Evidence map›Paper›PMID 23875020›Full record

ArticlePloS one2013

A dual-mode surface display system for the maturation and production of monoclonal antibodies in glyco-engineered Pichia pastoris.

Hussam H Shaheen, Bianka Prinz, Ming-Tang Chen, Tej Pavoor, Song Lin, Nga Rewa Houston-Cummings, Renee Moore, Terrance A Stadheim, Dongxing Zha

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 29 citations in OpenAlex.

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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 at 1 institution in 1 country.

Hussam H ShaheenGlycoFi, Biologics Discovery, Merck Research Laboratories, Merck & Co., Inc., Lebanon, New Hampshire, United States of America.
Bianka Prinz
Ming-Tang Chen
Tej Pavoor
Song Lin
Nga Rewa Houston-Cummings
Renee Moore
Terrance A Stadheim
Dongxing Zha
Merck & Co., Inc., Rahway, NJ, USA (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

State-of-the-art monoclonal antibody (mAb) discovery methods that utilize surface display techniques in prokaryotic and eukaryotic cells require multiple steps of reformatting and switching of hosts to transition from display to expression. This results in a separation between antibody affinity maturation and full-length mAb production platforms. Here, we report for the first time, a method in Glyco-engineered Pichiapastoris that enables simultaneous surface display and secretion of full-length mAb molecules with human-like N-glycans using the same yeast cell. This paradigm takes advantage of homo-dimerization of the Fc portion of an IgG molecule to a surface-anchored "bait" Fc, which results in targeting functional "half" IgGs to the cell wall of Pichiapastoris without interfering with the secretion of full length mAb. We show the utility of this method in isolating high affinity, well-expressed anti-PCSK9 leads from a designed library that was created by mating yeasts containing either light chain or heavy chain IgG libraries. Coupled with Glyco-engineered Pichiapastoris, this method provides a powerful tool for the discovery and production of therapeutic human mAbs in the same host thus improving drug developability and potentially shortening the discovery time cycle.

Indexed as

Antibody FormationPichiaAntibodies, MonoclonalAntibody AffinityCell SeparationGlycosylationHumansOrganisms, Genetically ModifiedPeptide LibraryProtein EngineeringProtein MultimerizationProtein Processing, Post-TranslationalAntibodies, MonoclonalPeptide Library

Identifiers

PMID23875020
PMCPMC3707868
OpenAlexW1983252783

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LicenceCC BY
Read underepoch 390

Registered trials

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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.