Cancer ResearchResearch PaperOpen Access

ALT Cancer Cells Share Telomere End Structure With Normal Cells Despite Rogue Lengthening

END-seq reveals ALT-positive cancer telomeres share canonical 5′ ATC termini with normal cells, but harbor uniquely abundant single-stranded DNA regions.

Wednesday, June 3, 2026 0 views
Published in Elife
A fluorescence microscopy image of cancer cell nuclei with bright telomere FISH spots glowing against dark blue-stained chromatin on a lab slide

Summary

About 15% of cancers lengthen their telomeres through a recombination-based pathway called ALT rather than telomerase. Researchers at the NIH used a high-resolution sequencing method called END-seq to map the precise terminal sequences of chromosomes in ALT-positive cancer cells. They found that despite using a fundamentally different lengthening mechanism, ALT cells maintain the same canonical telomeric end sequence (ATC-5′) seen in normal and telomerase-positive cells, and this is still regulated by the protein POT1. However, ALT cells uniquely harbor extensive single-stranded DNA regions within their telomeres, detectable by a modified S1 nuclease sequencing approach. This ssDNA signature could serve as a novel biomarker to distinguish ALT-positive from ALT-negative cancers and may represent a therapeutic vulnerability.

Detailed Summary

Approximately 15% of human cancers bypass replicative senescence not through telomerase activation but via the alternative lengthening of telomeres (ALT) pathway — a recombination-based mechanism that uses existing telomeric DNA as a template. While ALT has been increasingly studied for its therapeutic vulnerabilities, fundamental questions about the physical structure and sequence composition of ALT telomere ends have remained unanswered, in large part because telomere repeats are notoriously difficult to sequence with precision. This NIH study tackles that gap head-on using END-seq, an unbiased sequencing platform originally designed to map DNA double-strand breaks genome-wide.

The core insight enabling this approach is that chromosome ends structurally resemble one-ended double-strand breaks, which END-seq captures through ligation of biotinylated adapters followed by next-generation sequencing. When applied to telomerase-positive human cell lines (HeLa and RPE1-hTERT), virtually all (99.9%) telomeric END-seq reads mapped to the C-rich strand, confirming that the method faithfully captures the 5′ chromosome terminus. Motif analysis then revealed that 78% of HeLa and 65% of RPE1 chromosome ends terminate with ATC-5′, a finding consistent with prior STELA-based measurements on defined chromosome ends. Crucially, this ATC-5′ bias was validated across multiple human cell lines, mouse tissues, and a canine cell line, indicating evolutionary conservation of this terminal sequence.

To confirm that END-seq genuinely reads the physical 5′ terminus rather than reporting a sequencing artifact, the team treated chromatin in agarose plugs with T7 exonuclease prior to END-seq. T7 progressively resects 5′ ends of double-stranded DNA, and as predicted, this treatment significantly randomized the detected terminal sequences, reducing the ATC-5′ bias toward an equal distribution across the six possible telomeric hexamer phases. Conversely, depletion of POT1 — the shelterin component known to regulate the 3′ overhang and indirectly control 5′ end precision — also partially randomized the terminal sequence. These paired experiments provide strong mechanistic and technical validation that END-seq is reading true chromosomal termini.

When END-seq was applied to a panel of ALT-positive cell lines (U2OS, SAOS2, VA13, and G292), the same ATC-5′ terminal bias was observed as in telomerase-positive cells (ranging from ~55–78%), and POT1 depletion similarly randomized the terminus in ALT cells. This is a striking finding: despite the chaotic, recombination-driven nature of ALT telomere elongation, the final processed chromosome end retains canonical structure and POT1-dependent regulation, suggesting that end-processing is decoupled from the mechanism of telomere elongation.

The study's second major contribution involves mapping single-stranded DNA (ssDNA) within ALT telomeres using S1 nuclease coupled with END-seq (S1-END-seq). S1 nuclease degrades single-stranded nucleic acids, including ssDNA bubbles within otherwise duplex DNA. In non-ALT cells, S1 treatment at telomeres produced minimal signal. In contrast, all four ALT-positive cell lines showed markedly elevated S1-END-seq signal at telomeres, indicating substantially more ssDNA within ALT telomeres. Strand-specific analysis showed this ssDNA was enriched on the G-rich strand, consistent with displacement loops (D-loops) or other recombination intermediates. This ssDNA signature robustly distinguished ALT-positive from ALT-negative cell lines and may represent both a biomarker for ALT status and a targetable vulnerability, since extensive telomeric ssDNA could sensitize cells to agents that exploit replication stress or RPA exhaustion.

Key Findings

  • 99.9% of telomeric END-seq reads map to the C-rich strand in telomerase-positive human cells, confirming END-seq specifically captures 5′ chromosome termini
  • 78% of HeLa and 65% of RPE1-hTERT chromosome ends terminate with the canonical ATC-5′ sequence, consistent with prior STELA measurements and conserved across human, mouse, and canine cells
  • ALT-positive cell lines (U2OS, SAOS2, VA13, G292) show the same ATC-5′ terminal bias (~55–78%) as telomerase-positive cells, despite using recombination-based telomere lengthening
  • T7 exonuclease pre-treatment significantly randomized the ATC-5′ bias toward equal hexamer distribution, validating that END-seq reads true physical chromosome termini
  • POT1 depletion in both telomerase-positive and ALT-positive cells partially randomized the 5′ terminus, demonstrating POT1-dependent end regulation is conserved across telomere maintenance mechanisms
  • S1-END-seq revealed markedly elevated single-stranded DNA regions within telomeres of all four ALT-positive cell lines compared to non-ALT controls, enriched on the G-rich strand
  • Telomeric ssDNA abundance robustly distinguishes ALT-positive from ALT-negative cell lines, establishing it as a potential biomarker and therapeutic vulnerability

Methodology

The study used END-seq — a biotin-adapter ligation and next-generation sequencing method originally developed for DSB mapping — applied to agarose-embedded chromatin from multiple human, mouse, and canine cell lines, plus mouse tissues. ALT-positive lines included U2OS, SAOS2, VA13, and G292; telomerase-positive controls included HeLa, RPE1-hTERT, and others. S1 nuclease-coupled END-seq (S1-END-seq) was used to map single-stranded DNA regions. Validation experiments included T7 exonuclease pre-treatment to randomize 5′ ends and doxycycline-inducible shRNA knockdown of POT1 (confirmed by qPCR); statistical comparisons used Kullback–Leibler divergence to assess terminal sequence distribution shifts.

Study Limitations

The study is conducted entirely in cell lines and mouse tissues, with no patient tumor samples, limiting direct clinical translation of the ssDNA biomarker concept. The full-text truncation prevents reporting all statistical effect sizes for every cell line comparison, and the mechanistic basis for why ALT recombination generates G-rich ssDNA — whether from D-loops, R-loops, or other intermediates — is not fully resolved. No conflicts of interest are declared; funding is solely from the NIH Intramural Research Program.

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