Profiling of transcribed cis-regulatory elements in single cells
Moody, J.; Kouno, T.; Suzuki, A.; Shibayama, Y.; Terao, C.; Chang, J.-C.; Lopez-Redondo, F.; Yip, C. W.; Ando, Y.; Yamamoto, K.; Carninci, P.; Shin, J. W.; Hon, C.-C.
Show abstract
Profiling of cis-regulatory elements (CREs, mostly promoters and enhancers) in single cells allows the interrogation of the cell-type and cell-state-specific contexts of gene regulation and genetic predisposition to diseases. Here we demonstrate single-cell RNA-5'end-sequencing (sc-end5-seq) methods can detect transcribed CREs (tCREs), enabling simultaneous quantification of gene expression and enhancer activities in a single assay at no extra cost. We showed enhancer RNAs can be detected using sc-end5-seq methods with either random or oligo(dT) priming. To analyze tCREs in single cells, we developed SCAFE (Single Cell Analysis of Five-prime Ends) to identify genuine tCREs and analyze their activities (https://github.com/chung-lab/scafe). As compared to accessible CRE (aCRE, based on chromatin accessibility), tCREs are more accurate in predicting CRE interactions by co-activity, more sensitive in detecting shifts in alternative promoter usage and more enriched in diseases heritability. Our results highlight additional dimensions within sc-end5-seq data which can be used for interrogating gene regulation and disease heritability.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Enhancer regulatory networks globally connect non-coding breast cancer loci to cancer genes 97%
- Comprehensive Benchmarking of CITE-seq versus DOGMA-seq Single Cell Multimodal Omics 97%
- DEMINERS enables clinical metagenomics and comparative transcriptomic analysis by increasing throughput and accuracy of nanopore direct RNA sequencing 96%
Similar papers in this journal
- Linking candidate causal autoimmune variants to T cell networks using genetic and epigenetic screens in primary human T cells. 98%
- Prioritization of autoimmune disease-associated genetic variants that perturb regulatory element activity in T cells 98%
- Dynamic network-guided CRISPRi screen reveals CTCF loop-constrained nonlinear enhancer-gene regulatory activity in cell state transitions 97%
"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.