Evidence map›Paper›PMID 22371084›Full record

ArticleNature biotechnology2012

Systematic dissection and optimization of inducible enhancers in human cells using a massively parallel reporter assay.

Alexandre Melnikov, Anand Murugan, Xiaolan Zhang, Tiberiu Tesileanu, Li Wang, Peter Rogov, Soheil Feizi, Andreas Gnirke, Curtis G Callan, Justin B Kinney 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 471 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
471citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

471 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Locus-Scale Massively Parallel Reporter Assays.bioRxiv : the preprint server for biology · 2026
    Article
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411 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.

Alexandre MelnikovBroad Institute, Cambridge, Massachusetts, USA.
Anand Murugan
Xiaolan Zhang
Tiberiu Tesileanu
Li Wang
Peter Rogov
Soheil Feizi
Andreas Gnirke
Curtis G Callan
Justin B Kinney
Manolis Kellis
Eric S Lander
Tarjei S Mikkelsen

Funding

Regulatory Morif Discovery in the Human Genome Using Comparative GenomicsR01HG004037 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KELLIS, MANOLIS · 2007 to 2015
$3.9M
NHGRI NIH HHS R01 HG004037NHGRI NIH HHS R01HG004037
6 · The paper itself

Abstract

Learning to read and write the transcriptional regulatory code is of central importance to progress in genetic analysis and engineering. Here we describe a massively parallel reporter assay (MPRA) that facilitates the systematic dissection of transcriptional regulatory elements. In MPRA, microarray-synthesized DNA regulatory elements and unique sequence tags are cloned into plasmids to generate a library of reporter constructs. These constructs are transfected into cells and tag expression is assayed by high-throughput sequencing. We apply MPRA to compare >27,000 variants of two inducible enhancers in human cells: a synthetic cAMP-regulated enhancer and the virus-inducible interferon-β enhancer. We first show that the resulting data define accurate maps of functional transcription factor binding sites in both enhancers at single-nucleotide resolution. We then use the data to train quantitative sequence-activity models (QSAMs) of the two enhancers. We show that QSAMs from two cellular states can be combined to design enhancer variants that optimize potentially conflicting objectives, such as maximizing induced activity while minimizing basal activity.

Indexed as

Enhancer Elements, GeneticGenes, ReporterBase SequenceBinding SitesBiological AssayHumansModels, GeneticMolecular Sequence DataMutagenesisSequence AlignmentTranscription FactorsTranscription, GeneticTranscription Factors

Identifiers

PMID22371084
PMCPMC3297981

What OpenQuestion holds

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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.