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Characterization of novel natural compound derivatives with cancer-selective cytotoxicity (RNA-seq dataset 3)

ABSTRACT: Characterization of novel natural compound derivatives with cancer-selective cytotoxicity (RNA-seq dataset 3)

PROVIDER: PRJNA647381 | ENA |

REPOSITORIES: ENA

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Characterization of novel natural compound derivatives with cancer-selective cytotoxicity (RNA-seq dataset 1)

Project description:Characterization of novel natural compound derivatives with cancer-selective cytotoxicity (RNA-seq dataset 1)

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Characterization of novel natural compound derivatives with cancer-selective cytotoxicity (RNA-seq dataset 2)

Project description:Characterization of novel natural compound derivatives with cancer-selective cytotoxicity (RNA-seq dataset 2)

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Characterization of novel natural compound derivatives with cancer-selective cytotoxicity

Project description:Characterization of novel natural compound derivatives with cancer-selective cytotoxicity

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Characterization of novel natural compound derivatives with cancer-selective cytotoxicity (RNA-seq dataset 2)

Project description:Colorectal cancer is one of the most frequent and lethal cancer in the world. Current therapeutic approaches are still not fully successful, yet cause numerous and severe side effects for the patient. We screened chemically synthesized derivatives from two natural compounds (a-Mangostin and Paeonol) as potential novel chemicals that increase cancer cell selectivity over non-transformed human cells. We found two of them that efficiently induced cell cycle arrest and apoptosis in human cancer cells and organoids derived from tumor tissue without affecting the viability of human non-cancer cells and intestinal organoids derived from healthy tissue. Our findings increase the knowledge about cancer-specific compounds and propose two natural compound derivatives as potential novel chemotherapeutics.

2022-03-04 | GSE154753 | GEO

Characterization of novel natural compound derivatives with cancer-selective cytotoxicity (RNA-seq dataset 3)

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Characterization of novel natural compound derivatives with cancer-selective cytotoxicity (RNA-seq dataset 1)

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Characterization of novel a-Mangostin and Paeonol derivatives with cancer-selective cytotoxicity

Project description:a-Mangostin and Paeonol have shown anti-cancer and anti-inflammatory properties, however these two natural compounds have no clinical value because of their low solubility and low membrane permeability. In this study, we screened chemically synthesized derivatives from these two natural compounds as potential novel chemicals that increase cancer cell cytotoxicity over non-transformed human cells. We found the two derivative compounds, named a-Mangostin-1 (aMan1) and Paeonol-1 (Pae1) more efficiently and specifically induced cytotoxicity in HCT116, HT-29, and SW48 colorectal cancer cell lines than the parental compounds. Both, aMan1 and Pae1 arrested HCT116 cells in G1 and HT-29 and SW48 cells in G2/M phase of the cell cycle. Both aMan1 and Pae1 induced apoptosis in human cancer cells, through a Caspase-dependent mechanism. aMan1 and Pae1 induced selective transcriptional responses in CRC cells involving genes related to metabolic stress and DNA damage response signaling pathways. Finally, experiments on primary colon organoids showed that both the novel derivatives kill organoids derived from cancer without affecting the viability of organoids derived from healthy tissue, where the parental compounds and the currently-used chemotherapeutic drug Irinotecan failed in. In conclusion, our findings increase the knowledge about natural compound derivatives as anticancer compounds and open new research options on the derivation of lead compounds aimed to the development of novel CRC chemotherapeutic drugs that selectively target cancer, but not healthy cells.

2023-03-11 | PXD024999 | Pride

Characterization of novel natural compound derivatives with cancer-selective cytotoxicity

Project description:This SuperSeries is composed of the SubSeries listed below.

2022-03-04 | GSE154755 | GEO

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Project description:Transcriptional expression data for bioactive small molecules for mechanism identification. Keywords: Expression profiling by array MCF7 cells were treated with either NSC76022 (thaspine) or DMSO control for six hours, to identify compound specific gene regulation.

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