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Biology subjects

Woodfin, A. R.

Publications and source records attributed to Woodfin, A. R..

2 recordsLinked to original sources

Discovery and Targeting of a Cryptic Human Proteome

First-in-class therapeutics require first-in-class biology. Yet despite decades of genomic and proteomic cataloging, vast regions of the human transcriptome remain dark and their encoded proteins invisible. Here we present RyboCypher, an integrated RNA-sequencing and AI-assisted proteogenomics platform that systematically maps the RyboCypher-derived "dark" transcriptome to unannotated peptides, predicting and empirically identifying cryptic proteins across the uncharted genome. Applied to cancer cell lines, patient tumors, and matched healthy tissues, RyboCypher resolved [~]8.3 million dark RNA isoforms and [~]16 million candidate ORFs. Interrogating these against [~]0.5 billion MS/MS spectra from cellular proteomics, membrane proteomics, and immunopeptidomics datasets (comprising a total of >8,000 raw MS data files ([~]7TB of MS data), derived from 2,229 patient samples), we empirically identified [~]80,000 cryptic peptides ([~]10,000 cancer-associated or cancer-upregulated) at <1% FDR. Altogether, these datasets establish the CypherAtlas, a comprehensive proteogenomic atlas of an unreported proteome comprising thousands of novel proteins, including membrane proteins with targetable extracellular domains, and intracellular proteins accessible through antigen presentation. By linking dark-RNA transcripts, predicted proteins, and patient-level metadata across RyboDyns proprietary experimental data, CypherAtlas further provides the training substrate for multi-modal models such as DarkCypher, which is being developed to prioritize cryptic targets and to forecast their expression in new patient samples. As proof of therapeutic potential, we disclose evidence for a cancer-associated, cryptic protein expressed from the YBX1 locus, (cryptic YBX1; cYBX1) and demonstrate selective in vitro tumor cell killing through a cryptic peptide-MHC (pMHC) complex derived from this protein with a TCR-mimic (TCRm) antibody when formatted as antibody drug conjugates (ADCs). Together, RyboCypher and CypherAtlas establish the dark proteome as a vast and previously inaccessible reservoir of novel targetable biology, laying the foundation for the next generation of first-in-class therapeutics. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=108 SRC="FIGDIR/small/743124v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@104c385org.highwire.dtl.DTLVardef@1c065ccorg.highwire.dtl.DTLVardef@5b717forg.highwire.dtl.DTLVardef@1788694_HPS_FORMAT_FIGEXP M_FIG C_FIG

genomics↗

Resolving systematic errors in widely-used enhancer activity assays in human cells enables genome-wide functional enhancer characterization

The identification of transcriptional enhancers in the human genome is a prime goal in biology. Enhancers are typically predicted via chromatin marks, yet their function is primarily assessed with plasmid-based reporter assays. Here, we show that two previous observations relating to plasmid-transfection into human cells render such assays unreliable: (1) the function of the bacterial plasmid origin-of-replication (ORI) as a conflicting core-promoter and (2) the activation of a type I interferon (IFN-I) response. These problems cause strongly confounding false-positives and -negatives in luciferase assays and genome-wide STARR-seq screens. We overcome both problems by directly employing the ORI as a core-promoter and by inhibiting two kinases central to IFN-I induction. This corrects luciferase assays and enables genome-wide STARR-seq screens in human cells. Comprehensive enhancer activity profiles in HeLa-S3 cells uncover strong enhancers, IFN-I-induced enhancers, and enhancers endogenously silenced at the chromatin level. Our findings apply to all episomal enhancer activity assays in mammalian cells, and are key to the characterization of human enhancers.

genomics↗