Sequential Multivariate Cell Culture Modeling at Multiple Scales Supports Systematic Shaping of a Monoclonal Antibody Toward a Quality Target
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Sequential Multivariate Cell Culture Modeling at Multiple Scales Supports Systematic Shaping of a Monoclonal Antibody Toward a Quality Target
Authors
Keywords
-
Journal
Biotechnology Journal
Volume 13, Issue 4, Pages 1700461
Publisher
Wiley
Online
2017-12-28
DOI
10.1002/biot.201700461
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Monitoring Quality of Biotherapeutic Products Using Multivariate Data Analysis
- (2016) Anurag S. Rathore et al. AAPS Journal
- Hybrid modeling as a QbD/PAT tool in process development: an industrial E. coli case study
- (2016) Moritz von Stosch et al. BIOPROCESS AND BIOSYSTEMS ENGINEERING
- Closed loop control of lactate concentration in mammalian cell culture by Raman spectroscopy leads to improved cell density, viability, and biopharmaceutical protein production
- (2016) Thomas E. Matthews et al. BIOTECHNOLOGY AND BIOENGINEERING
- Process performance and product quality in an integrated continuous antibody production process
- (2016) Daniel J. Karst et al. BIOTECHNOLOGY AND BIOENGINEERING
- Robust factor selection in early cell culture process development for the production of a biosimilar monoclonal antibody
- (2016) Michael Sokolov et al. BIOTECHNOLOGY PROGRESS
- Controlling the time evolution of mAb N-linked glycosylation, Part I: Microbioreactor experiments
- (2016) Thomas K. Villiger et al. BIOTECHNOLOGY PROGRESS
- High-throughput profiling of nucleotides and nucleotide sugars to evaluate their impact on antibody N-glycosylation
- (2016) Thomas K. Villiger et al. JOURNAL OF BIOTECHNOLOGY
- Harnessing QbD, Programming Languages, and Automation for Reproducible Biology
- (2016) Michael I. Sadowski et al. TRENDS IN BIOTECHNOLOGY
- Advanced process monitoring and feedback control to enhance cell culture process production and robustness
- (2015) An Zhang et al. BIOTECHNOLOGY AND BIOENGINEERING
- A framework for real-time glycosylation monitoring (RT-GM) in mammalian cell culture
- (2015) Tharmala Tharmalingam et al. BIOTECHNOLOGY AND BIOENGINEERING
- Fingerprint detection and process prediction by multivariate analysis of fed-batch monoclonal antibody cell culture data
- (2015) Michael Sokolov et al. BIOTECHNOLOGY PROGRESS
- Screening and assessment of performance and molecule quality attributes of industrial cell lines across different fed-batch systems
- (2015) Yolande Rouiller et al. BIOTECHNOLOGY PROGRESS
- Generic Raman-based calibration models enabling real-time monitoring of cell culture bioreactors
- (2015) Hamidreza Mehdizadeh et al. BIOTECHNOLOGY PROGRESS
- Progress toward forecasting product quality and quantity of mammalian cell culture processes by performance-based modeling
- (2015) Timo Schmidberger et al. BIOTECHNOLOGY PROGRESS
- Combining mechanistic and data-driven approaches to gain process knowledge on the control of the metabolic shift to lactate uptake in a fed-batch CHO process
- (2015) Dénes Zalai et al. BIOTECHNOLOGY PROGRESS
- Tailoring recombinant protein quality by rational media design
- (2015) David Brühlmann et al. BIOTECHNOLOGY PROGRESS
- Advanced Development Strategies for Biopharmaceutical Cell Culture Processes
- (2015) Denes Zalai et al. CURRENT PHARMACEUTICAL BIOTECHNOLOGY
- Sensor systems for bioprocess monitoring
- (2015) Philipp Biechele et al. ENGINEERING IN LIFE SCIENCES
- Sequential/parallel production of potential Malaria vaccines – A direct way from single batch to quasi-continuous integrated production
- (2015) Reiner Luttmann et al. JOURNAL OF BIOTECHNOLOGY
- End-to-end integrated fully continuous production of recombinant monoclonal antibodies
- (2015) Rahul Godawat et al. JOURNAL OF BIOTECHNOLOGY
- White Paper on Continuous Bioprocessing May 20–21 2014 Continuous Manufacturing Symposium
- (2015) Konstantin B. Konstantinov et al. JOURNAL OF PHARMACEUTICAL SCIENCES
- Assessment of Recent Process Analytical Technology (PAT) Trends: A Multiauthor Review
- (2015) Levente L. Simon et al. ORGANIC PROCESS RESEARCH & DEVELOPMENT
- Control of galactosylated glycoforms distribution in cell culture system
- (2014) Neil A. McCracken et al. BIOTECHNOLOGY PROGRESS
- Cross-scale predictive modeling of CHO cell culture growth and metabolites using Raman spectroscopy and multivariate analysis
- (2014) Brandon Berry et al. BIOTECHNOLOGY PROGRESS
- Towards real-time monitoring of therapeutic protein quality in mammalian cell processes
- (2014) Daniel A.M. Pais et al. CURRENT OPINION IN BIOTECHNOLOGY
- Evaluating the impact of cell culture process parameters on monoclonal antibody N-glycosylation
- (2014) Marija Ivarsson et al. JOURNAL OF BIOTECHNOLOGY
- Mini-review: soft sensors as means for PAT in the manufacture of bio-therapeutics
- (2014) Carl-Fredrik Mandenius et al. JOURNAL OF CHEMICAL TECHNOLOGY AND BIOTECHNOLOGY
- Integrating systems analysis and control for implementing process analytical technology in bioprocess development
- (2014) James Gomes et al. JOURNAL OF CHEMICAL TECHNOLOGY AND BIOTECHNOLOGY
- Glucose concentration control of a fed-batch mammalian cell bioprocess using a nonlinear model predictive controller
- (2014) Stephen Craven et al. JOURNAL OF PROCESS CONTROL
- Biopharmaceutical benchmarks 2014
- (2014) Gary Walsh NATURE BIOTECHNOLOGY
- Overview of integrated models for bioprocess engineering
- (2014) Ajoy Velayudhan Current Opinion in Chemical Engineering
- Application of dielectric spectroscopy for monitoring high cell density in monoclonal antibody producing CHO cell cultivations
- (2013) László Párta et al. BIOPROCESS AND BIOSYSTEMS ENGINEERING
- Development of a scale down cell culture model using multivariate analysis as a qualification tool
- (2013) Valerie Liu Tsang et al. BIOTECHNOLOGY PROGRESS
- A high-throughput media design approach for high performance mammalian fed-batch cultures
- (2013) Yolande Rouiller et al. mAbs
- Towards better understanding of an industrial cell factory: investigating the feasibility of real-time metabolic flux analysis in Pichia pastoris
- (2013) Mariana L Fazenda et al. Microbial Cell Factories
- Quality attributes of recombinant therapeutic proteins: An assessment of impact on safety and efficacy as part of a quality by design development approach
- (2012) Alex Eon-Duval et al. BIOTECHNOLOGY PROGRESS
- Single-use disposable technologies for biopharmaceutical manufacturing
- (2012) Abhinav A. Shukla et al. TRENDS IN BIOTECHNOLOGY
- Chemometrics applications in biotech processes: Assessing process comparability
- (2011) Nitish Bhushan et al. BIOTECHNOLOGY PROGRESS
- At-line NIR spectroscopy as effective PAT monitoring technique in Mab cultivations during process development and manufacturing
- (2011) Christian Hakemeyer et al. TALANTA
- High-throughput process development for biopharmaceutical drug substances
- (2011) Rahul Bhambure et al. TRENDS IN BIOTECHNOLOGY
- Glycan labeling strategies and their use in identification and quantification
- (2010) L. R. Ruhaak et al. ANALYTICAL AND BIOANALYTICAL CHEMISTRY
- A review of advanced small-scale parallel bioreactor technology for accelerated process development: Current state and future need
- (2010) Rachel Bareither et al. BIOTECHNOLOGY PROGRESS
- Cross-validation of component models: A critical look at current methods
- (2008) R. Bro et al. ANALYTICAL AND BIOANALYTICAL CHEMISTRY
- Application of Multivariate Data Analysis for Identification and Successful Resolution of a Root Cause for a Bioprocessing Application
- (2008) A.O. Kirdar et al. BIOTECHNOLOGY PROGRESS
- Identifying Inhibitory Threshold Values of Repressing Metabolites in CHO Cell Culture Using Multivariate Analysis Methods
- (2008) Z. Xing et al. BIOTECHNOLOGY PROGRESS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started