Evidence map›Paper›PMID 22371081›Full record

ArticleNature biotechnology2012

Massively parallel functional dissection of mammalian enhancers in vivo.

Rupali P Patwardhan, Joseph B Hiatt, Daniela M Witten, Mee J Kim, Robin P Smith, Dalit May, Choli Lee, Jennifer M Andrie, Su-In Lee, Gregory M Cooper and 3 more

Abstract read
In one paragraph

Article in Nature biotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 347 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
347citing papers in PubMed, 1 pooled it
21.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

347 citing papers in PubMed, 1 synthesis or guideline pooled it, 574 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Locus-Scale Massively Parallel Reporter Assays.bioRxiv : the preprint server for biology · 2026
    Article
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  18. Review
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287 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 6 institutions in 1 country.

Rupali P PatwardhanDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.
Joseph B Hiatt
Daniela M Witten
Mee J Kim
Robin P Smith
Dalit May
Choli Lee
Jennifer M Andrie
Su-In Lee
Gregory M Cooper
Nadav Ahituv
Len A Pennacchio
Jay Shendure
Seattle University · USUniversity of California, San Francisco · USUniversity of Washington · USHudsonAlpha Institute for Biotechnology · USJoint Genome Institute · USLawrence Berkeley National Laboratory · US

Funding

UCSF Liver Core CenterP30DK026743 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Jennifer C. Lai · 1986 to 2026
$30.7M
PHARMACOGENETICS OF MEMBRANE TRANSPORTERSU01GM061390 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GIACOMINI, KATHLEEN M · 2000 to 2009
$29.2M
Generation of an In Vivo Human Genome Transcriptional Enhancer DatasetR01HG003988 · NHGRI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI Len Alexander Pennacchio · 2006 to 2026
$24.1M
Pharmacogenomics of Membrane TransportersU19GM061390 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI YEE, SOOK WAH · 2010 to 2014
$16.3M
PHARMACEUTICAL SCIENCES AND PHARMACOGENOMICST32GM007175 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AHITUV, NADAV, KROETZ, DEANNA L · 1985 to 2021
$7.1M
Characterization of regulatory elements leading to human limb malformationsR01HD059862 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AHITUV, NADAV, BEJERANO, GILL · 2009 to 2013
$2.2M
High-dimensional unsupervised learning, with applications to genomicsDP5OD009145 · OD · UNIVERSITY OF WASHINGTON · PI WITTEN, DANIELA · 2011 to 2015
$1.8M
Massively parallel measurement of mitochondrial DNA mutation during human aging tF30AG039173 · NIA · UNIVERSITY OF WASHINGTON · PI HIATT, JOSEPH · 2010 to 2013
$151k
NHGRI NIH HHS R01 HG003988NIA NIH HHS F30 AG039173NICHD NIH HHS R01 HD059862NIDDK NIH HHS P30 DK026743NIGMS NIH HHS T32 GM007175NIGMS NIH HHS U01 GM061390NIGMS NIH HHS U19 GM061390NIH HHS DP5 OD009145
6 · The paper itself

Abstract

The functional consequences of genetic variation in mammalian regulatory elements are poorly understood. We report the in vivo dissection of three mammalian enhancers at single-nucleotide resolution through a massively parallel reporter assay. For each enhancer, we synthesized a library of >100,000 mutant haplotypes with 2-3% divergence from the wild-type sequence. Each haplotype was linked to a unique sequence tag embedded within a transcriptional cassette. We introduced each enhancer library into mouse liver and measured the relative activities of individual haplotypes en masse by sequencing the transcribed tags. Linear regression analysis yielded highly reproducible estimates of the effect of every possible single-nucleotide change on enhancer activity. The functional consequence of most mutations was modest, with ∼22% affecting activity by >1.2-fold and ∼3% by >2-fold. Several, but not all, positions with higher effects showed evidence for purifying selection, or co-localized with known liver-associated transcription factor binding sites, demonstrating the value of empirical high-resolution functional analysis.

Indexed as

Enhancer Elements, GeneticAnimalsBinding SitesEvolution, MolecularGenes, ReporterHaplotypesHumansLinear ModelsLiverMiceMutagenesisMutationTranscription FactorsTranscription, GeneticTranscription Factors

Identifiers

PMID22371081
PMCPMC3402344
OpenAlexW1989004527

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.