Evidence map›Paper›PMID 26641932›Full record

ArticleNature chemical biology2016

High-throughput analysis and protein engineering using microcapillary arrays.

Bob Chen, Sungwon Lim, Arvind Kannan, Spencer C Alford, Fanny Sunden, Daniel Herschlag, Ivan K Dimov, Thomas M Baer, Jennifer R Cochran

Abstract read
In one paragraph

Article in Nature chemical biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

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  18. High-throughput selection of cells based on accumulated growth and division using PicoShell particles.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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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

9 authors.

Bob ChenDepartment of Bioengineering, Stanford University, Stanford, California, USA.
Sungwon LimDepartment of Bioengineering, Stanford University, Stanford, California, USA.
Arvind KannanDepartment of Chemical Engineering, Stanford University, Stanford, California, USA.
Spencer C AlfordDepartment of Bioengineering, Stanford University, Stanford, California, USA.
Fanny SundenDepartment of Biochemistry, Stanford University, Stanford, California, USA.
Daniel HerschlagDepartment of Biochemistry, Stanford University, Stanford, California, USA.
Ivan K DimovInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California, USA.ORCID http://orcid.org/0000-0002-3667-5013
Thomas M BaerStanford Photonics Research Center, Stanford University, Stanford, California, USA.
Jennifer R CochranDepartment of Bioengineering, Stanford University, Stanford, California, USA.

Funding

Enzymology of a Catalytic RNA MoleculeR37GM049243 · NIGMS · STANFORD UNIVERSITY · PI HERSCHLAG, DANIEL · 2002 to 2011
$4.2M
ENZYMOLOGY OF A CATALYTIC RNA MOLECULER01GM049243 · NIGMS · STANFORD UNIVERSITY · PI HERSCHLAG, DANIEL · 1993 to 2016
$2.3M
Howard Hughes Medical InstituteNIGMS NIH HHS GM49243NIGMS NIH HHS R01 GM049243NIGMS NIH HHS R37 GM049243
6 · The paper itself

Abstract

We describe a multipurpose technology platform, termed μSCALE (microcapillary single-cell analysis and laser extraction), that enables massively parallel, quantitative biochemical and biophysical measurements on millions of protein variants expressed from yeast or bacteria. μSCALE spatially segregates single cells within a microcapillary array, enabling repeated imaging, cell growth and protein expression. We performed high-throughput analysis of cells and their protein products using a range of fluorescent assays, including binding-affinity measurements and dynamic enzymatic assays. A precise laser-based extraction method allows rapid recovery of live clones and their genetic material from microcapillaries for further study. With μSCALE, we discovered a new antibody against a clinical cancer target, evolved a fluorescent protein biosensor and engineered an enzyme to reduce its sensitivity to its inhibitor. These protein analysis and engineering applications each have unique assay requirements and different host organisms, highlighting the flexibility and technical capabilities of the μSCALE platform.

Indexed as

Bacterial ProteinsBiosensing TechniquesChemistry Techniques, AnalyticalFlow CytometryFluorescent DyesFungal ProteinsGene LibraryProtein Array AnalysisProtein BindingProtein EngineeringSingle-Cell AnalysisBacterial ProteinsFluorescent DyesFungal Proteins

Identifiers

PMID26641932
PMCPMC6215714

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.