Evidence map›Paper›PMID 31503413›Full record

ArticleCurrent protocols in molecular biology2019

STARR-seq and UMI-STARR-seq: Assessing Enhancer Activities for Genome-Wide-, High-, and Low-Complexity Candidate Libraries.

Christoph Neumayr, Michaela Pagani, Alexander Stark, Cosmas D Arnold

Open access · hybridAbstract read
In one paragraph

Article in Current protocols in molecular biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

52 citing papers in PubMed, 81 citations in OpenAlex.

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  10. Quantifying the impact of genetic mutations on enhancer dynamics.bioRxiv : the preprint server for biology · 2025
    Article
  11. Review
  12. A genome-wide survey reveals a diverse array of enhancers coordinate thebioRxiv : the preprint server for biology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Christoph NeumayrResearch Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria.
Michaela PaganiResearch Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria.
Alexander StarkResearch Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria.
Cosmas D ArnoldResearch Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria.
Research Institute of Molecular Pathology · ATVienna Biocenter · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of transcriptional enhancers and the quantitative assessment of enhancer activities is essential to understanding how regulatory information for gene expression is encoded in animal and human genomes. Further, it is key to understanding how sequence variants affect enhancer function. STARR-seq enables the direct and quantitative assessment of enhancer activity for millions of candidate sequences of arbitrary length and origin in parallel, allowing the screening of entire genomes and the establishment of genome-wide enhancer activity maps. In STARR-seq, the candidate sequences are cloned downstream of the core promoter into a reporter gene's transcription unit (i.e., the 3' UTR). Candidates that function as active enhancers lead to the transcription of reporter mRNAs that harbor the candidates' sequences. This direct coupling of enhancer sequence and enhancer activity in cis enables the straightforward and efficient cloning of complex candidate libraries and the assessment of enhancer activities of millions of candidates in parallel by quantifying the reporter mRNAs by deep sequencing. This article describes how to create focused and genome-wide human STARR-seq libraries and how to perform STARR-seq screens in mammalian cells, and also describes a novel STARR-seq variant (UMI-STARR-seq) that allows the accurate counting of reporter mRNAs for STARR-seq libraries of low complexity. © 2019 The Authors. Basic Protocol 1: STARR-seq plasmid library cloning Basic Protocol 2: Mammalian STARR-seq screening protocol Alternate Protocol: UMI-STARR-seq screening protocol-unique molecular identifier integration Support Protocol: Transfection of human cells using the MaxCyte STX scalable transfection system.

Indexed as

Enhancer Elements, GeneticGenetic TechniquesGenomic LibraryAnimalsCloning, MolecularHeLa CellsHumansPlasmidsTransfectioncis-regulatory elementenhancerfunctional genomicsgene expressiongene regulationmassively parallel reporter assayMPRASTARR-seqtranscriptional regulationUMI-STARR-seq

Identifiers

PMID31503413
PMCPMC9286403
OpenAlexW2972720099

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.