ArticlePLoS biology2022
Exploring the genetic architecture of protein secretion in Komagataella phaffii (Pichia pastoris) for biotechnology applications.
Article in PLoS biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Living Microbial Drugs.Chemistry (Weinheim an der Bergstrasse, Germany) · 2026Review
- Molecular engineering of Komagataella phaffii for venom toxin production.Applied microbiology and biotechnology · 2026Review
- Engineering Saccharomyces boulardii for enhanced surface display capacity.Microbial cell factories · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Improvements to the production of proteins in industrial yeast species have largely relied on generating variation in a single genetic background. A new study in PLOS Biology leverages natural genetic variation to identify genes and variants with the potential to improve protein yield.
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What OpenQuestion holds
Registered trials
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.