Novel quantitative tools for engineering analysis of hepatocyte cultures used in bioartificial liver systems

Marianthi Ierapetritou; N. Sharma; Martin Yarmush

doi:10.1016/S1570-7946(04)80242-6

Novel quantitative tools for engineering analysis of hepatocyte cultures used in bioartificial liver systems

Marianthi Ierapetritou, N. Sharma, Martin Yarmush

Research output: Contribution to journal › Article › peer-review

Abstract

Study of hepatic metabolism is important in the context of basic biology, disease diagnosis and several biotechnological applications such as development of bioartificial support systems. In the current paper, we have utilized mathematical programming techniques to optimize the biochemical environment of hepatocyte cultures towards a desired effect of increased albumin and urea synthesis. Also, we have obtained a set of solutions corresponding to different objectives in the metabolic framework. These studies demonstrate an initial step towards generating a systematic approach to hepatocyte cultures and towards optimizing different parameters for an extracorporeal device based on real-time conditions.

Original language	English (US)
Pages (from-to)	1057-1062
Number of pages	6
Journal	Computer Aided Chemical Engineering
Volume	18
Issue number	C
DOIs	https://doi.org/10.1016/S1570-7946(04)80242-6
State	Published - Dec 1 2004

All Science Journal Classification (ASJC) codes

Chemical Engineering(all)
Computer Science Applications

Keywords

hepatocytes
linear programming optimization
metabolic flux analysis

Access to Document

10.1016/S1570-7946(04)80242-6

Fingerprint Dive into the research topics of 'Novel quantitative tools for engineering analysis of hepatocyte cultures used in bioartificial liver systems'. Together they form a unique fingerprint.

Cite this

@article{aa9931f216f14abfb64d2ccc83660df6,

title = "Novel quantitative tools for engineering analysis of hepatocyte cultures used in bioartificial liver systems",

abstract = "Study of hepatic metabolism is important in the context of basic biology, disease diagnosis and several biotechnological applications such as development of bioartificial support systems. In the current paper, we have utilized mathematical programming techniques to optimize the biochemical environment of hepatocyte cultures towards a desired effect of increased albumin and urea synthesis. Also, we have obtained a set of solutions corresponding to different objectives in the metabolic framework. These studies demonstrate an initial step towards generating a systematic approach to hepatocyte cultures and towards optimizing different parameters for an extracorporeal device based on real-time conditions.",

keywords = "hepatocytes, linear programming optimization, metabolic flux analysis",

author = "Marianthi Ierapetritou and N. Sharma and Martin Yarmush",

year = "2004",

month = dec,

day = "1",

doi = "10.1016/S1570-7946(04)80242-6",

language = "English (US)",

volume = "18",

pages = "1057--1062",

journal = "Computer Aided Chemical Engineering",

issn = "1570-7946",

publisher = "Elsevier",

number = "C",

}

TY - JOUR

T1 - Novel quantitative tools for engineering analysis of hepatocyte cultures used in bioartificial liver systems

AU - Ierapetritou, Marianthi

AU - Sharma, N.

AU - Yarmush, Martin

PY - 2004/12/1

Y1 - 2004/12/1

N2 - Study of hepatic metabolism is important in the context of basic biology, disease diagnosis and several biotechnological applications such as development of bioartificial support systems. In the current paper, we have utilized mathematical programming techniques to optimize the biochemical environment of hepatocyte cultures towards a desired effect of increased albumin and urea synthesis. Also, we have obtained a set of solutions corresponding to different objectives in the metabolic framework. These studies demonstrate an initial step towards generating a systematic approach to hepatocyte cultures and towards optimizing different parameters for an extracorporeal device based on real-time conditions.

AB - Study of hepatic metabolism is important in the context of basic biology, disease diagnosis and several biotechnological applications such as development of bioartificial support systems. In the current paper, we have utilized mathematical programming techniques to optimize the biochemical environment of hepatocyte cultures towards a desired effect of increased albumin and urea synthesis. Also, we have obtained a set of solutions corresponding to different objectives in the metabolic framework. These studies demonstrate an initial step towards generating a systematic approach to hepatocyte cultures and towards optimizing different parameters for an extracorporeal device based on real-time conditions.

KW - hepatocytes

KW - linear programming optimization

KW - metabolic flux analysis

UR - http://www.scopus.com/inward/record.url?scp=77955606969&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77955606969&partnerID=8YFLogxK

U2 - 10.1016/S1570-7946(04)80242-6

DO - 10.1016/S1570-7946(04)80242-6

M3 - Article

AN - SCOPUS:77955606969

VL - 18

SP - 1057

EP - 1062

JO - Computer Aided Chemical Engineering

JF - Computer Aided Chemical Engineering

SN - 1570-7946

IS - C

ER -