ArticleJournal of biological engineering2017
Prediction of
Article in Journal of biological engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 18 citations in OpenAlex.
- Sigma Factors as Potential Targets to Enhance Recombinant Protein Expression.Biotechnology and bioengineering · 2025Article
- Assessing the capabilities of 2D fluorescence monitoring in microtiter plates with data-driven modeling for secondary substrate limitation experiments of Hansenula polymorpha.Journal of biological engineering · 2023Article
- Online 2D Fluorescence Monitoring in Microtiter Plates Allows Prediction of Cultivation Parameters and Considerable Reduction in Sampling Efforts for Parallel Cultivations ofBioengineering (Basel, Switzerland) · 2022Article
- Predicting high recombinant protein producer strains of Pichia pastoris MutScientific reports · 2022Article
- bletl - A Python package for integrating BioLector microcultivation devices in the Design-Build-Test-Learn cycle.Engineering in life sciences · 2022Article
- Integration of Genetic and Process Engineering for Optimized Rhamnolipid Production UsingFrontiers in bioengineering and biotechnology · 2020Article
- Optimizing recombinant protein expression via automated induction profiling in microtiter plates at different temperatures.Microbial cell factories · 2017Article
- Promoters from the itaconate cluster ofFungal biology and biotechnology · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background
methodsA mathematical method is developed to distinguish between cultures, which are insufficiently, optimally or too strongly induced. Therefore, just the temporal development of the scattered light intensity signal is investigated. It is found that discrimination between the different intensities of induction is possible via principal component analysis. By fitting an extended sigmoidal function to the trajectory of the scattered light over time, two characteristic parameters are found. These are used in an empirical model to predict the expression performance.
resultsThe method was established for a wide range of culture conditions based on 625
conclusionsThe properties of cultures studied can be represented by only two characteristic parameters (slope at and time of the inflection point) received from fitting an extended sigmoidal function to the respective scattered light trajectory. Based on these two characteristic parameters, predictions of the standardized expression performance are possible and for a first screen elaborated offline analysis can be avoided. To the best of our knowledge, this is the first work presenting a method for the general prediction of expression performance of
Indexed as
Identifiers
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.