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PubMed=29125828; DOI=10.1242/dmm.030536; PMCID=PMC5719256
Napierala J.S., Li Y.-J., Lu Y., Lin K., Hauser L.A., Lynch D.R., Napierala M.
Comprehensive analysis of gene expression patterns in Friedreich's ataxia fibroblasts by RNA sequencing reveals altered levels of protein synthesis factors and solute carriers.
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PubMed=30567591; DOI=10.1186/s13059-018-1599-6; PMCID=PMC6300908
Fleischer J.G., Schulte R., Tsai H.H., Tyagi S., Ibarra A., Shokhirev M.N., Huang L., Hetzer M.W., Navlakha S.
Predicting age from the transcriptome of human dermal fibroblasts.
Genome Biol. 19:221.1-221.8(2018)

PubMed=32291635; DOI=10.1007/s12035-020-01899-1; PMCID=PMC7253519
Misiorek J.O., Schreiber A.M., Urbanek-Trzeciak M.O., Hauser L.A., Lynch D.R., Napierala J.S., Napierala M.
A comprehensive transcriptome analysis identifies FXN and BDNF as novel targets of miRNAs in Friedreich's ataxia patients.
Mol. Neurobiol. 57:2639-2653(2020)

PubMed=35850241; DOI=10.1016/j.jlr.2022.100255; PMCID=PMC9399481
Wang D.-Z., Ho E.S., Cotticelli M.G., Xu J.P.-N., Napierala J.S., Hauser L.A., Napierala M., Himes B.E., Wilson R.B., Lynch D.R., Mesaros C.
Skin fibroblast metabolomic profiling reveals that lipid dysfunction predicts the severity of Friedreich's ataxia.
J. Lipid Res. 63:100255.1-100255.14(2022)