Discovering Venom-Derived Drug Candidates Using Differential Gene Expression.
RNA-Seq
drug discovery
systems biology
transcriptomics
translational bioinformatics
venoms
Journal
Toxins
ISSN: 2072-6651
Titre abrégé: Toxins (Basel)
Pays: Switzerland
ID NLM: 101530765
Informations de publication
Date de publication:
09 07 2023
09 07 2023
Historique:
received:
15
05
2023
revised:
16
06
2023
accepted:
07
07
2023
medline:
31
7
2023
pubmed:
28
7
2023
entrez:
28
7
2023
Statut:
epublish
Résumé
Venoms are a diverse and complex group of natural toxins that have been adapted to treat many types of human disease, but rigorous computational approaches for discovering new therapeutic activities are scarce. We have designed and validated a new platform-named VenomSeq-to systematically identify putative associations between venoms and drugs/diseases via high-throughput transcriptomics and perturbational differential gene expression analysis. In this study, we describe the architecture of VenomSeq and its evaluation using the crude venoms from 25 diverse animal species and 9 purified teretoxin peptides. By integrating comparisons to public repositories of differential expression, associations between regulatory networks and disease, and existing knowledge of venom activity, we provide a number of new therapeutic hypotheses linking venoms to human diseases supported by multiple layers of preliminary evidence.
Identifiants
pubmed: 37505720
pii: toxins15070451
doi: 10.3390/toxins15070451
pmc: PMC10467105
pii:
doi:
Substances chimiques
Venoms
0
Peptides
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NCI NIH HHS
ID : U54 CA221704
Pays : United States
Organisme : NIEHS NIH HHS
ID : P30 ES013508
Pays : United States
Organisme : NCI NIH HHS
ID : U54-CA221704
Pays : United States
Organisme : NLM NIH HHS
ID : R00 LM013646
Pays : United States
Organisme : NIEHS NIH HHS
ID : P30-ES013508
Pays : United States
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