Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Exploring the molecular mechanism of action of a mono-herbal formulation of Ayurveda Cesamplous pareira

ABSTRACT: Exploring the molecular mechanism of action of a mono-herbal formulation of Ayurveda Cesamplous pareira

PROVIDER: PRJNA657993 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Exploring the molecular mechanism of action of a mono-herbal formulation of Ayurveda Cesamplous pareira

Project description:Drugs used in traditional medicine are multisystemicand hence are amenable to repurposing. This coupled with the history of safe usage make it possible for practitioners to rapidly evolve therapies for contemporary diseases. We provide a unique framework that combines principles of Ayurveda with transcriptome signatures of drugs, disease and connectivity map that provides a molecular basis for the traditional uses as well as novel leads for drug repurposing. This study has assumed immense importance as we demonstrate its application in a herbal extract of Cissampelos pareira (Cipa) traditionally used to treat diverse disorders such as female reproductive disorders and fevers, for repurposing in a contemporary pandemic, COVID-19. Gene expression studies using gene ontology and GSEA on MCF7 cell lines treated with Cipa extract reveal downregulation of pathways linked to lipid metabolism, protein processing and estrogen response. Estradiol and tamoxifen binding domain of estrogen receptor alpha is shared by nearly 38 constituents of Cipa having ERα BE ranging from -10.2 to -6.1KJ/mole. Transcriptome signatures were analysed and queried in connectivity map (clue.io) show positive connectivity with protein synthesis inhibitors such as Emetine (99.61), Cycloheximide (99.86) and Homoharringtonine (99.51). Cipa shows a very high positive connectivity (>90) with knockdown signature of RPL7 (99.92), UBA52 (99.76) and RPS6 (98.63) that are linked to protein synthesis and anti-viral mechanisms. When the cmap interface was used to query the links between Cipa and COVID19 signatures we found that CIPA signatures are opposite to COVID-19 BALF signatures in connectivity map, which is also resonated in literature as CIPA transcription signatures intersect with implicated molecular pathways and prioritized family of compounds envisaged for COVID-19 from diverse resources.

2020-09-30 | GSE156445 | GEO

Impact of poly herbal formulation (PHF) on transcriptome profiling of chickens

Project description:Impact of poly herbal formulation (PHF) on transcriptome profiling of chickens

| PRJNA472663 | ENA

Digital transformation of herbal medicine: Conversion to biological entity data using tonifying herbal medicine-induced transcriptome sequencing_SW1783_batchD

Project description:This study aimed to identify transcript expression induced by tonifying herbal medicines (THM) and modes of action (MOA) of THM in A549 cell line. For the production of THM-induced transcripts, tonifying herbal medicines water extract (THW) and tonifying herbal medicines ethanol extract (THE) were used.

2024-06-21 | GSE245907 | GEO

Digital transformation of herbal medicine: Conversion to biological entity data using tonifying herbal medicine-induced transcriptome sequencing_HT29_batchA

Project description:This study aimed to identify transcript expression induced by tonifying herbal medicines (THM) and modes of action (MOA) of THM in HT29 cell line. For the production of THM-induced transcripts, tonifying herbal medicines water extract (THW) and tonifying herbal medicines ethanol extract (THE) were used.

2024-06-21 | GSE244689 | GEO

Digital transformation of herbal medicine: Conversion to biological entity data using tonifying herbal medicine-induced transcriptome sequencing_A549_batchE

2024-06-21 | GSE244686 | GEO

Digital transformation of herbal medicine: Conversion to biological entity data using tonifying herbal medicine-induced transcriptome sequencing_SW1783_batchF

2024-06-21 | GSE245911 | GEO

Digital transformation of herbal medicine: Conversion to biological entity data using tonifying herbal medicine-induced transcriptome sequencing_SW1783_batchE

2024-06-21 | GSE245910 | GEO

Digital transformation of herbal medicine: Conversion to biological entity data using tonifying herbal medicine-induced transcriptome sequencing_SW1783_batchC

2024-06-21 | GSE245903 | GEO

Digital transformation of herbal medicine: Conversion to biological entity data using tonifying herbal medicine-induced transcriptome sequencing_SW1783_batchB

2024-06-21 | GSE245898 | GEO

Digital transformation of herbal medicine: Conversion to biological entity data using tonifying herbal medicine-induced transcriptome sequencing_HepG2_batchE