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Discovering Venom-Derived Drug Candidates Using Differential Gene Expression
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 p...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10467105/ https://www.ncbi.nlm.nih.gov/pubmed/37505720 http://dx.doi.org/10.3390/toxins15070451 |
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author | Romano, Joseph D. Li, Hai Napolitano, Tanya Realubit, Ronald Karan, Charles Holford, Mandë Tatonetti, Nicholas P. |
author_facet | Romano, Joseph D. Li, Hai Napolitano, Tanya Realubit, Ronald Karan, Charles Holford, Mandë Tatonetti, Nicholas P. |
author_sort | Romano, Joseph D. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10467105 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104671052023-08-31 Discovering Venom-Derived Drug Candidates Using Differential Gene Expression Romano, Joseph D. Li, Hai Napolitano, Tanya Realubit, Ronald Karan, Charles Holford, Mandë Tatonetti, Nicholas P. Toxins (Basel) Article 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. MDPI 2023-07-09 /pmc/articles/PMC10467105/ /pubmed/37505720 http://dx.doi.org/10.3390/toxins15070451 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Romano, Joseph D. Li, Hai Napolitano, Tanya Realubit, Ronald Karan, Charles Holford, Mandë Tatonetti, Nicholas P. Discovering Venom-Derived Drug Candidates Using Differential Gene Expression |
title | Discovering Venom-Derived Drug Candidates Using Differential Gene Expression |
title_full | Discovering Venom-Derived Drug Candidates Using Differential Gene Expression |
title_fullStr | Discovering Venom-Derived Drug Candidates Using Differential Gene Expression |
title_full_unstemmed | Discovering Venom-Derived Drug Candidates Using Differential Gene Expression |
title_short | Discovering Venom-Derived Drug Candidates Using Differential Gene Expression |
title_sort | discovering venom-derived drug candidates using differential gene expression |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10467105/ https://www.ncbi.nlm.nih.gov/pubmed/37505720 http://dx.doi.org/10.3390/toxins15070451 |
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