Evidence map›Paper›PMID 39085844›Full record

ArticleMicrobial cell factories2024

CRISPR-Cas9 knockout screen informs efficient reduction of the Komagataella phaffii secretome.

Neil C Dalvie, Timothy R Lorgeree, Yuchen Yang, Sergio A Rodriguez-Aponte, Charles A Whittaker, Joshua A Hinckley, John J Clark, Amanda M Del Rosario, Kerry R Love, J Christopher Love

Abstract read
In one paragraph

Article in Microbial cell factories, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

10 authors.

Neil C DalvieDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Timothy R LorgereeThe Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 01239, USA.
Yuchen YangDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Sergio A Rodriguez-AponteThe Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 01239, USA.
Charles A WhittakerThe Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 01239, USA.
Joshua A HinckleyThe Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 01239, USA.
John J ClarkThe Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 01239, USA.
Amanda M Del RosarioThe Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 01239, USA.
Kerry R LoveDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. kerry@sunflowertx.com.
J Christopher LoveDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. clove@mit.edu.

Funding

VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Jacqueline A. Lees · 1985 to 2026
$93.9M
NCI NIH HHS P30 CA014051NCI NIH HHS P30-CA14051
6 · The paper itself

Abstract

backgroundThe yeast Komagataella phaffii is widely used for manufacturing recombinant proteins, but secreted titers of recombinant proteins could be improved by genetic engineering. In this study, we hypothesized that cellular resources could be redirected from production of endogenous proteins to production of recombinant proteins by deleting unneeded endogenous proteins. In non-model microorganisms such as K. phaffii, however, genetic engineering is limited by lack gene annotation and knowledge of gene essentiality.

resultsWe identified a set of endogenous secreted proteins in K. phaffii by mass spectrometry and signal peptide prediction. Our efforts to disrupt these genes were hindered by limited annotation of essential genes. To predict essential genes, therefore, we designed, transformed, and sequenced a pooled library of guide RNAs for CRISPR-Cas9-mediated knockout of all endogenous secreted proteins. We then used predicted gene essentiality to guide iterative disruptions of up to 11 non-essential genes. Engineered strains exhibited a ~20× increase in the production of human serum albumin and a twofold increase in the production of a monoclonal antibody.

conclusionsWe demonstrated that disruption of as few as six genes can increase production of recombinant proteins. Further reduction of the endogenous proteome of K. phaffii may further improve strain performance. The pooled library of secretome-targeted guides for CRISPR-Cas9 and knowledge of gene essentiality reported here will facilitate future efforts to engineer K. phaffii for production of other recombinant proteins and enzymes.

Indexed as

CRISPR-Cas SystemsRecombinant ProteinsSaccharomycetalesAntibodies, MonoclonalFungal ProteinsGene Knockout TechniquesHumansProteomeSerum Albumin, HumanAntibodies, MonoclonalFungal ProteinsProteomeRecombinant ProteinsSerum Albumin, Human

Identifiers

PMID39085844
PMCPMC11293167

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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.