The full transcription of a colorectal cancer-associated eRNA is confirmed, whose elevated plasma levels, diagnostic performance, and postoperative reduction support its potential as a noninvasive biomarker for colon cancer detection and monitoring.
Abstract
Abstract Enhancer RNAs (eRNAs) contribute to gene expression specificity, yet their expression patterns at single-cell resolution remain poorly understood. Across 184 329 high-quality single cells from 187 full-length single-cell RNA-seq datasets, we identified 85 977 human and 82 727 mouse eRNAs, which were sparsely detected at the single-cell level (<5% in humans and <8% in mice) but showed high intercellular heterogeneity and contributed substantially to lineage-specific marker repertoires, accounting for up to 33.5% of human and 46.5% of mouse lineage markers. Through systematic analysis of eRNA expression patterns in embryonic development, brain tissues, and cancer, cell-specific eRNAs in different cell types were identified and corresponding regulatory networks were constructed. Our results indicate that eRNAs play important roles in diverse biological processes through modulation of gene expression. Finally, RACE confirmed the full transcription of a colorectal cancer-associated eRNA, whose elevated plasma levels, diagnostic performance, and postoperative reduction support its potential as a noninvasive biomarker for colon cancer detection and monitoring. Collectively, this study provides a comprehensive single-cell landscape of eRNA expression and offers a valuable resource for understanding eRNA-mediated regulatory mechanisms.
The findings conservatively indicate that Smart-Seq may not be good at analyzing molecular diversity and that the results need to be interpreted with caution.
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An integrative single cell framework is developed to reconstruct the mouse DNT cell landscape across tissues using multiple public single cell RNA sequencing datasets and provides a generalizable integrative strategy for reconstructing and characterizing rare immune cell populations that are insufficiently represented...
Jun Zhao, Jiang Zhu, Jian Zhang· International Journal of Mol...· 0 citations
Mapping how genetic perturbations influence cell fate is key to understanding human development and disease. Here, we developed a massively parallel single-cell CRISPR (scCRISPR) screening platform in primary human hematopoietic stem and progenitor cells (HSPCs), profiling 322 regulators across 172,382 single-perturbed...
Understanding gene regulation in the brain is essential for defining the genetic basis of neurologic disease. Cis-regulatory elements (CREs) regulate gene expression, but their function and evolution depend on sequence and cis- and trans-regulatory context. We generated single-nucleus RNA- and ATAC-seq data from cortex...
Ashlyn G. Anderson, B. Rogers, Erin A. Barinaga et al.· Cell Genomics· 0 citations
Background Hematopoietic stem cells (HSCs) have the unique ability to produce all mature cell types in the blood and understanding the mechanisms governing their differentiation and renewal is a driving question in stem cell biology. While single-cell RNA sequencing has transformed our view of human hematopoiesis, mRNA...
J. Gollin, N. García-Gisbert, Tomoya Isobe et al.· bioRxiv· 0 citations
Diverse human cell types establish specialized functions through lineage- and context-specific regulatory programs. Interpreting non-coding genetic risk requires integrated multi-omic reference maps that directly connect regulatory DNA to cellular expression across human tissues. Here we present a single-nucleus multi-...
Kai-Li Fan, Amrita Sule, A. Guillaumet-Adkins et al.· bioRxiv· 0 citations
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