Our MECFSnet collaborator, RTI, which operates the Data Management and Coordinating Center (DMCC) for the NIH ME/CFS Centers, has officially launched two research tools – mapMECFS and searchMECFS.
With mapMECFS, the Cornell ME/CFS Collaborative Research Center has worked promptly to submit data to the network. A total of 8 datasets are available. Below lists the publications from which the datasets have been uploaded.
- Germain, A.; Levine, S.M.; Hanson, M.R. In-Depth Analysis of the Plasma Proteome in ME/CFS Exposes Disrupted Ephrin-Eph and Immune System Signaling. Proteomes 2021, 9, 6. (Fully and partially normalized uploaded separately)
- Germain, A.; Barupal, D.K.; Levine, S.M.; Hanson, M.R. Comprehensive Circulatory Metabolomics in ME/CFS Reveals Disrupted Metabolism of Acyl Lipids and Steroids. Metabolites 2020, 10, 34. (Global metabolites and Lipidomics uploaded separately)
- Mandarano AH, Giloteaux L, Keller BA, Levine SM, Hanson MR. 2018. Eukaryotes in the gut microbiota in myalgic encephalomyelitis/chronic fatigue syndrome. PeerJ 6:e4282
- Billing-Ross, P., Germain, A., Ye, K. et al. Mitochondrial DNA variants correlate with symptoms in myalgic encephalomyelitis/chronic fatigue syndrome. J Transl Med 14, 19 (2016).
- Germain A, Ruppert D, Levine SM, Hanson MR. Metabolic profiling of a myalgic encephalomyelitis/chronic fatigue syndrome discovery cohort reveals disturbances in fatty acid and lipid metabolism. Mol Biosyst. 2017 Jan 31;13(2):371-379.
- Giloteaux, L., Goodrich, J.K., Walters, W.A. et al. Reduced diversity and altered composition of the gut microbiome in individuals with myalgic encephalomyelitis/chronic fatigue syndrome. Microbiome 4, 30 (2016).
Read more to see the full announcement from RTI.
MECFS Network DMCC Launches Two Tools to Advance ME/CFS Research
RTI International has developed two new research tools to help advance myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) research. The tools are now available and allow researchers to access and share data and biospecimens.
As the Data Management and Coordinating Center (DMCC) for the National Institutes of Health (NIH)-funded ME/CFS Collaborative Research Centers Network (MECFSnet), RTI provides infrastructure and support to foster collaborative, multi-site research. As part of these activities, RTI has developed new research tools to accelerate the pace of learning about the biological processes that cause ME/CFS and identifying targets for better diagnosis and treatment.
mapMECFS is an online data sharing platform that allows researchers to discover, share, and access data from multi-omic studies. The tool allows researchers to search the contents of data sets across multiple studies, quickly compare results for specific molecules or markers of interest and download relevant data to be used for exploration or validation studies. The platform also encourages and facilitates sharing of new data by capturing key study metadata to make results easier to find, enabling a broader view of published research and facilitating data sharing and discovery.
searchMECFS is an online, interactive search tool that allows researchers to query and request available biospecimens (e.g., DNA, RNA, urine, plasma, and peripheral blood mononuclear cells) based on specific demographic and clinical characteristics. It facilitates the use of biospecimens for research on ME/CFS by using the study participants’ demographic and clinical characteristics to identify specific biospecimens available for research purposes.
The search MECFS tool also enables researchers to determine biospecimen availability and helps initiate the process of applying for access to biospecimens to be used in research studies. Investigators may also request access to just the clinical data for analysis. Currently, searchMECFS houses clinical data from the Chronic Fatigue Initiative study and information about associated biospecimens; however, long-term goals include adding additional ME/CFS datasets and biospecimens.