Cited by 377Genomics and Chromatin DynamicsGene Regulatory Network AnalysisCRISPR and Genetic Engineering

High-resolution analysis of DNA regulatory elements by synthetic saturation mutagenesis

Open access
Patwardhan, Rupali P, Lee, Choli, Litvin, Oren, Young, David L, Pe'er, Dana, Shendure, Jay·2009·Nature Biotechnology

Abstract

We present a method that harnesses massively parallel DNA synthesis and sequencing for the high-throughput functional analysis of regulatory sequences at single-nucleotide resolution. As a proof of concept, we quantitatively assayed the effects of all possible single-nucleotide mutations for three bacteriophage promoters and three mammalian core promoters in a single experiment per promoter. The method may also serve as a rapid screening tool for regulatory element engineering in synthetic biology.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/nbt.1589

Cites

16 of 16 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

  • Massively parallel reporter assays and CRISPR genome editing have matured rapidly to enable functional characterization of targeted sequence perturbations at scale.

    “To address this, there has been rapid maturation of technologies, such as massively parallel reporter assays121–123 and CRISPR genome editing, to support functional characterization of targeted sequence perturbations at scale.”

    From A brief history of human disease genetics (2020) · cites this paper as [121]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Patwardhan, R. P., Lee, C., Litvin, O., Young, D. L., Pe'er, D., & Shendure, J.
Affiliations
  • University of Washington (US)
  • Columbia University (US)
Corresponding author
  • Patwardhan, Rupali P
  • Shendure, Jay
Venue
Nature Biotechnology
Published
2009-11-15
Volume
27
Issue
12
Pages
1173-1175
ISSN
  • 0733-222X (ISSN-L)
  • 1087-0156
  • 1546-1696
OpenAlex
W2132224717
Cited by
377
References
16
Citations by year
2026: 21 · 2025: 26 · 2024: 24 · 2023: 26 · 2022: 28 · 2021: 28 · 2020: 35 · 2019: 30 · 2018: 19 · 2017: 18 · 2016: 27 · 2015: 22 · 2014: 16 · 2013: 14 · 2012: 22
FWCI
5.77
Type
journal article
Language
en
Open access
Locations
  • Nature Biotechnology (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Human Genome Research Institute (R21HG004749)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
Keywords
DNA regulatory elements, saturation mutagenesis, single-nucleotide resolution, promoter analysis, gene expression regulation, synthetic biology
MeSH terms
Algorithms, Base Sequence, DNA, Molecular Sequence Data, Mutagenesis, Site-Directed, Sequence Analysis, DNA, Regulatory Elements, Transcriptional

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