# Machine-guided design of cell-type-targeting cis-regulatory elements

*PRI Rank #3 · Topics and Trends in Most Cited Genomics and Chromatin Dynamics Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/genomics-and-chromatin-dynamics/2026/rank-3*

| Field | Value |
| --- | --- |
| Rank | #3 |
| 18m citations | 112 |
| Journal | Nature |
| Year | 2024 |
| DOI | 10.1038/s41586-024-08070-z |
| Corresponding authors | Sager J. Gosai, Rodrigo Castro, Steven K. Reilly, Ryan Tewhey |
| Institution | Broad Institute of MIT and Harvard, United States |

**Ranking page:** [Topics and Trends in Most Cited Genomics and Chromatin Dynamics Papers, Class of 2026](https://pri.pepkio.com/top-papers/genomics-and-chromatin-dynamics/2026)

**Paper link:** [10.1038/s41586-024-08070-z](https://doi.org/10.1038/s41586-024-08070-z)

## Topics

Cis-regulatory elements · Cell type specificity · Deep learning models · in silico optimization · massively parallel reporter assays · Regulatory sequence design · tissue-specific gene expression · motif vocabulary · off-target activity reduction · regulatory code engineering · in vivo CRE validation · therapeutic CRE applications · Regulatory sequence design · cell-type-targeting sequences · transcriptional specificity

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Genomics and Chromatin Dynamics Papers, Class of 2026. https://pri.pepkio.com/top-papers/genomics-and-chromatin-dynamics/2026. Accessed 2026-10-28.

Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459
```