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Dataset supporting the University of Southampton Doctoral Thesis "Effects of active ingredients from Limonium Sinense (Girard) Kuntze extracts: a potential link with hypoxia-inducible factor (HIF) activation".

Dataset supporting the University of Southampton Doctoral Thesis "Effects of active ingredients from Limonium Sinense (Girard) Kuntze extracts: a potential link with hypoxia-inducible factor (HIF) activation".
Dataset supporting the University of Southampton Doctoral Thesis "Effects of active ingredients from Limonium Sinense (Girard) Kuntze extracts: a potential link with hypoxia-inducible factor (HIF) activation".
Dataset supporting the University of Southampton Doctoral Thesis "Effects of active ingredients from Limonium Sinense (Girard) Kuntze extracts: a potential link with hypoxia-inducible factor (HIF) activation". This study investigated the effects of bioactive ingredients from Limonium Sinense and elucidated their underlying mechanisms. The therapeutic effects of Limonium Sinense were predicted using a network pharmacology approach. The active ingredients of Limonium Sinense were collected from published literature, and the potential targets related to Limonium Sinense were obtained from public databases. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and DisGeNET enrichment analyses were performed to explore the underlying mechanisms. Molecular docking and Gene Expression Omnibus (GEO) datasets were employed to further evaluate the findings. Integrated analysis including bioinformatic analysis and in vitro experiments was employed to explore the effects of bioactive ingredients from Limonium Sinense, such as CellTiter-Glo® Luminescent cell viability assay was performed in 2D- and 3D-cultured cells, as well as flow cytometry, qRT-PCR, western blot, immunofluorescence microscopy and luciferase reporter analyses. RNA-seq coupled with bioinformatics was utilized to characterize the global transcriptomic changes and biological effects. HPLC was used to identify the components within Limonium Sinense. A structure-based virtual screening approach was conducted to identify potential inhibitors of prolyl hydroxylase domain protein 2 (PHD2) from Hydroxybenzoic acids and their derives. The dataset includes three zipped files: Part I, Part II and Part III. Part I is the raw data for the published paper "Integrated analysis reveals effects of bioactive ingredients from Limonium Sinense (Girard) Kuntze on hypoxia-inducible factor (HIF) activation". Part II is the raw data for the published paper "Integrated network pharmacology and cellular assay reveal the biological mechanisms of Limonium sinense (Girard) Kuntze against Breast cancer". Part III is the raw data for the "Chapter 5 Identification of small molecules as potential inhibitors of PHD2 from Hydroxybenzoic acids and their derives using structure-based virtual screening" in the thesis. All the raw data is in excel format as well as powerpoint and images supporting the data. Related projects/Funders: Medical Research Council [grant no: MR/S025480/1] Academy of Medical Sciences/the Wellcome Trust Springboard Award [grant no: SBF002/1038]
University of Southampton
Zhao, Hualong
3a22bec4-2334-4036-a0c3-2d9c78ab3717
Wang, Yihua
f5044a95-60a7-42d2-87d6-5f1f789e3a7e
Ewing, Rob
022c5b04-da20-4e55-8088-44d0dc9935ae
Williamson, Phil
0b7715c6-b60e-4e95-a1b1-6afc8b9f372a
Ertay, Ayse
73607145-329d-49bb-9506-5972b8c0e434
Zhou, Yilu
1878565d-39e6-467d-a027-7320bf4cdaf2
Wang, Siyuan
acd240a7-88a9-49be-b895-6c0b7d95139e
Zhao, Hualong
3a22bec4-2334-4036-a0c3-2d9c78ab3717
Wang, Yihua
f5044a95-60a7-42d2-87d6-5f1f789e3a7e
Ewing, Rob
022c5b04-da20-4e55-8088-44d0dc9935ae
Williamson, Phil
0b7715c6-b60e-4e95-a1b1-6afc8b9f372a
Ertay, Ayse
73607145-329d-49bb-9506-5972b8c0e434
Zhou, Yilu
1878565d-39e6-467d-a027-7320bf4cdaf2
Wang, Siyuan
acd240a7-88a9-49be-b895-6c0b7d95139e

Zhao, Hualong (2024) Dataset supporting the University of Southampton Doctoral Thesis "Effects of active ingredients from Limonium Sinense (Girard) Kuntze extracts: a potential link with hypoxia-inducible factor (HIF) activation". University of Southampton doi:10.5258/SOTON/D2989 [Dataset]

Record type: Dataset

Abstract

Dataset supporting the University of Southampton Doctoral Thesis "Effects of active ingredients from Limonium Sinense (Girard) Kuntze extracts: a potential link with hypoxia-inducible factor (HIF) activation". This study investigated the effects of bioactive ingredients from Limonium Sinense and elucidated their underlying mechanisms. The therapeutic effects of Limonium Sinense were predicted using a network pharmacology approach. The active ingredients of Limonium Sinense were collected from published literature, and the potential targets related to Limonium Sinense were obtained from public databases. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and DisGeNET enrichment analyses were performed to explore the underlying mechanisms. Molecular docking and Gene Expression Omnibus (GEO) datasets were employed to further evaluate the findings. Integrated analysis including bioinformatic analysis and in vitro experiments was employed to explore the effects of bioactive ingredients from Limonium Sinense, such as CellTiter-Glo® Luminescent cell viability assay was performed in 2D- and 3D-cultured cells, as well as flow cytometry, qRT-PCR, western blot, immunofluorescence microscopy and luciferase reporter analyses. RNA-seq coupled with bioinformatics was utilized to characterize the global transcriptomic changes and biological effects. HPLC was used to identify the components within Limonium Sinense. A structure-based virtual screening approach was conducted to identify potential inhibitors of prolyl hydroxylase domain protein 2 (PHD2) from Hydroxybenzoic acids and their derives. The dataset includes three zipped files: Part I, Part II and Part III. Part I is the raw data for the published paper "Integrated analysis reveals effects of bioactive ingredients from Limonium Sinense (Girard) Kuntze on hypoxia-inducible factor (HIF) activation". Part II is the raw data for the published paper "Integrated network pharmacology and cellular assay reveal the biological mechanisms of Limonium sinense (Girard) Kuntze against Breast cancer". Part III is the raw data for the "Chapter 5 Identification of small molecules as potential inhibitors of PHD2 from Hydroxybenzoic acids and their derives using structure-based virtual screening" in the thesis. All the raw data is in excel format as well as powerpoint and images supporting the data. Related projects/Funders: Medical Research Council [grant no: MR/S025480/1] Academy of Medical Sciences/the Wellcome Trust Springboard Award [grant no: SBF002/1038]

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PART_I.zip - Dataset
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PART_II.zip - Dataset
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PART_III.zip - Dataset
Available under License Creative Commons Attribution.
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Text
D2989_thesis_readme.txt - Dataset
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Published date: 1 March 2024

Identifiers

Local EPrints ID: 487778
URI: http://eprints.soton.ac.uk/id/eprint/487778
PURE UUID: b67aa46c-ab1a-4e8f-b669-4a5d3afd11f0
ORCID for Hualong Zhao: ORCID iD orcid.org/0000-0002-5009-1444
ORCID for Yihua Wang: ORCID iD orcid.org/0000-0001-5561-0648
ORCID for Rob Ewing: ORCID iD orcid.org/0000-0001-6510-4001
ORCID for Phil Williamson: ORCID iD orcid.org/0000-0002-0231-8640
ORCID for Yilu Zhou: ORCID iD orcid.org/0000-0002-4090-099X

Catalogue record

Date deposited: 05 Mar 2024 18:06
Last modified: 07 Mar 2024 02:59

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Contributors

Creator: Hualong Zhao ORCID iD
Research team head: Yihua Wang ORCID iD
Research team head: Rob Ewing ORCID iD
Research team head: Phil Williamson ORCID iD
Contributor: Ayse Ertay
Contributor: Yilu Zhou ORCID iD
Contributor: Siyuan Wang

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