MapMECFS
From MEpedia, a crowd-sourced encyclopedia of ME and CFS science and history
mapMECFS or mapME/CFS is an American data sharing initiative for ME/CFS, which provides increased data sharing from biological research into the disease ME/CFS.[1] Types of biological data accessible through mapMECFS include:
- Gene expression
- Cytokine assays
- Metabolomics
- miRNA,and
- Methylation[2]
Notable people[edit | edit source]
Aims[edit | edit source]
The mapMECFS website states it aims to enable researchers to gain a "broader view of ME/CFS" by:
- Bringing together the data that researchers have collected across the multiple systems affected by ME/CFS
- Providing a dynamic navigation portal to search across these domains
- Facilitating the integration of complementary data types to offer a new, more complete picture of the disorder[2][3]
Notable studies and research publications[edit | edit source]
- mapMECFS manuscript[3] - (Full text, not peer reviewed)
- 2021, RESEARCH mapMECFS: a portal to enhance data discovery across biological disciplines and collaborative sites[4] - (Full text)
Funding[edit | edit source]
The National Institute of Neurological Disorders and Stroke of the National Institutes of Health are providing funding for MapMECFS, under grant award number U24NS105535.[2][3]
Online presence[edit | edit source]
- PubMed
- Website
- YouTube
See also[edit | edit source]
Learn more[edit | edit source]
References[edit | edit source]
- ↑ "Welcome". mapMECFS. Retrieved September 17, 2022.
- ↑ 2.0 2.1 2.2 "About". mapMECFS. Retrieved September 17, 2022.
- ↑ 3.0 3.1 3.2 "mapMECFS: a portal to enhance data discovery across biological disciplines and collaborative sites". ResearchSquare. May 13, 2021. doi:10.21203/rs.3.rs-522847/v1. Retrieved September 17, 2022.
- ↑ Mathur, Ravi; Carnes, Megan U.; Harding, Alexander; Moore, Amy; Thomas, Ian; Giarrocco, Alex; Long, Michael; Underwood, Marcia; Townsend, Christopher; Ruiz-Esparza, Roman; Barnette, Quinn (November 8, 2021). "mapMECFS: a portal to enhance data discovery across biological disciplines and collaborative sites". Journal of Translational Medicine. 19 (1): 461. doi:10.1186/s12967-021-03127-3. ISSN 1479-5876. PMC 8576927. PMID 34749736.
