Anti-cancer natural product library from traditional Chinese medicine

Publication type:
Journal article
Metadata:
Autoren
  • V Badirenaath Konkimalla
  • Thomas Efferth
Autoren-URL
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000253934600002&DestLinkType=FullRecord&DestApp=WOS_CPL
eISSN
1875-5402
Externe Identifier
  • Clarivate Analytics Document Solution ID: 273MI
  • PubMed Identifier: 18220539
ISSN
1386-2073
Ausgabe der Veröffentlichung
1
Zeitschrift
COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING
Schlüsselwörter
  • cancer
  • chemotherapy
  • natural products
  • molecular pharmacology
  • phytochemistry
  • pharmacognosy
  • pharmacogenomics
  • traditional Chinese medicine
Paginierung
7 - 15
Datum der Veröffentlichung
2008
Status
Published
Titel
Anti-cancer natural product library from traditional Chinese medicine
Sub types
  • Article
Ausgabe der Zeitschrift
11

Data source: Web of Science (Lite)

Other metadata sources:
Autoren
  • Thomas Efferth
  • V Konkimalla
DOI
10.2174/138620708783398368
ISSN
1386-2073
Ausgabe der Veröffentlichung
1
Zeitschrift
Combinatorial Chemistry & High Throughput Screening
Sprache
en
Paginierung
7 - 15
Datum der Veröffentlichung
2008
Status
Published
Herausgeber
Bentham Science Publishers Ltd.
Herausgeber URL
http://dx.doi.org/10.2174/138620708783398368
Datum der Datenerfassung
2015
Titel
Anti-Cancer Natural Product Library from Traditional Chinese Medicine
Ausgabe der Zeitschrift
11

Data source: Crossref

Abstract
The cure rates in cancer chemotherapy are affected by the development of drug resistance and severe side effects. Due to these limitations, there is an urgent need for improved therapeutics. Bioactive compounds from medicinal plants represent a valuable resource for novel anticancer drugs. To gain a systematic approach, we established a library of 531 cytotoxic natural products derived from traditional Chinese medicine. Cellular and pharmacogenomic profiling was performed for the 10 most cytotoxic natural products. One of these compounds, helebrin, was analyzed in more detail. The IC(50) values for hellebrin of 60 NCI cell lines were associated with the microarray-based expression of 9,706 genes. By hierarchical cluster analyses, candidate genes were identified which significantly predicted sensitivity or resistance of cell lines to hellebrin.
Addresses
  • German Cancer Research Center, Pharmaceutical Biology (C015), Heidelberg, Germany.
Autoren
DOI
10.2174/138620708783398368
eISSN
1875-5402
Externe Identifier
  • PubMed Identifier: 18220539
Open access
false
ISSN
1386-2073
Ausgabe der Veröffentlichung
1
Zeitschrift
Combinatorial chemistry & high throughput screening
Schlüsselwörter
  • Cell Line, Tumor
  • Humans
  • Neoplasms
  • Antineoplastic Agents
  • Biological Products
  • Medicine, Chinese Traditional
  • Oligonucleotide Array Sequence Analysis
  • Drug Screening Assays, Antitumor
  • Cluster Analysis
  • Gene Expression Profiling
  • Inhibitory Concentration 50
  • Molecular Structure
  • Gene Library
Sprache
eng
Medium
Print
Paginierung
7 - 15
Datum der Veröffentlichung
2008
Status
Published
Datum der Datenerfassung
2008
Titel
Anti-cancer natural product library from traditional chinese medicine.
Sub types
  • Research Support, Non-U.S. Gov't
  • Journal Article
Ausgabe der Zeitschrift
11

Data source: Europe PubMed Central

Abstract
The cure rates in cancer chemotherapy are affected by the development of drug resistance and severe side effects. Due to these limitations, there is an urgent need for improved therapeutics. Bioactive compounds from medicinal plants represent a valuable resource for novel anticancer drugs. To gain a systematic approach, we established a library of 531 cytotoxic natural products derived from traditional Chinese medicine. Cellular and pharmacogenomic profiling was performed for the 10 most cytotoxic natural products. One of these compounds, helebrin, was analyzed in more detail. The IC(50) values for hellebrin of 60 NCI cell lines were associated with the microarray-based expression of 9,706 genes. By hierarchical cluster analyses, candidate genes were identified which significantly predicted sensitivity or resistance of cell lines to hellebrin.
Autoren
  • V Badirenaath Konkimalla
  • Thomas Efferth
Autoren-URL
https://www.ncbi.nlm.nih.gov/pubmed/18220539
DOI
10.2174/138620708783398368
ISSN
1386-2073
Ausgabe der Veröffentlichung
1
Zeitschrift
Comb Chem High Throughput Screen
Schlüsselwörter
  • Antineoplastic Agents
  • Biological Products
  • Cell Line, Tumor
  • Cluster Analysis
  • Drug Screening Assays, Antitumor
  • Gene Expression Profiling
  • Gene Library
  • Humans
  • Inhibitory Concentration 50
  • Medicine, Chinese Traditional
  • Molecular Structure
  • Neoplasms
  • Oligonucleotide Array Sequence Analysis
Sprache
eng
Country
United Arab Emirates
Paginierung
7 - 15
Datum der Veröffentlichung
2008
Status
Published
Datum, an dem der Datensatz öffentlich gemacht wurde
2008
Titel
Anti-cancer natural product library from traditional chinese medicine.
Sub types
  • Journal Article
  • Research Support, Non-U.S. Gov't
Ausgabe der Zeitschrift
11

Data source: PubMed

Beziehungen:
Property of

Tools