Multi-omic long-read sequencing reveals nucleosome control of transcriptional fidelity at the isoform level
Bai, G.; Dhillon, N.; Meissner, B.; Felton, C.; Heath, H. D.; Boeger, H.; Brooks, A. N.
Show abstract
Transcription and RNA processing are tightly coupled to chromatin organization, yet how nucleosome positioning is coordinated across the promoter and gene body to shape alternative isoform expression remains poorly understood. This question has been difficult to address because short-read chromatin profiling cannot simultaneously capture promoter and gene-body chromatin states on the same DNA molecule, and short-read RNA sequencing cannot resolve full-length transcripts without requiring computational assembly. To address this, we deleted two conserved chromatin remodelers, ISW1 and CHD1, in Saccharomyces cerevisiae and profiled chromatin fibers, nascent RNA, and full-length mature RNA using Oxford Nanopore long-read sequencing. We developed EpiFLAIR, a computational framework that assigns discrete long-range chromatin states across entire genes and integrates these states with isoform-level transcriptional outputs. Using EpiFLAIR, we show that single-molecule chromatin states together with sequence motifs are strong predictors of alternative TSS isoform expression. Loss of ISW1 and CHD1 produced divergent transcriptional changes by activating transcriptionally silenced promoters while repressing active ones. Single-molecule chromatin profiling suggested that this redistribution of transcriptional activity arose, in part, from an anticorrelation between gene-body and promoter chromatin accessibility along the same chromatin fiber, a finding uniquely enabled by long-read single-molecule resolution. Furthermore, disruption of regular nucleosome spacing impaired RNAPII processivity and co-transcriptional splicing, consequently altering mature RNA levels and splicing isoform composition. Together, our findings demonstrate that nucleosomes maintain transcriptional fidelity during initiation, elongation, and splicing to regulate isoform expression. More broadly, long-read single-molecule chromatin profiling represents a powerful approach for linking chromatin organization to isoform-level gene regulation.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Population-scale study of eRNA transcription reveals bipartite functional enhancer architecture 97%
- Dissecting splicing decisions and cell-to-cell variability with designed sequence libraries 96%
- Prediction and functional interpretation of inter-chromosomal genome architecture from DNA sequence with TwinC 95%
Similar papers in this journal
- Nascent chromatin occupancy profiling reveals locus and factor specific chromatin maturation dynamics behind the DNA replication fork 96%
- Epigenetic characterization of pseudogenes across human tissues 95%
- High-resolution mapping of regulatory element interactions and genome architecture using ARC-C 95%
Similar papers in this journal
- Systematic identification of human SNPs affecting regulatory element activity 95%
- G-quadruplexes are promoter elements controlling nucleosome exclusion and RNA polymerase II pausing 94%
- cis-Regulatory Chromatin Contacts in Neural Cells Reveal Contributions of Genetic Variants to Complex Neurological Disorders 94%
Similar papers in this journal
- Linker histones regulate fine-scale chromatin organization and modulate developmental decisions in Arabidopsis 95%
- A Mammalian Genomic Signature Shaped by Single Nucleotide Variants Controlling Transcriptome Integrity and Diversity 94%
- RADAR: annotation and prioritization of variants in the post-transcriptional regulome of RNA-binding proteins 94%
Similar papers in this journal
- The nucleosome acidic patch directly interacts with subunits of the Paf1 and FACT complexes and controls chromatin architecture in vivo 96%
- Allele-specific genomics decodes gene targets and mechanisms of the non-coding genome 96%
- Massively parallel reporter assay-informed modeling improves prediction of context-specific enhancer-gene regulatory interactions 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.