We combine Gal4/UAS, FLP/FRT and fluorescent reporters to generate cell clones that provide spatial, temporal, and genetic information about the origins of individual cells in Drosophila. We name this combination the Gal4 Technique for Real-time and Clonal Expression (G-TRACE). The approach should allow for screening and the identification of real-time and lineage-traced expression patterns on a genomic scale.

Arginine methylation is a common posttranslational modification that is found on both histone and non-histone proteins. Three types of arginine methylation exist in mammalian cells: monomethylarginine (MMA), asymmetric dimethylarginine (ADMA) and symmetric dimethylarginine (SDMA). PRMT1 is the primary methyltransferase that deposits the ADMA mark, and it accounts for over 90% of this type of methylation. Here, we show that with the loss of PRMT1 activity, there are major increases in global MMA and SDMA levels, as detected by type-specific antibodies. Amino acid analysis confirms that MMA and SDMA levels accumulate when ADMA levels are reduced. These findings reveal the dynamic interplay between different arginine methylation types in the cells, and that the pre-existence of the dominant ADMA mark can block the occurrence of SDMA and MMA marks on the same substrate. This study provides clear evidence of competition for different arginine methylation types on the same substrates.

SUMMARY mtDNA sequence alterations are challenging to generate but desirable for basic studies and potential correction of mtDNA diseases. Here, we report a new method for transferring isolated mitochondria into somatic mammalian cells using a photothermal nanoblade, which bypasses endocytosis and cell fusion. The nanoblade rescued the pyrimidine auxotroph phenotype and respiration of ρ0 cells that lack mtDNA. Three stable isogenic nanoblade-rescued clones grown in uridine-free medium showed distinct bioenergetics profiles. Rescue lines 1 and 3 reestablished nucleus-encoded anapleurotic and catapleurotic enzyme gene expression patterns and had metabolite profiles similar to the parent cells from which the ρ0 recipient cells were derived. By contrast, rescue line 2 retained a ρ0 cell metabolic phenotype despite growth in uridine-free selection. The known influence of metabolite levels on cellular processes, including epigenome modifications and gene expression, suggest metabolite profiling can help assess the quality and function of mtDNA modified cells.

Summary Human mitochondria produce ATP and metabolites to support development and maintain cellular homeostasis. Mitochondria harbor multiple copies of a maternally-inherited, non-nuclear genome (mtDNA) that encodes for 13 subunit proteins of the respiratory chain. Mutations in mtDNA occur mainly in the 24 non-coding genes, with specific mutations implicated in early death, neuromuscular and neurodegenerative diseases, cancer, and diabetes. A significant barrier to new insights in mitochondrial biology and clinical applications for mtDNA disorders is our general inability to manipulate the mtDNA sequence. Microinjection, cytoplasmic fusion, nucleic acid import strategies, targeted endonucleases, and newer approaches that include the transfer of genomic DNA, somatic cell reprogramming, and a photothermal nanoblade, attempt to change the mtDNA sequence in target cells with varying efficiencies and limitations. Here, we discuss the current state of manipulating mammalian mtDNA and provide an outlook for mitochondrial reverse genetics, which could further enable mitochondrial research and therapies for mtDNA diseases.

Background: LaeA, a putative methyltransferase in Aspergillus nidulans, is a master regulator of secondary metabolism. Results: LaeA automethylates at a methionine residue near the AdoMet-binding site. This modification is not required for in vivo function. Conclusion: Automethylation of LaeA reveals a novel protein methionine methyltransferase activity. Significance: Elucidating the substrate(s) of LaeA will provide insights into the physiological function of LaeA in modulating gene expression.