Allelic Transcription Factor binding shape transcriptional kinetics in human cell lines
Jin, B.; Feng, H.; Bush, W.
Show abstract
Gene expression from bulk RNA-seq studies is an average measurement between two chromosomes and across cell populations. Both allelic and cell-to-cell heterogeneity in gene expression results from promoter bursting patterns that repeatedly alternate between an activated and inactivated state. Increased cell-to-cell heterogeneity in gene expression has been associated with aging and stem cell pluripotency. However, studies of bursting kinetics and their molecular mechanism are relatively limited in human cells compared to other species due to laborious single-molecule experiments. Here, we systematically investigate the regulatory effect of genetic variants and transcription factor (TF) binding on transcriptional kinetics at the single chromosome level with GM12878. We found that the transcription initiation rate and burst frequency correlate most with eQTL effect sizes among transcriptional kinetics, which suggests that eQTLs affect average gene expression mainly through altering burst kinetics. We further found that [~]90% of the variance of burst frequency can be explained by TF occupancy in phase with the core promoter. We identified and replicated several examples where eQTL or GWAS catalog loci perturb TF binding affinity and are consequently associated with the change of burst kinetics.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- An integrative view of the regulatory and transcriptional landscapes in mouse hematopoiesis 96%
- Dynamic Analysis of Alternative Polyadenylation from Single-Cell RNA-Seq(scDaPars) Reveals Cell Subpopulations Invisible to Gene Expression Analysis 95%
- Iterative Epigenomic Analyses in the Same Single Cell 95%
Similar papers in this journal
- Transcription factor binding process is the primary driver of noise in gene expression 94%
- Tissue specificity-aware TWAS (TSA-TWAS) framework identifies novel associations with metabolic, immunologic, and virologic traits in HIV-positive adults 94%
- Probabilistic classification of gene-by-treatment interactions on molecular count phenotypes 94%
Similar papers in this journal
- The Trouble with Triples: Examining the Impact of Measurement Error in Mediation Analysis 94%
- Statistical analysis of spatially resolved transcriptomic data by incorporating multi-omics auxiliary information 93%
- Differences in evolutionary accessibility determine which equally effective regulatory motif evolves to generate pulses 93%
Similar papers in this journal
- Statistical inference reveals the role of length, breathing, and nucleotide identity in V(D)J nucleotide trimming 95%
- Coverage-dependent bias creates the appearance of binary splicing in single cells 95%
- Robust and annotation-free analysis of alternative splicing across diverse cell types in mice 94%
"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.