Evidence map›Paper›PMID 38394072›Full record

ArticlePloS one2024

Open-source milligram-scale, four channel, automated protein purification system.

Robert R Puccinelli, Samia S Sama, Caroline M Worthington, Andreas S Puschnik, John E Pak, Rafael Gómez-Sjöberg

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Robert R PuccinelliChan Zuckerberg Biohub - San Francisco, San Francisco, California, United States of America.ORCID 0000-0002-8614-8326
Samia S SamaChan Zuckerberg Biohub - San Francisco, San Francisco, California, United States of America.
Caroline M WorthingtonChan Zuckerberg Biohub - San Francisco, San Francisco, California, United States of America.
Andreas S PuschnikChan Zuckerberg Biohub - San Francisco, San Francisco, California, United States of America.
John E PakChan Zuckerberg Biohub - San Francisco, San Francisco, California, United States of America.
Rafael Gómez-SjöbergChan Zuckerberg Biohub - San Francisco, San Francisco, California, United States of America.ORCID 0000-0001-8017-9669

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liquid chromatography purification of multiple recombinant proteins, in parallel, could catalyze research and discovery if the processes are fast and approach the robustness of traditional, "one-protein-at-a-time" purification. Here, we report an automated, four channel chromatography platform that we have designed and validated for parallelized protein purification at milligram scales. The device can purify up to four proteins (each with its own single column), has inputs for up to eight buffers or solvents that can be directed to any of the four columns via a network of software-driven valves, and includes an automated fraction collector with ten positions for 1.5 or 5.0 mL collection tubes and four positions for 50 mL collection tubes for each column output. The control software can be accessed either via Python scripting, giving users full access to all steps of the purification process, or via a simple-to-navigate touch screen graphical user interface that does not require knowledge of the command line or any programming language. Using our instrument, we report milligram-scale, parallelized, single-column purification of a panel of mammalian cell expressed coronavirus (SARS-CoV-2, HCoV-229E, HCoV-OC43, HCoV-229E) trimeric Spike and monomeric Receptor Binding Domain (RBD) antigens, and monoclonal antibodies targeting SARS-CoV-2 Spike (S) and Influenza Hemagglutinin (HA). We include a detailed hardware build guide, and have made the controlling software open source, to allow others to build and customize their own protein purifier systems.

Indexed as

Coronavirus 229E, HumanCoronavirus OC43, HumanAnimalsMammalsProgramming LanguagesRecombinant ProteinsSARS-CoV-2SoftwareSpike Glycoprotein, CoronavirusRecombinant ProteinsSpike Glycoprotein, Coronavirus

Identifiers

PMID38394072
PMCPMC10889886

What OpenQuestion holds

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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.