The DOI matches its Crossref record; 47 of the 48 references it cites were found in a registry or an index.
Genome-Wide Quantitative Enhancer Activity Maps Identified by STARR-seq
Abstract
Genomic enhancers are important regulators of gene expression, but their identification is a challenge, and methods depend on indirect measures of activity. We developed a method termed STARR-seq to directly and quantitatively assess enhancer activity for millions of candidates from arbitrary sources of DNA, which enables screens across entire genomes. When applied to the Drosophila genome, STARR-seq identifies thousands of cell type-specific enhancers across a broad continuum of strengths, links differential gene expression to differences in enhancer activity, and creates a genome-wide quantitative enhancer map. This map reveals the highly complex regulation of transcription, with several independent enhancers for both developmental regulators and ubiquitously expressed genes. STARR-seq can be used to identify and quantify enhancer activity in other eukaryotes, including humans.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In contrast with MPRAs relying on re-synthesis of candidate sequences, genome-wide ‘shotgun MPRAs’108,174,183,188 nicely avoid a priori assumptions about which sequences to test.”
From Towards a comprehensive catalogue of validated and target-linked human enhancers (2020) · cites this paper as [174]
In the citing paper
“Finally, evidence from multiple sources including reporter assays [169, 175, 239, 240], CRISPR [240–242], chromatin mapping [243, 244] and population genetics analysis [207, 245] suggests that certain promoters, termed ‘epromoters’, can also function as enhancers (reviewed in [246]).”
From Transcriptional enhancers and their communication with gene promoters (2021) · cites this paper as [169]
Citations
Cites
BEDTools: a flexible suite of utilities for comparing genomic features
Quinlan, A. R., & Hall, I. M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq033 · Cited by 27,437
Model-based Analysis of ChIP-Seq (MACS)
Zhang, Y., Liu, T., Meyer, C. A., Eeckhoute, J., Johnson, D. S., Bernstein, B. E., Nusbaum, C., Myers, R. M., Brown, M., Li, W., et al. (2008) · Genome Biology · doi:10.1186/gb-2008-9-9-r137 · Cited by 18,386
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
Mapping and quantifying mammalian transcriptomes by RNA-Seq
Mortazavi, A., Williams, B. A., McCue, K., Schaeffer, L., & Wold, B. (2008) · Nature Methods · doi:10.1038/nmeth.1226 · Cited by 13,696
The Human Genome Browser at UCSC
Kent, W. J., Sugnet, C. W., Furey, T. S., Roskin, K. M., Pringle, T. H., Zahler, A. M., & Haussler, A. D. (2002) · Genome Research · doi:10.1101/gr.229102 · Cited by 10,400
Targeted gene expression as a means of altering cell fates and generating dominant phenotypes
Brand, A. H., & Perrimon, N. (1993) · Development · doi:10.1242/dev.118.2.401 · Cited by 9,510
Tandem repeats finder: a program to analyze DNA sequences
Benson, G. (1999) · Nucleic Acids Research · doi:10.1093/nar/27.2.573 · Cited by 9,374
The Genome Sequence of Drosophila melanogaster
Adams, M. D., Celniker, S., Holt, R. A., Evans, C. A., Gocayne, J. D., Amanatides, P. G., Scherer, S. E., Li, P. W., Hoskins, R. A., Galle, R. F., et al. (2000) · Science · doi:10.1126/science.287.5461.2185 · Cited by 5,902
Histone H3K27ac separates active from poised enhancers and predicts developmental state
Creyghton, M. P., Cheng, A. W., Welstead, G. G., Kooistra, T., Carey, B. W., Steine, E. J., Hanna, J., Lodato, M. A., Frampton, G. M., Sharp, P. A., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1016071107 · Cited by 4,302
miRBase: integrating microRNA annotation and deep-sequencing data
Kozomara, A., & Griffiths-Jones, S. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkq1027 · Cited by 3,634
Cited by
Sorted by citations
Modification of Enhancer Chromatin: What, How, and Why?
Calo, E., & Wysocka, J. (2013) · Molecular Cell · doi:10.1016/j.molcel.2013.01.038 · Cited by 1,457
Transcriptional enhancers: from properties to genome-wide predictions
Shlyueva, D., Stampfel, G., & Stark, A. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3682 · Cited by 1,356
Self-citationLong-range enhancer–promoter contacts in gene expression control
Schoenfelder, S., & Fraser, P. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0128-0 · Cited by 1,102
High-resolution TADs reveal DNA sequences underlying genome organization in flies
Ramírez, F., Bhardwaj, V., Arrigoni, L., Lam, K. C., Grüning, B. A., Villaveces, J. M., Habermann, B. H., Akhtar, A., & Manke, T. (2018) · Nature Communications · doi:10.1038/s41467-017-02525-w · Cited by 993
New developments on the Encyclopedia of DNA Elements (ENCODE) data portal
Luo, Y., Hitz, B. C., Gabdank, I., Hilton, J. A., Kagda, M. S., Lam, B. R., Myers, Z., Sud, P., Jou, J., Lin, K. Z., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz1062 · Cited by 1,007
Metadata
- Authors
- Arnold, C. D., Gerlach, D., Stelzer, C., Boryń, Ł. M., Rath, M., & Stark, A.
- Affiliations
- Research Institute of Molecular Pathology (AT)
- Corresponding author
- Stark, Alexander
- Venue
- Science
- Published
- 2013-03
- Volume
- 339
- Issue
- 6123
- Pages
- 1074-1077
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2077874719
- Cited by
- 1,125
- References
- 48
- Citations by year
- 2026: 74 · 2025: 113 · 2024: 107 · 2023: 99 · 2022: 80 · 2021: 96 · 2020: 106 · 2019: 85 · 2018: 77 · 2017: 75 · 2016: 74 · 2015: 64 · 2014: 53 · 2013: 21
- FWCI
- 31.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chromatin Remodeling and Cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Keywords
- enhancer activity, STARR-seq, Drosophila, cell type-specific enhancers, transcriptional regulation, gene expression regulation, enhancer screen, developmental regulators
- MeSH terms
- Animals, Chromosome Mapping, Drosophila melanogaster, Enhancer Elements, Genetic, Female, Gene Expression Regulation, HeLa Cells, Humans, Ovary, Transcription, Genetic, Genome, Sequence Analysis, DNA, Gene Expression Regulation, Developmental
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
