Schlame, M. & Xu, Y. The function of tafazzin, a mitochondrial phospholipid-lysophospholipid acyltransferase. J. Mol. Biol. 432, 5043\u20135051 (2020).<\/p>\n
CAS<\/a>\u00a0 Schlame, M. & Ren, M. Barth syndrome, a human disorder of cardiolipin metabolism. FEBS Lett. 580, 5450\u20135455 (2006).<\/p>\n CAS<\/a>\u00a0 Hornby, B. et al. Natural history comparison study to assess the efficacy of elamipretide in patients with Barth syndrome. Orphanet J. Rare Dis. 17, 336 (2022).<\/p>\n PubMed<\/a>\u00a0 Kim, A. Y., Vernon, H., Manuel, R., Almuqbil, M. & Hornby, B. Quality of life in Barth syndrome. Ther. Adv. Rare Dis. 3, 26330040221093743 (2022).<\/p>\n PubMed<\/a>\u00a0 Sabbah, H. N., Taylor, C. & Vernon, H. J. Temporal evolution of the heart failure phenotype in Barth syndrome and treatment with elamipretide. Future Cardiol. 19, 211\u2013225 (2023).<\/p>\n CAS<\/a>\u00a0 Taylor, C. et al. Clinical presentation and natural history of Barth syndrome: an overview. J. Inherit. Metab. Dis. 45, 7\u201316 (2022).<\/p>\n PubMed<\/a>\u00a0 Wang, S. et al. Genetic modifiers modulate phenotypic expression of tafazzin deficiency in a mouse model of Barth syndrome. Hum. Mol. Genet. 32, 2055\u20132067 (2023).<\/p>\n CAS<\/a>\u00a0 He, Q. & Han, X. Cardiolipin remodeling in diabetic heart. Chem. Phys. Lipids 179, 75\u201381 (2014).<\/p>\n ADS<\/a>\u00a0 Zhu, S. et al. Cardiolipin remodeling defects impair mitochondrial architecture and function in a murine model of Barth syndrome cardiomyopathy. Circ. Heart Fail. https:\/\/doi.org\/10.1161\/CIRCHEARTFAILURE.121.008289<\/a> (2021).<\/p>\n Whited, K., Baile, M. G., Currier, P. & Claypool, S. M. Seven functional classes of Barth syndrome mutation. Hum. Mol. Genet. 22, 483\u2013492 (2013).<\/p>\n CAS<\/a>\u00a0 Anzmann, A. F. et al. Diverse mitochondrial abnormalities in a new cellular model of TAFFAZZIN deficiency are remediated by cardiolipin-interacting small molecules. J. Biol. Chem. 297, 101005 (2021).<\/p>\n CAS<\/a>\u00a0 Costanzo, M. et al. Global genetic networks and the genotype-to-phenotype relationship. Cell 177, https:\/\/doi.org\/10.1016\/j.cell.2019.01.033<\/a> (2019).<\/p>\n Chen, R. et al. Analysis of 589,306 genomes identifies individuals resilient to severe Mendelian childhood diseases. Nat. Biotechnol. 34, 531\u2013538 (2016).<\/p>\n CAS<\/a>\u00a0 Pu, W. T. Experimental models of Barth syndrome. J. Inherit. Metab. Dis. 45, 72\u201381 (2022).<\/p>\n PubMed<\/a>\u00a0 Aregger, M. et al. Systematic mapping of genetic interactions for de novo fatty acid synthesis identifies C12orf49 as a regulator of lipid metabolism. Nat. Metab. 2, https:\/\/doi.org\/10.1038\/s42255-020-0211-z<\/a> (2020).<\/p>\n Blomen, V. A. et al. Gene essentiality and synthetic lethality in haploid human cells. Science 350, 1092\u20131096 (2015).<\/p>\n ADS<\/a>\u00a0 Mair, B. et al. Essential gene profiles for human pluripotent stem cells identify uncharacterized genes and substrate dependencies. Cell Rep. 27, 599\u2013615 (2019).<\/p>\n CAS<\/a>\u00a0 Tsherniak, A. et al. Defining a cancer dependency map. Cell 170, 564\u2013576 (2017).<\/p>\n CAS<\/a>\u00a0 Bachovchin, D. A. & Cravatt, B. F. The pharmacological landscape and therapeutic potential of serine hydrolases. Nat. Rev. Drug Discov. 11, 52\u201368 (2012).<\/p>\n CAS<\/a>\u00a0 Morgenstern, M. et al. Quantitative high-confidence human mitochondrial proteome and its dynamics in cellular context. Cell Metab. 33, 2464\u20132483 (2021).<\/p>\n CAS<\/a>\u00a0 Price, T. R. et al. Lipidomic QTL in Diversity Outbred mice identifies a novel function for \u03b1\/\u03b2 hydrolase domain 2 (Abhd2) as an enzyme that metabolizes phosphatidylcholine and cardiolipin. PLoS Genet. 19, e1010713 (2023).<\/p>\n CAS<\/a>\u00a0 Long, J. Z. & Cravatt, B. F. The metabolic serine hydrolases and their functions in mammalian physiology and disease. Chem. Rev. 111, 6022\u20136063 (2011).<\/p>\n CAS<\/a>\u00a0 Brandner, K. et al. Taz1, an outer mitochondrial membrane protein, affects stability and assembly of inner membrane protein complexes: implications for Barth syndrome. Mol. Biol. Cell 16, 5202\u20135214 (2005).<\/p>\n CAS<\/a>\u00a0 Le, C. H. et al. Tafazzin deficiency impairs CoA-dependent oxidative metabolism in cardiac mitochondria. J. Biol. Chem. 295, 12485\u201312497 (2020).<\/p>\n CAS<\/a>\u00a0 Seneviratne, A. K. et al. The mitochondrial transacylase, tafazzin, regulates for AML stemness by modulating intracellular levels of phospholipids. Cell Stem Cell 24, 621\u2013636 (2019).<\/p>\n CAS<\/a>\u00a0 Beranek, A. et al. Identification of a cardiolipin-specific phospholipase encoded by the gene CLD1 (YGR110W) in yeast. J. Biol. Chem. 284, 11572\u201311578 (2009).<\/p>\n CAS<\/a>\u00a0 Huang, Y. et al. Cardiac metabolic pathways affected in the mouse model of Barth syndrome. PLoS ONE 10, e0128561 (2015).<\/p>\n PubMed<\/a>\u00a0 Kutschka, I. et al. Activation of the integrated stress response rewires cardiac metabolism in Barth syndrome. Basic Res. Cardiol. 118, 47 (2023).<\/p>\n CAS<\/a>\u00a0 Liu, O., Chinni, B. K., Manlhiot, C. & Vernon, H. J. FGF21 and GDF15 are elevated in Barth syndrome and are correlated to important clinical measures. Mol. Genet. Metab. 140, 107676 (2023).<\/p>\n CAS<\/a>\u00a0 Tung, C. et al. Elamipretide: a review of its structure, mechanism of action, and therapeutic potential. Int. J. Mol. Sci. 26, https:\/\/doi.org\/10.3390\/ijms26030944<\/a> (2025).<\/p>\n Bononi, G., Tuccinardi, T., Rizzolio, F. & Granchi, C. \u03b1\/\u03b2-Hydrolase domain (ABHD) inhibitors as new potential therapeutic options against lipid-related diseases. J. Med. Chem. 64, 9759\u20139785 (2021).<\/p>\n CAS<\/a>\u00a0 Ben Ali, Y. et al. Use of an inhibitor to identify members of the hormone-sensitive lipase family. Biochemistry 45, 14183\u201314191 (2006).<\/p>\n PubMed<\/a>\u00a0 Duncan, A. L. Monolysocardiolipin (MLCL) interactions with mitochondrial membrane proteins. Biochem. Soc. Trans. 48, 993\u20131004 (2020).<\/p>\n CAS<\/a>\u00a0 Burkhalter, M. D. et al. Imbalanced mitochondrial function provokes heterotaxy via aberrant ciliogenesis. J. Clin. Invest. 129, 2841\u20132855 (2019).<\/p>\n PubMed<\/a>\u00a0 Lonsdale, J. et al. The Genotype-Tissue Expression (GTEx) project. Nat. Genet. 45, 580\u2013585 (2013).<\/p>\n CAS<\/a>\u00a0 Ghandi, M. et al. Next-generation characterization of the Cancer Cell Line Encyclopedia. Nature 569, 503\u2013508 (2019).<\/p>\n ADS<\/a>\u00a0 Lesurf, R. et al. Whole genome sequencing delineates regulatory, copy number, and cryptic splice variants in early onset cardiomyopathy. npj Genom. Med. 7, 18 (2022).<\/p>\n CAS<\/a>\u00a0 Carney, O. S. et al. Stem cell models of TAFAZZIN deficiency reveal novel tissue-specific pathologies in Barth syndrome. Hum. Mol. Genet. 34, 101\u2013115 (2024).<\/p>\n Ye, C. et al. Deletion of the cardiolipin-specific phospholipase Cld1 rescues growth and life span defects in the tafazzin mutant: implications for Barth syndrome. J. Biol. Chem. 289, 3114\u20133125 (2014).<\/p>\n CAS<\/a>\u00a0 Tyurina, Y. Y. et al. Lipidomics characterization of biosynthetic and remodeling pathways of cardiolipins in genetically and nutritionally manipulated yeast cells. ACS Chem. Biol. 12, 265\u2013281 (2017).<\/p>\n CAS<\/a>\u00a0 Dudek, J. et al. Cardiolipin deficiency affects respiratory chain function and organization in an induced pluripotent stem cell model of Barth syndrome. Stem Cell Res 11, 806\u2013819 (2013).<\/p>\n CAS<\/a>\u00a0 McKenzie, M., Lazarou, M., Thorburn, D. R. & Ryan, M. T. Mitochondrial respiratory chain supercomplexes are destabilized in Barth syndrome patients. J. Mol. Biol. 361, 462\u2013469 (2006).<\/p>\n CAS<\/a>\u00a0 Zong, S. et al. Structure of the intact 14-subunit human cytochrome c oxidase. Cell Res 28, 1026\u20131034 (2018).<\/p>\n CAS<\/a>\u00a0 Musatov, A. & Robinson, N. C. Bound cardiolipin is essential for cytochrome c oxidase proton translocation. Biochimie 105, https:\/\/doi.org\/10.1016\/j.biochi.2014.07.005<\/a> (2014).<\/p>\n Sedl\u00e1k, E. & Robinson, N. C. Destabilization of the quaternary structure of bovine heart cytochrome c oxidase upon removal of tightly bound cardiolipin. Biochemistry 54, https:\/\/doi.org\/10.1021\/acs.biochem.5b00540<\/a> (2015).<\/p>\n Benegiamo, G. et al. COX7A2L genetic variants determine cardiorespiratory fitness in mice and human. Nat. Metab. 4, 1336\u20131351 (2022).<\/p>\n CAS<\/a>\u00a0 P\u00e9rez-P\u00e9rez, R. et al. COX7A2L is a mitochondrial complex III binding protein that stabilizes the III2+IV supercomplex without affecting respirasome formation. Cell Rep. 16, 2387\u20132398 (2016).<\/p>\n PubMed<\/a>\u00a0 Cogliati, S. et al. Mechanism of super-assembly of respiratory complexes III and IV. Nature 539, 579\u2013582 (2016).<\/p>\n CAS<\/a>\u00a0 Mair, B., Aregger, M., Tong, A. H. Y., Chan, K. S. K. & Moffat, J. A method to map gene essentiality of human pluripotent stem cells by genome-scale CRISPR screens with inducible Cas9. Methods Mol. Biol. 2377, 1\u201327 (2022).<\/p>\n CAS<\/a>\u00a0 Brockmann, M. et al. Genetic wiring maps of single-cell protein states reveal an off-switch for GPCR signalling. Nature 546, 307\u2013311 (2017).<\/p>\n ADS<\/a>\u00a0 Martin, M. Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet J. 17, https:\/\/doi.org\/10.14806\/ej.17.1.200<\/a> (2011).<\/p>\n Langmead, B., Trapnell, C., Pop, M. & Salzberg, S. L. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. Genome Biol. 10, R25 (2009).<\/p>\n PubMed<\/a>\u00a0 Quinlan, A. R. & Hall, I. M. BEDTools: a flexible suite of utilities for comparing genomic features. Bioinformatics 26, 841\u2013842 (2010).<\/p>\n CAS<\/a>\u00a0 Hart, T. et al. High-resolution CRISPR screens reveal fitness genes and genotype-specific cancer liabilities. Cell 163, 1515\u20131526 (2015).<\/p>\n CAS<\/a>\u00a0 Herzog, K. et al. Lipidomic analysis of fibroblasts from Zellweger spectrum disorder patients identifies disease-specific phospholipid ratios. J. Lipid Res. 57, 1447\u20131454 (2016).<\/p>\n CAS<\/a>\u00a0 Chambers, M. C. et al. A cross-platform toolkit for mass spectrometry and proteomics. Nat. Biotechnol. 30, 918\u2013920 (2012).<\/p>\n CAS<\/a>\u00a0 Sumner, L. W. et al. Proposed minimum reporting standards for chemical analysis. Metabolomics 3, 211\u2013221 (2007).<\/p>\n CAS<\/a>\u00a0 Pinault, M. et al. A 1D high performance thin layer chromatography method validated to quantify phospholipids including cardiolipin and monolysocardiolipin from biological samples. Eur. J. Lipid Sci. Technol. 122, 1900240 (2020).<\/p>\n CAS<\/a>\u00a0 Plekhanov, A. Y. Rapid staining of lipids on thin-layer chromatograms with amido black 10B and other water-soluble stains. Anal. Biochem. 271, 186\u2013187 (1999).<\/p>\n CAS<\/a>\u00a0 Jha, P., Wang, X. & Auwerx, J. Analysis of mitochondrial respiratory chain supercomplexes using blue native polyacrylamide gel electrophoresis (BN-PAGE). Curr. Protoc. Mouse Biol. 6, 1\u201314 (2016).<\/p>\n PubMed<\/a>\u00a0 Bolger, A. M., Lohse, M. & Usadel, B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30, 2114\u20132120 (2014).<\/p>\n CAS<\/a>\u00a0 Dobin, A. et al. STAR: ultrafast universal RNA-seq aligner. Bioinformatics 29, 15\u201321 (2013).<\/p>\n CAS<\/a>\u00a0 Aken, B. L. et al. Ensembl 2017. Nucleic Acids Res. 45, D635\u2013D642 (2017).<\/p>\n CAS<\/a>\u00a0 Li, B. & Dewey, C. N. RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome. BMC Bioinformatics 12, 323 (2011).<\/p>\n CAS<\/a>\u00a0 Fonslow, B. R. et al. Digestion and depletion of abundant proteins improves proteomic coverage. Nat. Methods 10, 54\u201356 (2013).<\/p>\n CAS<\/a>\u00a0 Washburn, M. P., Wolters, D. & Yates, J. R. III Large-scale analysis of the yeast proteome by multidimensional protein identification technology. Nat. Biotechnol. 19, 242\u2013247 (2001).<\/p>\n CAS<\/a>\u00a0 He, L., Diedrich, J., Chu, Y. Y. & Yates, J. R. 3rd Extracting accurate precursor information for tandem mass spectra by RawConverter. Anal. Chem. 87, 11361\u201311367 (2015).<\/p>\n CAS<\/a>\u00a0 Xu, T. et al. ProLuCID: an improved SEQUEST-like algorithm with enhanced sensitivity and specificity. J. Proteomics 129, 16\u201324 (2015).<\/p>\n CAS<\/a>\u00a0 Tabb, D. L., McDonald, W. H. & Yates, J. R. III DTASelect and Contrast: tools for assembling and comparing protein identifications from shotgun proteomics. J. Proteome Res. 1, 21\u201326 (2002).<\/p>\n CAS<\/a>\u00a0 Gao, J. et al. CIMAGE2.0: an expanded tool for quantitative analysis of activity-based protein profiling (ABPP) data. J. Proteome Res. 20, 4893\u20134900 (2021).<\/p>\n CAS<\/a>\u00a0 Weerapana, E. et al. Quantitative reactivity profiling predicts functional cysteines in proteomes. Nature 468, 790\u2013795 (2010).<\/p>\n ADS<\/a>\u00a0 Wang, S. et al. AAV gene therapy prevents and reverses heart failure in a murine knockout model of Barth syndrome. Circ. Res. 126, 1024\u20131039 (2020).<\/p>\n CAS<\/a>\u00a0 Ren, M. et al. Extramitochondrial cardiolipin suggests a novel function of mitochondria in spermatogenesis. J. Cell Biol. 218, 1491\u20131502 (2019).<\/p>\n CAS<\/a>\u00a0 Molenaars, M. et al. Metabolomics and lipidomics in Caenorhabditis elegans using a single-sample preparation. Dis. Model. Mech. 14, https:\/\/doi.org\/10.1242\/dmm.047746<\/a> (2021).<\/p>\n Kulik, W. et al. Bloodspot assay using HPLC\u2013tandem mass spectrometry for detection of Barth syndrome. Clin. Chem. 54, 371\u2013378 (2008).<\/p>\n van der Sande, M. et al. Seq2science: an end-to-end workflow for functional genomics analysis. PeerJ 11, e16380 (2023).<\/p>\n PubMed<\/a>\u00a0 Chen, S., Zhou, Y., Chen, Y. & Gu, J. fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics 34, i884\u2013i890 (2018).<\/p>\n PubMed<\/a>\u00a0 Fr\u00f6lich, S., van der Sande, M., Sch\u00e4fers, T. & van Heeringen, S. J. genomepy: genes and genomes at your fingertips. Bioinformatics 39, https:\/\/doi.org\/10.1093\/bioinformatics\/btad119<\/a> (2023).<\/p>\n Li, H. et al. The Sequence Alignment\/Map format and SAMtools. Bioinformatics 25, 2078\u20132079 (2009).<\/p>\n PubMed<\/a>\u00a0 Patro, R., Duggal, G., Love, M. I., Irizarry, R. A. & Kingsford, C. Salmon provides fast and bias-aware quantification of transcript expression. Nat. Methods 14, 417\u2013419 (2017).<\/p>\n CAS<\/a>\u00a0 Wang, L., Wang, S. & Li, W. RSeQC: quality control of RNA-seq experiments. Bioinformatics 28, 2184\u20132185 (2012).<\/p>\n CAS<\/a>\u00a0 Ram\u00edrez, F. et al. deepTools2: a next generation web server for deep-sequencing data analysis. Nucleic Acids Res. 44, W160\u2013W165 (2016).<\/p>\n PubMed<\/a>\u00a0 Sayols, S., Scherzinger, D. & Klein, H. dupRadar: a Bioconductor package for the assessment of PCR artifacts in RNA-Seq data. BMC Bioinformatics 17, 428 (2016).<\/p>\n PubMed<\/a>\u00a0 Kent, W. J. et al. The human genome browser at UCSC. Genome Res. 12, 996\u20131006 (2002).<\/p>\n CAS<\/a>\u00a0 Ewels, P., Magnusson, M., Lundin, S. & K\u00e4ller, M. MultiQC: summarize analysis results for multiple tools and samples in a single report. Bioinformatics 32, 3047\u20133048 (2016).<\/p>\n CAS<\/a>\u00a0 Gertsenstein, M. & Nutter, L. M. J. Production of knockout mouse lines with Cas9. Methods 191, 32\u201343 (2021).<\/p>\n CAS<\/a>\u00a0 Jumper, J. et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583\u2013589 (2021).<\/p>\n ADS<\/a>\u00a0 Eberhardt, J., Santos-Martins, D., Tillack, A. F. & Forli, S. AutoDock Vina 1.2.0: New Docking Methods, Expanded Force Field, and Python Bindings. J. Chem. Inf. Model. 61, 3891\u20133898 (2021).<\/p>\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n","protected":false},"excerpt":{"rendered":"Schlame, M. & Xu, Y. The function of tafazzin, a mitochondrial phospholipid-lysophospholipid acyltransferase. J. Mol. Biol. 432, 5043\u20135051…\n","protected":false},"author":2,"featured_media":118514,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[25],"tags":[49,48,66019,316,1099,66020,32342,1100,66],"class_list":{"0":"post-118513","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-genetics","8":"tag-ca","9":"tag-canada","10":"tag-genetic-interaction","11":"tag-genetics","12":"tag-humanities-and-social-sciences","13":"tag-hydrolases","14":"tag-metabolic-disorders","15":"tag-multidisciplinary","16":"tag-science"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts\/118513","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/comments?post=118513"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts\/118513\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/media\/118514"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/media?parent=118513"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/categories?post=118513"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/tags?post=118513"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}