Evidence map›Paper›PMID 28335006›Full record

ArticleNucleic acids research2017

A platform for functional assessment of large variant libraries in mammalian cells.

Kenneth A Matreyek, Jason J Stephany, Douglas M Fowler

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

108 citing papers in PubMed, 153 citations in OpenAlex.

  1. Article
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  17. Article
  18. Mapping the Functional Landscape ofmedRxiv : the preprint server for health sciences · 2025
    Article
  19. Article
  20. Systematic and proactive evaluation of AIRE missense variant effects.bioRxiv : the preprint server for biology · 2025
    Article

48 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Kenneth A MatreyekDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
Jason J StephanyDepartment of Bioengineering, University of Washington, Seattle, WA 98195, USA.
Douglas M FowlerDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
University of Washington · US

Funding

Interdisciplinary Tranining in Cancer ResearchT32CA080416 · NCI · UNIVERSITY OF WASHINGTON · PI STODDARD, BARRY L. · 1998 to 2023
$9.7M
Large-Scale Methods for Assessing the Consequences of Mutations in ProteinsR01GM109110 · NIGMS · UNIVERSITY OF WASHINGTON · PI FOWLER, DOUGLAS M · 2014 to 2021
$2.4M
F-CAP: Functionalization of Variants in Clinically Actionable PharmacogenesR24GM115277 · NIGMS · UNIVERSITY OF WASHINGTON · PI FOWLER, DOUGLAS M, RETTIE, ALLAN EDWARD · 2015 to 2017
$2.2M
NCI NIH HHS T32 CA080416NIGMS NIH HHS R01 GM109110NIGMS NIH HHS R24 GM115277
6 · The paper itself

Abstract

Sequencing-based, massively parallel genetic assays have revolutionized our ability to quantify the relationship between many genotypes and a phenotype of interest. Unfortunately, variant library expression platforms in mammalian cells are far from ideal, hindering the study of human gene variants in their physiologically relevant cellular contexts. Here, we describe a platform for phenotyping variant libraries in transfectable mammalian cell lines in two steps. First, a landing pad cell line with a genomically integrated, Tet-inducible cassette containing a Bxb1 recombination site is created. Second, a single variant from a library of transfected, promoter-less plasmids is recombined into the landing pad in each cell. Thus, every cell in the recombined pool expresses a single variant, allowing for parallel, sequencing-based assessment of variant effect. We describe a method for incorporating a single landing pad into a defined site of a cell line of interest, and show that our approach can be used generate more than 20 000 recombinant cells in a single experiment. Finally, we use our platform in combination with a sequencing-based assay to explore the N-end rule by simultaneously measuring the effects of all possible N-terminal amino acids on protein expression.

Indexed as

High-Throughput Nucleotide SequencingBase SequenceDependovirusGene ExpressionGene LibraryGenetic Association StudiesGenetic VariationGreen Fluorescent ProteinsHEK293 CellsHumansPhenotypeProtein StabilityRecombinant ProteinsTransfectionenhanced green fluorescent proteinGreen Fluorescent ProteinsRecombinant Proteins

Identifiers

PMID28335006
PMCPMC5499817
OpenAlexW2664864461

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.