Goldberg D et al., Cell Genomics - This episode reviews an attached article PDF that was heavily encoding‑corrupted and largely unreadable. The file contains repeated nonstandard tokens and garbled text that prevented reliable extraction of aims, methods, or results. We describe the limits encountered and what is needed to produce a full Base by Base summary. Key terms: encoding corruption, corrupted PDF, unreadable text, data extraction, request readable file.

Study Highlights:
The provided PDF is heavily corrupted by encoding issues and contains mostly unreadable characters, preventing extraction of study aims, methods, and results. Recurrent tokens (for example “JUF yo…”, “Moz{ytm”) appear but are not interpretable as standard scientific metadata. Because the core text is not legible, no mechanistic or clinical findings could be validated from this file. Please supply a readable PDF or plain‑text version for a complete episode summary.

Conclusion:
The PDF could not be decoded into usable scientific content; provide a clear, correctly encoded file to generate a full PaperCast Base by Base episode.

Music:
Enjoy the music based on this article at the end of the episode.

Article title:
Scalable screening of ternary-code DNA methylation dynamics associated with human traits

First author:
Goldberg D

Journal:
Cell Genomics

DOI:
10.1016/j.xgen.2025.100929

Reference:
Goldberg D.C., Cloud C., Lee S.M., Barnes B., Gruber S., Kim E., et al.. Scalable screening of ternary-code DNA methylation dynamics associated with human traits. Cell Genomics, 5, 100929. (2025). https://doi.org/10.1016/j.xgen.2025.100929

License:
This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/

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On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.

Episode link: https://basebybase.com/episodes/papercast-base-by-base-70-encoding-corrupted

QC:
This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-09.

QC Scope:
- article metadata and core scientific claims from the narration
- excludes analogies, intro/outro, and music
- transcript coverage: Audited major scientific themes in the transcript: epigenetic modifications and Turnary code concept, MSA design and BCE protocol, tissue-specific methylation patterns, aging clocks, blood-based cell-type deconvolution, brain and immune cell profiling, and study limitations.
- transcript topics: Epigenetic modifications: 5mC and 5hmC dynamics; Methylation Screening Array (MSA) design and targets; Bisulfite conversion limitations and APOBEC-based deamination (BACE protocol); Turnary code concept: tri-state methylation encoding; Tissue-specific distribution and roles of 5hmC; Epigenetic clocks and age prediction

QC Summary:
- factual score: 10/10
- metadata score: 10/10
- supported core claims: 8
- claims flagged for review: 0
- metadata checks passed: 4
- metadata issues found: 0

Metadata Audited:
- article_doi
- article_title
- article_journal
- license

Factual Items Audited:
- Existence of a tri-state DNA methylation encoding (5mC, 5hmC, unmodified cytosine)
- MSA design with 284,317 unique probes (50% known trait markers, 50% cell-identity markers)
- BACE protocol (bisulfite + APOBEC) enables distinction of 5mC vs 5hmC vs unmodified cytosine via dual readouts
- 5hmC is tissue-specific, enriched in CNS, lowest in colon/lymph nodes
- 5hmC accumulation with age linked to epigenetic clocks; clocks partly driven by 5mC changes
- Blood-based deconvolution demonstrates changes in immune cell populations with age and sex (64 samples; CD4+ T decrease, neutrophil increase; sex differences in CD8+ T and NK cells

QC result: Pass.