Evidence map›Paper›PMID 25559584›Full record

ArticleNature methods2015

Massively parallel single-amino-acid mutagenesis.

Jacob O Kitzman, Lea M Starita, Russell S Lo, Stanley Fields, Jay Shendure

Abstract read
In one paragraph

Article in Nature methods, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed
–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

104 citing papers in PubMed.

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44 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

5 authors.

Jacob O KitzmanDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.
Lea M StaritaDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.
Russell S Lo1] Department of Genome Sciences, University of Washington, Seattle, Washington, USA. [2] Howard Hughes Medical Institute, Seattle, Washington, USA.
Stanley Fields1] Department of Genome Sciences, University of Washington, Seattle, Washington, USA. [2] Howard Hughes Medical Institute, Seattle, Washington, USA. [3] Department of Medicine, University of Washington, Seattle, Washington, USA.
Jay ShendureDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.

Funding

TrainingP41GM103533 · NIGMS · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2012 to 2021
$20.7M
Interpreting Genetic Variants of Uncertain SignificanceDP1HG007811 · NHGRI · UNIVERSITY OF WASHINGTON · PI SHENDURE, JAY ASHOK · 2013 to 2017
$3.8M
Howard Hughes Medical InstituteNCCDPHP CDC HHS DP1HG007811NHGRI NIH HHS DP1 HG007811NIGMS NIH HHS P41 GM103533NIGMS NIH HHS P41GM103533
6 · The paper itself

Abstract

Random mutagenesis methods only partially cover the mutational space and are constrained by DNA synthesis length limitations. Here we demonstrate programmed allelic series (PALS), a single-volume, site-directed mutagenesis approach using microarray-programmed oligonucleotides. We created libraries including nearly every missense mutation as singleton events for the yeast transcription factor Gal4 (99.9% coverage) and human tumor suppressor p53 (93.5%). PALS-based comprehensive missense mutational scans may aid structure-function studies, protein engineering, and the interpretation of variants identified by clinical sequencing.

Indexed as

Amino AcidsDNA-Binding ProteinsGene LibraryHaplotypesHumansMutagenesis, Site-DirectedMutation, MissenseOligonucleotide Array Sequence AnalysisSaccharomyces cerevisiae ProteinsTranscription FactorsTumor Suppressor Protein p53Uracil-DNA GlycosidaseAmino AcidsDNA-Binding ProteinsGAL4 protein, S cerevisiaeSaccharomyces cerevisiae ProteinsTP53 protein, humanTranscription FactorsTumor Suppressor Protein p53Uracil-DNA Glycosidase

Identifiers

PMID25559584
PMCPMC4344410

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.