatin compaction, transcriptional activity, and the presence of G4-binding proteins can alter G4 formation. Consequently, some scientists view G4-seq as a powerful map of potential G4-forming sites rather than a definitive record of all biologically active G4s. To address this, researchers often integrate G4-seq data with in vivo methods like BG4 ChIP-seq, which uses G4-specific antibodies to map G4s in cells, and with functional experiments to test regulatory consequences. See BG4 (antibody) and ChIP-seq for related methods and discussions.
Controversies surrounding interpretation often focus on the functional relevance of detected G4s. While many mapped regions align with known regulatory features, others argue that not every G4-ready site exerts a measurable effect on transcription or replication under normal conditions. Proponents emphasize that G4s are part of an evolving toolkit of genome regulation, potentially contributing to context-dependent regulation, genome stability, or responses to cellular stress. Critics caution against overstating causal roles without direct functional validation. See c-MYC and KRAS for case studies where G4s have been proposed to influence oncogene regulation, and genome or genomics for broader context.
See also - G-quadruplex - DNA sequencing - Next-generation sequencing - telomere - c-MYC - KRAS - ChIP-seq - BG4 (antibody) - genomics