Evidence map›Paper›PMID 26536118›Full record

ArticlePloS one2015

Flow-Based Single Cell Deposition for High-Throughput Screening of Protein Libraries.

Cassandra Stowe, Arnold Pizzey, Tammy Kalber, Adam Badar, Mark Lythgoe, Martin Pule

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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

6 authors at 1 institution in 1 country.

Cassandra StoweCancer Institute, Department of Haematology, Division of Medicine, University College London, London, United Kingdom.
Arnold PizzeyCancer Institute, Department of Haematology, Division of Medicine, University College London, London, United Kingdom.
Tammy KalberCentre for Advanced Biomedical Imaging, Division of Medicine, University College London, London, United Kingdom.
Adam BadarCentre for Advanced Biomedical Imaging, Division of Medicine, University College London, London, United Kingdom.
Mark LythgoeCentre for Advanced Biomedical Imaging, Division of Medicine, University College London, London, United Kingdom.
Martin PuleCancer Institute, Department of Haematology, Division of Medicine, University College London, London, United Kingdom.
University College London · GB

Funding

Medical Research Council MR/J013110/1Medical Research Council MR/K026739/1
6 · The paper itself

Abstract

The identification and engineering of proteins having refined or novel characteristics is an important area of research in many scientific fields. Protein modelling has enabled the rational design of unique proteins, but high-throughput screening of large libraries is still required to identify proteins with potentially valuable properties. Here we report on the development and evaluation of a novel fluorescent activated cell sorting based screening platform. Single bacterial cells, expressing a protein library to be screened, are electronically sorted and deposited onto plates containing solid nutrient growth media in a dense matrix format of between 44 and 195 colonies/cm2. We show that this matrix format is readily applicable to machine interrogation (<30 seconds per plate) and subsequent bioinformatic analysis (~60 seconds per plate) thus enabling the high-throughput screening of the protein library. We evaluate this platform and show that bacteria containing a bioluminescent protein can be spectrally analysed using an optical imager, and a rare clone (0.5% population) can successfully be identified, picked and further characterised. To further enhance this screening platform, we have developed a prototype electronic sort stream multiplexer, that when integrated into a commercial flow cytometric sorter, increases the rate of colony deposition by 89.2% to 24 colonies per second. We believe that the screening platform described here is potentially the foundation of a new generation of high-throughput screening technologies for proteins.

Indexed as

BacteriaComputational BiologyFlow CytometryGreen Fluorescent ProteinsHigh-Throughput Screening AssaysPichiaProteinsenhanced green fluorescent proteinGreen Fluorescent ProteinsProteins

Identifiers

PMID26536118
PMCPMC4633160
OpenAlexW2113869745

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.