Germline mutations in mitochondrial complex I reveal genetic and targetable vulnerability in IDH1-mutant acute myeloid leukaemia.

The interaction of germline variation and somatic cancer driver mutations is under-investigated. Here we describe the genomic mitochondrial landscape in adult acute myeloid leukaemia (AML) and show that rare variants affecting the nuclear- and mitochondrially-encoded complex I genes show near-mutual exclusivity with somatic driver mutations affecting isocitrate dehydrogenase 1 (IDH1), but not IDH2 suggesting a unique epistatic relationship. Whereas AML cells with rare complex I variants or mutations in IDH1 or IDH2 all display attenuated mitochondrial respiration, heightened sensitivity to complex I inhibitors including the clinical-grade inhibitor, IACS-010759, is observed only for IDH1-mutant AML. Furthermore, IDH1 mutant blasts that are resistant to the IDH1-mutant inhibitor, ivosidenib, retain sensitivity to complex I inhibition. We propose that the IDH1 mutation limits the flexibility for citrate utilization in the presence of impaired complex I activity to a degree that is not apparent in IDH2 mutant cells, exposing a mutation-specific metabolic vulnerability. This reduced metabolic plasticity explains the epistatic relationship between the germline complex I variants and oncogenic IDH1 mutation underscoring the utility of genomic data in revealing metabolic vulnerabilities with implications for therapy.

Structural and functional measures of marine microbial communities: An experiment to assess implications for oil spill management.

Microbial communities are ecologically important in aquatic environments and impacts on microbes have the potential to affect a number of functional processes. We have amended seawater with a crude oil and assessed changes in species composition as well as a measure of functional diversity (the ability of the community to utilise different carbon sources) and the community level metabolic signature. We found that there was a degree of functional redundancy in the community we tested. Oiled assemblages became less diverse and more dominated by specialist hydrocarbon degraders, carbon source utilisation increased initially but there was no change in metabolic signature in this small scale laboratory experiment. This study supports the decision framework around management of oil spills. This package of methods has the potential to be used in the testing and selection of new dispersants for use in oil spill response.

Analysis of the Oryza sativa plasma membrane proteome using combined protein and peptide fractionation approaches in conjunction with mass spectrometry.

To identify integral and peripheral plasma membrane (PM) proteins from Oryza sativa (rice), highly enriched PM fractions from rice suspension cultured cells were analyzed using two complementary approaches. The PM was enriched using aqueous two-phase partitioning and high pH carbonate washing to remove soluble, contaminating proteins and characterized using enzymatic and immunological analyses. Proteins from the carbonate-washed PM (WPM) were analyzed by either one-dimensional gel electrophoresis (1D-SDS-PAGE) followed by tryptic proteolysis or proteolysis followed by strong cation exchange liquid chromatography (LC) with subsequent analysis of the tryptic peptides by LC-MS/MS (termed Gel-LC-MS/MS and 2D-LC-MS/MS, respectively). Combining the results of these two approaches, 438 proteins were identified on the basis of two or more matching peptides, and a further 367 proteins were identified on the basis of single peptide matches after data analysis with two independent search algorithms. Of these 805 proteins, 350 were predicted to be PM or PM-associated proteins. Four hundred and twenty-five proteins (53%) were predicted to be integrally associated with a membrane, via either one or many (up to 16) transmembrane domains, a GPI-anchor, or membrane-spanning beta-barrels. Approximately 80% of the 805 identified proteins were assigned a predicted function, based on similarity to proteins of known function or the presence of functional domains. Proteins involved in PM-related activities such as signaling (21% of the 805 proteins), transporters and ATPases (14%), and cellular trafficking (8%), such as via vesicles involved in endo- and exocytosis, were identified. Proteins that are involved in cell wall biosynthesis were also identified (5%) and included three cellulose synthase (CESA) proteins, a cellulose synthase-like D (CSLD) protein, cellulases, and several callose synthases. Approximately 20% of the proteins identified in this study remained functionally unclassified despite being predicted to be membrane proteins.

Evaluation of proteome reference maps for cross-species identification of proteins by peptide mass fingerprinting.

We tested whether proteome reference maps established for one species can be used for cross-species protein identification by comparing two-dimensional protein gel patterns and protein identification data of two closely related bacterial strains and four plant species. First, proteome profiles of two strains of the fully sequenced bacterium Sinorhizobium meliloti were compared as an example of close relatedness, high reproducibility and sequence availability. Secondly, the proteome profiles of three legumes (Medicago truncatula, Melilotus alba and Trifolium subterraneum), and the nonlegume rice (Oryza sativa) were analysed to test cross-species similarities. In general, we found stronger similarities in gel patterns of the arrayed proteins between the two bacterial strains and between the plant species than could be expected from the sequence similarities. However, protein identity could not be concluded from their gel position, not even when comparing strains of the same species. Surprisingly, in the bacterial strains peptide mass fingerprinting was more reliable for species-specific protein identification than N-terminal sequencing. While peptide masses were found to be unreliable for cross-species protein identification, we present useful criteria to determine confident matching against species-specific expressed sequence tag databases. In conclusion, we present evidence that cautions the use of proteome reference maps and peptide mass fingerprinting for cross-species protein identification.