PhenoPlasm: a database of disruption phenotypes for malaria parasite genes [version 1; referees: 2 approved]

Two decades after the first Plasmodium transfection, attempts have been made to disrupt more than 3,151 genes in malaria parasites, across five Plasmodium species. While results from rodent malaria transfections have been curated and systematised, empowering large-scale analysis, phenotypic data fro...

Full description

Bibliographic Details
Main Authors: Theo Sanderson, Julian C. Rayner
Format: Article
Language:English
Published: Wellcome 2017-06-01
Series:Wellcome Open Research
Subjects:
Online Access:https://wellcomeopenresearch.org/articles/2-45/v1
_version_ 1818194132537966592
author Theo Sanderson
Julian C. Rayner
author_facet Theo Sanderson
Julian C. Rayner
author_sort Theo Sanderson
collection DOAJ
description Two decades after the first Plasmodium transfection, attempts have been made to disrupt more than 3,151 genes in malaria parasites, across five Plasmodium species. While results from rodent malaria transfections have been curated and systematised, empowering large-scale analysis, phenotypic data from human malaria parasite transfections currently exists as individual reports scattered across a the literature. To facilitate systematic analysis of published experimental genetic data across Plasmodium species, we have built PhenoPlasm (http://www.phenoplasm.org), a database of phenotypes generated by transfection experiments in all Plasmodium parasites. The site provides a simple interface linking citation-backed Plasmodium reverse-genetic phenotypes to gene IDs. The database has been populated with phenotypic data on 367 P. falciparum genes, curated from 176 individual publications, as well as existing data on rodent Plasmodium species from RMgmDB and PlasmoGEM. This is the first time that all available data on P. falciparum transfection experiments has been brought together in a single place. These data are presented using ortholog mapping to allow a researcher interested in a gene in one species to see results across other Plasmodium species. The collaborative nature of the database enables any researcher to add new phenotypes as they are discovered. As an example of database utility, we use the currently available datasets to identify RAP (RNA-binding domain abundant in Apicomplexa)-domain containing proteins as crucial to parasite survival.
first_indexed 2024-12-12T00:57:26Z
format Article
id doaj.art-799127e292cb4019a813ac34e14d3222
institution Directory Open Access Journal
issn 2398-502X
language English
last_indexed 2024-12-12T00:57:26Z
publishDate 2017-06-01
publisher Wellcome
record_format Article
series Wellcome Open Research
spelling doaj.art-799127e292cb4019a813ac34e14d32222022-12-22T00:43:50ZengWellcomeWellcome Open Research2398-502X2017-06-01210.12688/wellcomeopenres.11896.112855PhenoPlasm: a database of disruption phenotypes for malaria parasite genes [version 1; referees: 2 approved]Theo Sanderson0Julian C. Rayner1Malaria Programme, Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UKMalaria Programme, Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UKTwo decades after the first Plasmodium transfection, attempts have been made to disrupt more than 3,151 genes in malaria parasites, across five Plasmodium species. While results from rodent malaria transfections have been curated and systematised, empowering large-scale analysis, phenotypic data from human malaria parasite transfections currently exists as individual reports scattered across a the literature. To facilitate systematic analysis of published experimental genetic data across Plasmodium species, we have built PhenoPlasm (http://www.phenoplasm.org), a database of phenotypes generated by transfection experiments in all Plasmodium parasites. The site provides a simple interface linking citation-backed Plasmodium reverse-genetic phenotypes to gene IDs. The database has been populated with phenotypic data on 367 P. falciparum genes, curated from 176 individual publications, as well as existing data on rodent Plasmodium species from RMgmDB and PlasmoGEM. This is the first time that all available data on P. falciparum transfection experiments has been brought together in a single place. These data are presented using ortholog mapping to allow a researcher interested in a gene in one species to see results across other Plasmodium species. The collaborative nature of the database enables any researcher to add new phenotypes as they are discovered. As an example of database utility, we use the currently available datasets to identify RAP (RNA-binding domain abundant in Apicomplexa)-domain containing proteins as crucial to parasite survival.https://wellcomeopenresearch.org/articles/2-45/v1Data SharingGenomicsParasitology
spellingShingle Theo Sanderson
Julian C. Rayner
PhenoPlasm: a database of disruption phenotypes for malaria parasite genes [version 1; referees: 2 approved]
Wellcome Open Research
Data Sharing
Genomics
Parasitology
title PhenoPlasm: a database of disruption phenotypes for malaria parasite genes [version 1; referees: 2 approved]
title_full PhenoPlasm: a database of disruption phenotypes for malaria parasite genes [version 1; referees: 2 approved]
title_fullStr PhenoPlasm: a database of disruption phenotypes for malaria parasite genes [version 1; referees: 2 approved]
title_full_unstemmed PhenoPlasm: a database of disruption phenotypes for malaria parasite genes [version 1; referees: 2 approved]
title_short PhenoPlasm: a database of disruption phenotypes for malaria parasite genes [version 1; referees: 2 approved]
title_sort phenoplasm a database of disruption phenotypes for malaria parasite genes version 1 referees 2 approved
topic Data Sharing
Genomics
Parasitology
url https://wellcomeopenresearch.org/articles/2-45/v1
work_keys_str_mv AT theosanderson phenoplasmadatabaseofdisruptionphenotypesformalariaparasitegenesversion1referees2approved
AT juliancrayner phenoplasmadatabaseofdisruptionphenotypesformalariaparasitegenesversion1referees2approved