Engineering biological nitrogen fixation in eukaryotic cells by direct introduction ofnifgenes requires elegant synthetic biology approaches to ensure that components required for the biosynthesis of active nitrogenase are stable and expressed in the appropriate stoichiometry. Previously, the NifD subunits of nitrogenase MoFe protein fromAzotobacter vinelandiiandKlebsiella oxytocawere found to be unstable in yeast and plant mitochondria, respectively, presenting a bottleneck to the assembly of active MoFe protein in eukaryotic cells. In this study, we have delineated the region and subsequently a key residue, NifD-R98, fromK. oxytocathat confers susceptibility to protease-mediated degradation in mitochondria. The effect observed is pervasive, as R98 is conserved among all NifD proteins analyzed. NifD proteins from four representative diazotrophs, but not their R98 variants, were observed to be unstable in yeast mitochondria. Furthermore, by reconstituting mitochondrial-processing peptidases (MPPs) from yeast,Oryza sativa,Nicotiana tabacum, andArabidopsis thalianainEscherichia coli, we demonstrated that MPPs are responsible for cleavage of NifD. These results indicate a pervasive effect on the stability of NifD proteins in mitochondria resulting from cleavage by MPPs. NifD-R98 variants that retained high levels of nitrogenase activity were obtained, with the potential to stably target active MoFe protein to mitochondria. This reconstitution approach could help preevaluate the stability of Nif proteins for plant expression and paves the way for engineering active nitrogenase in plant organelles.
RNA localization is involved in multiple biological processes. Recent advances in subcellular fractionation-based sequencing approaches uncovered localization pattern on a global scale. Most of existing methods adopt relative localization ratios (such as ratios of separately normalized transcripts per millions of different subcellular fractions without considering the difference in total RNA abundances in different fractions), however, absolute ratios may yield different results on the preference to different cellular compartment. Experimentally, adding external Spike-in RNAs to different fractionation can be used to obtain absolute ratios. In addition, a spike-in independent computational approach based on multiple linear regression model can also be used. However, currently, no custom tool is available. To solve this problem, we developed a method called subcellular fraction abundance estimator to correctly estimate relative RNA abundances of different subcellular fractionations. The ratios estimated by our method were consistent with existing reports. By applying the estimated ratios for different fractions, we explored the RNA localization pattern in cell lines and also predicted RBP motifs that were associated with different localization patterns. In addition, we showed that different isoforms of same genes could exhibit distinct localization patterns. To conclude, we believed our tool will facilitate future subcellular fractionation-related sequencing study to explore the function of RNA localization in various biological problems.
Hydrogel-based evaporative cooling with a low carbon footprint is regarded as a promising technology for thermal regulation. Yet, the efficiency of hydrogel regeneration at night generally mismatches with vapor evaporation during the day, resulting in a limited cooling time span, especially in arid regions. In this work, we propose an efficient approach to improve hydrogel cooling performance, especially the cooling time span, with a bilayer structure, which comprises a bottom hydrogel layer and an upper aerogel layer. The microporous aerogel layer can reduce the saturation vapor density at the hydrogel surface by employing daytime radiative cooling, together with increased convective heat transfer resistance by thermal insulation, thus boosting the duration of evaporative cooling. Specifically, the microstructure of porous aerogel for efficient radiative cooling and vapor transfer is synergistically optimized with a cooling performance model. Results reveal that the proposed structure with a 2-mm-thick SiO2 aerogel can reduce the temperature by 1.4 °C, meanwhile extending the evaporative cooling time span by 11 times compared to a single hydrogel layer.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.